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A Deep Neural Network based Multimodal Video Recognition System for Caring

A Deep Neural Network based Multimodal Video Recognition Sys...

引用

IEEE International Conference on Human-Machine Systems

作者： Chao Yan Jiahua Xu Bastian Klopfer Andreas Nürnberger Data & Knowledge Engineering Group Faculty of Computer Science Otto von Guericke University Magdeburg Germany

ISBN: (数字)9781728158716

ISBN: (纸本)9781728158723

Home caring usually refers to taking care of the elder, the young kids and the patients at home, and this depends on both caregivers and caring systems. The system which can provide sufficient and accurate information to doctors or caregivers without a delay will bring benefits for all the persons who need to be cared and allow doctor or care givers to take right action based on the information immediately. Available corresponding products in the market mainly are some smart home devices or some medical facilities based on electroencephalo-graph (EEG), electrocardiograph (ECG) or blood pressure check, however, these parameters cannot give doctors, caregivers or family members a direct feedback. To address the problem, this paper introduces a deep learning based design - a visual recognition system developed for clinical monitoring which can supervise both the emotions and gestures of patients at the same time and give responsible persons instant and direct feedback so that the right treatment will be taken by them. This product uses a Raspberry Pi computer with its camera as hardware and implementing several deep learning models to fulfill three main functions which are: Facial Recognition, Emotion Detection and Pose Estimation onto a portable device, which enhances the utilization of the application and this brings more possibilities. Compared to theavailable products, this application emphasizes monitoring per-sons via visual analysis and gives more direct feedback all thetime instead of traditional ways which are not always timely or practical.

关键词： Faces Computational modeling Machine learning Face recognition Pose estimation Cameras Medical services

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A mobile agent framework for telecardiology

A mobile agent framework for telecardiology

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： K.-M. Chao R. Anane J. Plumley N. Godwin R.N.G. Naguib Data and Knowledge Engineering Research Group (DKERG) Coventry University UK BIOCORE Coventry University UK

It is generally recognised that telecommunications and the internet in particular are changing the way healthcare is delivered in cardiology. Current. implementations of telecardiology are often characterised by a centralised approach. Within this set-up a central system is connected to various remote sites. The central system has to keep track of the activities and of the state of these sites through constant communication with them. This scheme requires large volumes of data, particularly in the case of electrocardiograms (ECGs), to be generated in the remote sites and then to be transmitted to a central control system. This often leads to bottlenecks in communication that may adversely affect the quality of care. In this paper we propose a decentralised approach based on a combination of mobile agents (MA) and an Object Request Broker (ORB) mechanism. Its main aim is to support interoperability and to optimise the monitoring processes by reducing unnecessary communication. MAs possess a degree of autonomy that enables them to filter data on the remote site, and thus ease the load on the central monitoring system. they have the added advantage that they can be customised to meet individual needs. The ORB mechanism is incorporated in order to increase the reliability of MAs and to facilitate the integration of various ECG analysis software systems available on the market. It is expected that the proposed system will provide a framework for improved monitoring of patients and will lead therefore to better healthcare in cardiology.

关键词： Mobile agents Medical services Cardiology Electrocardiography Mobile communication Remote monitoring Internet Centralized control Communication system control Control systems

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RESP: A Computer Aided OWL REasoner Selection Process

RESP: A Computer Aided OWL REasoner Selection Process

引用

International Conference on Semantic Computing

作者： Wei Tai John Keeney Declan O'Sullivan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland

Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become inadequate with the increasing adoption of Semantic Web technologies in applications from different domains and the rapid development of OWL reasoning technologies. This work proposes RESP, a computer aided reasoner selection process designed to perform reasoner selection for different applications and so reduce the effort and communication overhead required to select the most appropriate reasoner. Preliminary evaluation results show that RESP successfully helps application developers to select the most appropriate reasoner, or at least narrow down the number of candidate reasoners to consider. Contributions of this work are two folds: (1) the design of a (relatively simple but useful) computer aided OWL reasoner selection process, and (2) the identification and discussion of a set of example application characteristics that can affect the OWL reasoner selection.

关键词： OWL Cognition Ontologies Semantics Algorithm design and analysis Bioinformatics Concrete

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Multi-agent transactions for Web-based design activities

Multi-agent transactions for Web-based design activities

引用

International Conference on Computer Supported Cooperative Work in Design

作者： M. Younas Kuo-Ming Chao R. Anane A. James Data and Knowledge Engineering Research Group (DKERG) School of Mathematical and Informaiion Sciences Coventry University UK

Web-based engineering design activities require fault tolerance and concurrent access to shared resources such as databases and Web servers. Such activities are generally dynamic, cooperative, long-lived, interactive, and non-prescriptive. We propose a new multi-agent transaction model, which is based on extended transactions and multi-agent technologies. The novelty of this model is that it automatically customises transactions to the requirements of the design activities. In addition, this model is believed to improve concurrency and fault tolerance, facilitate interaction and co-operation of participating systems involved in design activities.

关键词： Design engineering Concurrent computing Chaos Fault tolerance Transaction databases Web server Aerodynamics Fault tolerant systems Offshore installations Marine vehicles

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Neurorehabilitation System in Virtual Reality with Low-Cost BCI Devices

Neurorehabilitation System in Virtual Reality with Low-Cost ...

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IEEE International Conference on Human-Machine Systems

作者： Jiahua Xu Tung-Lung Liu Zhenglei Wu Zheng Wu Yang Li Andreas Nürnberger Data & Knowledge Engineering Group Faculty of Computer Science Otto-von-Guericke University Magdeburg Germany

ISBN: (数字)9781728158716

ISBN: (纸本)9781728158723

Brain-computer interface (BCI) has gained great attention from the public due to its ability and portability for external devices control or neuron rehabilitation using EEG from scalps. virtual reality (VR) provides users an immersive interaction environment via human-machine interfaces (HMI).This paper proposes an motor imagery based real-time control system for rehabilitation by using low-cost BCI to control a robotic arm in VR.

关键词： Electroencephalography Real-time systems Manipulators Brain-computer interfaces Training Task analysis

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Open Framework Middleware for intelligent WSN topology adaption in smart buildings

Open Framework Middleware for intelligent WSN topology adapt...

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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Rob Brennan Wei Tai Declan O'Sullivan Muhammad S. Aslam Susan Rea Dirk Pesch Knowledge and Data Engineering Group Trinity College Dublin Ireland Department of Electronic Engineering Cork Institute of Technology Ireland

Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the open framework middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a building management system (BMS) or the scheduling of network maintenance activities such as sensor battery replacement.

关键词： Middleware Intelligent structures Wireless sensor networks Smart buildings Intelligent sensors Performance analysis Network topology Energy management Monitoring Redundancy

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Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface

Multi-facet exploration of image collections with an adaptiv...

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International Joint Conference on Neural Networks (IJCNN)

作者： Sebastian Stober Christian Hentschel Andreas Nürnberger Data & Knowledge Engineering Group of the Faculty of Computer Science Otto-von-Guericke-University Magdeburg Germany

Sometimes it is not possible for a user to state a retrieval goal explicitly a priori. One common way to support such exploratory retrieval scenarios is to give an overview using a neighborhood-preserving projection of the collection onto two dimensions. However, neighborhood cannot always be preserved in the projection because of the dimensionality reduction. Further, there is usually more than one way to look at a collection of images - and diversity grows with the number of features that can be extracted. We describe an adaptive zoomable interface for exploration that addresses both problems: It makes use of a complex non-linear multi-focal zoom lens that exploits the distorted neighborhood relations introduced by the projection. We further introduce the concept of facet distances representing different aspects of image similarity. Given user-specific weightings of these aspects, the system can adapt to the user's way of exploring the collection by manipulation of the neighborhoods as well as the projection.

关键词： Measurement Visualization Feature extraction Image color analysis Indexing Lenses Nonlinear distortion

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SocialWeb Communities Executive Summary of the Dagstuhl Seminar

SocialWeb Communities Executive Summary of the Dagstuhl Semi...

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Social Web Communities 2008

作者： Alani, Harith Staab, Steffen Stumme, Gerd Address Harith Research Group ISWeb - Information Systems and Semantic Web University of Koblenz-Landau Univ.str. 1 Koblenz56016 Germany Knowledge & Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 Kassel34121 Germany

Blogs, Wikis, and Social Bookmark Tools have rapidly emerged on the Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing so without requiring any specific skills. At the moment, there exists no foundational research for these systems, and they provide only very simple structures for organising knowledge. Individual users create their own structures, but these can currently not be exploited for knowledge sharing. The objective of the seminar was to provide theoretical foundations for upcoming Web 2.0 applications and to investigate further applications that go beyond bookmark- and file-sharing. The main research question can be summarized as follows: How will current and emerging resource sharing systems support users to leverage more knowledge and power from the information they share on Web 2.0 applications? Research areas like Semantic Web, Machine Learning, Information Retrieval, Information Extraction, Social Network Analysis, Natural Language Processing, Library and Information Sciences, and Hypermedia Systems have been working for a while on these questions. In the workshop, researchers from these areas came together to assess the state of the art and to set up a road map describing the next steps towards the next generation of social software. © 2008 Dagstuhl Seminar Proceedings. All rights reserved.

关键词： Natural language processing systems

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Analysis of Social Media and Ubiquitous data 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Martin Atzmueller Andreas Hotho Markus Strohmaier Alvin Chin

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A comparison of content-based tag recommendations in folksonomy systems

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Lecture Notes in Computer Science

作者： Illig, Jens Hotho, Andreas Jäschke, Robert Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 34121 Kassel Germany Research Center L3S Appelstraße 9a 30167 Hannover Germany

ISBN: (纸本)9783642221392

Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. © 2011 Springer-Verlag.

关键词： Computers

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