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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, IT, RCS | 2018-01-22 11:15 |
Kagawa | Sunport Hall Takamatsu | A Consideration on Conditions of Extended Binary Memoryless Sources where Different Huffman Codes are Constructed
-- A Case that Combined Symbols Belong to the Same Group in the First and Second Steps of the Reduction -- Nozomi Miya (Aoyama Gakuin Univ.), Takahiro Yoshida (Yokohama College of Commerce), Hajime Jinushi (Aoyama Gakuin Univ.)  IT2017-61 SIP2017-69 RCS2017-275 |
Different Huffman codes, i.e., different codeword sets constructed in Huffman coding are given for $n$-th degree extende... [more] | IT2017-61 SIP2017-69 RCS2017-275 pp.37-42 |
| LOIS, ICM | 2018-01-18 10:00 |
Kumamoto | Sojo University | Joint data compression and packet-level forward erasure correction based on network data rate and loss rate Yoshihisa Kuwahara, Masato Tsuru (KIT) ICM2017-33 LOIS2017-49 |
In case of outdoor settings, IoT (Internet of Things) devices such as sensors often use low data-rate wireless channels ... [more] | ICM2017-33 LOIS2017-49 pp.1-6 |
| AP, RCS (Joint) |
2017-11-08 16:20 |
Fukuoka | Fukuoka University | Channel Compression for Massive MIMO based on Multi-Dimensional Scaling with Channel Prediction Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2017-221 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation). However, th... [more] | RCS2017-221 pp.93-98 |
| EMM | 2017-11-07 10:00 |
Kagoshima | Kagoshima Univ. (Inamori Academy) | Compression-Friendly Reversible Data Hiding for Privacy Protection Minoru Kuribayashi (Okayama Univ.), Vaibhav B. Joshi, Mehul S. Raval (Ahmedabad Univ.) EMM2017-61 |
Usually in the study of reversible data hiding for digital image, the evaluation criteria is the trade-off between paylo... [more] | EMM2017-61 pp.33-38 |
| MVE | 2017-10-19 11:35 |
Hokkaido | KitamiInstitute of Technology | Chest compressions simulator that presents vibrations at the moment of rib fracture
-- Sustainability of compression position learning effect -- Takuya Yamamoto, Yasuyuki Yanagida (Meijo Univ.) MVE2017-26 |
When compressing the chest, the compression position is considered to be one of the factors affecting the survival rate.... [more] | MVE2017-26 pp.13-16 |
| SIS, IPSJ-AVM | 2017-10-12 13:20 |
Nara | Todaiji Culture Center | A JPEG-Friendly Image Encryption Scheme Ayana Kawamura, Tatsuya Chuman, Kenta Iida, Hitoshi Kiya (Tokyo Metropolitan Univ.) SIS2017-22 |
Conventional secure image transmission systems are based on Compression-then-Encryption systems, where image encryption ... [more] | SIS2017-22 pp.7-12 |
| US | 2017-10-05 15:20 |
Miyagi | Pulse compression of parametric sound using M-sequence phase modulation Riku Nishioka, Hideyuki Nomura (UEC) US2017-61 |
The application of pulse compression to parametric ultrasound using chirp modulation have been proposed to realize low-f... [more] | US2017-61 pp.27-32 |
|
| SS, KBSE, IPSJ-SE [detail] | 2017-07-19 10:20 |
Hokkaido | Graph compression by tree grammars and direct evaluation of a node selection query on a compressed graph Takeshi Takeda, Kenji Hashimoto, Hiroyuki Seki (Nagoya Univ.) SS2017-1 KBSE2017-1 |
Graphs expressing relationships between real-world data tend to be extremely large, and researches on graph compression ... [more] | SS2017-1 KBSE2017-1 pp.1-6 |
|
| IT | 2017-07-13 16:20 |
Chiba | Chiba University | [Invited Talk]
Compression by Substring Enumeration and its Related Methods Hidetoshi Yokoo (Gunma Univ.) IT2017-26 |
This paper surveys the universal data compression method known as Compression by Substring Enumeration (CSE), developed ... [more] | IT2017-26 pp.55-60 |
| IT | 2017-07-14 14:45 |
Chiba | Chiba University | Improved Lossless Data Compression via Substring Enumeration with a Finite Alphabet Takahiro Ota (Nagano Prefectural Inst. of Tech.), Hiroyoshi Morita (UEC) IT2017-34 |
Compression by substring enumeration (CSE) is a lossless universal coding algorithm.Experimental results show that the c... [more] | IT2017-34 pp.103-108 |
| RCS | 2017-06-23 10:50 |
Okinawa | Ishigaki Shoukou Kaikan | Adaptive Initial Interpolation Vector Setting Method for Iterative Time-Domain Compression Method of MIMO Channel State Information Masafumi Iizuka (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2017-84 |
In this paper, we investigate the adaptive setting for initial interpolation vector in our previously reported iterative... [more] | RCS2017-84 pp.203-208 |
| US | 2017-04-27 10:55 |
Tokyo | Experimental evaluation of spatial resolution in low-frequency parametric ultrasound image Hideyuki Nomura (UEC) US2017-2 |
The penetration depth of high-frequency ultrasound is limited since the ultrasound at high frequency is much attenuated ... [more] | US2017-2 pp.5-10 |
|
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 10:35 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Chest compressions simulator that presents vibrations at the moment of rib fracture
-- Proposal of compression position learning method -- Takuya Yamamoto, Yasuyuki Yanagida (Meijo Univ.) IMQ2016-43 IE2016-158 MVE2016-66 |
When compressing the chest, the compression position is considered to be one of the factors affecting the survival rate.... [more] | IMQ2016-43 IE2016-158 MVE2016-66 pp.143-148 |
| OPE, EST, LQE, EMT, PN, MWP, IEE-EMT [detail] | 2017-01-18 11:15 |
Mie | Iseshi Kanko Bunka Kaikan | Output Power Enhancement by Optical Pulse Compression in Photonic-Based RF Generation
-- Phase Noise Measurement -- Takashi Yamaguchi, Hiroki Morimoto, Hiroyuki Toda (Doshisha Univ.) PN2016-55 EMT2016-84 OPE2016-130 LQE2016-119 EST2016-94 MWP2016-68 |
Microwave and millimeter-wave generation based on photonic technology is promising for many applications. In this techni... [more] | PN2016-55 EMT2016-84 OPE2016-130 LQE2016-119 EST2016-94 MWP2016-68 pp.81-85 |
| COMP, ISEC | 2016-12-22 10:30 |
Hiroshima | Hiroshima University | [Invited Talk]
Theory and Practice of Succinct Data Structures Kunihiko Sadakane (Univ. of Tokyo) ISEC2016-82 COMP2016-43 |
Succinct data structures are data structures that can compress data to the limit and perform search and other operations... [more] | ISEC2016-82 COMP2016-43 p.71 |
| SIS | 2016-12-08 11:20 |
Hiroshima | Hiroshima City Univ. | Lossy Coding of Wave Field Data Using Singular Value Decomposition Mao Liji, Mitsuji Muneyasu, Kyoji Matsushima, Soh Yoshida (Kansai Univ.), Akira Taguchi (Tokyo City Univ.) SIS2016-30 |
This paper proposes a lossy compression technique for wave field in computer holography. As a 3D display technique, holo... [more] | SIS2016-30 pp.13-18 |
| MBE, NC (Joint) |
2016-12-07 13:55 |
Aichi | Toyohashi University of Technology | Information processing model of "Beauty" based on prediction and compression Shimizu Takuto, Nishii Jun (Yamaguchi Univ.) NC2016-41 |
Previous studies on "Beauty" have explained that understanding is important to judge the beauty of objects, and discover... [more] | NC2016-41 pp.7-12 |
| DC, SS | 2016-10-27 13:15 |
Shiga | Hikone Kinro-Fukushi Kaikan Bldg. | Error Correction Method for Interblock Burst Error of PPM Compression Takuya Muroi, Masato Kitakami (Chiba Univ.) SS2016-21 DC2016-23 |
PPM compression is one of the best compression method in compression ratio. Data compression method is essential in com... [more] | SS2016-21 DC2016-23 pp.19-24 |
| CPSY, IPSJ-ARC | 2016-10-06 10:00 |
Chiba | Makuhari-messe | [Poster Presentation]
A Loss-Less Data Compression Algorithm for GPUs Shunji Funasaka, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2016-46 |
There is no doubt that data compression is very important in computer engineering. However, most lossless data compressi... [more] | CPSY2016-46 pp.19-24 |
| IT | 2016-07-29 13:10 |
Fukuoka | Seminar House, Fukuoka Univ. | A Consideration on Generator Matrix Structures for Space-Time Coded MIMO Radar Keisuke Kawahara, Daisuke Umehara, Koichiro Wakasugi (KIT) IT2016-32 |
We have already proposed a code construction scheme for MIMO radars based on a space-time coding and complementary codes... [more] | IT2016-32 pp.63-68 |
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