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Monitoring Elder's Living Activity Using Ambient and Body Sensor Network in smart Home

Monitoring Elder's Living Activity Using Ambient and Body Se...

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IEEE international conference on Systems, Man, and Cybernetics (SMC)

作者： Chen, Ya-Hung Tsai, Ming-Je Fu, Li-Chen Chen, Chia-Hui Wu, Chao-Lin Zeng, Yi-Chong NTU Dept Comp Sci & Informat Engn Taipei Taiwan NTU Dept Nursing Taipei Taiwan Intel NTU Connected Context Comp Ctr Taipei Taiwan Inst Informat Ind Taipei Taiwan

ISBN: (纸本)9781479986965

The high development of medicine causes the world's population aging quickly. To resolve the problem with limited medical resources, constant monitoring of elders' activity of daily living is important. We propose an activity recognition system for smart home, so elders can live alone and their children can monitor their parents' living activity to achieve the concept of "Aging in Place". The living activity monitoring model is powerful to recognize meaningful activities by using both ambient and wearable sensors. It's feasible to deploy in the real living environment because it's a non-parametric learning model. Elders need less effort to label activity in training part, and the model may have chance to find some special activities that the elders did not consider in the past. We demonstrate the living activity monitoring model is feasible to be deployed in a living home with high accuracy performance of the activity recognition result.

关键词： Activity Recognition Non-parametric Learning Model Ambient intelligent Wearable computing Activity of Daily Living Internet of Things Ubiquitous computing Aging in Place Tele-healthcare

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Monitoring Patients with Mental Disorders 9

Monitoring Patients with Mental Disorders

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9th international conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Moore, Philip Thomas, Andrew Qassem, Tarik Bessis, Nik Hu, Bin Lanzhou Univ Sch Informat Sci & Engn Lanzhou Peoples R China Univ Birmingham Birmingham W Midlands England Univ Warwick Warwick Med Sch Coventry W Midlands England Univ Derby Distributed & Intelligent Syst Res Grp Derby England

ISBN: (纸本)9781479988730

Mental disorders impose significant socio-economic and geo-political challenges which, if not addressed, have the potential to overwhelm the ability of healthcare systems globally to accommodate the growing demands both in human and resource management terms. From a treatment perspective there is a need to implement multi-modal systems where patients can be diagnosed, treated, and monitored. Such systems must incorporate triage and treatment capabilities in both hospital settings with monitoring in the community. This paper considers the practical challenges in realising the goal of achieving the effective monitoring of patients with mental disorders in smart-Psychiatric Intensive Care Units and in the community. Illustrative scenarios are presented. We conclude that effective patient monitoring will provide benefits for all stakeholders in the management of mental disorders.

关键词： Patient Monitoring Mental Disorders Sensor Technologies Big data analytics Psychometric Scales

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Increased Safety of data Transmission for "smart" Applications in the intelligent Transport Systems 10th

Increased Safety of Data Transmission for "Smart" Applicatio...

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10th international conference on Dependability and Complex Systems (DepCoS-RELCOMEX)

作者： Kamenchenko, Sergey Grakovski, Alexander Transport & Telecommun Inst LV-1019 Riga Latvia

ISBN: (纸本)9783319192161;9783319192154

The problem of measuring vehicle's weight-in-motion (WIM) is one of the most important research topics in the field of transport telematics. It is important not only for development of intelligent systems used for planning and cargo fleet managing, but also for control of the legal use of transport infrastructure, for road surface protection from early destruction and for safety support on roads. data protection plays one of the crucial role in such kind of systems as data transmitted over internet network can be not only intercepted and disclosed, but also rigged and be used as a tool for attack on your equipment or system. Traditional data protection methods are increasingly becoming an easier barrier for implementing a successful hacker attack, but time for breaking existing encryption algorithms, which recently have had a high cryptographic strength, is gradually decreasing thus opening the door for developers to create new or upgrading existing encryption algorithms, whose characteristics will be able to withstand modern hacker's threats.

关键词： WIM fibre-optic pressure sensors involutory matrix matrix ecryption

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Ten Unsolved Problems with the Internet of Things

Ten Unsolved Problems with the Internet of Things

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international conference on Cyberworlds (CW)

作者： Earnshaw, R. A. de Silva, M. Excell, P. S. Glyndwr Univ Creat Ind Wrexham Wales Glyndwr Univ Commun Wrexham Wales RCP21 Pontefract England

ISBN: (纸本)9781467394031

It is estimated that by 2020 that the Internet of Things with embedded and wearable computing will have a major impact on society and be providing beneficial services in a wide variety of applications. It has already accomplished some cost savings in operations and increases in asset efficiency. Increased connectivity and improved safety, security, and reliability are expected to increase potential value in a range of applications from healthcare to transportation. As much of the technology is embedded and invisible it can have the role of a smart assistant working away autonomously and unobtrusively in the background. However, automatic monitoring of activities brings increased potential invasion of personal spaces and personal data. There are significant issues in a number of areas which still have to be addressed in order to ensure safe, reliable and trustworthy systems. A prototype funded by the UK Technology Strategy Board demonstrates the value and advantages of business to business collaboration via the Internet. It also emphasizes the benefits of connectivity and its contribution to sustainability.

关键词： embedded systems implanted devices real-time monitoring big data trust security privacy latency open standards interoperability visual analytics predictive analytics business to business collaboration

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iKaaS data Modeling: A data Model for Community Services and Environment Monitoring in smart City 12

iKaaS Data Modeling: A Data Model for Community Services and...

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IEEE international conference on Autonomic computing

作者： Hashimoto, Kazuo Yamada, Keiji Tabata, Kenichi Oda, Michio Suganuma, Takuo Rahim, Abdur Vlacheas, Panagiotis Stavroulaki, Vera Kelaidonis, Dimitrios Georgakopoulos, Andreas Waseda Univ Ctr Res Strategy Tokyo Japan Kokusai Kogyo Co Ltd Tokyo Japan Tohoku Univ Cyber Sci Ctr Sendai Miyagi Japan Create Net Trento Italy WINGS ICT Solut Athens Greece

ISBN: (纸本)9781467369718

intelligent Knowledge as a Service (iKaaS) is an ambitious project aiming at integrating sensor management using Internet of Things (IoT) and cloud services by employing sensor data. The platform design covers self-healing functions based on self-awareness as well as basic functions such as inter-cloud, security/privacy management, and devices and data management. From the viewpoint of application development, ontology sharing is the most important to integrate services. This paper, the first step towards ontology sharing, defines the iKaaS data model as one that integrates data models used in all applications in the project. The data defined in the iKaaS data model is converted into RDF format and stored in the RDF database. The reasoning mechanism in semantic web allows the semantic integration of data and applications. The iKaaS project is developing a prototype community service, town management and healthcare, in Tagonishi's smart City. Presenting the iKaaS data model for these said services, this paper emphasizes the necessity of higher contextual awareness to achieve the goal of a better-fitted personalization for the individual.

关键词： smart City Sensor Network Community Service CityGML data Model Context-Awareness

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Big data analytics and visualization with spatio-temporal correlations for traffic accidents 1

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15th international conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Fan, Xiaoliang He, Baoqin Wang, Cheng Li, Jonathan Cheng, Ming Huang, Huaqiang Liu, Xiao Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University Xiamen361000 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai200062 China School of Information Technology Deakin University MelbourneVIC3125 Australia

ISBN: (数字)9783319271224

ISBN: (纸本)9783319271217

Big data analytics for traffic accidents is a hot topic and has significant values for a smart and safe traffic in the city. Based on the massive traffic accident data from October 2014 to March 2015 in Xiamen, China, we propose a novel accident occurrences analytics method in both spatial and temporal dimensions to predict when and where an accident with a specific crash type will occur consequentially by whom. Firstly, we analyze and visualize accident occurrences in both temporal and spatial view. Second, we illustrate spatio-temporal visualization results through two case studies in multiple road segments, and the impact of weather on crash types. These findings of accident occurrences analysis and visualization would not only help traffic police department implement instant personnel assignments among simultaneous accidents, but also inform individual drivers about accident-prone sections and the time span which requires their most attention. © Springer international Publishing Switzerland 2015.

关键词： Visualization

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9th international conference on Ubiquitous computing and Ambient Intelligence, UCAmI 2015

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9th international conference on Ubiquitous computing and Ambient Intelligence, UCAmI 2015

ISBN: (纸本)9783319264004

The proceedings contain 47 papers. The special focus in this conference is on Sensing, Processing, and Using Environmental Information. The topics include: A new approach to indoor localization;a mobile application as an unobtrusive tool for behavioural mapping in public spaces;a top-down design approach for an automated testing framework;generation of a partitioned dataset with single, interleave and multioccupancy daily living activities;a data analytics schema for activity recognition in smart home environments;teaching a virtual robot to perform tasks by learning from observation;facing up social activity recognition using smartphone sensors;supporting smart community decision making for self-governance with multiple views;building smart adaptable cyber-physical systems;comparative analysis of artificial hydrocarbon networks and data-driven approaches for human activity recognition;activity recognition in intelligent assistive environments through video analysis with body-angles algorithm;autonomous evaluation of interaction resource adequateness for ambient intelligence scenarios;detection of the student creative behavior based on diversity of queries;collaboration-centred cities through urban apps based on open and user-generated data;surveillance system for isolated public road transport infrastructures;its architecture for provision of advanced information services for public transport by road;detection and report of traffic lights violation using sensors and smartphones;detecting aggressive driving behavior with participatory sensing;building personalized activity recognition models with scarce labeled data based on class similarities;sign language recognition using leap motion and smart sensor design for power signal processing.

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7th KES international conference on intelligent Decision Technologies, KES-IDT 2015

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7th KES international conference on intelligent Decision Technologies, KES-IDT 2015

ISBN: (纸本)9783319198569

The proceedings contain 57 papers. The special focus in this conference is on intelligent Decision Technologies. The topics include: A cloud-based vegetable production and distribution system;capacity planning in non-uniform depth anchorages;automatic image classification for the urinoculture screening;comparing hybrid metaheuristics for the bus driver rostering problem;effective stopping rule for population-based cooperative search approach to the vehicle routing problem;a rule based framework for smart training using SEMG signal;distributed speech recognition for lighting system control;an experimental study of scenarios for the agent-based RBF network design;eye movements data processing for Ab initio military pilot training;massive-scale gaze analytics exploiting high performance computing;a simulation approach to select interoperable solutions in supply chain dyads;dealing with seasonality while forecasting urban water demand;possibilistic very fast decision tree for uncertain data streams;detection of variations in holter ECG recordings based on dynamic cluster analysis;a theoretical framework for trusted communication;design requirements to integrate eye trackers in simulation environments;human friendly associative classifiers for early childhood caries;QOS-aware web service composition using quantum inspired particle swarm optimization;distance-based ensemble online classifier with kernel clustering;towards a new approach for an effective querying of distributed databases;the eye tracking methods in user interfaces assessment;using non-calibrated eye movement data to enhance human computer interfaces and a study on composition of elements for AHP.

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Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-based Processing: Opportunities and Challenges

Health Monitoring and Management Using Internet-of-Things (I...

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12th IEEE international conference on Services computing (SCC)

作者： Hassanalieragh, Moeen Page, Alex Soyata, Tolga Sharma, Gaurav Aktas, Mehmet Mateos, Gonzalo Kantarci, Burak Andreescu, Silvana Univ Rochester Dept ECE 601 Elmwood Ave Rochester NY 14627 USA Univ Rochester URMC Rochester NY 14627 USA Clarkson Univ Dept ECE Potsdam NY 13699 USA Clarkson Univ Chem & BioM Sci Potsdam NY 13699 USA

ISBN: (纸本)9781467372817

Among the panoply of applications enabled by the Internet of Things (IoT), smart and connected health care is a particularly important one. Networked sensors, either worn on the body or embedded in our living environments, make possible the gathering of rich information indicative of our physical and mental health. Captured on a continual basis, aggregated, and effectively mined, such information can bring about a positive transformative change in the health care landscape. In particular, the availability of data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent processing algorithms can: (a) facilitate an evolution in the practice of medicine, from the current post facto diagnose-and-treat reactive paradigm, to a proactive framework for prognosis of diseases at an incipient stage, coupled with prevention, cure, and overall management of health instead of disease, (b) enable personalization of treatment and management options targeted particularly to the specific circumstances and needs of the individual, and (c) help reduce the cost of health care while simultaneously improving outcomes. In this paper, we highlight the opportunities and challenges for IoT in realizing this vision of the future of health care.

关键词： remote health monitoring IoT visualization analytics

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intelligent computing and Applications: Proceedings of the international conference on ICA, 22-24 December 2014 1

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丛书名： Advances in intelligent Systems and computing 343

2015年

作者： Durbadal Mandal, Rajib Kar, Swagatam Das, Bijaya Ketan Panigrahi (eds.)

ISBN: (数字)9788132222682

ISBN: (纸本)9788132222675;9788132222682

The idea of the 1st international conference on intelligent computing and Applications (ICICA 2014) is to bring the Research Engineers, Scientists, Industrialists, Scholars and Students together from in and around the globe to present the on-going research activities and hence to encourage research interactions between universities and industries. The conference provides opportunities for the delegates to exchange new ideas, applications and experiences, to establish research relations and to find global partners for future collaboration. The proceedings covers latest progresses in the cutting-edge research on various research areas of Image, Language Processing, Computer Vision and Pattern Recognition, Machine Learning, data Mining and Computational Life Sciences, Management of data including Big data and analytics, Distributed and Mobile Systems including Grid and Cloud infrastructure, Information Security and Privacy, VLSI, Electronic Circuits, Power Systems, Antenna, Computational fluid dynamics & Heat transfer, intelligent Manufacturing, Signal Processing, intelligent computing, Soft computing, Bio-informatics, Bio computing, Web Security, Privacy and E-Commerce, E-governance, Service Orient Architecture, data Engineering, Open Systems, Optimization, Communications, smart wireless and sensor Networks, smart Antennae, Networking and Information security, Machine Learning, Mobile computing and Applications, Industrial Automation and MES, Cloud computing, Green IT, IT for Rural Engineering, Business computing, Business Intelligence, ICT for Education for solving hard problems, and finally to create awareness about these domains to a wider audience of practitioners.

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