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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 451  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
- 2024-03-14
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
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
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]
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
US 2023-08-21
15:30
Tokyo Tokyo Tech Front, Tokyo Tech (Ookayama Campus) Ultrasonic 3D imaging with distributed electrodes and a single transmitter/receiver circuit
Eiko Nakazawa, Mohammad Syaryadhi, Norio Tagawa (Tokyo Metropolitan Univ.) US2023-35
Array probes with arrayed transducers are commonly used in ultrasound systems. This system is expensive due to the need ... [more] US2023-35
pp.24-29
SIP 2023-08-08
11:40
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
Lossy Compression of Adjacency Matrices by Graph Filter Banks
Kenta Yanagiya, Junya Hara, Hiroshi Higashi, Yuichi Tanaka (Osaka Univ.) SIP2023-57
In this paper, we propose a compression framework for adjacency matrices of weighted graphs by graph filter banks. Adjac... [more] SIP2023-57
pp.49-54
IT 2023-08-03
14:30
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
An Asymmetric Encoding-Decoding Scheme for Lossless Data Compression
Hirosuke Yamamoto (Univ. of Tokyo), Ken-ichi Iwata (Univ. of Fukui) IT2023-17
ANS (Asymmetric Numeral Systems) are new lossless data-compression-coding systems that can achieve almost the same compr... [more] IT2023-17
pp.17-22
MSS, CAS, SIP, VLD 2023-07-06
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
A Study on Golomb Coding for Scrambled Domain Layered Coding Compatible with JPEG XS
Takayuki Nakachi (Univ. of the Ryukyus), Hiroyuki Kimiyama (Daido), Mitsuru Murayama (KAIST) CAS2023-10 VLD2023-10 SIP2023-26 MSS2023-10
In this report, we propose a Golomb coding method for scrambled domain layered coding compatible with JPEG XS. The propo... [more] CAS2023-10 VLD2023-10 SIP2023-26 MSS2023-10
pp.47-52
US 2023-06-16
15:00
Kyoto Muromachi Campus, Doshisha University Ultrasonic Micro-Displacement Measurement System with Thermophone for Non-Contact Cardiac Pulse Monitoring
Takaaki Asada, Shinichi Sasaki, Yuma Watabe (Murata Mfg. Co., Ltd.) US2023-13
Non-contact vital sign monitoring is expected to be used for medical applications or driver health monitoring. Airborne ... [more] US2023-13
pp.20-25
CCS, NLP 2023-06-08
14:30
Tokyo Tokyo City Univ. Nonlinear Compression Characteristics of an Ergodic Cellular Automaton Cochlear Model
Koki Sone, Hiroyuki Torikai (Hosei Univ) NLP2023-16 CCS2023-4
In this paper, an ergodic cellular automaton (CA) cochlear model is introduced. It is shown that the model can reproduce... [more] NLP2023-16 CCS2023-4
pp.13-16
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
10:20
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Evaluation of Multi-edge Object Detection System using Deep Feature Compression Transmission
Kohji Yamada, Yuichiro Kora, Meguru Yamazaki, Xuying Lei (Fujitsu) SeMI2023-13
Collaborative Intelligence has been proposed to divide DNN model and perform inferences collaborating on edge and cloud.... [more] SeMI2023-13
pp.53-57
 Results 1 - 20 of 451  /  [Next]  
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