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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SANE | 2023-12-08 13:50 |
Overseas | Surakarta, Indonesia (Primary: On-site, Secondary: Online) |
Finger Position Detection Using Multitask Gaussian Process Regression on Noncontact Control Panels Takayuki Kitamura, Shingo Yamaura, Kengo Nishimoto, Tadashi Oshima (MELCO)  SANE2023-81 |
In recent years, the development of transparent antennas for fifth-generation mobile communication systems has progresse... [more] | SANE2023-81 pp.116-121 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-21 15:00 |
Fukuoka | Kitakyushu International Conference Center | Analysis of subtasks for improving the detection accuracy of offensive tweets in multitask learning Ryoichi Sawada, Yu Suzuki (Gifu) DE2023-14 |
There are studies on detecting offensive tweets, but there is a need to further improve the accuracy.One method to impro... [more] | DE2023-14 pp.19-24 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 14:20 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT) NC2023-3 IBISML2023-3 |
X-ray absorption spectra are known as a useful experimental measurement technique for crystal structure analysis. Spectr... [more] | NC2023-3 IBISML2023-3 pp.17-24 |
| SS, MSS | 2022-01-12 10:05 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Multitask Scheduling for Reducing Total Memory Consumption while Satisfying Deadlines using Adaptive Control according to Dynamic Change of Task Memory Consumption Ryosuke Arai, Akio Nakata (Hiroshima City Univ) MSS2021-48 SS2021-35 |
The authors have previously proposed a multi-task scheduling method LMCLF, which can reduce the total memory usage of th... [more] | MSS2021-48 SS2021-35 pp.95-99 |
| MVE | 2019-08-29 10:30 |
Aichi | Examination of the Effect of Cognitive-Physical Multitask Exercise Using a Walking Support Robot on Mental Health in the Elderly Naoto Okada (Nagoya Univ.), Mayu Yokoya, Kazunori Yamada (Panasonic), Junya Morita (Shizuoka Univ.), Hiroko Kamide, Naoto Yoshida, Yu Enokibori, Kenji Mase (Nagoya Univ.) MVE2019-3 |
The aim of this study is to identify the psychological effects of cognitive--physical multitask exercise. Elderly subjec... [more] | MVE2019-3 pp.1-6 |
|
| HCS | 2019-08-23 16:15 |
Osaka | Jikei Institute | Estimating Exchange-level Annotations with Multitask Learning for Multimodal Dialogue Systems Yuki Hirano, Shogo Okada (JAIST), Haruto Nishimoto, Kazunori Komatani (Osaka Univ.) HCS2019-32 |
This study presents multimodal computational modeling for estimating three labels: user's interest label, user's sentim... [more] |
HCS2019-32 pp.15-20 |
| PRMU, IPSJ-CVIM | 2019-05-30 10:50 |
Tokyo | Estimating areas in images for grasping an object by a three-fingered robot hand Atsuki Tsukamoto, Ryosuke Kubota, Kiyoshi Kogure (KIT) PRMU2019-4 |
This paper proposes a method for estimation areas for grasping an object by a three-fingered robot hand. The method take... [more] | PRMU2019-4 pp.19-24 |
|
| CS, CQ (Joint) |
2019-04-18 11:10 |
Osaka | Osaka Univ. Library | FPGA prototype of autonomous Time Aware Shaper for low-latency layer 2 switch Kazuto Nishimura, Masaki Hirota, Takafumi Terahara, Hideki Matsui (Fujitsu) CS2019-5 |
In 5th Generation mobile communication, it is considered that Mobile Front Haul (MFH) network is integrated to Layer 2 n... [more] | CS2019-5 pp.25-30 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:50 |
Kagoshima | Kagoshima University | Cognitive and Physical Multitasking Exercise of Elderly with Assist Robot Naoto Okada, Yuki Atsumi (Nagoya Univ.), Mayu Yokoya, Kazunori Yamada (Panasonic), Junya Morita (Shizuoka Univ.), Hiroko Kamide, Tomohiro Yoshikawa, Takeshi Furuhashi, Yu Enokibori, Kenji Mase (Nagoya Univ.) IMQ2018-54 IE2018-138 MVE2018-85 |
The aim of this study is to identify the effect of cognitive and physical multitask exercise. Elderly subjects were instr... [more] | IMQ2018-54 IE2018-138 MVE2018-85 pp.183-188 |
| SS | 2019-03-04 10:40 |
Okinawa | An improved LLF scheduling for reducing heap memory consumption in multiprocessor real-time system by considering laxity time Yuki Machigashira, Akio Nakata (Hirosima City Univ.) SS2018-55 |
Real-time embedded systems are often designed as multitasking systems in order to improve responsiveness to multiple ext... [more] | SS2018-55 pp.19-24 |
|
| AI | 2018-12-07 15:30 |
Fukuoka | Evolutionary Multitask Deep Reinforcement Learning in 2D Maze Task Shota Imai, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-29 |
In Deep reinforcement learning, it is difficult to converge when the exploration is insufficient or a reward is sparｓe. ... [more] | AI2018-29 pp.19-24 |
|
| MVE, ITE-HI | 2018-06-14 15:20 |
Tokyo | Consideration of Physical Ability Improvement by Physical and Cognitive Multitask Training Naoto Okada, Yuki Atsumi (Nagoya Univ.), Mayu Yokoya, Kazunori Yamada (Panasonic), Xueting Wang, Hiroko Kamide, Junya Morita, Yu Enokibori, Kenji Mase (Nagoya Univ.) MVE2018-5 |
The principal aim of this study is to determine the effect of physical ability improvement on physical and cognitive mult... [more] | MVE2018-5 pp.61-66 |
|
| PRMU, MI, IE, SIP | 2018-05-18 11:00 |
Gifu | Contour Extraction of Transparent Objects Using Fully Convolutional Networks Ryosuke Kubota, Kiyoshi Kogure (KIT) SIP2018-10 IE2018-10 PRMU2018-10 MI2018-10 |
In this paper, we propose two methods to extract contours of transparent objects from a grayscale image using fully conv... [more] | SIP2018-10 IE2018-10 PRMU2018-10 MI2018-10 pp.41-46 |
|
| ET | 2017-12-02 15:20 |
Ishikawa | Kanazawa Institute of Technology | Construction of C language Web programming environment by bytecode interpreter Yasuhiro Nasu (Jikei Col.) ET2017-76 |
Currently, many programming environments on the Web have been constructed, but it is difficult to implement graphics tas... [more] | ET2017-76 pp.45-50 |
| SS | 2017-03-10 10:05 |
Okinawa | Multitask Scheduling Method for Reducing Total Heap Memory Usage under Deadline Constraints Yuto Suzuki, Akio Nakata (Hiroshima City Univ.) SS2016-76 |
Multitasking systems, often used in embedded software, require in general larger memory footprint than single tasking sy... [more] | SS2016-76 pp.97-102 |
|
| SS | 2017-03-10 11:35 |
Okinawa | Approximation of Multitask System Specification by Task Merging for Efficiency Improvement of Performance Verification Kazuma Hashimoto, Akio Nakata (Hiroshima City Univ.) SS2016-79 |
In the development of embedded software which requires high reliability satisfaction and performance of hard requirement... [more] | SS2016-79 pp.115-120 |
|
| NLC, IPSJ-IFAT | 2017-02-10 14:45 |
Osaka | NLC2016-50 |
These days, many people use several kinds of services and apps that are linked to social networking service (SNS). In th... [more] | NLC2016-50 pp.75-80 |
|
| MSS, SS | 2017-01-26 11:30 |
Kyoto | Kyoto Institute of Technology | Multitask Scheduling Method for Reducing Total Memory Usage by Predicting Behavior of Heap Memory Allocations Hiroki Nakayama, Akio Nakata (Hiroshima City Univ) MSS2016-60 SS2016-39 |
The multitask scheduling method for reducing total memory usage that compares the next step increments of the memory usa... [more] | MSS2016-60 SS2016-39 pp.19-24 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Multitask learning meets tensor factorization: task imputation via convex optimization Kishan Wimalawarne (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo), Ryota Tomioka (TTIC) IBISML2014-49 |
We study a multitask learning problem in which each task is parametrized by a weight vector and indexed by a pair of ind... [more] | IBISML2014-49 pp.111-118 |
| SS, MSS | 2014-01-30 14:50 |
Aichi | A Method for Extracting Necessary Information for Performance Verification from Extended SysML Diagrams Yusuke Motoie, Akio Nakata (Hiroshima City Univ.) MSS2013-55 SS2013-52 |
Achieving performance requirements under severe resource constraints is one of the most important design issues in embed... [more] | MSS2013-55 SS2013-52 pp.23-28 |
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