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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
16:15
Okinawa Okinawa Institute of Science and Technology Imputation of Missing Time-Series Multimodal Data with Variational Autoencoder
Ryoichi Kojima, Shinya Wada, Kiyohito Yoshihara (KDDI Research) IBISML2019-8
Data is often missing and that results in negative effects on subsequent data analysis and creating machine learning mod... [more] IBISML2019-8
pp.51-55
AI 2018-08-27
15:50
Osaka   Bayesian Inference for Field of Physical Quantity from Data obtained at several Locations
Masato Ota, Takeshi Okadome (KG Univ.) AI2018-23
This paper proposes a novel method for estimating the physical quantity at every location (physical quan- tity field) fr... [more] AI2018-23
pp.55-60
VLD 2015-03-03
14:35
Okinawa Okinawa Seinen Kaikan [Memorial Lecture] Area Efficient Device-Parameter Estimation using Sensitivity-Configurable Ring Oscillator
Shoichi Iizuka, Yuma Higuchi, Masanori Hashimoto, Takao Onoye (Osaka Univ.) VLD2014-169
This paper proposes an area efficient device parameter estimation method with sensitivity-configurable ring oscillator (... [more] VLD2014-169
p.95
RECONF, CPSY, VLD, IPSJ-SLDM [detail] 2015-01-29
17:00
Kanagawa Hiyoshi Campus, Keio University Temperature sensor applying Body Bias in Silicon-on-Thin-BOX
Tsubasa Kosaka, Shohei Nakamura, Kimiyoshi Usami (S.I.T.) VLD2014-127 CPSY2014-136 RECONF2014-60
The performance advancement by the transistor scaling is blocked by increase of power consumption and process variation.... [more] VLD2014-127 CPSY2014-136 RECONF2014-60
pp.99-104
ICD 2014-01-28
10:00
Kyoto Kyoto Univ. Tokeidai Kinenkan [Invited Talk] Adaptive Performance Compensation with On-Chip Variation Monitoring
Masanori Hashimoto (Osaka Univ.) ICD2013-100
This paper discusses adaptive performance control with two types of on-chip variation sensors. The first sensor
aims to... [more]
ICD2013-100
pp.1-6
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2012-11-27
13:00
Fukuoka Centennial Hall Kyushu University School of Medicine Accurate I/O Buffer Impedance Self-adjustment using Threshold Voltage and Temperature Sensors
Zhi Li, Hiroshi Tsutsui, Hiroyuki Ochi, Takashi Sato (Kyoto Univ.) VLD2012-79 DC2012-45
With the increased operating frequency and the reduction of feature
size, achieving low error-rate data transmission be... [more]
VLD2012-79 DC2012-45
pp.117-122
IT 2011-05-20
16:15
Osaka Osaka City University Study on Vital Data Acquisition Schemes for Sports Players -- Heart Rate Measurements by Electrocardiograph, Phonocardiograph and Blood Flow Variation --
Nao Masuoka, Tetsuo Tsujioka (Osaka City Univ.) IT2011-9
Recently, in order to figure out sports player’s state, his/her supervisor/coach requests to measure sports player’s vit... [more] IT2011-9
pp.47-52
MoNA, IN
(Joint)
2009-11-12
09:15
Fukuoka Fukuoka Institute of Technology Estimation of Human Activity Area in the Indoor Environment using Variation of Receive Signal Strength of Zigbee Nodes
Satoshi Aoki, Hiroaki Morino (Shibaura Inst. of Tech) MoMuC2009-39
Detection of trespassers in the indoor environment for security purposes need passive measurement approach without any a... [more] MoMuC2009-39
pp.1-6
ICD, SDM 2006-08-17
09:55
Hokkaido Hokkaido University A supply voltage adjustment technique for low power consumption and its application to SOCs with multiple threshold voltage CMOS
Hiroshi Okano, Tetsuyoshi Shiota, Yukihito Kawabe (Fujitsu lab.), Wataru Shibamoto (Fujitsu), Tetsutaro Hashimoto, Atsuki Inoue (Fujitsu lab.)
An energy-saving technique for SOCs using multiple threshold voltage CMOS was developed. It uses process sensors and pro... [more] SDM2006-127 ICD2006-81
pp.13-18
NS 2006-04-20
15:15
Kochi   Impact of Node Power Variation against Life Time of Sensor Networks
Hironori Yoshino, Takashi Takeuchi, Masumi Ichien, Takashi Matsuda (Kobe Univ.), Shinji Mikami (Kanazawa Univ.), Hiroshi Kawaguchi, Chikara Ohta, Masahiko Yoshimoto (Kobe Univ.) NS2006-6
We introduced manufacturing variation into a power model for a wireless sensor network node. Network protocols for wirel... [more] NS2006-6
pp.21-24
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