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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2022-03-02 10:20 |
Online | Online | Estimation of Clavicular Posterior Rotation Using Surface Mapping Method Takayuki Aimi (Doshisha Univ./JSPS), Yasuo Nakamura (Doshisha Univ.)  MBE2021-89 |
The clavicular posterior rotation is thought to play an important role in shoulder joint motion, but non-invasive measur... [more] | MBE2021-89 pp.9-12 |
| SAT, SANE (Joint) |
2022-02-24 14:50 |
Online | Online | Utilization of Dynamic Map Data in Cyberspace
-- Automatic generation of road feature vector data from point cloud -- Junichi Takiguchi (MELCO) SANE2021-99 |
Mitsubishi Mobil mapping system (MMS) is utilized widely for road account book update, maintenance of the road infrastru... [more] | SANE2021-99 pp.12-16 |
| EST | 2022-01-28 14:20 |
Online | Online | Behavioral analysis of preschool children to support evaluation of digital contents in AR space Ren Ando, Hiroyasu Usami, Yuri Suzuki, Wasuke Hiiragi (Chubu Univ.) EST2021-90 |
With the remarkable progress in the field of ICT, the introduction of ICT education using technologies such as AI, IoT, ... [more] | EST2021-90 pp.165-168 |
| RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] | 2022-01-25 13:15 |
Online | Online | A Study on Technology mapping method for Scalable Logic Module Izumi Kiuchi, Yuya Nakazato (Kumamoto Univ.), Qian Zhao (KIT), Masahiro Iida (Kumamoto Univ.) VLD2021-68 CPSY2021-37 RECONF2021-76 |
The LUT (Lookup Table) , which is widely used as the logic cell in FPGA (Field Programmable Gate Array）, can implement a... [more] | VLD2021-68 CPSY2021-37 RECONF2021-76 pp.108-113 |
| RCS, SAT (Joint) |
2021-08-26 16:40 |
Online | Online | BLER Performance of Circular 256QAM Schemes Considering Cubic Metric for DFT-Precoded OFDM Yugo Sasaki, Mamoru Sawahashi (Tokyo City Univ.), Yoshihisa Kishiyama (NTT DOCOMO) RCS2021-108 |
This paper presents the average block error rate (BLER) performance of circular 256QAM schemes considering a peak-to-ave... [more] | RCS2021-108 pp.45-50 |
| SANE | 2021-08-27 11:05 |
Online | Online | Satellite Data Fusion for damage assessment and analysis of the significant features Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29 |
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] | SANE2021-29 pp.37-42 |
| SIP | 2021-08-24 10:50 |
Online | Online | [Invited Talk]
Scholarly Data Analysis and Visualization Marie Katsurai (Doshisha Univ.) SIP2021-33 |
The constantly increasing availability of digital data on scholarly contributions, such as academic papers and research ... [more] | SIP2021-33 p.25 |
| WBS, RCC, SAT, MICT (Joint) [detail] |
2021-05-21 10:10 |
Online | Online (Zoom) | PAPR characteristic of OFDM signal using QAM with a many-to-one mapping Takuma Kakiuchi, Tsuyoshi Arai, Hiroshi Inai, Hideaki Wakabayashi (Okayama Pref. Univ.) WBS2021-14 RCC2021-14 SAT2021-12 MICT2021-10 |
OFDM signals have high PAPR due to the nature of adding many subcarrier signals together. In this study, we focused on s... [more] | WBS2021-14 RCC2021-14 SAT2021-12 MICT2021-10 pp.72-76(WBS), pp.72-76(RCC), pp.60-64(SAT), pp.50-54(MICT) |
| ICM, IPSJ-CSEC, IPSJ-IOT | 2021-05-14 14:35 |
Online | Online | Proposal and Evaluation of a Target Extraction and Mapping Method for Automatic System Operation Hidetaka Koya, Makoto Komiyama, Akira Kataoka, Haruo Oishi (NTT) ICM2021-8 |
In recent years, technologies have been proposed to improve and increase the efficiency of business operations by automa... [more] | ICM2021-8 pp.41-46 |
| SIS | 2021-03-04 12:10 |
Online | Online | Data Extraction from Printed Data-Embedding Image Using Projectors Motoki Amami, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2020-44 |
A method that embeds information in images to extract additional information using the camera of a mobile device has bee... [more] | SIS2020-44 pp.49-54 |
| HIP, VRSJ | 2021-02-18 14:55 |
Online | Online | Rendering method to reproduce the quality of projected object in projected AR Xie Jun, Katsunori Okajima (Yokohama National Univ.) HIP2020-78 |
In this paper, we propose a rendering method that improves the texture of an object in a projected image for high-precis... [more] | HIP2020-78 pp.28-33 |
| IMQ | 2020-12-18 09:15 |
Online | Online | Analysis of Scene-Adaptive Tone Mapping Methods Using Deep Learning Hirofumi Sasaki, Keita Hirai (Chiba Univ.) IMQ2020-7 |
Although high dynamic range (HDR) images can reproduce a wide range of colors and brightness, tone mapping is necessary ... [more] | IMQ2020-7 pp.1-4 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | A Method to Arrange Information in Room by Coordinating Smartphones and Projectors Shu Sorimachi, Mitsunori Matsushita (Kansai Univ.) |
In this research, we propose a method for realizing an interior space in which only information exists by eliminating ob... [more] | |
| PRMU, IPSJ-CVIM | 2020-03-16 14:40 |
Kyoto | (Cancelled but technical report was issued) |
Projector Calibration using a Pinhole Mask Plate Masatoki Sugimoto, Daisuke Iwai, Kosuke Sato (Osaka Univ.) PRMU2019-76 |
Although many projector calibration methods exist, most of them have same problem: depend on the size of the target or ... [more] |
PRMU2019-76 pp.59-64 |
| PRMU, IPSJ-CVIM | 2020-03-17 17:05 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100 |
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) tr... [more] | PRMU2019-100 pp.237-242 |
| SS | 2020-03-04 13:50 |
Okinawa | (Cancelled but technical report was issued) |
A Decision Procedure for a Macro Forest Transducer being an Implementation of an XML Schema Mapping Hiroaki Tabata, Masahiko Sakai, Kenji Hashimoto (Nagoya Univ. G. S.) SS2019-43 |
XML Schema Mapping (SM) describes the correspondence between two different XML Schema DTDs using a tree pattern. A dete... [more] |
SS2019-43 pp.13-18 |
| HWS, VLD [detail] | 2020-03-04 11:20 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Study of Arithmetic-Oriented Application Implementations for Via-Switch FPGA Takashi Imagawa (Ritsumeikan Univ.), Yu Jaehoon (Tokyo Tech), Masanori Hashimoto (Osaka Univ.), Hiroyuki Ochi (Ritsumeikan Univ.) VLD2019-98 HWS2019-71 |
Via-Switch FPGAs have different features from conventional SRAM-based FPGAs. It is necessary to build the application ci... [more] | VLD2019-98 HWS2019-71 pp.25-29 |
| CPM | 2020-02-29 11:15 |
Tokyo | Presentation Rm., KCB01, Tokyo Univ. of Technol. (Cancelled but technical report was issued) |
Fabrication of two-dimensional pressure mapping sensors based on organic ferroelectric films Shintaro Matsumoto, Daisuke Tadaki, Shin Yamamiya, Teng Ma (Tohoku Univ.), Yuji Imai (NIT Sendai), Ayumi Hirano-Iwata (Tohoku Univ.), Michio Niwano (Tohoku Fukushi Univ.) CPM2019-107 |
A mapping sensor for measuring pressure at multiple points has been developed for application to tactile sensors such as... [more] | CPM2019-107 pp.61-63 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-28 16:10 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Compact model mapping based on precise sparse point cloud matching HungYa Tsai, Yuya Ieiri, Reiko Hishiyama (Waseda University) ITS2019-56 IE2019-94 |
Augmented Reality (AR) has gained a lot of attention in recent years due to its limitless imagination. Model mapping is... [more] |
ITS2019-56 IE2019-94 pp.333-338 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-23 16:15 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Accelerating 2D LiDAR SLAM Algorithm using FPGA Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) VLD2019-78 CPSY2019-76 RECONF2019-68 |
(To be available after the conference date) [more] | VLD2019-78 CPSY2019-76 RECONF2019-68 pp.151-156 |
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