Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IN, CCS (Joint) |
2022-08-04 10:20 |
Hokkaido |
Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Consideration of the structure of CNN models with high image classification performanc Mizuki Dai, Kenya Jinno (Tokyo City University) CCS2022-27 |
In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep ... [more] |
CCS2022-27 pp.6-9 |
HCS, HIP, HI-SIGCOASTER [detail] |
2022-05-16 09:20 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Cognitive Performance and Workload prediction for older adults using eye information in car driving Minoru Nakayama (Tokyo Tech.), Chayn Sun (RMIT Univ.), Jianhong Xia (Curtin Univ.) HCS2022-23 HIP2022-23 |
Prediction possibility for scores of cogonitive ability and mental
workloads was examined using metrics of oculo-motor... [more] |
HCS2022-23 HIP2022-23 pp.112-117 |
R |
2021-06-12 15:50 |
Online |
Online (Zoom) |
Towards More Accurate Software Bug Prediction: Maximum Likelihood Predictions Daigo Fujimura, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-15 |
In this note, we consider point prediction methods for the number of software bugs decetced in
the future with the bug... [more] |
R2021-15 pp.25-30 |
R |
2020-12-11 14:50 |
Online |
Online |
Long-term Software Fault Prediction with Wavelet Shrinkage Estimation Jingchi Wu Hu, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2020-32 |
Recently, wavelet shrinkage estimation received considerable attentions to estimate stochastic processes such as a non-h... [more] |
R2020-32 pp.12-17 |
AI |
2018-07-02 10:50 |
Hokkaido |
|
Effect of Flactuation of Training Data on Prediction Performance Sachio Hirokawa, Koji Okamura (Kyushu Univ.) AI2018-3 |
By applying machine learning to the case of spam, a spam identification model can be created. On the other hand, the att... [more] |
AI2018-3 pp.11-14 |
SANE |
2016-08-26 14:20 |
Miyagi |
Electronic Navigation Research Institute Iwanuma Branch (Miyagi) |
On Surface Movement Time of Departure Flights from Runway D and Arrival Flight Time to Runway 34L at Haneda Airport Tetsuo Mizoguchi SANE2016-37 |
The snapshots of surface movement of departure flights from D runway (departing only) and arrival flight time within the... [more] |
SANE2016-37 pp.33-38 |
NS, IN (Joint) |
2016-03-04 14:45 |
Miyazaki |
Phoenix Seagaia Resort |
Concurrent Evaluation for Data Integrity and Performance of Google App Engine Using A Unified Colored Petri Net Model Sachi Nishida, Yoshiyuki Shinkawa (Ryukoku Univ.) IN2015-151 |
PaaS type cloud services like Google App Engine (GAE) have advantages in providing us with the capability of flexible ap... [more] |
IN2015-151 pp.253-258 |
SWIM |
2015-12-05 14:50 |
Tokyo |
Tokyo polytechnic Univ. |
Performance Prediction for GAE Using the UPPAAL Sachi Nishida, Yoshiyuki Shinkawa (Ryukoku Univ.) SWIM2015-15 |
Recently, PaaS type cloud services like Google App Engine (GAE) are becoming a candidate for the system
processing plat... [more] |
SWIM2015-15 pp.19-24 |
SC |
2015-10-02 13:05 |
Tokyo |
NII |
[Invited Talk]
Policy-Aware Service Composition Mai Xuan Trang, Yohei Murakami, Toru Ishida (Kyoto Univ.) |
Parallel execution and cloud technologies are the keys to speed-up service invocation when processing large-scale data. ... [more] |
|
DE, IPSJ-DBS, IPSJ-IFAT |
2015-08-05 13:00 |
Nara |
Todaiji Culture Center |
Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets Do Van Nguyen (KDDI R&D Labs), Keisuke Ogawa (KDDI), Kazunori Matsumoto, Masayuki Hashimoto (KDDI R&D Labs) DE2015-14 |
This research shows a study on issues that cause low performance in disease prediction such as overlap and imbalance and... [more] |
DE2015-14 pp.19-24 |
NS, IN (Joint) |
2014-03-07 11:20 |
Miyazaki |
Miyazaki Seagia |
Estimation of Betweenness Centrality in terms of Links for Inferring Network Performance Takeshi Kondo, Kenji Kawahara (Kyushu Inst. of Tech.) IN2013-166 |
The cost for measurement and prediction of the network performance such as packet loss and utilization on some links bec... [more] |
IN2013-166 pp.133-138 |
EA, US (Joint) |
2014-01-28 15:45 |
Osaka |
Kansai University, Centenary Memorial Hall |
Study on speech recognition performance prediction using unsupervised measurement for speech quality evaluation based on higher-order statistics Yuka Hirano, Ryoichi Miyazaki, Hiroshi Saruwatari, Satoshi Nakamura (NAIST), Tomoya Takatani (TOYOTA) EA2013-119 |
In this paper, a speech kurtosis ratio is introduced as a new unsupervised measurement of speech distortion in speech re... [more] |
EA2013-119 pp.93-98 |
CQ |
2014-01-24 09:00 |
Tokyo |
Tokyo City University |
QoE Assessment of Dynamic Local Lag Control with Prediction in Joint Haptic Drum Performance Mya Sithu, Yutaka Ishibashi, Norishige Fukushima (Nagoya Inst. of Tech.) CQ2013-67 |
In this report, we carry out QoE (Quality of Experience) assessment of dynamic local lag control with prediction in join... [more] |
CQ2013-67 pp.1-6 |
SIP, RCS |
2013-02-01 10:15 |
Hiroshima |
Viewport-Kure-Hotel (Kure) |
A Study on Clipping Noise Suppression of Speech Based on Weighted Spectral Envelope on Divided Frequency Bands Makoto Hayakawa, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) SIP2012-101 RCS2012-258 |
In the speech recording, a speech quality is degraded with clipping noise when the amplitude of input signal exceeds the... [more] |
SIP2012-101 RCS2012-258 pp.121-126 |
EE, CPM |
2013-01-25 11:15 |
Kumamoto |
|
Computer power monitoring procedure using performance counters Shinichi Kawaguchi, Toshiaki Yachi (TUS) EE2012-48 CPM2012-170 |
Reducing power consumption of datacenter becomes social challenges since the number of datacenters is rapidly increasing... [more] |
EE2012-48 CPM2012-170 pp.117-122 |
SANE |
2012-01-27 11:05 |
Nagasaki |
Nagasaki Prefectural Art Museum |
Evaluation of The Adaptive Gain Non-process-noise Tracking Method's Tracking Performance Takurin Sou, Yoshio Kosuge, Isamu Matsunami (Nagasaki Univ.) SANE2011-152 |
The discussion of radar tracking using an NP (Non-process noise) in which prediction (state estimate extrapolation) is c... [more] |
SANE2011-152 pp.61-66 |
VLD, CPSY, RECONF, IPSJ-SLDM [detail] |
2012-01-26 12:40 |
Kanagawa |
Hiyoshi Campus, Keio University |
Discussion of Performance Prediction Model for Symmetric Block Ciphers on CUDA Naoki Nishikawa, Keisuke Iwai, Takakazu Kurokawa (NDA) VLD2011-112 CPSY2011-75 RECONF2011-71 |
As the data protection with encryption becomes important day by day, the encryption processing using GPGPU has been noti... [more] |
VLD2011-112 CPSY2011-75 RECONF2011-71 pp.123-128 |
RCS, NS (Joint) |
2010-07-15 16:10 |
Hokkaido |
Abashiri Public Auditorium |
Research of Performance Predictin Technology for Power Saving Routers Masaki Yamada, Minoru Hidaka, Takeki Yazaki, Yuichi Ishikawa (Hitachi) NS2010-41 |
According to the increasing power consumption of network equipment, a demand for reducing the power consumption of netwo... [more] |
NS2010-41 pp.17-22 |
IN |
2010-06-04 11:15 |
Akita |
Akita ATORION |
Research of Forwarding Performance Predicting Technology for Power Saving of Routers Minoru Hidaka, Takeki Yazaki, Masaki Yamada (Hitachi), Takehisa Hayashi (ALAXALA) IN2010-20 |
According to the increasing power consumption of network equipment, a demand for reducing the power consumption of netwo... [more] |
IN2010-20 pp.51-56 |
SAT, SANE (Joint) |
2010-02-26 13:50 |
Tokyo |
NICT-Honbu |
Aircraft Trajectory Prediction Error Analysis Masayuki Shirakawa, Yutaka Fukuda, Atsushi Senoguchi (ENRI) SANE2009-167 |
On September of 2003, 11-th Air Navigation Conference of ICAO was held in Montreal in Canada. In this conference states... [more] |
SANE2009-167 pp.47-52 |