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The Lighthouse Alarm and Locator trial - A pilot study

Technology and Health Care 2007年第3期15卷 203-212页

作者： Melander-Wikman, A. Jansson, M. Hallberg, J. Mörtberg, C. Gard, G. Department of Health Sciences Luleå University of Technology Luleå Sweden Department of Business Administration and Social Sciences Luleå University of Technology Luleå Sweden Department of Computer Science and Electrical Engineering Luleå University of Technology Luleå Sweden Department of Informatics University of Oslo Oslo Norway University of Umeå Sweden Department of Human Work Sciences Luleå University of Technology Luleå Sweden Luleå University of Technology Department of Health Science SE 971 87 Luleå Sweden

An important factor for health is the possibility to be active and mobile. To make this possible various kinds of support are needed. Integrating geographical information systems technology and user experiences is important in the development of more user-friendly positioning devices. The Lighthouse Alarm and Locator trial aimed to test a new mobile alarm system with additional functionality such as positioning and monitoring of vital signs which can be used regardless of location (in hospital, at home). The system was tested by elderly persons from a pensioner organisation and home care personnel answered up on the alarms. After the tests qualitative interviews were performed with the two groups. The results showed that their experiences of the new mobile alarm system could be described in three main categories: to be supervised, to feel safe and to be mobile. These categories formed a theme: Positioning - an ethical dilemma. The clients' mobility was perceived to increase. The personnel did not think that positioning was ethical but the clients (elderly) did. © 2007 - IOS Press and the authors. All rights reserved.

关键词： Home care Mobility Positioning Safety alarm

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On Cognitive informatics Foundations of Knowledge and Formal Knowledge Systems

On Cognitive Informatics Foundations of Knowledge and Formal...

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IEEE International Conference on Cognitive informatics

作者： Yingxu Wang International Center for Cognitive Informatics (ICfCI) Theoretical and Empirical Software Engineering Research Centre Department of Electrical and Computer Engineering Schulich Schools of Engineering University of Calgary Calgary AB Canada

Knowledge is acquired information in forms of data, behavior, experience, and skills retained in memory through learning. This paper presents the nature of human knowledge, its mathematical model, and its manipulation by concept algebra. The taxonomy of knowledge and its hierarchical abstraction model of knowledge are investigated. Mathematical models of knowledge and its manipulation by concept algebra are developed. The theory of knowledge acquisition and the cognitive model of knowledge spaces are formally described covering the effort and complexity models of knowledge creation and acquisition. The framework of formalized knowledge systems is developed based on the analyses of formal and empirical knowledge.

关键词： Cognitive informatics Knowledge based systems Knowledge engineering Humans Mathematical model Algebra Taxonomy Data engineering Knowledge acquisition Power engineering and energy

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Cognitive informatics Foundations of Nature and Machine Intelligence

Cognitive Informatics Foundations of Nature and Machine Inte...

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IEEE International Conference on Cognitive informatics

Intelligence is a driving force or an ability to acquire and use knowledge and skills, or to inference in problem solving. This keynote lecture describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intelligence. A formal model of intelligence is developed known as the generic intelligence mode (GIM), which provides a foundation to explain the mechanisms of advanced natural intelligence such as thinking, learning, and inferences. A measurement framework of intelligent capability of humans and systems is presented in the forms of intelligent quotient, intelligent equivalence, and intelligent metrics. On the basis of GIM model and theories, the compatibility of nature and machine intelligence is revealed, which forms a theoretical foundation for rigorous study in machine intelligence, AI, and intelligent systems.

关键词： Cognitive informatics Machine intelligence Learning systems Humans Problem-solving Taxonomy Information analysis Brain modeling Artificial intelligence Intelligent systems

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Autolearner: An Autonomic Machine Learning System Based on Concept Algebra

Autolearner: An Autonomic Machine Learning System Based on C...

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IEEE International Conference on Cognitive informatics

作者： Kai Hu Yingxu Wang International Center for Cognitive Informatics (ICfCI) Theoretical and Empirical Software Engineering Research Center Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

On the basis of the basic research in cognitive informatics, particularly the development of concept algebra, real-time process algebra (RTPA), the layered reference model of the brain (LRMB), and the object-attribute-relation (OAR) model for internal knowledge representation, the revilement of the cognitive process of learning and formal knowledge manipulation are enabled. This paper presents an autonomic learning system known as the AutoLearner. Mimics of knowledge organization, updating, and navigation inside the brain are formally modeled according to the OAR model using concept algebra and RTPA. A machine learning system and a cognitive simulator are developed to visualize interactions between thinking, learning, and the internal knowledge representation. A case study is presented to demonstrate the design and implementation of the AutoLearner system.

关键词： Learning systems Algebra Brain modeling Knowledge representation Machine learning Cognitive informatics Knowledge based systems OWL Knowledge engineering Navigation

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The Theoretical Framework and Cognitive Process of Learning

The Theoretical Framework and Cognitive Process of Learning

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IEEE International Conference on Cognitive informatics

Learning is a fundamental cognitive process of human intelligence. According to cognitive informatics, learning as a collective term can be classified into the categories of transitive, objective, and complex learning. This paper presents a theoretical framework of learning and explains its cognitive processes. The neural informatics foundations of learning, particularly the hierarchical neural cluster (HNC) model and the object-attribute-relation (OAR) model, are explored. The taxonomy and theory of learning are described based on concept algebra. The mathematical models of learning are systematically established for the categories of the transitive, objective, and complex learning. On the basis of the fundamental theories of learning, the cognitive processes of learning are formally described using real-time process algebra (RTPA). The theoretical framework established in this work can be applied to both human and machine learning systems.

关键词： Cognitive informatics Algebra Problem-solving Humans Taxonomy Mathematical model Learning systems Psychology Brain modeling Software engineering

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Formal Descriptions of a Set of Meta Cognitive Processes of the Brain

Formal Descriptions of a Set of Meta Cognitive Processes of ...

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IEEE International Conference on Cognitive informatics

作者： Yingxu Wang International Center for Cognitive Informatics (ICfCI) Theoretical and Empirical Software Engineering Research Center Department of Electrical and Computer Engineering Schulich Schools of Engineering University of Calgary Calgary AB Canada

A set of fundamental cognitive processes of the brain is formally described in this paper. The cognitive processes defined at the meta cognitive level of the layered reference mode of the brain (LRMB) encompass those of object identification, concept establishment, categorization, comparison, qualification, quantification, selection, and search . Real-time process algebra (RTPA) is adopted as the denotational mathematical means for rigorous modeling and describing the meta cognitive processes. The mathematical model of each meta process is created and modeled in RTPA. All cognitive models and processes are explained on the basis of the object- attribute-relation (OAR) model for internal information and knowledge representation and manipulation.

关键词： Mathematical model Cognitive informatics Qualifications Algebra Brain modeling Knowledge representation Mathematics Software engineering Drives Neurons

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Parameter estimation of a DC/DC Buck converter using a continuous time model

Parameter estimation of a DC/DC Buck converter using a conti...

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2007 European Conference on Power Electronics and Applications, EPE

作者： Buiatti, Gustavo Malagoni Amaral, Acacio Manuel Raposo Cardoso, Antonio João Marques Alstom Transport Rue Docteur Guinier 65600 Semeac France Department of Informatics and Systems Polytechnic Institute of Coimbra ISEC Rua Pedro Nunes-Quinta da Nora P-3030-199 Coimbra Portugal Department of Electrical and Computer Engineering University of Coimbra Polo II - Pinhal de Marrocos P-3030-290 Coimbra Portugal

ISBN: (纸本)9075815115

In this paper, a novel online technique for estimating the parameters of a DC/DC Buck converter through a continuous time model is proposed. Standard least mean squares algorithm is applied among other formulations, taking into account only the non conduction state during a single switching cycle. The problem of derivative calculation of the needed voltage and current signals is solved by polynomial interpolation.

关键词： Parameter estimation

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ESR Estimation Method for DC/DC Converters Through Simplified Regression Models

ESR Estimation Method for DC/DC Converters Through Simplifie...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： G. M. Buiatti A. M. R. Amaral A.J. C. Cardoso Alstom Transport Semeac France Department of Informatics and Systems Polytechnic Institute of Coimbra Coimbra Portugal FCTUC / IT Department Electrical & Computer Engineering University of Coimbra Coimbra Portugal

In this paper, simplified regression models useful for parameter extraction are obtained from the hybrid models of Buck and Boost DC/DC converters. These models are used in the ESR estimation of output filter capacitors present in the same circuits for diagnostic purposes. Advantages obtained through the simplified models are outlined regarding the original complete regression models obtained from the respective hybrid models. The simplified and the original parameter estimation methods are both applied and compared between them regarding accuracy, data processing time and reliability of the implemented algorithms. Results obtained from simulations and experimental results are presented.

关键词： Paramagnetic resonance DC-DC power converters Mathematical model Circuits Parameter estimation Power electronics Power system modeling Power system dynamics Topology Power system reliability

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Optimal synchronization frequency for dynamic pipelined computations on heterogeneous systems

Optimal synchronization frequency for dynamic pipelined comp...

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IEEE International Conference on Cluster Computing

作者： F. M. Ciorba I. Riakiotakis T. Andronikos A. T. Chronopoulos G. Papakonstantinou School of Electrical and Computer Engineering National and Technical University of Athens Athens Greece Department of Computer Science University of Technology San Antonio TX USA Department of Informatics Ionian University Corfu Greece

In this paper we give a theoretical model for determining the synchronization frequency that minimizes the parallel execution time of loops with uniform dependencies dynamically scheduled on heterogeneous systems. Using this model we determine the synchronization frequency that minimizes the estimated parallel time. The accuracy of our method is validated through experiments on a heterogeneous cluster. The results show that the synchronization frequency minimizing the parallel time determined by our method, is very close to the synchronization frequency found experimentally.

关键词： Synchronization Pipelines Program processors Computational modeling Frequency synchronization Processor scheduling Time frequency analysis

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Parameter Estimation of a DC/DC Buck converter using a continuous time model

Parameter Estimation of a DC/DC Buck converter using a conti...

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European Conference on Power Electronics and Applications

作者： Gustavo Malagoni Buiatti Acacio Manuel Raposo Amaral Antonio Joao Marques Cardoso Alstom Transport Semeac France Department of Informatics and Systems Polytechnic Institute of Coimbra ISEC Coimbra Portugal Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal

ISBN: (纸本)9789075815115

In this paper, a novel online technique for estimating the parameters of a DC/DC buck converter through a continuous time model is proposed. Standard least mean squares algorithm is applied among other formulations, taking into account only the non conduction state during a single switching cycle. The problem of derivative calculation of the needed voltage and current signals is solved by polynomial interpolation.

关键词： Parameter estimation Buck converters Continuous time systems Capacitors Paramagnetic resonance Fault diagnosis Electronic mail Power system reliability Frequency MOSFET circuits

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