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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
US 2023-10-18
15:05
Miyagi Tohoku Univ. and Online
(Primary: On-site, Secondary: Online)
Y-shaped Micro-Flow Phantom for Superficial Micro-vessels Imaging: Novel Fabrication Protocol.
Anam Bhatti, Takuro Ishii, Yoshifumi Saijo (Tohoku Univ.) US2023-40
Flow phantoms are considered as simulation test beds in optimization of ultrasound imaging sequences. Straight channel m... [more] US2023-40
pp.15-18
RCC, ITS, WBS 2022-12-14
11:30
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
A fundamental study of a drone classification method applying CNN to range and Doppler images obtained by a millimeter-wave fast chirp MIMO radar
Masashi Kurosaki, Kenshi Ogawa, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2022-46 ITS2022-22 RCC2022-46
In this paper, we propose a method to classifying various drones from range profile and micro Doppler images of a drone ... [more] WBS2022-46 ITS2022-22 RCC2022-46
pp.65-70
US 2022-09-20
13:25
Online Online Visualization of skin micro-vasculatures using SVD-based filtering of ultrafast high-frequency ultrasound
Anam Bhatti, Takuro Ishii, Naoya Kanno, Yoshifumi Saijo (Tohoku Univ.) US2022-38
For earlier diagnosis of skin diseases, visualization of cutaneous vasculatures plays a pivotal role. Skin vasculatures ... [more] US2022-38
pp.4-9
EA, US
(Joint)
2021-12-22
13:30
Kumamoto Sojo University [Poster Presentation] Relationship between the vibration of a bubble and the amount of adsorbed molecules desorbed by ultrasonic irradiation
Reina Kobayashi, Natsumi Nakaoka, Hiraku Tabata, Daisuke Koyama (Doshisha Univ.), Marie Pierre Krafft (Strasbourg Univ.) US2021-51
Microbubbles have potential for applications as drug and gene carriers, and the drug release can be triggered by ultraso... [more] US2021-51
pp.22-25
WBS, RCC, ITS 2021-12-13
09:00
Online Online [Poster Presentation] Experimental study on Micro-Doppler Characteristics of Drones using a Millimeter-wave Fast Chirp Modulation Radar
Masashi Kurosaki, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2021-41 ITS2021-15 RCC2021-48
In recent years, the rapid development and spread of drones has attracted attention in a variety of fields, military, ag... [more] WBS2021-41 ITS2021-15 RCC2021-48
pp.40-44
EMT, IEE-EMT 2021-11-04
14:15
Online Online A Radar Cross Section Analysis to Generate Micro-Doppler Signatures Simulation Data for Machine Learning
Ryotaro Ohashi, Hiroshi Suenobu, Dai Sasakawa, Michio Takikawa, Yoshio Inasawa (Mitsubishi Electric Corp.) EMT2021-32
We investigate the expansion of training data by simulated data for a machine learning model that identifies drones from... [more] EMT2021-32
pp.19-24
AP, SANE, SAT
(Joint)
2021-07-28
13:05
Online Online Doppler and k-space Decomposed Super-Resolution Micro-Doppler Velocity Analysis with Weighted Kernel Density Estimator for Millimeter Wave Radar
Takeru Ando, Shouhei Kidera (UEC) AP2021-28 SANE2021-18
Super-resolution micro-Doppler-velocity analysis based on the weighted kernel density (WKD) method is presented for shor... [more] AP2021-28 SANE2021-18
pp.25-30(AP), pp.18-23(SANE)
SAT, SANE
(Joint)
2020-02-19
10:50
Okinawa   Signal Subspace Classification Framework for Small UAV Surveillance
Ryoma Yataka, Kazuki Hirashima, Takafumi Matsuda, Tai Tanaka, Masato Gocho, Masashi Shiraishi (MELCO) SANE2019-99
In this study, we focus on the classification problem of small radar targets. Persistent monitoring of a radar target re... [more] SANE2019-99
pp.13-18
SANE 2019-10-31
11:00
Overseas KOREA (Jeju) Measurement of Angular Velocity Vector of Rotating Sports Ball using Doppler Radar
Isao Matsushima, Satoshi Kouya, Mitsuya Motohashi (Denki Univ.) SANE2019-50
In this study, we propose a method to measure the angular velocity vector of a rotating ball using multiple Doppler rada... [more] SANE2019-50
pp.19-24
EMCJ, MICT
(Joint)
2018-03-16
14:50
Tokyo Kikai-Shinko-Kaikan Bldg. Non-Contact Biometric authentication using Microwave Doppler Sensor
Takaaki Okano, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yoshimoto (Kobe Univ.) MICT2017-54
In this paper, we propose a non-contact biometric authentication method using a microwave Doppler sensor. In the propose... [more] MICT2017-54
pp.17-20
EMM 2018-01-30
10:25
Miyagi Tohoku Univ. (Aobayama Campus) An application of gesture detection system using acoustic waves on commodity PC
Atsuhito Udo, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EMM2017-73
The booming of consumer electronic devices led to hand gestures being focused on as a natural means of man-machine commu... [more] EMM2017-73
pp.37-42
EA, ASJ-H 2017-07-21
13:40
Hokkaido Hokkaido Univ. [Poster Presentation] A study on gesture detection system using ultrasonic waves on commodity PC
Atsuhito Udo, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EA2017-18
The booming of consumer electronic devices led to hand gestures being focused on as a natural means of man-machine commu... [more] EA2017-18
pp.103-106
ITS, IEE-ITS 2017-03-07
13:00
Kyoto Kyoto Univ. Deep Learning Approach for Moving Object Tracking using Microwave Doppler Signals
Motoko Tachibana, Michiyo Hiramoto, Kurato Maeno (OKI) ITS2016-82
In this report, we present a study on tracking using Microwave Doppler Sensor adopting deep learning approach.
Measurem... [more]
ITS2016-82
pp.31-35
SP, SIP, EA 2017-03-01
10:25
Okinawa Okinawa Industry Support Center Noisy speech reconstruction based on deep neural network with optical microphone
Tomoyuki Mizuno, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-84 SIP2016-139 SP2016-79
Measuring distant-talking speech with high accuracy is important for detecting criminal activity. Various microphones su... [more] EA2016-84 SIP2016-139 SP2016-79
pp.13-18
MBE, NC
(Joint)
2016-03-23
10:50
Tokyo Tamagawa University Development and evaluation of a frequency-selective acoustic sensor for stimulating auditory central nervous systems in experimental rodent models
Ryo Iwaki (Hokkaido Univ.), Shuichi Murakami, Kazuo Sato (TRI-Osaka), Takashi Tateno (Hokkaido Univ.) NC2015-100
In this study, as a frontend device for the auditory prostheses in animal brain experiments, we have developed a piezoel... [more] NC2015-100
pp.179-184
SANE 2015-10-30
15:35
Osaka OIT UMEKITA Knowledge Center Development of 79GHz FMCW Polarimetric radar and measurement of the Doppler effect
Shigeki Morisawa, Michiko Kikuchi, Tomoyuki Sugiyama, Nguyen Van Dong (RFtestLab), Hirokazu Kobayashi (OIT), Hiroyoshi Yamada (Niigata Univ.) SANE2015-47
In this report we discuss about 79GHz-band FMCW radar for multi-purpose application. The developed millimeter wave radar... [more] SANE2015-47
pp.31-36
SIP 2015-08-20
10:20
Tokyo National Institute of informatics A Study of High-precision Activity Meter by Microwave Sensor Using Machine Learning
Michiyo Hiramoto, Kurato Maeno (OKI) SIP2015-58
We have studied a high-precision activity meter without any wearable devices for the elderly who intend to stay at their... [more] SIP2015-58
pp.41-46
US 2015-06-19
12:30
Kumamoto Kumamoto University Investigation of Echo Signal from Microcalcification Embedded in Soft Tissue by Controlling Oscillating Disturbance
Yu Naito, Masayuki Tanabe, Masahiko Nishimoto (Kumamoto Univ.), Hiroshi Hashimoto, Takao Jibiki, Tadashi Shimazaki (GE Healthcare Japan) US2015-16
When strongly reflecting objects such as calcifications in soft tissue are scanned in Doppler mode, fluctuation of red a... [more] US2015-16
pp.1-5
EA, US
(Joint)
2014-01-27
13:00
Osaka Kansai University, Centenary Memorial Hall Position and velocity imaging of moving objects using the M-sequence modulated ultrasound
Yohei Ikari, Shinnosuke Hirata, Hiroyuki Hachiya (Tokyo Inst. of Tech.) US2013-86
Pulse compression using M-sequence modulated signals can improve the SNR of the reflected echo and distance resolution i... [more] US2013-86
pp.25-30
SP, EA, SIP 2013-05-16
11:20
Okayama   Human Sensing Technique Using Microwave Doppler Radar Based on Higher-order Local Autocorrelation Features
Daisuke Okuya, Michiyo Hiramoto, Kurato Maeno (OKI) EA2013-3 SIP2013-3 SP2013-3
Conventionally, as for the feeling sensor of a person which detects the existence of the person in object area, it is co... [more] EA2013-3 SIP2013-3 SP2013-3
pp.13-18
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