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Floor plan construction via anonymous Wi-Fi signal fragment matching

ICIC Express Letters, Part B: Applications 2014年第4期5卷 981-987页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Tang, Xiaomou Wang, Zhuoran Chongqing Key Lab of Mobile Communications Technology School of Communication and Information Engineering Chongqing University of Posts and Telecommunications No. 2 Chongwen Road Nan'an Dist. Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh PA 15260 United States

Floor plan construction is the basis for fingerprint-based localization and people's activity learning, especially in the environments where the geometrical map is not available or does not exist. To this end, we propose a new received signal strength (RSS) fragment matching approach to identify the location points (LPs) in floor plan as the overlapped pieces between the fragments. Then, by means of the Smith-Waterman alignment, each LP can be recognized as a winning path in scoring space. Finally, we use the Allen's interval algebra to assemble the time-stamped LPs into a floor plan in target area. The experiments with the actual Wi-Fi RSS measurements recorded in HKUST campus demonstrate that our proposed approach performs better than the conventional K-means clustering and spectral clustering in floor plan construction. © 2014 ICIC International.

关键词： Algebra

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RETRACTED ARTICLE: Scenario analysis for low carbon development in Nigeria

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Cogent engineering 2016年第1期3卷 Article: 1218818页

作者： Emodi, Nnaemeka Vincent Birku, Reta Entele Marc Nwosu Ogbuagu Chinenye Comfort Emodi Adaeze Saratu Augusta Emodi Okoro, Felix Chimezirim College of Business Law and Governance James Cook University P.O. Box 6811 Cairns 4870 Queensland Australia Department of Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul 151-744 South Korea Department of Chemistry College of Physical and Applied Sciences Michael Okpara University of Agriculture Umudike Nigeria Department of Computer Science College of Physical and Applied Science Michael Okpara University of Agriculture Umudike Nigeria Faculty of Law Abia State University Uturu Nigeria Department of Vocational Teacher Education University of Nigeria Nsukka Road Nsukka 410001 Nigeria

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Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016 : Cadiz, KY, USA. 8-10 April 2016

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BMC bioinformatics 2016年第SUPPL 10期17卷 297页

作者： Eric C. Rouchka Julia H. Chariker Benjamin J. Harrison Juw Won Park Xueyuan Cao Stanley Pounds Susana Raimondi James Downing Raul Ribeiro Jeffery Rubnitz Jatinder Lamba Bernie J. Daigle Deborah Burgess Stephanie Gehrlich John C. Carmen Nicholas Johnson Chandrakanth Emani Kalpani De Silva Michael P. Heaton Theodore S. Kalbfleisch Teeradache Viangteeravat Rahul Mudunuri Oluwaseun Ajayi Fatih Şen Eunice Y. Huang Mohammad Mohebbi Luaire Florian Douglas J. Jackson John F. Naber AKM Sabbir Sally R. Ellingson Yuping Lu Charles A Phillips Michael A. Langston Rahul K. Sevakula Raghuveer Thirukovalluru Nishchal K. Verma Yan Cui Mohammed Sayed Jing Wang Qi Liu Yu Shyr Xiaofei Zhang Naresh Prodduturi Gavin R. Oliver Diane Grill Jie Na Jeanette Eckel-Passow Eric W. Klee Michael M. Goodin Mark Farman Harrison Inocencio Chanyong Jang Jerzy W. Jaromczyk Neil Moore Kelly Sovacool Leon Dent Mike Izban Sammed Mandape Shruti Sakhare Siddharth Pratap Dana Marshall M Scotty DePriest James N. MacLeod Hanady Adam Ethan Blandford Joel Campbell Joshua Castlen Brittany Dixon Ginger Gilbert Aaron Hall Philip Kreisle Jessica Lasher Bethany Oakes Allison Speer Maximilian Valentine Naga Satya V. Rao Nagisetty Rony Jose Robert Rooney David Hains Department of Computer Engineering and Computer Science University of Louisville Duthie Center for Engineering Louisville USA Kentucky Biomedical Research Infrastructure (KBRIN) Bioinformatics Core Louisville USA Department of Psychological and Brain Sciences University of Louisville Louisville USA Department of Anatomical Sciences and Neurobiology University of Louisville Louisville USA Department of Biostatistics St. Jude Children’s Research Hospital Memphis USA Department of Pathology St. Jude Children’s Research Hospital Memphis USA Department of Oncology St. Jude Children’s Research Hospital Memphis USA Department of Pharmacotherapy and Translational Research College of Pharmacy University of Florida Gainesville USA Department of Biological Sciences University of Memphis Memphis USA Department of Computer Science University of Memphis Memphis USA Department of Computer Science Northern Kentucky University Highland Heights USA Department of Biological Sciences Northern Kentucky University Highland Heights USA Department of Biology Western Kentucky University Bowling Green USA Interdisciplinary Studies Program: Specialization in Bioinformatics University of Louisville Louisville USA United States Department of Agriculture Agricultural Research Service United States Meat Animal Research Center Clay Center USA Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville Louisville USA Biomedical Informatics Core Children’s Foundation Research Institute Memphis USA Department of Pediatrics University of Tennessee Health Science Center Memphis USA Department of Electrical and Computer Engineering University of Louisville Louisville USA Department of Computer Science University of Kentucky Lexington USA Division of Biomedical Informatics College of Medicine University of Kentucky Lexington USA Department of Electrical Engineering and Computer Science University of Tennessee Knoxville USA Department of Electrical E

I1 Proceedings of the Fifteenth Annual UT- KBRIN Bioinformatics Summit 2016 Eric C. Rouchka, Julia H. Chariker, Benjamin J. Harrison, Juw Won Park P1 CC-PROMISE: Projection onto the Most Interesting Statistical Evidence (PROMISE) with Canonical Correlation to integrate gene expression and methylation data with multiple pharmacologic and clinical endpoints Xueyuan Cao, Stanley Pounds, Susana Raimondi, James Downing, Raul Ribeiro, Jeffery Rubnitz, Jatinder Lamba P2 Integration of microRNA-mRNA interaction networks with gene expression data to increase experimental power Bernie J Daigle, Jr. P3 Designing and writing software for in silico subtractive hybridization of large eukaryotic genomes Deborah Burgess, Stephanie Gehrlich, John C Carmen P4 Tracking the molecular evolution of Pax gene Nicholas Johnson; Chandrakanth Emani P5 Identifying genetic differences in thermally dimorphic and state specific fungi using in silico genomic comparison Stephanie Gehrlich, Deborah Burgess, John C Carmen P6 Identification of conserved genomic regions and variation therein amongst Cetartiodactyla species using next generation sequencing Kalpani De Silva, Michael P Heaton, Theodore S Kalbfleisch P7 Mining physiological data to identify patients with similar medical events and phenotypes Teeradache Viangteeravat, Rahul Mudunuri, Oluwaseun Ajayi, Fatih Şen, Eunice Y Huang P8 Smart brief for home health monitoring Mohammad Mohebbi, Luaire Florian, Douglas J Jackson, John F Naber P9 Side-effect term matching for computational adverse drug reaction predictions AKM Sabbir, Sally R Ellingson P10 Enrichment vs robustness: A comparison of transcriptomic data clustering metrics Yuping Lu, Charles A Phillips, Michael A Langston P11 Deep neural networks for transcriptome-based cancer classification Rahul K Sevakula, Raghuveer Thirukovalluru, Nishchal K. Verma, Yan Cui P12 Motif discovery using K-means clustering Mohammed Sayed, Juw Won Park P13 Large scale discovery of active enhancers from nasce

关键词： True Negative Differential Expression UCSC Genome Browser Laboratory Information Management System Biomedical Informatics

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Photonic sensors as imaging tools for industrial monitoring

Photonic sensors as imaging tools for industrial monitoring

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Optical Sensors, 2014

作者： Martelli, Cicero Da Silva, Marco J. Da Silva, Jean C.C. Morales, Rigoberto E.M. Da Silva, Erlon V. Zamarreño, Carlos R. Baroncini, Virginia Mezzadri, Felipe Patyk, Rodolfo Dutra, Guilherme Bazzo, João Vendruscolo, Tiago P. Graduate Program in Electrical and Computer Engineering Federal University of Technology - Paraná Curitiba PR80230-901 Brazil Department of Mechanical Engineering Federal University of Technology - Paraná Curitiba PR80230-901 Brazil Tractebel Energia S/A Quedas do Iguaçu PR Brazil Electrical and Electronic Engineering Department Public University of Navarra Pamplona NA Spain

Single point, quasi-distributed and distributed optical (fiber) sensors are demonstrated to be robust and reliable tools for one, two and three dimensional imaging of physical phenomena in industrial monitoring. Real ... 详细信息

ISBN: (纸本)9781557528209

关键词： Fiber Bragg gratings Image sensors Sensors Spatial resolution Temperature sensors Three dimensional imaging Fiber Bragg gratings (060.3735) Optical sensing and sensors (280.4788) Flow diagnostics (280.2490)

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The upregulation of Myb and Peg3 may mediate EGCG inhibition effect on mouse lung adenocarcinoma

The upregulation of Myb and Peg3 may mediate EGCG inhibition...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Hong Zhou Joseph Manthey Ekaterina Lioutikova William Yang Kenji Yoshigoe Mary Qu Yang Hong Wang Department of Mathematical Sciences School of Health and Natural Sciences University of Saint Joseph Department of Computer Science George Washington Donaghey College of Engineering and Information Technology University of Arkansas at Little Rock and University of Arkansas for Medical Sciences Middle South Bioinformatics Center and Joint Bioinformatics Ph.D. Program George Washington Donaghey College of Engineering and Information Technology University of Arkansas at Little Rock and University of Arkansas for Medical Sciences Susan L. Cullman Laboratory for Cancer Research Department of Chemical Biology and Center for Cancer Prevention Research Ernest Mario School of Pharmacy Rutgers The State University of New Jersey

ISBN: (纸本)9781467368001

The antioxidant activity of green tea polyphenol epigallocatechin-3-gallate (EGCG) has been found to be critical in inhibiting carcinogenesis. In our previous study, we identified a set of protein coding genes and microRNAs whose expressions were significantly modulated in response to the EGCG treatment in tobacco carcinogen-induced lung adenocarcinoma in A/J mice. In this study, we further conducted some statistical analysis on our microarray data and employed The Cancer Genome Atlas (TCGA) lung adenocarcinoma datasets as additional control. We postulated that if a gene mediates EGCG's cancer inhibition, its expression level change caused by EGCG should be opposite to what occurred in the carcinogenesis. With this assumption, we identified Myb and Peg3 as the primary genes involved in the cancer inhibitory activities of EGCG.

关键词： EGCG Myb Peg3 Lung adenocarcinoma

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Design and numerical analysis of surface plasmon-enhanced fin Ge-Si light-emitting diode

Design and numerical analysis of surface plasmon-enhanced fi...

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作者： Jeong, Intae Kwon, Jooseong Kim, Changsoon Park, Young June Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 151-742 Korea Republic of Department of Electrical and Computer Engineering School of Engineering Seoul National University Seoul 151-747 Korea Republic of Advanced Institutes of Convergence Technology Suwon Gyeonggi 443-270 Korea Republic of

Heavily-doped strained germanium (Ge) can emit light efficiently thanks to its pseudo direct band gap characteristic. This makes Ge a good candidate for on-chip monolithic light sources in silicon (Si) photonics systems. We propose fin-shaped Ge-Si heterojunction lightemitting diode (LED) with metal gates, which can enhance light emission by coupling with surface plasmon resonant modes and modulate light emission from the LED. We verify these two aspects through numerical analysis and device simulations. We develop the method to find the optimal device structure and specific device dimensions to maximize the spontaneous emission rate enhancement. Also we find that the LED can be modulated by a gate voltage bias. © 2014 Optical Society of America.

关键词： Surface plasmons

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Dirichlet tessellation for high-dimensional RSS clustering in Wi-Fi environment

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ICIC Express Letters 2014年第7期8卷 2043-2048页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Tang, Xiaomou Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications No. 2 Chongwen Road Nanan District Chongqing 400065 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Graduate Telecommunication and Networking Program School of Information Science University of Pittsburgh PA 15260 United States

The received signal strength (RSS) clustering has played a significant role in site surveying and data pre-processing for the location tracking in Wi-Fi environment. To this end, this paper presents a novel clustering algorithm to cluster the raw RSS vectors with large similarities in both the RSS and physical locations together. The clusters of RSS vectors are determined by the cells which are generated by the Dirichlet tessellation in a transformed low-dimensional space. Our algorithm consists of two steps. We first use the Laplacian embedding to transform the raw measurements into a low-dimensional space, while preserving the RSS and location neighborhood relations. Second, after the seeds of cells are carefully selected, we will tessellate the low-dimensional space by the Dirichlet cells to obtain the clustering results. The experiments conducted in an actual public Wi-Fi environment prove that our algorithm can achieve the smallest cluster scattering in both the RSS and locations compared with the existing affinity propagation clustering, K-means clustering and binary support vector classifier (SVC) algorithms. © 2014 ISSN 1881-803X.

关键词： Wi-Fi

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Flexible terahertz metamaterials for frequency selective surfaces

Flexible terahertz metamaterials for frequency selective sur...

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2013 Annual Conference on Experimental and Applied Mechanics

作者： Deibel, J.A. Jones, H.R. Fosnight, A. Shaver, R. Best, E. Langley, D. Starman, L.A. Coutu, R.A. Department of Physics and Engineering Physics Program Wright State University 3640 Colonel Glenn Highway Dayton OH 45435 United States Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB 2950 Hobson Way Dayton OH 45433 United States

ISBN: (纸本)9783319007793

While recent years have seen great advances in the generation, detection, and application of terahertz frequency radiation, this region of the electromagnetic spectrum still suffers from a lack of efficient and effective frequency specific optical components. While such terahertz devices do exist, they are often limited by the materials they are based on and a lack of frequency selectivity and tunability. Metamaterial devices can provide frequency resonant behavior in the form of transmissive and reflective filters. Such a frequency selective surface can also be made tunable via the use of a flexible substrate. In this talk, we will highlight work involving the design, fabrication, and characterization of terahertz metamaterial devices based on flexible substrates. Finite element method simulations have been utilized to design a split-ring resonator (SRR) structure on a flexible SU8 polymer substrate with a targeted 250 GHz resonant response. Multiple configurations of SRR arrays have been fabricated on free standing SU8 substrates. These devices have subsequently been characterized using terahertz time-domain spectroscopy and imaging systems. The metamaterial devices have shown selective transmission and reflection over a narrow range of frequencies near the targeted resonance at 250 GHz. Details of both the design, fabrication, and characterization will be discussed. © The Society for Experimental Mechanics, Inc. 2014.

关键词： Frequency selective surfaces

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Multi-radio over Fiber Architecture for Road Vehicle Communication in VANETs

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Procedia computer Science 2014年 32卷 1022-1029页

作者： H.H.R. Sherazi I. Raza M.H. Chaudary S.A. Hussain M.H. Raza Department of Computer Science COMSATS Institute of Information Technology Lahore 54000 Pakistan Department of Computer Science & IT Lahore Leeds University Lahore Pakistan Internetworking Program Faculty of Engineering Dalhousie University Canada

Vehicular Ad-hoc Networks (VANET) are employing heterogeneous technologies now a days to meet the increasing demands of Intelligent Transportation System (ITS) applications such as enriched multimedia, video conferencing, gaming and online collaboration. Deployment and maintenance cost for infrastructures are also a major concern. This work proposes a framework, capable of catering multiple technologies simultaneously (such as local area network, wide area networks and cellular networks), that deploys wired and wireless integrated technologies to exploit the advantages of both. Therefore, it offers the architecture based on radio over fiber technology to meet the future requirements of high data rate for Road Vehicle Communication (RVC) in VANETs and it comes up with the most important and perhaps desperately needed feature of ‘Future technology Support’ yielding very high data rates support. Several traditionally deployed architectures are striving to come up with the future needs but due to their various limitations they were unable to attain their expected outcomes. The proposed RoF based architecture justifies its need inducing a true value and powerful features to dramatically enhance the overall performance of the entire system. Several evaluation parameters have been chosen that clearly present the strength of proposed RoF framework and prove that RoF framework is the better option for the service providers in the area of ITS applications.

关键词： VANET intelligent transportation systems road vehicle communication radio-over-fiber radio access unit central site

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Using Stratified Attribute Tracking (SAT) Diagrams for Learning Analytics

Using Stratified Attribute Tracking (SAT) Diagrams for Learn...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Rwitajit Majumdar Sridhar Iyer Inter-Disciplinary Program in Educational Technology Indian Institute of Technology Bombay Department of Computer Science and Engineering Indian Institute of Technology Bombay

We have created a visual representation called Stratified Attribute Tracking (SAT) Diagram to explicate trends that are otherwise implicit in learning analytics data. SAT Diagram is a unified graph that enables tracking individual attribute values in a dataset and stratifying them according to criteria set by the researcher. SAT diagram represents the transition of samples between strata across attributes. In this paper we introduce the SAT diagram and illustrate how to generate, interpret and analyze them. We believe the process of SAT diagram generation would enable exploring deeper research questions on learning data.

关键词： Educational technology Aggregates Visualization Data visualization Data mining Conferences Market research

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