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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SR, SRW (Joint) |
2022-03-04 10:20 |
Online | Online | [Encouragement Talk]
A Study on the Possibility of Estimating Multiple Communication Environment Information by Deep Learning Shun Kojima (Utsunomiya Univ.), Kazuki Maruta (Tokyo Tech.), Yi Feng (Aptiv), Takashi Yokota, Kanemitsu Ootsu (Utsunomiya Univ.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.)  RCS2021-285 |
In the next generation mobile radio communication systems, it is essential to obtain the communication environment infor... [more] | RCS2021-285 pp.164-169 |
| RCS | 2021-04-23 09:45 |
Online | Online | Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-10 |
Recently, due to the increasing demand for wireless data traffic, highly efficient multiple access methods such as OFDMA... [more] | RCS2021-10 pp.42-47 |
| SIP, IT, RCS | 2021-01-22 15:15 |
Online | Online | A Study on the Possibility of Estimating Multiple Communication Environment Information by Deep Learning Method Using Received Signal Spectrogram Shun Kojima (Chiba Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.) IT2020-97 SIP2020-75 RCS2020-188 |
In the next generation mobile radio communication systems, it is essential to obtain the communication environment infor... [more] | IT2020-97 SIP2020-75 RCS2020-188 pp.188-193 |
| NS, RCS (Joint) |
2020-12-18 15:50 |
Online | Online | K-Factor Estimation based on Spectrogram Images by Convolutional Neural Network Shun Kojima, Kosuke Shima (Chiba Univ.), Kazuki Maruta (Tokyo Tech), Chang-Jun Ahn (Chiba Univ.) RCS2020-153 |
In the next generation mobile communications systems, accurate and fast acquisition of the communication environment is ... [more] | RCS2020-153 pp.103-108 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 10:00 |
Online | Online | Evaluation of Processing Speed and Throughput in CNN-based Communication Environment Estimation Method using Spectrograms Shun Kojima (Chiba Univ.), Kazuki Maruta (Tokyo Tech), Chang-Jun Ahn (Chiba Univ.) RCS2020-58 |
[more] | RCS2020-58 pp.1-6 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-09 15:00 |
Online | Online | [Invited Lecture]
Blind Adaptive Array Interference Suppression Performance with Deep Learning based SIR Estimation Kazuki Maruta (Tokyo Tech), Shun Kojima (Chiba Univ.), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT) RCC2020-8 NS2020-37 RCS2020-71 SR2020-16 SeMI2020-8 |
This paper proposes a blind interference estimation via deep learning approach exploiting the visualized wireless signal... [more] | RCC2020-8 NS2020-37 RCS2020-71 SR2020-16 SeMI2020-8 pp.37-41(RCC), pp.37-41(NS), pp.79-83(RCS), pp.43-47(SR), pp.31-35(SeMI) |
| RCS | 2020-04-23 11:45 |
Online | Online | Deep Learning based Joint SNR and Doppler Shift Detection using Multiuser Spectrogram Shun Kojima (Chiba Univ.), Yi Feng (Duke Univ.), Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2020-4 |
[more] | RCS2020-4 pp.19-24 |
| RCS | 2019-10-24 09:30 |
Kanagawa | Yokosuka Research Park | SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-178 |
[more] | RCS2019-178 pp.1-6 |
| MIKA (2nd) |
2019-10-03 13:05 |
Hokkaido | Hokkaido Univ. | [Invited Lecture]
Deep Learning Based Communication Environment Estimation Using Received Signals Kazuki Maruta, Shun Kojima, Chang-Jun Ahn (Chiba Univ.) |
The performance of wireless communication greatly depends on the propagation environment. Adaptive modulation and codi... [more] |
|
| CQ (2nd) |
2019-09-05 10:40 |
Tokyo | Inter-University Seminar House | [Poster Presentation]
The estimation method of SNR and Doppler frequency by convolutional neural network using spectrogram Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) |
[more] | |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 10:40 |
Osaka | I-Site Nanba（Osaka） | [Poster Presentation]
Blind SIR Estimation by Deep Learning Using Visualized Wireless Signal Information Kazuki Maruta, Shun Kojima (Chiba Univ.), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ.), Chang-Jun Ahn (Chiba Univ.) RCC2019-27 NS2019-63 RCS2019-120 SR2019-39 SeMI2019-36 |
This article proposes the blind interference estimation via deep learning approach exploiting the visualized wireless si... [more] | RCC2019-27 NS2019-63 RCS2019-120 SR2019-39 SeMI2019-36 pp.85-86(RCC), pp.111-112(NS), pp.107-108(RCS), pp.117-118(SR), pp.99-100(SeMI) |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 13:30 |
Osaka | I-Site Nanba（Osaka） | SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Convolutional Neural Network (CNN) ai... [more] | RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 pp.127-132(RCC), pp.153-158(NS), pp.149-154(RCS), pp.159-164(SR), pp.141-146(SeMI) |
| RCS | 2019-06-21 11:40 |
Okinawa | Miyakojima Hirara Port Terminal Building | SNR Estimation by using Neural Network in Adaptive Modulation and Coding Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-94 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Artificial Neural Network (ANN) aide... [more] |
RCS2019-94 pp.333-338 |
| RCS | 2018-10-19 09:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Adaptive Switching Method with AMC and FSS Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2018-164 |
In recent years, it is required to realize higher speed and higher quality mobile communication due to the increase in I... [more] | RCS2018-164 pp.71-76 |
| SP, IPSJ-MUS | 2014-05-25 11:30 |
Tokyo | Evaluation of singing voice similarity based on "acoustic singing-structure" Shun Kojima, Takeshi Saitou, Masato Miyoshi (Kanazawa Univ.) SP2014-29 |
In this paper, we investigate the acoustic characteristics affecting auditory impressions, a "vocal timbre" and a "way o... [more] | SP2014-29 pp.315-319 |
|
| EA | 2012-10-27 14:15 |
Toyama | USHIDAKE resort (Toyama) | [Poster Presentation]
Acoustic features for discriminating falsetto from modal registers in singing voices Shun Kojima, Takeshi Saitou (Kanazawa Univ.), Tomoyasu Nakano, Masataka Goto (AIST), Masato Miyoshi (Kanazawa Univ.) EA2012-76 |
This paper reports an investigation of effective acoustic features for discriminating falsetto register and modal regist... [more] | EA2012-76 pp.67-72 |
| SP | 2012-03-09 10:30 |
Saitama | Riken Brain Science Institute | Relation between acoustic features and impression evaluation in singing voices. Shun Kojima, Takeshi Saitou, Masato Miyoshi (Kanazawa Univ.) SP2011-164 |
As expression denoting several characteristics of singing voices, there are impression words like vocal timbre and singi... [more] | SP2011-164 pp.49-53 |
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