Дисертації з теми "Usinage intelligent"
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1
Chouhad, Hassan. "Towards online metrology for proactive quality control in smart manufacturing." Thesis, Paris, HESAM, 2022. http://www.theses.fr/2022HESAE021.
Анотація:
Dans l’industrie de fabrication traditionnelle, la métrologie est un élément essentiel de sanction de la qualité en bout de la chaîne de production. L’innovant dans le concept de la fabrication intelligente conduit à un repositionnement de la métrologie qui devient proactive au cœur même de la production pour fabriquer dès le départ une première pièce conforme. L’objet de cette thèse est donc de proposer une approche méthodologique pour le développement d'un système proactif, augmenté par des modèles d’intelligence artificielle IA, de contrôle en usinage de la conformité d’un produit à un cahier des charges et de caractériser ses défauts. Pour cela, une première étude sur l’aspect de surface a été réalisée en recueillant des images à haute résolution de fils de cuivre revêtus et découpés pouvant présenter des défauts. Les images, prises par un système de vision par ordinateur basé sur l'imagerie confocale chromatique, ont été utilisées pour générer différents modèles d'intelligence artificielle. Ce traitement consiste à faire de la segmentation et de la classification des défauts observés. En comparant la précision et le temps de traitement des modèles d'IA, l'apprentissage par transfert utilisant le modèle de mobile-net a montré de meilleures performances. Afin d'élargir l'étude de l'évaluation de la qualité de surface, des mesures de profil de surface sur machine-outil ont été effectuées à l'aide de capteurs confocaux chromatiques sans contact. Deux approches ont été réalisées : i) le fraisage de l'aluminium sans signature d’usure d’outil de coupe et ii) le fraisage du titane en tenant compte de la signature de l'usure de l'outil de coupe. Dans les deux configurations de coupe, les paramètres d’usinage, les profils de rugosité de surface et les efforts d’enlèvement de matière ont été enregistrés pour construire une base de données pour l'entraînement des modèles de prédiction par apprentissage automatique. Les résultats ont montré que le modèle XGboost a présenté la meilleure performance de prédiction et ce pour les deux scénarios. En considérant le temps de coupe dans le fraisage du titane, le modèle de prévision de séries temporelles ARIMA a été appliqué pour suivre l'évolution de la rugosité en fonction de l'usure de l'outil. L’analyse moyenne mobile autorégressive intégrée a permis de suivre l’évolution de la rugosité en fonction de la signature d’usureIn the traditional manufacturing industry, metrology is an essential element in sanctioning quality at the end of the production line. The innovation brought by concept of smart manufacturing leads to a repositioning of metrology to be proactive at the heart of production by performing the so-called first-time-right manufacturing of parts. The goal of this thesis is therefore to propose a methodological approach for the development of a proactive system, enhanced by AI models, to control the conformity of a product to a specification during machining and to characterize its defects. For this purpose, a first study on the surface aspect was carried out by collecting high-resolution images of coated and cut copper wires that may present defects. The images, taken by a computer vision system based on chromatic confocal imaging, were used to generate different artificial intelligence models. These models can perform segmentation and classification of observed defects. When comparing the accuracy and processing time of the AI models, transfer learning using the mobile-net model showed better performance. To extend the study of surface quality assessment, surface profile measurements on machine tools were performed using non-contact chromatic confocal sensors. Two approaches were performed: i) milling aluminum without tool wear signature, and ii) milling titanium with tool wear signature. In both cutting configurations, machining parameters, surface roughness profiles, and cutting forces were measured to build a dataset for training the prediction models by machine learning. The results showed that the XGboost model presented the best prediction performance and for both scenarios i) and ii). By considering the cutting time in titanium milling, the autoregressive integrated moving average time series prediction model was applied to track the evolution of roughness with tool wear
2
Escriba, Christophe. "Conception, réalisation et caractérisation de capteurs infrarouges à thermopiles : application à la détection de présence passive dans l'habitat." Phd thesis, Université Paul Sabatier - Toulouse III, 2005. http://tel.archives-ouvertes.fr/tel-00088644.
Анотація:
A ce jour, les développements de systèmes liés à la sécurisation des biens et à la surveillance des personnes s'appuient le plus souvent sur l'usage de détecteurs commerciaux de type pyroélectriques mono-points, indiquant le passage d'une personne dans le champ. Ces détecteurs font apparaître deux limitations : l'impossibilité de détecter lorsque la personne à surveiller est immobile, et la nécessité dans certains cas, d'avoir des informations plus riches que la simple présence (direction des mouvements, estimation de la distance &). Notre travail de recherche se situe dans une perspective liée à la surveillance passive dans le domaine de l'habitat intelligent. Il vise le développement de capteurs infrarouges de nouvelles générations. Au terme d'une investigation sur les principaux matériaux permettant la détection infrarouge et compte tenu de la problématique et des spécifications que nous avons établies, le choix s'est porté sur une technologie thermoélectrique de type thermopile. Selon les recommandations générales concernant la conception "Top-down" des microsystèmes, nous avons fait un travail assez approfondi de modélisation analytique du système global de détection infrarouge avant d'engager les étapes de conception et de réalisation. A partir de cette démarche conceptuelle, plusieurs structures (au total 180) sous la forme de capteurs unitaires, matriciels et de véhicules tests ont été réalisées. Ce travail de recherche se termine par le développement d'un banc de mesures spécifique et la corrélation des caractérisations expérimentales avec le modèle élaboré. Les résultats obtenus montrent la validité des concepts mis en Suvre et permettent d'engager dès à présent le développement de détecteurs de présence statique.
3
Vigouroux, Jean-Louis. "Modélisation des connaissances pour l’optimisation des systèmes d’usinage intelligents." Dijon, 2008. http://www.theses.fr/2008DIJOS053.
Анотація:
La recherche sur les systèmes d'usinage intelligents (SUI) porte la promesse de rendre la production d'une pièce usinée adaptable rapidement au changement soudain des spécifications géométriques, sans repasser par une phase d'industrialisation. Nous proposons une architecture informatique pour le SUI qui contribue à rendre possible cette promesse, en utilisant une modélisation des connaissances basée sur les normes du domaine de l'usinage et de l'optimisation avec incertitudes. Tout d'abord un état de l'art est réalisé, avec le recensement des travaux précédents , la définition des concepts importants comme l'agilité des systèmes d'usinage et l'optimisation avec incertitudes, et l'étude des normes STEP et UML pour la modélisation des connaissances. Ensuite une architecture informatique est proposée, qui fait le lien entre un plan de fabrication, les données sur les moyens de fabrication et un problème d'optimisation, à l'aide d'un modèle de données de liaison. De plus, un algorithme évolutionnaire appelé Robust Evolutionary Algorithm (REA) est conçu et ajouté à l'architecture, pour la résolution des problèmes d'optimisation non linéaire avec incertitudes. L'architecture est ensuite appliquée à l'optimisation du plan de fabrication d'une pièce de tournage. Les limites des modèles de données du plan de fabrication et du problème d'optimisation conduisent à revoir l'architecture et ajouter deux modèles de données pour la liaison entre le plan de fabrication et le problème d'optimisation, System Operation simulation Model (SOM) et Optimization under Uncertainty Model (OUM). Le modèle SOM permet de représenter les propriétés opérationnelles d'un système d'usinage sous forme de noeuds, et le modèle OUM permet de représenter un problème d'optimisation non linéaire avec incertitudes. La nouvelle architecture contribue à l'implémentation d'un système d'usinage intelligent. Des études seront nécessaires pour capturer les relations de dépendance des modèles d'usinage expérimentaux à différentes propriétés du système d'usinage, avec des évolutions de l'architecture proposéeResearch on Intelligent machining systems has the potential to make production of machined parts easily adaptive to changes in the part geometry specification, and to skip the industrialization step. The work presented here fosters the realization of this potential, by using standard data models of the field and optimization under uncertainty. First a bibliography is made to keep track of previous efforts related to intelligent manufacturing systems, optimization under uncertainty, and manufacturing and optimization knowledge representation. Important concepts like Manufacturing system agility, and optimization under uncertainty were defined, and the standards STEP and UML for knowledge representation and system modeling were studied. Then an information system architecture is proposed, to link manufacturing knowledge and optimization problem knowledge, using a new data model. An evolutionary algorithm called Robust Evolutionary Algorithm (REA) is designed and added to the architecture for solving non linear optimization under uncertainty. The architecture is then applied to the process plan optimization of a turning part. Some drawbacks of the architecture are discovered during the implementation, thus leading to an evolution. Two new data models are introduced, the System Operation simulation Model (SOM) and the Optimization under Uncertainty Model (OUM). The SOM data model is a proposal for the representation of manufacturing system operational properties, and the OUM data model is a proposal for the representation of a non linear optimization problem with uncertainties. The second version of the architecture is a solid base for the software implementation of an intelligent machining system. Some further studies are necessary to capture of the dependency relations between experimental machining models and operational properties of a machining system
4
Bernardes, Vitor Giovani. "Urban environment perception and navigation using robotic vision : conception and implementation applied to automous vehicle." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2155/document.
Анотація:
Le développement de véhicules autonomes capables de se déplacer sur les routes urbaines peuvent fournir des avantages importants en matière de réduction des accidents, en augmentant le confort et aussi, permettant des réductions de coûts. Les véhicules Intelligents par exemple fondent souvent leurs décisions sur les observations obtenues à partir de différents capteurs tels que les LIDAR, les GPS et les Caméras. En fait, les capteurs de la caméra ont reçu grande attention en raison du fait de qu’ils ne sont pas cher, facile à utiliser et fournissent des données avec de riches informations. Les environnements urbains représentent des scénarios intéressant mais aussi très difficile dans ce contexte, où le tracé de la route peut être très complexe,la présence d’objets tels que des arbres, des vélos, des voitures peuvent générer des observations partielles et aussi ces observations sont souvent bruyants ou même manquant en raison de occlusions complètes. Donc, le processus de perception par nature doit être capable de traiter des incertitudes dans la connaissance du monde autour de la voiture. Tandis que la navigation routière et la conduite autonome en utilisant une connaissance préalable de l’environnement ont démontré avec succès, la compréhension et la navigation des scénarios généraux du environnement urbain avec peu de connaissances reste un problème non résolu. Dans cette thèse, on analyse ce problème de perception pour la conduite dans les milieux urbains basée sur la connaissance de l’environnement pour aussi prendre des décisions dans la navigation autonome. Il est conçu un système de perception robotique, qui permettre aux voitures de se conduire sur les routes, sans la nécessité d’adapter l’infrastructure, sans exiger l’apprentissage précédente de l’environnement, et en tenant en compte la présence d’objets dynamiques tels que les voitures.On propose un nouveau procédé basé sur l’apprentissage par la machine pour extraire le contexte sémantique en utilisant une paire d’images stéréo qui est fusionnée dans une grille d’occupation évidentielle pour modéliser les incertitudes d’un environnement urbain inconnu,en utilisant la théorie de Dempster-Shafer. Pour prendre des décisions dans la planification des chemins, il est appliqué l’approche de tentacule virtuel pour générer les possibles chemins à partir du centre de référence de la voiture et sur cette base, deux nouvelles stratégies sont proposées. Première, une nouvelle stratégie pour sélectionner le chemin correct pour mieux éviter les obstacles et de suivre la tâche locale dans le contexte de la navigation hybride, et seconde, un nouveau contrôle en boucle fermée basé sur l’odométrie visuelle et tentacule virtuel est modélisée pour l’exécution du suivi de chemin. Finalement, un système complet automobile intégrant les modules de perception, de planification et de contrôle sont mis en place et validé expérimentalement dans des situations réelles en utilisant une voiture autonome expérimentale, où les résultats montrent que l’approche développée effectue avec succès une navigation locale fiable basée sur des capteurs de la caméraThe development of autonomous vehicles capable of getting around on urban roads can provide important benefits in reducing accidents, in increasing life comfort and also in providing cost savings. Intelligent vehicles for example often base their decisions on observations obtained from various sensors such as LIDAR, GPS and Cameras. Actually, camera sensors have been receiving large attention due to they are cheap, easy to employ and provide rich data information. Inner-city environments represent an interesting but also very challenging scenario in this context,where the road layout may be very complex, the presence of objects such as trees, bicycles,cars might generate partial observations and also these observations are often noisy or even missing due to heavy occlusions. Thus, perception process by nature needs to be able to dea lwith uncertainties in the knowledge of the world around the car. While highway navigation and autonomous driving using a prior knowledge of the environment have been demonstrating successfully,understanding and navigating general inner-city scenarios with little prior knowledge remains an unsolved problem. In this thesis, this perception problem is analyzed for driving in the inner-city environments associated with the capacity to perform a safe displacement basedon decision-making process in autonomous navigation. It is designed a perception system that allows robotic-cars to drive autonomously on roads, with out the need to adapt the infrastructure,without requiring previous knowledge of the environment and considering the presenceof dynamic objects such as cars. It is proposed a novel method based on machine learning to extract the semantic context using a pair of stereo images, which is merged in an evidential grid to model the uncertainties of an unknown urban environment, applying the Dempster-Shafer theory. To make decisions in path-planning, it is applied the virtual tentacle approach to generate possible paths starting from ego-referenced car and based on it, two news strategies are proposed. First one, a new strategy to select the correct path to better avoid obstacles and tofollow the local task in the context of hybrid navigation, and second, a new closed loop control based on visual odometry and virtual tentacle is modeled to path-following execution. Finally, a complete automotive system integrating the perception, path-planning and control modules are implemented and experimentally validated in real situations using an experimental autonomous car, where the results show that the developed approach successfully performs a safe local navigation based on camera sensors
5
Babovic, Vladan. "Emergence, evolution, intelligence: hydroinformatics : a study of distributed and decentralised computing using intelligent agents /." Rotterdam [etc.] : Balkema, 1996. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=905410404X.
6
Hall, Douglas Lee. "A Comparative Analysis of Guided vs. Query-Based Intelligent Tutoring Systems (ITS) Using a Class-Entity-Relationship-Attribute (CERA) Knowledge Base." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc331475/.
Анотація:
One of the greatest problems facing researchers in the sub field of Artificial Intelligence known as Intelligent Tutoring Systems (ITS) is the selection of a knowledge base designs that will facilitate the modification of the knowledge base. The Class-Entity-Relationship-Attribute (CERA), proposed by R. P. Brazile, holds certain promise as a more generic knowledge base design framework upon which can be built robust and efficient ITS. This study has a twofold purpose. The first is to demonstrate that a CERA knowledge base can be constructed for an ITS on a subset of the domain of Cretaceous paleontology and function as the "expert module" of the ITS. The second is to test the validity of the ideas that students guided through a lesson learn more factual knowledge, while those who explore the knowledge base that underlies the lesson through query at their own pace will be able to formulate their own integrative knowledge from the knowledge gained in their explorations and spend more time on the system. This study concludes that a CERA-based system can be constructed as an effective teaching tool. However, while an ITS - treatment provides for statistically significant gains in achievement test scores, the type of treatment seems not to matter as much as time spent on task. This would seem to indicate that a query-based system which allows the user to progress at their own pace would be a better type of system for the presentation of material due to the greater amount of on-line computer time exhibited by the users.
7
Kostias, Aristotelis, and Georgios Tagkoulis. "Development of an Artificial Intelligent Software Agent using Artificial Intelligence and Machine Learning Techniques to play Backgammon Variants." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251923.
Анотація:
Artificial Intelligence has seen enormous progress in many disciplines in the recent years. Particularly, digitalized versions of board games require artificial intelligence application due to their complex decision-making environment. Game developers aim to create board game software agents which are intelligent, adaptive and responsive. However, the process of designing and developing such a software agent is far from straight forward due the nature and diversity of each game. The thesis examines and presents a detailed procedure of constructing a software agent for backgammon variants, using temporal difference, artificial neural networks and backpropagation. Different artificial intelligence and machine learning algorithms used in board games, are overviewed and presented. Finally, the thesis describes the development and implementation of a software agent for the backgammon variant called Swedish Tables and evaluates its performance.Artificiell intelligens har sett enorma framsteg inom många discipliner de senare åren. Speciellt, digitaliserade brädspel kräver implementering av Artificiell intelligens då deras beslutfattande logik är väldigt komplex. Dataspelutvecklarnas syfte och mål är att skapa programvaror som är intelligenta, adaptiva och lyhörda. Dock konstruktionsoch utvecklingsprocess för att kunna skapa en sådan mjukvara är långtifrån att vara faställd, mest på grund av diversitet av naturen av varje spel. Denna avhandlingen forskar och föreslår en detaljerad procedur för att bygga en "Software Agent" för olika slags Backagammon, genom att använda AI neurala nätvärk och back-propagation metoder. Olika artificiell intelligensoch maskininlärningsalgoritmer som används i brädspel forskas och presenteras. Slutligen denna avhandling beskriver implementeringen och utvecklingen av ett mjukvaru agent för en backgammonvariant, närmare bestämt av "Svenska Tabeller" samt utvärderar dess prestanda.
8
Enyedy, Albert J. "Robotic Construction Using Intelligent Scaffolding." Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-theses/1356.
Анотація:
Construction is a complex activity that requires the cooperation of multiple workers. Every year, construction activities cause injuries and casualties. To make construction safer, new solutions could be provided by robotics. Robots could be employed not only to replace human workers, but also to make construction in harsh environments safe and cost-effective, paving the way for enhanced underwater infrastructure, deeper underground mining, and planetary colonization. In this thesis, we focus on the topic of collective construction, which involves the cooperation of multiple robots, by presenting a collective robot construction method of our own. Collective construction can be a more viable option than employing individual, complex robots, by potentially allowing the effective realization of large structures, while offering resilience through redundancy, analogous to insect colonies. Our approach offers a novel solution in the design trade-off between choosing the number of robots involved vs. the complexity of the robots involved. On the one hand, capable and complex robots are expensive, limiting the cost effectiveness of realizing large swarms which provide redundancy and increase the system’s resilience to faults. On the other hand, simple and inexpensive robots can be manufactured in large numbers and offer high redundancy, at the cost of limited individual capa bilities and lower performance. We use two types of robots: intelligent scaffolding and worker robots. The intelligent scaffolding acts as regular scaffolding, allowing the worker robots to navigate the structure they assemble, while also guiding and monitoring the construction of the structure. The worker robots move and connect scaffolding and building material while only knowing the local commands necessary to complete their task. This approach is loosely inspired by termite mounds, in which termites use the process of stigmergy in which they mark construction pellets with pheromones to affect the progress of construction, while navigating the struc ture that they build. Thanks to intelligent scaffolding, construction robots have a simple design that allows minimalist onboard computation and communication equipment. In this thesis, we produced a minimum viable prototype demonstrating this concept. Intelligent scaffolding is realized through smart blocks that can be laid and connected to each other. The smart blocks are capable of simple computation and communication once laid. The construction robot uses local navigation methods by line-following across the scaffolding and building blocks of the system. The blocks and construction robot both have a modular design, simplifying the process of manufacturing and repairs while maintaining a low cost. The robot and blocks use magnets to increase the margin of error during block manipulation and allow for the assembly and removal of scaffolding as well as its reuse between build sites. To communicate with the robot, the intelligent scaffolding blocks send local IR signals, similar to TV remote signals, when the robot is on top of them, minimizing the risk of global interference and keeping the system portable. To monitor the connectivity of the system throughout the life cycle of the structure, electrical connections run through each of the blocks, which indicate the status of the structure and can be used to diagnose the location of breaks in the structure for maintenance.
9
Hiesel, Jeanne C. "An approach to the analysis and design of an intelligent tutoring systems using an object-oriented methodology /." Online version of thesis, 1993. http://hdl.handle.net/1850/11716.
10
Artun, F. Emre. "Reservoir characterization using intelligent seismic inversion." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4185.
Анотація:
Thesis (M.S.)--West Virginia University, 2005.Title from document title page. Document formatted into pages; contains xii, 82 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 80-82).
11
Robinson, Martin H. "Intelligent information retrieval using web communities." Thesis, University of Ulster, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424555.
12
Ceylan, Hakan. "Using Reinforcement Learning in Partial Order Plan Space." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5232/.
Анотація:
Partial order planning is an important approach that solves planning problems without completely specifying the orderings between the actions in the plan. This property provides greater flexibility in executing plans; hence making the partial order planners a preferred choice over other planning methodologies. However, in order to find partially ordered plans, partial order planners perform a search in plan space rather than in space of world states and an uninformed search in plan space leads to poor efficiency. In this thesis, I discuss applying a reinforcement learning method, called First-visit Monte Carlo method, to partial order planning in order to design agents which do not need any training data or heuristics but are still able to make informed decisions in plan space based on experience. Communicating effectively with the agent is crucial in reinforcement learning. I address how this task was accomplished in plan space and the results from an evaluation of a blocks world test bed.
13
Hanumantha, Rao Karthik. "Dynamic configuration management using mobile intelligent agents." Thesis, Wichita State University, 2009. http://hdl.handle.net/10057/2430.
Анотація:
With the increasing complexity of Aircraft Data Network the need for configuration
management has become a necessity as the tolerance level is absolutely minimal. It is also
known that most of the network faults are due to invalid configurations on the network devices.
As fault detection plays a vital role in detecting invalid configurations, configuration
management forms its basis.
The aim of network configuration management is to supervise the network information so
that the changes on networks can be tracked and managed. Also the topology of network can be
better understood with each device’s configured parameters (interface settings, routing protocols
etc).
With the existing web based framework for Aircraft Data Network, we could use it for
configuration management by adding a few more modules. The reason for using web based is
that it can be controlled remotely and its ease of use. And also our web based architecture uses
secure protocols and a centralized database. Mobile agents are used to carry the necessary data to
configure the nodes in the network. The suggested framework would reduce the complexity of
network configuration as well as improve the performance with reduced network time-delays and
information bottlenecks.Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering
14
Miller, Paul Sheridan Mikler Armin. "Automated syndromic surveillance using intelligent mobile agents." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-5141.
15
Schofield, Damian. "Surface mine design using intelligent computer techniques." Thesis, University of Nottingham, 1992. http://eprints.nottingham.ac.uk/13113/.
Анотація:
Surface mine planning involves the results of algorithmic numerical calculations being used by engineers to make informed decisions relating to the design. The Department of Mining Engineering at the Unversity of Nottingham has in the past been involved in developing modular algorithmic packages. The emphasis of the computer research has now altered. Smaller specialised systems are now being developed to cover individual aspects of the design process. Artificial intelligence techniques are being introduced into the mining environment to solve the planning problems often associated with the large amounts of uncertain information needed by the engineer. This thesis is concerned with the development of MINDER, a decision support system capable of assisting the mine planner in the complex task of optimum surface mining equipment selection. An expert system shell has been used to create a series of individual application modules, each containing a multi-level knowledge base structure. An information handling system has been developed which is capable of storing consultation information and transfering it between knowledge bases and between application modules. Once an effective method of information handling had been achieved the flow of control between the system knowledge bases was rapid and followed complex inferencing routes. Most of the commercially available packages mathematically model a deposit, calculate volumes and simulate operations. One of the aims of the MINDER system was to integrate with other software, for example MINDER is capable of reading volumetric and material information from Surpac mine planning software. Geological data and manufacturer’s equipment specifications are stored in DbaseIV databases. The expert system is capable of writing macros based on the consultation and performing complex relation operations involved in the elimination and ranking of equipment. In a similar manner macros are written to control the simulation package GPSS which used to simulate operations using the selected equipment. A range of ‘in-house’ Pascal software is used for numerical calculations and matrix manipulation, an example of this is the fuzzy logic software used to handle uncertain information. Another aspect of the project is an investigation into the use of machine learning techniques in the field of equipment selection. Knowledge induction software has been used to induce new rules and check those produced in the MINDER system. Various experiments have been carried out using neural network software to produce equipment selection models. Training data taken from the mining industry was used on both these systems and the results were tested against MINDER consultation results.
16
Kordi, Kamran. "Intelligent character recognition using hidden Markov models." Thesis, Loughborough University, 1990. https://dspace.lboro.ac.uk/2134/13786.
Анотація:
Recognition of printed and hand printed characters has received much attention over the past decade as the need for automated 'document entry' systems assumes a commanding role in office automation. Although, present Optical Character Recognition(OCR) systems have reached a high degree of sophistication as compared to early systems, the design of a robust system which can separate text from images accurately and cope reliably with noisy input and frequent change of font is a formidable task. In this thesis, a novel method of character recognition based on Hidden Markov Modelling (HMM) is initially described. The scheme first describes a training set of characters by their outer contours using Freeman codes; next, the HMM method is applied to capture topological variation of the characters automatically, by looking at typical samples of the different characters. Fonts of similar topology can also be incorporated in one hidden Markov model. Once the model of a character in upright position is derived, the character can be recognized, even, when it has been rotated by multiples of 90 degrees. This technique is further extended to combine structural analysis/description of characters with hidden Markov modelling. In this scheme, a character is first skeletonized and then split to primitives; each primitive is described by hidden Markov models while its Corresponding position with respect to nodes(junctions) where the primitives meet, are recorded. This scheme is virtually font and size independent. A new document classification algorithm based on Fuzzy theory is also proposed which provides an indication of a document's contents in terms of 'text' and 'nontext' portions.
17
Palmer, Alexander S. "Adaptive image restoration algorithms using intelligent techniques." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405233.
18
Drum, David K. "Counteracting traffic congestion using intelligent driver feedback." Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10180875.
Анотація:
Traffic congestion is a daily occurrence in urban highway networks worldwide. It is not possible, however, for society to build its way out of congestion; rather, smarter roads and vehicles are needed. While the development of a smarter transportation system is underway, full implementation is years or decades from now. Yet, some of the sensing technology needed for smarter vehicles is already widely deployed in the form of smart phones. This thesis develops a novel method for recognizing traffic congestion using an artificially intelligent heuristic that could be implemented in a smart phone application or embedded system. Its goal is to provide intelligent feedback to a driver or autonomous vehicle control system to counteract stop-and-go traffic, a defining feature of urban highway congestion. Evaluation of the method indicates that a specific condition during stop-and-go traffic can be recognized accurately. A driver or control system acting upon feedback provided by the artificially intelligent system can improve traffic flow on the roadway by 1% to 3.5% over the course of the test duration.
19
Madkour, A. A. M., M. Alamgir Hossain, Keshav P. Dahal, and H. Yu. "Real-time system identification using intelligent algorithms." IEEE, 2004. http://hdl.handle.net/10454/2471.
Анотація:
This research presents an investigation into
the development of real time system identification using
intelligent algorithms. A simulation platform of a flexible
beam vibration using finite difference (FD) method is
used to demonstrate the real time capabilities of the
identification algorithms. A number of approaches and
algorithms for on line system identifications are explored
and evaluated to demonstrate the merits of the algorithms
for real time implementation. These approaches include
identification using (a) traditional recursive least square
(RLS) filter, (b) Genetic Algorithms (GAs) and (c)
adaptive Neuro_Fuzzy (ANFIS) model. The above
algorithms are used to estimate a linear discrete second
order model for the flexible beam vibration. The model is
implemented, tested and validated to evaluate and
demonstrate the merits of the algorithms for real time
system identification. Finally, a comparative performance
of error convergence and real time computational
complexity of the algorithms is presented and discussed
through a set of experiments.
20
Johns, Rasmus Johns. "Intelligent Formation Control using Deep Reinforcement Learning." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152687.
Анотація:
In this thesis, deep reinforcement learning is applied to the problem of formation control to enhance performance. The current state-of-the-art formation control algorithms are often not adaptive and require a high degree of expertise to tune. By introducing reinforcement learning in combination with a behavior-based formation control algorithm, simply tuning a reward function can change the entire dynamics of a group. In the experiments, a group of three agents moved to a goal which had its direct path blocked by obstacles. The degree of randomness in the environment varied: in some experiments, the obstacle positions and agent start positions were fixed between episodes, whereas in others they were completely random. The greatest improvements were seen in environments which did not change between episodes; in these experiments, agents could more than double their performance with regards to the reward. These results could be applicable to both simulated agents and physical agents operating in static areas, such as farms or warehouses. By adjusting the reward function, agents could improve the speed with which they approach a goal, obstacle avoidance, or a combination of the two. Two different and popular reinforcement algorithms were used in this work: Deep Double Q-Networks (DDQN) and Proximal Policy Optimization (PPO). Both algorithms showed similar success.
21
Hedlund, Richard, and Niklas Timarson. "Intelligent Wind Turbine Using Fuzzy PID Control." Thesis, KTH, Mekatronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218276.
Анотація:
This thesis demonstrates how small wind turbines can contributeto a greener planet by using wind energy to generateelectrical power. It compares the conventional PIDcontroller with the Fuzzy PID controller, implemented ina small wind turbine that was constructed using variousmachines. The concept of changing the gain parameters of the PIDcontroller with fuzzy logic, depending on the wind directionfor greater power generation, is explained and tested. This,with usage of a DC-motor that gets an output signal fromthe system which reads input values from an encoder anda wind vane. The construction included a powertrain inwhich a transmission, roller bearings and shafts were implementedin the yaw mechanism. The tests resulted in showing that the Fuzzy PID controllerperformed better, minimizing the error, when theerror between the wind turbine and the wind itself, wassmall. The power generation was also increased when utilizingthe Fuzzy PID controller. However, the PID controllerperformed similar to the Fuzzy PID controller whenexposed to larger errors.Det här arbetet visar hur små vindkraftverk kan bidra tillen grönare planet genom att omvandla vindenergi till elektriskenergi. Det beskriver jämförelsen mellan den vanligtförekommande PID regulatorn och den suddiga PID regulatorn,implementerad i ett litet vindkraftverk som konstruerades med hjälp av flertalet maskiner. Konceptet att ändra på parametrarna i PID regulatorn med hjälp av suddig logik, beroende på vindriktningen, förklaras och testas med syfte att generera energi. Dettamed hjälp av en DC-motor som får utsignaler från systemet som läser insignaler från en encoder och en vindflöjt. Konstruktionen av rotatonsmekanismen innehöll implementation av en växel, kullager och axlar. Testresultaten visade att den suddiga PID regleringenvar bättre på att minimera felet, när felet mellan vindkraftverket och vinden var litet. Även vid generering av energi,visade det sig att den suddiga PID regleringen presterade bättre. Likväl presterade PID regulatorn på samma nivå som den suddiga, när felet var större.
22
He, Shengyang. "Modeling power system load using intelligent methods." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/12036.
Анотація:
Master of ScienceDepartment of Electrical Engineering
Shelli K. Starrett
Modern power systems are integrated, complex, dynamic systems. Due to the complexity, power system operation and control need to be analyzed using numerical simulation. The load model is one of the least known models among the many components in the power system operation. The two different load models are the static and dynamic models. The ZIP load model has been extensively studied. This has widely applied to composite load models that could maintain constant impedance, constant current, and/or constant power. In this work, various Neural Networks algorithms and fuzzy logic have been used to obtain these ZIP load model coefficients for determining the percentage of constant impedance, current, or power for the various load buses. The inputs are a combination of voltage, voltage change, and power change, or voltage and power, and the outputs consist of the ZIP load model coefficients for determining the type and the percentage of load at the bus. The trained model is used to predict the type and percentage of constant load at other buses using simulated transient data from the 16-generator system. A small study was also done using a dynamic induction machine model in addition to the ZIP load model. As expected, the results show that the dynamic model is more difficult to determine than the static model.
23
Miller, Paul. "Automated Syndromic Surveillance using Intelligent Mobile Agents." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc5141/.
Анотація:
Current syndromic surveillance systems utilize centralized databases that are neither scalable in storage space nor in computing power. Such systems are limited in the amount of syndromic data that may be collected and analyzed for the early detection of infectious disease outbreaks. However, with the increased prevalence of international travel, public health monitoring must extend beyond the borders of municipalities or states which will require the ability to store vasts amount of data and significant computing power for analyzing the data. Intelligent mobile agents may be used to create a distributed surveillance system that will utilize the hard drives and computer processing unit (CPU) power of the hosts on the agent network where the syndromic information is located. This thesis proposes the design of a mobile agent-based syndromic surveillance system and an agent decision model for outbreak detection. Simulation results indicate that mobile agents are capable of detecting an outbreak that occurs at all hosts the agent is monitoring. Further study of agent decision models is required to account for localized epidemics and variable agent movement rates.
24
Amini, Reza. "Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/1765.
Анотація:
There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness.
Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge.
Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary.
Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems.
To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].
25
Lim, B. S. "Feasibility study of integrating workpiece design to tool engineering using artificial intelligence and CAD principles." Thesis, University of Nottingham, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376630.
26
Theramongkol, Phunsak. "Intelligent ozone-level forecasting using artificial neural network." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ54752.pdf.
27
Tsang, Yiu-ming. "Intelligent polishing using fuzzy logic and genetic algorithm." View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37206400.
28
Dobrynin, Mikhail. "Using intelligent agents for complex software systems maintenance." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174588678.
29
Filipe, Joaquim Belo Lopes. "Normative organisational modelling using intelligent multi-agent systems." Thesis, Staffordshire University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327505.
30
Gani, Abdullah Bin. "Intelligent Network Bandwidth Control Using Reinforcement Learning Approach." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521998.
31
Edmiston, Marcia R., Darrell R. Gregg, and David G. Wirth. "Decision support for reconnaissance using intelligent software agents." Thesis, Monterey, California. Naval Postgraduate School, 1998. http://hdl.handle.net/10945/8192.
Анотація:
Approved for public release; distribution is unlimitedResearch in reconnaissance traditionally focuses on data detection and discrimination methods. Less emphasis is placed on transforming the collected data into useful information and presenting it to key command and control nodes. Information not presented in a timely manner is excluded from the decision process. This thesis proposes a conceptual model of intelligent software agents to support the human decision process and reconnaissance- related tasks. The Mobile Agent Reconnaissance Kit (MARK) suggests a hierarchy of software agents to facilitate data integration and coordination in a network- centric multisensor environment. The model uses static and mobile agents to collect data from dispersed, heterogeneous data sources, process and fuse the data, and present the resultant information to the user in an HTML file. The authors explore applications of MARK in terms of the military Intelligence Cycle, the Joint Director of Laboratories (JDL) Technical Panel for C3I Data Fusion Model, and the Joint Operations Planning and Evaluation System (JOPES) crisis Action Planning
32
Tsang, Yiu-ming, and 曾耀明. "Intelligent polishing using fuzzy logic and genetic algorithm." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38589291.
33
Karim, Kh Nafis. "INTELLIGENT SYSTEM FOR MONITORING PHYSIOLOGICAL PARAMETERS USING CAMERA." Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-29834.
Анотація:
Measuring physiological parameters or vital sign using camera has become popular in recent years. Contact-less monitoring and extraction of vital signs can be important source of information in situations like medical care system and safety control system. This paper presents the implementation of real-time, non-contact method for extraction of vital signs, heart rate in this case. A better face tracking method is used for efficient face detection. This study extends some of the previous works done and have a comparison study with several methods. The developed system used filtering with window over the green channel of the signal and then Converted to frequency domain to analyze the signal to detect heart rate. The developed system achieved high correlation and showed small error while referencing with actual heart signal from ECG. This method delivers better result in better light condition but gives fairly good result on lower light as well.
34
Escamilla-Ambrosio, Ponciano Jorge. "Intelligent adaptive multisensor data fusion using hybrid architectures." Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398626.
35
De, Yuan Wei. "Application of intelligent monitoring using chromatic signal processing." Thesis, University of Liverpool, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400122.
36
El-Zein, Ahmad A. "Sparse matrix computations using the intelligent file store." Thesis, University of Essex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305948.
37
Sivagnanasundaram, Suthaharan. "GSM mobility management using an intelligent network platform." Thesis, Queen Mary, University of London, 1997. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3820.
38
Bish, Nigel B. "Dielectric condition monitoring using intelligent partial discharge analysis." Thesis, University of Brighton, 2003. https://research.brighton.ac.uk/en/studentTheses/5dfeb20c-6066-41b8-ba10-59ae9a7877af.
39
Aburrous, Maher R., M. Alamgir Hossain, F. Thabatah, and Keshav P. Dahal. "Intelligent phishing website detection system using fuzzy techniques." IEEE, 2008. http://hdl.handle.net/10454/2640.
Анотація:
Phishing websites are forged web pages that are created by malicious people to mimic web pages of real websites and it attempts to defraud people of their personal information.
Detecting and identifying Phishing websites is really a complex and dynamic problem involving many factors and criteria, and
because of the subjective considerations and the ambiguities involved in the detection, Fuzzy Logic model can be an effective
tool in assessing and identifying phishing websites than any other
traditional tool since it offers a more natural way of dealing with
quality factors rather than exact values. In this paper, we present
novel approach to overcome the `fuzziness¿ in traditional website phishing risk assessment and propose an intelligent resilient and effective model for detecting phishing websites. The proposed
model is based on FL operators which is used to characterize the
website phishing factors and indicators as fuzzy variables and
produces six measures and criteria¿s of website phishing attack
dimensions with a layer structure. Our experimental results
showed the significance and importance of the phishing website
criteria (URL & Domain Identity) represented by layer one, and
the variety influence of the phishing characteristic layers on the
final phishing website rate.
40
Dobrynin, Mikhail P. "Using intelligent agents for complex software systems maintenance." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1174588678.
41
Yang, Li. "Building an Intelligent Filtering System Using Idea Indexing." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4275/.
Анотація:
The widely used vector model maintains its popularity because of its simplicity, fast speed, and the appeal of using spatial proximity for semantic proximity. However, this model faces a disadvantage that is associated with the vagueness from keywords overlapping. Efforts have been made to improve the vector model. The research on improving document representation has been focused on four areas, namely, statistical co-occurrence of related items, forming term phrases, grouping of related words, and representing the content of documents. In this thesis, we propose the idea-indexing model to improve document representation for the filtering task in IR. The idea-indexing model matches document terms with the ideas they express and indexes the document with these ideas. This indexing scheme represents the document with its semantics instead of sets of independent terms. We show in this thesis that indexing with ideas leads to better performance.
42
Rashid, Zahin Azher. "Intelligent Scheduling for Yarn : Using Online Machine Learning." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219607.
Анотація:
Many big companies who provide cloud infrastructure, platforms and services have to face a lot of challenges in dealing with big data and execution of thousands of tasks that run on servers. Thousands of servers running in cloud consume a large amount of energy which increases operating cost to a great extent for companies hosting infrastructures and platforms as services. Hundreds of thousands of applications are submitted every day on these servers by users. On submission of applications, somehow the total resources are not properly utilized which cause the overall operating cost to increase. A distribution of Apache Hadoop called HOPS is developed at SICS Swedish ICT and efforts are made to make it a better platform for institutions and companies. Yarn is used as the resource management and scheduling framework which is responsible for allocating resources such as memory and CPU cores to submitted applications. Yarn simply allocate resources based on the default set of values or what user has demanded. Yarn has no prior information about the submitted applications so it is very much possible that allocated resources are more or less than required. Energy is being wasted if fewer resources are required or application will probably not succeed if required more. In this research project, different techniques and methods are looked into for the collection of useful metrics related to applications and resources from Yarn, Spark and other sources. Machine Learning is becoming a very popular technique nowadays for the optimization of systems dealing with big data in a cloud environment. The goal is to collect these vital metrics and build a machine learning model to commission smart allocation of resources to submitted applications. This can help to increase the efficiency of the servers in the cloud and reduce the operating cost. Finally, a machine learning model was developed and memory and vCores were successfully predicted to be allocated to applications.Många stora företag som tillhandahåller molninfrastruktur, plattformar och tjänster måste möta många utmaningar när det handlar om stora data och utförandeav tusentals uppgifter som körs på servrar. Tusentals servrar som kör i molnetförbrukar en stor mängd energi vilket i hög grad ökar driftskostnaden för företag som tillhandahåller infrastrukturer och plattformar som tjänster. Hundratusentals applikationer skickas varje dag på dessa servrar av användare. Vid inlämning av ansökningar på något sätt utnyttjas inte de totala resurserna korrekt, vilket medför att de totala driftskostnaderna ökar. En distribution av Apache Hadoop, kallad HOPS, är utvecklad hos SICS Swedish ICT, och det görs ansträngningar för att göra den till en bättre plattform för institutioner och företag. Garn används som resurshanteringsoch schemaläggningsramen som är ansvarig för att allokera resurser som minne och CPU-kärnor till inlämnade applikationer. Garn fördelar helt enkelt resurser utifrån standardvärdet av värden eller vilken användare som har krävt. Garn har ingentidigare information om de inlämnade ansökningarna så det är mycket möjligtatt tilldelade resurser är mer eller mindre än vad som krävs. Energi slösas bort om färre resurser krävs eller ansökan kommer sannolikt inte att lyckas om det behövs mer. I detta forskningsprojekt undersöks olika tekniker och metoder för insamling av användbara mätvärden relaterade till applikationer och resurser från Garn, Spark och andra källor. Machine Learning blir idag en mycket populär teknik för optimering av systemsom hanterar stora data i en molnmiljö.Målet är att samla in dessa viktigamätvärden och bygga en maskininlärningsmodell för att beställa smart fördelning av resurser till inlämnade applikationer. Detta kan hjälpa till att öka effektiviteten hos servrarna i molnet och minska driftskostnaden. Slutligen utvecklades en maskininlärningsmodell och minnet och vCores hade framgångsrikt förutsagt att tilldelas applikationer.
43
Kollu, Kavya. "PROTOTYPE OF AN INTELLIGENT TUTORING SYSTEM USING THE JAVA EXPERT SYSTEM SHELL." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/118314.
Анотація:
Electrical EngineeringM.S.E.
In a technology driven world, efforts are being made to make education/learning available to individuals at any time with no compromise in the quality of teaching/training. To make learning flexible, different techniques such as distributing learning material, uploading audio lectures on the web, and creating intelligent tutoring systems (ITS) are being used. The technique considered here is an adaptive ITS, a system that replicates the learning that occurs in a student teacher relationship. This thesis develops an adaptive intelligent tutoring system architecture prototype where the addition, modification and removal of educational material are relatively easy. The resulting software will take into account: the goals of the specific educational experience, the concepts to be covered, the preferred learning style of the student, measures to detect misuse of the system functionality, behavior based on the student's performance and the generation of hint sequences and feedback messages to improve learning gain. The system will accomplish these objectives by assessing the student's prior knowledge level, observing the actions performed by the student and by adapting to his/her learning abilities. The ITS will attempt to be more intelligent by performing some actions traditionally done by a human teacher - such as diagnosing misconceptions, identifying the most suitable learning style, stressing concepts that the student is finding difficult to understand, switching back to the learning material if the student shows no improvement after a set of trials. The system makes sure that the student is getting feedback where appropriate. Using this prototype system, the student will be tutored to acquire declarative knowledge. A problem based learning (PBL) approach will be used to strengthen the acquired knowledge by providing a high degree of personal attention to the student. To show how the prototype system works, an example of analysis of a control system problem using bode plot technique will be used to assist the student in using the technique to perform the stability analysis of an analog, linear, time-invariant control system problems and to recommend a controller to attain stability (if the system is not stable). Ideas of porting the system from standalone to web-based architecture and features required for collaborative learning will be discussed and an architecture for a web-based tutoring system for supporting multiple students enabling communication between students and sharing data among them will be proposed.
Temple University--Theses
44
Elvira, Boman. "Deep Reinforcement Learning for Intelligent Road Maintenance in Small Island Developing States Vulnerable to Climate Change : Using Artificial Intelligence to Adapt Communities to Climate Change." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-373502.
Анотація:
The consequences of climate change are already noticeable in small island developing states. Road networks are crucial for a functioning society, and are particularly vulnerable to extreme weather, floods, landslides and other effects of climate change. Road systems in small island developing states are therefore in special need of climate adaptation efforts. Climate adaptation of road systems also has to be cost-efficient since these small island states have limited economical resources. Recent advances in deep reinforcement learning, a subfield of artificial intelligence, has proven that intelligent agents can achieve superhuman level at a number of tasks, setting hopes high for possible future applications of the algorithms. To investigate wether deep reinforcement learning is suitable for climate adaptation of road maintenance systems a simulator has been set up, together with three deep reinforcement learning agents, and two non-intelligent agents for performance comparisons. The results of the project indicate that deep reinforcement learning is suitable for use in intelligent road maintenance systems for climate adaptation in small island developing states.
45
Colon, Matthew J. "Controlling the Uncontrollable: A New Approach to Digital Storytelling using Autonomous Virtual Actors and Environmental Manipulation." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/261.
Анотація:
In most video games today that focus on a single story, scripting languages are used for controlling the artificial intelligence of the virtual actors. While scripting is a great tool for reliably performing a story, it has many disadvantages; mainly, it is limited by only being able to respond to those situations that were explicitly declared, causing unreliable responses to unknown situations, and the believability of the virtual actor is hindered by possible conflicts between scripted actions and appropriate responses as perceived by the viewer. This paper presents a novel method of storytelling by manipulating the environment, whether physically or the agent's perception of it, around the goals and behaviors of the virtual actor in order to advance the story rather than controlling the virtual actor explicitly. The virtual actor in this method is completely autonomous and the environment is manipulated by a story manager so that the virtual actor chooses to satisfy its goals in accordance with the direction of the story. Comparisons are made between scripting, traditional autonomy, Lionhead Studio's Black & White, Mateas and Stern's Façade, and autonomy with environmental manipulation in terms of design, performance, believability, and reusability.
It was concluded that molding an environment around a virtual actor with the help of a story manager gives the actor the ability to reliably perform both event-based stories while preserving the believability and reusability of the actor and environment. While autonomous actors have traditionally been used solely for emergent storytelling, this new storytelling method enables them to be used reliably and efficiently to tell event-based stories as well while reaping the benefits of their autonomous nature. In addition, the separation of the virtual actors from the environment and story manager in terms of design promotes a cleaner, reusable architecture that also allows for independent development and improvement. By modeling artificial intelligence design after Herbert Simon's “artifact,” emphasizing the encapsulation of the inner mechanisms of virtual actors, the next era of digital storytelling can be driven by the design and development of reusable storytelling components and the interaction between the virtual actor and its environment.
46
Lang, Andreas. "Face Detection using Swarm Intelligence." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-64415.
Анотація:
Groups of starlings can form impressive shapes as they travel northward together in the springtime. This is among a group
of natural phenomena based on swarm behaviour. The research field of artificial intelligence in computer science,
particularly the areas of robotics and image processing, has in recent decades given increasing attention to the underlying
structures. The behaviour of these intelligent swarms has opened new approaches for face detection as well. G. Beni and J.
Wang coined the term “swarm intelligence” to describe this type of group behaviour. In this context, intelligence describes
the ability to solve complex problems.
The objective of this project is to automatically find exactly one face on a photo or video material by means of swarm
intelligence. The process developed for this purpose consists of a combination of various known structures, which are then
adapted to the task of face detection. To illustrate the result, a 3D hat shape is placed on top of the face using an example
application program.
47
Lang, Andreas. "Face Detection using Swarm Intelligence." Technische Universität Chemnitz, 2010. https://monarch.qucosa.de/id/qucosa%3A19439.
Анотація:
Groups of starlings can form impressive shapes as they travel northward together in the springtime. This is among a group
of natural phenomena based on swarm behaviour. The research field of artificial intelligence in computer science,
particularly the areas of robotics and image processing, has in recent decades given increasing attention to the underlying
structures. The behaviour of these intelligent swarms has opened new approaches for face detection as well. G. Beni and J.
Wang coined the term “swarm intelligence” to describe this type of group behaviour. In this context, intelligence describes
the ability to solve complex problems.
The objective of this project is to automatically find exactly one face on a photo or video material by means of swarm
intelligence. The process developed for this purpose consists of a combination of various known structures, which are then
adapted to the task of face detection. To illustrate the result, a 3D hat shape is placed on top of the face using an example
application program.:1 Introduction
1.1 Face Detection
1.2 Swarm Intelligence and Particle Swarm Optimisation Fundamentals
3 Face Detection by Means of Particle Swarm Optimisation
3.1 Swarms and Particles
3.2 Behaviour Patterns
3.2.1 Opportunism
3.2.2 Avoidance
3.2.3 Other Behaviour Patterns
3.3 Stop Criterion
3.4 Calculation of the Solution
3.5 Example Application
4 Summary and Outlook
48
Rampal, Gaurav S. "Developing mobile distributed intelligent network services using RM-ODP." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ32556.pdf.
49
Schey, Nathan C. "Song identification using the numenta platform for intelligent computing." Connect to resource, 2008. http://hdl.handle.net/1811/32025.
50
Guglielmo, Eugene J. "Intelligent information retrieval for a multimedia database using captions." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23705.
Анотація:
This report describes an intelligent information retrieval system, MARIE, that employs natural language processing techniques for indexing and retrieving multimedia data. Captions describe photographs from the Naval Air Warfare Center Weapons Division, China Lake, California; the captions were written in English consisting mostly of noun phrases. For our work, an object-oriented type hierarchy represents semantic knowledge. Captions are parsed to produce a logical form, from which nouns and verbs are extracted to form keyword files. User queries are also specified in natural language. A two-phase match process is employed between the query and database. A coarse-grain match searches the keyword files and issues SQL queries to a relational database as necessary to find candidate captions for further analysis. A fine-grain match then compares the logical form of the query to the logical form for each caption. A list of caption IDs and accompanying match scores is then presented to the user, who can view the image and supporting data. A companion technical report contains the programs for the system discussed here.