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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EE 2021-01-25
10:55
Online Online (Zoom) Aged Deterioration Detection of DC-DC Converter
Yasuyuki Koga (NiAS), Yudai Furukawa (Fukuoka University), Kazuhiro Kajiwara, Nobumasa Matsui, Fujio Kurokawa (NiAS), Yoshiyasu Nakashima, Yu Yonezawa (FUJITSU Advanced Technology) EE2020-27
In recent years, information and communication services have continued to develop, and the power supply is one of their ... [more] EE2020-27
pp.22-26
DC 2020-12-11
13:00
Hyogo
(Primary: On-site, Secondary: Online)
A Degradation Prediction of Circuit Delay Using A Gradient Descent Method
Seiichirou Mori, Masayuki Gondou, Yousuke Miyake, Takaaki Kato, Seiji Kajihara (Kyutech) DC2020-59
As the risk of aging-induced faults of VLSIs is increasing, highly reliable systems require to predict when the aging-in... [more] DC2020-59
pp.1-6
DC 2019-12-20
16:30
Wakayama   Aging Observation using On-Chip Delay Measurement in Long-term Reliability Test
Yousuke Miyake, Takaaki Kato, Seiji Kajihara (Kyutech), Masao Aso, Haruji Futami, Satoshi Matsunaga (Syswave), Yukiya Miura (TMU) DC2019-85
Avoidance of delay-related faults due to aging phenomena is an important issue of VLSI systems. Periodical delay measure... [more] DC2019-85
pp.37-42
R 2019-11-28
16:25
Osaka Central Electric Club Reliability Methodologies for Degradation Predictions Based on Hierarchical Bayesian Modeling and Machine Learning
Toru Kaise, Toyohiko Egami (Univ. of Hyogo) R2019-49
Degradation processes are significant for making values of reliability.
Particularly, it is known that stochastic model... [more]
R2019-49
pp.35-38
MSS, CAS, IPSJ-AL [detail] 2018-11-13
13:50
Shizuoka   A Study of Degradation Diagnosis of Lithium-ion Battery Using Neural Networks
Masahito Arima, Lei Lin, Masahiro Fukui (Ritsumeikan Univ.) CAS2018-73 MSS2018-49
The battery aggregation of lithium-ion battery is studied in order to solve the problem of output fluctuation and time m... [more] CAS2018-73 MSS2018-49
pp.111-114
EE 2018-01-30
13:35
Oita Satellite Campus Oita Failure Prediction Using Low Stability Phenomenon of Digitally Controlled SMPS by Electrolytic Capacitor ESR Degradation
Hiroshi Nakao, Yu Yonezawa, Yoshiyasu Nakashima (Fujitsu LAB), Fujio Kurokawa (NiAS) EE2017-71
Electrolytic capacitors are known as one of the highest failure rate components in switching mode power supply SMPS). We... [more] EE2017-71
pp.165-170
VLD 2015-03-03
09:40
Okinawa Okinawa Seinen Kaikan Methodology for Reduction of Timing Margin by Considering Correlation between Process Variation and BTI
Michitarou Yabuuchi, Kazutoshi Kobayashi (Kyoto Inst. of Tech.) VLD2014-163
We analyze the efficiency of the design methodology by using circuit
simulations. The design methodology which consider... [more]
VLD2014-163
pp.61-66
R 2014-11-20
13:45
Osaka   Prediction of performance degradation and lifetime for semiconductor devices using markov chain model
Kai Momoda, Koichi Endo, Yoshihiro Midoh, Katsuyoshi Miura, Koji Nakamae (Osaka Univ.) R2014-61
We study on a method to predict performance degradation and lifetime of semiconductor devices under the assumption that ... [more] R2014-61
pp.1-5
IPSJ-SLDM, CPSY, RECONF, VLD [detail] 2014-01-29
14:50
Kanagawa Hiyoshi Campus, Keio University Prediction Model for Process Variation and BTI-Induced Degradation by Measurement Data on FPGA
Michitarou Yabuuchi, Kazutoshi Kobayashi (Kyoto Inst. of Tech.) VLD2013-129 CPSY2013-100 RECONF2013-83
We propose a prediction model for BTI-induced degradation by
measurement data on 65nm-process FPGAs. BTI-induced degrad... [more]
VLD2013-129 CPSY2013-100 RECONF2013-83
pp.161-166
EMD, R 2011-02-18
15:00
Shizuoka Shizuoka Univ. (Hamamatsu) Detection of degradation sign of LSI operation using IDDQ
Shunsuke Sakamoto, Masaru Sanada (KUT) R2010-46 EMD2010-147
VDD supply current (IDDQ) information has been applied to detect LSI evaluation technology, IDDQ which has high fault de... [more] R2010-46 EMD2010-147
pp.25-30
ICD
(Workshop)
2010-08-16
- 2010-08-18
Overseas Ho Chi Minh City University of Technology [Invited Talk] Circuit Failure Prediction by Field Test (DART) with Delay-Shift Measurement Mechanism
Yasuo Sato, Seiji Kajihara (Kyusyu Institute of Technology), Michiko Inoue, Tomokazu Yoneda, Satoshi Ohtake, Hideo Fujiwara (NAIST), Yukiya Miura (Tokyo Metropolitan Univ.)
The main task of test had traditionally been screening of hard defects before shipping. However, current chips are takin... [more]
 Results 1 - 11 of 11  /   
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