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International Seminar day on diffraction

作者： Yauheni Y. Arlou dzmitry A. Tsyanenka Eugene V. Sinkevich The Faculty of Radiophysics and Computer Technologies Belarusian State University Belarus EMC R&D Laboratory Belarusian State University of Informatics and Radioelectronics Belarus

A computationally-effective model for radiation of a rectilinear twisted pair placed above a conducting screen is proposed. The model is intended for diagnostics (express analysis) of unintentional interference in large complexes of radio and electronic equipment and makes it possible to compute the worst-case amplitude-frequency characteristics for electric and magnetic fields. The model was validated by comparison with numerical simulation results in the frequency band from 10 MHz to 1.2 GHz (for balanced feed and load) and from 300 kHz to 1.2 GHz (for unbalanced terminations), the observation point was located above the screen from 4 cm to 2 m away from the center of the twisted pair in arbitrary direction.

关键词： Wires Computational modeling Numerical models Frequency control Analytical models Load modeling Atmospheric modeling

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LiFePO_4 Battery State Of Health Online Estimation Using Electric Vehicle Embedeed Incremental Capacity Analysis

LiFePO_4 Battery State Of Health Online Estimation Using Ele...

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IEEE Vehicle Power and Propulsion Conference

作者： Elie rIVIErE Pascal VENET Ali SArI Frederic MENIErE Yann BULTEL Battery Management System R&D Department EVE System (Electric Vehicles Engineering) AMPERE Laboratory UMR CNRS 5005 Universite Claude Bernard Lyon 1 Universite de Lyon Universite Grenoble Alpes LEPMI

ISBN: (纸本)9781467376389

This paper presents a fully embedded State of Health estimator for widely used lithium iron phosphate batteries. The study was done including technical and cost constraints of automotive industry. An online estimator using Incremental Capacity Analysis and a Butterworth filter is studied. Cells were aged using pure electric vehicle cycles and were monitored with an automotive Battery Management system. Using this electronic platform and considering incomplete charge/discharge cycles, a 2% accurate State of Health estimator is proposed.

关键词： State of Health Incremental Capacity Analysis LFP Lithium-ion Embedded system Online data computation

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac diego Polidori Markus reichstein Alessio ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer daniel Berveiller dave Billesbach Thomas Andrew Black Peter d Blanken Gil Bohrer Julia Boike Paul V Bolstad damien Bonal Jean-Marc Bonnefond david r Bowling rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben r Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce d Cook david Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore d'Andrea Humberto da rocha Xiaoqin dai Kenneth J davis Bruno de Cinti Agnes de Grandcourt Anne de Ligne raimundo C de Oliveira Nicolas delpierre Ankur r desai Carlos Marcelo di Bella Paul di Tommasi Han dolman Francisco domingo Gang dong Sabina dore Pierpaolo duce Eric dufrêne Allison dunn Jiří dušek derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski dalibor Janouš Wilma Jans rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Epithelioid hemangioendothelioma, an ultra-rare cancer: a consensus paper from the community of experts

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ESMO Open 2021年第3期6卷 100170-100170页

作者： Stacchiotti, S. Miah, A.B. Frezza, A.M. Messiou, C. Morosi, C. Caraceni, A. Antonescu, C.r. Bajpai, J. Baldini, E. Bauer, S. Biagini, r. Bielack, S. Blay, J.Y. Bonvalot, S. Boukovinas, I. Bovee, J.V.M.G. Boye, K. Brodowicz, T. Callegaro, d. de Alava, E. deoras-Sutliff, M. dufresne, A. Eriksson, M. Errani, C. Fedenko, A. Ferraresi, V. Ferrari, A. Fletcher, C.d.M. Garcia del Muro, X. Gelderblom, H. Gladdy, r.A. Gouin, F. Grignani, G. Gutkovich, J. Haas, r. Hindi, N. Hohenberger, P. Huang, P. Joensuu, H. Jones, r.L. Jungels, C. Kasper, B. Kawai, A. Le Cesne, A. Le Grange, F. Leithner, A. Leonard, H. Lopez Pousa, A. Martin Broto, J. Merimsky, O. Merriam, P. Miceli, r. Mir, O. Molinari, M. Montemurro, M. Oldani, G. Palmerini, E. Pantaleo, M.A. Patel, S. Piperno-Neumann, S. raut, C.P. ravi, V. razak, A.r.A. reichardt, P. rubin, B.P. rutkowski, P. Safwat, A.A. Sangalli, C. Sapisochin, G. Sbaraglia, M. Scheipl, S. Schöffski, P. Strauss, d. Strauss, S.J. Sundby Hall, K. Tap, W.d. Trama, A. Tweddle, A. van der Graaf, W.T.A. Van de Sande, M.A.J. Van Houdt, W. van Oortmerssen, G. Wagner, A.J. Wartenberg, M. Wood, J. Zaffaroni, N. Zimmermann, C. Casali, P.G. dei Tos, A.P. Gronchi, A. Adult Mesenchymal Tumor and Rare Cancer Unit Cancer Medicine Department Fondazione IRCCS Istituto Nazionale Tumori Milan Italy The Royal Marsden Hospital and The Institute of Cancer Research London UK United Kingdom Department of Radiology The Royal Marsden Hospital and The Institute of Cancer Research London UK United Kingdom Radiology Department Fondazione IRCCS Istituto Nazionale Tumori Milan Italy Palliative Care Unit Fondazione IRCCS Istituto Nazionale Tumori Milan Italy Department of Pathology Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College New York United States Medical Oncology Department Tata Memorial Centre Homi Bhabha National Institute Mumbai India Department of Radiation Oncology Dana-Farber Cancer Center/Brigham and Women's Hospital Boston United States Department of Medical Oncology West German Cancer Center Sarcoma Center University of Duisburg-Essen University Hospital Essen Germany Orthopaedic Department Regina Elena National Cancer Institute Rome Italy Klinikum Stuttgart – Olgahospital Zentrum für Kinder- Jugend- und Frauenmedizin Stuttgart Cancer Center Pädiatrische Onkologie Hämatologie Immunologie Stuttgart Germany Department of Medical Oncology Centre Leon Berard Université Claude Bernard Lyon Unicancer Lyon France Department of Surgical Oncology Institut Curie Université Paris Sciences et Lettres Paris France Nordix Athens Greece Department of Pathology Leiden University Medical Center Leiden Netherlands Department of Oncology Oslo University Hospital The Norwegian Radium Hospital Oslo Norway Medical University Vienna & General Hospital Department of Internal Medicine 1/Oncology Vienna Austria Department of Surgery Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy Institute of Biomedicine of Sevilla (IBiS) Virgen del Rocio University Hospital/CSIC/University of Sevilla/CIBERONC Seville Spain Department of Normal and Pathological Cytology and Histology School of Medicine University of S

Epithelioid hemangioendothelioma (EHE) is an ultra-rare, translocated, vascular sarcoma. EHE clinical behavior is variable, ranging from that of a low-grade malignancy to that of a high-grade sarcoma and it is marked by a high propensity for systemic involvement. No active systemic agents are currently approved specifically for EHE, which is typically refractory to the antitumor drugs used in sarcomas. The degree of uncertainty in selecting the most appropriate therapy for EHE patients and the lack of guidelines on the clinical management of the disease make the adoption of new treatments inconsistent across the world, resulting in suboptimal outcomes for many EHE patients. To address the shortcoming, a global consensus meeting was organized in december 2020 under the umbrella of the European Society for Medical Oncology (ESMO) involving >80 experts from several disciplines from Europe, North America and Asia, together with a patient representative from the EHE Group, a global, disease-specific patient advocacy group, and Sarcoma Patient EuroNet (SPAEN). The meeting was aimed at defining, by consensus, evidence-based best practices for the optimal approach to primary and metastatic EHE. The consensus achieved during that meeting is the subject of the present publication. © 2021 The Author(s)

关键词： diagnosis epithelioid hemangioendothelioma guidelines management sarcoma treatment

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Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

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Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh r. Taylor Tabassom Sedighi rupert r. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. del Monte Joshua r. Ehrlich Leon B. Ellwein david Friedman João M. Furtado Gus Gazzard ronnie George M. Elizabeth Hartnett Jost B. Jonas rim Kahloun Moncef Khairallah rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie d. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi rodrigo Anguita Abhishek Anil rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat damelash Areda reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat derese devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

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Network View and Cognitive Mechanism for Virtual Network resource Management Based Intelligent

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Chinese Journal of Electronics 2014年第3期23卷 574-578页

作者： WU Xiaochun WU Chunming WANG Bin QIAN Yaguan LAN Julong Computer Science College Zhejiang University Institute of Network and Communication Engineering Zhejiang Gongshang University National Digital Switching System Engineering & Technology R&D Center

Network virtualization has been a particularly important driving force behind the development of NGN. Finding effective ways to control self-adapting virtual networks has become a research hot spot. This paper tries to find an efficient way in combining dynamic resource sensing with traffic character and requirements in virtual network, based on that an intelligent cognition based virtual network resources management model has been put forward. We design a network topology view by coloring network topology matrix with current resources model. We present an intelligent virtual resource management mechanism based on the proposed network topology view. Experiment results illustrate that the proposed mechanism can improve VN capacity by automatic resource adjustment, which can obtain high utilization of VN resources without increasing computational expenses.

关键词： Intelligent cognition Self-adapting Virtual network

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On stochastic geometry modeling of WLAN capacity with dynamic sensitive control

On stochastic geometry modeling of WLAN capacity with dynami...

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International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

作者： Zhiwei Zhang Yunzhou Li Kaizhi Huang Chen Liang China National Digital Switching System Engineering and Technological R&D Center State Key Laboratory on Microwave and Digital Communications Tsinghua National Laboratory for Information Science and Technology Beijing China Department of Electronic Engineering Tsinghua University

ISBN: (纸本)9781467366823

recently, wireless local area networks (WLANs) have become ubiquitous. In high density WLANs, interference resulting from neighbor cells is a challenging problem which would affect the network performance. To get higher throughput, it is important to improve spatial reuse of the channels. Since transmit power control (TPC) may cause asymmetric links unless carefully designed, we demonstrate that dynamic sensitive control (dSC) can be used to improve capacity in dense environment. In order to reduce the influence of inter-cell interference and achieve fairness, an adaptive dSC scheme is proposed to provide the edge users with higher clear channel assessment (CCA) threshold. The CCA adaptation strategy for access point (AP) is presented as well, and a stochastic geometry model is introduced in this paper. Coverage probability and average throughput derived based on the analytical model are used to measure the network performance. Furthermore, simulations show that the proposed dSC method can provide considerable performance improvement compared with the existing methods.

关键词： Interference Throughput Signal to noise ratio receivers Wireless networks downlink radio transmitters

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Energy efficiency analysis of energy harvesting relay-aided cooperative networks

Energy efficiency analysis of energy harvesting relay-aided ...

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International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

ISBN: (纸本)9781467366823

Cooperative relaying is a promising technology which can improve the energy efficiency of cellular networks. However, the relays' static power consumption may cancel out the energy saved by the deployed relays. Energy harvesting (EH) technique is introduced for relay nodes in cellular networks in order to deploy flexibility and reduce the energy charge. due to the EH property, relay nodes cannot maintain a stable energy flow and keep active with a certain probability, which would degrade the benefit from relay-aided cooperative transmission. In this paper, an analytical model is proposed to investigate the energy efficiency of cellular networks aided by EH relay nodes. Meanwhile, the closed-form expressions of coverage probabilities and mean achievable rates for different links are derived. Numerical results show that EH relays bring more improvement on energy efficiency compared with non-EH relayed transmission. The influence of the density and transmit power of stations is also given through numerical simulation.

关键词： relays Energy efficiency Power demand Interference Signal to noise ratio Energy harvesting Batteries

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A second update on mapping the human genetic architecture of COVId-19

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Nature 2023年第7977期621卷 E7-E26页

作者： Masahiro Kanai Christine Stevens Benjamin M. Neale Mark daly Andrea Ganna Amy Trankiem Mary K. Balaconis Samuli ripatti Lindo Nkambul Mark J. daly Sam Bryant Matthew Solomonson Shea J. Andrews Mattia Cordioli Juha Karjalainen Juha Mehtonen Matti Pirinen Andrea Corbetta Bradley Jermy Kati donner Katja Kivinen Aarno Palotie Mari Kaunisto Kumar Veerapen Konrad J. Karczewski Alicia r. Martin Elizabeth G. Atkinson Kristin Tsuo Nikolas Baya rahul Gupta raymond K. Walters duncan S. Palmer Gopal Sarma Nathan Cheng Wenhan Lu Claire Churchhouse Jacqueline I. Goldstein daniel King Wei Zhou Cotton Seed Hilary Finucane F. Kyle Satterstrom Gita A. Pathak Akiko Iwasaki Karolina Chwialkowska Karolina Chwiałkowska Brooke N. Wolford Hajar Fauzan Ahmad Shea Andrews Kathrin Aprile von Hohenstaufen Puoti Palwende r. Boua Guillaume Butler-Laporte Celia M. T. Greenwood Bartha M. Knoppers Mark Lathrop Carmen L. Cadilla Francesca Colombo Nicole dueker Chloe Kirk Atanu Kumar dutta Yasser M. El-Sherbiny Jehan J. El-Jawhari doaa Shahin Ahmed Elzeiny Tamer A. Mansour Madonna M. Eltoukhy Attia A. S. Mohamed Sahar Esmaeeli Annika Faucon Israel Fernández Cadenas Israel Fernandez-Cadenas Laia Llucià-Carol Natalia Cullell Elena Muiño Jara Cárcel-Márquez Margherita Francescatto Laurent Francioli Lindokuhle Nkambule Jatin Arora Soumya raychaudhuri Caroline Cusick Lude Franke Macarena Fuentes Macarena Fuentes-Guajardo david Gómez Cabrero Emi N. Harry Philip Jansen József L. Szentpéteri réka Várnai Elżbieta Kaja Athanasios Kousathanas dorote Pasko Mark J. Caulfield Alex Stuckey Christopher A. Odhams Susan Walker daniel rhodes richard H. Scott Loukas Moutsianas Afshan Siddiq Peter Goddard Sally donovan Tala Zainy Fiona Maleady-Crowe Linda Todd Shahla Salehi Greg Elgar Georgia Chan Prabhu Arumugam Christine Patch Augusto rendon Tom A. Fowler Jose E. Krieger Sanjay K. Patel Audrey Lemaçon Sophie Limou Pietro Lió Eirini Marouli Charles Hinds Minttu M. Marttila Carolina Medina-Gómez Isabelle Migeotte Soumyajit Mondal Andrés Moreno-Estrada Leire Moya Tomok Broad Institute of MIT and Harvard Cambridge MA USA Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Program in Bioinformatics and Integrative Genomics Harvard Medical School Boston MA USA Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland Institute for Molecular Medicine Finland University of Helsinki Helsinki Finland Institute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland Public Health Faculty of Medicine University of Helsinki Helsinki Finland Analytic & Translational Genetics Unit Massachusetts General Hospital Boston MA USA Stanley Center for Psychiatric Research & Program in Medical and Population Genetics Cambridge UK Institute for Molecular Medicine Finland (FIMM) Univerisity of Helsinki Helsinki Finland University of California San Francisco San Francisco CA USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA Department of Psychiatry School of Medicine Yale University New Haven CT USA Veteran Affairs Connecticut Healthcare System West Haven CT USA Yale University New Haven CT USA Centre for Bioinformatics and Data Analysis Medical University of Bialystok Bialystok Poland Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA Faculty of Industrial Sciences and Technology Universiti Malaysia Pahang Pahang Malaysia Icahn School of Medicine at Mount Sinai New York NY USA Genolier Innovation Network and Hub Swiss Medical Network Genolier Healthcare Campus Genolier Switzerland Immediate Independent Multidisciplinary Med & Biotech Research Association Milan Italy Clinical Research Unit of Nanor

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Analyzing correlation of resident activities based on infrared sensors

Analyzing correlation of resident activities based on infrar...

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International Conference on Awareness Science and Technology (iCAST)

作者： Yuta Kobiyama Qiangfu Zhao Kazuki Omomo Masato Taya Department of Computer and Information Systems The University of Aizu Aizu-Wakamatsu Japan Data Mining Application Laboratory KDDI R&D Labs. Inc. Fujimino-shi Saitama Japan

Smart environment enriches resident's lives by assisting the residents in many situations via recognition of their activities. Some equipment such as video camera are often used for collecting the resident activity information. However, the data so collected also include extra information not necessary for assisting resident's lives. Many people feel uncomfortable with these privacy related data. To protect the privacy, it is better to use only simple sensors like infrared sensor, pressure sensor, and so on. data related to privacy can be greatly reduced if we use these simple sensors. On the other hand, information for recognizing the resident activities is also limited. The goal of this research is to validate the potentiality of using only simple sensors to correctly analyze resident life styles and activities. For this purpose, we conducted experiments in several ordinary Japanese families. This paper reports some results we obtained in analyzing correlations between members in the same family. results show that even if we use infrared sensor alone, it is possible to understand some normal activity patterns.

关键词： Infrared sensors Privacy Temperature sensors Wireless sensor networks Correlation relays

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