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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 737  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP 2024-06-13
14:55
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
A Consideration on Reducing the Influence of Array Errors in DOA Estimation Using Compressed Sensing
Nobuyoshi Kikuma, Kokoa Nakano, Kunio Sakakibara, Yoshiki Sugimoto (NITech)
(To be available after the conference date) [more]
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] 2024-06-07
13:40
Niigata Nigata University (Ekinan-Campus "TOKIMATE") Quality Control Method on H.264 for Data Size Reduction of Industrial Videos
Takahiro Naruko, Hiroaki Akutsu (Hitachi)
(To be available after the conference date) [more]
IT, EMM 2024-05-30
16:00
Chiba Chiba University (Nishi-Chiba Campus) Asymmetric encoding-decoding schemes for first-order Markov sources
Hirosuke Yamamoto (U. of Tokyo), Ken-ichi Iwata (U.of Fukui)
(To be available after the conference date) [more]
CCS 2024-03-27
16:50
Hokkaido RUSUTSU RESORT JPEG Compression Quality Setting Considering Image Quality and Information Loss for Correlated Steganography
Mariiko Aikawa, Sumiko Miyata (SIT), Kaito Hosono, Hirotsugu Kinoshita (KU) CCS2023-50
As more and more confidential information, including personal information, is transmitted and received over the Internet... [more] CCS2023-50
pp.64-69
RCC, ISEC, IT, WBS 2024-03-13
11:35
Osaka Osaka Univ. (Suita Campus) Proxy Re-Authentication Capable of Key and Data Compression
Yoshiro Matsuoka, Sohto Chiku (YNU), Keisuke Hara (AIST/YNU), Junji Shikata (YNU) IT2023-83 ISEC2023-82 WBS2023-71 RCC2023-65
In this paper, we propose a new cryptographic protocol called proxy re-authentication capable of key and data compressio... [more] IT2023-83 ISEC2023-82 WBS2023-71 RCC2023-65
pp.52-59
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
14:30
Hokkaido Hokkaido Univ. Optimizing Division Schemes with Mixture of Experts for Medical Data Compression
Jiancheng Zhao, Takefumi Ogawa (Utokyo) ITS2023-73 IE2023-62
Implicit Neural Representation (INR) is an emerging technique for data compression that utilizes the parameters of a Dee... [more] ITS2023-73 IE2023-62
pp.145-150
RECONF, VLD 2024-01-29
15:30
Kanagawa AIRBIC Meeting Room 1-4
(Primary: On-site, Secondary: Online)
An FPGA-based data compressor for state vector quantum simulators
Kaijie Wei, Hideharu Amano (Keio Univ.), Ryohei Niwase (Tsukuba Univ.), Takefumi Miyoshi (WasaLabo), Yoshiki Yamaguchi (Tsukuba Univ.) VLD2023-87 RECONF2023-90
A quantum computer simulator is a tool to emulate the operation of a quantum computer on a classical computer. It is a c... [more] VLD2023-87 RECONF2023-90
pp.41-46
SR 2024-01-25
10:55
Nagano Nagano-ken JA building
(Primary: On-site, Secondary: Online)
Joint Sensing of Wideband Sparse Angular-Frequency Spectrum based on Compressive Sensing -- Experimental Verification in the 4.8GHz Band --
Azril Haniz, Hirokazu Sawada, Takeshi Matsumura (NICT) SR2023-70
Recent trends have shown that spectrum regulators are opening up more shared spectrum bands for fifth generation mobile ... [more] SR2023-70
pp.9-16
EMT, PN, MWPTHz, IEE-EMT [detail] 2024-01-22
11:35
Kyoto Kyoto Univ. Yoshida Campus Reduction of influence of phase modulation for SBS mitigation on output power enhancement in photonic- based 10 GHz generation by optical pulse compression.
Yuma Sakai, Keita Ogawa, Masayuki Suzuki, Hiroyuki Toda (Doshisha Univ) PN2023-50 EMT2023-90 MWPTHz2023-78
We numerically demonstrate reduction of influence of optical phase modulation for SBS mitigation on output power enhance... [more] PN2023-50 EMT2023-90 MWPTHz2023-78
pp.17-21
EMM 2024-01-17
09:30
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
A Reversible Data Hiding Method in Compressible Encrypted Domain for OpenEXR Images
Noa Kikuchi, Shoko Imaizumi (Chiba Univ.) EMM2023-84
In this paper, we propose a method to achieve high-capacity reversible data hiding (RDH) for OpenEXR images with compres... [more] EMM2023-84
pp.20-25
EMM 2024-01-17
10:55
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Detecting Adversarial Examples using Filtering Operation Based on JPEG-Compression-Derived Distortion
Kenta Tsunomori (Okayama Univ.), Minoru Kuribayashi (Tohoku Univ.), Nobuo Funabiki (Okayama Univ.) EMM2023-87
Image classifiers based on convolutional neural networks are caused misclassification by adversarial perturbations. In t... [more] EMM2023-87
pp.38-43
CPSY, IPSJ-ARC, IPSJ-HPC 2023-12-06
17:15
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
An Efficient Sparse Matrix Storage Format for Sparse Matrix-Vector Multiplication and Sparse Matrix-Transpose-Vector Multiplication on GPUs
Ryohei Izawa, Yasushi Inoguchi (JAIST) CPSY2023-37
The utilization of sparse matrix storage formats is widespread across various fields, including scientific computing, ma... [more] CPSY2023-37
pp.58-63
NLP 2023-11-29
16:10
Okinawa Nago city commerce and industry association Stochastic Digital Cochlea Model for Mimicking Fundamental Characteristics of Mammalian Cochlea
Sone Koki, Torikai Hiroyuki (Hosei Univ.) NLP2023-81
This paper introduces a stochastic digital cochlear model. The study demonstrates that the model is capable of mimicking... [more] NLP2023-81
p.89
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
14:10
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
Configuration Data Compression for SLM Fine-grained Reconfigurable Logic
Souhei Takagi, Takuya Kozima, Hideharu Amano (Keio Univ), Morihiro Kuga, Masahiro Iida (Kumamoto Univ) VLD2023-72 ICD2023-80 DC2023-79 RECONF2023-75
SLM (Scalable Logic Module) is a fine-grained reconfigurable logic developed by Kumamoto University, characterized by it... [more] VLD2023-72 ICD2023-80 DC2023-79 RECONF2023-75
pp.215-220
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
15:40
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine -- Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory --
Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara (IVIS), Hakaru Tamukoh (kyutech) VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78
This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir wi... [more] VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78
pp.231-236
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
15:15
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
Evaluation of the power consumption of the codec chip EG2C for a visual prosthesis
Shogo Hirayama, Naoya Tanaka, Yoshinori Takeuchi (Kindai Univ.) VLD2023-78 ICD2023-86 DC2023-85 RECONF2023-81
To implement a visual prosthesis, it is essential to reduce the power consumption of the entire system, as well as to pr... [more] VLD2023-78 ICD2023-86 DC2023-85 RECONF2023-81
pp.249-254
RISING
(3rd)
2023-10-31
14:00
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Optimal Compression Rate for Multiple Data Compression Techniques in Data Parallel Distributed Deep Learning
Ryudai Fukuda, Takuji Tachibana (Univ. Fukui)
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more]
AP 2023-10-19
13:00
Iwate Iwate University
(Primary: On-site, Secondary: Online)
[Poster Presentation] Evaluation of Relative Permittivity Estimation of Material Filled in Thin Waveguide Using Compressed Sensing
Masahiro Takishima, Naoki Honma, Kentaro Murata (Iwate Univ.) AP2023-103
This paper proposes a compressed-sensing-based method to estimate the relative permittivity of material filled in a thin... [more] AP2023-103
pp.59-60
NS 2023-10-05
10:10
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Communication Scheduling Based on Heuristic Algorithm in Distributed Deep Learning
Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) NS2023-86
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] NS2023-86
pp.83-88
CQ, MIKA
(Joint)
(2nd)
2023-08-31
10:50
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] Virtual Machine Placement Method Using Autoencoder-Based Traffic Estimator
Ami Yamamoto, Takahiro Matsuda (TMU), Junichi Higuchi, Takeshi Kodama, Takashi Shiraishi (Fujitsu)
In a cloud computing environment with networked virtual machines(VMs) and networked physical hosts, we proposed a traffi... [more]
 Results 1 - 20 of 737  /  [Next]  
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