M.S. Theses
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Browsing M.S. Theses by Subject "Ambient intelligence."
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Item CAREACT: an adaptive and context aware framework for anomaly detection in ambient assisted living(Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.) Özen, Mustafa Ozan.; Ersoy, Cem.In this thesis, we analyzed current trends and challenges in ambient assisted living environments and deduced that there is a need for a monitoring system that incorporates existing telemonitoring concepts to activities of daily living recognition systems in a way that is easy to integrate, requires little or no maintenance after deployment and is easy to modify whenever needed. To address this need, we present CAREACT, an ambient assisted living system which monitors daily lives of inhabitants for anomaly detection in real-time with a set of features supported by state of the art literature, that have not been combined in a single system up to date: interoperability, rule based pattern detection, adaptivity and analyzability. CAREACT is built on complex event processing technology which has builtin support for rule based pattern detection and interoperability that works in real-time under heavy load. In this work, we also present a new methodology, called future events, that changes the paradigm of processing the time windows within patterns in a way that it takes constant time to process time windows regardless of their size. We implemented CAREACT and integrated it with one of the existing activities of daily living systems in our testbed environment to show that the proposed architecture is applicable and indeed it increases the efficiency of the anomaly detection process.Item Contract based cooperation for ambient intelligence : proposing, entering and executing contracts autonomously(Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.) Aydemir, Fatma Başak.; Yolum, Pınar.As we are introduced with the more complex, high technology devices, the need to smoothly integrate these new devices to our lives grows. In order to satisfy this need, a new kind of pervasive and ubiquitous intelligence, Ambient Intelligence, is suggested. Ambient Intelligence (AmI) describes environments that sense and react to the humans in time to help improve their living quality. Software agents are thus important in realizing such environments. While existing work has focused on individual agent’s reactions, more interesting applications will take place when agents cooperate to provide composed services to humans. When cooperation is required, the environment needs mechanisms that regulate agent’s interactions but also respect their autonomy. Accordingly, this thesis develops a contract-based approach for offering composed services. The system consists of two ontologies that keep knowledge about the environment and the domain, agents that represent the user, and the agents that provide services. Similar to the real life, individual services are usually offered by different agents. Agents that are going to take part in the contracts are selected according to their capabilities. At runtime, selected agents autonomously decide whether they enter contracts. The decision is based on the knowledge which is described in the ontologies and the internal state of the agent. After the agents agree on the contracts, they then act to fulfill their contracts. We apply this multiagent system on an intelligent kitchen domain and show how commitments can be used to realize cooperation. We study our application on realistic scenarios.Item Developing a fitness coach robot for elderly people in assisted living environments(Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.) Görer, Binnur.; Akın, H. Levent.Ambient assisted living is a concept that summarizes the effort to create intelligent technologies to help elderly people to live without constant supervision by costly health personnel, as well as to improve their quality of life by offering solutions to typical problems related with age and its physical and social implications. The primary goal in this endeavor is to develop a preventive approach of health care for elderly, sometimes summarized by the concept of ‘successful aging’, where the subject retains and sustains his physical and mental well-being. Both physical and mental health require regular activity (possibly in the form of regular exercises) for this purpose. In this study, we aim to develop a fitness coach robot which can help elderly people in their daily physical activities. The overall scenario includes two different parts. First, a human supervisor performs fitness motions and the robot will learn them by analyzing the behavior of the demonstrator. In the second part the robot performs the learned gestures to the best of its abilities, and while monitoring the elderly subject with an RGB-D camera, provides verbal guidance to complement the visual display, correcting gestures on the fly. The gestures were selected from an actual training programme at an elderly care home in order to create a real world scenario. A humanoid robot, Nao, is used for this study and a 3D depth sensor, Microsoft Kinect sensor is utilized to analyze human gestures.Item Use of goals for creating and enacting dynamic contracts in ambient intelligence(Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.) Işıksal, Ayça.; Yolum, Pınar.Ambient Intelligence (AmI) systems support everyday lives of humans by sensing and reacting to the environment when necessary. Devices of the AmI world cooperate with each other to achieve a common task by using the information they capture from the environment and through their internal knowledge. They make their decisions based on their reasoning processes and strategies. To increase the satisfaction of the user, several types of applications cooperate with each other such as audio, visual and health care related applications. This cooperation is hidden from the user. This thesis proposes to view AmI devices as autonomous agents with di erent capabilities and goals and the entire AmI system as a distributed multiagent system. Goals refer to the states that the agent desires to achieve. The proactive behavior of the AmI devices are modeled with the goals of the agents. Each agent within the system is motivated to satisfy its goals. The agent selects actions that will have positive consequences on satisfying its goals. The agent decides and initiates relevant actions to satisfy its goals one by one. If the agent has the capability to achieve its goal, it just executes it. If the agent's capabilities are inadequate for satisfying its goal, then it asks for help from other agents. Agents use contracts to interact with each other, which are regulated with a commitment-based methodology. We provide algorithms and reasoning rules to help agents create and respond to the commitments in di erent situations. We apply our approach on an intelligent kitchen domain consisting of smart kitchen devices such as a co ee maker, a refrigerator and a user agent representing the resident of the kitchen. We demonstrate how our approach can accommodate several realistic cooperation scenarios.