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TIME-OF-ARRIVAL MEASUREMENT METHOD FOR REFLECTED WAVES FROM MULTIPLE DIRECTIONS USING DOPPLER EFFECT BY A SINGLE COAXIALLY PLACED OMNIDIRECTIONAL SP AND MIC 29

TIME-OF-ARRIVAL MEASUREMENT METHOD FOR REFLECTED WAVES FROM ...

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29th International Congress on Sound and Vibration, ICSV 2023

作者： Tsuchiya, Atsushi Wakatsuki, Naoto Ebihara, Tadashi Zempo, Keiichi Mizutani, Koichi Graduate School of Science and Technology University of Tsukuba 1-1-1 Tennoudai Ibaraki Tsukuba305-8573 Japan Faculty of Engineering Information and Systems University of Tsukuba 1-1-1 Tennoudai Ibaraki Tsukuba305-8573 Japan

ISBN: (纸本)9788011034238

A distance measurement method using sound waves has been studied to estimate a robot's self-position indoors. This paper proposes a method to measure the arrival time of reflected waves from multiple directions using a single omnidirectional acoustic transceiver. An acoustic transmitter emits horizontally omnidirectional sound waves to measure the distances to the objects around it. However, if reflected waves from different paths arrive at the same time, it is impossible to separate the reflected waves. In addition, omnidirectional acoustic receiver records sound waves from all directions, causing multipath interference in indoor environments. The separation of multipath waves into individual waves in such an environment is a challenging task. We utilized the Doppler effect to solve this problem. When the acoustic transceiver moves at a known speed, the received signal is affected by the Doppler effect, which depends on the speed and the direction of arrival. We obtain the impulse response corresponding to the change velocity of the distance to the reflective wall by applying multiple resampling processes with different magnification factors and cyclic cross-correlation to the received signal. Assuming that the velocity is known, the change velocity of the distance to the reflective wall corresponds to the direction of arrival. The arrival times of reflected waves were measured by detecting peaks in the intensity matrix of the impulse responses, where the axes correspond to the arrival time and the direction of arrival. This method enables the individual detection of reflected waves arriving from different directions. © 2023 Proceedings of the International Congress on Sound and Vibration. All rights reserved.

关键词： Doppler effect

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Catching Flying Ball with Drone Using Monte Carlo Model Predictive Control method

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IFAC-PapersOnLine 2024年第18期58卷 329-334页

作者： LIUYI ZHU Hisashi DATE Graduate School of Science and Technology University of Tsukuba 1-1-1 Tennodai Tsukuba Institute of Engineering Information and Systems University of Tsukuba 1-1-1 Tennodai Tsukuba

In some sporting events, including baseball, the ball few into the spectator area, resulting in serious injuries. Having witnessed such situations, we felt that the safety of the spectator environment needed to be improved. The aim is, therefore, to prevent such accidents by utilizing drones to catch flying balls. Monte Carlo Model Predictive Control (MCMPC) is a Monte Carlo-based control method. MCMPC is sample-based and does not require a gradient in the cost function, allowing discontinuous events such as collisions with obstacles to be incorporated into the predictive model. This study aims to utilize MCMPC to reduce the risk of drone collision after successful flying ball capture.

关键词： Model Predictive Optimization-based Control Monte Carlo methods UAV

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A glance over the past decade: road scene parsing towards safe and comfortable autonomous driving

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Autonomous Intelligent systems 2025年第1期5卷 1-15页

作者： Fan, Rui Li, Jiahang Li, Jiaqi Wang, Jiale Long, Ziwei Jia, Ning Liu, Yanan Wang, Wenshuo Bocus, Mohammud J. Vityazev, Sergey Chen, Xieyuanli Xiao, Junhao Andreev, Stepan Lu, Huimin Dvorkovich, Alexander College of Electronics & Information Engineering Shanghai Institute of Intelligent Science and Technology Shanghai Research Institute for Intelligent Autonomous Systems the State Key Laboratory of Intelligent Autonomous Systems and the Frontiers Science Center for Intelligent Autonomous Systems Tongji University 4800 Caoan Rd Shanghai201804 China College of Electronics & Information Engineering Tongji University 4800 Caoan Rd Shanghai201804 China School of Microelectronics Shanghai University 20 Chengzhong Rd Shanghai201800 China School of Mechanical Engineering Beijing Institute of Technology 5 Zhongguancun South Street Beijing100081 China Department of Electrical and Electronic Engineering University of Bristol Woodland Road England BristolBS8 1UB United Kingdom Faculty of Radio Engineering and Telecommunications Ryazan State Radio Engineering University Ulitsa Gagarina 59/1 Ryazan Oblast Ryazan390005 Russia College of Intelligence Science and Technology National University of Defense Technology 109 Deya Road Changsha410073 China Microwave Photonics Department Telecommunications Center Moscow Institute of Physics and Technology Institutsky Lane 9 Moscow Region Dolgoprudny141701 Russia Multimedia Technology and Telecom Department Telecommunications Center Moscow Institute of Physics and Technology Institutsky Lane 9 Moscow Region Dolgoprudny141701 Russia

Road scene parsing is a crucial capability for self-driving vehicles and intelligent road inspection systems. Recent research has increasingly focused on enhancing driving safety and comfort by improving the detection of both drivable areas and road defects. This article reviews state-of-the-art networks developed over the past decade for both general-purpose semantic segmentation and specialized road scene parsing tasks. It also includes extensive experimental comparisons of these networks across five public datasets. Additionally, we explore the key challenges and emerging trends in the field, aiming to guide researchers toward developing next-generation models for more effective and reliable road scene parsing. © The Author(s) 2025.

关键词： Semantics

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Sleep Visualization through Indirect Biofeedback for Patients’ Behavioral Changes and Sleep Quality

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, information and systems 2022年第6期142卷 637-642页

作者： Takahara, Madoka Suto, Hidetsugu Tanev, Ivan Shimohara, Katsunori College of Information and Systems Design and Manufacturing Technology Graduate School of Engineering Muroran Institute of Technology 27-1 Muzumotocho Hokkaido Muroran050-8585 Japan Graduate School of Science and Engineering Doshisha University 1-3 Tatara Miyakodani Kyoto Kyotanabe610-0394 Japan

This paper proposes a sleep visualization system through indirect biofeedback for patients’ behavioral changes and improves sleep quality. In a super-aging society that has been developing in the world, efficient and high-quality cares for elderly people are needed. Especially in nursing care, a lot of patients have sleep problems due to reduced stamina and activity, and it eventually results in the increase of caregivers’ strain and burden. For solving this problem, a sleep visualization system using indirect biofeedback is developed for patients aiming to behavioral changes and improving the sleep quality. To validate the proposed system, an experiment was conducted with five elderly persons. As a result, it is verified that some patients were interested in their sleep quality through the proposed system and the sleep score could be improved. © 2022 The Institute of Electrical Engineers of Japan.

关键词： Visualization

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A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs)

A full privacy-preserving distributed batch-based certificat...

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作者： Rabie, Osama Bassam J. Selvarajan, Shitharth Hasanin, Tawfiq Mohammed, Gouse Baig Alshareef, Abddulrhman M. Uddin, Mueen Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Cybersecurity Center King Abdulaziz University Jeddah Saudi Arabia Department of Computer Science Kebri Dehar University Kebri Dehar Ethiopia School of Built Environment Engineering and Computing Leeds Beckett University LeedsLS1 3HE United Kingdom Department of Computer Science and Engineering Vardhaman College of Engineering Hyderabad India College of Computing and Information Technology University of Doha for Science and Technology Doha24449 Qatar

The dynamic connectivity and functionality of sensors has revolutionized remote monitoring applications thanks to the combination of IoT and wireless sensor networks (WSNs). Wearable wireless medical sensor nodes allow continuous monitoring by amassing physiological data, which is very useful in healthcare applications. These text data are then sent to doctors via IoT devices so they can make an accurate diagnosis as soon as possible. However, the transmission of medical text data is extremely vulnerable to security and privacy assaults due to the open nature of the underlying communication medium. Therefore, a certificate-less aggregation-based signature system has been proposed as a solution to the issue by using elliptic curve public key cryptography (ECC) which allows for a highly effective technique. The cost of computing has been reduced by 93% due to the incorporation of aggregation technology. The communication cost is 400 bits which is a significant reduction when compared with its counterparts. The results of the security analysis show that the scheme is robust against forging, tampering, and man-in-the-middle attacks. The primary innovation is that the time required for signature verification can be reduced by using point addition and aggregation. In addition, it does away with the reliance on a centralized medical server in order to do verification. By taking a distributed approach, it is able to fully preserve user privacy, proving its superiority. © 2023, The Author(s).

关键词： Sensor nodes

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Label-Free organelle image prediction using deep learning and large-scale hyperspectral stimulated Raman imaging

Label-Free organelle image prediction using deep learning an...

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Advanced Chemical Microscopy for Life science and Translational Medicine 2025

作者： Ma, Yang Mizuguchi, Takaha Spratt, Spencer John Ozeki, Yasuyuki Department of Electrical Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8904 Japan

ISBN: (纸本)9781510684126

Stimulated Raman scattering (SRS) microscopy is regarded as a powerful technique of vibrational spectroscopic imaging. Nevertheless, it is still challenging to discriminate various organelles only with spectroscopic signatures. Recently, a deep learning model was employed to predict molecular-specific fluorescence images from SRS images, paving the way for label-free organelle imaging. Here we demonstrate fluorescence prediction with an SRS/fluorescence image dataset with a larger data size (∼300 image pairs) and a larger number of hyperspectral points compared to the previous report. Taking advantage of the larger dataset, we realize accurate fluorescence prediction. © 2025 SPIE.

关键词： Fluorescence imaging

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Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach

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IEEE Transactions on Wireless Communications 2024年第5期23卷 4932-4949页

作者： Cao, Yang Lien, Shao-Yu Liang, Ying-Chang Niyato, Dusit Shen, Xuemin Southwest Jiaotong University School of Information Science and Technology Chengdu611756 China Institute of Intelligent Systems National Yang Ming Chiao Tung University Tainan City711 Taiwan Chengdu611731 China Nanyang Technological University School of Computer Science and Engineering Jurong West639798 Singapore University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada

Constructing earth-fixed cells with low-earth orbit (LEO) satellites in non-terrestrial networks (NTNs) has been the most promising paradigm to enable global coverage. The limited computing capabilities on LEO satellites however render tackling resource optimization within a short duration a critical challenge. Although the sufficient computing capabilities of the ground infrastructures can be utilized to assist the LEO satellite, different time-scale control cycles and coupling decisions between the space- and ground-segments still obstruct the joint optimization design for computing agents at different segments. To address the above challenges, in this paper, a multi-time-scale deep reinforcement learning (DRL) scheme is developed for achieving the radio resource optimization in NTNs, in which the LEO satellite and user equipment (UE) collaborate with each other to perform individual decision-making tasks with different control cycles. Specifically, the UE updates its policy toward improving value functions of both the satellite and UE, while the LEO satellite only performs finite-step rollout for decision-makings based on the reference decision trajectory provided by the UE. Most importantly, rigorous analysis to guarantee the performance convergence of the proposed scheme is provided. Comprehensive simulations are conducted to justify the effectiveness of the proposed scheme in balancing the transmission performance and computational complexity. © 2002-2012 IEEE.

关键词： Resource allocation

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Brain Function Assessment of EEG in Mild Cognitive Impairment using Timelag Analysis

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, information and systems 2025年第4期145卷 467-473页

作者： Tanabe, Akifumi Harachi, Kento Yamamoto, Yusuke Muramatsu, Ayumi Nagahara, Hajime Takemura, Noriko Shimojo, Shinji Furihata, Daisuke Mizuno-Matsumoto, Yuko Graduate School of Information Science University of Hyogo 7-1-28 Minatojima Minami Chuo-ku Hyogo Kobe650-0047 Japan Department of Medical Engineering Aino University 4-5-4 Higashi-Ohda Ibaraki Osaka567-0012 Japan D3 Center The University of Osaka 2-8 Yamadaoka Osaka Suita565-0871 Japan D3 Center The University of Osaka 5-1 Mihogaoka Ibaraki Osaka567-0047 Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Fukuoka Iizuka820-8502 Japan Faculty of Software and Information Technology Aomori University 2-3-1 Shachihata Aomori-shi Aomori030-0943 Japan

This research aimed to reveal the information process in the brain of the patients who suffered from mild cognitive impairment (MCI) using the power spectra and timelag analysis in electroencephalogram (EEG). The patients with MCI have memory or thinking problems, and are at a great risk of developing Alzheimer's disease or a related dementia. Ten patients with MCI and 13 healthy adults (non-MCI) were examined. The EEGs (122.88 seconds/subject) during a state of relaxation with the eyes closed, were analyzed using the Fourier analysis (power spectrum) and the timelag analysis. The results showed that the mean value of the power spectra in MCI was significantly higher than the mean value in non-MCI in the theta band. The mean value of the absolute timelag values (ATL) in MCI was significantly lower than the mean value in non-MCI in the frontal and left temporal areas. Our findings suggest that the features from EEG of MCI were abstracted in the theta band, and the propagation of information related to memory in brain would becoming fast in MCI. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Electroencephalography

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Bicolour Pulse Encoding in a Polarization-Maintaining Laser by a Twistable Tapered-Fiber Lyot Filter 16

Bicolour Pulse Encoding in a Polarization-Maintaining Laser ...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Liu, Bowen Dai, Maolin Ma, Yifan Yamashita, Shinji Set, Sze Yun The University of Tokyo Research Center for Advanced Science and Technology 4-6-1 Komaba Meguro-ku Tokyo153-8904 Japan The University of Tokyo Department of Electrical Engineering and Information Systems 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

An effective method to control dichromatic pulse encodings is reported. The spectral ripples are enhanced via a twistable tapered-fiber Lyot filter, thereby degrading the actual saturable absorption and thus causing m... 详细信息

ISBN: (纸本)9798350372076

关键词： Signal encoding

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Temporal phase characterization of picosecond pulsed squeezed vacuum

Temporal phase characterization of picosecond pulsed squeeze...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Xu, Zicong Nitanai, Sho Ozeki, Yasuyuki Research Center of Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8904 Japan Department of Electrical Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

We propose a method to measure the temporal phase of ultrashort pulsed squeezed vacuum. We verified that the temporal chirp has limited influence on pulsed squeezing level. © Optica Publishing Group 2024 © 2... 详细信息

ISBN: (纸本)9781957171395

关键词： Fiber lasers

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