DATA DRIVEN INTELLIGENT AGENT NETWORKS FOR ADAPTIVE MONITORING AND CONTROL

To analyze the characteristics and predict the dynamic behaviors of complex systems over time, comprehensive research to enable the development of systems that can intelligently adapt to the evolving conditions and infer new knowledge with algorithms that are not predesigned is crucially needed. This dissertation research studies the integration of the techniques and methodologies resulted from the fields of pattern recognition, intelligent agents, artificial immune systems, and distributed computing platforms, to create technologies that can more accurately describe and control the dynamics of real-world complex systems. The need for such technologies is emerging in manufacturing, transportation, hazard mitigation, weather and climate prediction, homeland security, and emergency response. Motivated by the ability of mobile agents to dynamically incorporate additional computational and control algorithms into executing applications, mobile agent technology is employed in this research for the adaptive sensing and monitoring in a wireless sensor network. Mobile agents are software components that can travel from one computing platform to another in a network and carry programs and data states that are needed for performing the assigned tasks. To support the generation, migration, communication, and management of mobile monitoring agents, an embeddable mobile agent system (Mobile-C) is integrated with sensor nodes. Mobile monitoring agents visit distributed sensor nodes, read real-time sensor data, and perform anomaly detection using the equipped pattern recognition algorithms. The optimal control of agents is achieved by mimicking the adaptive immune response and the application of multi-objective optimization algorithms. The mobile agent approach provides potential to reduce the communication load and energy consumption in monitoring networks. The major research work of this dissertation project includes: (1) studying effective feature extraction methods for time series measurement data; (2) investigating the impact of the feature extraction methods and dissimilarity measures on the performance of pattern recognition; (3) researching the effects of environmental factors on the performance of pattern recognition; (4) integrating an embeddable mobile agent system with wireless sensor nodes; (5) optimizing agent generation and distribution using artificial immune system concept and multi-objective algorithms; (6) applying mobile agent technology and pattern recognition algorithms for adaptive structural health monitoring and driving cycle pattern recognition; (7) developing a web-based monitoring network to enable the visualization and analysis of real-time sensor data remotely. Techniques and algorithms developed in this dissertation project will contribute to research advances in networked distributed systems operating under changing environments

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

Distributed Online Machine Learning for Mobile Care Systems

Appendix D: Wavecomm Tech Docs removed for copyright reasonsTelecare and especially Mobile Care Systems are getting more and more popular. They have two major benefits: first, they drastically improve the living standards and even health outcomes for patients. In addition, they allow significant cost savings for adult care by reducing the needs for medical staff. A common drawback of current Mobile Care Systems is that they are rather stationary in most cases and firmly installed in patients’ houses or flats, which makes them stay very near to or even in their homes. There is also an upcoming second category of Mobile Care Systems which are portable without restricting the moving space of the patients, but with the major drawback that they have either very limited computational abilities and only a rather low classification quality or, which is most frequently, they only have a very short runtime on battery and therefore indirectly restrict the freedom of moving of the patients once again. These drawbacks are inherently caused by the restricted computational resources and mainly the limitations of battery based power supply of mobile computer systems. This research investigates the application of novel Artificial Intelligence (AI) and Machine Learning (ML) techniques to improve the operation of 2 Mobile Care Systems. As a result, based on the Evolving Connectionist Systems (ECoS) paradigm, an innovative approach for a highly efficient and self-optimising distributed online machine learning algorithm called MECoS - Moving ECoS - is presented. It balances the conflicting needs of providing a highly responsive complex and distributed online learning classification algorithm by requiring only limited resources in the form of computational power and energy. This approach overcomes the drawbacks of current mobile systems and combines them with the advantages of powerful stationary approaches. The research concludes that the practical application of the presented MECoS algorithm offers substantial improvements to the problems as highlighted within this thesis

Mobile agent based distributed network management : modeling, methodologies and applications

The explosive growth of the Internet and the continued dramatic increase for all wireless services are fueling the demand for increased capacity, data rates, support of multimedia services, and support for different Quality of Services (QoS) requirements for different classes of services. Furthermore future communication networks will be strongly characterized by heterogeneity. In order to meet the objectives of instant adaptability to the users\u27 requirements and of interoperability and seamless operation within the heterogeneous networking environments, flexibility in terms of network and resource management will be a key design issue. The new emerging technology of mobile agent (MA) has arisen in the distributed programming field as a potential flexible way of managing resources of a distributed system, and is a challenging opportunity for delivering more flexible services and dealing with network programmability. This dissertation mainly focuses on: a) the design of models that provide a generic framework for the evaluation and analysis of the performance and tradeoffs of the mobile agent management paradigm; b) the development of MA based resource and network management applications. First, in order to demonstrate the use and benefits of the mobile agent based management paradigm in the network and resource management process, a commercial application of a multioperator network is introduced, and the use of agents to provide the underlying framework and structure for its implementation and deployment is investigated. Then, a general analytical model and framework for the evaluation of various network management paradigms is introduced and discussed. It is also illustrated how the developed analytical framework can be used to quantitatively evaluate the performances and tradeoffs in the various computing paradigms. Furthermore, the design tradeoffs for choosing the MA based management paradigm to develop a flexible resource management scheme in wireless networks is discussed and evaluated. The integration of an advanced bandwidth reservation mechanism with a bandwidth reconfiguration based call admission control strategy is also proposed. A framework based on the technology of mobile agents, is introduced for the efficient implementation of the proposed integrated resource and QoS management, while the achievable performance of the overall proposed management scheme is evaluated via modeling and simulation. Finally the use of a distributed cooperative scheme among the mobile agents that can be applied in the future wireless networks is proposed and demonstrated, to improve the energy consumption for the routine management processes of mobile terminals, by adopting the peer-to-peer communication concept of wireless ad-hoc networks. The performance evaluation process and the corresponding numerical results demonstrate the significant system energy savings, while several design issues and tradeoffs of the proposed scheme, such as the fairness of the mobile agents involved in the management activity, are discussed and evaluated

A multi-agent architecture for internet distributed computing system

This thesis presents the developed taxonomy of the agent-based distributed computing systems. Based on this taxonomy, a design, implementation, analysis and distribution protocol of a multi-agent architecture for internet-based distributed computing system was developed. A prototype of the designed architecture was implemented on Spider III using the IBM Aglets software development kit (ASDK 2.0) and the language Java

Development of a Proactive Fault Diagnosis for Critical System

Large-scale network environments, such as the Internet, are characterized by the presence of various devices connected at various remote locations. There is a scenario of main office connected to different branch offices in another town and cities, with the presence of central administrative system at the main office. Any problem at branches is reported to the main office, due to availability of enough resources there. However, few support tools have been developed to allow the administrators at the central office to remotely control and monitor the computers at the branches. Even, in local area network environment, diagnosing the computers on the network is always a big problem for the administrator, as he/she moves from one computer to another, running the diagnostic program and collecting report for each machine tested. This is strenuous and time consuming. To help address these problems, I have employed the concept of mobile agent to design an architecture that can remotely perform various checks and tests on computers on network, and report its findings to the server administrator as central location. This architecture was implemented with Java, using Jini lookup service to establish communication between the computers. The agent tasks were implemented in C programming language. The result of this research work shows that the use of mobile agent for remote maintenance of computers on network was found to provide an improved, efficient, and dynamic diagnostic management system. All the same, it has proven to be a substantive contributor to efficient network management

A cloud architecture to integrate a multi-agent smart parking system

Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáSmart parking systems are becoming a solution to recurring issues as the number of vehicles in traffic rises in major cities, which can be related to vehicle traffic congestion, unnecessary time spent searching for parking spots, and, consequently, environmental issues. The purpose of these systems is to help drivers who are searching for available parking spaces or who want to reserve for a specified period of time, quickly and, if possible, near the desired location. In this context, there are several modules within smart parking systems that may include cyber-physical systems, multi-agent systems, dynamic pricing and artificial intelligence. This dissertation presents the development of a smart parking system architecture, using Cloud-based technology to integrate a multiagent system into a scalable, decentralized, adaptable and safe environment. The proposed architecture was tested using, as a case study, a web system developed for the management and analysis of smart parking lots, as well as an application for mobile devices, which allows users to interact with multiple functionalities available in this system. Results obtained demonstrate that the implementation of the proposed architecture offers an efficient communication between users who use parking resources and the multi-agent system responsible for the autonomy and intelligence of the parking system.Os sistemas inteligentes de estacionamento estão se tornando uma solução para problemas recorrentes à medida que aumenta o número de veículos em trânsito nas grandes cidades, os quais podem estar relacionados ao congestionamento no tráfego de veículos, tempo desnecessário gasto na busca por vagas e, consequentemente, questões ambientais. O objetivo desses sistemas é auxiliar os motoristas que buscam por vagas disponíveis ou que desejam reservar por determinado período de tempo, de forma rápida e, se possível, próximo ao local desejado. Neste contexto, existem vários módulos dentro dos sistemas inteligentes de estacionamento que podem incluir sistemas ciberfísicos, sistemas multi-agentes, precificação dinâmica e inteligência artificial. Esta dissertação apresenta o desenvolvimento de uma arquitetura para sistemas inteligentes de estacionamento, utilizando tecnologia baseada em Nuvem para integrar um sistema multi-agentes em um ambiente escalável, descentralizado, adaptável e seguro. A arquitetura proposta foi testada utilizando, como um caso de estudo, um sistema web desenvolvido para gestão e análise de estacionamentos inteligentes, bem como uma aplicação para dispositivos móveis, que permite ao usuário interagir com as múltiplas funcionalidades disponibilizadas neste sistema. Resultados obtidos demonstram que a implementação da arquitetura proposta oferece uma comunicação eficiente entre usuários que utilizam os recursos e o sistema multi-agentes responsável pela autonomia e inteligência de um sistema de estacionamento

Perspectives and approaches for the internet of things

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de ComputadoresThis thesis was developed based on a scenario in which a CEO of a certain company asked the author to conduct an exploratory work evaluating the potential opportunities and limitations of this emerging area described as the future of the Internet, the Internet of Things (IoT). The objective is thus to provide the reader with a wide view of the vital points for the implementation and exploitation of the IoT, a technology that promises to deliver a new and wider range of applications to the society. In this subject there is a need to gather and organize information produced by several researchers and contributors. Due to the fact of being a new area and researchers work independently of each other, the work is scattered and inconsistencies can be found among different projects and publications. As such, in a first stage some definitions are provided and an attempt to clarify concepts is made. To support and emphasize the exponential growth of IoT, a brief historical overview is provided to the reader. This overview is based on the new trends and expectations that arise every day through news, potential businesses and also in important tools such as Google Trends. Several examples of applications in the context of the IoT, illustrate the benefits, not only in terms of society, but also for business opportunities, safety, and well-being. The main areas of interest to achieve the IoT such as: hardware, software, modeling, methods of connection, security and integration are studied in this work, in order to provide some insight into current strong and weak points. As the Internet of Things become a matter of large interest, various research groups are active in exploring and organizing projects in this area. Some of these projects, namely the ones considered the most important, are also presented in this thesis. Taking into account the facts surrounding this new technology, it becomes quite important to bring them together, clarifying them and trying to open new perspectives for further studies and improvements. Finally, in order to allow a practical evaluation of the technology, a prototype is developed around the connection of an intelligent object – a small mobile robot – to the Internet. A set of conclusions and future work directions are then presented which take into account the findings of the bibliographic analysis as well as the acquired experience with the implementation of the prototype

Collaborative trails in e-learning environments

This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future