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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 61  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2023-12-08
13:50
Nagasaki ARKAS SASEBO
(Primary: On-site, Secondary: Online)
A Multiple Target Seed Generation Method for Random Pattern Resistant Faults Using a Compatible Fault Set on Built-in Self Test
Takanobu Sone, Toshinori Hosokawa (Nihon Univ.), Masayoshi Yoshimura (Kyoto Sangyo Univ.), Masayuki Arai (Nihon Univ.) DC2023-88
In recent years, with high density of very large-scale integrated circuits, it has become impractical to store a large n... [more] DC2023-88
pp.7-12
OCS, LQE, OPE 2023-05-26
16:05
Online Online [Special Invited Talk] Real-time 50-Gbit/s Spatially Multiplexed Quantum Random Number Generator
Ken Tanizawa, Kentaro Kato, Fumio Futami (Tamagawa Univ.) OCS2023-7 OPE2023-7 LQE2023-7
Unpredictable random number generation is an essential technology for cryptographic applications. Quantum random number ... [more] OCS2023-7 OPE2023-7 LQE2023-7
pp.26-31
SCE 2023-01-20
14:10
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Introduction of a fluctuation mechanism of the oscillation frequency of the oscillator-based random number generator using Josephson oscillation
Takeshi Onomi (Fukuoka Inst. Tech.) SCE2022-15
An oscillator-based true random number generator using superconducting single flux quantum circuits and Josephson oscill... [more] SCE2022-15
pp.12-16
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2022-07-20
14:50
Online Online Distributed Random Number Generation Method on Smart Contracts
Kentaro Sako (Waseda Univ), Shin'ichiro Matsuo (Georgetown Univ), Tatsuya Mori (Waseda Univ) ISEC2022-25 SITE2022-29 BioX2022-50 HWS2022-25 ICSS2022-33 EMM2022-33
We propose N-choice game (NCG), a decentralized pseudo-random number generation method that can be executed on smart con... [more] ISEC2022-25 SITE2022-29 BioX2022-50 HWS2022-25 ICSS2022-33 EMM2022-33
pp.104-109
CCS, NLP 2022-06-10
09:25
Osaka
(Primary: On-site, Secondary: Online)
On Auto-Correlation Properties of Random Numbers Generated by Two Markov Binary Sequences
Shuzo Okuno, Akio Tsuneda (Kumamoto Univ.) NLP2022-13 CCS2022-13
Markov binary sequences generated by 2-state Markov source are one of typical information sources and they have exponent... [more] NLP2022-13 CCS2022-13
pp.62-65
SR 2022-01-24
10:50
Online Online [Invited Talk] Research & Development of Robust CoMP for Millimeter Communications with Random Blockages
Koji Ishibashi, Sota Uchimura (UEC), Tetsuya Iye, Yoshimi Fujii (KKE), Takahide Murakami, Hiroyuki Shinbo (KDDI Research, Inc.) SR2021-60
Next-generation mobile communications (Beyond 5G/6G) have to meet diverse demands of users such as ultra-high speed, low... [more] SR2021-60
p.11
BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2021-07-20
16:20
Online Online Implementation and Evaluation of a Ring Oscillator Type True Random Number Generator (2)
Ryuichi Minagawa, KevinHideaki Omae, Kotarou Hayashi, Naoya Torii (Soka Univ.) ISEC2021-27 SITE2021-21 BioX2021-28 HWS2021-27 ICSS2021-32 EMM2021-32
A true random number generator (TRNG) is suitable for securing key generation and nonce generation on IoT devices. The r... [more] ISEC2021-27 SITE2021-21 BioX2021-28 HWS2021-27 ICSS2021-32 EMM2021-32
pp.104-109
RCS 2021-06-23
13:10
Online Online Investigation of Transmitter Filtering Method for Random Access with Channel Identifier Linked Receiver Beamforming
Shogo Uchida (Tokyo Univ. of Science), Nobuhide Nonaka (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2021-37
This paper investigates a transmitter filtering (TF) method for random access using physical channel identifier (PCID)-l... [more] RCS2021-37
pp.49-55
CPM 2021-03-03
10:45
Online Online Magnetic domain of highly-Bi-doped sputtered garnet films for a random number generator
Izumi Nakamura, Shutaro Yoshida, Shinichiro Mito (NITTC) CPM2020-61
Physical random number generator is necessary to generate true random numbers. However, a physical random number generat... [more] CPM2020-61
pp.22-25
CPM 2021-03-03
11:00
Online Online Investigation of a LPE garnet films for a random number generator
Kaishu Yamada, Shinitirou Mito, Akitarou Yoshida (NITTC) CPM2020-62
Single-crystal magnetic garnet films with perpendicular magnetic anisotropy has maze magnetic domain pattern.
The patt... [more]
CPM2020-62
pp.26-29
CPM 2021-03-03
11:15
Online Online Development of a fast compact random number generator using magneto-optical effects
Shutaro Yoshida, Izumi Nakamura, Kaishu Yamada, Shinichiro Mito (NITTC) CPM2020-63
High quality and fast random number generation is important for security and simulation. This study aims to realize a co... [more] CPM2020-63
pp.30-33
SCE 2021-01-19
14:35
Online Online Design and Evaluation of Random Number Generators Based on Non-Adiabatic Quantum-Flux-Parametron Gates
Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2020-20
We propose a random number generator (RNG) using non-adiabatic quantum-flux-parametron (QFP) gates. The RNG is a simple ... [more] SCE2020-20
pp.19-23
RCS, AP, UWT
(Joint)
2020-11-25
11:20
Online Online Investigation of Preamble Design Appropriate for Random Access Achieving Multi-Packet Reception
Kou Watanuki, Kenichi Higuchi (Tokyo Univ. of Science) RCS2020-113
Random access for multi-packet reception is considered to be an promising technology component for the 5th generation mo... [more] RCS2020-113
pp.17-23
SITE, ISEC, HWS, EMM, BioX, IPSJ-CSEC, IPSJ-SPT, ICSS [detail] 2020-07-21
10:00
Online Online Performance Evaluation of True Random Number Generator Using Latches
Naoya Torii, Hideaki Kevin Omae (Soka Univ.) ISEC2020-24 SITE2020-21 BioX2020-27 HWS2020-17 ICSS2020-11 EMM2020-21
The use of a physical random number generator (TRNG) is suitable for secure key generation of IoT devices and secure non... [more] ISEC2020-24 SITE2020-21 BioX2020-27 HWS2020-17 ICSS2020-11 EMM2020-21
pp.69-74
EA, EMM 2019-11-23
11:10
Ishikawa Kanazawa Institute of Technology [Invited Talk] Velvet noise and frequency domain variants of Velvet noise -- The unexpected emergence of a strange signal forces us to revisit sounds and auditory perception --
Hideki Kawahara (Wakayama Univ.) EA2019-65 EMM2019-93
A sparse and random sequence of 1 and -1 sounds like noise. Moreover, it sounds smoother than white Gaussian noise and c... [more] EA2019-65 EMM2019-93
pp.69-74
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
11:20
Nagasaki Fukue Culture Center A random number generation method for hardware implemented neural networks
Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2019-1
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks su... [more] SIS2019-1
pp.1-4
QIT
(2nd)
2019-05-21
15:50
Fukuoka Kyushu University, Chikushi Campus Quantum Computer Status Check via Output Random Numbers Sequence
Kentaro Tamura, Yutaka Shikano (Keio Univ.)
The stochastic nature of quantum computers allows the generation of true random numbers. This is because the measurement... [more]
HWS, VLD 2019-03-01
10:50
Okinawa Okinawa Ken Seinen Kaikan Reinforcing Generation of Instruction Sequences in Random Testing of Android Virtual Machine
Ryotaro Shimizu, Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2018-124 HWS2018-87
This article presents a method of reinforcing generation of instruction sequences in random testing of the Android virtu... [more] VLD2018-124 HWS2018-87
pp.187-192
RCS 2018-06-22
11:20
Nagasaki Nagasaki University Performance Evaluation of IDMA-based Random Access with Various Frequency Block Structures
Koki Fukushima (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2018-73
This paper studies an interleave division multiple access (IDMA)-based random access in order to support massive machine... [more] RCS2018-73
pp.225-229
NLP 2018-04-26
16:50
Kumamoto Kumaoto Univ. Interval Algorithm for Random Number Generation in the Case of Markov Coin Tossings
Yasutada Oohama (Univ. Electro-Communications) NLP2018-12
In this paper we analyze the interval algorithm for random number
generation proposed by Han and Hoshi in the case of M... [more]
NLP2018-12
pp.53-58
 Results 1 - 20 of 61  /  [Next]  
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