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Dissertations / Theses on the topic 'Agent mining'
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1
Chaimontree, Santhana. "Multi-agent data mining with negotiation : a study in multi-agent based clustering." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/7673/.
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Multi-Agent Data Mining (MADM) seeks to harness the general advantages offered by Multi-Agent System (MAS) with respect to the domain of data mining. The research described in this thesis is concerned with Multi-Agent Based Clustering (MABC), thus MADM to support clustering. To investigate the use of MAS technology with respect to data mining, and specifically data clustering, two approaches are proposed in this thesis. The first approach is a multi-agent based approach to clustering using a generic MADM framework whereby a collection of agents with different capabilities are allowed to collaborate to produce a ``best'' set of clusters. The framework supports three clustering paradigms: K-means, K-NN and divisive hierarchical clustering. A number of experiments were conducted using benchmark UCI data sets and designed to demonstrate that the proposed MADM approach can identify a best set of clusters using the following clustering metrics: F-measure, Within Group Average Distance (WGAD) and Between Group Average Distance (BGAD). The results demonstrated that the MADM framework could successfully be used to find a best cluster configuration. The second approach is an extension of the proposed initial MADM framework whereby a ``best'' cluster configuration could be found using cooperation and negotiation among agents. The novel feature of the extended framework is that it adopts a two-phase approach to clustering. Phase one is similar to the established centralised clustering approach (except that it is conducted in a decentralised manner). Phase two comprises a negotiation phase where agents ``swap'' unwanted records so as to improve a cluster configuration. A set of performatives is proposed as part of a negotiation protocol to facilitate intra-agent negotiation. It is this negotiation capability which is the central contribution of the work described in this thesis. An extensive evaluation of the extended framework was conducted using: (i) benchmark UCI data sets and (ii) a welfare benefits data set that provides an exemplar application. Evaluation of the framework clearly demonstrates that, in the majority of cases, this negotiation phase serves to produce a better cluster configuration (in terms of cohesion and separation) than that produced using a simple centralised approach.
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Albashiri, Kamal Ali. "An investigation into the issues of multi-agent data mining." Thesis, University of Liverpool, 2010. http://livrepository.liverpool.ac.uk/1275/.
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Very often data relevant to one search is not located at a single site, it may be widely-distributed and in many different forms. Similarly there may be a number of algorithms that may be applied to a single Knowledge Discovery in Databases (KDD) task with no obvious “best” algorithm. There is a clear advantage to be gained from a software organisation that can locate, evaluate, consolidate and mine data from diverse sources and/or apply a diverse number of algorithms. Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. Since MAS are often distributed and agents have proactive and reactive features, combining Data Mining (DM) with MAS for Data Mining (DM) intensive applications is therefore appealing. This thesis discusses a number of research issues concerned with the viability of Multi-Agent systems for Data Mining (MADM). The problem addressed by this thesis is that of investigating the usefulness of MAS in the context of DM. This thesis also examines the issues affecting the design and implementation of a generic and extendible agent-based data mining framework. The principal research issues associated with MADM are those of experience and resource sharing, flexibility and extendibility, and protection of privacy and intellectual property rights. To investigate and evaluate proposed solutions to MADM issues, an Extendible Multi-Agent Data mining System (EMADS) was developed. This framework promotes the ideas of high availability and high performance without compromising data or DM algorithm integrity. The proposed framework provides a highly flexible and extendible data-mining platform. The resulting system allows users to build collaborative DM approaches. The proposed framework has been applied to a number of DM scenarios. Experimental tests on real data have confirmed its effectiveness.
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Chau, Michael, Daniel Zeng, Hsinchun Chen, Michael Huang, and David Hendriawan. "Design and evaluation of a multi-agent collaborative Web mining system." Elsevier, 2003. http://hdl.handle.net/10150/105861.
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Artificial Intelligence Lab, Department of MIS, University of ArizonaMost existing Web search tools work only with individual users and do not help a user benefit from previous search experiences of others. In this paper, we present the Collaborative Spider, a multi-agent system designed to provide post-retrieval analysis and enable across-user collaboration in Web search and mining. This system allows the user to annotate search sessions and share them with other users. We also report a user study designed to evaluate the effectiveness of this system. Our experimental findings show that subjectsâ search performance was degraded, compared to individual search scenarios in which users had no access to previous searches, when they had access to a limited number (e.g., 1 or 2) of earlier search sessions done by other users. However, search performance improved significantly when subjects had access to more search sessions. This indicates that gain from collaboration through collaborative Web searching and analysis does not outweigh the overhead of browsing and comprehending other usersâ past searches until a certain number of shared sessions have been reached. In this paper, we also catalog and analyze several different types of user collaboration behavior observed in the context of Web mining.
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Kerns, Kelly Michael Kumar Vijay. "A self-organized data mining agent framework to dynamically discover neural networks." Diss., UMK access, 2004.
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Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2004."A thesis in computer science." Typescript. Advisor: Vijay Kumar. Vita. Title from "catalog record" of the print edition Description based on contents viewed Feb. 21, 2006. Includes bibliographical references (leaves 96-98). Online version of the print edition.
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NOVALES, REINIER MOREJON. "A MULTI-AGENT APPROACH TO DATA MINING PROCESSES: APPLICATIONS TO HEALTH CARE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34660@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
A mineração de dados é um tema em alta que atrai pesquisadores de diferentes áreas, como bancos de dados, aprendizado de máquina e sistemas multiagentes. Como consequência do crescimento do volume de dados, há uma necessidade crescente de obter conhecimento desses grandes conjuntos de dados que são muito difíceis de manipular e processar com os métodos tradicionais. Os agentes de software podem desempenhar um papel significativo ao executar processos de mineração de dados de maneira mais eficiente. Por exemplo, eles podem trabalhar para realizar seleção, extração, pré-processamento e integração de dados, bem como mineração paralela, distribuída ou de múltiplas fontes. Este trabalho propõe uma abordagem (na forma de um framework) que usa agentes de software para gerenciar processos de mineração de dados. Para testar sua aplicabilidade, utilizamos vários conjuntos de dados relacionados ao domínio de saúde, representando alguns cenários de uso (hipotireoidismo, diabetes e arritmia).
Data mining is a hot topic that attracts researchers from different areas, such as databases, machine learning, and multi-agent systems. As a consequence of the growth of data volume, there is a growing need to obtain knowledge from these large data sets that are very difficult to handle and process with traditional methods. Software agents can play a significant role performing data mining processes in ways that are more efficient. For instance, they can work to perform selection, extraction, preprocessing and integration of data as well as parallel, distributed, or multisource mining. This work proposes an approach (in the form of a framework) that uses software agents to manage data mining processes. In order to test its applicability, we use several data sets related to health care domain representing some usage scenarios (hypothyroidism, diabetes and arrhythmia).
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Kerr, Wesley. "Learning to Recognize Agent Activities and Intentions." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/193649.
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Psychological research has demonstrated that subjects shown animations consisting of nothing more than simple geometric shapes perceive the shapes as being alive, having goals and intentions, and even engaging in social activities such as chasing and evading one another. While the subjects could not directly perceive affective state, motor commands, or the beliefs and intentions of the actors in the animations, they still used intentional language to describe the moving shapes. The purpose of this dissertation is to design, develop, and evaluate computational representations and learning algorithms that learn to recognize the behaviors of agents as they perform and execute different activities. These activities take place within simulations, both 2D and 3D. Our goal is to add as little hand-crafted knowledge to the representation as possible and to produce algorithms that perform well over a variety of different activity types. Any patterns found in similar activities should be discovered by the learning algorithm and not by us, the designers. In addition, we demonstrate that if an artificial agent learns about activities through participation, where it has access to its own internal affective state, motor commands, etc., it can then infer the unobservable affective state of other agents.
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Abdo, Walid A. A. "Enhancing association rules algorithms for mining distributed databases. Integration of fast BitTable and multi-agent association rules mining in distributed medical databases for decision support." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5661.
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Over the past few years, mining data located in heterogeneous and geographically distributed sites have been designated as one of the key important issues. Loading distributed data into centralized location for mining interesting rules is not a good approach. This is because it violates common issues such as data privacy and it imposes network overheads. The situation becomes worse when the network has limited bandwidth which is the case in most of the real time systems. This has prompted the need for intelligent data analysis to discover the hidden information in these huge amounts of distributed databases.
In this research, we present an incremental approach for building an efficient Multi-Agent based algorithm for mining real world databases in geographically distributed sites. First, we propose the Distributed Multi-Agent Association Rules algorithm (DMAAR) to minimize the all-to-all broadcasting between distributed sites. Analytical calculations show that DMAAR reduces the algorithm complexity and minimizes the message communication cost. The proposed Multi-Agent based algorithm complies with the Foundation for Intelligent Physical Agents (FIPA), which is considered as the global standards in communication between agents, thus, enabling the proposed algorithm agents to cooperate with other standard agents.
Second, the BitTable Multi-Agent Association Rules algorithm (BMAAR) is proposed. BMAAR includes an efficient BitTable data structure which helps in compressing the database thus can easily fit into the memory of the local sites. It also includes two BitWise AND/OR operations for quick candidate itemsets generation and support counting. Moreover, the algorithm includes three transaction trimming techniques to reduce the size of the mined data.
Third, we propose the Pruning Multi-Agent Association Rules algorithm (PMAAR) which includes three candidate itemsets pruning techniques for reducing the large number of generated candidate itemsets, consequently, reducing the total time for the mining process.
The proposed PMAAR algorithm has been compared with existing Association Rules algorithms against different benchmark datasets and has proved to have better performance and execution time. Moreover, PMAAR has been implemented on real world distributed medical databases obtained from more than one hospital in Egypt to discover the hidden Association Rules in patients¿ records to demonstrate the merits and capabilities of the proposed model further. Medical data was anonymously obtained without the patients¿ personal details. The analysis helped to identify the existence or the absence of the disease based on minimum number of effective examinations and tests. Thus, the proposed algorithm can help in providing accurate medical decisions based on cost effective treatments, improving the medical service for the patients, reducing the real time response for the health system and improving the quality of clinical decision making.
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Abdo, Walid Adly Atteya. "Enhancing association rules algorithms for mining distributed databases : integration of fast BitTable and multi-agent association rules mining in distributed medical databases for decision support." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5661.
Full textAbstract:
Over the past few years, mining data located in heterogeneous and geographically distributed sites have been designated as one of the key important issues. Loading distributed data into centralized location for mining interesting rules is not a good approach. This is because it violates common issues such as data privacy and it imposes network overheads. The situation becomes worse when the network has limited bandwidth which is the case in most of the real time systems. This has prompted the need for intelligent data analysis to discover the hidden information in these huge amounts of distributed databases. In this research, we present an incremental approach for building an efficient Multi-Agent based algorithm for mining real world databases in geographically distributed sites. First, we propose the Distributed Multi-Agent Association Rules algorithm (DMAAR) to minimize the all-to-all broadcasting between distributed sites. Analytical calculations show that DMAAR reduces the algorithm complexity and minimizes the message communication cost. The proposed Multi-Agent based algorithm complies with the Foundation for Intelligent Physical Agents (FIPA), which is considered as the global standards in communication between agents, thus, enabling the proposed algorithm agents to cooperate with other standard agents. Second, the BitTable Multi-Agent Association Rules algorithm (BMAAR) is proposed. BMAAR includes an efficient BitTable data structure which helps in compressing the database thus can easily fit into the memory of the local sites. It also includes two BitWise AND/OR operations for quick candidate itemsets generation and support counting. Moreover, the algorithm includes three transaction trimming techniques to reduce the size of the mined data. Third, we propose the Pruning Multi-Agent Association Rules algorithm (PMAAR) which includes three candidate itemsets pruning techniques for reducing the large number of generated candidate itemsets, consequently, reducing the total time for the mining process. The proposed PMAAR algorithm has been compared with existing Association Rules algorithms against different benchmark datasets and has proved to have better performance and execution time. Moreover, PMAAR has been implemented on real world distributed medical databases obtained from more than one hospital in Egypt to discover the hidden Association Rules in patients' records to demonstrate the merits and capabilities of the proposed model further. Medical data was anonymously obtained without the patients' personal details. The analysis helped to identify the existence or the absence of the disease based on minimum number of effective examinations and tests. Thus, the proposed algorithm can help in providing accurate medical decisions based on cost effective treatments, improving the medical service for the patients, reducing the real time response for the health system and improving the quality of clinical decision making.
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Sainani, Varsha. "Hybrid Layered Intrusion Detection System." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_theses/44.
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The increasing number of network security related incidents has made it necessary for the organizations to actively protect their sensitive data with network intrusion detection systems (IDSs). Detecting intrusion in a distributed network from outside network segment as well as from inside is a difficult problem. IDSs are expected to analyze a large volume of data while not placing a significant added load on the monitoring systems and networks. This requires good data mining strategies which take less time and give accurate results. In this study, a novel hybrid layered multiagent-based intrusion detection system is created, particularly with the support of a multi-class supervised classification technique. In agent-based IDS, there is no central control and therefore no central point of failure. Agents can detect and take predefined actions against malicious activities, which can be detected with the help of data mining techniques. The proposed IDS shows superior performance compared to central sniffing IDS techniques, and saves network resources compared to other distributed IDSs with mobile agents that activate too many sniffers causing bottlenecks in the network. This is one of the major motivations to use a distributed model based on a multiagent platform along with a supervised classification technique. Applying multiagent technology to the management of network security is a challenging task since it requires the management on different time instances and has many interactions. To facilitate information exchange between different agents in the proposed hybrid layered multiagent architecture, a low cost and low response time agent communication protocol is developed to tackle the issues typically associated with a distributed multiagent system, such as poor system performance, excessive processing power requirement, and long delays. The bandwidth and response time performance of the proposed end-to-end system is investigated through the simulation of the proposed agent communication protocol on our private LAN testbed called Hierarchical Agent Network for Intrusion Detection Systems (HAN-IDS). The simulation results show that this system is efficient and extensible since it consumes negligible bandwidth with low cost and low response time on the network.
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Kritzinger, Jacob Johannes. "The game of diminishing returns : Architecture as a regenerative agent of man and nature." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/63622.
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Mining related activities are more expansive than ever before, with population growth data showing an exponential
increase. These societies form part of the world consumer market in which people are constantly buying products
with a short life-expectancy, such as consumer electronic devices. More often than not, these mining activities occur
in developing countries or rural areas. A repercussion of mines located long distances from active communities is the
formation of new communities based solely on the monetary system of a mine. Various precedents show the societal
damage caused by the inevitable closure of mines. This eventuality is not the only societal concern associated
with mining communities; communities with few social binding factors. These spaces are often made up of individuals
from geographically and culturally disparate spaces who are brought together solely in their united search for
monetary stability. This often leaves these communities rife with xenophobic tendencies and unsustainably weak
community identities. Can a system be created in which community identity can act as a social catalyst preventing
the disintegration of communities abandoned by mines? The close-out plans, drawn up by mines, leaves a lot to be
desired. Based on outdated environmental data and environmental laws, these closure plans offer very little environmental
protection or land rehabilitation options, and nearly no protection of any kind for communities involved in
mining activities. There lies irreversible societal and environmental damage in our near future, not only for South
Africa, but worldwide, if we do not start offering up innovative ideas and possible solutions for these mining communities.
This dissertation will investigate architecturally based solutions for community stability, and environmental stability,
through the formation of a strong communal identity which will be based on environmental rehabilitation as the
catalyst for stability. The proposed site exists as a no-man’s-land between the Refilwe Community and Cullinan
diamond mines' largest slime dam. The constant expansion of the Refilwe community has pushed property development
to the absolute limit, in terms of proximity to the slime dam. This community currently borders on this slime
dam, hazardous to the humans and animals that live there.The history of Refilwe exemplifies pre-Apartheid and
Apartheid laws of segregation; a political system which still affects the identity of the residents and the community
as a whole today. Recent community-directed architectural failures leads this dissertation to reconsider how architecture
can rehabilitate or assist a community. As a point of departure, this dissertation examines utilizing existing
potential within a damaged space and analyses the significant community requirements at hand. The architectural
response will primarily be based on information collected from various sources, including but not limited to: sites
studies, environmental analyses, precedents and historical information. The programme was developed to utilize
architecture as a response method for remediation of both man and nature.Myn gebasseerde aktiwiteite het 'n hoër produksie en verwagting as ooit tevore met die bevolking se eksponensiële toename. Hierdie gemeenskappe vorm deel van die wêreld se vebruikersmark. Die publiek koop aanhoudend produkte wat binne 'n paar jaar op die vullishoop beland, byvoorbeeld elektroniese objekte. Die meerderheid myne word gevind in onontwikkelde lande of in 'n plattelandse omgewing. Die nadeel van myne wat ver van stedelike gebiede is, is dat die nuwe gemeenskappe alleenlik gevorm word om die stigting van die myn. Dit is bewys dat die onvermydelike staking van produksie van myne veroorsaak sosiale verwoesting in sulke gemeenskappe. Dit is nie die enigste probleem nie. Hierdie gemeenskappe het geen sosiale groepseenheid nie en bestaan meestal van mense van verskillende agtergronde en plekke. Hulle is saamgegooi as gevolg van werksgeleenthede. Die gevolg daarvan is dat die gemeenskap se individuele identiteit swak is, en xenofobiese gevoelens ontstaan. Die vraag is, kan 'n sisteem ontwerp word om 'n gemeenskaplike identiteit te help vorm? Wat sal help om die gemeenskap bymekaar te hou en te ontwikkel na die myn toemaak? Die finale plan vir die toemaak van 'n myn is gewoonlik nie bevredigend genoeg nie. Gebaseer op verouderde omgewingsinformasie en omgewingswette word te min beskermings opsies aangebied vir die rehabilitasie van die gebied. Onomkeerbare sosiale en omgewingsvernietiging sal in die toekoms volg, nie net vir Suid-Afrika nie, maar wêreldwyd, indien ons nie begin kyk na nuwe kreatiewe idees, en moontlike oplossings vir hierdie myn gemeenskappe nie. Die verhandeling versoek en beoog 'n oplossing met argitektuur as basis en agtergrond, vir die gemeenskap en die omgewings stabiliteit, deur die vorming van 'n sterker gemeenskaps identiteit wat gebaseer word of omgewings rehabilitasie. Die voorgestelde terrein plan en ontwikkeling skep 'n buffer tussen die Refilwe gemeenskap en die Cullinan Diamant Myn se grootste slyk dam. Die aanhoudende populasie aanwas van die Refilwe gemeenskap het eindomsontwikkeling tot aan sy grense gestoot in terme van sy ligging tot die slyk dam. Huidiglik grens die gemeenskap aan die slyk dam wat 'n gesondheids risiko is vir mens en dier wat daar lewe. Die geskiedenis van Refilwe vertoonbeeld die tydperk van Apartheid en Apartheidswette van segregasie, 'n politiese sisteem wat tot vandag toe die identiteit van die inwoners en die gemeenskap negatief beinvloed. Onlangse gemeenskapsgedrewe argitektuur mislukkings, lei hierdie verhandeling na die heroorweging van hoe argitektuur 'n gemeenskap kan rehabiliteer. Ter afsluiting, ondersoek die verhandeling die moontlikheid om die huidige potensiaal te gebruik in 'n geaffekteerde ruimte en om die toepaslike gemeenskapbehoeftes te analiseer. Die argiteksgedrewe antwoord sal primêr gebaseer wees op data versamel van verskeie oorde, insluitende maar nie beperk tot: terreinstudies, omgewings analises, feite en historiese inligtig. Die projek was ontwikkel om argitektuur te gebruik as 'n moontlike antwoord vir die herstel van mens en die natuur en om 'n nuwe simbiose te skep.
Mini Dissertation MArch(Prof)--University of Pretoria, 2018.
Architecture
MArch (Prof)
Unrestricted
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Nichols, Dianne Kay. "Assessment of teacher professional development as a change agent for the mining and metallurgical industries." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/1272.
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Science educators attended professional development programs about the mining and mineral processing industries. A mixed method primary data collection approach was used to investigate changes in attitude to the mining and mineral process industry and their ability to apply content knowledge application about the mining and mineral processing industries to their curriculum documents. The findings showed that after the professional development programs the science educators where able to make positive shifts in both areas.
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Toka, Bulent. "Use Of Borates As An Activating Agent For Drilling Mud Bentonites." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12609410/index.pdf.
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In drilling technologies, Na-bentonite-water mixtures are used as drilling mud. As the reserves of sodium-bentonite decline, calcium or low-quality bentonites are activated with inorganic salts and/or treated with different types of polymers as an alternative to Na-bentonite. The quality of such bentonites, commonly referred to as extended bentonite may deteriorate under severe drilling conditions, such asbacterial activity, high temperature etc. It was considered that borates could prevent the deterioration of extended bentonites due to their well known bactericide properties. This study involves the use of Na-Borate as an activating agent for bentonites in place of the commonly used Na-carbonate. The effects of Na-borate on the rheological and filtrate behaviours of two different bentonites, namely, Edirne Bentonite (E-Ben) and Ç
ankiri Bentonite (C-Ben) were investigated. The results were evaluated based on API standards and in comparison to those of Na-carbonate activated bentonites. It was found that Na-borate could be used as a bentonite activator, although somewhat higher dosages (3,78% Na2O equivalent for E-Ben and 0,76% Na2O equivalent for C-Ben) than Na-carbonate (2,90% Na2O equivalent for E-Ben and 0,58% Na2O equivalent for C-Ben) are necessary to obtain the same rheological properties. In terms of aging, it was determined that aging had no adverse effect on v the rheological and filtrate properties of bentonite treated with carboxymethyl cellulose (CMC) and polyanionic cellulose (PAC), but rheological properties of bentonites treated with xanthan gum were found to deteriorate upon aging. The presence of Na-borate in the mud appears to alleviate this adverse effect.
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Alfuhaid, Abdulaziz Ataallah. "AN AGENT-BASED SYSTEMATIC ENSEMBLE APPROACH FOR AUTO AUCTION PREDICTION." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542560217326084.
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Sha, Long. "Representing and predicting multi-agent data in adversarial team sports." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116506/1/Long_Sha_Thesis.pdf.
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This thesis addresses the theoretical challenges of the application of Artificial Intelligence (AI) to the domain of sports. The key contribution of this work is a new data representation that allows AI algorithms to understand real world sports games such as basketball and soccer. The theoretical advances that this thesis has contributed has the potential to make a significant impact on many aspects of sport analytics, such as prediction, retrieval and simulation. Intelligent systems have been developed based upon this method which enables active spectator engagement in sporting events and more effective coaching of athletes.
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Bělohlávek, Jiří. "Agent pro kurzové sázení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235980.
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This master thesis deals with design and implementation of betting agent. It covers issues such as theoretical background of an online betting, probability and statistics. In its first part it is focused on data mining and explains the principle of knowledge mining form data warehouses and certain methods suitable for different types of tasks. Second, it is concerned with neural networks and algorithm of back-propagation. All the findings are demonstrated on and supported by graphs and histograms of data analysis, made via SAS Enterprise Miner program. In conclusion, the thesis summarizes all the results and offers specific methods of extension of the agent.
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Hassouna, Mohammed Bassam. "Agent based modelling and simulation : an examination of customer retention in the UK mobile market." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6344.
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Customer retention is an important issue for any business, especially in mature markets such as the UK mobile market where new customers can only be acquired from competitors. Different methods and techniques have been used to investigate customer retention including statistical methods and data mining. However, due to the increasing complexity of the mobile market, the effectiveness of these techniques is questionable. This study proposes Agent-Based Modelling and Simulation (ABMS) as a novel approach to investigate customer retention. ABMS is an emerging means of simulating behaviour and examining behavioural consequences. In outline, agents represent customers and agent relationships represent processes of agent interaction. This study follows the design science paradigm to build and evaluate a generic, reusable, agent-based (CubSim) model to examine the factors affecting customer retention based on data extracted from a UK mobile operator. Based on these data, two data mining models are built to gain a better understanding of the problem domain and to identify the main limitations of data mining. This is followed by two interrelated development cycles: (1) Build the CubSim model, starting with modelling customer interaction with the market, including interaction with the service provider and other competing operators in the market; and (2) Extend the CubSim model by incorporating interaction among customers. The key contribution of this study lies in using ABMS to identify and model the key factors that affect customer retention simultaneously and jointly. In this manner, the CubSim model is better suited to account for the dynamics of customer churn behaviour in the UK mobile market than all other existing models. Another important contribution of this study is that it provides an empirical, actionable insight on customer retention. In particular, and most interestingly, the experimental results show that applying a mixed customer retention strategy targeting both high value customers and customers with a large personal network outperforms the traditional customer retention strategies, which focuses only on the customer‘s value.
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Herbold, Verena [Verfasser], Jens [Akademischer Betreuer] Grabowski, Jens [Gutachter] Grabowski, and Stephan [Gutachter] Waack. "Mining Developer Dynamics for Agent-Based Simulation of Software Evolution / Verena Herbold ; Gutachter: Jens Grabowski, Stephan Waack ; Betreuer: Jens Grabowski." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1190353571/34.
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Nicholson, Scott. "Creating a Criterion-Based Information Agent Through Data Mining for Automated Identification of Scholarly Research on the World Wide Web." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2459/.
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This dissertation creates an information agent that correctly identifies Web pages containing scholarly research approximately 96% of the time. It does this by analyzing the Web page with a set of criteria, and then uses a classification tree to arrive at a decision.
The criteria were gathered from the literature on selecting print and electronic materials for academic libraries. A Delphi study was done with an international panel of librarians to expand and refine the criteria until a list of 41 operationalizable criteria was agreed upon. A Perl program was then designed to analyze a Web page and determine a numerical value for each criterion.
A large collection of Web pages was gathered comprising 5,000 pages that contain the full work of scholarly research and 5,000 random pages, representative of user searches, which do not contain scholarly research. Datasets were built by running the Perl program on these Web pages. The datasets were split into model building and testing sets.
Data mining was then used to create different classification models. Four techniques were used: logistic regression, nonparametric discriminant analysis, classification trees, and neural networks. The models were created with the model datasets and then tested against the test dataset. Precision and recall were used to judge the effectiveness of each model. In addition, a set of pages that were difficult to classify because of their similarity to scholarly research was gathered and classified with the models.
The classification tree created the most effective classification model, with a precision ratio of 96% and a recall ratio of 95.6%. However, logistic regression created a model that was able to correctly classify more of the problematic pages.
This agent can be used to create a database of scholarly research published on the Web. In addition, the technique can be used to create a database of any type of structured electronic information.
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Bayir, Murat Ali. "A New Reactive Method For Processing Web Usage Data." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12607323/index.pdf.
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In this thesis, a new reactive session reconstruction method 'Smart-SRA'
is introduced. Web usage mining is a type of web mining, which exploits data mining techniques to discover valuable information from navigations of Web users. As in classical data mining, data processing and pattern discovery are the main issues in web usage mining. The first phase of the web usage mining is the data processing phase including session reconstruction. Session reconstruction is the most important task of web usage mining since it directly affects the quality of the extracted frequent patterns at the final step, significantly. Session reconstruction methods can be classified into two categories, namely '
reactive'
and '
proactive'
with respect to the data source and the data processing time. If the user requests are processed after the server handles them, this technique is called as &lsquo
reactive&rsquo
, while in &lsquo
proactive&rsquo
strategies this processing occurs during the interactive browsing of the web site. Smart-SRA is a reactive session reconstruction techique, which uses web log data and the site topology. In order to compare Smart-SRA with previous reactive methods, a web agent simulator has been developed. Our agent simulator models behavior of web users and generates web user navigations as well as the log data kept by the web server. In this way, the actual user sessions will be known and the successes of different techniques can be compared. In this thesis, it is shown that the sessions generated by Smart-SRA are more accurate than the sessions constructed by previous heuristics.
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Hopton, Sarah Beth. "Evidence of Things Not Seen: A Semi-Automated Descriptive Phrase and Frame Analysis of Texts about the Herbicide Agent Orange." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5705.
Full textAbstract:
From 1961 to 1971 the United States and the Republic of South Vietnam used chemicals to defoliate the coastal and upload forest areas of Viet Nam. The most notorious of these chemicals was named Agent Orange, a weaponized herbicide made up of two chemicals that, when combined, produced a toxic byproduct called TCDD-dioxin. Studied suggest that TCDD-dioxin causes significant human health problems in exposed American and Vietnamese veterans, and possibly their children (Agency, U.S. Environmental Protection, 2011). In the years since the end of the Vietnam War, volumes of discourse about Agent Orange has been generated, much of which is now digitally archived and machine-readable, providing rich sites of study ideal for “big data” text mining, extraction and computation. This study uses a combination of tools and text mining scripts developed in Python to study the descriptive phrases four discourse communities used across 45 years of discourse to talk about key issues in the debates over Agent Orange. Findings suggests these stakeholders describe and frame in significantly different ways, with Congress focused on taking action, the New York Times article and editorial corpus focused on controversy, and the Vietnamese News Agency focused on victimization. Findings also suggest that while new tools and methods make lighter work of mining large sets of corpora, a mixed-methods approach yields the most reliable insights. Though fully automated text analysis is still a distant reality, this method was designed to study potential effects of rhetoric on public policy and advocacy initiatives across large corpora of texts and spans of time.
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Hiremath, Naveen. "SenMinCom pervasive distributed dynamic sensor data mining for effective commerce /." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-07172008-230611/.
Full textAbstract:
Thesis (M.S.)--Georgia State University, 2008.Title from file title page. Yanqing Zhang, committee chair; Rajshekhar Sunderraman, Ying Zhu, committee members. Electronic text (64 p. : ill. (some col.)) : digital, PDF file. Description based on contents viewed Nov. 19, 2008. Includes bibliographical references (p. 59-64).
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Maitre, Julien. "Détection et analyse des signaux faibles. Développement d’un framework d’investigation numérique pour un service caché Lanceurs d’alerte." Thesis, La Rochelle, 2022. http://www.theses.fr/2022LAROS020.
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Ce manuscrit s’inscrit dans le cadre du développement d’une plateforme d’analyse automatique de documents associée à un service sécurisé lanceurs d’alerte, de type GlobalLeaks. Nous proposons une chaine d’extraction à partir de corpus de document, d’analyse semi-automatisée et de recherche au moyen de requêtes Web pour in fine, proposer des tableaux de bord décrivant les signaux faibles potentiels. Nous identifions et levons un certain nombre de verrous méthodologiques et technologiques inhérents : 1) à l’analyse automatique de contenus textuels avec un minimum d’a priori, 2) à l’enrichissement de l’information à partir de recherches Web 3) à la visualisation sous forme de tableau de bord et d’une représentation dans un espace 3D interactif. Ces approches, statique et dynamique, sont appliquées au contexte du data journalisme, et en particulier, au traitement, analyse et hiérarchisation d’informations hétérogènes présentes dans des documents. Cette thèse propose également une étude de faisabilité et de prototypage par la mise en œuvre d’une chaine de traitement sous forme d’un logiciel. La construction de celui-ci a nécessité la caractérisation d’un signal faible pour lequel nous avons proposé une définition. Notre objectif est de fournir un outil paramétrable et générique à toute thématique. La solution que nous proposons repose sur deux approches : statique et dynamique. Dans l’approche statique, contrairement aux approches existantes nécessitant la connaissance de termes pertinents dans un domaine spécifique, nous proposons une solution s’appuyant sur des techniques nécessitant une intervention moindre de l’expert du domaine. Dans ce contexte, nous proposons une nouvelle approche de modélisation thématique multi-niveaux. Cette méthode d’approche conjointe combine une modélisation thématique, un plongement de mots et un algorithme où le recours à un expert du domaine permet d’évaluer la pertinence des résultats et d’identifier les thèmes porteurs de signaux faibles potentiels. Dans l’approche dynamique, nous intégrons une solution de veille à partir des signaux faibles potentiels trouvées dans les corpus initiaux et effectuons un suivi pour étudier leur évolution. Nous proposons donc une solution d’agent mining combinant data mining et système multi-agents où des agents animés par des forces d’attraction/répulsion représentant documents et mots se déplacent. La visualisation des résultats est réalisée sous forme de tableau de bord et de représentation dans un espace 3D interactif dans unclient Unity. Dans un premier temps, l’approche statique a été évaluée dans une preuve de concept sur des corpus synthétiques et réelles utilisés comme vérité terrain. L’ensemble de la chaine de traitement (approches statique et dynamique), mise en œuvre dans le logiciel WILD, est dans un deuxième temps appliquée sur des données réelles provenant de bases documentairesThis manuscript provides the basis for a complete chain of document analysis for a whistleblower service, such as GlobalLeaks. We propose a chain of semi-automated analysis of text document and search using websearch queries to in fine present dashboards describing weak signals. We identify and solve methodological and technological barriers inherent to : 1) automated analysis of text document with minimum a priori information,2) enrichment of information using web search 3) data visualization dashboard and 3D interactive environment. These static and dynamic approaches are used in the context of data journalism for processing heterogeneous types of information within documents. This thesis also proposed a feasibility study and prototyping by the implementation of a processing chain in the form of a software. This construction requires a weak signal definition. Our goal is to provide configurable and generic tool. Our solution is based on two approaches : static and dynamic. In the static approach, we propose a solution requiring less intervention from the domain expert. In this context, we propose a new approach of multi-leveltopic modeling. This joint approach combines topic modeling, word embedding and an algorithm. The use of a expert helps to assess the relevance of the results and to identify topics with weak signals. In the dynamic approach, we integrate a solution for monitoring weak signals and we follow up to study their evolution. Wetherefore propose and agent mining solution which combines data mining and multi-agent system where agents representing documents and words are animated by attraction/repulsion forces. The results are presented in a data visualization dashboard and a 3D interactive environment in Unity. First, the static approach is evaluated in a proof-of-concept with synthetic and real text corpus. Second, the complete chain of document analysis (static and dynamic) is implemented in a software and are applied to data from document databases
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Janssoone, Thomas. "Analyse de signaux sociaux multimodaux : application à la synthèse d’attitudes sociales chez un agent conversationnel animé." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS607.
Full textAbstract:
Lors d'une interaction, le comportement non-verbal apporte des informations sur l'état affectif de l'intervenant comme son attitude ou sa personnalité par exemple. Cela se traduit par des modulations dans l'utilisation de ses signaux sociaux : les variations dans les mouvements de tête, les expressions faciales ou la prosodie traduisent ces différents phénomènes affectifs. Désormais, l'utilisation d'agents conversationnels animés permet aux machines d'utiliser le même type de signaux sociaux. Ces agents peuvent ainsi améliorer la qualité de vie dans nos sociétés modernes s'ils proposent une interaction naturelle avec des utilisateurs humains. Pour cela, l'agent virtuel doit être capable d'exprimer différentes attitudes selon l'utilisateur, comme de la dominance pour un tuteur ou de la bienveillance pour un compagnon. La littérature en sociologie et psychologie souligne que la dynamique dans l'usage des signaux sociaux contient une information importante pour l'expression de différents états affectifs. Les travaux présentés dans cette thèse proposent donc des modèles centrés sur la temporalité, élaborés à partir de signaux sociaux extraits automatiquement de corpus d'études, afin d'exprimer un phénomène affectif voulu. L'analyse de cette information est toujours effectuée dans un but de synthèse de comportements pour pouvoir l'utiliser lors de la génération d'agents conversationnels animés. Ainsi, une revue des bases de données existantes justifie l'élaboration, dans cette thèse, d'un corpus de travail composé d'allocutions présidentielles. Les vidéos de bonne qualité le composant permettent alors l'utilisation d'algorithmes pour évaluer automatiquement les signaux sociaux. Après un traitement des signaux sociaux extraits, des vidéos sont générées où un agent clone les allocutions. Cela permet d'évaluer et de comparer la perception d'attitude avec l'humain et avec l'agent virtuel comme protagoniste. Le modèle SMART utilise la fouille de données pour trouver des règles d'associations temporelles dans des corpus d'interactions. Il permet de trouver une information temporelle précise dans l'utilisation de signaux sociaux et de la lier avec une attitude sociale. La structure de ses règles permet également de transposer cette information pour synthétiser le comportement d'un agent virtuel. Des études perceptives viennent valider cette approche. Une collaboration internationale a abouti au modèle SSN qui se base sur de l'apprentissage profond et de la séparation de domaine. Il permet un apprentissage multi-tâche de plusieurs phénomènes affectifs simultanément et propose ainsi une méthode d'analyse de la dynamique des signaux employés. Ces différentes contributions confirment l’intérêt de prendre en compte la temporalité dans la synthèse d'agents virtuels pour exprimer correctement certains phénomènes affectifs. Les perspectives proposent des pistes pour l'intégration de cette information dans des solutions multimodalesDuring an interaction, non-verbal behavior reflects the emotional state of the speaker, such as attitude or personality. Modulations in social signals tell about someone's affective state like variations in head movements, facial expressions or prosody. Nowadays, machines can use embodied conversational agents to express the same kind of social cues. Thus, these agents can improve the quality of life in our modern societies if they provide natural interactions with users. Indeed, the virtual agent must express different attitudes according to its purpose, such as dominance for a tutor or kindness for a companion. Literature in sociology and psychology underlines the importance of the dynamic of social signals for the expression of different affective states. Thus, this thesis proposes models focused on temporality to express a desired affective phenomenon. They are designed to handle social signals that are automatically extracted from a corpus. The purpose of this analysis is the generation of embodied conversational agents expressing a specific stance. A survey of existing databases lead to the design of a corpus composed of presidential addresses. The high definition videos allow algorithms to automatically evaluate the social signals. After a corrective process of the extracted social signals, an agent clones the human's behavior during the addresses. This provides an evaluation of the perception of attitudes with a human or a virtual agent as a protagonist. The SMART model use sequence mining to find temporal association rules in interaction data. It finds accurate temporal information in the use of social signals and links it with a social attitude. The structure of these rules allows an easy transposition of this information to synthesize the behavior of a virtual agent. Perceptual studies validate this approach. A second model, SSN, designed during an international collaboration, is based on deep learning and domain separation. It allows multi-task learning of several affective phenomena and proposes a method to analyse the dynamics of the signals used. These different contributions underline the importance of temporality for the synthesis of virtual agents to improve the expression of certain affective phenomena. Perspectives give recommendation to integrate this information into multimodal solutions
24
Dermouche, Soumia. "Leveraging the dynamics of non-verbal behaviors : modeling social attitude and engagement in human-agent interaction." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS271.pdf.
Full textAbstract:
Dans le contexte de l'interaction humain-agent, notre objectif était d'améliorer la qualité de l'interaction en: (1) dotant l'agent de la capacité d'exprimer des attitudes sociales telles que la dominance ou l'amicalité ce qui renforcent ses compétences sociales; (2) adaptant le comportement de l'agent selon le comportement de l'utilisateur, par conséquent l'agent et l'utilisateur s'influencent mutuellement par le biais d'une boucle interactive; (3) prédisant le niveau d'engagement de l'utilisateur et adaptant en conséquence le comportement de l'agent, ce qui contribue à maintenir l'intérêt et la motivation de l'utilisateur. Nous nous basons sur les progrès récents dans le domaine de l'apprentissage automatique, plus particulièrement de l'extraction de séquences temporelles et des réseaux de neurones. Le premier est utilisé pour apprendre des séquences pertinentes de signaux non-verbaux qui représentent au mieux les variations d'attitude, puis les reproduire par l'agent. Le seconde est utilisé pour englober la dynamique des signaux non verbaux. Deux cas d'utilisation ont été explorés à l'aide du modèle LSTM : l'adaptation du comportement de l'agent en fonction de l’historique de comportement de l'agent et de l'utilisateur; et la prédiction de l'engagement de l'utilisateur basée sur son propre historique de comportement. La pertinence des modèles et des algorithmes implémentés a été validée au moyen de nombreuses études approfondies et d'une évaluation quantitative rigoureuse des résultats obtenus. De plus, les travaux réalisés ont été intégrés dans une plateforme d'agents virtuelsSocial interaction implies exchange between two or more persons, where they adapt their behaviors to each others. With the growing interest in human-agent interactions, it is desirable to make these interactions natural and human like. In this context, we aimed at enhancing the quality of the interaction between users and Embodied Conversational Agents ECAs by (1) endowing the ECA with the capacity to express social attitudes, such as being friendly or dominant depending its role or relationship with its interaction partners; (2) adapting the agent's behavior according to the user's behavior, hence, the conversation partners influence each others through an interaction loop, thus, enhancing the interaction quality; (3) predicting the user's engagement level and adapting the agent's behavior accordingly. We take advantage of the recent advances in machine learning, more specifically, temporal sequence mining and neural networks to model these capacities in the ECA. The first model is used to learn relevant patterns (sequences) of non-verbal signals that best represent attitude variations, and then reproduce them on the agent. The latter is used to encompass the dynamics of non-verbal signals. Two use cases have been explored using the well-known LSTM model: agent's behavior adaptation based on both agent's and user's behavior history, and user's engagement prediction based on his/her own behavior history. The implemented models and algorithms have been validated through a number of perceptive studies as well as through rigorous quantitative analysis of the obtained results. In addition, the realized models have been integrated into a virtual-agent platform
25
Atahary, Tanvir. "Acceleration of Cognitive Domain Ontologies." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1460734067.
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Vicente, Henrique Agostinho de Oliveira Monteiro. "Especificação e prototipação de sistemas de gestão e controlo da qualidade da água de albufeiras." Doctoral thesis, Universidade de Évora, 2004. http://hdl.handle.net/10174/11240.
Full textAbstract:
É possível re-equacionar os problemas subjacentes à temática da modelação da qualidade da água em albufeiras através de metodologias de resolução de problemas que emanam da Área Científica da Inteligência Artificial, assim como de ferramentas usadas na procura de soluções como as Árvores de Decisão, a Indução de Regras, as Redes Neuronais Artificiais e o Raciocínio Simbólico. O presente trabalho descreve modelos para a previsão da qualidade da água em albufeiras. Um destes modelos fundamenta-se em técnicas de Descoberta de Conhecimento em Bases de Dados, enquanto o outro se baseia no Raciocínio Simbólico. Os sistemas sub-simbólicos apresentam-se como complementares dos sistemas simbólicos permitindo, a partir destes, elaborar sobre sistemas de previsão e/ou simulação do estado futuro da qualidade das águas em albufeiras. Verificou-se que as fontes de informação na área do ambiente, particularmente no que concerne à qualidade da água em albufeiras, são variadas, heterogéneas e complexas, encontrando-se dispersas por diversas entidades, organismos e instituições. Esta dispersão não só torna difícil definir e caracterizar os problemas como impede a tomada das melhores decisões para os solucionar em tempo útil. Uma solução para este tipo de senãos passa pela integração, difusão e armazenamento desta informação diversificada num corpo único de forma a permitir a partilha de conhecimento com quem efectivamente dele necessita. Neste trabalho é apresentada uma Agência para a Integração, Difusão e Arquivo de Informação sobre a QUalidade da Água de Albufeiras – AQUA. A agência AQUA disponibiliza trabalhadores electrónicos inteligentes para tratar uma multitude de tarefas, tais como a comunicação entre os diferentes sub-sistemas, o enviar e receber informação (e.g. resultados das análises laboratoriais, resultados fornecidos pelos sistemas de aquisição automática de dados, informação relevante sobre as bacias, tais como cartas, levantamentos topográficos, modelos digitais do terreno, fontes de poluição pontual, utilização do solo, dados meteorológicos e climáticos, caracterização geomorfológica), o gerir, guardar e responder a pedidos de informação. A agência AQUA é, na sua essência, uma Data Warehousing associada a Sistemas MultiAgente. O objectivo principal passa por integrar, difundir, e arquivar grandes volumes de informação das mais diversas proveniências de forma a facilitar o rápido acesso à informação. A agência AQUA constitui um exemplo de aplicação de técnicas inovadoras da Área Científica da Inteligência Artificial a domínios do interesse público, neste caso à gestão e controlo dos recursos hídricos.
27
Sanchez, Manuel. "Autonomic process management for Integration in Industry 4.0." Thesis, Pau, 2020. http://www.theses.fr/2020PAUU3006.
Full textAbstract:
En raison de la révolution numérique, connue sous le nom d'Industrie 3.0, les frontières entre les mondes physique et digital se rétrécissent pour donner vie à des usines plus interconnectées et intelligentes dans lesquelles les employés, les machines, les processus et les produits interagissent de manière à donner une meilleure organisation de tous les moyens productifs, toute l'entreprise elle-même pour atteindre des niveaux plus élevés d'efficacité et de productivité. Ces technologies transforment profondément notre société, permettant de tout personnaliser en détail, de réduire les coûts des biens et services, de transformer les conditions de sécurité des travailleurs, entre autres. En ce sens, l'Industrie 3.0 a agi comme un catalyseur qui a promu de nouveaux mécanismes de production, à l'origine d'une nouvelle révolution industrielle connue sous le nom d'Industrie 4.0. Le concept d'Industrie 4.0 est utilisé pour désigner la nouvelle génération d'usines connectées, robotiques et intelligentes. Fondamentalement, la vision de l'Industrie 4.0 est de donner des capacités intelligentes à la production et aux opérations physiques pour créer un écosystème plus holistique et mieux connecté.Principalement, cette thèse vise à responsabiliser la gestion des processus pour l'Industrie 4.0, en proposant une pile de cinq niveaux, notée 5C. Les niveaux de pile 5C représentent un moyen de relever les défis d'intégration et d'interopérabilité afin qu'ils puissent être résolus de manière incrémentielle à chaque niveau. Dans cette perspective, nous devons commencer à résoudre les problèmes de connexion et de communication comme une première étape pour promouvoir des processus d'organisation plus élaborés comme la coordination, la coopération et la collaboration. Essentiellement, le 5C désigne des éléments essentiels pour permettre l'intégration autonome et l'interopérabilité des acteurs de l'Industrie 4.0.De ce point de vue, nous présentons une première contribution qui est destinée à faire face aux défis d'intégration du contexte de l’Industrie 4.0 au niveau de la connexion et de la communication. En second lieu, nous allons résoudre certains défis d'intégration de l'Industrie 4.0 au niveau de la coordination, de la coopération et de la collaboration. Enfin, nous mettons en œuvre un cycle autonome de tâches d'analyse de données pour l'autosurveillance, en utilisant plusieurs techniques d'exploration minière de tout sur des sources de données correspondant à un véritable processus de fabrication. Il définit un système de supervision basé sur la valeur propre, selon la classification faite par Xu et al. (2017), qui peut traiter et vérifier les fonctionnalités et l'applicabilité de notre cadre dans les processus de fabrication. De plus, le système d'auto-supervision développé dans ce projet de thèse sera comparé à d'autres travaux de rechercheBecause of the digital revolution, also known as Industry 3.0, the boundaries between the physical and digital worlds are shrinking to give life to a more interconnected and smart factories. These factories allow employees, machines, processes, and products to interact oriented to provide a better organization of all the productive means, empowering the entire company itself to achieve higher levels of efficiency and productivity. These technologies are profoundly transforming our society, allowing customizing everything in detail, reducing goods and services costs, transforming worker's and job’s conditions for safety and security, among others. In that sense, Industry 3.0 acted as a catalyst that promoted new production mechanisms, which originated a new industrial revolution known as Industry 4.0. The concept of Industry 4.0, is used to designate the new generation of connected, robotics, and intelligent factories. Fundamentally, the vision of Industry 4.0 is to give smart capabilities to the production and physical operations to create a more holistic and better-connected ecosystem.One crucial aspect to consider, regarding the idea of the Industry 4.0 concept, is related to integrability and interoperability of the actors involved in manufacturing processes. It means that people, things, processes, and data have to be able not only to make decisions for themselves and to carry out their work in a more autonomous way (independence) but, also, the self-management of the whole factory (need to promote integrability and interoperability). The previous statement implies that the production processes’ actors should be able to autonomously negotiate in order to reach agreements linked to achieve both individual and collective production goals. In that sense, Industry 4.0 represents not only a new way to produce goods and services but also a crucial integration challenge of the actors involved in the manufacturing processes that need connection, communication, coordination, cooperation, and collaboration (denoted as 5C) capabilities that allow them to comply with the vision of Industry 4.0.Principally, this thesis aims at empowering processes management for Industry 4.0, proposing a stack of five levels, denoted as 5C. The 5C stack levels represent a way to deal with integration and interoperability challenges so that they can be solved incrementally at each level. From this perspective, we must start solving connection and communication issues as a first step to promote more elaborated organization processes like coordination, cooperation, and collaboration. Mainly, the 5C denote the elements needed to allow autonomous integration and interoperability of actors in Industry 4.0.From this point of view, in this thesis project, we present a first contribution that is oriented to deal with the integration challenges regarding the Industry 4.0 context at the level of connection and communication. In the second place, we will solve some integration challenges of Industry 4.0 at the level of coordination, cooperation, and collaboration. Finally, we implement an autonomous cycle of data analytics tasks for self-supervising, using several Everything-mining techniques over data sources corresponding to a real manufacturing process. It defines a self-value-driven supervisory system, according to the classification made by Xu et al. (2017), that can process and verify the functionalities and applicability of our framework in manufacturing processes. Moreover, the self-supervising system developed in this thesis project is compared to other research works
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Kamenieva, Iryna. "Research Ontology Data Models for Data and Metadata Exchange Repository." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-6351.
Full textAbstract:
For researches in the field of the data mining and machine learning the necessary condition is an availability of various input data set. Now researchers create the databases of such sets. Examples of the following systems are: The UCI Machine Learning Repository, Data Envelopment Analysis Dataset Repository, XMLData Repository, Frequent Itemset Mining Dataset Repository. Along with above specified statistical repositories, the whole pleiad from simple filestores to specialized repositories can be used by researchers during solution of applied tasks, researches of own algorithms and scientific problems. It would seem, a single complexity for the user will be search and direct understanding of structure of so separated storages of the information. However detailed research of such repositories leads us to comprehension of deeper problems existing in usage of data. In particular a complete mismatch and rigidity of data files structure with SDMX - Statistical Data and Metadata Exchange - standard and structure used by many European organizations, impossibility of preliminary data origination to the concrete applied task, lack of data usage history for those or other scientific and applied tasks.
Now there are lots of methods of data miming, as well as quantities of data stored in various repositories. In repositories there are no methods of DM (data miming) and moreover, methods are not linked to application areas. An essential problem is subject domain link (problem domain), methods of DM and datasets for an appropriate method. Therefore in this work we consider the building problem of ontological models of DM methods, interaction description of methods of data corresponding to them from repositories and intelligent agents allowing the statistical repository user to choose the appropriate method and data corresponding to the solved task. In this work the system structure is offered, the intelligent search agent on ontological model of DM methods considering the personal inquiries of the user is realized.
For implementation of an intelligent data and metadata exchange repository the agent oriented approach has been selected. The model uses the service oriented architecture. Here is used the cross platform programming language Java, multi-agent platform Jadex, database server Oracle Spatial 10g, and also the development environment for ontological models - Protégé Version 3.4.
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Mortensen, Clifton H. "A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2208.
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Computational fluid dynamics simulations are advancing to correctly simulate highly complex fluid flow problems that can require weeks of computation on expensive high performance clusters. These simulations can generate terabytes of data and pose a severe challenge to a researcher analyzing the data. Presented in this document is a general method to extract computational fluid dynamics flow features concurrent with a simulation and as a post-processing step to drastically reduce researcher post-processing time. This general method uses software agents governed by subjective logic to make decisions about extracted features in converging and converged data sets. The software agents are designed to work inside the Concurrent Agent-enabled Feature Extraction concept and operate efficiently on massively parallel high performance computing clusters. Also presented is a specific application of the general feature extraction method to vortex core lines. Each agent's belief tuple is quantified using a pre-defined set of information. The information and functions necessary to set each component in each agent's belief tuple is given along with an explanation of the methods for setting the components. A simulation of a blunt fin is run showing convergence of the horseshoe vortex core to its final spatial location at 60% of the converged solution. Agents correctly select between two vortex core extraction algorithms and correctly identify the expected probabilities of vortex cores as the solution converges. A simulation of a delta wing is run showing coherently extracted primary vortex cores as early as 16% of the converged solution. Agents select primary vortex cores extracted by the Sujudi-Haimes algorithm as the most probable primary cores. These simulations show concurrent feature extraction is possible and that intelligent agents following the general feature extraction method are able to make appropriate decisions about converging and converged features based on pre-defined information.
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Carter, Assheton Stewart. "Mining companies as agents of development? : corporate social responsibility, participation and local community at mining projects." Thesis, University of Bath, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323581.
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Joines, Amy. "Impact of private data mining on personal privacy from agents of government." [Ames, Iowa : Iowa State University], 2009.
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Vicente, Henrique. "Especificação e Prototipação de Sistemas de Gestão e Controlo da Qualidade da Água de Albufeiras." Doctoral thesis, Edição da Universidade de Évora, 2004. http://hdl.handle.net/10174/4865.
Full textAbstract:
É possível re-equacionar os problemas subjacentes à temática da modelação da qualidade da água em albufeiras através de metodologias de resolução de problemas que emanam da Área Científica da Inteligência Artificial, assim como de ferramentas usadas na procura de soluções como as Árvores de Decisão, a Indução de Regras, as Redes Neuronais Artificiais e o Raciocínio Simbólico.
O presente trabalho descreve modelos para a previsão da qualidade da água em albufeiras. Um destes modelos fundamenta-se em técnicas de Descoberta de Conhecimento em Bases de Dados, enquanto o outro se baseia no Raciocínio Simbólico. Os sistemas sub-simbólicos apresentam-se como complementares dos sistemas simbólicos permitindo, a partir destes, elaborar sobre sistemas de previsão e/ou simulação do estado futuro da qualidade das águas em albufeiras.
Verificou-se que as fontes de informação na área do ambiente, particularmente no que concerne à qualidade da água em albufeiras, são variadas, heterogéneas e complexas, encontrando-se dispersas por diversas entidades, organismos e instituições. Esta dispersão não só torna difícil definir e caracterizar os problemas como impede a tomada das melhores decisões para os solucionar em tempo útil. Uma solução para este tipo de senãos passa pela integração, difusão e armazenamento desta informação diversificada num corpo único de forma a permitir a partilha de conhecimento com quem efectivamente dele necessita.
Neste trabalho é apresentada uma Agência para a Integração, Difusão e Arquivo de Informação sobre a QUalidade da Água de Albufeiras – AQUA. A agência AQUA disponibiliza trabalhadores electrónicos inteligentes para tratar uma multitude de tarefas, tais como a comunicação entre os diferentes sub-sistemas, o enviar e receber informação (e.g. resultados das análises laboratoriais, resultados fornecidos pelos sistemas de aquisição automática de dados, informação relevante sobre as bacias, tais como cartas, levantamentos topográficos, modelos digitais do terreno, fontes de poluição pontual, utilização do solo, dados meteorológicos e climáticos, caracterização geomorfológica), o gerir, guardar e responder a pedidos de informação. A agência AQUA é, na sua essência, uma Data Warehousing associada a Sistemas MultiAgente. O objectivo principal passa por integrar, difundir, e arquivar grandes volumes de informação das mais diversas proveniências de forma a facilitar o rápido acesso à informação. A agência AQUA constitui um exemplo de aplicação de técnicas inovadoras da Área Científica da Inteligência Artificial a domínios do interesse público, neste caso à gestão e controlo dos recursos hídricos.
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Whetzel, Jonathan Hunt. "Developing intelligent agents for training systems that learn their strategies from expert players." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2662.
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Computer-based training systems have become a mainstay in military and
private institutions for training people how to perform certain complex tasks. As
these tasks expand in difficulty, intelligent agents will appear as virtual teammates
or tutors assisting a trainee in performing and learning the task. For developing
these agents, we must obtain the strategies from expert players and emulate their
behavior within the agent. Past researchers have shown the challenges in acquiring
this information from expert human players and translating it into the agent. A
solution for this problem involves using computer systems that assist in the human
expert knowledge elicitation process. In this thesis, we present an approach for
developing an agent for the game Revised Space Fortress, a game representative of
the complex tasks found in training systems. Using machine learning techniques,
the agent learns the strategy for the game by observing how a human expert plays.
We highlight the challenges encountered while designing and training the agent in
this real-time game environment, and our solutions toward handling these
problems. Afterward, we discuss our experiment that examines whether trainees
experience a difference in performance when training with a human or virtual
partner, and how expert agents that express distinctive behaviors affect the
learning of a human trainee. We show from our results that a partner agent that
learns its strategy from an expert player serves the same benefit as a training
partner compared to a programmed expert-level agent and a human partner of
equal intelligence to the trainee.
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Abdel, Wahid Mohamed Hussein Mabrouk. "Overcoming local minima in artificial potentail field path-planning using internal agent states." Thesis, University of Strathclyde, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501868.
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Hjelm, Fredrik, and Jesper Persson. "Informationsasymmetri och målöverensstämmelse vid implementering av ekonomistyrning : En kvalitativ och kvantitativ studie på Boliden Mineral AB." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74081.
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Inom ekonomistyrning utgår ekonomer oftast från att målöverensstämmelse existerar och att de anställda arbetar utifrån de uppställda målen med perfekt information. Men informationsasymmetri finns överallt och kan leda till ökade kostnader, att fel uppstår och försenade leveranser. Detta är särskilt intressant inom gruvindustrin eftersom den karakteriseras av komplexitet vilket ökar svårigheter med att förmedla styrningen. Frågan blir; under vilka förutsättningar uppstår informationsasymmetri inom styrning och målöverensstämmelse samt hur kan asymmetrin reduceras inom gruvindustrin? Syftet med examensarbetet blir därmed att öka förståelse och analysera hur informationsasymmetri påverkar ekonomistyrning och målöverensstämmelse inom gruvindustrin samt hur asymmetrin kan reduceras. Arbetet utgår ifrån principal-agent teorin som grundas på antaganden om informationsasymmetri och egen nyttomaximering. Utifrån den målkonflikten grundas hypoteserna om de begrepp som ökar och reducerar målöverensstämmelse genom ökad och minskad informationsasymmetri. De olika teoretisk begreppen som undersöktes var missanpassad information, opportunism, återkoppling, internutbildning och tid. Examensarbetet utfördes genom att använda oss av Cavaye (1996) modell för flerstudieansats (eng. Multifaceted research approach) där vi har först gjort Studie 1 som grundas på kvalitativa intervjuer för att få mer information om företaget och industrin. Sedan i Studie 2 testas begreppen genom en kvantitativ enkät som skickades ut till personer inom företaget utifrån ett strategisk urval. Resultatet från undersökningen var att hypoteserna bekräftades och att agenterna anser att målen är viktiga och internutbildning var de starkaste faktorerna för att reducera informationsasymmetri och öka målöverensstämmelse.In management control systems economist usually assume perfect information and goal congruence from the top to the bottom of the organization. But information asymmetry is everywhere and often leads to increased costs, missed deadlines and other mistakes. This is particularly interesting in the mining industry as it’s characterized by complexity which increases the difficulty of communicating the control system throughout the organization. The research question then becomes; under which circumstances does information asymmetry occur in control systems and goal congruence and how can the asymmetry be reduced in the mining industry? The purpose of the study is therefore to increase the understanding and analyze how information asymmetry impact control systems and goal congruence in the mining industry and how the asymmetry can be reduced. The study is based on the principal-agent theory is based on the assumptions of information asymmetry and self-interest between the two parties. Based on that goal conflict our hypothesis of the variables that increase and reduce goal congruence through increased and decreased information asymmetry is formed. The investigated variables were miss adapted information, opportunism, feedback, workplace education and time. The study was conducted by using Cavaye (1996) model for multifaceted research approach by starting off with Study 1, which was based on qualitative interviews to get more information about the company and the mining industry. Study 2 later tested the variables impact by conducting a quantitative study though the use of a survey that was sent to people of interest within the company though a strategic selection. The result of the study was that the hypotheses were confirmed and that workplace education training and valuing the importance of the goals where the most important variables to reduce information asymmetry and increase goal congruence.
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Viademonte, da Rosa Sérgio I. (Sérgio Ivan) 1964. "A hybrid model for intelligent decision support : combining data mining and artificial neural networks." Monash University, School of Information Management and Systems, 2004. http://arrow.monash.edu.au/hdl/1959.1/5159.
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Marinho, Leandro Balby. "UM FRAMEWORK MULTIAGENTE PARA A PERSONALIZAÇÃO DA WEB BASEADO NA MODELAGEM DE USUÁRIOS E NA MINERAÇÃO DE USO." Universidade Federal do Maranhão, 2005. http://tedebc.ufma.br:8080/jspui/handle/tede/379.
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With the continuous migration of a great diversity of services to the Web, the need for characterizing the users in this environment increases. For that, components that can continually perceive their environment and rapidly adapt to its changes are required, thus reflecting the changes in the user behaviors. Among the existent approaches for modeling Web users, Web usage mining appears as one of the most interesting. Through Web usage mining a user can be implicitly and automatically modeled through his/her usage data, generated from his/her interaction with the Web. This work proposes ONTOWUM, a user modeling and usage mining-based multi-agent framework for Web personalization. The framework comprises two layers, where four agents are distributed according to their responsibilities: Interface agent, responsible for both capturing the user browsing information and performing the adaptation effects; User Modeling agent, responsible for creating and updating both user models and adaptation models; Acquirer agent, responsible for creating and updating an usage data repository containing past user models; and finally, Miner agent, responsible for both discovering group of users with similar browsing behavior and classifying the current user in these groups. The Interface and User modeling agents belong to the user information-processing layer, and the Acquirer and Miner agents belong to the pattern-discovering layer. The methodology and tool used to guide the analyses and design phases were MADEM ( Multi-Agent Domain Engineering Methodology ) and ONTOMADEM, respectively. For the implementation of ONTOWUM it was used the JADE framework.
Com a incessante migração das mais diversas categorias de serviços ao ambiente Web, a necessidade de caracterizar os usuários nesse ambiente nunca foi tão presente. Para isso, são necessários componentes que tenham a habilidade de continuamente perceber o ambiente e rapidamente se adaptarem a ele, refletindo assim as próprias mudanças no comportamento do usuário. Dentre as abordagens existentes para a modelagem de usuários da Web, a mineração de uso da Web figura entre as mais interessantes, pois através dessa abordagem pode-se modelar o usuário implicitamente através dos dados de uso gerados através da sua interação com a Web. Este trabalho propõe ONTOMUW", um framework multiagente para a personalização da Web baseado na modelagem de usuários e na mineração de uso. O framework é composto por duas camadas onde se distribuem quatro agentes de acordo com suas responsabilidades: agente Interfaceador, responsável tanto pela captura das informações provenientes da navegação do usuário quanto pela execução da adaptação; agente Modelador, responsável por criar e atualizar tanto modelos de usuários quanto modelos de adaptação; agente Aquisitor, responsável pela criação e manutenção de um repositório de dados de uso contendo os modelos de usuários passados; e, finalmente, agente Minerador, responsável tanto pela descoberta de grupos de usuários com comportamento de navegação similar quanto pela classificação do usuário corrente nos grupos descobertos. Os agentes Interfaceador e Modelador compõem a camada de processamento de informações do usuário, enquanto que os agentes Aquisitor e Minerador compõem a camada de descoberta de padrões. A metodologia e ferramenta utilizadas para guiar o processo de análise e projeto de domínio do ONTOMUW foram a MADEM ( Multi-Agent Domain Engineering Methodology ) e a ONTOMADEM respectivamente. Para a implementação do framework utilizou-se o ambiente JADE.
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England, Jennifer Leigh. "(Dis)Empowering Agents of Change: A Study of the Athens Messenger's Reporting on Coal Mining Practices and Their Environmental Impact from the 1960s to the 1990s." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1304019456.
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Oliveira, Robson Butaca Taborelli de. "O processo de extração de conhecimento de base de dados apoiado por agentes de software." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23092001-231242/.
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Os sistemas de aplicações científicas e comerciais geram, cada vez mais, imensas quantidades de dados os quais dificilmente podem ser analisados sem que sejam usados técnicas e ferramentas adequadas de análise. Além disso, muitas destas aplicações são voltadas para Internet, ou seja, possuem seus dados distribuídos, o que dificulta ainda mais a realização de tarefas como a coleta de dados. A área de Extração de Conhecimento de Base de Dados diz respeito às técnicas e ferramentas usadas para descobrir automaticamente conhecimento embutido nos dados. Num ambiente de rede de computadores, é mais complicado realizar algumas das etapas do processo de KDD, como a coleta e processamento de dados. Dessa forma, pode ser feita a utilização de novas tecnologias na tentativa de auxiliar a execução do processo de descoberta de conhecimento. Os agentes de software são programas de computadores com propriedades, como, autonomia, reatividade e mobilidade, que podem ser utilizados para esta finalidade. Neste sentido, o objetivo deste trabalho é apresentar a proposta de um sistema multi-agente, chamado Minador, para auxiliar na execução e gerenciamento do processo de Extração de Conhecimento de Base de Dados.Nowadays, commercial and scientific application systems generate huge amounts of data that cannot be easily analyzed without the use of appropriate tools and techniques. A great number of these applications are also based on the Internet which makes it even more difficult to collect data, for instance. The field of Computer Science called Knowledge Discovery in Databases deals with issues of the use and creation of the tools and techniques that allow for the automatic discovery of knowledge from data. Applying these techniques in an Internet environment can be particulary difficult. Thus, new techniques need to be used in order to aid the knowledge discovery process. Software agents are computer programs with properties such as autonomy, reactivity and mobility that can be used in this way. In this context, this work has the main goal of presenting the proposal of a multiagent system, called Minador, aimed at supporting the execution and management of the Knowledge Discovery in Databases process.
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Statheros, Thomas. "Investigation of local minima in autonomous potential field agents/vehicles in pure dynamic environment." Thesis, University of Kent, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.652027.
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Autonomous vehicle navigation can be divided into two major areas of research: Collision avoidance and Track-Keeping. This study focuses on Collision avoidance which is one of the major issues that unmanned autonomous vehicles have to face. Collision avoidance may be further grouped into classical and soft computing based categories. Classical techniques are based on mathematical models and algorithms, while soft-computing techniques are based on Artificial Intelligence. In this study, we focus on the Classical techniques and more specifically in the Potential Field Methods. The potential field algorithms rapidly gained popularity due to their simplicity and elegance. In other words, Potential Field Methods are generic, computationally efficient and generate naturally smooth trajectories. On the other hand, PFM algorithms experience local minima. Nevertheless, local minima for PFM are extensively studied in different environments; they have never studied in a Pure Dynamic Environment (PDE). PDE is a new dynamic environment in which all its elements are guaranteed to be dynamic at their initial state. In this way we have managed to identify and define the causes of Potential Field Agent local minima and trajectory inefficiencies in a number of collision scenarios within PDE. To efficiently and accurately identify and define these causes of local minima and traj ectory inefficiencies, we have introduced the novel concept of the Monovular Autonomous Agent Correlation. Based on this concept we have identified and mathematically defined the Trajectory Equilibrium State (TES) for the first time. This state is responsible for local minima and trajectory inefficiencies of Monovular Autonomous Agents in PDE. Because of TES identification and definition we have designed a lUle based mathematical algorithm that efficiently navigates the Autonomous Agents out of local minima and trajectory inefficiencies in PDE in a number of generic collision scenarios. The algorithm's performance is tested in a number of simulated water based collision scenarios.
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Konstantinou, Eleni. "An experimental study on the impact of temperature, gasifying agents composition and pressure in the conversion of coal chars to combustible gas products in the context of Underground Coal Gasification." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/98615/.
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The key controlling factor in the effective energy conversion of coal to combustible gases during the UCG process is the behaviour of the pyrolysed char in the reduction zone of the UCG cavity, which has not been published in available academic literature. This study investigates the impact of the operating parameters during the reduction zone of UCG using a bespoke high pressure high temperature rig which was developed as part of this research work. This rig, operating at temperatures of up to 900 oC and at pressures up to 5.0 MPa, simulates the UCG process including each UCG zone individually for a broad range of underground conditions to a depth of 500 m. Carbon dioxide and steam were used as the primary reductants with char derived from dry steam coal and anthracite sample. Carbon dioxide and steam were injected at a variety of pressures and temperatures, plus at a range of relative H2O/CO2 proportions. The composition of the resulting product gas of both coals was measured and subsequently used to calculate carbon conversion (X), carbon conversion of combustible gases ( ), cold gas efficiency (CGE) and low heating value (LHV) of the product gas. Optimal operating conditions were determined for the dry steam coal and anthracite that produced the best gas composition both at atmospheric and elevated pressure and are unique for each UCG system. A shrinking core model was employed to describe the behaviour of the pyrolised char to determine the activation energy and pre-exponential factor at atmospheric pressure for both coals. The evolution of the volatile matter of both coals and its contribution to the overall UCG performance was also determined. An optimum H2O/CO2 ratio was determined for both coals which enhanced the gasification rate of both coal chars up to the ratio of 2:1, above this ratio the effect saturated for both coals. It was shown that pressure increases the reduction-gasification process of the chars which suggests that there is an optimum operating pressure which produces a peak in carbon conversion, CGE and LHV for the product gas over the conditions tested that differs for each coal. Therefore UCG projects aiming at reaching higher pressures will not achieve an increase in the output, unless there are some new effects occurring above 4.0 MPa. Pressure enhances the gas solid reactions and almost doubles the max carbon conversion ( of combustible gases achieved at elevated pressure compared to that at atmospheric pressure. A shrinking core model was modified to take into account the effect of total pressure to the gasification rate of dry steam coal at 900 oC and pressures ranging from 0.7 to 1.65 MPa. Reaction constants for various pressures at 900 oC were determined for both coal chars. Analysis of data shown that typical UCG operations on low rank coals provides a combustible product gas that relies heavily on releasing the volatile matter from the coal and does not depend on the carbon conversion of char to gas which justifies the high CGE and LHV of the product gas found in the field trials. It was found that carbon conversion X is not significantly affected by the type of coal and that the carbon converted during UCG is between approximately 45% for high rank coals up to 55% for low rank coals. Experimental results were used to calculate the output, size and UCG model of a potential power plant which produced realistic solutions and proves that high rank coals can be suitable for UCG projects. Anthracite can produce almost the same amount of combustible gases as the dry steam coal operating under specific conditions but with a lower CGE and LHV which suggests that anthracite may be found to be more suitable for producing hydrocarbons with UCG than energy.
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Witherspoon, Luke. "In Silico Mining of a System Wide Transcriptional Profiling Database for Clinically Relevant Gene Modulation by FDA Approved or FDA Ready Agents; Validation of a Novel Translational Approach." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20118.
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It has been recognized that small molecules can affect a substantial proportion of the human transcriptome in ways that are currently unknown and difficult to predict. Working with the Broad Institute, using their Connectivity Map database, we have worked to identify compounds anticipated to modulate two diseases; myotonic dystrophy (DM1) and Duchenne muscular dystrophy (DMD). DM1 stems from an expanded CTG repeat found in the DMPK gene. The down regulation of DMPK mRNA represents a valid therapeutic avenue. DMD is characterized by degeneration of muscle, caused by mutations in the dystrophin gene. One therapeutic strategy for DMD is to increase the dystrophin homologue utrophin. We have identified a number of compounds capable of decreasing DMPK mRNA and others which increase utrophin mRNA and protein. We hope our success in compound identification not only leads to potential therapeutics for these diseases, but highlights the usefulness of using in silico screens.
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N?brega, Marcella Pereira da. "Minist?rio P?blico: atua??o como ?rg?o agente na defesa de direitos individuais indispon?veis." PROGRAMA DE P?S-GRADUA??O EM DIREITO, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/21902.
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O Minist?rio P?blico recebeu um delineamento constitucional muito peculiar pela Constitui??o Federal de 1988 como institui??o de controle e agente de transforma??es sociais, de maneira que as suas amplas miss?es devem se harmonizar com esse perfil constitucional. Uma inquieta??o causada pela atua??o tradicional e pouco refletida do Minist?rio P?blico como ?rg?o agente na defesa de direitos individuais indispon?veis foi a v?lvula propulsora para este trabalho. A pesquisa desenvolvida tem por objetivo analisar a atua??o do Minist?rio P?blico como ?rg?o agente na defesa de direitos individuais indispon?veis em busca de uma interpreta??o que compatibilize essa miss?o com o seu perfil constitucional na Constitui??o Federal de 1988. Para tanto adota como metodologia a pesquisa bibliogr?fica, incluindo, legisla??o, doutrina e decis?es judiciais. O estudo apresenta o percurso hist?rico transposto pelo Minist?rio P?blico at? os dias atuais e os influxos do modelo estatal adotado na defini??o do seu perfil e da sua voca??o na atual ordem constitucional. Destaca o Minist?rio P?blico como garantia institucional e institui??o integrante do sistema de justi?a, ressaltando a relev?ncia da sua atua??o como ?rg?o de controle e como ?rg?o agente de transforma??es sociais. Resgata a sua tradicional atua??o como ?rg?o agente na defesa de direitos individuais indispon?veis na primeira Lei Org?nica Nacional do Minist?rio P?blico Estadual de 1981. Enfatiza a institucionaliza??o da Defensoria P?blica apenas em 1988 e destaca o seu genu?no perfil constitucional e voca??o ? defesa do indiv?duo. Num cotejo entre as duas institui??es e os respectivos perfis constitucionais, discute sobreposi??o de atua??es entre elas na defesa de direitos individuais indispon?veis, para concluir que a atua??o do Minist?rio P?blico como ?rg?o agente na defesa de direitos individuais indispon?veis ? residual e que somente se compatibiliza com o seu perfil constitucional de agente de controle e de transforma??es sociais quando inexistir ou for ineficaz a Defensoria P?blica ou a advocacia privada.
The Public Prosecution Service received a peculiar and solid design by the Federal Constitution of 1988 as a control institution and social change agent, in a way that the constitutional tasks harmonize with this constitutional profile. A concern caused by the traditional and little reflected operation of the Public Prosecution Service as the entity agent in defense unalienable individual rights was the driving valve for this work. Thus, the developed research aims to analyze the performance of the Public Prosecution Service as the agent entity in defense of unalienable individual rights in search for an interpretation that achieves compatibility with this mission and its constitutional profile in the Federal Constitution of 1988. For this purpose it adopts as methodology bibliographic research, including legislation, doctrine and judicial decisions. The study, then, presents a historic route transposed by the Public Prosecution Service until the present day and the outlines of the state model adopted in their profile defining and their calling in the current constitutional order. It highlights the Public Prosecution Service as a guarantee institution and institution integrant of the justice system, giving emphasis to the importance of its performance as a control agency and as a social change agent. It recovers its traditional performance as agent in defense of unalienable individual rights in the first National Organic Law of the State Prosecutor of 1981. It emphasizes the institutionalization of the Public Defender occurred only in 1988 and highlights their genuine constitutional profile and vocation to the defense of the individual. In a comparison between the two institutions and their respective constitutional profiles, it discusses overlapping of their performances in defense of unalienable individual rights, to conclude that the actions of the Public Prosecution Service as agent in defense of unalienable individual rights is residual and that only harmonizes with its constitutional profile of control and social change agent when the Public Defender or private law do not exist or be ineffective.
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Nieto, Bobadilla Maria Susana. "A new antibacterial agent : in vitro bacteriological characterization and in vitro/in vivo performance of sustained release formulations." Thesis, Lille 2, 2015. http://www.theses.fr/2015LIL2S018/document.
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Introduction : La résistance aux antibiotiques est une menace de santé, il est donc urgent de développer de nouveaux antibactériens. CIN-102, est un nouvel antibactérien développé par une industrie pharmaceutique. Il possède un large-spectre d’action et aucune résistance n’a été développée jusqu’à présent. Parmi les possibles applications thérapeutiques du CIN-102, notre recherche s’est focalisée sur les Maladies Inflammatoires Chroniques de l’Intestin (MICIs). Plusieurs facteurs contribuent à l’étiologie des MICIs. Les bactéries intestinales jouent un rôle important dans ces maladies et une augmentation de la charge bactérienne est observée pendant l’inflammation. Les objectifs de ce travail ont été : la caractérisation de l’activité antibactérienne du CIN-102, l’analyse de l’activité antibactérienne des agents anti-inflammatoires et antibiotiques utilisés en cas de MICI et la fabrication des formulations à ciblage colique pour le CIN-102. Le but est de diminuer la charge bactérienne colique par moyen du CIN-102 et améliorer, de cette façon, l’état de l’inflammation.Méthodes: La Concentration Minimale Inhibitrice (CMI), l’Effet Post-Antibiotique (EPA) et le temps de réduction logarithmique du CIN-102 ont été déterminés pour des bactéries aérobies et anaérobies. Les interactions entre le CIN-102 et des antibiotiques sur le marché ont été évaluées. La CMI de l’acide 5-aminosalicylique (5-ASA), GED-0507-34 et antibiotiques ont été déterminées pour des souches anaérobiques. Par rapport aux formulations à libération prolongée : des mini-granules contenant le CIN-102 ont été fabriqués par extrusion-sphéronisation puis pelliculés avec des mélanges de polymères insolubles et polysaccharides. Parallèlement, des mini-comprimés de CIN-102 ont été fabriqués par compression directe. La libération du CIN-102 in vitro, a été mesurée dans des milieux simulant l’estomac et l’intestin grêle. L’efficacité des systèmes à libération prolongée a été évaluée dans un modèle de colite chez la souris. Des prélèvements de selles et tissus coliques ont été soumis à des études bactériologiques. L’expression des cytokines a été mesurée à partir des tissus coliques.Résultats et discussion : Le large-spectre d’action du CIN-102 a été confirmé. Toutes les souches ont été inhibées par le CIN-102. CIN-102 présente un EPA et un temps de réduction logarithmique court. Il présente des interactions synergiques avec plusieurs antibiotiques, notamment la colistine et les aminoglycosides, en les rendant actifs contre des bactéries multirésistantes. Ces résultats in vitro doivent être poursuivis par des études chez l’animal. Des agents anti-inflammatoires utilisés contre les MICIs ne possèdent pas d’activité antibactérienne. Par ailleurs, les antibiotiques testés n’ont pas un large-spectre d’action contre des bactéries anaérobies généralement retrouvées dans l’intestin. Cela confirme le besoin d’un antibiotique à large spectre capable de réduire des charges bactériennes en cas d’inflammation. Dans ce but, des formulations capables de délivrer CIN-102 au niveau du colon ont été étudiées. La libération du CIN-102 des mini-granules pelliculés et mini-comprimés a été réduite dans des milieux simulant l’estomac et l’intestin grêle. Des souris atteintes de colite et traitées avec les formulations du CIN-102 ont eu une diminution des diarrhées et du sang dans les selles. Les concentrations d’entérobactéries adhérentes à la muqueuse colique et dans les selles ont été significativement réduites chez les souris traitées avec le CIN-102. Ces résultats montrent que ces formulations peuvent délivrer CIN-102 dans le tractus gastro-intestinal inferieur, et que la diminution d’entérobactéries semble réduire les symptômes de la colite.Conclusion : CIN-102 est un nouvel antibactérien a large-spectre et des formulations à libération prolongée peuvent délivrer cet agent dans le colon, diminuant la charge d’entérobactéries qui pourrait influencer l’état de l’inflammationIntroduction: Antibiotic resistance is a major threat to public health and new antimicrobials are urgently needed. CIN-102, a new antibacterial agent which resembles cinnamon essential oils composition, was developed by a pharmaceutical company. CIN-102 had a broad-spectrum of action and resistance was not developed until now. Between all the possible therapeutic applications for CIN-102, a future utilization against Inflammatory Bowel Diseases (IBD) is aimed. IBD are chronic pathologies with a multifactorial etiology. In this context, enteric bacteria are well-known to have an important role, and higher bacterial concentrations are found in the intestine under inflammatory conditions. The objectives of this work were: to characterize the bacteriological activity of CIN-102, to analyze the bacteriological activity of anti-inflammatory agents and antibiotics used in IBD and to fabricate multiparticulate CIN-102 pharmaceutical forms for colonic targeted drug release. The idea is to use CIN-102 to reduce colonic bacterial loads and improve the state of intestinal inflammation. Methodology: The Minimal Inhibitory Concentration (MIC), the Post-Antibiotic Effect (PAE) and the logarithmic reduction time of CIN-102 were determined against several aerobic and anaerobic bacterial isolates. The interactions between CIN-102 and commercialized antibiotics were evaluated. The MIC of 5-aminosalicilyc acid, GED-0507-34 and antibiotics were determined for anaerobic bacterial isolates. Concerning sustained released formulations: CIN-102 pellet cores were fabricated by extrusion-spheronization and subsequently coated with blends of insoluble polymers and natural biodegradable polysaccharides. CIN-102 mini-tablets were fabricated by direct compression. In vitro drug released was measured in simulated gastric and intestinal fluid. The efficacy of best sustained release formulations was assessed in a murine model of colitis. Samples of luminal contents and sections of the colon were taken to perform a bacteriological analysis. Expression of cytokines was analyzed from colonic tissues.Results and discussion: The broad-spectrum activity of CIN-102 was confirmed. All aerobic and anaerobic strains were susceptible to CIN-102. Furthermore, CIN-102 had an important PAE and exerted a fast logarithmic reduction of bacterial inoculum. It interacts synergistically with several antibiotics, mostly with colistin and aminoglycosides, restoring the antibiotic activity against multi-resistant bacteria. The promising in vitro activity of CIN-102 has to be further confirmed by animal studies. Anti-inflammatory agents used against IBD were not provided of antibacterial activity and neither of the antibiotics tested possessed a broad-spectrum of action against anaerobic isolates commonly found in the intestine. These results confirm the need of a broad-spectrum antibiotic capable of reduced increased bacterial loads during inflammation. Following this aim, oral dosage forms able to deliver CIN-102 into the colon were studied. Concerning the sustained release forms, in vitro CIN-102 release from coated-pellets and mini-tablets was reduced in simulated gastric and intestinal fluids. Colitic mice treated with CIN-102 controlled release formulations had less diarrhea and bloody stools. Furthermore, the concentrations of enterobacteria in colonic tissue and stool were significantly reduced in CIN-102 treated mice. These results show that sustained release formulations can effectively deliver CIN-102 in the lower part of the gastrointestinal tract, where the reduction of enterobacteria seems to ameliorate the course of colitis.Conclusion: CIN-102 is novel broad-spectrum antibacterial and sustained release formulations can effectively deliver this agent into the colon, reducing bacterial loads which might influence the state of intestinal inflammation
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Bertola, Marinês Refosco Severo. "Cardiac-M: sistema de apoio para identificação de riscos em pacientes crônicos cardíacos." Universidade do Vale do Rio dos Sinos, 2011. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4701.
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As mudanças sociais, econômicas e a alteração nos hábitos alimentares são algumas das razões para o crescimento do número de pacientes portadores de doenças crônicas, principalmente doenças cardíacas. Com isso, é iminente a necessidade de um acompanhamento mais severo de forma a proporcionar a estes pacientes qualidade de vida, reduzindo, se possível, o nível de mortalidade de doentes cardíacos. O trabalho desenvolvido prevê atender essa necessidade através do projeto de um sistema multiagente proativo, envolvendo aplicação de técnicas de mineração de dados para recuperação e classificação de dados do prontuário médico do paciente de forma a identificar uma possibilidade de agravamento da doença.
The social, economic and dietary habit changes are some reasons for the growing number of patients with chronic diseases, especially heart disease. Thus, it is the imminent need for stricter monitoring to assure patients’ quality of life by reducing, if possible, the level of mortality of cardiac patients. This work tries to meet this need by designing a proactive multiagent system and applying data mining techniques for data classification and retrieval of patient medical records to identify a possible worsening of the disease.
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Siqueira, Lia de Souza. "O Minist??rio P??blico como agente de promo????o de seguran??a p??blica." Universidade Cat??lica de Bras??lia, 2016. https://bdtd.ucb.br:8443/jspui/handle/tede/2224.
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This paper aims to discuss the role of the Brazilian Minist??rio P??blico in promoting public safety through judicial and non-judicial instruments. The importance of the issue may be perceived by the criminal rates in Brazil, one of the highest among nations worldwide. Public safety is a fundamental positive right established in Brazilian Constitution. Therefore, it has to be guaranteed by the government without excess or insufficiency by means of a public policy that has to enable incapacitation and prevention, putting together law enforcement, police and tools conceived by the broken windows theory, situational crime prevention, routine activity approach, community policing and community-oriented policing. Those strategies lead to better results when planned within policy cycle approach. In Brazil, prosecutors have key role in public safety, since they can apply judicial and non-judicial instruments to guarantee this fundamental right. Prosecutors are important to break the inertia of Judicial branch and ask the Courts to control the acts of the Legislative and Executive branches. The collective approach of actions filed by Prosecutors is also essential because they can control the government budget and ask the Courts to enforce instruments of situational crime prevention, routine activity approach and community policing. One of the most significant points discussed is the limits of Courts to control the public policies, as well as the criteria used in judicial review, such as minimum core, under reserve of the possibilities clause and proportionality. The non-judicial instruments used by prosecutors are important to impact the origins of the public safety policy and provide legitimacy to government proceeding. Prosecutors are present in every stage of the policy cycletherefore they can encourage communities to participate and coordinate all actors of the network of public safety policy in order to ensure efficiency in facing criminality and grant wellness to Brazilian people.
Este trabalho tem como objetivo discutir o papel do Minist??rio P??blico brasileiro como agente de promo????o de seguran??a p??blica, por meio dos mecanismos judiciais e extrajudiciais. A import??ncia do tema ?? percebida pelos ??ndices de criminalidade no Brasil, um dos mais altos do mundo. A seguran??a p??blica ?? direito fundamental prestacional estabelecido pela Constitui????o da Rep??blica de 1988. Por isso, ela deve ser garantida pelo Estado, sem excessos ou insufici??ncias, por meio de pol??ticas p??blicas que devem conjugar repress??o e preven????o, aliando o sistema de justi??a criminal, a pol??cia e mecanismos concebidos pela teoria das janelas quebradas, pela preven????o situacional, teoria das atividades rotineiras, policiamento comunit??rio e policiamento voltado a solu????o de problemas. Essas estrat??gias levam a melhores resultados se planejadas por meio do ciclo de pol??ticas p??blicas. No Brasil, o Minist??rio P??blico tem papel central na seguran??a p??blica, pois tem ?? sua disposi????o mecanismos judiciais e extrajudiciais para garantir esse direito fundamental. O Minist??rio P??blico ?? importante para quebrar a in??rcia do Poder Judici??rio para que este controle os atos dos Poderes Legislativo e Executivo. As a????es coletivas ajuizadas pelos membros da institui????o s??o essenciais para o controle do or??amento p??blico e para a aplica????o dos instrumentos da preven????o situacional, atividades rotineiras e policiamento comunit??rio. Um dos pontos mais significativos estudados s??o os limites do Judici??rio no controle de pol??ticas p??blicas, bem como os crit??rios usados nas decis??es judiciais, tais como o m??nimo existencial, a reserva do poss??vel e a proporcionalidade. Os instrumentos extrajudiciais usados pelo Minist??rio P??blico, por sua vez, s??o relevantes para impactar a pr??pria origem da pol??tica p??blica e promover legitimidade para as a????es estatais. Os membros da institui????o est??o presentes em todas as fases do ciclo da pol??tica p??blica, por isso podem encorajar a comunidade para participar, al??m de coordenar os atores da rede das pol??ticas de seguran??a p??blica, a fim de garantir efici??ncia no enfrentamento da criminalidade e garantir o bem-estar da popula????o brasileira.
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Santos, Jary Alves dos. "Controle informatizado de fluxo e hist?rico de trabalho de conclus?o de curso." UFVJM, 2017. http://acervo.ufvjm.edu.br/jspui/handle/1/1787.
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A elabora??o de artigos ou trabalhos cient?ficos ? uma constante no cotidiano de um estudante de gradua??o. Uma das principais produ??es cient?ficas ? o Trabalho de Conclus?o de Curso (TCC), o qual em alguns casos, figura como requisito parcial ? obten??o do t?tulo de gradua??o. A viv?ncia no ambiente acad?mico mostra que, na ocasi?o de elabora??o de TCC, alguns erros podem ser cometidos e, nesse processo, h? v?rias nuances que devem ser observadas. O desenvolvimento de um sistema Web de acompanhamento, hist?rico e controle de fluxo da produ??o pode representar um excelente recurso de aux?lio na rela??o de cumplicidade que h? entre orientadores e orientandos. Esta disserta??o se prop?e a desenvolver um sistema Web para essa finalidade, denominado ?Academic DUX?. Este ? um Agente Inteligente de Software que realiza verifica??es pr?vias de trabalho, compara??o entre vers?es, coment?rios e acompanhamento dos mesmos atrav?s de uma linha de tempo. A automatiza??o do processo de acompanhamento dos trabalhos, utilizando-se metodologia relacionada ? Minera??o de Textos, proporciona o aprendizado atrav?s dos acertos e erros dos orientandos, bem como as principais orienta??es dos professores.
Disserta??o (Mestrado Profissional) ? Programa de P?s-Gradua??o em Tecnologia, Sa?de e Sociedade, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2017.
The elaboration of articles or scientific works is a constant in the daily life of a undergraduate student. One the main scientific productions the Course Competition Assignment (CCA) which, in some cases, is a partial requirement to obtain the degree. The experience in the academic environment shows that at the time of writing CCA some errors can be committed, and in this process there are several nuances that must be observed. The development of a Web monitoring, historical and production flow control system can be an excellent aid resource in the relationship of complicity between supervisors and undergraduates. This dissertation proposes to develop a Web system for this purpose, called "Academic DUX". This is a Intelligent Agents Software that performs pre-work checks, comparison of versions, comments, and tracking them through a timeline. The automation of the monitoring works process, using a methodology related to the Texting Mining, provides learning through the correct answers and errors of the undergraduate as well as the main teacher?s orientations.
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Manito, Alex Renan Arrifano. "Modelagem do controle e avaliação de sistemas híbridos de geração e minirredes de distribuição de energia elétrica." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/106/106131/tde-01082018-093141/.
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Recentemente, muitas mudanças vêm ocorrendo na forma como a energia elétrica é gerada e distribuída, criando com isso oportunidades de utilizar os recursos disponíveis in loco de forma mais eficiente, atuando juntamente com sistemas centralizados convencionais, para o atendimento das necessidades energéticas. Neste contexto, as minirredes de energia são consideradas pontos chaves para melhorar a confiabilidade e a qualidade da energia, aumentar a eficiência do sistema elétrico como um todo, viabilizar aos consumidores finais a possibilidade de uma certa independência da rede e uma participação mais ativa no mercado de energia elétrica. No entanto, a aplicação de tais topologias ainda não superou todas as barreiras para que todos os benefícios possam ser apreciados. Há ainda perguntas a serem respondidas sobre como lidar com as especificidades e os aspectos operacionais de minirredes, tanto em operação normal quanto em operação anômala, que são fundamentais para a sustentabilidade de longo prazo dos sistemas. Este trabalho discute aspectos relacionados à operação de minirredes, tanto em sistemas isolados quanto em sistemas conectados à rede da concessionária. No caso de sistemas isolados, a abordagem leva em consideração os riscos associados aos projetos voltados para eletrificação rural e discute questões não restritas ao projeto inicial, mas também à operação destes tipos de sistemas. No caso de sistemas conectados, são discutidas tendências relacionadas às topologias de utilização destes sistemas para operação conjunta com a rede elétrica. Um algoritmo para controle de minirredes em diferentes níveis hierárquicos é proposto. Este algoritmo serve como base para o controle da plataforma de interação de agentes distribuídos, montada no Laboratório de Sistemas Fotovoltaicos da Universidade de São Paulo para testes em equipamentos reais e para a formação de recursos humanos.Recently, many changes are taking place in the way energy is generated and distributed, thus creating opportunities to utilize the resources available on site more efficiently, working along with conventional centralized systems, to meet energy needs. In this context, mini-grids are considered key points to improve the reliability and power quality, increase the efficiency of the electric system as a whole, enable end consumers to have a certain independence from the grid and a more active participation in the electricity market. However, the application of such topologies has not yet overcome all barriers so that all their benefits can be appreciated. There are still questions to be answered on how to deal with the specificities and operational aspects of micro-grids in both normal and anomalous operation, which are fundamental to the long-term sustainability of power systems. This work discusses aspects related to micro-grids in both isolated and grid-connected operation modes. In the case of isolated systems, the approach takes into account the risks associated with rural electrification projects and discusses issues not restricted to the design, but also to the operation of these types of systems. In the case of grid-connected systems, trends related to the topologies to be used for joint operation with the power grid are discussed. An algorithm to control micro-grids at different hierarchical levels is proposed. This algorithm serves as a basis for the control of the platform for the interaction of distributed agents assembled at the Laboratório de Sistemas Fotovoltaicos of the Universidade de São Paulo to be used for tests on real equipment and for capacity building.
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Machado, Leonardo Ribeiro. "ATTuneDB: uma ferramenta de apoio à sintonia de SGBDs baseada na identificação do regime de operação através de modelo probabilístico." Universidade do Vale do Rio dos Sinos, 2011. http://www.repositorio.jesuita.org.br/handle/UNISINOS/5051.
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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
O desempenho de um SGBD é um fator crítico a ser considerado durante a sua utilização. Diversas técnicas são atualmente empregadas na tentativa de aumentar o desempenho de um SGBD. Esta pesquisa integra tecnologias de agentes e de mineração de dados para a criação de modelos probabilísticos (bayesianos) de decisão aptos a auxiliar no processo de melhoria de desempenho de um SGBD. Este modelo é usado, então, como base da ferramenta ATTuneDB de sintonia de SGBD. A partir da carga real de operação de um SGBD PostgreSQL, a ferramenta utiliza este modelo para identificar o regime de trabalho do SGBD e encontrar o melhor conjunto de valores para os parâmetros deste SGBD, apoiando o administrador do SGBD na tarefa de otimizar o desempenho deste.
The performance of a DBMS is a critical factor to be considered while using it. Several techniques are currently employed in an attempt to increase the performance of a DBMS. This research integrates agent technologies and data mining for building probabilistic decision models (Bayesian) able to assist the performance improvement process of a DBMS. This model is used to build the ATTuneDB DBMS fine-tuning tool. Receiving information about the real workload being submitted to a PostgreSQL DBMS, and using the probabilistic model, the tool is able to identify the type of the workload, and find the best set of value for the parameters of this DBMS, thus, supporting the DBA on the task of optimizing the DBMS performance.
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Basaran, Dilek. "Design, Production And Development Of Mini/micro Robots To Form A Cooperative Colony." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1058874/index.pdf.
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Design, production and development of individual mini/micro robots and then formation of their cooperative colony are the main topics of this thesis. The produced mini/micro robots are as small and light as possible. In addition, they are multifunctional (programmable), flexible and intelligent while maintaining a very low production cost. Mini/micro robots, called MinT-DB series are able to communicate with each other to work cooperatively. Moreover, these robots can be the basis for the future studies considering the application of artificial intelligence and modeling of live colonies in the nature.
Traditional design, production and assembly techniques have been used widely up to now. However, none of them were related with the mini/micro scale. Therefore, this thesis can help people in understanding the difficulties of the design, production, and assembly of the mini/micro systems under the light of the reported science.
In this thesis, instead of examining a specific application field of mini/micro robotic systems, a technology demonstrative work is carried out. Therefore, this thesis contributes to the mini/micro robotic technology, which is also very new and popular in today’
s world, with the robots having the dimensions of 7.5x6x6 cm.