Dissertations / Theses: 'Ambient intelligent'

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Akhlaghinia, M. J. "Occupancy monitoring and prediction in ambient intelligent environment." Thesis, Nottingham Trent University, 2010. http://irep.ntu.ac.uk/id/eprint/281/.

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Occupancy monitoring and prediction as an influential factor in the extraction of occupants' behavioural patterns for the realisation of ambient intelligent environments is addressed in this research. The proposed occupancy monitoring technique uses occupancy detection sensors with unobtrusive features to monitor occupancy in the environment. Initially the occupancy detection is conducted for a purely single-occupant environment. Then, it is extended to the multipleoccupant environment and associated problems are investigated. Along with the occupancy monitoring, it is aimed to supply prediction techniques with a suitable occupancy signal as the input which can enhance efforts in developing ambient intelligent environments. By predicting the occupancy pattern of monitored occupants, safety, security, the convenience of occupants, and energy saving can be improved. Elderly care and supporting people with health problems like dementia and Alzheimer disease are amongst the applications of such an environment. In the research, environments are considered in different scenarios based on the complexity of the problem including single-occupant and multiple-occupant scenarios. Using simple sensory devices instead of visual equipment without any impact on privacy and her/his normal daily activity, an occupant is monitored in a living or working environment in the single-occupant scenario. ZigBee wireless communication technology is used to collect signals from sensory devices such as motion detection sensors and door contact sensors. All these technologies together including sensors, wireless communication, and tagging are integrated as a wireless sensory agent. The occupancy data is then collected from different areas in the monitored environment by installing a wireless sensory agent in each area. In a multiple-occupant scenario, monitored occupants are tagged to support sensory signals in distinguishing them from nonmonitored occupants or visitors. Upon enabling the wireless sensory agents to measure the radio signal strength of received data from tags associated with occupants, wireless localising sensory agents are formed and used for occupancy data collection in the multiple-occupant scenario. After the data collection, suitable occupancy time-series are generated from the collected raw data by applying analysis and suitable occupancy signal representation methods, which make it possible to apply time-series predictors for the prediction of reshaped occupancy signal. In addition, an occupancy signal generator is proposed and implemented to generate sufficient occupancy signal data for choosing the best amongst the prediction techniques. After converting the occupancy of different areas in an environment to an occupancy timeseries, the occupancy prediction problem is solved by time-series analysis and prediction techniques for the single-occupant scenario. The proposed technique has made it possible to predict the occupancy signal for 530 seconds in a real environment and up to 900 seconds for a virtual environment. The occupancy signal generator created based on the proposed statistical model is proved to be able to generate different occupancy signals for different occupant profiles incorporating different environmental layouts. This can give a good understanding of the occupancy pattern in indoor spaces and the effect of the uncertainty factors in the occupancy time-series. In the multiple-occupant scenario, the tagging technology integrated with data acquisition system has made it possible to distinguish monitored occupants and separate their occupancy signals. Separated signals can then be treated as individual time-series for prediction. All the proposed techniques and models are tested and validated by real occupancy data collected from different environments.

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Doctor, Faiyaz. "Adaptive fuzzy embedded agent approaches for ambient intelligent environments." Thesis, University of Essex, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542367.

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el, Sayed Mewafy Sherif. "Investigation into the creation of an ambient intelligent physiology measurement environment to facilitate modelling of the human wellbeing." Thesis, University of South Wales, 2014. https://pure.southwales.ac.uk/en/studentthesis/investigation-into-the-creation-of-an-ambient-intelligent-physiology-measurement-environment-to-facilitate-modelling-of-the-human-wellbeing(27f3cf96-357d-49fa-a19f-cf60e9ae0347).html.

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The elderly population worldwide has an increasing expectation of wellbeing and life expectancy. The monitoring of the majority of elderly people on an individual basis, in a medical sense, will not be a viable proposition in the future due to the projected numbers of individuals requiring such activity. The expectation is that the infrastructure available will not be adequate to meet all the anticipated requirements and subsequently people will have to live at home with inadequate care. A new global objective that aims towards enhancing the quality of life of the elderly is being supported by extensive research. This research has been taking place in the field of ambient intelligence (AmI), considering factors including more comfort, improved health, enhanced security for the elderly, and facilitating the living in their homes longer. Prior research has shown a need for accelerated expansion in the ambient intelligence domain. To that end this work presents a novel learning technique for intelligent agents that can be used in Ambient Intelligent Environments (AIEs). The main objective of this work is to add knowledge to the AmI domain and to explore the practical applications within this research field. The added knowledge is accomplished through the development of an ambient intelligent health care environment that allows a practical assessment of the human well-being to take place. This is achieved by transforming the elderly living environment into an intelligent pseudo robot within which they reside to better understand the human wellbeing. The system developed aims to provide evidence that a level of automated care is both possible and practical. This care is for those with chronic physical or mental disabilities who have difficulty in their interactions with standardised living spaces. The novel integrated hardware and software architecture provides personalised environmental monitoring. It also provides control facilities based on the patient‘s physical and emotional wellness in their home. Entitled Health Adaptive Online Emotion Fuzzy Agent (HAOEFA), the system provides a non-invasive, self-learning, intelligent controlling system that constantly adapts to the requirements of an individual. The system has the ability to model and learn the user behaviour in order to control the environment on their behalf. This is achieved with respect to the changing environmental conditions as well as the user‘s health and emotional states being detected. A change of emotion can have a direct impact on the system‘s control taking place in the environment. Thus HAOEFA combines an emotion recognition system within a fuzzy logic learning and adaptation based controller. The emotion recogniser detects the occupant‘s emotions upon the changes of the physiological data being monitored. In addition to acting as an output to the occupant‘s physiological changes, the detected emotion also acts as input to the whole situation being observed by HAOEFA. This allows HAOEFA to control the Glam i-HomeCare on the user‘s behalf with respect to their emotional status. The system developed incorporates real-time, continuous adaptations to facilitate any changes to the occupant‘s behaviour within the environment. It also allows the rules to be adapted and extended online, assisting a life-long learning technique as the environmental conditions change and the user behaviour adjusts with it. HAOEFA uses the fuzzy c-means clustering methodology for extracting membership functions (MFs) before building its set of fuzzy rules. These MFs together with the rules base constitute a major part of the proposed system. It has the ability to learn and model the individual human behaviour with respect to their emotional status. Following the provided literature review and the presentation of Fuzzy logic MFs (see section 3.3). The thesis presents two chosen unobtrusive self-learning techniques that are used in the development of the intelligent fuzzy system. Each approach combines an emotion recogniser with a fuzzy logic learning and adaptation based technique for systems that can be used in AIEs. A comparison of two different MFs designs is contrasted showing the impact they have on the system learning ability. A number of carefully designed experiments were performed by volunteers in the Glam i-HomeCare test-bed at the University of South Wales to examine the system‘s ability to learn the occupant‘s behaviour with respect to their health and emotional states. The experimental procedures were performed twice by each volunteer, while maintaining the same behavioural actions to compare how much the design of fuzzy membership functions can impact the learning process and the number of rules created by the system. Besides evaluating both systems‘ emotion recognition accuracies and comparing them to one another for each occupant, the empirical outcomes show the potential of the approach in assisting the extension of independent living. The results demonstrate how the type-1 fuzzy system both learnt and adapted to each occupant‘s behaviour with respect to their health and emotional state whilst assessing multiple environmental conditions.

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Kunnappilly, Ashalatha. "Formally Assured Intelligent Systems for Enhanced Ambient Assisted Living Support." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42922.

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Ambient Assisted Living (AAL) solutions are aimed to assist the elderly in their independent and safe living. During the last decade, the AAL field has witnessed a significant development due to advancements in Information and Communication Technologies, Ubiquitous Computing and Internet of Things. However, a closer look at the existing AAL solutions shows that these improvements are used mostly to deliver one or a few functions mainly of the same type (e.g. health monitoring functions). There are comparatively fewer initiatives that integrate different kinds of AAL functionalities, such as fall detection, reminders, fire alarms, etc., besides health monitoring, into a common framework, with intelligent decision-making that can thereby offer enhanced reasoning by combining multiple events. To address this shortage, in this thesis, we propose two different categories of AAL architecture frameworks onto which different functionalities, chosen based on user preferences, can be integrated. One of them follows a centralized approach, using an intelligent Decision Support System (DSS), and the other, follows a truly distributed approach, involving multiple intelligent agents. The centralized architecture is our initial choice, due to its ease of development by combining multiple functionalities with a centralized DSS that can assess the dependency between multiple events in real time. While easy to develop, our centralized solution suffers from the well-known single point of failure, which we remove by adding a redundant DSS. Nevertheless, the scalability, flexibility, multiple user accesses, and potential self-healing capability of the centralized solution are hard to achieve, therefore we also propose a distributed, agent-based architecture as a second solution, to provide the community with two different AAL solutions that can be applied depending on needs and available resources. Both solutions are to be used in safety-critical applications, therefore their design-time assurance, that is, providing a guarantee that they meet functional requirements and deliver the needed quality-of-service, is beneficial. Our first solution is a generic architecture that follows the design of many commercial AAL solutions with sensors, a data collector, DSS, security and privacy, database (DB) systems, user interfaces (UI), and cloud computing support. We represent this architecture in the Architecture Analysis and Design Language (AADL) via a set of component patterns that we propose. The advantage of using patterns is that they are easily re-usable when building specific AAL architectures. Our patterns describe the behavior of the components in the Behavioral Annex of AADL, and the error behavior in AADL's Error Annex. We also show various instantiations of our generic model that can be developed based on user requirements. To formally assure these solutions against functional, timing and reliability requirements, we show how we can employ exhaustive model checking using the state-of-art model checker, UPPAAL, and also statistical model-checking techniques with UPPAAL SMC, an extension of the UPPAAL model checker for stochastic systems, which can be employed in cases when exhaustive verification does not scale. The second proposed architecture is an agent-based architecture for AAL systems, where agents are intelligent entities capable of communicating with each other in order to decide on an action to take. Therefore, the decision support is now distributed among agents and can be used by multiple users distributed across multiple locations. Due to the fact that this solution requires describing agents and their interaction, the existing core AADL does not suffice as an architectural framework. Hence, we propose an extension to the core AADL language - The Agent Annex, with formal semantics as Stochastic Transition Systems, which allows us to specify probabilistic, non-deterministic and real-time AAL system behaviors. In order to formally assure our multi-agent system, we employ the state-of-art probabilistic model checker PRISM, which allows us to perform probabilistic yet exhaustive verification. As a final contribution, we also present a small-scale validation of an architecture of the first category, with end users from three countries (Romania, Poland, Denmark). This work has been carried out with partners from the mentioned countries. Our work in this thesis paves the way towards the development of user-centered, intelligent ambient assisted living solutions with ensured quality of service.

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Lidan, Hu. "An Intelligent Presentation System." Thesis, KTH, Kommunikationssystem, CoS, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91852.

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The master thesis project - Personal video: An Intelligent Presentation System (IPS) - was conducted at the Department of Communication Systems, Royal Institute of Technology (KTH), Stockholm, Sweden. The focus of this thesis is designing, building, and evaluating an intelligent environment for giving presentations which makes all the technologies of the existing devices invisible to the presenter, i.e., to remove difficulties of configuration, compatibility, etc. from hindering the user from being able to give their presentation. IPS is an application in a hot research field - Ambient Intelligence (AmI) which is influenced by user – centered design. Therefore, the goal of IPS is to improve the user’s experience. As compared to a traditional presentation system, IPS integrating several independent applications hence improving the user’s efficiency and offering greater user friendliness. In this thesis, a prototype of IPS was designed which combines an online presentation room booking system (running on a context server), a CGI presentation control module (running on a presentation server), and a cross platform control panel (which could be running on a PC, laptop, PDA, cellular phone, etc.). This prototype realized our goals of providing an intelligent and comfortable environment for both the presenters and the system a dministrators.

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Gallissot, Mathieu. "Modéliser le concept de confort dans un habitat intelligent : du multisensoriel au comportement." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00738342.

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La notion de confort dans les habitats est une problématique majeure pour résoudre des problèmes écologiques (consommation et émissions des bâtiments), économiques (réduction de coûts d'exploitation) et sociaux (maintien et assistance à domicile) qui définissent le développement durable. Cependant, cette notion de confort est complexe, par le nombre de paramètres qu'elle intègre, paramètres à la fois humains (perception) et physiques (mesure). Notre étude vise à modéliser cette notion de confort dans un contexte d'habitat intelligent. L'habitat intelligent émerge depuis le début des années 2000, et se positionne en héritier de la domotique, bénéficiant des progrès technologiques illustrés par l'informatique ubiquitaire et l'intelligence artificielle, concepts formants l'intelligence ambiante. La première partie de notre étude consiste à définir l'habitat intelligent, en formalisant les acquis (domotique) et les problématiques de recherche, sous l'angle de la représentation de connaissances par les modèles. Notre approche du bâtiment intelligent nous à permis de définir un cadre d'interopérabilité : un intergiciel capable de concentrer les paramètres et commandes d'un environnement. Cette interopérabilité est nécessaire de par l'hétérogénéité des objets communicants qui composent un habitat : hétérogénéité des applications, des protocoles de communication, de savoir-faire et d'usages. Les travaux réalisés dans cette première partie de l'étude nous ont permis d'instrumenter une plate-forme d'expérimentation : la plateforme Domus. Ainsi, en reconstituant un appartement, et en le dotant d'objets communicants, nous avons pu mettre en œuvre, par le biais de l'interopérabilité, un environnement intelligent, environnement qui se caractérise par une forte densité d'information et une capacité de réaction. La réalisation de cette plate-forme est nécessaire pour aborder des thématiques diverses liées à l'habitat, comme le confort. En effet, l'intelligence ambiante apporte une nouvelle dimension dans ce cadre de recherche : l'ubiquité. La densité croissante de capteurs nous permet de collecter plus d'informations, non seulement sur l'environnement mais également sur l'utilisateur et son comportement, définissant ainsi une nouvelle approche du confort : le confort adaptatif. Les travaux sur l'étude du confort dans les bâtiments se focalisent sur le confort thermique. Dans nos travaux, nous avons voulu nous intéresser au confort multi-sensoriel. Celui-ci permet d'une part de prendre en compte l'ensemble des paramètres qui agrémentent un environnement (l'air, le son, la vue) mais permet également de nous intéresser aux effets sensoriels croisés que peuvent induire ces modalités sur l'occupant. Par exemple, on soupçonne la température d'éclairage (éclairage rouge/chaud, éclairage bleu/froid) d'avoir une incidence sur la perception thermique. Des expérimentations ont en effet démontré l'approche pratique et l'approche théorique de ces effets multi-sensoriels. La mise en place de notre cadre d'interopérabilité, en première partie, dans la plateforme Domus et les résultats de nos évaluations expérimentales, en seconde partie, sur le confort réalisés dans cette même plateforme, nous permettent de participer à la définition d'un " confort-mètre ", qui s'appuie à la fois sur les capteurs, les objets de l'habitat et la perception des habitants.

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Rivera-Illingworth, Fernando. "An embedded-agent approach to activity recognition in domestic ambient intelligent environments." Thesis, University of Essex, 2009. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502218.

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Hu, Yunkai. "Ambient Backscatter and Reconfigurable Intelligent Surface Empowered Wireless Communications in Future 6G Networks." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/26679.

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In future wireless communication systems, a substantial proportion of devices will be connected to the Internet of Things (IoT) networks for data communications, which poses three critical challenges for designing IoT networks: cost efficiency, spectrum efficiency, and energy efficiency. Ambient backscatter communication (AmBC), a novel communication scheme that offers low-cost, spectrum-efficient, and energy-efficient data communications, has found itself a competitive solution for developing and deploying future IoT networks. In AmBC systems, the main design challenge is to decode the tag signals from the composite received signals. In this thesis, the author focuses on the transceiver design and performance analysis of the AmBC system by making the following contributions. Firstly, we design a machine learning-based detector to decode the tag signals for an AmBC system. The second focus of this thesis is to study the BER performance of the AmBC systems that utilize the RF source signals with error control coding. The ongoing developments of 5G wireless networks are continuously exposing some inherent limitations. Reconfigurable intelligent surface (RIS), a promising solution to overcome the limitations in current 5G wireless networks and enable the beyond 5G and future sixth-generation (6G) networks, has attracted increasing attention recently. In the third research focus, we investigate the performance of the RIS-assisted wireless system where the signal transmitted from the transmitter is protected by error control codes. We focus on deriving the analytical upper and lower bounds on the bit error probability of the RIS-assisted wireless system with LDPC-coded source signals. We further investigate the performance of the RIS-assisted wireless system with polar codes through simulations. In addition, we show that the deployment of RIS can enhance the system BER performance significantly by increasing the number of RIS reflecting elements.

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Gheisari, Masoud. "An ambient intelligent environment for accessing building information in facility management operations; A healthcare facility scenario." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52967.

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The Architecture, Engineering, Construction, and Operations (AECO) industry is constantly searching for new methods for increasing efficiency and productivity. Facility managers, as a part of the owner/operator role, work in complex and dynamic environments where critical decisions are constantly made. This decision-making process and its consequent performance can be improved by enhancing Situation Awareness (SA) of the facility managers through new digital technologies. SA, as a user-centered approach for understanding facility managers’ information requirement, together with Mobile Augmented Reality (MAR) was used for developing an Ambient Intelligent (AmI) environment for accessing building information in facilities. Augmented Reality has been considered as a viable option to reduce inefficiencies of data overload by providing facility managers with an SA-based tool for visualizing their “real-world” environment with added interactive data. Moreover, Building Information Modeling (BIM) was used as the data repository of the required building information. A pilot study was done to study the integration between SA, MAR, and BIM. InfoSPOT (Information Surveyed Point for Observation and Tracking) was developed as a low-cost solution that leverage current AR technology, showing that it is possible to take an idealized BIM model and integrate its data and 3D information in an MAR environment. A within-subjects user participation experiment and analysis was also conducted to evaluate the usability of the InfoSPOT in facility management related practices. The outcome of statistical analysis (a one-way repeated measure ANOVA) revealed that on average the mobile AR-based environment was relatively seamless and efficient for all participants in the study. Building on the InfoSPOT pilot study, an in-depth research was conducted in the area of healthcare facility management, integrating SA, MAR, and BIM to develop an AmI environment where facility mangers’ information requirement would be superimposed on their real-word view of the facility they maintain and would be interactively accessible through current mobile handheld technology. This AmI environment was compared to the traditional approach of conducting preventive and corrective maintenance using paper-based forms. The purpose of this part of the research was to investigate the hypothesis of “bringing 3D BIM models of building components in an AR environment and making it accessible through handheld mobile devices would help the facility managers to locate those components easier and faster compared to facility managers’ paper-based approach”. The result of this study shows that this innovative application of AR and integrating it with BIM to enhance the SA has the potential to improve construction practices, and in this case, facility management.

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Chahuara, Quispe Pedro. "Contrôle intelligent de la domotique à partir d'informations temporelles multi sources imprécises et incertaines." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00957941.

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La Maison Intelligente est une résidence équipée de technologie informatique qui assiste ses habitant dans les situations diverses de la vie domestique en essayant de gérer de manière optimale leur confort et leur sécurité par action sur la maison. La détection des situations anormales est un des points essentiels d'un système de surveillance à domicile. Ces situations peuvent être détectées en analysant les primitives générées par les étages de traitement audio et par les capteurs de l'appartement. Par exemple, la détection de cris et de bruits sourds (chute d'un objet lourd) dans un intervalle de temps réduit permet d'inférer l'occurrence d'une chute. Le but des travaux de cette thèse est la réalisation d'un contrôleur intelligent relié à tous les périphériques de la maison capable de réagir aux demandes de l'habitant (par commande vocale) et de reconnaître des situations à risque ou détresse. Pour accomplir cet objectif, il est nécessaire de représenter formellement et raisonner sur des informations, le plus souvent temporelles, à des niveaux d'abstraction différents. Le principale défi est le traitement de l'incertitude, l'imprécision, et incomplétude, qui caractérisent les informations dans ce domaine d'application. Par ailleurs, les décisions prises par le contrôleur doivent tenir compte du contexte dans lequel une ordre est donné, ce qui nous place dans l'informatique sensible au contexte. Le contexte est composé des informations de haut niveau tels que la localisation, l'activité en cours de réalisation, la période de la journée. Les recherches présentées dans ce manuscrit peuvent être divisés principalement en trois axes: la réalisation des méthodes d'inférence pour acquérir les informations du contexte(notamment, la localisation de l'habitant y l'activité en cours) à partir des informations incertains, la représentation des connaissances sur l'environnement et les situations à risque, et finalement la prise de décision à partir des informations contextuelles. La dernière partie du manuscrit expose les résultats de la validation des méthodes proposées par des évaluations amenées à la plateforme expérimental Domus.

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Fontaine, Emeric. "Programmation d'espace intelligent par l'utilisateur final." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00744415.

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Cette thèse traite du problème du développement d'espaces intelligents par l'utilisateur final sous l'angle de l'Interaction Homme-Machine et de l'Intelligence Ambiante. Dans les processus actuels de développement, l'utilisateur est un consommateur contraint par un système pensé et réalisé par d'autres. L'objectif de cette thèse est de redonner le pouvoir à l'utilisateur final par le biais d'outils adaptés au développement d'espaces intelligents. Cette thèse retient l'habitat intelligent comme lieu de vie privilégié. Ses contributions incluent : (1) DisQo (Dispositifs du QuOtidien), une nouvelle méthode d'investigation des besoins, réalisable au domicile de familles, qui sollicite l'imagination et assure un juste équilibre entre contrôle expérimental, respect de la sphère privée et validité écologique des résultats ; (2) Un espace de classification pour une lecture comparative systématique et synthétique des outils portant sur le développement et la programmation d'habitats intelligents. Cette taxonomie met en évidence le peu d'avancées en édition multisyntaxe de même pour l'aide à la mise au point de programmes ; (3) KISS (Knit Your Ideas into Smart Spaces), un outil de programmation et de mise au point dont le langage de programmation est de type déclaratif orienté règles, avec potentiel d'égale opportunité syntaxique entre langue française pseudonaturelle (LPN) et langage visuel iconique. La technique d'interaction de construction des programmes LPN s'appuie sur l'utilisation de menus dont les options sont calculées dynamiquement assurant ainsi la découverte progressive du langage ainsi que l'extensibilité et la correction syntaxique et sémantique des programmes. La mise au point peut se pratiquer, au choix, dans le monde physique ou dans un monde dual numérique. L'évaluation de KISS dans DOMUS, un habitat intelligent d'expérimentation, montre que les utilisateurs parviennent à programmer un scénario réaliste de la vie réelle.

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PINARDI, STEFANO. "Movements recognition with intelligent multisensor analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19297.

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In movement science with inertial sensor many different methodologies resolving specific aspects of movement recognition have been proposed. They are very interesting, and useful, but none of them are generally explicative of what is going on in the semantic sense. When we go down to the movement recognition/classification area (for example in Ambient Intelligence) we do not have a feasible model that can be considered generally predictive or usable for activity recognition. Also, in the field of movement recognition with inertial sensors many technological issues arise: technological diversity, calibration matters, sensor model problems, orientation and position of sensors, and a lot of numerous specificities that, with all the above aspects, and the lack of public dataset of movements sufficiently generic and semantically rich, contribute to create a strong barrier to any approach to a classification matters with wearable sensors. We have also to notice that a movement is a phenomenon explicitly or implicitly (voluntary or involuntary) controlled by brain. The individual free-will introduce a further matter when we want to temporary predict the movements looking at the close past. Pattern can change at any time when ambient, psychological context, age of the subject change. Also, pathological issues, and physiological differences and the will of the subject, introduce important differences. For all these reasons I considered that a semantical /lexical approach to movement recognition with sensors, driven by machine learning techniques could be a promising way to solve some of these challenge and problems. In this Ph.D. Thesis wearable inertial sensors has been used to classify movements, the choice of inertial sensors has been driven by technological and practical advantages, they are cheap, lightweight, and - differently from video cameras - are not prone to the hidden face, or luminance problems. The main idea is to use inertial sensor to understand what a person is doing for ambient-intelligent, healthcare, medical-sport applications. My principal concerns was to propose a method that was not centered on technology issues but on data analysis, that could be a general framework and could also create a general representation of movement,that could be useful also in other area of research, like reasoning. Inertial sensors are treated just as an example, a particular type of sensors, the method is new, reusable, algorithmically simple, net and easy to understand. Accuracy is very high outperforming the best results given in literature, reducing the error rate of 4 times.

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Sernani, Paolo. "Design and virtualization of intelligent systems for the management of assistive environments." Doctoral thesis, Università Politecnica delle Marche, 2016. http://hdl.handle.net/11566/242973.

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L'invecchiamento della popolazione mondiale pone sfide senza precedenti. L'Ambient Assisted Living (AAL) punta all'estensione del tempo che le persone possono trascorrere nel loro ambiente preferito, promuovendo lo sviluppo delle Information & Communications Technology per supportare un invecchiamento attivo e sano. Questa tesi affronta le sfide lanciate dalla letteratura scientifica relativa all'AAL: la necessità di servizi interoperabili, la mancanza di una progettazione sistematica delle soluzioni per l'AAL e un grado di accettazione ancora basso verso le tecnologie dell'AAL. La tesi propone l'uso dell'Ingegneria del Software Orientata agli Agenti e della Programmazione Orientata agli Agenti per tutte le fasi di sviluppo di sistemi intelligenti per la gestione di ambienti assistivi, come le smart home. Le proprietà tipiche dei Sistemi Multi-Agente, come definite nella letteratura relativa all'Intelligenza Artificiale, permettono di costruire sistemi modulari e interoperabili, adatti per la gestione di reti di sensori e attuatori. Un contributo di questa tesi è la "Virtual Carer", un Sistema Multi-Agente basato sul paradigma Belief-Desire-Intention per la gestione di una smart home e del monitoraggio della salute di un assistito. Inoltre, la tesi raccomanda l'uso di serious game per aumentare la consapevolezza degli utenti finali verso le tecnologie abilitanti dell'AAL. La tesi presenta "Smart Tales", un awareness game basato sulla virtualizzazione di una smart home. L'obiettivo è promuovere l’AAL e le sue tecnologie presso il pubblico. In Smart Tales, il giocatore impersona un abitante di una smart home che è scettico sui dispositivi nella propria casa e che tenta di ingannare i sensori presenti. Durante il gioco, l'utente ottiene il contenuto informativo sull'AAL e ne impara le basi. Questa tesi presenta anche una valutazione formativa del gioco, eseguita con dieci utenti: i risultati sull'efficacia dell'apprendimento e sull'usabilità del gioco sono incoraggianti.
The global population ageing is posing unprecedented challenges. Ambient Assisted Living (AAL) aims at the extension of the time older adults can live in their preferred environment, by promoting the development of Information & Communications Technology to support active and healthy ageing. This thesis faces the issues raised by the scientific literature related to AAL: the need of interoperability between AAL services, the lack of a systematic design of AAL systems, and an unsatisfactory acceptance of AAL technology. The thesis proposes the use of Agent-Oriented Software Engineering and Agent-Oriented Programming as the ideal paradigms to cover all the development phases of intelligent systems to manage assistive environments, such as smart homes. The properties of agents and Multi-Agent Systems, as defined in Artificial Intelligence literature, allow to build modular and interoperable systems suitable for the management of networks of sensors and actuators in smart homes. In such context, one contribution of this thesis is the Virtual Carer, a Multi-Agent System based on the Belief-Desire-Intention paradigm for the management of a smart home and the health monitoring of an assisted person. Moreover, the thesis advocates the use of serious games to increase end-users' awareness towards the enabling technologies for AAL. The thesis presents Smart Tales, an awareness game based on the virtualization of a smart home. Its goal is to promote the concept of AAL and its technologies to the general audience. In Smart Tales, the player covers the role of a smart home resident who is skeptical about the unobtrusiveness of the home, and tries to cheat sensors. While doing so, the player gets the informative content of the game and learns the basics on AAL and sensor technology. Beside the design of the game, this thesis presents the results of a formative evaluation with ten users, which shows promising results about the learning effectiveness and the usability of Smart Tales.

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FREITAS, Marcelo Bassani de. "Sistema de predição de estados de transdutores para ambientes inteligentes." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/16361.

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Submitted by Haroudo Xavier Filho (haroudo.xavierfo@ufpe.br) on 2016-04-06T18:16:38Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) SISTEMA DE PREDIÇÃO DE ESTADOS DE TRANSDUTORES PARA AMBIEN.pdf: 2277201 bytes, checksum: 566bf1bfadd889426473a7471d98ef39 (MD5)
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CNPq
Nos Ambientes Inteligentes, os dispositivos colaboram entre si para auxiliar o usuário de forma não intrusiva. Uma forma de auxílio é antecipar as ações do usuário e realizá-las por ele ou facilitar a sua realização. Esse trabalho propõe um framework para a predição das ações do usuário pelo aprendizado do seu comportamento e hábitos enquanto ele interage com o Ambiente Inteligente. As ações do usuário é considerada como sendo a troca do valor de um transdutor (sensor ou atuador). A interação do usuário com o Ambiente Inteligente produz o contexto que é utilizado para a predição das ações. O preditor é um algoritmo de classificação supervisionada que aprende os padrões de comportamento do habitante do Ambiente Inteligente. Portanto, a solução proposta pode prover um serviço personalizado e adaptativo ao invés de um conjunto de regras predefinido por humanos. O preditor trabalha apenas com um transdutor alvo e para prever valores de mais transdutores, mais preditores devem ser treinados. A solução proposta é projetada para funcionar automaticamente sem a necessidade de interferência humana. Isso faz com que o habitante do Ambiente Inteligente sinta-se mais confortável já que sua privacidade estará protegida. Todas as informações para treinar o preditor podem ser obtidas diretamente dos transdutores do Ambiente Inteligente. Não existe a necessidade de anotação manual dos dados e nem dados extras como tipo do transdutor, localização do transdutor ou objeto ao qual o transdutor está acoplado. Isso aumenta a facilidade de instalação dos transdutores no Ambiente Inteligente. A saída do preditor pode tanto controlar diretamente um atuador ou ser enviada a um agente de software. Esse agente pode verificar condições de segurança ou requisitos de gerenciamento de energia antes de tomar a decisão. O foco desse trabalho é a geração de uma base de dados com os dados do contexto para o treinamento do preditor responsável por decidir se o transdutor alvo deverá ou não mudar seu valor. Vários parâmetros são considerados como o tamanho do período de treinamento, quantidade de ativações passadas que serão consideradas e quais são os transdutores mais relevantes para a predição. A solução proposta atinge uma melhora significativa para todos os transdutores estudados e a maioria das combinações de parâmetros da geração da base de dados possuem resultados melhores que o caso base. Além disso, os nossos resultados são superiores às outras soluções da literatura.
Smart environments possess devices that collaborate to help the user non-intrusively. One possible aid smart environment offer is to anticipate user’s tasks and perform them on his/her behalf or facilitate the action completion. In this work, we propose a framework that predicts user’s actions by learning his/her behavior when interacting with the smart environment. The user actions are considered as being the value change of a transducer (sensor or actuator). The user interaction with the smart environment produces the context used to predict the actions. The predictor is a supervised classification algorithm that learns the smart environment inhabitant behavior patterns. Therefore, the proposed solution can provide a personalized and adaptive service instead of a human predefined set of rules. The predictor works with only one transducer and to predict the values of several transducers, more predictors must be trained. The proposed solution is designed to work automatically without the need of human interference. That makes the smart environment inhabitant more comfortable since his/her privacy is protected. All the information needed to train the predictor can be obtained directly from the smart environment transducers. There is no need for manual data annotation or extra data such as transducer type, transducer location or which object the transducer is attached to. This facilitates the transducer installation in the smart environment. The predictor output can either control directly an actuator or be sent to an software agent. This software agent can check for security or energy constraints before making the decision. This work focus on prepare datasets and train a predictor that is responsible to decide whether a target transducer value should be changed or not. Several parameters are considered such as the training period size, amount of previous transducer activations considered and which are the most relevant transducers for the prediction. Our solution achieves a significant improvement for all target transducers studied and most combinations of parameters yields better results than the base case. Our results are superior to other solutions in the literature.

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Ondruška, Jiří. "Inteligentní prostředí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218672.

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Diploma thesis deals with Ambient intelligence issue. Represents its basic characteristic and demands for its realization. Describes actual stadium in this concept development and shows some present projects. Next focuses on Intelligent buildings issue. In connection with this addresses to so-called human behaviour patterns. Various methods of human behaviour patterns measurement are discussed there. Thesis then focuses on people counting system design, which is based on camera record. Such system represents way of human behaviour patterns measurement. Lastly, the using of this way obtained data is discussed.

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Singhee, Mukul. "A framework for the design of systems with intelligent and interactive information flow." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34841.

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Potentially transformational ideas in several applications of human and computer interaction form the motivation for this work. It is targeted towards a systematic approach to the design of systems with complex, intelligent and interactive exchange of information between a system and the environment it is meant to monitor, and gather knowledge about. The Pahl and Beitz systematic design method is modified with the inclusion of generic sub-systems from Living Systems Theory, modeling and simulation tools and other adaptations within the context of the validation square to synthesize a design method for the design of systems with intelligent and interactive information flow. The validation of the proposed design method is carried out with the aid of an example wherein a motion capture system is designed based on the Nintendo Wii Remote(TM). Results include an evaluation of the performance of a prototype as well as the design method itself in the context of the requirements that the method must fulfill.

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Breier, Guilherme Petry. "OSGi-FEMTOJAVA : plataforma reconfigurável para gerenciamento de serviços segundo o padrão OSGi." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/18421.

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Este trabalho apresenta o desenvolvimento de um sistema reconfigurável, baseado em OSGi (Open Services Gateway Initiative) para gateway residenciais utilizando-se da tecnologia FemtoJava, com o objetivo de automatizar a descoberta de serviços. Como sistemas de automação residencial/predial normalmente incluem produtos de diferentes fabricantes e possuem protocolos de comunicação diferentes, é necessário o uso de um agente que gerencie essa comunicação. Para que isso ocorra com sucesso, a OSGi Aliança oferece um conjunto de especificações numa plataforma aberta, em Java, para a entrega de vários tipos de serviços aos usuários finais. Utilizando as características do framework OSGi focados em ambientes inteligentes, é proposto um novo sistema de controle através desta arquitetura orientada a serviços para gateway residencial. O sistema foi implementado em uma plataforma reconfigurável da família Xilinx com o auxílio da ferramenta de síntese ISE. O trabalho também apresenta a validação da arquitetura proposta em um estudo de caso utilizando-se de dois módulos para interagir com o meio simulando um sistema de controle de temperatura.
This work presents the development of a reconfigurable system based on OSGi (Open Services Gateway Initiative) home gateway using the FemtoJava technology, aiming to automate the discovery of services. Automation home systems usually include products from different manufacturers and have different communication protocols, it is necessary to use an agent to manage this communication. For this to occur successfully, OSGi Alliance offers a range of specifications in an open platform, Java, for the delivery of various types of services to end users. Using OSGi framework features, intelligent environments focused on a new control system using this architecture targeted to services for residential gateway. The system was implemented on a reconfigurable platform family with the help of Xilinx ISE synthesis tool. The work also presents the validation of the architecture proposed in a case study using the two modules to interact with the environment simulating a temperature control system.

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Gouin-Vallerand, Charles. "Une approche autonome pour la gestion logicielle des espaces intelligents." Phd thesis, Institut National des Télécommunications, 2011. http://tel.archives-ouvertes.fr/tel-00681885.

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Depuis une vingtaine d'années, les développements dans les technologies de l'information ont fait évoluer les paradigmes de l'informatique. L'arrivée d'approches telles que l'informatique diffuse ont fait émerger de nouvelles technologies permettant d'améliorer la qualité des interactions avec les systèmes informatisés. Toutefois, la démocratisation de l'informatique diffuse et la mise en place des espaces intelligents rencontrent un bon nombre de problèmes. Le nombre important de composantes matérielles et logicielles et leurs natures hétérogènes contribuent à la complexité de déploiement et de gestion de ces milieux, entraînant des coûts élevés. Cette thèse vise à contribuer à la gestion logicielle des espaces intelligents par la réduction de la complexité des tâches de gestion. Notre proposition consiste en une approche autonome de la gestion logicielle, fondée sur l'approche de l'informatique diffuse autonome. Dans le cadre de ce travail, nous proposons une solution utilisant les informations contextuelles des milieux, afin de déterminer quelle répartition des logiciels parmi les appareils des milieux correspond le mieux au besoin des applications, des caractéristiques propres des environnements et, non le moindre, des modalités et préférences d'interaction des utilisateurs de ces milieux. La solution proposée a été implémentée et évaluée à l'aide d'une série de tests et de mises en situation d'organisation logicielle.

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Benazzouz, Yazid. "Découverte de contexte pour une adaptation automatique de services en intelligence ambiante." Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2011. http://tel.archives-ouvertes.fr/tel-00733013.

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Cette thèse s'intéresse à la problématique de l'adaptation automatique de services dans ledomaine de l'intelligence ambiante. L'étude de la littérature montre que la sensibilité aucontexte est devenue un élément central pour la conception et la mise en place de servicesadaptatifs. Cependant, sa prise en compte se limite généralement à des descriptionsélémentaires de situations ou à des modèles prédéfinis. Afin de permettre une adaptation auxchangements d'habitudes des utilisateurs, à la dynamique de l'environnement et àl'hétérogénéité des sources de perception, nous proposons des mécanismes de découverte decontexte et de situations déclencheurs d'adaptation. Ces mécanismes s'appuient sur destechniques de fouille de données et sont intégrés au sein d'une architecture d'adaptationautomatique de services. Ces travaux ont été réalisés et appliqués à des projets d'intelligenceambiante pour de l'assistance à des personnes et plus particulièrement dans le cadre du projetITEA- MIDAS.

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Danancher, Mickaël. "A discrete event approach for model-based location tracking of inhabitants in smart homes." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00955543.

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Life expectancy has continuously increased in most countries over the last decades and will probably continue to increase in the future. This leads to new challenges relative to the autonomy and the independence of elderly. The development of Smart Homes is a direction to face these challenges and to enable people to live longer in a safe and comfortable environment. Making a home smart consists in placing sensors, actuators and a controller in the house in order to take into account the behavior of their inhabitants and to act on their environment to improve their safety, health and comfort. Most of these approaches are based on the real-time indoor Location Tracking of the inhabitants. In this thesis, a whole new approach for model-based Location Tracking of an a priori unknown number of inhabitants is proposed. This approach is based on Discrete Event Systems paradigms, theory and tools. The usage of Finite Automata (FA) to model the detectable motion of the inhabitants as well as different methods to create such FA models have been developed. Based on these models, algorithms to perform efficient Location Tracking are defined. Finally, several approaches aiming at evaluating the relevance of the instrumentation of a Smart Home with the objective of Location Tracking are proposed. The approach has also been fully implemented and tested. Throughout the thesis, the different contributions are illustrated on case studies.

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Surie, Dipak. "Egocentric interaction for ambient intelligence." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-50822.

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Ambient intelligence refers to the vision of computationally augmented everyday environments that are sensitive, adaptive and responsive to humans and intelligently support their daily lives. Ambient ecologies are the infrastructures of ambient intelligence. To enable system developers to frame and manage the dynamic and complex interaction of humans with ambient ecologies consisting of a mixture of physical (real) and virtual (digital) objects, novel interaction paradigms are needed. Traditional interaction paradigms like the WIMP (windows, icon, menus, and pointing devices) paradigm for desktop computing operate in a closed world, unaware of the physical, social and cultural context. They restrict human perception and action to screen, mouse and keyboard with the assumption that human attention will be fully devoted to interaction with the computer. Emerging interaction paradigms for ambient intelligence are typically centered on specific devices, specific computing environments or specific human capabilities. Also, many of them are driven by technological advancements rather than viewing the human agent as their starting point. A principled, theoretical approach centered in the individual human agent, their situation and activities that are comprehensive and integrated while at the same time instrumental in the design of ambient ecologies has been lacking. This thesis introduces egocentric interaction as an approach towards the modeling of ambient ecologies with the distinguishing feature of taking the human agent’s body, situation and activities as center of reference, as opposed to the more common device-centric approaches in facilitating human-environment interaction. Egocentric interaction is encapsulated in a number of assumptions and principles such as situatedness, the proximity principle, the physical-virtual equity principle, perception and action instead of “input” and “output,” and activity-centeredness. A situative space model is proposed based on some of these principles. It is intended to capture what a specific human agent can perceive and not perceive, reach and not reach at any given moment in time. The situative space model is for the egocentric interaction paradigm what the virtual desktop is for the WIMP interaction paradigm: more or less everything of interest to a specific human agent is assumed and supposed to happen here. In addition, the conception and implementation of the easy ADL ecology based on egocentric interaction, comprising of smart objects, a personal activity-centric middleware, ambient intelligence applications aimed at everyday activity support, and a human agent literally in the middle of it all is described. The middleware was developed to address important challenges in ambient intelligence: (1) tracking and managing smart objects; (2) tracking a human agent’s situative spaces; (3) recognizing human activities and actions; (4) managing and facilitating human-environment interaction; and (5) to ease up the development of ambient intelligence applications. The easy ADL ecology was first simulated in immersive virtual reality, and then set up physically as a living laboratory to evaluate: (1) the technological and technical performance of individual middleware components, (2) to perform a user experience evaluation assessing various aspects of user satisfaction in relation to the support offered by the easy ADL ecology, and (3) to use it as a research test bed for addressing challenges in ambient intelligence. While it is problematic to directly compare the “proof-of-concept” easy ADL ecology with related research efforts, it is clear from the user experience evaluation that the subjects were positive with the services it offered.
easy ADL project

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FILHO, JOSE VITERBO. "DECENTRALIZED REASONING IN AMBIENT INTELLIGENCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=16428@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A computação ubíqua prevê a integração de sistemas computacionais ao nosso dia-a-dia para prover informações e funcionalidades em qualquer momento e lugar. Sistemas desse tipo englobam diferentes tipos de sensores e dispositivos móveis interconectados através de uma combinação de várias tecnologias de rede sem fio. Uma tendência particular nessa área é explorar o paradigma dos Ambientes Inteligentes (AmI), o qual visa à integração de tecnologias inovativas para criar ambientes mediados por computador que, através de serviços específicos, auxiliam os usuários em suas atividades com mínima intervenção. Em sistemas de AmI, mecanismos de inferência são fundamentais para disparar ações ou adaptações de acordo com situações que podem ser significativas e relevantes para aplicações. Muitos sistemas adotam uma abordagem centralizada para seus mecanismos de inferência. Em AmI, entretanto, essas operações podem ter que avaliar dados de contexto coletados de fontes distribuídas e armazenados em diferentes dispositivos, uma vez que geralmente nem todo dado de contexto está prontamente disponível para os serviços de inferência. O objetivo desta tese é propor uma abordagem descentralizada para executar inferência de contexto baseada em regras. Para isso, definimos um modelo de contexto assumindo que os dados de contexto são distribuídos em dois lados, o lado do usuário, representado pelos usuários e seus dispositivos móveis, e o lado do ambiente, representado pela infrastrutura computacional fixa e os serviços do ambiente. Formalizamos a operação de inferência cooperativa - na qual duas entidades cooperam para executar a inferência descentralizada baseada em regras - e definimos um processo completo para realizar esta operação. Finalmente, para mostrar que essa abordagem é possível, projetamos, implementamos e avaliamos o protótipo de um serviço de middleware que executa inferência baseada no processo de inferência cooperativa.
Ubiquitous computing features the seamless integration of computer systems into the everyday lives of users to provide information and functionalities anytime and anywhere. Such systems encompass different kinds of sensors and mobile devices interconnected through a combination of several wireless network technologies. A particular trend in this area is exploring the Ambient Intelligence (AmI) paradigm, which aims at the integration of innovative technologies to create computer-mediated environments that support user activities through specific services, with minimal user intervention. In AmI systems, reasoning is fundamental for triggering actions or adaptations according to specific situations that may be meaningful and relevant to some applications. Most middleware systems adopt a centralized approach for their reasoning mechanisms. In AmI environments, however, these reasoning operations may need to evaluate context data collected from distributed sources and stored in different devices, as usually not all context data is readily available to the reasoners within a ubiquitous system. The goal of this thesis is to propose a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems. For this sake, we defined a context model assuming that in AmI environments context data is distributed over two sides, the user side, represented by the users and their mobile devices, and the ambient side, represented by the fixed computational infrastructure and ambient services. We formalized the cooperative reasoning operation - in which two entities cooperate to perform decentralized rule-based reasoning - and defined a complete process to perform this operation. Finally, to show the feasibility of this approach, we designed, implemented and evaluated a middleware service supporting decentralized reasoning based cooperative reasoning process.

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Brunelli, Davide <1977&gt. "Electronic systems for ambient intelligence." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2007. http://amsdottorato.unibo.it/388/1/Brunelli_Davide_Tesi_dottorato_ing-inf01.pdf.

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Brunelli, Davide <1977&gt. "Electronic systems for ambient intelligence." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2007. http://amsdottorato.unibo.it/388/.

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ANAND, ABHINAV. "BIOMETRIC TECHNOLOGIES FOR AMBIENT INTELLIGENCE." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/547635.

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Il termine Ambient Intelligence (AmI) si riferisce a un ambiente in grado di riconoscere e rispondere alla presenza di diversi individui in modo trasparente, non intrusivo e spesso invisibile. In questo tipo di ambiente, le persone sono circondate da interfacce uomo macchina intuitive e integrate in oggetti di ogni tipo. Gli scopi dell’AmI sono quelli di fornire un supporto ai servizi efficiente e di facile utilizzo per accrescere le potenzialità degli individui e migliorare l’interazioni uomo-macchina. Le tecnologie di AmI possono essere impiegate in contesti come uffici (smart offices), case (smart homes), ospedali (smart hospitals) e città (smart cities). Negli scenari di AmI, i sistemi biometrici rappresentano tecnologie abilitanti al fine di progettare servizi personalizzati per individui e gruppi di persone. La biometria è la scienza che si occupa di stabilire l’identità di una persona o di una classe di persone in base agli attributi fisici o comportamentali dell’individuo. Le applicazioni tipiche dei sistemi biometrici includono: controlli di sicurezza, controllo delle frontiere, controllo fisico dell’accesso e autenticazione per dispositivi elettronici. Negli scenari basati su AmI, le tecnologie biometriche devono funzionare in condizioni non controllate e meno vincolate rispetto ai sistemi biometrici comunemente impiegati. Inoltre, in numerosi scenari applicativi, potrebbe essere necessario utilizzare tecniche in grado di funzionare in modo nascosto e non cooperativo. In questo tipo di applicazioni, i campioni biometrici spesso presentano una bassa qualità e i metodi di riconoscimento biometrici allo stato dell’arte potrebbero ottenere prestazioni non soddisfacenti. È possibile distinguere due modi per migliorare l’applicabilità e la diffusione delle tecnologie biometriche negli scenari basati su AmI. Il primo modo consiste nel progettare tecnologie biometriche innovative che siano in grado di funzionare in modo robusto con campioni acquisiti in condizioni non ideali e in presenza di rumore. Il secondo modo consiste nel progettare approcci biometrici multimodali innovativi, in grado di sfruttare a proprio vantaggi tutti i sensori posizionati in un ambiente generico, al fine di ottenere un’elevata accuratezza del riconoscimento ed effettuare autenticazioni continue o periodiche in modo non intrusivo. Il primo obiettivo di questa tesi è la progettazione di sistemi biometrici innovativi e scarsamente vincolati in grado di migliorare, rispetto allo stato dell’arte attuale, la qualità delle tecniche di interazione uomo-macchine in diversi scenari applicativi basati su AmI. Il secondo obiettivo riguarda la progettazione di approcci innovativi per migliorare l’applicabilità e l’integrazione di tecnologie biometriche eterogenee negli scenari che utilizzano AmI. In particolare, questa tesi considera le tecnologie biometriche basate su impronte digitali, volto, voce e sistemi multimodali. Questa tesi presenta le seguenti ricerche innovative: • un metodo per il riconoscimento del parlatore tramite la voce in applicazioni che usano AmI; • un metodo per la stima dell’età dell’individuo da campioni acquisiti in condizioni non-ideali nell’ambito di scenari basati su AmI; • un metodo per accrescere l’accuratezza del riconoscimento biometrico in modo protettivo della privacy e basato sulla normalizzazione degli score biometrici tramite l’analisi di gruppi di campioni simili tra loro; • un approccio per la fusione biometrica multimodale indipendente dalla tecnologia utilizzata, in grado di combinare tratti biometrici eterogenei in scenari basati su AmI; • un approccio per l’autenticazione continua multimodale in applicazioni che usano AmI. Le tecnologie biometriche innovative progettate e descritte in questa tesi sono state validate utilizzando diversi dataset biometrici (sia pubblici che acquisiti in laboratorio), i quali simulano le condizioni che si possono verificare in applicazioni di AmI. I risultati ottenuti hanno dimostrato la realizzabilità degli approcci studiati e hanno mostrato che i metodi progettati aumentano l’accuratezza, l’applicabilità e l’usabilità delle tecnologie biometriche rispetto allo stato dell’arte negli scenari basati su AmI.
Ambient Intelligence (AmI) refers to an environment capable of recognizing and responding to the presence of different individuals in a seamless, unobtrusive and often invisible way. In this environment, people are surrounded by intelligent intuitive interfaces that are embedded in all kinds of objects. The goals of AmI are to provide greater user-friendliness, more efficient services support, user-empowerment, and support for human interactions. Examples of AmI scenarios are smart cities, smart homes, smart offices, and smart hospitals. In AmI, biometric technologies represent enabling technologies to design personalized services for individuals or groups of people. Biometrics is the science of establishing the identity of an individual or a class of people based on the physical, or behavioral attributes of the person. Common applications include: security checks, border controls, access control to physical places, and authentication to electronic devices. In AmI, biometric technologies should work in uncontrolled and less-constrained conditions with respect to traditional biometric technologies. Furthermore, in many application scenarios, it could be required to adopt covert and non-cooperative technologies. In these non-ideal conditions, the biometric samples frequently present poor quality, and state-of-the-art biometric technologies can obtain unsatisfactory performance. There are two possible ways to improve the applicability and diffusion of biometric technologies in AmI. The first one consists in designing novel biometric technologies robust to samples acquire in noisy and non-ideal conditions. The second one consists in designing novel multimodal biometric approaches that are able to take advantage from all the sensors placed in a generic environment in order to achieve high recognition accuracy and to permit to perform continuous or periodic authentications in an unobtrusive manner. The first goal of this thesis is to design innovative less-constrained biometric systems, which are able to improve the quality of the human-machine interaction in different AmI environments with respect to the state-of-the-art technologies. The second goal is to design novel approaches to improve the applicability and integration of heterogeneous biometric systems in AmI. In particular, the thesis considers technologies based on fingerprint, face, voice, and multimodal biometrics. This thesis presents the following innovative research studies: • a method for text-independent speaker identification in AmI applications; • a method for age estimation from non-ideal samples acquired in AmI scenarios; • a privacy-compliant cohort normalization technique to increase the accuracy of already deployed biometric systems; • a technology-independent multimodal fusion approach to combine heterogeneous traits in AmI scenarios; • a multimodal continuous authentication approach for AmI applications. The designed novel biometric technologies have been tested on different biometric datasets (both public and collected in our laboratory) simulating the acquisitions performed in AmI applications. Results proved the feasibility of the studied approaches and shown that the studied methods effectively increased the accuracy, applicability, and usability of biometric technologies in AmI with respect to the state-of-the-art.

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Kodys, Martin. "Raisonnement sémantique pour une plateforme d’assistance intelligente orienté bien-être et santé numérique." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM033.

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Les objets connectés de la vie courante ont trouvé leur chemin dans notre quotidien. Connu sous le terme d'Internet des choses, une pluralité de technologies inspire une vaste variété des cas d'utilisation. Une des applications innovatrices est le concept et le développement de la maison intelligente. Actuellement, ce concept est en train de s'étendre vers l'extérieur ; il rend futés des véhicules, bâtiments et même des villes entières. De plus, la technologie devient aussi plus personnelle - comme le port des vêtements futés et d'autres appareils pour l'autosurveillance personnelle devient de plus en plus courant et populaire. Ce phénomène est souvent appelée le soi quantifié.Un cas particulier de l'environnement futé est l'assistance à l'autonomie à domicile (ambient assisted living) conçue pour améliorer la qualité de la vie quotidienne des personnes âgées. Un tel système informatique, omniprésent et discret, peut être porté dans d'autres domaines et tranches d'âge. Par exemple, le suivi des activités du quotidien peut aider jeune adultes à améliorer leur mode de vie. Tout le monde peut être encouragé à maintenir un mode de vie sain, à exercer une activité physique suffisante et prendre les décisions fondées quant à la mobilité. Ce sont les facteurs direct contribuant à la prévention des risques de santé, tel que les maladies métaboliques comme le diabète de type 2 ; et permettent un meilleur maîtrise des maladies respiratoires comme l'asthme.Dirigée par ces idées, cette thèse explore les possibilités d'une plate-forme web avec un raisonnement sémantique basé sur les règles. La thèse détaille le travail sur les améliorations techniques, avancements dans la reconnaissance d'activités, les extensions pour l'analyse des données et une application orientée mobilité.Suivant l'approche centrée utilisateur, un déploiement dans les conditions réelles est necessary. Deux cas d'utilisation sont abordés. Le premier est l'amélioration du système existant, consistant des capteurs et d'une passerelle tous placés dans le domicile de la personne âgée. Le deuxième cas est le déploiement d'une application pour téléphones portables pour l'assistance à la mobilité active. En collectant les donnés relevantes et actuelles, l'application affiche un niveau de recommandation personnalisée pour chaque type de mobilité. Ces recommandations sont basées sur l'appareil de soi quantifié qui incorpore les objectifs personnels, le profil et autres données librement accessible, tel que la météo ou la qualité d'air.Cette thèse décrit les sorties et les leçons tirées des déploiements de ces technologies. Cette thèse apporte une discussion et des analyses des résultats de ces déploiements
Connected objects of everyday living have made their way into our lives. Known as Internet of Things, the various technologies inspire a vast variety of applications. One of the pioneer applications is the concept and development of a smart home. This is now spreading outdoors; making vehicles, buildings, and even large cities smart. Moreover, the technology is getting more personal as well – as wearing smart clothes and other self-tracking devices become increasingly common and popular. This is often referred to as the quantified self.One particular case of a smart environment is ambient assisted living, which is designed to enhance elderly people’s day-to-day life. Such a ubiquitous and unobtrusive computer system can also be ported to other domains and age groups. For instance, the tracking of daily activities can also help younger adults to improve their lifestyle. Everyone can be encouraged to maintain a healthy lifestyle, perform sufficient physical activity, and make more informed decisions about their mobility. These are direct factors in preventing health risks, such as metabolic diseases like the type 2 diabetes, and allow a better control over respiratory diseases like the asthma.Driven by these ideas, this thesis explores the possibilities of a web-based platform with a semantic rule-based reasoning. The thesis details the work on technical improvements, enhancements in activity recognition, extensions for data analysis, and a mobility-oriented application.Following a user-centric approach, a real life deployment of the described technologies is necessary. Two use cases are examined. First, I enhanced and built upon a pre-existing system, which consists of sensors and a gateway placed into elderly participants' homes. The second use case is the deployment of a mobile phone application for active mobility assistance. Collecting relevant and timely data, the application then outputs a level of recommendation for every type of mobility. The recommendations are based on each user’s exercise tracking device, which incorporates their goals, their profiles, and other publicly available data sources such as weather and air quality.This thesis describes the outcomes and lessons learnt from these deployments. In addition, this thesis provides an in-depth discussion as well as analytical insights on the results of the deployments

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Hellenschmidt, Michael. "Realisierung der ambient intelligence Software-Infrastruktur und Entwicklungsumgebung für selbstorganisierende multimediale Ensembles in Ambient-intelligence-Umgebungen." Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/988827433/04.

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Zugl.: Darmstadt, Techn. Univ., Diss., 2007 u.d.T.: Hellenschmidt, Michael: Software-Infrastruktur und Entwicklungsumgebung für selbstorganisierende multimediale Ensembles in Ambient-Intelligence-Umgebungen
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Wang, Kevin I.-Kai. "Multi-agent based ambient intelligence platform." Thesis, University of Auckland, 2009. http://hdl.handle.net/2292/5212.

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The vision of Ambient Intelligence (AmI) can be realised through the integration of embedded technologies, distributed systems, middleware and human machine interfaces and many research efforts have been made to advance these technologies. However, the exclusiveness of these ambient intelligence technologies has reduced their practical values. In this thesis, a novel AmI platform is proposed to facilitate the integration and interoperability of various technologies in the process of developing AmI applications. The platform defines the overall software/hardware architecture and communication interfaces and provides a common base for development, operation and future adaptation of AmI applications. The proposed platform consists of four layers, the physical ubiquitous environment, middleware, multi-agent system (MAS) and application layer. The ubiquitous environment layer accommodates any type of embedded device network for interconnecting different sensors, actuators and computing devices. The middleware layer is built using an IP-based service discovery protocol, Universal Plug and Play (UPnP), which provides a unique communication interface for controlling and monitoring embedded devices. The MAS handles the core distributed and adaptive control functionality and communication with user interfaces. The application layer contains any type of user interface for different AmI applications. An XML-based content language is designed with an XML schema and seven XML messages. The content language standardises the way of interpreting contents of communication between different user interfaces and the MAS. Based on the proposed platform, a complete AmI application prototype called Distributed Embedded Intelligence Room (DEIR) has been implemented. Four different device networks, the SmartHouse network, IP network, Bluetooth and Zigbee network, have been integrated in DEIR to interconnect various embedded sensors and devices. The MAS is implemented using Java Agent DEvelopment framework (JADE). Four application specific agents, known as the UPnP control point agent, IP interface agent, fuzzy inference agent and decision tree agent, are designed and implemented. The UPnP control point agent provides MAS the ability to monitor and to control the underlying hardware devices through the UPnP middleware layer. The IP interface agent handles communication with user interfaces over socket connections. Fuzzy inference and decision tree agents are implemented to provide personalised learning and automated control capabilities. Three user interfaces, including a remote graphical user interface, a mobile PDA interface and a 3D virtual reality interface are implemented. Contents of communication between these user interfaces and the MAS are encoded using the proposed XML content language and transmitted over socket connections. The AmI application prototype, DEIR, has demonstrated the ability of integrating multiple device networks and multiple user interfaces, which is a vital feature for most AmI applications. Two case studies have been carried out to incorporate two adaptive learning and controlling algorithms, known as the adaptive online fuzzy inference system (AOFIS) and ID3 decision tree algorithm, in the MAS of DEIR. The results of case studies show that DEIR has the ability of incorporating multiple adaptive control algorithms as multiple agents. In addition, comparable or better offline learning accuracy and learning speed have been achieved by DEIR compared with other advanced adaptive control algorithms.
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Xu, Tao. "The context-aware middleware in ambient intelligence." Phd thesis, Ecole Centrale de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-01001647.

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Almost 20 years ago, Marc Weiser envisioned the prospect of computer in 21st century, and proposed the pioneering notion of ubiquitous computing. One of Weiser's primary ideas has recently evolved to a more general paradigm known as context awareness, becoming a central research theme in many other ubiquitous computing programs. From Active Badge considered as the first context-aware application, there are numerous attempts to build effective context-aware systems. However, how to acquire context, how to process context and how to create context-aware applications is still faced with enormous challenges in the both of research and practice. This dissertation investigates deeply some chosen key issues in context awareness and develops a context-aware middleware. The main research contributions are presented in three categories: a spatialtemporal context represent model, a context-aware middleware and an intelligence context inference engine. The spatial-temporal context representation model is proposed to organize context and relations for context-aware system. Ontology-based method is adopted to construct our model, supporting both knowledge sharing and reuse as well as logic inference. This model adopts two-layer hierarchy structure for different situation. The higher layer comes up with the generic common context, while the lower layer focuses on various specific situations. Differing from existing models, besides taking locational factors into account, it supports different historical context service depending on different context resource. These context histories may be used to predict and infer the context. A context-aware middleware is designed as a platform associated with context retrieval and context processing. It is organized in two layers: the low layer provides a solution to integrate sensors and actuators with a standardized data representation; the high layer: versatile context interpreter focuses on context processing, which is made up of four parts: Context Aggregator, Inference Engine, Context Knowledge Base, and Query Engine in charge of context inferences, expressive query, and persistent storage. This middleware provides an environment for rapid prototyping of context aware services in ambient intelligent. The intelligent inference engine is the central and intellectual component of context-aware middleware. We review all the methods on activity context recognition published in three premier conferences in past decade and conclude that activity context recognition is divided into three facets: basic activity inference, dynamic activity analysis and future activity recommendation. Then we propose an intelligent inference engine based on our context-aware middleware. Beside satisfying requirements of checking the context consistency, our inference engine integrates the three most popular methods on activity context recognition: Rules, Decision Tree, and Hide Markov Model. It provides a solution for all facets of activity context recognition based on our context-aware middleware. The individuals' information collecting from their social networks under permission are leveraged to train intelligent inference engine. We finally use two scenarios (applications) to explain the generic process to develop application via our middleware, and compare and analyze the main aspects of our middleware with other five representative context-aware applications. Our middleware profits good features from existing context-aware systems and improve intelligence via supporting activity context recognition. It provides an efficient platform for a rapid developing of new context-aware applications in ambient intelligence.

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Dourlens, Sébastien. "Multimodal interaction semantic architecture for ambient intelligence." Versailles-St Quentin en Yvelines, 2012. http://www.theses.fr/2012VERS0011.

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Il existe encore de nombreux domaines dans lesquels des moyens doivent être explorés pour améliorer l'interaction homme-système. Ces systèmes doivent avoir la capacité de tirer avantage de l'environnement pour améliorer l'interaction. Et ceci afin d'étendre les capacités du système (machine ou robot) dans le but de se rapprocher du langage naturel utilisé par les êtres humains. Nous proposons une méthodologie pour résoudre le problème d'interaction multimodale adaptée aux différents contextes en définissant et modélisant une architecture distribuée qui s'appuie sur les standards du W3C et des services Web (agents sémantiques et services d'entrée / sortie) qui travaillent dans un environnement d'intelligence ambiante. Cette architecture est réalisée en utilisant le modèle des systèmes multi-agents. Afin d'atteindre cet objectif, nous avons besoin de modéliser l'environnement en utilisant un langage de représentation des connaissances et de communication (EKRL, Ontologie). Le modèle de l'environnement obtenu est utilisé dans deux principaux processus d'inférence sémantique: la fusion et la fission des événements à différents niveaux d'abstraction. Ces opérations sont sensibles au contexte. Le système de fusion interprète, comprend l'environnement et détecte le scénario qui se passe. Le système de fission interprète le scénario, le divise en tâches élémentaires et exécute les tâches qui nécessitent la découverte, la sélection et la composition de services appropriés dans l'environnement pour répondre aux différents objectifs. L'adaptation au contexte de l’environnement est basée sur la technique d'apprentissage par renforcement multi-niveaux. L'architecture globale de fusion et fission est validée et développée dans notre framework (agents, services, concentrateurs EKRL) par l'analyse de différentes performances sur des cas d'utilisation tels que la surveillance et l'assistance dans les activités quotidiennes à la maison et en ville
There still exist many fields in which ways are to be explored to improve the human-system interaction. These systems must have the capability to take advantage of the environment in order to improve interaction. This extends the capabilities of system (machine or robot) to better reach natural language used by human beings. We propose a methodology to solve the multimodal interaction problem adapted to several contexts by defining and modelling a distributed architecture relying on W3C standards and web services (semantic agents and input/output services) working in ambient intelligence environment. This architecture is embedded in a multi-agent system modelling technique. In order to achieve this goal, we need to model the environment using a knowledge representation and communication language (EKRL, Ontology). The obtained semantic environment model is used in two main semantic inference processes: fusion and fission of events at different levels of abstraction. They are considered as two context-aware operations. The fusion operation interprets and understands the environment and detects the happening scenario. The multimodal fission operation interprets the scenario, divides it into elementary tasks, and executes these tasks which require the discovery, selection and composition of appropriate services in the environment to accomplish various aims. The adaptation to environmental context is based on multilevel reinforcement learning technique. The overall architecture of fusion and fission is validated under our framework (agents, services, EKRL concentrator), by developing different performance analysis on some use cases such as monitoring and assistance in daily activities at home and in the town

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Buoncompagni, Simone <1987&gt. "Computer Vision Techniques for Ambient Intelligence Applications." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7327/1/buoncompagni_simone_tesi.pdf.

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Ambient Intelligence (AmI) is a muldisciplinary area which refers to environments that are sensitive and responsive to the presence of people and objects. The rapid progress of technology and simultaneous reduction of hardware costs characterizing the recent years have enlarged the number of possible AmI applications, thus raising at the same time new research challenges. In particular, one important requirement in AmI is providing a proactive support to people in their everyday working and free-time activities. To this aim, Computer Vision represents a core research track since only through suitable vision devices and techniques it is possible to detect elements of interest and understand the occurring events. The goal of this thesis is presenting and demonstrating efficacy of novel machine vision research contributes for different AmI scenarios: object keypoints analysis for Augmented Reality purpose, segmentation of natural images for plant species recognition and heterogeneous people identification in unconstrained environments.

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Nulu, Sujatha. "A GENERIC MOBILE AGENT FRAMEWORK FOR AMBIENT INTELLIGENCE." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1796330261&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Cassens, Jörg. "Explanation Awareness and Ambient Intelligence as Social Technologies." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2122.

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This work focuses on the socio-technical aspects of artificial intelligence, namely how (specific types of) intelligent systems function in human workplace environments. The goal is first to get a better understanding of human needs and expectations when it comes to interaction with intelligent systems, and then to make use of the understanding gained in the process of designing and implementing such systems.

The work presented focusses on a specific problem in developing intelligent systems, namely how the artefacts to be developed can fit smoothly into existing socio-cultural settings. To achieve this, we make use of theories from the fields of organisational psychology, sociology, and linguistics. This is in line with approaches commonly found in AI. However, most of the existing work deals with individual aspects, like how to mimic the behaviour or emulate methods of reasoning found in humans, whereas our work centers around the social aspect. Therefore, we base our work on theories that have not yet gained much attention in intelligent systems design. To be able to make them fruitful for intelligent systems research and development, we have to adapt them to the specific settings, and we have to transform them to suit the practical problems at hand.

The specific theoretical frameworks we draw on are first and foremost activity theory and to a lesser degree semiotics. Activity theory builds on the works of Leont'ev. It is a descriptive tool to help understand the unity of consciousness and activity. Its focus lies on individual and collective work practise. One of its strengths, and the primary reason for its value in AI development, is the ability to identify the role of material artefacts in the work process. Halliday's systemic functional theory of language (SFL) is a social semiotic theory that sets out from the assumption that humans are social beings that are inclined to interact and that this interaction is inherently multimodal. We interact not just with each other, but with our own constructions and with our natural world. These are all different forms of interaction, but they are all sign processes.

Due to the obvious time and spatial constraints, we cannot address all of the challenges that we face when building intelligent artefacts. In reducing the scope of the thesis, we have focused on the problem of explanation, and here in particular the problem of explanation from a user perspective. By putting social theories to work in the field of artificial intelligence, we show that results from other fields can be beneficial in understanding what explanatory capabilities are needed for a given intelligent system, and to ascertain in which situations an explanation should be delivered. Besides lessons learned in knowledge based system development, the most important input comes from activity theory.

The second focus is the challenge of contextualisation. Here we show that work in other scientific fields can be put to use in the development of context aware or ambient intelligent systems. Again, we draw on results from activity theory and combine this with insights from semiotics.

Explanations are themselves contextual, so the third challenge is to explore the space spanned by the two dimensions ability to explain and contextualisation. Again, activity theory is beneficial in resolving this issue.

The different theoretical considerations have also led to some practical approaches. Working with activity theory helps to better understand what the relevant contextual aspects of a given application are and helps to develop models of context which are both grounded in the tradition of context aware systems design and are plausible from a cognitive point of view.

Insights from an analysis of research in the knowledge based system area and activity theory have further lead to the amendment of a toolbox for requirements engineering, so called problem frames. New problem frames that target explanation aware ambient intelligent systems are presented. This is supplemented with work looking at the design of an actual system after the requirements have been elicited and specified. Thus, the socio-technical perspective on explanations is coupled with work that addresses knowledge representation issues, namely how to model sufficient knowledge to be able to deliver explanations.

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Rodriguez, Victor Manuel Zamudio. "Understanding the preventing periodic behaviour in ambient intelligence." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499768.

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Herrmann, Klaus. "Self-organizing ambient intelligence principles, algorithms, and protocols." Saarbrücken VDM Verlag Dr. Müller, 2006. http://d-nb.info/988875128/04.

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Mabrouki, Olfa. "Semantic Framework for Managing Privacy Policies in Ambient Intelligence." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112319/document.

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L'objectif de ce travail de thèse est de proposer un canevas sémantique intégrant un méta-modèle et des outils de raisonnement permettant à tout concepteur de système ubiquitaire de mettre en oeuvre facilement des mécanismes de gestion des politiques de la vie privée. Le canevas proposé intègre une architecture middleware générique qui offre des composants pour définir, administrer et contrôler l'application des politiques de confidentialité. Notre approche proposée est hybride. Elle est fondée sur l’ingénierie dirigée par les modèles et sur un raisonnement à base d'ontologies et de règles d'inférence opérant selon l'hypothèse du monde clos. Le méta-modèle proposé est caractérisé par un niveau d'abstraction et d'expressivité élevé permettant de définir des politiques de gestion de la vie privée indépendamment du domaine d'application pouvant être adaptées à différents contextes. Il définit, aussi, un cadre conceptuel pour établir des modèles de règles génériques et décidables permettant de prendre des décisions de contrôle cohérentes pour la protection de la vie privée. Ces modèles de règles sont mis en oeuvre grâce au langage de règles SmartRules permettant de mettre en oeuvre un contrôle adaptatif. Ce dernier est basé sur un raisonnement non-monotone et une représentation des instances de concepts selon la supposition du nom unique. Nous avons validé le canevas proposé à travers un scénario typique mettant en oeuvre des services d'assistance ambiante sensibles à la vie privée de personne âgée
This thesis aims at proposing a semantic framework that integrates a meta-model and reasoning tools allowing any ubiquitous system designer to easily implement mechanisms to manage privacy policies. The proposed framework includes a generic middleware architecture that provides components to define, manage and monitor the implementation of privacy policies. Our approach is an hybrid one based on Model-Driven Engineering and a reasoning based on ontologies and inference rules operating on the assumption of the closed world. The proposed meta-model is characterized by a high level of abstraction and expressiveness to define privacy policies management regardless of the domain application and can be adapted to different contexts. It defines, also, a conceptual framework for generic decidable modelling rules to make consistent control decisions on user privacy. These model rules are implemented using the SmartRules language that could implement an adaptive control. The latter is based on a non-monotonic reasoning and representation of instances of concepts according to the unique name assumption. We have validated the proposed semantic framework through a typical scenario that implements support ambient intelligence privacy-aware services for elderly

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DROGHINI, DIEGO. "Ambient Intelligence: Computational Audio Processing For Human Fall Detection." Doctoral thesis, Università Politecnica delle Marche, 2019. http://hdl.handle.net/11566/263538.

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L’ Ambient Intelligence rappresenta la sfida del futuro. Per ottenere un ecosis- tema funzionante e calibrato in base alle esigenze dell’utente, necessario inte- grare numerosi sistemi, ciascuno dedicato a un compito specifico. Uno di questi sottosistemi il rilevamento della caduta umana. In questa tesi, il rilevamento delle cadute umane affrontato da una prospettiva audio. In questo lavoro stato presentato un set di dati denominato A3FALL, composto da una serie di diversi eventi audio relativi alla caduta di oggetti comuni e cadute umane, simulate e reali. In particolare, per tale scopo stato sviluppato uno speciale sensore acus- tico a pavimento (FAS) che stato utilizzato per registrare il set di dati insieme ad un array di microfoni. Sono stati proposti differenti approcci che lavorano con una diversa base di conoscenze in base al compito specifico: in primo lu- ogo sono stati descritti due approcci supervisionati che hanno evidenziato le peculiarit del rilevamento della caduta audio e hanno dimostrato l’efficacia del sensore proposto. Per via delle poche cadute umane reali a disposizione per lo sviluppo di tali sistemi, sono stati proposti approcci non supervisionati che non necessitano di esempi della classe target nella fase di apprendimento. stato di- mostrato che gli approcci non supervisionati hanno prestazioni migliori rispetto ai sistemi dello stato dell’arte, ma funzionano bene in scenari poco complessi. Infine, sono stati sviluppati e descritti metodi che funzionano in condizioni pi realistiche. Viene proposto un sistema in cui l’utente interviene correggendo il funzionamento del sistema per una notevole riduzione dei falsi allarmi. Poi viene proposto un approccio di apprendimento one-shot che, senza l’intervento dell’utente, pu ottenere risultati promettenti utilizzando solo alcuni esempi di caduta umana nella fase di addestramento. La tesi si conclude con una valu- tazione approfondita di un approccio basato su un Autoencoder siamese. stato dimostrato che questo approccio migliore di tutti i sistemi precedentemente proposti quando valutatti in scenari complessi.
At present, Ambient Intelligence represents the challenge of the future. To obtain an ecosystem that is fully functional and calibrated to the user need, numerous systems, each of them dedicated to a specific task, must be integrated. One of these sub-systems is the human fall detection. Both research community and governments gave particular attention to the human fall detection because the fall is the first cause of death for people over 65. In this thesis, the human fall detection is addressed from an audio perspective: a dataset named A3FALL, composed of a corpus of several audio fall events of every-day objects and both simulated and real human falls recorded in 3 different rooms, has been presented. In particular, a special floor acoustic sensor (FAS) has been developed from this purpose and used to record the dataset together with an array of a microphone array. Different approaches that work with a different knowledge base according to the specific task have been proposed: first, two supervised approaches have been described that have highlighted the peculiarities of the audio drop detection and demonstrated the effectiveness of the proposed sensor. The human falls hardly available for systems development, unsupervised systems have been proposed that do not need examples of the target class in the learning phase. It has been shown that unsupervised approaches have better performance than the art state systems, but they do work well in not very complex scenarios. Finally, methods that work under more realistic conditions have been developed and described. A system where the user intervenes by correcting the system’s operation for a considerable reduction of false alarms is proposed. Then a few-shot learning approach that without any user intervention can achieve promising results using only a few examples of human fall in the training phase has been presented. The thesis concludes with an extensive evaluation of a Siamese Convolutional Autoencoder based approach. It has been shown that this approach outperforms all the previously proposed systems when assessed in a complex scenario.

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Piotto, Nicola. "Trajectory Analysis for Event Detection in Ambient Intelligence Applications." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/368678.

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The automatic understanding of human activity is probably one of the most challenging problems for the scientific community. Several application domains would benefit of such an analysis, from context-aware computing, to area monitoring and surveillance, to assistive technologies for elderly or disabled, and more. In a broad sense, we can define the activity analysis as the problem of finding an explanation coherent with a set of observations. These observations are typically influenced by several factors from different disciplines, such as sociology or psychology, but also mathematics and physics, making the problem particularly hard. In the last years, also the computer vision community focused its attention on this area, producing the latest advances in the acquisition and understanding of human motion data from image sequences. Despite the increasing effort spent in this field, there still exists a consistent gap between the numerical low-level pixel information that can be observed and measured, and the high abstraction level of the semantic that describes a given activity. In other words, there exist a conceptual ambiguity between the image sequence observations and their possible interpretations. Although several factors are involved, the activity modeling and the comparison strategy play crucial roles. In this proposal, a correlation between activity and corresponding path has been assumed. In light of this, the work carried out tackles two strictly related issues: (i) obtaining a proper representation of human activity; (ii) define an effective tool for reliably measuring the similarity between activity instances. In particular, the object activity is modeled with a signature obtained through a symbolic abstraction of its spatio-temporal trace, allowing the application of particular high-level reasoning for computing the activity similarity. This representation is particularly effective since it provides a smart way to compensate the noise artifacts coming from low-level modules (i.e., tracking algorithms), allowing also the possibility of considering interesting properties, such as the invariance to shift, rotation, and scale factors. Since any complex task may be decomposed in a limited set of atomic units corresponding to elementary motion patterns, the key idea of this representation is to catch the object activities by suitably representing their trajectories through symbols. This syntactic activity description relies on the extraction and on the symbolic coding of meaningful samples of the path, while the similarity between trajectories is computed using the so-called approximate-matching, thus casting the trajectory comparison problem to a string matching one. Also another representation scheme has been adopted, coding the signature according some relevant spots in the environment: in this case, the structural pattern information is coded in ad-hoc Context-Free Grammars, and the matching problem is solved through the parsing of the incoming string according the defined rules.

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Piotto, Nicola. "Trajectory Analysis for Event Detection in Ambient Intelligence Applications." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/487/1/Piotto_PhD-Thesis_A5.pdf.

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The automatic understanding of human activity is probably one of the most challenging problems for the scientific community. Several application domains would benefit of such an analysis, from context-aware computing, to area monitoring and surveillance, to assistive technologies for elderly or disabled, and more. In a broad sense, we can define the activity analysis as the problem of finding an explanation coherent with a set of observations. These observations are typically influenced by several factors from different disciplines, such as sociology or psychology, but also mathematics and physics, making the problem particularly hard. In the last years, also the computer vision community focused its attention on this area, producing the latest advances in the acquisition and understanding of human motion data from image sequences. Despite the increasing effort spent in this field, there still exists a consistent gap between the numerical low-level pixel information that can be observed and measured, and the high abstraction level of the semantic that describes a given activity. In other words, there exist a conceptual ambiguity between the image sequence observations and their possible interpretations. Although several factors are involved, the activity modeling and the comparison strategy play crucial roles. In this proposal, a correlation between activity and corresponding path has been assumed. In light of this, the work carried out tackles two strictly related issues: (i) obtaining a proper representation of human activity; (ii) define an effective tool for reliably measuring the similarity between activity instances. In particular, the object activity is modeled with a signature obtained through a symbolic abstraction of its spatio-temporal trace, allowing the application of particular high-level reasoning for computing the activity similarity. This representation is particularly effective since it provides a smart way to compensate the noise artifacts coming from low-level modules (i.e., tracking algorithms), allowing also the possibility of considering interesting properties, such as the invariance to shift, rotation, and scale factors. Since any complex task may be decomposed in a limited set of atomic units corresponding to elementary motion patterns, the key idea of this representation is to catch the object activities by suitably representing their trajectories through symbols. This syntactic activity description relies on the extraction and on the symbolic coding of meaningful samples of the path, while the similarity between trajectories is computed using the so-called approximate-matching, thus casting the trajectory comparison problem to a string matching one. Also another representation scheme has been adopted, coding the signature according some relevant spots in the environment: in this case, the structural pattern information is coded in ad-hoc Context-Free Grammars, and the matching problem is solved through the parsing of the incoming string according the defined rules.

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Hoque, Tania Tanzin. "A context aware recommender system for tourism with ambient intelligence." Master's thesis, Universidade de Évora, 2020. http://hdl.handle.net/10174/27906.

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Recommender system (RS) holds a significant place in the area of the tourism sector. The major factor of trip planning is selecting relevant Points of Interest (PoI) from tourism domain. The RS system supposed to collect information from user behaviors, personality, preferences and other contextual information. This work is mainly focused on user’s personality, preferences and analyzing user psychological traits. The work is intended to improve the user profile modeling, exposing relationship between user personality and PoI categories and find the solution in constraint satisfaction programming (CSP). It is proposed the architecture according to ambient intelligence perspective to allow the best possible tourist place to the end-user. The key development of this RS is representing the model in CSP and optimizing the problem. We implemented our system in Minizinc solver with domain restrictions represented by user preferences. The CSP allowed user preferences to guide the system toward finding the optimal solutions; RESUMO O sistema de recomendação (RS) detém um lugar significativo na área do sector do turismo. O principal fator do planeamento de viagens é selecionar pontos de interesse relevantes (PoI) do domínio do turismo. O sistema de recomendação (SR) deve recolher informações de comportamentos, personalidade, preferências e outras informações contextuais do utilizador. Este trabalho centra-se principalmente na personalidade, preferências do utilizador e na análise de traços fisiológicos do utilizador. O trabalho tem como objetivo melhorar a modelação do perfil do utilizador, expondo a relação entre a personalidade deste e as categorias dos POI, assim como encontrar uma solução com programação por restrições (CSP). Propõe-se a arquitetura de acordo com a perspetiva do ambiente inteligente para conseguir o melhor lugar turístico possível para o utilizador final. A principal contribuição deste SR é representar o modelo como CSP e tratá-lo como problema de otimização. Implementámos o nosso sistema com o solucionador em Minizinc com restrições de domínio representadas pelas preferências dos utilizadores. O CSP permitiu que as preferências dos utilizadores guiassem o sistema para encontrar as soluções ideais.

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Ramoly, Nathan. "Contextual integration of heterogeneous data in an open and opportunistic smart environment : application to humanoid robots." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLL003/document.

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L'association de robots personnels et d’intelligences ambiantes est une nouvelle voie pour l’aide à domicile. Grâce aux appareils intelligents de l'environnement, les robots pourraient fournir un service de haute qualité. Cependant, des verrous existent pour la perception, la cognition et l’action.En effet, une telle association cause des problèmes de variétés, qualités et conflits, engendrant des données hétérogènes et incertaines. Cela complique la perception du contexte et la cognition, i.e. le raisonnement et la prise de décision. La connaissance du contexte est utilisée par le robot pour effectuer des actions. Cependant, il se peut qu’il échoue, à cause de changements de contexte ou par manque de connaissance. Ce qui annule ou retarde son plan. La littérature aborde ces sujets, mais n’offre aucune solution viable et complète. Face à ces verrous, nous avons proposé des contributions, autour à la fois du raisonnement et de l’apprentissage. Nous avons d’abord conçu un outil d'acquisition de contexte qui gère et modélise l’incertitude. Puis, nous avons proposé une technique de détection de situations anormales à partir de données incertaines. Ensuite, un planificateur dynamique, qui considère les changements de contexte, a été proposé. Enfin, nous avons développé une méthode d'apprentissage par renforcement et expérience pour éviter proactivement les échecs.Toutes nos contributions ont été implémentées et validées via simulation ou à l’aide d’un robot dans une plateforme d’espaces intelligents
Personal robots associated with ambient intelligence are an upcoming solution for domestic care. In fact, helped with devices dispatched in the environment, robots could provide a better care to users. However, such robots are encountering challenges of perception, cognition and action.In fact, such an association brings issues of variety, data quality and conflicts, leading to the heterogeneity and uncertainty of data. These are challenges for both perception, i.e. context acquisition, and cognition, i.e. reasoning and decision making. With the knowledge of the context, the robot can intervene through actions. However, it may encounter task failures due to a lack of knowledge or context changes. This causes the robot to cancel or delay its agenda. While the literature addresses those topics, it fails to provide complete solutions. In this thesis, we proposed contributions, exploring both reasoning and learning approaches, to cover the whole spectrum of problems. First, we designed novel context acquisition tool that supports and models uncertainty of data. Secondly, we proposed a cognition technique that detects anomalous situation over uncertain data and takes a decision in accordance. Then, we proposed a dynamic planner that takes into consideration the last context changes. Finally, we designed an experience-based reinforcement learning approach to proactively avoid failures.All our contributions were implemented and validated through simulations and/or with a small robot in a smart home platform

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Abid, Zied. "Gestion de la qualité de contexte pour l'intelligence ambiante." Thesis, Evry, Institut national des télécommunications, 2012. http://www.theses.fr/2012TELE0041/document.

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L'informatique sensible au contexte vise à réduire la quantité d'informations explicites qu'un utilisateur doit fournir pour que le système accomplisse la tâche souhaitée. Ceci est particulièrement vrai dans le domaine récent de l'intelligence ambiante où les objets de la vie courante deviennent capables de déclencher une action ou un échange spontané d'informations, sans interaction avec l'utilisateur. Les progrès techniques en matière de réseaux de communication sans fil, d'équipements mobiles individuels, de capteurs et de logiciels embarqués, rendent aujourd'hui possibles des services aux usagers dépendants du contexte, mais les applications concrètes demeurent encore très limitées. Les travaux existants dans la littérature décomposent la gestion de contexte en quatre fonctionnalités: la collecte, l'interprétation, la détection de situations et l'utilisation pour l'adaptation. L'élément discriminant des solutions existantes est la qualité des informations abstraites obtenues par inférence et devant caractériser les situations de l'utilisateur. Les limites de ces solutions sont le manque de composition aisée des informations de contexte, le passage à l'échelle, tant en termes de quantité d'informations de contexte que de nombre d'applications clientes, l'absence de garantie sur la cohérence et la qualité des informations de contexte, et le manque de solutions intergicielles permettant de libérer le concepteur d'applications des aspects liés à la gestion de contexte. Nous nous intéressons dans cette thèse à la gestion de la qualité de contexte (QoC) dans un environnement ambiant. Les problématiques de gestion de la qualité de contexte sont multiples: choisir la méthode adéquate pour la gestion du contexte, extraire la qualité associée au contexte, interpréter et analyser la qualité de contexte pour les applications sensibles au contexte. Nous proposons de répondre à ces problématiques en intégrant la qualité de contexte au sein de la plateforme de gestion de contexte COSMOS (http://picoforge.lntevrv.fr/proiects/svn/cosmos) de l'équipe MARGE (http://www-inf.itsudparis.eu/MARGE) de Télécom SudParis. Afin d'effectuer cette intégration, nous avons conçu des éléments spécifiques à la qualité de contexte et avons mis en place une gestion fine et efficiente de cette qualité en limitant le surcoût associé. Nous proposons également un processus de conception basé sur l'ingénierie dirigée par les modèles afin de générer les éléments requis à la gestion de la qualité de contexte. Nous avons validé nos contributions à l'aide de deux applications fonctionnant sur téléphone mobile : une application de "vente flash" dans un centre commercial et une application de détection de localisation sur un campus. Les tests de performances que nous avons effectués permettent de comparer les résultats avec et sans la prise en compte de la QoC et montrent le faible coût de la gestion de la qualité par rapport aux améliorations apportées aux applications sensibles au contexte
Context-aware computing aims to reduce the amount of explicit information required from a user for a system to perform a task. This is particularly true in the recent domain of ambient intelligence where everyday life objects are able to trigger an action or a spontaneous information exchange, without any interaction with the user. Technical advances in wireless communication, personal mobile devices, sensors and embedded software make context-aware services possible, but concrete applications are still very limited. The solutions proposed in the literature decompose context management into four functions: acquisition, interpretation, situation detection and application adaptation. The differentiating element in these proposals is the quality of the high-level context information obtained by inference and characterising the situation of the user. The limits of these solutions are the difficulty for composing context information scalability in terms of the quantity of context information and of the number of client applications, the absence of guarantee on the consistency of context information and the lack of middleware solutions able to free the designer of context-aware applications from the management of context data. In this thesis, we are interested in the management of the quality of context information (QoC) in an ambient environment. There are several key issues in QoC management: choosing the adequate method for context management, extracting the quality associated to the context, analysing and interpreting the quality of the context with regard to the requirements of context-aware applications. We propose to answer these questions by integrating QoC management into the COSMOS context management framework (http://picoforge.int-evry.fr/projects/svn/cosmos) developed by the MARGE team (http://www-inf.itsudparis.eu/MARGE) of Télécom SudParis.For this purpose, we have designed the necessary components dedicated to QoC management and we have implemented the mechanisms allowing a fine-grain manipulation of the QoC together with a limitation of the associated overhead. We also propose a design process based on model-driven engineering in order to automatically generate the elements responsible of QoC management. We validate our contributions through the development of two prototype applications running on mobile phones: a Flash sale offer application to be used in malls and a location detection application proposed to the students of a campus. The performance tests we have conducted allow to compare the results obtained with and without taking into account the QoC and show the low overhead associated to QoC manaqement with regard to the benefits brought to context-aware applications and services

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Alhamid, Mohammed F. "Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32052.

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Due to the rapid increase of social network resources and services, Internet users are now overwhelmed by the vast quantity of social media available. By utilizing the user’s context while consuming diverse multimedia contents, we can identify different personal preferences and settings. However, there is still a need to reinforce the recommendation process in a systematic way, with context-adaptive information. This thesis proposes a recommendation model, called HPEM, that establishes a bridge between the multimedia resources, user collaborative preferences, and the detected contextual information, including physiological parameters. The collection of contextual information and the delivery of the resulted recommendation is made possible by adapting the user’s environment using Ambient Intelligent (AmI) interfaces. Additionally, this thesis presents the potential of including a user’s biological signal and leveraging it within an adapted collaborative filtering algorithm in the recommendation process. First, the different versions of the proposed HPEM model utilize existing online social networks by incorporating social tags and rating information in ways that personalize the search for content in a particular detected context. By leveraging the social tagging, our proposed model computes the hidden preferences of users in certain contexts from other similar contexts, as well as the hidden assignment of contexts for items from other similar items. Second, we demonstrate the use of an optimization function to maximize the Mean Average Prevision (MAP) measure of the resulted recommendations. We demonstrate the feasibility of HPEM with two prototype applications that use contextual information for recommendations. Offline and online experiments have been conducted to measure the accuracy of delivering personalized recommendations, based on the user’s context; two real-world and one collected semi-synthetic datasets were used. Our evaluation results show a potential improvement to the quality of the recommendation when compared to state-of-the-art recommendation algorithms that consider contextual information. We also compare the proposed method to other algorithms, where user’s context is not used to personalize the recommendation results. Additionally, the results obtained demonstrate certain improvements on cold start situations, where relatively little information is known about a user or an item.

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44

Milosevic, Bojan <1983&gt. "Technologies for Ambient intelligence: from Smart Objects to Sensor Networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5838/1/milosevic_bojan_tesi.pdf.

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n the last few years, the vision of our connected and intelligent information society has evolved to embrace novel technological and research trends. The diffusion of ubiquitous mobile connectivity and advanced handheld portable devices, amplified the importance of the Internet as the communication backbone for the fruition of services and data. The diffusion of mobile and pervasive computing devices, featuring advanced sensing technologies and processing capabilities, triggered the adoption of innovative interaction paradigms: touch responsive surfaces, tangible interfaces and gesture or voice recognition are finally entering our homes and workplaces. We are experiencing the proliferation of smart objects and sensor networks, embedded in our daily living and interconnected through the Internet. This ubiquitous network of always available interconnected devices is enabling new applications and services, ranging from enhancements to home and office environments, to remote healthcare assistance and the birth of a smart environment. This work will present some evolutions in the hardware and software development of embedded systems and sensor networks. Different hardware solutions will be introduced, ranging from smart objects for interaction to advanced inertial sensor nodes for motion tracking, focusing on system-level design. They will be accompanied by the study of innovative data processing algorithms developed and optimized to run on-board of the embedded devices. Gesture recognition, orientation estimation and data reconstruction techniques for sensor networks will be introduced and implemented, with the goal to maximize the tradeoff between performance and energy efficiency. Experimental results will provide an evaluation of the accuracy of the presented methods and validate the efficiency of the proposed embedded systems.

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45

Milosevic, Bojan <1983&gt. "Technologies for Ambient intelligence: from Smart Objects to Sensor Networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5838/.

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n the last few years, the vision of our connected and intelligent information society has evolved to embrace novel technological and research trends. The diffusion of ubiquitous mobile connectivity and advanced handheld portable devices, amplified the importance of the Internet as the communication backbone for the fruition of services and data. The diffusion of mobile and pervasive computing devices, featuring advanced sensing technologies and processing capabilities, triggered the adoption of innovative interaction paradigms: touch responsive surfaces, tangible interfaces and gesture or voice recognition are finally entering our homes and workplaces. We are experiencing the proliferation of smart objects and sensor networks, embedded in our daily living and interconnected through the Internet. This ubiquitous network of always available interconnected devices is enabling new applications and services, ranging from enhancements to home and office environments, to remote healthcare assistance and the birth of a smart environment. This work will present some evolutions in the hardware and software development of embedded systems and sensor networks. Different hardware solutions will be introduced, ranging from smart objects for interaction to advanced inertial sensor nodes for motion tracking, focusing on system-level design. They will be accompanied by the study of innovative data processing algorithms developed and optimized to run on-board of the embedded devices. Gesture recognition, orientation estimation and data reconstruction techniques for sensor networks will be introduced and implemented, with the goal to maximize the tradeoff between performance and energy efficiency. Experimental results will provide an evaluation of the accuracy of the presented methods and validate the efficiency of the proposed embedded systems.

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46

PATTI, EDOARDO. "Software solutions for Energy Efficient Smart Environments." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2537896.

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47

Dubromelle, Yves. "Pilotage holonique et ambiant, via des technologies infotroniques." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4359.

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Les travaux présentés dans le cadre de cette thèse visent à explorer de nouvelles pistes d’amélioration de la flexibilité, de la sécurité et de la performance des systèmes de production en introduisant les technologies infotroniques dans leur système de pilotage. Cela s’inscrit dans la continuité des travaux sur le modèle PROSIS (Product, Resource, Order and Simulation Isoarchic System). La première piste concerne l’usage de la technologie RFID pour assurer l’intégrité du système d’information et de décision vis-à-vis de l’état matériel du système de production. Pour cela, un tag RFID est associé à la partie matérielle de chaque holon (M_holon), et permet d’assurer la synchronisation avec la partie informationnelle et décisionnelle associée (I_holon). La seconde piste gravite autour du concept d’intelligence ambiante. Les différents traitements de l’information à effectuer par les différents I_holons leurs sont proposés sous la forme de services disponibles en libre accès, en fonction de leurs besoins, par des unités informatiques de soutien. La dernière piste est relative à l’interconnexion entre les activités de production proprement dites et les fonctions support de transitique. Un système de transitique Montrac comprenant des navettes autonomes a été intégré au Holonic Manufacturing Execution System développé dans l’équipe, en utilisant les principes de PROSIS. Les démonstrateurs de ces 3 facettes d’un tel système de pilotage ont été implémentés et validés dans le cadre d'une plateforme de production. Cela a également permis de valider la performance de l’approche vis-à-vis de différents benchmarks issus de la littérature
The work done during this thesis aims to explore new ways to improve the manufacturing systems flexibility, safety and performances, introducing infotronic technologies into their control systems. This follows some previous work on the PROSIS (Product, Resource, Order and Simulation Isoarchic System) control model. The first way is about the use of RFID technology to ensure the integrity of the information and decision system, regarding the physical state of the manufacturing system. For that, a RFID tag is associated with the material part of each holon (M_holon), and this ensures the synchronisation wi the informational and decisional part (I_holon). The second way is the use of the ambiant intelligence concept. The I_holon has various information processing tasks to do during his lifetime. The tools to do these tasks are proposed to them in the form of services, freely available, and hosted by specialised support entities. The third way of improvement is related to the interconnexion of the actual product processing activities and the internal logistics functions. A Montrac transitic system, including autonomous shuttles, has been integrated in the Holonic Manufacturing Execution System developped during this thesis using the PROSIS principles. These ways of improvement has been implemented in demonstrators to validate their viability in a real small-size workshop. This has allows the comparison of the PROSIS approach with others, using the results of academic benchmarks

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Frozza, Rejane. "Simula : ambiente para desenvolvimento de sistemas multiagentes reativos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1997. http://hdl.handle.net/10183/17923.

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Sistema multiagente é um tema de estudo em IAD, no qual um conjunto de agentes interage em um ambiente comum. A IAD baseia-se no comportamento social de agentes (humanos e artificiais), enfatizando as ações e as interações dos mesmos. Esses agentes podem ser cognitivos ou reativos. Os sistemas multiagentes reativos têm sido usados em pesquisas e estudos ligados a campos importantes de aplicação, gerando o desenvolvimento de sistemas não apenas para a área acadêmica, mas também para atender às necessidades do mercado industrial. Com o objetivo de abranger um ramo de pesquisas em sistemas multiagentes, este trabalho propôs a definição e a implementação de um protótipo de um ambiente de software que possibilita o desenvolvimento de aplicações em sistemas multiagentes reativos. Este ambiente tem a finalidade de facilitar a criação de tais aplicações com o uso de agentes, atingindo um resultado satisfatório. O ambiente definido é o SIMULA, que possibilita ao usuário criar suas aplicações através de elementos de uma interface gráfica. O usuário, na interação com o ambiente, determina os agentes envolvidos no problema e como eles agirão no processo de resolução do mesmo. O usuário define a sua aplicação criando um modelo para ela. Para definir as características do ambiente SIMULA, foram estudados e analisados três modelos de sistemas multiagentes reativos, encontrados em [STE 90], [DEM 93] e [FER 91], e estabelecido um quadro comparativo dos mesmos, segundo alguns critérios determinados. Esses modelos permitem que se faça a modelagem de aplicações nas quais o processo de resolução dos problemas, representados por tais aplicações, parece se adequar às características dos agentes reativos. A validação do uso do ambiente SIMULA envolveu a modelagem de três aplicações: a atuação de robôs na busca de minerais, definido em [STE 90], o jogo PENGI, definido em [AGR 87] e [FER 91], e a atuação de parasitas no controle de pragas de plantações. Esta última sendo uma novidade para a resolução com agentes reativos.
Multiagent Systems is a subject of study in DAI (Distributed Artificial Intelligence) in which a group of agents interacts with the same tool . DAI is based on social behavior of agents (human and artificial ones) focus on actions and interactions of them . Those agents can be cognitive or reactive . Reactive Multiagent Systems have been used in research and studies linked to important fields of use that generates the development of systems not only for academic areas but also to meet the needs of industrial market. As we have the objective of ranging a research field of multiagent systems, this work comes up with a definition and implementation of a prototype of a software tool which enables the application development in reactive multiagent system . This tool has the purpose to ease the creation of such applications like the use of agents and consequently achieving a satisfactory result . The tool is called SIMULA and it enables the user to create his own applications through elements from a graphic interface . The user who interacts with the tool determines the agents involved in the problem and how they will act in the process of solving this matter . Applications are developed based in models created by the user. In order to characterize the tool SIMULA , three models of reactive multiagent systems found in [STE 90] , [DEM 93] and [FER 91] have been studied and analyzed. A comparative table has been made according to definite criteria. These models allow shaping the applications in which the process of problem solving represented by such applications seems adequate to the characteristics of reactive agents . Validation of use of SIMULA tool involved modeling of three applications : performance of robots in mineral prospection defined in [STE 90] , PENGI game defined in [AGR 87] and [FER 91] and perfomance of parasite in controlling crop plagues that is being a novelty.

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Machado, Davi Marcos. "A estruturação de comunidades e redes sociais em ambiente virtual." Pontifícia Universidade Católica de São Paulo, 2009. https://tede2.pucsp.br/handle/handle/18247.

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Made available in DSpace on 2016-04-29T14:23:52Z (GMT). No. of bitstreams: 1 Davi Marcos Machado.pdf: 448497 bytes, checksum: 9f7a19fb13d50b4a4a08e568c575dd89 (MD5) Previous issue date: 2009-05-26
Ending of century XX and mainly from the beginning of the XXI century, the popularization of the Internet access and the emergence of software which provide friendly environment for the inter-relationship of people in virtual space (MySpace, Orkut, Blogspot etc), has made the cyberspace to be occupied by a huge number of people with more diverse interests, which resulted in the appearance of virtual communities or social networks. These communities or networks are organized around several themes and interests. May simply be groups of adolescents who have fun to exchange views on some prominent personality in the media to communities that discuss issues such as education, philosophy, public health or groups that develop a project of great social or economic relevance. The objective of this research is to evaluate, through empirical analysis, based on the available literature, the feasibility of classifying the millions of virtual communities or social networks in just three major groups: virtual communities or social networks organized around projects, people and ideas. We believe that these three major groups are able to include all types of social groups in cyberspace, considering that each one has its peculiarities of organization and structure. "Project means a temporary business or a complex sequence of activities to provide a product. For people we considered the charismatic individual, able to attract other individuals to their environment, either by their capacity for leadership or the ability to provide interest information to a group of people. Ideas is meant a concept, a set of thoughts of an individual or a social group on any one topic, theory, point of view or opinion. The purpose of this classification (projects, people and ideas) is to identify the different forms of grouping, outlining the main features of each of these groups, the structure of the environment in which it is organized and dynamic. These settings can help people, institutions or companies who wish to use the cyberspace how environment of knowledge generation or development of activities or simply exchange ideas. From the characteristics of each type of community is possible to define the best structure and environment to be built, considering the interests and goals of those who structure the community or the network
No final do século XX e no início do século XXI, a popularização do acesso a Internet e o surgimento de softwares amigáveis e ambientes propícios à inter-relação de pessoas no espaço virtual (MySpace, Orkut, Blogspot etc) fez com que o ciberespaço passasse a ser povoado por um número imenso de pessoas com os mais diversos interesses, que resultou no surgimento de comunidades virtuais ou de redes sociais. Essas comunidades ou redes se organizam em torno dos mais diversos interesses. Podem ser grupos de adolescentes que se divertem ao trocar impressões sobre alguma personalidade em destaque na mídia até comunidades que debatem temas como educação, filosofia, saúde pública ou mesmo grupos que desenvolvem algum projeto de grande relevância social ou econômica. O objetivo desta pesquisa é avaliar a viabilidade de se classificar os milhões de comunidades virtuais ou redes sociais em apenas três grandes agrupamentos: comunidades ou redes organizadas em torno de projetos , de pessoas e de idéias . Acreditamos que esses três grandes grupos são capazes de comportar todos os tipos de agrupamentos sociais no ciberespaço, sendo que cada um deles possui suas peculiaridades de organização e estrutura. Entendemos por projeto um ação temporária que tempo por objetivo fornecer um produto singular. Por pessoas consideramos o individuo carismático, com capacidade de atração de outros indivíduos para seu entorno; e por idéias se entende um conceito, um conjunto de pensamentos ou concepções de um indivíduo ou de um grupo social sobre um tema qualquer. O objetivo de tal classificação (projetos, pessoas e idéias) é identificar as diferentes formas de agrupamento e apontar suas principais características. Tais definições podem contribuir com pessoas, instituições ou empresas que pretendam utilizar o ciberespaço como ambiente de geração de conhecimento ou de desenvolvimento de atividades ou simplesmente troca de idéias. A partir das características de cada tipo de comunidade é possível se definir qual a melhor estrutura, levando-se em conta o interesse e objetivo de quem estrutura a comunidade ou a rede

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Mohamed, Ahmed. "Fault-detection in Ambient Intelligence based on the modeling of physical effects." Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-00995066.

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This thesis takes place in the field of Ambient Intelligence (AmI). AmI Systems are interactive systems composed of many heterogeneous components. From a hardware perspective these components can be divided into two main classes: sensors, using which the system observes its surroundings, and actuators, through which the system acts upon its surroundings in order to execute specific tasks.From a functional point of view, the goal of AmI Systems is to activate some actuators, based on data provided by some sensors. However, sensors and actuators may suffer failures. Our motivation in this thesis is to equip ambient systems with self fault detection capabilities. One of the particularities of AmI systems is that instances of physical resources (mainly sensors and actuators) are not necessarily known at design time; instead they are dynamically discovered at run-time. In consequence, one could not apply classical control theory to pre-determine closed control loops using the available sensors. We propose an approach in which the fault detection and diagnosis in AmI systems is dynamically done at run-time, while decoupling actuators and sensors at design time. We introduce a Fault Detection and Diagnosis framework modeling the generic characteristics of actuators and sensors, and the physical effects that are expected on the physical environment when a given action is performed by the system's actuators. These effects are then used at run-time to link actuators (that produce them) with the corresponding sensors (that detect them). Most importantly the mathematical model describing each effect allows the calculation of the expected readings of sensors. Comparing the predicted values with the actual values provided by sensors allows us to achieve fault-detection.

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