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International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)

作者： Pannathee Lervatanakittavorn Phunsak Thiennviboon Kazuhiko Fukawa TAIST Tokyo Tech ICTES program Department Kasetsart University Bangkok Thailand Kasetsart University Bangkok TH Department of Communications and Computer Engineering Tokyo Institute of Technology Tokyo Japan

Rain attenuation statistics for an average year in Nonthaburi, Thailand, in 2013-2014, are presented. Particularly, two statistics were calculated from the raw and preprocessed power-level data of the Ku-band beacon signal received at the Thaicom earth station. These statistics were compared with the ITU-R prediction models in 1999 and 2007-2013. The results show that preprocessing is necessary to generate the statistics and the ITU-R prediction models are not very accurate; the ITU-R models generally tend to underestimate the rain attenuation statistics. Specifically, these models underestimate by more than 4 dB when the availability is more than 99.9%.

关键词： Attenuation Rain Predictive models Satellites Clouds Probability

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Relation extraction using TBL with distant supervision 4

Relation extraction using TBL with distant supervision

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4th Joint International Semantic Technology Conference, JIST-WP 2014 - Co-located with the 4th Joint International Semantic Technology Conference, JIST 2014

作者： Choi, Maengsik Kim, Harksoo Program of Computer and Communications Engineering College of IT Kangwon National University Korea Republic of

Supervised machine learning methods have been widely used in rela- tion extraction that finds the relation between two named entities in a sentence. However, their disadvantages are that constructing training data is a cost and time consuming job, and the machine learning system is dependent on the do- main of the training data. To overcome these disadvantages, we construct a weakly labeled data set using distant supervision and propose a relation extrac- tion system using a transformation-based learning (TBL) method. This model showed a high F1-measure (86.57%) for the test data collected using distant su- pervision but a low F1-measure (81.93%) for gold label, due to errors in the training data collected by the distant supervision method.

关键词： Supervised learning

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Re-ranking ASR outputs for spoken sentence retrieval 4

Re-ranking ASR outputs for spoken sentence retrieval

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4th Joint International Semantic Technology Conference, JIST-WP 2014 - Co-located with the 4th Joint International Semantic Technology Conference, JIST 2014

作者： Song, Yeongkil Ahn, Hyeokju Kim, Harksoo Program of Computer and Communications Engineering College of IT Kangwon National University Korea Republic of

In spoken information retrieval, users' spoken queries are converted into text queries by using ASR engines. If top-1 results of the ASR engines are incorrect, the errors are propagated to information retrieval systems. If a docu- ment collection is a small set of short texts, the errors will more affect the per- formances of information retrieval systems. To improve the top-1 accuracies of the ASR engines, we propose a post-processing model to rearrange top-n out- puts of ASR engines by using Ranking SVM. To improve the re-ranking per- formances, the proposed model uses various features such as ASR ranking in- formation, morphological information, and domain-specific lexical information. In the experiments, the proposed model showed the higher precision of 4.4% and the higher recall rate of 6.4% than the baseline model without any post- processing. Based on this experimental result, the proposed model showed that it can be used as a post-processor for improving the performance of a spoken information retrieval system if a document collection is a restricted amount of sentences.

关键词： Information retrieval systems

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PB-09Alpha-synuclein Binds Unconventional Microtubules That Have a Unique Function

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Microscopy 2017年第SUPPL_1期66卷 i37-i37页

作者： Toba, Shiori Jin, Mingyue Yamada, Masami Matsumoto, Sakiko Yasunaga, Takuo Fukunaga, Yuko Miyazawa, Atsuo Kojima, Hiroaki Arai, Yoshiyuki Nagai, Takeharu Hirotsune, Shinji Osaka City Univ. Grad. Sch. of Medicine Present address: Dept. of Emergency Medical Technology Hirosaki University of Health and Welfare Junior College Faculty of Computer Science and Systems Engineering Kyushu Inst. of Technology Fukuoka Japan JST-SENTAN JST-CREST Grad. Sch. of Life Science Univ. of Hyogo RSC-Univ. of Hyogo Leading Program Center RIKEN SPring-8 Center Advanced ICT Research Inst. National Inst. of Information and Communications Technology and Inst. of Scientific and Industrial Research Osaka Univ. Japan.

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Lexical feature extraction method for classification of erroneous online customer reviews based on pattern matching

Lexical feature extraction method for classification of erro...

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4th International Conference on Mobile, Ubiquitous, and Intelligent Computing, MUSIC 2013

作者： Choi, Maengsik Shin, Junsoo Kim, Harksoo Program of Computer and Communications Engineering College of Information Technology Kangwon National University Chuncheon-si Korea Republic of

ISBN: (纸本)9783642406744

In morpheme-based languages such as Korean and Japanese, spacing and spelling errors that frequently occur in online documents make it difficult to reliably extract informative lexical clues for sentiment analysis. To overcome this problem, we propose a simple, reliable lexical feature extraction method for sentiment classification systems;this method targets online customer reviews in Korean, which include numerous spacing and spelling errors. The proposed method performs longest-matching between input sentences and two kinds of patterns (spacing-unit patterns and phoneme patterns) that are automatically constructed from a large POS tagged corpus. Thereafter, the method returns content words associated with the longest matched patterns. In the experiments on sentiment classification, the proposed method outperformed previous lexical feature extraction methods, which are based on conventional morphological analyzers. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Pattern matching

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Mathematical document retrieval model using structural information of equations in pseudo-documents

Mathematical document retrieval model using structural infor...

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4th International Conference on Mobile, Ubiquitous, and Intelligent Computing, MUSIC 2013

作者： Song, Yeongkil Shin, Junsoo Kim, Harksoo Program of Computer and Communications Engineering College of Information Technology Kangwon National University Chuncheon-si Korea Republic of

ISBN: (纸本)9783642406744

Math-aware search engines are required to effectively retrieve mathematical documents including various equations. In this paper, we propose a mathematical document retrieval system by which users can retrieve documents using any combination of keywords and equations. The proposed system indexes equations and their surrounding keywords from mathematical documents. Then, it searches and ranks mathematical documents using a language model modified for the heterogeneous indexing units (i.e., mixtures of equations and keywords). In the experiments, the proposed system performed well, especially for high ranks. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Search engines

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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A Simple Technique to Analysis of Microwave Absorbers using Frequency Selective Surfaces

A Simple Technique to Analysis of Microwave Absorbers using ...

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SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference

作者： Eliel Poggi dos Santos Antonio Luiz P. S. Campos Graduate Program in Electrical and Computer Engineering Federal University of Rio Grande do Norte Department of Engineering Communications Federal University of Rio Grande do Norte

ISBN: (纸本)9781467394932

This work aims to analyze the variation of some parameters in the design of microwave absorbers using FSS. The methodology consists of a combination of two techniques: the equivalent circuit method, which provides the transmission and reflection characteristics of the individual structures for a plane wave with normal incidence, and the scattering matrix technique, which provides the result of two FSS cascaded, a conductive FSS and a resistive FSS, getting absorption properties in the projected range. Simulated results are presented and comparison with results obtained with commercial software are made.

关键词： Simple Technique Analysis Microwave Absorbers Frequency Selective Surfaces

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Publisher Correction: Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport

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Scientific reports 2018年第1期8卷 8019页

作者： Shiori Toba Mingyue Jin Masami Yamada Kanako Kumamoto Sakiko Matsumoto Takuo Yasunaga Yuko Fukunaga Atsuo Miyazawa Sakiko Fujita Kyoko Itoh Shinji Fushiki Hiroaki Kojima Hideki Wanibuchi Yoshiyuki Arai Takeharu Nagai Shinji Hirotsune Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka Fukuoka 820-850 Japan. JST-SENTAN 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. JST-CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. Graduate School of Life Science University of Hyogo 3-2-1 Kouto Kamigori-cho Ako-gun Hyogo 678-1297 Japan. RSC-University of Hyogo Leading Program Center RIKEN SPring-8 Center 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo 679-5148 Japan. Graduate School of Materials Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0101 Japan. Department of Pathology and Applied Neurobiology Kyoto Prefectural University of Medicine Graduate School of Medical Sciences Kajii-cho Kawaramachi-Hirokoji Kamigyo-ku Kyoto 602-8566 Japan. Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Kobe 651-2492 Japan. Department of Pathology Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8586 Japan. Department of Biomolecular Science and Engineering Institute of Scientific and Industrial Research Osaka University Mihoga-oka 8-1 Osaka 567-0047 Japan. Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. shinjih@med.osaka-cu.ac.jp.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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Optimal signal processing method in UWB radar for hidden human detection

Optimal signal processing method in UWB radar for hidden hum...

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作者： Karamzadeh, Saeid Kartal, Mesut Kent, Sedef Ashtiyani, A. Abed Informatics Institute Department of Advanced Technology Satellite Communication and Remote Sensing Program Istanbul Technical University Turkey Department of Electronics and Communications Faculty of Electrical and Electronic Engineering Istanbul Technical University Turkey Faculty of Electric and Computer University of Tabriz Iran

Today, human detection and tracking is important challenge for many aims. In this study, we are used Ultra Wide Band (UWB) radar for human respiratory detection behind a wall. The modulated system to get the breathing signal is introduced. The results of simulation part of the established system are presented. Suitable antenna for using as a transmitter and receiver is being discussed. Different signal processing methods are debated and optimal method is introduced for various environments. © VDE VERLAG GMBH · Berlin · Offenbach, Germany.

关键词： Antennas

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