url: =APSIPA ASC 2015 Session Index\nHOME | ORGANIZING COMMITTEE | INTERNATIONAL PROGRAM COMMITTEE | SESSION INDEX | AUTHOR INDEX | ACKNOWLEDGEMENT\n08:00 - 09:00 Tutorial Registration\nY Core 3rd Floor Podium\n09:00 - 10:30 Tutorial 2\nWoon-Seng Gan and Jianjun He\nWanli Ouyang and Xiaogang Wang\n11:00 - 12:30 Tutorial 2\n12:30 - 14:00 Technical Activities Board Meeting\n14:00 - 15:30 Tutorial 5\nGene Cheung and Xianming Liu\n16:00 - 17:30 Tutorial 5\nVenue: V Cuisine Restaurant\n3/F, Harbour Crystal Centre, 100 Granville Road, Tsim Sha Tsui, Kowloon, Hong Kong\nWhither speech recognition? - Deep learning to deep thinking\nSpeaker: Professor Sadaoki Furui, Toyota Technological Institute at Chicago, U.S.A.\nCan I trust this photo?\nSpeaker: Professor Alex Kot, Nanyang Technological University, Singapore\n12:00 - 14:00 Lunch Conference Board Meeting\nTechnical Committee Meeting 1\nTechnical Committee Meeting 2\nTechnical Committee Meeting 3\nFriend Lab Session TN1\n14:00 - 15:30 TP1-1\nSpeech Recognition I\nTP1-4 (Special Session)\nSignal Processing and Machine Learning Methods for Brain/neural Computer Interaction Applications\nTP1-5 (Special Session)\nRecent Topics of the Linear and Non-linear Adaptive Signal and Information Processing\nTP1-6 (Special Session)\nRecent Topics in Convex Optimization and Applications\nSignal and Information Processing Theory and Methods I\n16:00 - 17:30 TP2-1\nTP2-4 (Special Session)\nNeural Signal Processing for Responses to Visual Stimuli\nTP2-5 (Special Session)\nAdvanced Topics in Volumetric Image Processing\nTP2-6 (Special Session)\nRecent Advances in Pattern Recognition, Machine Learning, and Biometrics\nWireless and Data Communications Networks\n18:00 - 21:00 BOG Meeting\nVenue: Room CD634\nSpeaker: Professor Antonio Ortega, University of Southern California, U.S.A.\n10:00 - 10:30 APSIPA Assembly\n11:00 - 12:30 FA1-1\nImage/Video Coding and Transcoding\nSignal and Information Processing Theory and Methods II\nFA1-4 (Special Session)\nImage Restoration via Low-Rank Approach and Transform Domain\nFA1-5 (Special Session)\nFA1-6 (Special Session)\nRecent Advances in Audio and Acoustic Signal Processing\n12:30 - 14:00 Lunch APSIPA TSIP Editorial Board Meeting\nTechnical Committee Meeting 4\nTechnical Committee Meeting 5\nTechnical Committee Meeting 6\nFriend Lab Session FN1\n14:00 - 15:30 FP1-1\nSpeaker Verification and Recognition\nImage Enhancement and Superresolution\nHuman Visual Information Processing and Its Applications\nFP1-5 (Special Session)\nAdvanced Secure and Shared Wireless Networks\nFP1-6 (Special Session)\nRecent Advances on Active Control of Sound\n16:00 - 17:30 Plenary Industry Forum\nThe Future of Smart Life\n17:30 - 18:30 Free Time / Traveling to Banquet venue\nVenue: Star Seafood Floating Restaurant\n55-57 Tai Chung Kiu Road, Sha Tin, New Territories, Hong Kong\n09:00 - 10:30 SA1-1\nImage and Video Based Object Tracking and Detection\nSA1-4 (Special Session)\nAdvanced Image Processing and Computer Vision Techniques\nSA1-5 (Special Session)\nMedical and Health Care Service Development\nSA1-6 (Special Session)\nSignal Sensing and Acquisition\n11:00 - 12:30 Invited Overview Session\nAcoustic Modeling and Speech Quality Assessment\nSA2-4 (Special Session)\nPerceptual-based Texture Analysis and Application\nSA2-5 (Special Session)\nSocial Multimedia and Big Data Analytics\nSA2-6 (Special Session)\nSpeech Conversion and Synthesis\n12:30 - 14:00 Lunch Membership Board Meeting\nFriend Lab Session SN1\n14:00 - 15:30 Invited Overview Session\nSpoken Language Analysis and Identification\nImage Analysis, Representation and Classification I\nSP1-6 (Special Session)\nRecent Advance on Intelligent Image/video Processing\n16:00 - 17:30 SP2-1\nVirtual Reality and 3D Image Processing\nImage Analysis, Representation and Classification II\nSP2-5 (Special Session)\nChatbots and Dialogue Agents\nSP2-6 (Special Session)\nRecent Advances in Low-level Image and Video Processing\nClassification by Acoustic and Audio Signals\n18:00 - 22:00 BOG Appreciation Dinner\nVenue: Tienyi Chinese Restaurant\nShop 3A, L2/F, The Peak Tower, 128 Peak Road, Hong Kong\nDate & Time: Wednesday December 16, 09:00 - 12:20\nPlace: Room Y302\nPlace: Room Y303\nDate & Time: Wednesday December 16, 14:00 - 17:20\nGene Cheung and Xiaming Liu\nPlace: Room Y304\nZhizheng Wu, Tomi Kinnunen, Nicholas Evans and Junichi Yamagishi\nDate & Time: Thursday December 17, 09:30 - 10:30\nPlace: Room V322\nChair Haizhou Li, Institute for Infocomm Research A*STAR (Singapore)\nWither speech recognition? - Deep learning to deep thinking\nSadaoki Furui, Toyota Technological Institute at Chicago (U.S.A.)\nDate & Time: Thursday, December 17, 11:00 - 12:00\nChair W.C. Siu, The Hong Kong Polytechnic University (Hong Kong)\nAlex Kot, Nanyang Technological University (Singapore)\nTN1: Friend Lab Session\nDate & Time: Thursday, December 17, 12:30 - 14:00\nPlace: Room Y306\nChair: C.-C. Jay Kuo, University of Southern California (U.S.A.)\nPresenters: Jiaying Liu, Peking University (China)\nGene Cheung, National Institute of Informatics (Japan)\nChia-Hung Yeh, National Sun Yat-sen University (Taiwan)\nYo-Sung Ho, Gwangju Institute of Science and Technology (Korea)\nMing-Ting Sun, University of Washington (USA)\nAnthony Kuh, University of Hawaii (USA)\nC.-C. Jay Kuo, University of Southern California (USA)\nType: Invited Overview Session\nDate & Time: Thursday December 17, 14:00 - 15:30\nChair: Kenneth K.M. Lam, The Hong Kong Polytechnic University (Hong Kong)\nTP1-1.1:Recent Advances in Energy Harvesting Communications\nM.L. Willy Ku, Yan Chen, and K.J. Ray Liu, University of Maryland, College Park (USA)\nTP1-1.2:Perceptual Coding: Hype or Hope?\nTP1-1.3 Learning Approach on Image Interpolation and Super-resolution\nWan-Chi Siu, The Hong Kong Polytechnic University (Hong Kong)\nChair: Dong Wang, Tsinghua University (China)\nTP1-2.1: Audio-visual speech recognition using deep bottleneck features and high-performance lipreading\nSatoshi TAMURA, Gifu University (Japan), Hiroshi NINOMIYA, Nagoya University (Japan), Norihide KITAOKA, Nagoya University (Japan), Shin OSUGA, Aisin Seiki Co., Ltd. (Japan), Yurie IRIBE, Aichi Prefectural University (Japan), Kazuya TAKEDA, Nagoya University (Japan), Satoru HAYAMIZU, Gifu University (Japan)\nTP1-2.2: Improving Bottleneck Features for Automatic Speech Recognition using Gammatone-based Cochleagram and Sparsity Regularization\nChao Ma, Tsinghua University (China), Jun Qi, University of Washington (United States of America), Dongmei Li, Tsinghua University (China), Runsheng Liu, Tsinghua University (China)\nTP1-2.3: Speech selection and environmental adaptation for asynchronous speech recognition\nBo Ren, Nagaoka University of Technology (Japan), Longbiao Wang, Nagaoka University of Technology (Japan), Atsuhiko Kai, Shizuoka University (Japan), Zhaofeng Zhang, Nagaoka University of Technology (Japan)\nTP1-2.4: Music Removal by Convolutional Denoising Autoencoder in Speech Recognition\nMengyuan Zhao, Tsinghua University (China), Dong Wang, Tsinghua University (China), Zhiyong Zhang, Tsinghua University (China), Xuewei Zhang, Tsinghua University (China)\nTP1-2.5: Speech recognition for mixed speech and music by NMF using various cost functions and noise adaptive training methods\nNaoaki Hashimoto, Toyohashi University of Technology (Japan), Kazumasa Yamamoto, Toyohashi University of Technology (Japan), Seiichi Nakagawa, Toyohashi University of Technology (Japan)\nChair: Supavadee Aramvith, Chulalongkorn University (Thailand)\nTP1-3.1: Feature-Aging for Age-Invariant Face Recognition\nHuiling Zhou, The Hong Kong Polytechnic University (Hong Kong), Kwok-Wai Wong, The Hong Kong Polytechnic University (Hong Kong), Kenneth Lam, The Hong Kong Polytechnic University (Hong Kong)\nTP1-3.2: Detection of Facial Parts via Deformable Part Model Using Part Annotation\nKazuhiro Nishida, Kobe University (Japan), Naoko Enami, Kobe University (Japan), Yasuo Ariki, Kobe University (Japan)\nTP1-3.3: Multifarious Distances, Cameras and Illuminations Face Database\nShilian Yu, Tsinghua University (China), Zuodong Yang, Tsinghua University (China), Yichuan Wang, Tsinghua University (China), Weifeng Liy, Tsinghua University (China), Qingmin Liao, Tsinghua University (China),\nTP1-3.4: Weber Binary Pattern and Weber Ternary Pattern for Illumination-Robust Face Recognition\nZuodong Yang, Tsinghua University (China), Yinyan Jiang, Tsinghua University (China), Yong Wu, Tsinghua University (China), Zongqing Lu, Tsinghua University (China), Weifeng Li, Tsinghua University (China), Qingmin Liao, Tsinghua University (China)\nOrganizers Hiroshi Higashi, Toyohashi University of Technology (Japan)\nHiroshi Higashi, Toyohashi University of Technology (Japan)\nChairs: Hiroshi Higashi, Toyohashi University of Technology (Japan)\nTomasz M. Rutkowski, University of Tsukuba (Japan)\nTP1-4.1: Channel Selection for Brain Signal Classification by Penalized Automatic Relevance Determination\nReo Togashi, The University of Electro-Communications (Japan), Yoshikazu Washizawa, The University of Electro-Communications (Japan)\nTP1-4.2: Fingertip Stimulus Cue–based Tactile Brain–computer Interface\nHiroki Yajima, University of Tsukuba (Japan), Shoji Makino, University of Tsukuba (Japan), Tomasz M. Rutkowski, University of Tsukuba\nTP1-4.3: Variable Sound Elevation Features for Head–related Impulse Response Spatial Auditory BCI\nChisaki Nakaizumi, University of Tsukuba (Japan), Shoji Makino, University of Tsukuba (Japan), Tomasz M. Rutkowski, University of Tsukuba (Japan)\nTP1-4.4: Classification Improvement and Analysis of P300 Responses with Various Inter–stimulus Intervals in Application to Spatial Visual Brain–computer Interface\nAness Belhaouari, University of Tsukuba (Japan),Nasreddine Berrachedy, University of Tsukuba (Japan), Tomasz M. Rutkowski, University of Tsukuba (Japan)\nDate & Time: Thursday December 17, 14:00 - 15:45\nPlace: Room Y305\nOrganizers: Kiyoshi Nishikawa, Tokyo Metropolitan University (Japan)\nFelix Albu, Valahia University of Targoviste (Romania)\nLi Xu, Akita Prefectural University (Japan)\nGuan Gui, Akita Prefectural University (Japan)\nChair: Kiyoshi Nishikawa, Tokyo Metropolitan University (Japan)\nTP1-5.1: Sparsity-Aware Recursive Maximum Correntropy Criteria Adaptive Filtering Algorithm\nWentao Ma, Xi'an Jiaotong University (China), Badong Chen, Xi'an Jiaotong University (China), Jiandong Duan, Xi'an Jiaotong University (China), Hongyun Wei, Akita International University (Japan), Guan Gui, Nanjing University of Posts and Telecommunications (China)\nTP1-5.2: Fast NLMF-Type Algorithms for Adaptive Sparse System Identifications\nGuan Gui, Nanjing University of Posts and Telecommunications (China), Beiyi Liu, Akita Prefectural University (Japan), Li Xu, Akita Prefectural University (Japan), Wentao Ma, Xi'an University of Technology (China)\nTP1-5.3: New Iterative Kernel Algorithms for Nonlinear Acoustic Echo Cancellation\nFelix Albu, Valahia University of Targoviste (Romania), Kiyoshi Nishikawa, Tokyo Metropolitan University (Japan)\nTP1-5.4: Adaptive Feedback Canceller with Howling Detection for Hearing Aids\nKakeru Kashima, Osaka University (Japan), Arata Kawamura, Osaka University (Japan), Masahiro Sunohara, Rion Co., Ltd. (Japan), Kazuki Nishiyama, Rion Co., Ltd. (Japan), Nobuhiko Hiruma, Rion Co., Ltd. (Japan), Youji Iiguni, Osaka University (Japan)\nTP1-5.5: A Complete Parallel Narrowband Active Noise Control System based on Residual Error Separation Using Variable Leaky LMS\nBoyan Huang, Harbin Institute of Technology (China), Liang Wen, Harbin Institute of Technology (China), Yegui Xiao, Prefectural University of Hiroshima (Japan), Jinwei Sun, Harbin Institute of Technology (China), Yi Shen, Harbin Institute of Technology (China)\nTP1-5.6: A Hybrid Nonlinear Adaptive Noise Canceller for Fetal ECG Extraction\nYaping Ma, Harbin Institute of Technology (China), Yegui Xiao, Prefectural University of Hiroshima (Japan), Guo Wei, Harbin Institute of Technology (China), Jinwei Sun, Harbin Institute of Technology (China), Hongyun Wei, Akita International University (Japan)\nPlace: Room Y521\nOrganizer: Akira Hirabayashi, Ritsumeikan University (Japan)\nChair: Akira Hirabayashi, Ritsumeikan University (Japan)\nTP1-6.1: Pool Size Control for Adaptive Group Testing via Boolean Compressed Sensing with Solution Space Reduction\nRiho Kawasaki, Kyoto University (Japan), Kazunori Hayashi, Kyoto University (Japan), Megumi Kaneko, Kyoto University (Japan)\nTP1-6.2: Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity\nNaoki Nogami, Ritsumeikan University (Japan), Akira Hirabayashi, Ritsumeikan University (Japan), Jeremy White, Ritsumeikan University (Japan), Laurent Condat, University of Grenoble Alps (France)\nTP1-6.3: A Robust Registration Method using Huber ICP and Low Rank and Sparse Decomposition\nQiaochu Zhao, Ritsumeikan University (Japan), Xian-Hua Han, Ritsumeikan University (Japan), Yen-Wei Chen, Ritsumeikan University (Japan)\nTP1-6.4: A nonexpansive operator for computationally efficient hierarchical convex optimization\nMasao Yamagishi, Tokyo Institute of Technology (Japan), Isao Yamada, Tokyo Institute of Technology (Japan)\nTP1-6.5: A Simple Proof for The Equivalence of Multiple Kernel Regressors and Single Kernel Regressors with Sum of Kernels\nAkira Tanaka, Hokkaido University (Japan)\nPlace: Room Y512\nChair(s): Anthony Kuh, University of Hawaii (U.S.A.)\nMasahiro Yukawa, Keio University (Japan)\nTP1-7.1: Supervised Nonnegative Matrix Factorization Using Active-Period-Aware Structured L1-Norm for Music Transcription\nYu Morikawa, Niigata University (Japan), Masahiro Yukawa, Keio University (Japan), Hisakazu Kikuchi, Niigata University (Japan)\nTP1-7.2: Non-negative Matrix Factorization using Stable Alternating Direction Method of Multipliers for Source Separation\nShaofei Zhang, Northwestern Polytechnical University (China), Dongyan Huang, Institute for Infocomm Research, A*STAR (Singapore), Lei Xie, Northwestern Polytechnical University (China), Eng Siong Chng, Nanyang Technological University (Singapore), Haizhou Li, Institute for Infocomm Research, A*STAR (Singapore), Minghui Dong, Institute for Infocomm Research. A*STAR (Singapore)\nTP1-7.3: Analysis Of Sports Statistics Via Graph-Signal Smoothness Prior\nHaitian Zheng, University of Science and Technology China (China), Gene Cheung, National Institute of Informatics (Japan), Lu Fang, University of Science and Technology China (China)\nTP1-7.4: A Fast Automatic Low-rank Determination Algorithm for Noisy Matrix Completion\nTatsuya Yokota, RIKEN Brain Science Institute (Japan), Andrzej Cichocki, Polish Academy of Science (Poland)\nTP1-7.5: Vocal separation by Constrained Non-Negative Matrix Factorization\nEri Ochiai, Keio University (Japan), Takanori Fujisawa, Keio University (Japan), Masaaki Ikehara, Keio University (Japan)\nDate & Time: Thursday, December 17, 16:00 - 17:30\nChair(s): Ming-Ting Sun, University of Washington (U.S.A.)\nSam Kwong, City University of Hong Kong (Hong Kong)\nTP2-1.1: On SSIM-Bit Rate Comparison of HEVC Encoders\nTiesong Zhao, Fuzhou University (China), Zhou Wang, University of Waterloo (Canada), Sam Kwong, City University of Hong Kong (Hong Kong), Chang Wen Chen, State University of New York at Buffalo (U.S.A.)\nTP2-1.2: Fast CU Partition Strategy for HEVC Intra-Frame Coding Using Learning Approach via Random Forests\nBochuan Du, Hong Kong Polytechnic University (Hong Kong), Wan-Chi Siu, Hong Kong Polytechnic University (Hong Kong), Xuefei Yang, Hong Kong Polytechnic University (Hong Kong)\nTP2-1.3: An Adaptive Segment-Based View Synthesis Optimization Method for 3D-HEVC\nHuan Dou, Beijing University of Technology (China), Yui-Lam Chan, The Hong Kong Polytechnic University (Hong Kong), Ke-Bin Jia, Beijing University of Technology (China), Wan-Chi Siu, The Hong Kong Polytechnic University (Hong Kong), Peng-Yu Liu, Beijing University of Technology (China), Qiang Wu, Beijing University of Technology (China)\nTP1-1.4: Hash Based Fast Local Search for Intra Block Copy (IntraBC) Mode in HEVC Screen Content Coding\nSik-Ho Tsang, The Hong Kong Polytechnic University (Hong Kong), Yui-Lam Chan, The Hong Kong Polytechnic University (Hong Kong), Wan-Chi Siu, Hong Kong Polytechnic University (Hong Kong)\nTP2-1.5: Adaptive Transform with HEVC Intra Coding\nTao Zhang, Harbin Institute of Technology (China), Haoming Chen, University of Washington (United States of America), Ming-Ting Sun, University of Washington (United States of America), Ankur Saxena, Samsung Research America (United States of America), Debin Zhao, Harbin Institute of Technology (China), Wen Gao, Harbin Institute of Technology (China)\nDate & Time: Thursday, December 17, 16:00 - 17:45\nChair: Tomoki Toda, Nagoya University (Japan)\nTP2-2.1: A Myanmar Large Vocabulary Continuous Speech Recognition System\nHay Mar Soe Naing, University of Computer Studies (Myanmar), Aye Mya Hlaing, University of Computer Studies (Myanmar), Win Pa Pa, University of Computer Studies (Myanmar), Xinhui Hu, National Institute of Information and Communications Technology (Japan), Ye Kyaw Thu, National Institute of Information and Communications Technology (Japan), Chiori Hori, Mitsubishi Electric Research Laboratories (U.S.A.), Hisashi Kawai, National Institute of Information and Communications Technology (Japan)\nTP2-2.2: Two-Stage Lexicon Optimization of G2P-Converted Pronunciation Dictionary Based on Statistical Acoustic Confusability Measure\nNam Kyun Kim, Gwangju Institute of Science and Technology (Korea), Woo Kyeong Seong, Gwangju Institute of Science and Technology (Korea), Hun Kyu Ha, Gwangju Institute of Science and Technology (Korea), Hong Kook Kim, Gwangju Institute of Science and Technology (Korea)\nTP2-2.3: Automatic Classification of Usability of ASR Result for Real-time Captioning of Lectures\nYuya Akita, Kyoto University (Japan), Nobuhiro Kuwahara, Kyoto University (Japan), Tatsuya Kawahara, Kyoto University (Japan)\nTP2-2.4: On a robust ASR based on complex AR speech analysis\nKeita Higa, University of the Ryukyus (Japan), Keiichi Funaki, University of the Ryukyus (Japan)\nTP2-2.5: Integrating Prosodic Information into Recurrent Neural Network Language Model For Speech Recognition\nTong Fu, Peking University (China), Yang Han, Peking University (China), Xiangang Li, Peking University (China), Yi Liu, Peking University (China), Xihong Wu, Peking University (China)\nTP2-2.6: Enhancing the Complex-valued Acoustic Spectrograms in Modulation Domain for Creating Noise-Robust Features in Speech Recognition\nHsin-Ju Hsieh, National Chi Nan University (Taiwan), Berlin Chen, National Taiwan Normal University (Taiwan), Jeih-Weih Hung, National Chi Nan University (Taiwan)\nChairs: Waleed Abdulla, The University of Auckland (New Zealand)\nYoshinobu Kajikawa, Kansai Uniersity (Japan)\nTP2-3.1: Linearization of the Parametric Array Loudspeaker Upon Varying Input Amplitudes\nYuta Hatano, Kansai Uniersity (Japan), Chuang Shi, Kansai Uniersity (Japan), Satashi Kinoshita, Kansai Uniersity (Japan), Yoshinobu Kajikawa, Kansai Uniersity (Japan)\nTP2-3.2: Multizone Reproduction of Speech Soundfields: A Perceptually Weighted Approach\nJacob Donley, University of Wollongong (Australia), Christian Ritz, University of Wollongong (Australia)\nTP2-3.3: On Rayleigh distance and absorption length of parametric loudspeaker\nFelipe Farias, University of Auckland (New Zealand), Waleed Abdulla, University of Auckland (New Zealand)\nTP2-3.4: 3D Multizone Soundfield Reproduction in the Reverberant Room Using a Spherical Loudspeaker Array\nMeng-Fang Zha, Beijing University of Technology (China), Chang-Chun Bao, Beijing University of Technology (China), Mao-Shen Jia, Beijing University of Technology (China)\nChair: Toshihisa Tanaka (Tokyo University of Agriculture and Technology, Japan)\nTP2-4.1: Frequency Recognition for SSVEP based BCI Using Reference Signals With Dominant Frequency\nMd. Rabiul Islam, Tokyo University of Agriculture and Technology (Japan), Toshihisa Tanaka, Tokyo University of Agriculture and Technology (Japan), Md. Khademul Islam Molla, The University of Rajshahi (Bangladesh) Most. Sheuli Akter, The University of Rajshahi (Bangladesh)\nTP2-4.2: SVM Classification Study of Code modulated Visual Evoked Potentials\nDaiki Aminaka, University of Tsukuba (Japan), Shoji Makino, University of Tsukuba (Japan), Tomasz M. Rutkowski, University of Tsukuba (Japan)\nTP2-4.3: Subspace-Constrained Multilinear Discriminant Analysis for ERP-based Brain Computer Interface Classification\nHiroshi Higashi, Toyohashi University of Technology (Japan), Tomasz M. Rutkowski, University of Tsukuba (Japan), Toshihisa Tanaka, Tokyo University of Agriculture and Technology (Japan), Yuichi Tanaka, Tokyo University of Agriculture and Technology (Japan)\nTP2-4.4: SSVEP by checkerboard related to grid size and board size\nArao Funase, Nagoya Institute of Technology (Japan), Kenya Wakita, Tokyo Institute of Technology (Japan), Akitoshi Itai, Chubu University (Japan), Ichi Takumi, Nagoya Institute of Technology (Japan)\nOrganizers: Shogo Muramatsu, Niigata University (Japan)\nMasahiro Iwahashi, Nagaoka University of Technology (Japan)\nChairs: Shogo Muramatsu, Niigata University (Japan)\nTP2-5.1: 3-D OCT Data Denoising with Non-separable Oversampled Lapped Transform\nShogo Muramatsu, Niigata University (Japan), Samuel Choi, Niigata University (Japan), Takumi Kawamura, Niigata University (Japan)\nTP2-5.2: Multispectral filter array and demosaicking for pathological images\nKazuma Shinoda, Utsunomiya University (Japan), Shu Ogawa, Utsunomiya University (Japan), Yudai Yanagi, Utsunomiya University (Japan), Madoka Hasegawa, Utsunomiya University (Japan), Shigeo Kato, Utsunomiya University (Japan), Masahiro Ishikawa, Saitama Medical University (Japan), Hideki Komagata, Saitama Medical University (Japan), Naoki Kobayashi, Saitama Medical University (Japan)\nTP2-5.3: Real-Time View Synthesis System Using Active Illumination and Adaptive Space-Time Cost-Volume Filtering\nSho Nishimura, Nagoya University (Japan), Shunsuke Yamada, Nagoya University (Japan), Keita Takahashi, Nagoya University (Japan), Toshiaki Fujii, Nagoya University (Japan)\nTP2-5.4: Intensity Estimation of LEDs from Spatially and Temporally Mixed Images in Image Sensor Communication\nTakazumi ASAI, Nagaoka University of Technology (Japan), Daigo IWASE, Nagaoka University of Technology (Japan), Ryoko IEKI, Kagawa College (Japan), Tomohiro YENDO, Nagaoka University of Technology (Japan), Shintaro ARAI Kagawa College (Japan), Takaya YAMAZATO, Nagoya University (Japan), Hiraku OKADA, Nagoya University (Japan), Toshiaki FUJII,Nagoya University (Japan), Koji KAMAKURA, Chiba Institute of Technology (Japan)\nTP2-5.5: Channel Scaling for Rounding Noise Reduction in Minimum Lifting 3D Wavelet Transform\nFairoza Amira Binti Hamzah, Nagaoka University of Technology (Japan), Taichi Yoshida, Nagaoka University of Technology (Japan), Masahiro Iwahashi, Nagaoka University of Technology (Japan), Hitoshi Kiya, Tokyo Metropolitan University (Japan)\nOrganizers: Andrew Beng Jin Teoh, Yonsei University (Korea)\nTee Connie, Multimedia University (Malaysia)\nMichael Kah Ong Goh, Multimedia University (Malaysia)\nChair: Andrew Beng Jin Teoh, Yonsei University (Korea)\nTP2-6.1: Tensor Kernel Supervised Dictionary Learning for Face Recognition\nYeongkhang Lee, Yonsei University (Korea), Cheng Yaw Low, Yonsei University (Korea), Andrew Beng Jin Teoh, Yonsei University (Korea)\nTP2-6.2: Learning Compact Discriminant Local Face Descriptor with VLAD\nCheng Yaw Low, Yonsei University (Korea, The Republic of\nTP2-6.3: DCTNet : A simple Learning-free Approach for Face Recognition\nCong Jie Ng, Yonsei University (Korea, The Republic of), Andrew Beng Jin Teoh, Yonsei University (Korea, The Republic of)\nTP2-6.4: A Preliminary Study of Gait-based Age Estimation Techniques\nBenz Kek Yeo Chuen, Multimedia University (Malaysia), Tee Connie, Multimedia University (Malaysia), Ong Thian Song, Multimedia University (Malaysia), Michael Goh, Multimedia University (Malaysia)\nTP2-6.5: Multi-instance Finger Vein Recognition Using Local Hybrid Binary Gradient Contour\nWilliam Ardianto, Multimedia University (Malaysia), Thian Song Ong, Multimedia University (Malaysia), Tee Connie, Multimedia University (Malaysia), Michael Goh, Multimedia University (Malaysia)\nTP2-6.6: Cancellability for Local Binary Pattern Biometrics\nMunalih Ahmad Syarif, MIMOS Berhad (Malaysia), Leslie Ching Ow Tiong, MIMOS Berhad (Malaysia), Alwyn Goh, MIMOS Berhad (Malaysia), Latifah Mat Nen, MIMOS Berhad (Malaysia), Kay Win Lee, MIMOS Berhad (Malaysia)\nChairs: Tomoaki Ohtsuki, Keio University (Japan)\nKazunori Hayashi, Kyoto University (Japan)\nTP2-7.1: Scheduling Algorithm with Delay-limited for VoIP in LTE\nJuan Chen, University of Chinese Academy of Sciences (China), Wenguo Yang, University of Chinese Academy of Sciences (China), Suixiang Gao, University of Chinese Academy of Sciences (China), Lei Zhou, Huawei Technologies Co. LTD. Beijing, China (China)\nTP2-7.2: Intrusion Detection in Wireless Sensor Networks for Destructive Intruders\nQixiang Yu, Washington University in St. Louis (United States of America), Zhenxing Luo, Washington University in St. Louis (United States of America), Paul Min, Washington University in St. Louis (United States of America)\nTP2-7.3: An Efficient Heuristic for Restorable Energy Aware Routing in Networks with Bundled Links\nRui Wang, University of Chinese Academy of Sciences (China), Suixiang Gao, University of Chinese Academy of Sciences (China), Wenguo Yang, University of Chinese Academy of Sciences (China), Zhipeng Jiang, University of Chinese Academy of Sciences (China)\nTP2-7.4: A Reduced-dimensional Music Algorithm with Modulus Constraint Based on Electromagnetic Vector Sensor Array\nHuiyong Li, University of Electronic Science and Technology of China (China), Yuanfang Zhang, University of Electronic Science and Technology of China (China), Julan Xie, University of Electronic Science and Technology of China (China)\nDate & Time: Friday, December 18, 09:00 - 10:00\nChair: Helen Meng, The Chinese University of Hong Kong (Hong Kong)\nAntonio Ortega, University of Southern California (U.S.A.)\nDate & Time: Friday, December 18, 11:00 - 12:30\nChairs: Hitoshi Kiya, Tokyo Metropolitan University (Japan)\nYuk-Hee Chan, The Hong Kong Polytechnic University (Hong Kong)\nFA1-1.1: Learning based fast H.264 to H.265 transcoding\nQingxiong Huangyuan, Shanghai Jiaotong University (China), Li Song, Shanghai Jiaotong University (China), Yue Ma, Shanghai Jiaotong University (China), Rong Xie, Shanghai Jiaotong University (China), Zhengyi Luo, Shanghai University of Electric Power (China)\nFA1-1.2: Producing color-indexed images with scalable color and spatial resolutions\nYik Hing Fung, Hong Kong Polyrtechnic University (Hong Kong), Yuk Hee Chan, Hong Kong Polyrtechnic University (Hong Kong)\nFA1-1.3: Two Layer Coding of HDR Images with Noise Bias Compensation\nMasahiro Iwahashi, Nagaoka University of Technology (Japan), Fairoza Amira Binti Hamzah, Nagaoka University of Technology (Japan), Taichi Yoshida, Nagaoka University of Technology (Japan), Hitoshi Kiya, Tokyo Metropolitan University (Japan)\nFA1-1.4: Designing Sparse Graphs via Structure Tensor for Block Transform Coding of Images\nIvano Rotondo, National Institute of Informatics (Japan), Gene Cheung, National Institute of Informatics (Japan), Antonio Ortega, University of Southern California (United States of America), Hilmi Egilmez, University of Southern California (United States of America)\nDate & Time: Friday, December 18, 11:00 - 12:45\nChairs: Christian Ritz, University of Wollongong (Australia)\nFutoshi Asano, Kogakuin University (Japan)\nFA1-2.1: Sound source localization using a single-point stereo microphone for robots\nFutoshi Asano, Kogakuin University (Japan), Mitsuharu Morisawa, National Institute of Advanced Industrial Science and Technology (Japan), Kenji Kaneko, National Institute of Advanced Industrial Science and Technology (Japan), Kazuhito Yokoi, National Institute of Advanced Industrial Science and Technology (Japan)\nFA1-2.2: The Development of the Vehicle Sound Source Localization System\nYoonho Jang, Hyundai Motor Company (Korea, The Republic of), Jaekwang Kim, Hyundai Motor Company (Korea, The Republic of), Jinhak Kim, Hyundai Motor Company (Korea, The Republic of)\nFA1-2.3: Offset estimation for microphone localization using alternating projections\nSimayijiang Zhayida, Lund University (Sweden), Fredrik Andersson, Lund University (Sweden), Kalle Åström, Lund University (Sweden)\nFA1-2.4: Spot-forming method by using two shotgun microphones\nMotoyuki Suzuki, Osaka Institute of Technology (Japan), Takeshi Honjo, Osaka Institute of Technology (Japan)\nFA1-2.5: CLUSTERED MULTI-CHANNEL DEREVERBERATION FOR AD-HOC MICROPHONE ARRAYS\nShahab Pasha, University of Wollonong (UOW) (Australia), Christian Ritz, University of Wollongong (UOW) (Australia)\nFA1-2.6: Omnidirectional Sound Source Tracking Based on Sequential Updating Histogram\nYusuke Shiiki, Tokyo Denki University (Japan), Kenji Suyama, Tokyo Denki University (Japan)\nChair(s): Mrityun Chakraborty, Indian Institute of Technology (India)\nToshihisa Tanaka, Tokyo University of Agriculture and Technology (Japan)\nFA1-3.1: Blind infrared spectroscopic data restoration with the similarity of multi-scales regularization\nHai Liu, Central China Normal University (China), Zhaoli Zhang, Central China Normal University (China), Sanya Liu, Central China Normal University (China), Jiangbo Shu, Central China Normal University (China), Zhi Liu, Central China Normal University (China)\nFA1-3.2: WIRELESS DIGITAL DEMODULATION SYSTEM VIA HIERARCHICAL MULTIRESOLUTION EMPIRICAL MODE DECOMPOSITION APPROACH\nWeichao Kuang, Guangdong University of Technology (China), Bingo W. K. Ling, Guangdong University of Technology (China), Zhijing Yang, Guangdong University of Technology (China), Wai-Lok Woo, Guangdong University of Technology (China)\nFA1-3.3: Research Trends in Optical Spectrum for Honey Analysis\nAry Noviyanto, The University of Auckland (New Zealand), Waleed Abdulla, The University of Auckland (New Zealand), Wei Yu, The University of Auckland (New Zealand), Zoran Salcic, The University of Auckland (New Zealand)\nFA1-3.4: A Novel Pruning Model of Deep Learning for Large-Scale Distributed Data Processing\nYiqiang Sheng, Chinese Academy of Sciences (China), Chaopeng Li, University of Chinese Academy of Sciences (China), Jinlin Wang, Chinese Academy of Sciences (China), Haojiang Deng, Chinese Academy of Sciences (China), Zhenyu Zhao, University of Science and Technology of China (China)\nFA1-3.5: Analysis of the FXLMS algorithm with norm-constant time-varying primary path\nNorihiro Ishibushi, Kansai University (Japan), Yoshinobu Kajikawa, Kansai Univ. (Japan), Seiji Miyoshi, Kansai Univ. (Japan)\nOrganizers: Jiaying Liu, Peking University (China), Zongming Guo, Peking University (China)\nChair: Zongming Guo, Peking University (China)\nFA1-4.1: Re-sampling and Interpolation of DIBR-synthesized Images using Graph-signal Smoothness Prior\nBenedicte Motz, EPFL (Switzerland), Gene Cheung, National Institute of Informatics (Japan), Antonio Ortega, University of Southern California (United States of America), Pascal Frossard, EPFL (Switzerland)\nFA1-4.2: Face Hallucination Based on Neighbor Embedding via Illumination Adaptation\nSijie Song, Peking University (China), Yanghao Li, Peking University (China), Zhihan Gao, Peking University (China), Jiaying Liu, Peking University (China)\nFA1-4.3: Error Concealment with Multiscale Patch Clustering and Low-Rank Minimization\nMading Li, Peking University (China), Wenhan Yang, Peking University (China), Sijie Song, Peking University (China), Zongming Guo, Peking University (China)\nFA1-4.4: Compression Noise Estimation and Reduction via Patch Clustering\nXinfeng Zhang, Nanyang Technological University (Singapore), Weisi Lin, Nanyang Technological University (Singapore), Jiaying Liu, Peking University (China), Siwei Ma, Peking University (China)\nFA1-4.5: Global face reconstruction for face hallucination using orthogonal Canonical Correlation Analysis\nHuiling Zhou, The Hong Kong Polytechnic University (Hong Kong), Jiwei Hu, Wuhan University of Technology (China), Kin-Man Lam, The Hong Kong Polytechnic University (Hong Kong)\nOrganizers: Masoumeh Azghani, Sahand University of Technology (Iran)\nSun Sumei, Institute for Infocomm Research (Singapore)\nChair(s): Masoumeh Azghani, Sahand University of Technology (Iran)\nFA1-5.1: MIMO-OFDM Pilot Symbol Design For Sparse Channel Estimation\nRoozbeh Mohammadian, Sharif University of Technology (Iran (Islamic Republic of)), Arash Amini, Sharif University of Technology (Iran (Islamic Republic of)), Babak H. Khalaj, Sharif University of Technology (Iran (Islamic Republic of)), Naeimeh Omidvar, Sharif University of Technology (Iran (Islamic Republic of))\nFA1-5.2: List message passing algorithm for noiseless compressed sensing\nFrancisco Ramirez-Javega, Universitat Politecnica de Catalunya (Spain), Meritxell Lamarca, Universitat Politecnica de Catalunya (Spain)\nFA1-5.3: On Introducing Damping to Bayes Optimal Approximate Message Passing for Compressed Sensing\nKazushi Mimura, Hiroshima City University (Japan)\nFA1-5.4: BPSK-OFDM Signal Detection in Time-Varying Channels Using Prior Information\nMin Huang, Shenzhen University (China), Lei Huang, Shenzhen University (China), Weize Sun, Shenzhen University (China), Qiang Li, Shenzhen University (China), Peichang Zhang, Shenzhen University (China)\nFA1-5.5: Low-Rank Block Sparse Decomposition Algorithm for Abnormaly Detection in Networks\nMasoumeh Azghani, Institute for Infocomm Research (Singapore), Sumei Sun, Institute for Infocomm Research (Singapore)\nOrganizers: Shoji Makino, University of Tsukuba (Japan)\nHiroshi Saruwatari, The University of Tokyo (Japan)\nChairs: Shoji Makino, University of Tsukuba (Japan)\nShoichi Koyama, The University of Tokyo (Japan)\nFA1-6.1: A Gain-adaptive Parallel HMM for Speech Enhancement\nQi He, Beijing University of Technology (China), Chang-Chun Bao, Beijing University of Technology (China)\nFA1-6.2: In-car Noise Field Analysis and Multi-zone Noise Cancellation Quality Estimation\nHanchi Chen, The Australian National University (Australia), Prasanga Samarasinghe, Australian National University (Australia), Thushara D. Abhayapala, The Australian National University (Australia)\nFA1-6.3: Evaluation of Two-microphone Acoustic Feedback Cancellation Using Uniform and Non-uniform Sub-bands in Hearing Aids\nLinh T.T. Tran, Curtin University (Australia), Hai H. Dam, Curtin University (Australia), Henning Schepker, University of Oldenburg (Germany), Simon Doclo, University of Oldenburg (Germany), Sven E. Nordholm, Curtin University (Australia)\nFA1-6.4: Sparse Sound Field Decomposition Using Group Sparse Bayesian Learning\nShoichi Koyama, The University of Tokyo (Japan), Atsushi Matsubayashi, The University of Tokyo (Japan), Naoki Murata, The University of Tokyo (Japan), Hiroshi Saruwatari, The University of Tokyo (Japan)\nFA1-6.5: Diffuse noise suppression with asynchronous microphone array based on amplitude additivity model\nYoshikazu Murase, University of Tsukuba (Japan), Hironobu Chiba, University of Tsukuba (Japan), Nobutaka Ono, National Institute of Informatics / SOKENDAI (Japan), Shigeki Miyabe, University of Tsukuba (Japan), Takeshi Yamada, University of Tsukuba (Japan), Shoji Makino, University of Tsukuba (Japan)\nChair: Woon Seng Gan, Nanyang Technological University (Singapore)\nFA1-7.1: An ACO Approach for Design of CSD Coefficient FIR Filters\nTomohiro Sasahara, Tokyo Denki University (Japan), Kenji Suyama, Tokyo Denki University (Japan)\nFA1-7.2: Performance Evaluation of IIR Filter Design Using Multi-Swarm PSO\nHaruna Aimi, Tokyo Denki University (Japan), Kenji Suyama, Tokyo Denki University (Japan)\nFA1-7.3: Parallelization of Cipher Algorithm on CPU/GPU for Real-time Software-Defined Access Network\nTakahiro Suzuki, NTT Access Network Service Systems Laboratories (Japan), Sang-Yuep Kim, NTT Access Network Service Systems Laboratories (Japan), Jun-Ichi Kani, NTT Access Network Service Systems Laboratories (Japan), Ken-Ichi Suzuki, NTT Access Network Service Systems Laboratories (Japan), Akihiro Otaka, NTT Access Network Service Systems Laboratories (Japan), Toshihiro Hanawa, NTT Access Network Service Systems Laboratories (Japan)\nFA1-7.4: An Affordable and Attachable Electronic Device for the Blind\nHejun Wong, Nanyang Technological University (Singapore). Santi Peksi, Nanyang Technological University (Singapore). Woon Seng Gan, Nanyang Technological University (Singapore)\nFN1: Friend Lab Session\nDate & Time: Friday, December 18, 12:30 - 14:00\nChair: Woon-Seng Gan, Nanyang Technological University (Singapore)\nPresenters: Yoshinobu Kajikawa, Kansai University (Japan)\nCheng-Yuan Chang, Chung Yuan Christian University (Taiwan)\nDong Wang, Tsinghua University (China)\nXiong Xiao, Nanyang Technological University (Singapore)\nLap Pui Chau, Nanyang Technological University (Singapore)\nMinghui Dong, I2R (Singapore)\nKaiKuang Ma, Nanyang Technological University (Singapore)\nWoon-Seng Gan, Nanyang Technological University (Singapore)\nDate & Time: December 18, 14:00 - 15:30\nChair: Daniel P.K. Lun, The Hong Kong Polytechnic University (Hong Kong)\nFP1-1.1: Virtual-View Based 3D Video Composition\nHsueh-Ming HANG, National Chiao Tung University (Taiwan)\nFP1-1.2: From Algorithm/Architecture Co-Exploration to Internet of Things\nGwo Gium (Chris) Lee, National Cheng Kung University (Taiwan)\nFP1-1.3: A MIMO-OFDM System for High Quality Video Communication\nYoshikazu Miyanaga, Hokkaido University (Japan)\nChairs: Tatsuya Kawahara, Kyoto University (Japan)\nMan-Wai Mak, The Hong Kong Polytechnic University (Hong Kong)\nFP1-2.1: Fast Scoring for Mixture of PLDA in I-Vector/PLDA Speaker Verification\nFP1-2.2: The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge\nShitao Wengy, SYSU-CMU Shunde International Joint Research Institute (China), Shushan Cheny, SYSU-CMU Shunde International Joint Research Institute (China),Lei Yu, SYSU-CMU Shunde International Joint Research Institute (China), Xuewei Wu, SYSU-CMU Shunde International Joint Research Institute (China), Weicheng Cai, Sun Yat-Sen University (China), Zhi Liu, SYSU-CMU Shunde International Joint Research Institute (China),Yiming Zhou, Zhejiang University (China), Ming Li, Sun Yat-Sen University (China)\nFP1-2.3: A Spectrum Smoothing Method for Speaker Verification\nZhaofeng Zhang, Nagaoka University of Technology (Japan), Jing Deng, ZingTech. Co. Ltd, (China), Longbiao Wang, Nagaoka University of Technology (Japan), Xiong Xiao, Nanyang Technological University (Singapore)\nFP1-2.4: Robust Formant Features for Speaker Verification in the Lombard Effect\nIleun Kwak, Yonsei University (Korea, The Republic of), Hong-Goo Kang, Yonsei University (Korea, The Republic of)\nFP1-2.5: Improved Deep Speaker Feature Learning for Text-Dependent Speaker Recognition\nLantian Li, Tsinghua University (China), Yiye Lin, Tsinghua University (China), Zhiyong Zhang, Tsinghua University (China), Dong Wang, Tsinghua University (China)\nChairs: Wan-Chi Siu, Hong Kong Polytechnic University (Hong Kong)\nLap-Pui Chau, Nanyang Technological University (Singapore)\nFP1-3.1: Image Super-resolution via Hybrid NEDI and Wavelet-based Scheme\nZhi-Song Liu, Hong Kong Polytechnic University (Hong Kong), Wan-Chi Siu, Hong Kong Polytechnic University (Hong Kong), Jun-Jie Huang, Hong Kong Polytechnic (Hong Kong)\nFP1-3.2: Removing harmonic distortion in tiled screens\nXiao Chen, The Hong Kong Polytechnic University (Hong Kong), Yuk Hee Chan, The Hong Kong Polytechnic University (Hong Kong)\nFP1-3.3: Underwater Image Color Correction based on Surface Reflectance Statistics\nHui Liu, Nanyang Technological University (Singapore), Lap-Pui Chau, Nanyang Technological University (Singapore)\nFP1-3.4: Noise Bias Compensation based on Bayesian Inference for Tone Mapped Noisy Image\nDate & Time: December 18, 14:00 - 15:45\nOrganizers: Kosin Chamnongthai, King Mongkut's University of Technology Thonburi (Thailand)\nMontri Phothisonothai, King Mongkut's Institute of Technology Ladkrabang (Thailand)\nChair: Montri Phothisonothai, King Mongkut's Institute of Technology Ladkrabang (Thailand)\nFP1-4.1: Depth Cue Combinations for Density Judgment in Three-Dimensional Display\nKentaro Yamamoto, Waseda University (Japan), Ricky K. C. Au, The Hong Kong Polytechnic University (Hong Kong), Katsumi Watanabe, Waseda University (Japan)\nFP1-4.2: Multi sensor system for automatic fall detection\nChokemongkol Nadee, King Mongkut's University of Technology Thonburi (KMUTT) (Thailand), Kosin Chamnongthai, King Mongkut's University of Technology Thonburi (KMUTT) (Thailand)\nFP1-4.3: Preference distorts visual space\nMiho Kitamura, Waseda University (Japan), Yousuke Kawachi, Tohoku Fukushi University (Japan), Jiro Gyoba, Tohoku University (Japan)\nFP1-4.4: An Investigation of using SSVEP for EEG-based User Authentication System\nFP1-4.5: Facial Expression Recognition with Emotion-Based Feature Fusion\nCigdem Turan, The Hong Kong Polytechnic University (Hong Kong), Kin-Man Lam, The Hong Kong Polytechnic University (Hong Kong), Xiangjian He, University of Technology, Sydney (Australia)\nFP1-4.6: Sparse Representation of Adaptive Key Frame Features for Human Action Classification\nKanokphan Lertniphonphan, Chulalongkorn University (Thailand), Supavadee Aramvith, Chulalongkorn University (Thailand), Thanarat Chalidabhongse, Chulalongkorn University (Thailand)\nOrganizer: Osamu Takyu, Shinhu University (Japan)\nChair: Osamu Takyu, Shinhu University (Japan)\nFP1-5.1: Room-Level Proximity Detection Using Beacon Frame From Multiple Access Points\nYugo Agata, Keio University (Japan), Jihoon Hong, Keio University (Japan), Tomoaki Ohtsuki, Keio University (Japan)\nFP4-5.2: Fusion Center Controlled Carrier Sense Multiple Access for Physical Wireless Parameter Conversion Sensor Networks\nKoji Kakinuma, The University of Electro-Communications (Japan), Shunsuke Takagi, The University of Electro-Communications (Japan), Shunta Sakai, The University of Electro-Communications (Japan), Takeo Fujii, The University of Electro-Communications (Japan)\nFP1-5.3: Performance Evaluation of the Physical Layer Security Using Artificial Noise and Relay Station\nJunichi Kabeya, Shinshu University (Japan), Osamu Takyu, Shinshu University (Japan), Tomoaki Ohtsuki, Keio University (Japan), Fumihito Sasamori, Shinshu University (Japan), Shiro Handa, Shinshu University (Japan)\nFP1-5.4: Service-Aware User-Centric Clustering and Scheduling for Cloud-RAN with Coordinated Multi-Point Transmission\nAnthony Beylerian, Keio University (Japan), Tomoaki Ohtsuki, Keio University (Japan)\nFP1-5.5: Operation of Reconfigurable Mobile Device for Spectrum Sharing\nKyunghoon Kim, Hanyang University (Korea), Yong Jin, Hanyang University (Korea), Donghyun Keum, Hanyang University (Korea), Seungwon Choi, Hanyang University (Korea), Markus Mueck, Intel Mobile Communications Group (Germany), Vladimir Ivanov, LG Electronics Inc., (Korea)\nFP1-5.6: Implementation of Reconfigurable Mobile Device with Licensed Shared Access Functionality\nYong Jin, Hanyang University (Korea), Kyunghoon Kim, Hanyang University (Korea), Seungwon Choi, Hanyang University (Korea), Markus Mueck, Intel Mobile Communications Group (Germany), Vladimir Ivanov, LG Electronics Inc.(Korea)\nOrganizers: Yoshinobu Kajikawa, Kansai University (Japan)\nChairs: Yoshinobu Kajikawa, Kansai University (Japan)\nFP1-6.1: Applying Primary Ambient Extraction for Immersive Spatial Audio Reproduction\nJianjun He, Nanyang Technological University (Singapore), Woon-Seng Gan, Nanyang Technological University (Singapore)\nFP4-6.2: Robust sound image localization for moving listener with curved-type parametric loudspeaker\nDaisuke Ikefuji, Ritsumeikan University (Japan), Masato Nakayama, Ritsumeikan University (Japan), Takanobu Nishiura, Ritsumeikan University (Japan), Yoichi Yamashita, Ritsumeikan University (Japan)\nFP1-6.3: Active Noise Control for Headrests\nAntonius Siswanto, Chung Yuan Christian University (Taiwan), Cheng-Yuan Chang, Chung Yuan Christian University (Taiwan), Sen M. Kuo, Chung Yuan Christian University (Taiwan)\nFP1-6.4: Modified Median FxLMS for Impulsive Noise Reduction in ANC\nPo-Wei Chiang, National Central University (Taiwan), Dah-Chung Chang, National Central University (Taiwan)\nChair: Tomek Rutkowski, University of Tsukuba (Japan)\nFP1-7.1: A Novel DNA Sequence Compression Scheme Using Both Intra and Inter Sequences Correlation\nK.O. Cheng, The Hong Kong Polytechnic University (Hong Kong), N.F. Law, The Hong Kong Polytechnic University (Hong Kong), W.C. Siu, The Hong Kong Polytechnic University (Hong Kong)\nFP1-7.2: Investigation of relation between speech perception and production based on EEG source reconstruction\nGuancheng Li, Tianjin University (China), Jianwu Dang, Tianjin University (China), Gaoyan Zhang, Tianjin University (China), Zhilei Liu, Tianjin University (China)\nFP1-7.3: Classification between Normal and Abnormal Lung Sounds Using Unsupervised Subject-Adaptation\nShunya Umeki, Nagasaki University (Japan), Masaru Yamashita, Nagasaki University (Japan), Shoichi Matsunaga, Nagasaki University (Japan)\nFP1-7.4: Distributed medical imaging applications using Java technology\nQiusha Min, Central China Normal University (China), Robert J.T. Sadleir, Dublin City University (Ireland)\nFP1-7.5: A Surface-Constrained Volumetric Alignment Method for Image Atlasing\nHao-Chiang Shao, Academia Sinica (Taiwan), Wen-Liang Hwang, Academia Sinica (Taiwan), Yung-Chang Chen, National Tsing Hua University (Taiwan)\nPlenary Industrial Forum\nType: Plenary Forum\nDate & Time: Friday, December 18, 16:00 - 17:00\nYi Hao, TCL Multimedia (China), Kevin Jou, MediaTek (Taiwan), Benoit Schillings, Yahoo! (U.S.A.), Yasunori Mochizuki, NEC (Japan)\nDate & Time: Saturday, December 19, 09:00 - 10:45\nChair: Qin Liu, Nanjing University (China)\nSA1-1.1: An Adherent Raindrop Detection Method Using MSER\nKoichi Ito, Tohoku University (Japan), Kazumasa Noro, Tohoku University (Japan), Takafumi Aoki, Tohoku University (Japan)\nSA1-1.2: A Comparison Study of Stationary and Mobile Eye Tracking on EXITs Design in a Wayfinding System\nYun Zhang, Xi'an Jiaotong University (China), Xiujuan Zheng, Sichuan University (China), Wei Hong, Xi'an Jiaotong University (China), Xuanqin Mou, Xi'an Jiaotong University (China)\nSA1-1.3: A Novel Algorithm For Shuttlecock Tracking\nZhishen Huang, The Chinese University of Hong Kong (Hong Kong), Wai-Kuen Cham, The Chinese University of Hong Kong (Hong Kong)\nSA1-1.4: Automatic Tongue Contour Tracking in Ultrasound Sequences without Manual Initialization\nHongcui Wang, Tianjin University (China), Siyu Wang, Tianjin University (China), Bruce Denby, Tianjin University (China), Jianwu Dang, Tianjin University (China),\nSA1-1.5: Ghost-Free High Dynamic Range Imaging via Moving Objects Detection and Extension\nBenkang Zhang, Nanjing University (China), Qin Liu, Nanjing University (China), Takeshi Ikenaga, Waseda University (Japan)\nSA1-1.6: Eye Corner Detection with Texture Image Fusion\nZhiyu Zhang, Shanghai Jiao Tong University (China), Yang Shen, Shanghai Jiao Tong University (China), Weiyao Lin, Shanghai Jiao Tong University (China), Bing Zhou, Zhengzhou University (China)\nDate & Time: Saturday, December 19, 09:00 - 10:30\nChairs: Chang-Chun Bao, Beijing University of Technology (China)\nHsin-Min Wang, Academia Sinica (Taiwan)\nSA1-2.1: Impact Noise Suppression Using Spectral Phase Estimation\nKohei Fujikura, Osaka University (Japan), Arata Kawamura, Osaka University (Japan), Youji Iiguni, Osaka University (Japan)\nSA1-2.2: Improving Denoising Auto-encoder Based Speech Enhancement With the Speech Parameter Generation Algorithm\nSyu-Siang Wang, National Taiwan University (Taiwan), Hsin-Te Hwang, Academia Sinica (Taiwan), Ying-Hui Lai, Academia Sinica (Taiwan), Yu Tsao, Academia Sinica (Taiwan), Xugang Lu, National Institute of Information and Communications Technology (Japan), Hsin-Min Wang, Academia Sinica (Taiwan), Borching Su, National Taiwan University (Taiwan)\nSA1-2.3: Multi-channel Feedforward ANC System Combined with Noise Source Separation\nSatoshi Kinoshita, Kansai University (Japan), Yoshinobu Kajikawa, Kansai University (Japan)\nSA1-2.4: Codebook-based Speech Enhancement with Bayesian LP Parameters Estimation\nQing Wang, Beijing University of Technology (China), Chang-Chun Bao, Beijing University of Technology (China)\nSA1-2.5: An Improved Dictionary Learning Method for Speech Enhancement\nYue Hao, Beijing University of Technology (China), Changchun Bao, Beijing University of Technology (China)\nChair: Helen Meng, Chinese University Hong Kong (Hong Kong)\nSA1-3.1: Incorporating Proximity Information in Relevance Language Modeling for Extractive Speech Summarization\nShih-Hung Liu, Academia Sinica (Taiwan), Hung-Shih Lee, Academia Sinica (Taiwan), Hsiao-Tsung Hung, National Taiwan Normal University (Taiwan), Kuan-Yu Chen, Academia Sinica (Taiwan), Berlin Chen, National Taiwan Normal University (Taiwan), Hsin-Min Wang, Academia Sinica (Taiwan), Hsu-Chun Yen, National Taiwan University (Taiwan), Wen-Lian Hsu, Academia Sinica (Taiwan)\nSA1-3.2: Synchrony in Prosodic and Linguistic Features between Backchannels and Preceding Utterances in Attentive Listening\nTatsuya Kawahara, Kyoto University (Japan), Takashi Yamaguchi, Kyoto University (Japan), Miki Uesato, Kyoto University (Japan), Koichiro Yoshino, Kyoto University (Japan), Katsuya Takanashi, Kyoto University (Japan)\nSA1-3.3: A Framework of Human-based Speech Transcription with a Speech Chunking Front-end\nTakashi Saito, Shonan Institute of Technology (Japan)\nSA1-3.4: A Two-pass Framework of Mispronunciation Detection & Diagnosis for Computer-aided Pronunciation Training\nXiaojun Qian, The Chinese University of Hong Kong (Hong Kong), Helen Meng, The Chinese University of Hong Kong (Hong Kong), Frank Soong, Microsoft Research Asia (China)\nSA1-3.5: A Spoken Dialog System with Redundant Response to Prevent User Misunderstanding\nMasaki Yamaoka, Okayama University (Japan), Sunao Hara, Okayama University (Japan), Masanobu Abe, Okayama University (Japan)\nOrganizers: Chang-Su Kim, Korea University (Korea)\nKyoung Mu Lee, Seoul National University (Korea)\nChair: Chang-Su Kim, Korea University (Korea)\nSA1-4.1: Near-Duplicate Video Clustering Using Multiple Complementary Video Signatures\nJun-Tae Lee, Korea University (Korea, The Republic of), Kyung-Rae Kim, Korea University (Korea, The Republic of). Won-Dong Jang, Korea University (Korea, The Republic of), Chang-Su Kim, Korea University (Korea, The Republic of)\nSA1-4.2: New Intra Prediction Methods Based on Channel Correlation and their Combination for Color Image Compression\nSang Heon Lee, LG Electronics (Korea, The Republic of), Dae-Hyun Lee, Seoul National University (Korea, The Republic of), Jewoong Ryu, Seoul National University (Korea, The Republic of), Nam Ik Cho, Seoul National University (Korea, The Republic of)\nSA1-4.3: Color Preserving Contrast Enhancement for Low Light Level Images based on Retinex\nHyo-Gi Lee, UNIST (Korea, The Republic of), Seungjoon Yang, UNIST (Korea, The Republic of), Jae-Young Sim, UNIST (Korea, The Republic of)\nSA1-4.4: Probabilistic Compression Artifacts Reduction Using Self-Similarity Based Noise Region Estimation\nOh-Young Lee, Korea University (Korea, The Republic of), Je-Ho Ryu, Korea University (Korea, The Republic of), Jong-Ok Kim, Korea University (Korea, The Republic of)\nSA1-4.5: Random Forest with Data Ensemble for Saliency Detection\nSeungjun Nah, Seoul National University (Korea, The Republic of), Kyoung Mu Lee, Seoul National University (Korea, The Republic of)\nOrganizer: Koichi Fujiwara, Kyoto University (Japan)\nChairs: Koichi Fujiwara, Kyoto University (Japan)\nToshitaka Yamakawa, Kumamoto University (Japan)\nSA1-5.1: Development of Stroke Detection Method by Heart Rate Variability Analysis and Support Vector Machine\nKeisuke Kamata, Kyoto University (Japan), Koichi Fujiwara, Kyoto University (Japan), Tomonobu Kodama, Kyoto University (Japan), Manabu Kano, Kyoto University (Japan), Toshitaka Yamakawa, Kumamoto University (Japan), Noritaka Kobayashi, Shimizu Hospital (Japan), Fuminori Shimizu, Shimizu Hospital (Japan)\nSA1-5.2: Heart Rate Monitoring by Pulse Sensor Embedded Game Controller\nErika Abe, Kyoto University (Japan), Hiroshi Chigira, NTT (Japan), Koichi Fujiwara, Kyoto University (Japan), Toshitaka Yamakawa, Kumamoto University (Japan), Manabu Kano, Kyoto University (Japan)\nSA1-5.3: CAccuracy Comparison of Two Microcontroller-embedded R-wave Detection Methods for Heart-rate Variability Analysis\nToshitaka Yamakawa, Kumamoto University (Japan), Ryunosuke Kinoshita, Kumamoto University (Japan) Koichi Fujiwara, Kyoto University (Japan), Manabu Kano, Kyoto University (Japan), Miho Miyajima, Tokyo Medical and Dental University (Japan), Tadashi Sakata, Kumamoto University (Japan), Yuichi Ueda, Kumamoto University (Japan)\nSA1-5.4: In-Home Measurement System of User's Motion and Center of Pressure\nTomoya Tamei, Nara Institute of Science and Technology (Japan), Yasuyuki Orito, Nara Institute of Science and Technology (Japan), Tomohiro Shibata, Kyushu Institute of Technology (Japan), Kazushi Ikeda, Nara Institute of Science and Technology (Japan)\nOrganizers: Li-Wei Kang, National Yunlin University of Science and Technology (Taiwan)\nChih-Yang Lin, Asia University (Taiwan)\nChairs: Chih-Yang Lin, Asia University (Taiwan)\nWen-Chuan Wu, Aletheia University (Taiwan)\nSA1-6.1: Lossless Contour Compression Using Morphology, Chain Coding, and Distribution Transform\nChing-Wen Hsiao, National Taiwan University (Taiwan), Jian-Jiun Ding, National Taiwan University (Taiwan), Po-Jen Chen, National Taiwan University (Taiwan)\nSA1-6.2: An Image Retargeting Scheme with Content-based Cropping and Local Significance Aware Seam Carving\nPo-Chyi Su, National Central University (Taiwan), Yung-Chieh Chou, National Central University (Taiwan)\nSA1-6.3: Power Saving on Mobile Devices Through Contrast-Aware Backlight Control\nVivian Yang, National Sun Yat-sen University (Taiwan), Jia-Ying Lin, National Sun Yat-sen University (Taiwan), Kyle Shih-Huang Lo, National Sun Yat-sen University (Taiwan), Chia-Hung Yeh, National Sun Yat-sen University (Taiwan), Chia-Chen Kuo, National Applied Research Laboratories (Taiwan), Li-Wei Kang, National Yunlin University of Science and Technology (Taiwan)\nSA1-6.4: Human Action Recognition Based on Non-negative Matrix Factorization\nChih-Yang Lin, Asia University (Taiwan), Bo-You Chen, National Chung Cheng University (Taiwan), Wen-Chuan Wu, Aletheia University (Taiwan),Wei-Yang Lin, National Chung Cheng University (Taiwan), Chia-Ling Tsai, Iona College (United States of America)\nSA1-6.5: Benchmarking Human Motion Analysis Using Kinect One: an open source dataset\nDaniel Leightley, Manchester Metropolitan University (United Kingdom), Moi Hoon Yap, Manchester Metropolitan University (United Kingdom), Jessica Coulson, Manchester Metropolitan University (United Kingdom), Yoann Barnouin, Jamie S. McPhee,Manchester Metropolitan University (United Kingdom), Manchester Metropolitan University (United Kingdom)\nChairs: Akira Hirabayashi, Ritsumeikan University (Japan)\nKazushi Ikeda, Nara Institute of Science and Technology (Japan)\nSA1-7.1: Improving the quality of compressed sensing MRI that exploits adjacent slice similarity\nNorihito Inamuro, Ritsumeikan University (Japan), Akira Hirabayashi, Ritsumeikan University (Japan)\nSA1-7.2: FDA Radar Ambiguity Function Optimization With Simulated Annealing Algorithm\nMiaomiao Dai, University of Electronic Science and Technology of China (China), Wen-Qin Wang, University of Electronic Science and Technology of China (China), Huaizong Shao, University of Electronic Science and Technology of China (China)\nSA1-7.3: A spectrum sensing method based on fractional lower order moments in weakly correlated Laplace noise\nYaping Bao, Nanjing Tech University (China), Yingdong Zhu, Nanjing Tech University (China), Xiaomei Zhu, Nanjing Tech University (China)\nSA1-7.4: Compressive Sensing-Based Range and Angle Estimation For Nested FDA Radar\nJie Xiong, University of Electronic Science and Technology of China (China), Wenqin Wang, University of Electronic Science and Technology of China (China), Hui Chen, University of Electronic Science and Technology of China (China), Huaizong Shao, University of Electronic Science and Technology of China (China)\nSA1-7.5: Evaluation of Compressive Sensing Encoding on AR Drone\nKaran Shetti, Airbus Group Innovations (Singapore), Asha Vijayakumar, Airbus Group Innovations (Singapore)\nDate & Time: Saturday, December 19, 11:00 - 12:00\nChair: Ray K.J. Liu, University of Maryland (U.S.A.)\nSA2-1.1: Transfer Learning for Speech and Language Processing\nDong Wang, Tsinghua University (China), Thomas Fang Zheng, Tsinghua University (China)\nSA2-1.2: Signal and Information Processing Applications for the Smart Grid\nAnthony Kuh, University of Haiwaii (U.S.A.)\nDate & Time: Saturday, December 19, 11:00 - 12:45\nChair(s): Haizhou Li, Institute for Infocomm Research A*Star(Singapore)\nJianwu Dang, Japan Advanced Institute of Science and Technology (Japan)\nSA2-2.1: Estimation of Binaural Intelligibility Using the Frequency-Weighted Segmental SNR of Stereo Channel Signals\nKazuya Taira, Yamagata University (Japan), Kazuhiro Kondo, Yamagata University (Japan)\nSA2-2.2: Distance Metric Learning for Kernel Density-Based Acoustic Model Under Limited Training Data Conditions\nVan Hai Do, Nanyang Technological University (Singapore), Xiong Xiao, Nanyang Technological University (Singapore), Eng Siong Chng, Nanyang Technological University (Singapore), Haizhou Li, Institute for Infocomm Research A*Star(Singapore)\nSA2-2.3:A Density Peak Clustering Approach to Unsupervised Acoustic Subword Units Discovery\nJia Yu, Northwestern Polytechnical University (China), Lei Xie, Northwestern Polytechnical University (China), Xiong Xiao, Nanyang Technological University (Singapore), Eng Siong Chng, Nanyang Technological University (Singapore), Haizhou Li, Institute for Infocomm Research, A*STAR (Singapore)\nSA2-2.4: Vowel Normalization by Articulatory Information\nJingshu Zhang, Tianjin University (China),Jianguo Wei, Tianjin University (China),Wenhuan Lu, Tianjin University (China),Qiang Fang, Chinese Academy of Social Sciences (China),Kiyoshi Honda, Tianjin University (China),,Jianwu Dang, Tianjin University (China)\nSA2-2.5:Influences of Auditory and Vibrotactile Information on Vocal F0 Responses\nXiaozhen Wang, Tianjin University (China), Kiyoshi Honda, Tianjin University (China), Jianwu Dang, Tianjin University (China), Hongcui Wang, Tianjin University (China), Jianguo Wei, Tianjin University (China)\nSA2-2.6: Relationship between Speaker/Listener Similarity and Information Transmission Quality in Speech Communication\nBohan Chen, Nagoya University (Japan), Norihide Kitaoka, Tokushima University (Japan), Kazuya Takeda, Nagoya University (Japan)\nDate & Time: Saturday, December 19, 11:00 - 12:30\nOrganizers: Junyu Dong, Ocean University of China (China)\nMuwei Jian, Ocean University of China (China)\nHansheng Lei, University of Texas in Brownsville (USA)\nFlorent Autrusseau, University of Nantes (France)\nHui Yu, University of Portsmouth (UK)\nChair: Junyu Dong, Ocean University of China (China)\nSA2-4.1:Self-taught Recovery of Depth Data\nPan Yang, Ocean University of China (China), Haoran Zhao, Ocean University of China (China), Lin Qi, Ocean University of China (China), Guoqiang Zhong, Ocean University of China (China)\nSA2-4.2: A Texture Retrieval Scheme Based on Perceptual Features\nYanhai Gan, Ocean University of China (China), Xiaoxu Cai, Ocean University of China (China), Jun Liu, Qingdao Agricultural University (China, Shengke Wang, Ocean University of China (China)\nSA2-4.3: 3D Reconstruction from Single Texture Image Based on Patch Matching and Optimization\nYujuan Sun, Ocean University of China (China), Muwei Jian, Ocean University of China (China), Shengke Wang, Ocean University of China (China), Xin Sun, Ocean University of China (China)\nSA2-4.4: Perceptual Texture Retrieval Using Spatial Distributions of Textons (SDoT)\nXinghui Dong, Heriot-Watt University (United Kingdom), Junyu Dong, Ocean University of China (China), Shengke Wang, Ocean University of China (China), Mike J. Chantler, Heriot-Watt University (United Kingdom)\nSA2-4.5:Gabor Feature Based Discriminative Dictionary Learning for Period Order Detection in Fringe Projection Profilometry\nB. Budianto, The Hong Kong Polytechnic University (Hong Kong), Daniel P.K. Lun, The Hong Kong Polytechnic University (Hong Kong)\nOrganizers: Supavadee Aramvith, Chulalongkorn University (Thailand)\nRosanna Yuen-Yan Chan, The Chinese University of Hong Kong (Hong Kong)\nLu Yonghe, Sun Yat-Sen University (China)\nChair: Rosanna Yuen-Yan Chan, The Chinese University of Hong Kong (Hong Kong)\nSA2-5.1:Web Page Segmentation Based on the Hough transform and Vision Cues\nTingting Wei, Sun Yat-sen University (China), Yonghe Lu, Sun-Yat Sen University (China), Xuanjie Li, Sun-Yat Sen University (China), Jinglun Liu, Sun-Yat Sen University (China)\nSA2-5.2: Image Smoothing Using Spatial Iterative Methods Based on Accelerated Iterative Shrinkage\nDabwitso Kasauka, Hokkaido University (Japan), Hiroshi Tsutsui, Hokkaido University (Japan), Hiroyuki Okuhata, Synthesis Corporation (Japan), Takashi Imagawa, Hokkaido University (Japan) Yoshikazu Miyanaga, Hokkaido University (Japan)\nSA2-5.3: Topic Extraction from Millions of Tweets using Singular Value Decomposition and Feature Selection\nTakako Hashimoto, Chiba University of Commerce (Japan), Tetsuji Kuboyama, Gakushuin University (Japan), Basabi Chakraborty, Iwate Prefectural University (Japan)\nChairs: Pei-Yu Lin, Yuan Ze University (Taiwan)\nYi-Hui Chen, Asia University (Taiwan)\nSA2-6.1:An Efficient Sky Detection Algorithm Based on Hybrid Probability Model\nChi-Wei Wang, National Taiwan University (Taiwan), Jian-Jiun Ding, National Taiwan University (Taiwan), Po-Jen Chen, National Taiwan University (Taiwan)\nSA2-6.2: Diverse Augmented Reality Exhibitions for Differential Users Based upon Private Quick Response Code\nPei-Yu Lin, Yuan Ze University (Taiwan), Chin-Hung Teng, Yuan Ze University (Taiwan), Yi-Hui Chen, Asia University (Taiwan)\nSA2-6.3: Joint SVD and QR Codes for Image Authentication\nWen-Chuan Wu, Aletheia University (Taiwan), Zi-Wei Lin, Aletheia University (Taiwan), Chi-Shiang Chan, Aisa University (Taiwan), Chih-Yang Lin, Asia University (Taiwan)\nSA2-6.4:Multilayered Information Encryption Scheme with Fine-grained Authentication\nYi-Hui Chen, Asia University of M-Commerce and Multimedia Applications (Taiwan), Ching-Hu Lu, National Taiwan University of Science and Technology, Taiwan (Taiwan), Po-Yu Hsu, Asia University of M-Commerce and Multimedia Applications (Taiwan)\nSA2-6.5: An Audio Watermarking Scheme Based on Automatic Parameterized Singular-Spectrum Analysis Using Differential Evolution Jessada Karnjana, Thammasat University (Thailand), Pakinee Aimmanee, Thammasat University (Thailand), Masashi Unoki, Japan Advanced Institute of Science and Technology (Japan), Chai Wutiwiwatchai, National Electronics and Computer Technology Center (Thailand)\nSA2-6.6: An Analysis-by-Synthesis Encoding Approach for Multiple Audio Objects\nZiyu Yang, Beijing University of Technology (China), Maoshen Jia, Beijing University of Technology (China), Changchun Bao, Beijing University of Technology (China), Wenbei Wang, Beijing University of Technology (China)\nChairs: Masato Akagi, Japan Advanced Institute of Science and Technology (Japan)\nMinghui Dong, Institute for Infocomm Research (Singapore)\nSA2-7.1:Emotional speech synthesis system based on a three-layered model using a dimensional approach\nYawen Xue, Japan Advanced Institute of Science and Technology (Japan), Yasuhiro Hamada, Meiji University (Japan), Masato Akagi, Japan Advanced Institute of Science and Technology (Japan)\nSA2-7.2: A Probabilistic Interpretation for Artificial Neural Network-based Voice Conversion\nHsin-Te Hwang, Academia Sinica (Taiwan), Yu Tsao, Academia Sinica (Taiwan), Hsin-Min Wang, Academia Sinica (Taiwan), Yih-Ru Wang, National Chiao Tung University (Taiwan), Sin-Horng Chen, National Chiao Tung University (Taiwan)\nSA2-7.3: A Waveform Representation Framework for High-quality Statistical Parametric Speech Synthesis\nBo Fan, Northwestern Polytechnical University (China), Siu Wa Lee, Institute for Infocomm Research (Singapore), Xiaohai Tian, Nanyang Technological University (Singapore), Lei Xie, Northwestern Polytechnical University (China), Minghui Dong, Institute for Infocomm Research (Singapore)\nSA2-7.4:Aliasing-free implementation of discrete-time glottal source models and their applications to speech synthesis and F0 extractor evaluation\nHideki Kawahara, Wakayama University (Japan), Ken-Ichi Sakakibara, Health Sciences University of Hokkaido (Japan), Hideki Banno, Meijo University (Japan), Masanori Morise, University of Yamanashi (Japan), Tomoki Toda, Nagoya University, Toshio Irino, Wakayama University (Japan)\nSA2-7.5: Mapping Frames with DNN-HMM Recognizer for Nonparallel Voice Conversion Minghui Dong, Institute for Infocomm Research A*Star (Singapore), Chenyu Yang, Institute for Infocomm Research A*Star (Singapore), Yanfeng Lu, Institute for Infocomm Research A*Star (Singapore), Jochen Walter Ehnes, Institute for Infocomm Research A*Star (Singapore), Dongyan Huang, Institute for Infocomm Research A*Star (Singapore), Huaiping Ming, Institute for Infocomm Research A*Star (Singapore), Rong Tong, Institute for Infocomm Research A*Star (Singapore), Siu Wa Lee, Institute for Infocomm Research A*Star (Singapore), Haizhou Li, Institute for Infocomm Research A*Star (Singapore)\nSA2-7.6: Chinese Syllable-to-Character Conversion with Recurrent Neural Network based Supervised Sequence Labelling\nYi Liu, Peking University (China), Jing Hua, Peking University (China), Xiangang Li, Peking University (China), Tong Fu, Peking University (China), Xihong Wu, Peking University (China)\nSN1: Friend Lab Session\nDate & Time: Saturday, December 19, 12:30 - 14:00\nChair: Hitoshi Kiya, Tokyo Metropolitan University (Japan)\nPresenters: Gwo Giun Lee, National Cheng Kung University (Taiwan)\nKosin Chamnongthai, King Mongkut’s University of Technology Thonburi (Thailand)\nKokSheik Wong, University of Malaya (Malaysia)\nHitoshi Kiya, Tokyo Metropolitan University (Japan)\nSanghoon Lee, (Video Participant) (Korea)\nDate & Time: Saturday, December 19, 14:00 - 15:30\nChair: Jay C.C. Kuo, University of Southern California (U.S.A.)\nSP1-1.1:Sparse Adaptive Filters - an Overview and Some Emerging Trends\nMrityunjoy Chakraborty, Indian Institute of Technology, Kharagpur (India)\nSP1-1.2: Biomedical signal processing and systems’ state of the arts and future research challenges\nSP1-1.3: Face Recognition from Low-resolution to High-resolution\nKenneth K.M. Lam, The Hong Kong Polytechnic University (Hong Kong)\nDate & Time: Saturday, December 19, 14:00 - 15:45\nChair(s): Sadaoki Furui, Toyota Technological Institute at Chicago (U.S.A.)\nSP1-2.1:Comparative Whisper Vowel Space for Singapore English and British English Accents\nHamid R. Sharifzadeh, Unitec Institute of Technology (New Zealand), Iman T. Ardekani, Unitec Institute of Technology (New Zealand), Ian V. McLoughlin, The University of Kent (United Kingdom)\nSP1-2.2: Investigation of Learning Trajectory of Mandarin for Tibetan Speakers\nHuixia Wang, Tianjin University (China), Jianwu Dang, Tianjin University (China), Hui Feng, Tianjin University (China), Hongcui Wang, Tianjin University (China), Yang Yu, Tianjin University (China), Kiyoshi Honda, Japan Advanced Institute of Science and Technology (Japan)\nSP1-2.3: Pronunciation Modeling of Loanwords for Korean ASR Using Phonological Knowledge and Syllable-based Segmentation\nHyuksu Ryu, Seoul National University (Korea, The Republic of), Minsu Na, Seoul National University (Korea, The Republic of), Minhwa Chung, Seoul National University (Korea, The Republic of)\nSP1-2.4:A Corpus-Based Analysis of Korean Segments Produced by Chinese Learners\nSeung Hee Yang, Seoul National University (Korea, The Republic of), Hyuksu Ryu, Seoul National University (Korea, The Republic of), Minhwa Chung, Seoul National University (Korea, The Republic of)\nSP1-2.5: Automatic Assessment of Non-native Accent Degrees using Phonetic Level Posterior and Duration Features from Multiple Languages Shushan Chen, Sun Yat-sen University (China), Yiming Zhou, Zhejiang University (China), Ming Li, Sun Yat-sen University (China)\nSP1-2.6: Scalable I-vector Concatenation for PLDA based Language Identification System\nSaad Irtza, UNSW (Australia), Haris Bavattichalil, UNSW (Australia), Vidhyasaharan Sethu, UNSW (Australia), Eliathamby Ambikairajah, UNSW (Australia)\nChair: Cheng Cai, Northwest A&F University (China)\nSP1-4.1:Image Classification Using Pairwise Local Observations Based Naive Bayes Classifier\nShih-Chung Hsu, National Tsing Hua University (Taiwan), I-Chieh Chen, National Tsing Hua University (Taiwan), Chung-Ling Huang, Asia University (Taiwan)\nSP1-4.2: Chinese Opera Genre Classification Based on Multi-feature Fusion and Extreme Learning Machine\nJianRong Wang, Tianjin University (China), ChenLiang Wang, Tianjin University (China), JianGuo Wei, Tianjin University (China), JianWu Dang, Tianjin University (China)\nSP1-4.3: Weed Seeds Classification Based on PCANet Deep Learning Baseline\nXinshao Wang, Northwest A&F University (China), Cheng Cai, Northwest A&F University (China)\nSP1-4.4:A Document Classification with Spherical Word Vectors\nYiqiao Pan, Tsinghua University (China), Dong Wang, Tsinghua University (China), Chao Xing, Tsinghua University (China)\nSP1-4.5: Rotation-invariant Histograms of Oriented Gradients for Local Patch Robust Representation Zhaojie Luo, Kobe University (Japan), Jinhui Chen, Kobe University (Japan), Tetsuya Takiguchi, Kobe University (Japan), Yasuo Ariki, Kobe University (Japan)\nSP1-4.6: Design of Oversampled Cosine-Sine Modulated Filter Banks for Directional Image Representation\nRyutaro Ogawa, The University of Kitakyushu (Japan), Seisuke Kyochi, The University of Kitakyushu (Japan), Taizo Suzuki, University of Tsukuba, (Japan)\nOrganizers: Bin Li, Shenzhen University (China)\nShunquan Tan, Shenzhen University (China)\nChair: Bin Li, Shenzhen University (China)\nSP1-5.1:GOP Based Automatic Detection of Object-based Forgery in Advanced Video\nShunquan Tan, Shenzhen University (China), Shengda Chen, Sun Yat-sen University (China),Bin Li, Shenzhen University (China)\nSP1-5.2: HIGH CAPACITY REVERSIBLE DATA HIDING BASED ON MATRIX CODING AND BITMAP COMPRESSION\nLingling Wan, Southwest Jiao-tong University (China), Fan Chen, Southwest Jiao-tong University (China), Hongjie He, Southwest Jiao-tong University (China)\nSP1-5.3: Perceptual Image Hashing Using Block Truncation Coding and Local Binary Pattern\nXueqin Chen, University of Shanghai for Science and Technology (China), Chuan Qin, University of Shanghai for Science and Technology (China), Ping Ji, University of Shanghai for Science and Technology (China)\nSP1-5.4:A New Detector of LSB Matching Steganography Based On Likelihood Ratio Test for Multivariate Gaussian Covers\nGuangyuan Yang, Peking University (China), Xiaolong Li, Peking University (China), Bin Li, Shenzhen University (China), Zongming Guo, Peking University (China)\nSP1-5.5: Hybrid Dictionary Learning for JPEG Steganalysis Zhihao Xu, Dalian University of Technology (China), Yanqing Guo, Dalian University of Technology (China), Jun Guo, Dalian University of Technology (China), Xiangwei Kong,Dalian University of Technology (China)\nSP1-5.6: Reversible Steganography: Data Hiding for Covert Storage\nZhuo Zhang, University of Science and Technology of China (China), Weiming Zhang, University of Science and Technology of China (China)\nOrganizer: Jing-Ming Guo, National Taiwan University of Science and Technology (Taiwan)\nChair: Jing-Ming Guo, National Taiwan University of Science and Technology (Taiwan)\nSP1-6.1:Multilayer Image Disparity Estimation and Blending for Light Field Cameras\nShih-Chang Chuang, National Taiwan University (Taiwan), Jian-Jiun Ding, National Taiwan University (Taiwan), Po-Jen Chen, National Taiwan University (Taiwan)\nSP1-6.2: Horizontal Adaptive Disparity Estimation Scheme for Stereoscopic Images\nSzu-Wei Fu, National Taiwan University (Taiwan), Jian-Jiun Ding, National Taiwan University (Taiwan), Ching-Wen Hsiao, National Taiwan University (Taiwan), Po-Jen Chen, National Taiwan University (Taiwan)\nSP1-6.3: An Efficient VLSI Architecture for Discrete Wavelet Transform\nChih-Hsien Hsia, Chinese Culture University (Taiwan)\nSP1-6.4: A Near-Duplicate Video Retrieval Method Based on Zernike Moment\nTang Yu Chang, National Cheng Kung University (Taiwan), Guo-Shiang Lin, Da-Yeh University (Taiwan), Shen-Chuan Tai, National Cheng Kung University (Taiwan)\nSP1-6.5: Content-Based Image Retrieval Using Direct Binary Search Block Truncation Coding Features Jing-Ming Guo, National Taiwan University of Science and Technology (Taiwan), Heri Prasetyo, National Taiwan University of Science and Technology (Taiwan)\nChair: Shi-wook Lee, Intelligent Systems Research Institute, AIST (Japan)\nSP1-7.1:Score Normalization using Phoneme-based Entropy for Spoken Term Detection\nHiromitsu Nishizaki, University of Yamanashi (Japan), Naoki Sawada, University of Yamanashi (Japan)\nSP1-7.2: On the study of very low-resource language keyword search\nVan Tung Pham, Nanyang Technological University (Singapore), Haihua Xu, Nanyang Technological University (Singapore), Van Hai Do, Nanyang Technological University (Singapore), Tze Yuang Chong, Nanyang Technological University (Singapore), Xiong Xiao, Nanyang Technological University (Singapore), Eng Siong Chng, Nanyang Technological University (Singapore), Haizhou Li, Institute for Infocomm Research (Singapore)\nSP1-7.3: Multilingual Exemplar-Based Acoustic Model for the NIST Open KWS 2015 Evaluation\nVan Hai Do, Nanyang Technological University (Singapore), Xiong Xiao, Nanyang Technological University (Singapore), Haihua Xu, Nanyang Technological University (Singapore), Eng Siong Chng, Nanyang Technological University (Singapore), Haizhou Li, Institute for Infocomm Research A*STAR(Singapore)\nSP1-7.4: CALIBRATION OF WORD POSTERIOR ESTIMATION IN CONFUSION NETWORKS FOR KEYWORD SEARCH\nZhiqiang Lv, Tsinghua University (China), Meng Cai, Tsinghua University (China), Wei-Qiang Zhang, Tsinghua University (China), Jia Liu, Tsinghua University (China)\nSP1-7.5: Rescoring by a Deep Neural Network for Spoken Term Detection Ryota Konno, Iwate Prefectural University (Japan), Kazunori Kojima, Iwate Prefectural University (Japan), Shi-wook Lee, National Institute of Advanced Industrial Science and Technology (Japan), Kazuyo Tanaka, University of Tsukuba (Japan), Yoshiaki Itoh, Iwate Prefectural University (Japan)\nDate & Time: Saturday, December 19, 16:00 - 17:30\nChairs: Yo-Sung Ho, Gwangju Institute of Science and Technology (Korea, The Republic of)\nYui-Lam Chan, The Hong Kong Polytechnic University (Hong Kong)\nSP2-1.1:Early Determination of Intra Mode and Segment-wise DC Coding for Depth Map Based on Hierarchical Coding Structure in 3D-HEVC\nHong-Bin Zhang, The Hong Kong Polytechnic University (Hong Kong), Sik-Ho Tsang, The Hong Kong Polytechnic University (Hong Kong), Yui-Lam Chan, The Hong Kong Polytechnic University (Hong Kong), Chang-Hong Fu, Nanjing University of Science and Technology (China), Wei-Min Su, Nanjing University of Science and Technology (China)\nSP2-1.2: 3D Shape Retrieval from a Photo Using Intrinsic Image\nShoki Tashiro, Toyohashi University of Technology (Japan), Masaki Aono, Toyohashi University of Technology (Japan)\nSP2-1.3: Temporal Stereo Disparity Estimation with Graph cuts\nEu-Tteum Baek, Gwangju Institute of Science and Technology (GIST) (Korea, The Republic of), Yo-Sung Ho, Gwangju Institute of Science and Technology (GIST) (Korea, The Republic of)\nSP2-1.4: LITTLEHELPER: AN AUGMENTED REALITY GLASS APPLICATION TO ASSIST INDIVIDUALS WITH AUTISM IN JOB INTERVIEW\nQingguo Xu, University of Kentucky (U.S.A.), Sen-Ching Samson Cheung, University of Kentucky (U.S.A.), Neelkamal Soares, Geisinger Health System (U.S.A.)\nSP2-1.5: A Real-time Virtual Dressing System with RGB-D Camera\nMingliang Chen, Shanghai Jiao Tong University (China), Weiyao Lin, Shanghai Jiao Tong University (China), Bing Zhou, Zhengzhou University (China)\nChairs: Kazumasa Yamamoto, Toyohashi University of Technology (Japan)\nSP2-2.1:Bottleneck Features from SNR-Adaptive Denoising Deep Classifier for Speaker Identification\nZhili Tan, The Hong Kong Polytechnic University (Hong Kong), Man-Wai Mak, The Hong Kong Polytechnic University (Hong Kong)\nSP2-2.2: Feature-Space Structural MAPLR with Regression Tree-based Multiple Transformation Matrices for DNN\nHiroki Kanagawa, Mitsubishi Electric Corporation (Japan), Yuuki Tachioka, Mitsubishi Electric Corporation (Japan), Shinji Watanabe, Mitsubishi Electric Research Laboratories (United States of America), Jun Ishii, Mitsubishi Electric Corporation (Japan)\nSP2-2.3: Deep Neural Network-Based Speech Recognition with Combination of Speaker-Class Models\nTetsuo Kosaka, Yamagata University (Japan), Kazuki Konno, Yamagata University (Japan), Masaharu Kato, Yamagata University (Japan)\nSP2-2.4: Deep Neural Network based Acoustic Model Using Speaker-Class Information for Short Time Utterance\nHiroshi Seki, Toyohashi University of Technology (Japan), Kazumasa Yamamoto, Toyohashi University of Technology (Japan), Seiichi Nakagawa, Toyohashi University of Technology (Japan)\nChairs: Stephen Cox, University of east Anglia (United Kingdom)\nKe-Bin Jia, Beijing University of Technology (China)\nSP2-4.1:Selective Aggregated Descriptors for Robust Mobile Image Retrieval\nJie Lin, Institute for Infocomm Research, A*STAR (Singapore), Zhe Wang, Peking University (China), Yitong Wang, Peking University (China), Vijay Chandrasekhar, Institute for Infocomm Research, A*STAR (Singapore), Liyuan Li, Institute for Infocomm Research, A*STAR (Singapore)\nSP2-4.2: The Main Lighting Direction Estimation for the Uniform Texture Images\nYujuan Sun, Ludong University (China), Qingtang Su, Ludong University (China), Xiaofeng Zhang, Ludong University (China), Peng Liu, Ludong University (China)\nSP2-4.3: Interactive Segmentation for Manga using Lossless Thinning and Coarse Labeling\nYuji Aramaki, The University of Tokyo (Japan), Yusuke Matsui, The University of Tokyo (Japan), Toshihiko Yamasaki, The University of Tokyo (Japan), Kiyoharu Aizawa, The University of Tokyo (Japan)\nSP2-4.4: Detection of Anomalous Events in a Tennis Game Using Multimodal Information\nQiang Huang, University of Edinburgh (United Kingdom), Stephen Cox, University of east Anglia (United Kingdom)\nSP2-4.5: Orientation and Scale Invariant Binary Descriptor Based on Haar Wavelet\nMeng Yao, Beijing University of Technology (China), Ke-Bin Jia, Beijing University of Technology (China), Wan-Chi Siu, Hong Kong Polytechnic University (Hong Kong)\nOrganizers: Rafael E. Banchs, Institute for Infocomm Research (I2R) (Singapore)\nSakriani Sakti, Nara Institute of Science and Technology (NAIST) (Japan)\nChair: Jiang Ridong, Institute for Infocomm Research (I2R) (Singapore)\nSP2-5.1:Configuration of Dialogue Agent with Multiple Knowledge Sources\nRidong Jiang, Institute for Infocomm Research (Singapore), Rafael E. Banchs, Institute for Infocomm Research (Singapore), Seokhwan Kim, Institute for Infocomm Research (Singapore), Luis F. D'Haro, Institute for Infocomm Research (Singapore), Andreea I. Niculescu, Institute for Infocomm Research (Singapore), Kheng Hui Yeo, Institute for Infocomm Research (Singapore)\nSP2-5.2: Automatic Ranking of Swear Words using Word Embeddings and Pseudo-Relevance Feedback\nLuis Fernando D'Haro, Human Language Technologies A*STAR,(Singapore), Rafael E. Banchs, Human Language Technologies A*STAR,(Singapore)\nSP2-5.3: On the Difficulty of Improving Hand-crafted Rules in Chat-oriented Dialogue Systems\nRyuichiro Higashinaka, NTT Corporation (Japan), Toyomi Meguro, NTT Corporation (Japan), Hiroaki Sugiyama, NTT Corporation (Japan), Toshiro Makino, NTT Corporation (Japan), Yoshihiro Matsuo, NTT Corporation (Japan)\nSP2-5.4: Architecture and representation for handling dialogues in human-robot interactions\nEloy Retamino, TUM-CREATE (Singapore), Suraj Nair, TUM-CREATE (Singapore), Aravindkumar Vijayalingam, TUM-CREATE (Singapore), Alois Knoll, TUM-CREATE (Singapore)\nSP2-5.5: A Robust Spoken Q&A System with Scarce In-Domain Resources\nLuis Fernando D'Haro, Institute for Infocomm Research A*STAR (Singapore), Seokhwan Kim, Institute for Infocomm Research A*STAR (Singapore), Rafael E. Banchs, Institute for Infocomm Research A*STAR (Singapore)\nOrganizers: Raveendran Paramesran, University of Malaya ( Malaysia)\nChairs: Raveendran Paramesran, University of Malaya ( Malaysia)\nSP2-6.1:Comparative analysis of the color perception loss for elderly people\nMohd Fikree Hassan, University of Malaya (Malaysia), Takumi Kugimiya, Shinshu University (Japan), Yoshiki Tanaka, Chukyo Medical Co. Inc. (Japan), Kiyoshi Tanaka, Shinshu University (Japan), Raveendran Paramesran, University of Malaya (Malaysia)\nSP2-6.2: A Near-Lossless Image Compression System with Data Hiding Capability\nMasaaki Fujiyoshi, Tokyo Metropolitan University (Japan), Hitoshi Kiya, Tokyo Metropolitan University (Japan)\nSP2-6.3: HEVC Selective Encryption using Transform Skip Signal and Sign Bin\nYiqi Tew, University of Malaya (Malaysia), Kazuki Minemura, University of Malaya (Malaysia), Koksheik Wong, University of Malaya (Malaysia)\nChair: Jia-Ching Wang, National Central University (Taiwan)\nSP2-7.1:Music Emotion Recognition Using Deep Gaussian Process\nSih-Huei Chen, National Central University (Taiwan), Yuan-Shan Lee, National Central University (Taiwan), Wen-Chi Hsieh, National Central University (Taiwan), Jia-Ching Wang, National Central University (Taiwan)\nSP2-7.2: A Novel Codebook Representation Method and Encoding Strategy For Bag-of-Words Based Acoustic Event Classification\nJia Dai, Chinese Academy of Sciences, China (China), Chongjia Ni, Shandong University of Finance and Economics, China (China), Wei Xue, Chinese Academy of Sciences, China (China), Wenju Liu, Chinese Academy of Sciences, China (China)\nSP2-7.3: An i-vector GPLDA System for Speech based Emotion Recognition\nKalani Wataraka Gamage, UNSW (Australia), Vidhyasaharan Sethu, UNSW (Australia), Phu Ngoc Le, UNSW (Australia), Eliathamby Ambikairajah, UNSW (Australia)\nSP2-7.4: Daily Activity Recognition Based on Acoustic Signals and Acceleration Signals Estimated with Gaussian Process\nMasafumi Nishida, Nagoya University (Japan), Norihide Kitaoka, Tokushima University (Japan), Kazuya Takeda, Nagoya University (Japan)\nCopyright © by Asia-Pacific Signal and Information Processing Association. All rights reserved.


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url: =1School of Life Science, Liaoning Normal University, Liushunan Street No. 1, 116029 Dalian, Liaoning, China\n2Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Linggong Road No. 2, 116023 Dalian, Liaoning, China\nWater Sci Technol (2012) 65 (8): 1375–1382.


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url: =产品中心您现在的位置：广东麻将 > 产品展示 > 压力仪表 > 压力表 > Meriam M200-DI液用手持智能压力计-美国美亚原装进口\n广东麻将Meriam M200-DIYEYONGSHOUCHIZHINENGYALIJI-MEIGUOMEIYAYUANZHUANGJINKOUKEDUIYE/SHIYACHAYINGYONGJINXINGGAOJINGDUCELIANG。M200-DIYEKEYINGYONGYUQIANZAIFUSHIXING/SHIQITI。SHIRUNBUFENJUNCAIYONGDAIFUXIANGJIAOOXINGQUANDE316LBUXIUGANG（QITACAILIAO，QINGZIXUNGONGCHANG）。BENZHIANQUANMOSHIDADAOMEIGUOBIAOZHUNJISHUYANJIUSUOKESUJINGDU±0.05%FS（±0.025%FS KEXUAN），ZAI23° ZHI 122℉FANWEINEIBUSHOUWENDUYINGXIANG。JINGQUEDUBIAOZAI-4 ° ZHI 122℉SHIYONGYUTONGYONGMOSHI。\nMeriam M200-DI液用手持智能压力计-美国美亚原装进口广东麻将可对液/湿压差应用进行高精度测量。M200-DI也可应用于潜在腐蚀性/湿气体。湿润部分均采用带氟橡胶O型圈的316L不锈钢（其他材料，请咨询工厂）。本质安全模式达到美国标准技术研究所可溯精度±0.05%FS(±0.025%FS 可选)，在23° 至 122℉范围内不受温度影响。精确度表在-4 ° 至 122℉适用于通用模式。\nYALILIANGCHENGWEI0-1 PSIDDAO0-500 PSID。SUOYOULIANGCHENGWEIEDING1000 PSIGONGMOYALI。GAOCEEDINGCHAOYAWEI3X F.S，ERDICEEDINGCHAOYAWEI3X F.S. HUO 150 PSI（YIJIAODIZHEWEIZHUN）。KEXUANCHONGXIDUANKOU（DAIDING），YUNXURONGJIQINGLICHUP1HEP2DUANKOUHUOKEYONGYUPAICHULAIZIYETIYINGYONGLIANJIEGUANDEQITI。\nGAIXIANSHIQIKEYIXIANSHISHIYIZHONGYALIDANWEI，YEKEDUITESHUYONGHUDANWEIJINXINGXIANXINGKEDUXIANSHI。LIULIANGPINGFANGGENGONGNENGKESHIM200-DI YIYONGHUDINGYIDEGONGCHENGDANWEILAIXIANSHILIULIANG。YONGHUKEXUANZUNITEXINGKESHIMAIDONGDEYINGXIANGZUIXIAOHUA。Min/Max GONGNENGKEBUHUOMAIDONGJIZHI，HoldGONGNENGKEZAIRENHEMUBIAOXINXIDIANDINGZHUXIANSHIJIEMIAN。ZIDONGJILUWENJIANDUODA240GEDUSHU，YIBEIJIANGLAIDIAOYONG。\n广东麻将Ex ia IIC T4\nJINP2（DICE）：3X F.S.HUO150 PSI，YIJIAOSHAOZHEWEIZHUN\nYONGHUKEXUANSHIJIANCHANGSHUFANWEIWEI0.1 ZHI 25MIAO，ZHISHUJIANFU\n30 ANGSI(6.5”×3.6”×2.25”) JUTANSUANZHI, CHIJIUHAOSAN, ESD FANGHU\n5/16-24 SAE/MS J1926CHONGXIDUANKOUDAI316LBUXIUGANGCHATOU（GE2GE，KEXUAN）\n广东麻将CHUCUNWENDU：-40℉DAO 140℉(-40℃DAO 60℃)\n-4℉DAO 122℉(-20℃DAO 50℃) G.P. JIXING\nDI0001 0-1 PSID 差压\nDI0005 0-5 PSID 差压\nDI0015 0-15 PSID 差压\nDI0030 0-30 PSID 差压\nDI0100 0-100 PSID 差压\nDI0300 0-300 PSID 差压\nDI0500 0-500 PSID 差压\n广东麻将Class I,Div.1 Groups A,B,C,D, T4\n广东麻将Class I, Zone 0, Ex ia IIC T4\n±F.S. 0.025％HUO+ 0.05％F.S。\nZ1066-11:广东麻将 M10-KT液压剪泵，0-10,000 PSIG，包括软管，配件和随身包\n版权所有：深圳市亿杰仪表有限公司 备案号： 总访问量：114493 站点地图 技术支持：


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