| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MIKA (3rd) |
2021-10-28 15:05 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Control of fruit harvest time and improvement of quality by mango production system utilizing IoT Yasushi Shiroma, Hitoshi Afuso, Ryuichi Suwa (Univ. of the Ryukyus), Atsushi Kinjo (National institute of Technology, Okinawa College), Yuki Tonooka (Univ. of the Ryukyus), Takeshi Kaga (Okinawa Cellular Agri &Marche), Itaru Nagayama, Shiro Tamaki (Univ. of the Ryukyus), Gauri Maharjan (Philips) |
[more] | |
| RECONF | 2021-09-10 15:45 |
Online | Online |  RECONF2021-23 |
(To be available after the conference date) [more] | RECONF2021-23 pp.36-41 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 13:45 |
Online | Online | Performance Evaluation of Serial-Parallel Montgomery Multipliers for RNS Hiroyuki Tsubouchi, Mitsunaga Kinjo, Katsuhiko Shimabukuro (Univ. of the Ryukyus) SDM2021-40 ICD2021-11 |
Modulo operations are required in RNS (Residue Number System) which enables to perform highly parallel computation. Also... [more] | SDM2021-40 ICD2021-11 pp.54-57 |
| AP, SANE, SAT (Joint) |
2021-07-28 11:15 |
Online | Online | Study on Moving Target Detection for Polarimetric Ocean Radar Tatsuhiro Koizumi, Hiroyoshi Yamada (Niigata Univ.), Satoshi Fujii, Yasunori Osana (Univ. of the Ryukyus), Toru Uno (Tokyo Univ. of A&T) SANE2021-16 |
As the use of coastal areas expands, the demand for ocean radar is increasing. Potential of the radar is not limited to ... [more] | SANE2021-16 pp.7-11 |
| ITS | 2021-07-02 13:05 |
Online | Online | Error Reduction Method employing Dither Method with Interfering Signals for Distance Estimation Technique Seiya Horiuchi, Hiroyuki Hatano, Kosuke Sanada, Kazuo Mori (Mie Univ.), Takaya Yamazato (Nagoya Univ.), Shintaro Arai (Okayama Univ. of Science), Masato Saito (Univ. of the Ryukyus), Yukihiro Tadokoro, Hiroya Tanaka (Toyota CRDL) ITS2021-1 |
In positioning systems, the Received Signal Strength Indicator (RSSI) is actively used to measure between user’s device ... [more] | ITS2021-1 pp.1-6 |
| SIS, IPSJ-AVM | 2021-06-24 13:45 |
Online | Online | Privacy-Preserving Secure Computation of Gaussian Process Regression
-- Find patterns and rules from encrypted data -- Takayuki Nakachi (Univ. of the Ryukyus), Yitu Wang (NTT) SIS2021-8 |
In this paper, we propose Gaussian Process Regression (GPR) for encrypted data generated based on random unitary transfo... [more] | SIS2021-8 pp.43-48 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 13:00 |
Online | Online | F0 estimation of speech based on l2-norm regularized TV-CAR analysis Keiichi Funaki (Univ. of the Ryukyus) SP2021-2 |
Linear Prediction (LP) is the most successful speech analysis in speech processing, including speech coding implemented ... [more] |
SP2021-2 pp.7-12 |
| EMM, IT | 2021-05-20 16:10 |
Online | Online | [Invited Talk]
Secure Computation of Sparse Modeling
-- Edge AI with Lightweight and Small Amounts of Data -- Takayuki Nakachi (Univ. of the Ryukyus) IT2021-6 EMM2021-6 |
With the advent of the big data, IoT, AI era, all digital contents continue to increase. Sparse modeling is drawing atte... [more] | IT2021-6 EMM2021-6 pp.31-36 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2020-06-29 15:25 |
Online | Online | A Study on Model-based Deep Reinforcement Learning Using Autonomous Search for Subgoal Motoki Maruyama, Satoshi Endo, Koji Yamada (Univ. of the Ryukyus) NC2020-6 IBISML2020-6 |
Model-based deep reinforcement learning (DRL) is more sample-efficient than model-free DRL. But it requires a deep gener... [more] | NC2020-6 IBISML2020-6 pp.33-38 |
| MSS, NLP (Joint) |
2020-03-10 09:25 |
Aichi | (Cancelled but technical report was issued) |
Optimal Resource Allocation for Distributed Computing Environments based on Integer Programming Generation Shoya Kyan, Tomoya Uchihara, Morikazu Nakamura (Univ. of the Ryukyus) MSS2019-64 |
This paper considers resource assignment problems in distributed computing environments based on the automatic generatio... [more] | MSS2019-64 pp.37-42 |
| SS, MSS | 2020-01-15 11:20 |
Hiroshima | Modeling of Prediction Processes based on Learning Colored Petri Nets Ibuki Kawamitsu, Morikazu Nakamura (Univ. of the Ryukyus) MSS2019-53 SS2019-37 |
This paper presents a modeling approach to visualize the prediction process of machine learning based on learning colore... [more] | MSS2019-53 SS2019-37 pp.73-78 |
|
| SIS | 2019-12-13 10:40 |
Okayama | Okayama University of Science | Development of Route Traveling System in Autonomous Flight Control of UAV Yoshiki Shimabukuro, Tomoki Miyazato (Univ. of the Ryukyus) SIS2019-33 |
Currently, UAV is attracting attention as one of the IoT technologies. Various studies are being conducted on UAV, and i... [more] | SIS2019-33 pp.51-56 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 15:05 |
Tokyo | NHK Science & Technology Research Labs. | Interpretability of laws related to clinical research with text mining Ayako Ohshiro, Shinichiro Ueda (Univ. of the Ryukyus) NLC2019-33 |
Medical staffs have been required comprehension of laws for clinical research, in addition to ordinary medical care and ... [more] | NLC2019-33 pp.35-40 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Time-Varying Complex AR speech analysis based on l2-norm regularization Keiichi Funaki (Univ. of the Ryukyus) SP2019-41 |
Linear prediction (LP) is a mathematical operation estimating an all-pole spectrum from the speech signal. It is an ess... [more] |
SP2019-41 pp.73-77 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
F0 estimation using TV-CAR speech analysis based on Regularized LP Keiichi Funaki (Univ. of the Ryukyus) EA2018-152 SIP2018-158 SP2018-114 |
Linear Prediction (LP) analysis is speech analysis to estimate AR(Auto-Regressive) coefficients to represent the all-pol... [more] | EA2018-152 SIP2018-158 SP2018-114 pp.311-316 |
| MoNA | 2019-01-16 09:40 |
Kyoto | T. B. D. | Position Prediction of Mobile Targets using BLE Signals and Machine Learning for Electronic Monitoring Arata Sashida, Nan Touma, Morikazu Nakamura (Univ. of the Ryukyus), Akira Sakima (Kuniken Systems) MoNA2018-57 |
This paper proposes a method for position prediction of mobile targets based on BLE signals and machine learning for ele... [more] | MoNA2018-57 pp.1-6 |
| MSS, SS | 2019-01-16 14:30 |
Okinawa | Prediction of Position for Mobile Objects based on BLE Signals and Machine Learning Nan Toma, Arata Sashida (Univ. of the Ryukyus), Hideki Kinjo (Okinawa Univ.), Morikazu Nakamura (Univ. of the Ryukyus), Akira Sakima (Kuniken Systems) MSS2018-76 SS2018-47 |
This paper presents indoor positioning systems based on BLE signals and machine learning approaches. We consider two sy... [more] |
MSS2018-76 SS2018-47 pp.121-125 |
|
| MRIS, ITE-MMS | 2018-12-07 11:30 |
Ehime | Ehime University | Correlation analysis between structure and magnetostriction in epitaxial thin films of 3d ferromagnetic transition metal based alloys Kana Serizawa (Yokohama National Univ./Chuo Univ.), Mitsuru Ohtake, Tetsuroh Kawai (Yokohama National Univ.), Masaaki Futamoto (Chuo Univ.), Fumiyoshi Kirino (Tokyo Univ. of the Arts.), Nobuyuki Inaba (Yamagata Univ.) |
[more] | |
| MSS, CAS, IPSJ-AL [detail] | 2018-11-12 16:40 |
Shizuoka | A Petri net model for heart rate variability biofeedback Sachie Shinzato, Morikazu Nakamura (Univ. of the Ryujyus), Hideki Kinjo (Okinawa Univ.), Itsuki Kunita (Univ. of the Ryujyus) CAS2018-66 MSS2018-42 |
We propose a Petri net model for the heart rate variability biofeedback. The model focusses on the Respiratory Sinus A... [more] |
CAS2018-66 MSS2018-42 pp.49-54 |
|
| RECONF | 2018-09-18 10:00 |
Fukuoka | LINE Fukuoka Cafe Space | RECONF2018-27 |
(To be available after the conference date) [more] | RECONF2018-27 pp.43-47 |
[Return to Top Page]