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arXiv 2024年

作者： Wang, Jiayi Mao, Yi-An Ma, Xiaoyu Guo, Sicen Shao, Yuting Lv, Xiao Han, Wenting Christopher, Mark Zangwill, Linda M. Bi, Yanlong Fan, Rui Group The College of Electronics & Information Engineering Tongji University Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201210 China School of Life Science Shanghai University 99 Shangda Avenue Baoshan District Shanghai200444 China Department of Ophthalmology Tongji Hospital School of Medicine Tongji University Shanghai200071 China Hamilton Glaucoma Center Division of Ophthalmology Informatics and Data Science Shiley Eye Institute Viterbi Family Department of Ophthalmology University of California San Diego San DiegoCA92037 United States Tongji Eye Institute School of Medicine Tongji University Shanghai200071 China

Optic nerve head (ONH) detection has been a crucial area of study in ophthalmology for years. However, the significant discrepancy between fundus image datasets, each generated using a single type of fundus camera, poses challenges to the generalizability of ONH detection approaches developed based on semantic segmentation networks. Despite the numerous recent advancements in general-purpose semantic segmentation methods using convolutional neural networks (CNNs) and Transformers, there is currently a lack of benchmarks for these state-of-the-art (SoTA) networks specifically trained for ONH detection. Therefore, in this article, we make contributions from three key aspects: network design, the publication of a dataset, and the establishment of a comprehensive benchmark. Our newly developed ONH detection network, referred to as ODFormer, is based upon the Swin Transformer architecture and incorporates two novel components: a multi-scale context aggregator and a lightweight bidirectional feature recalibrator. Our published large-scale dataset, known as TongjiU-DROD, provides multi-resolution fundus images for each participant, captured using two distinct types of cameras. Our established benchmark involves three datasets: DRIONS-DB, DRISHTI-GS1, and TongjiU-DROD, created by researchers from different countries and containing fundus images captured from participants of diverse races and ages. Extensive experimental results demonstrate that our proposed ODFormer outperforms other state-of-the-art (SoTA) networks in terms of performance and generalizability. Our dataset and source code are publicly available at ***/ODFormer. Copyright © 2024, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Switchless Interconnect Network with PCIe Non-Transparent Bridge Interface 10th

Switchless Interconnect Network with PCIe Non-Transparent Br...

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10th International Conference on Computer science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous information Technologies and Applications, CUTE 2018

作者： Kim, Sang-Gyum Lee, Yang-Woo Lim, Seung-Ho Cha, Kwang-ho Division of Computer and Electronic Systems Engineering Hankuk University of Foreign Studies Seoul Korea Republic of Center for Supercomputer Development Korea Institute of Science and Technology Information Daejon Korea Republic of

ISBN: (纸本)9789811393402

HPC systems are one of the important role to run a lot of high-performance applications. Conventionally, HPC deploys switch-based interconnect networks to connect host nodes with high cost and high performance technologies such as Infiniband and Ethernet. However, high cost interconnection switches may not be required by desired cost-effective HPC system. To give cost-effective interconnect network interface, we introduce prototype of switchless interconnect network with PCIe NTB to give cost-effective interconnect network for HPC systems. In the prototyped system, computing nodes are connected to each other via PCIe NTB interface constructing switchless interconnect network such as ring or 2d mesh network. Also, we have implemented prototyped data sharing mechanism on the switchless interconnect network system. The designed switchless interconnect network system is cost-effective as well as it provides competitive data transferring bandwidth within the interconnect network. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Cost effectiveness

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Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges

arXiv

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arXiv 2023年

作者： Liu, Qi Yang, Zhiyun Ji, Ru Zhang, Yonghong Bilal, Muhammad Liu, Xiaodong Vimal, S. Xu, Xiaolong The Wuxi University 333 Xishan Avenue Wuxi214105 China The School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China The Division of Computer and Electronic Systems Engineering Hankuk University of Foreign Studies Korea Republic of The School of Computing Edinburgh Napier University EdinburghEH10 5DT United Kingdom The Department of Artificial Intelligence & DS Ramco Institute of Technology Tamilnadu India

Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this paper, recent relevant scientific investigation and practical efforts using Deep Learning (DL) models for weather radar data analysis and pattern recognition have been reviewed;particularly, in the fields of beam blockage correction, radar echo extrapolation, and precipitation nowcast. Compared to traditional approaches, present DL methods depict better performance and convenience but suffer from stability and generalization. In addition to recent achievements, the latest advancements and existing challenges are also presented and discussed in this paper, trying to lead to reasonable potentials and trends in this highly-concerned *** Codes I.2, I.4, I.5 © 2023, CC BY-NC-SA.

关键词： Extrapolation

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Performing optical logic operations by a diffractive neural network

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Light(science & Applications) 2020年第1期9卷 1448-1454页

作者： Chao Qian Xiao Lin Xiaobin Lin Jian Xu Yang Sun Erping Li Baile Zhang Hongsheng Chen Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical InstrumentationCollege of Information Science and Electronic EngineeringZhejiang University310027 HangzhouChina ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab.of Advanced Micro/Nano Electronic Devices&Smart Systems of ZhejiangZhejiang University310027 HangzhouChina Department of Electrical Engineering California Institute of TechnologyPasadenaCAUSA ZJU-UIUC Institute Zhejiang University310027 HangzhouChina Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore 637371Singapore

Optical logic operations lie at the heart of optical computing,and they enable many applications such as ultrahighspeed information ***,the reported optical logic gates rely heavily on the precise control of input light signals,including their phase difference,polarization,and intensity and the size of the incident *** to the complexity and difficulty in these precise controls,the two output optical logic states may suffer from an inherent instability and a low contrast ratio of ***,the miniaturization of optical logic gates becomes difficult if the extra bulky apparatus for these controls is *** such,it is desirable to get rid of these complicated controls and to achieve full logic functionality in a compact photonic *** a goal remains ***,we introduce a simple yet universal design strategy,capable of using plane waves as the incident signal,to perform optical logic operations via a diffractive neural ***,the incident plane wave is first spatially encoded by a specific logic operation at the input layer and further decoded through the hidden layers,namely,a compound Huygens’*** is,the judiciously designed metasurface scatters the encoded light into one of two small designated areas at the output layer,which provides the information of output logic ***,after training of the diffractive neural network,all seven basic types of optical logic operations can be realized by the same *** a conceptual illustration,three logic operations(NOT,OR,and AND)are experimentally demonstrated at microwave frequencies.

关键词： surface operations precise

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Real-time Vital Signs Monitoring Based on COTS WiFi Devices

Real-time Vital Signs Monitoring Based on COTS WiFi Devices

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yu Gu Xiang Zhang Huan Yan Zhi Liu Yusheng Ji School of Computer and Information Hefei University of Technology Hefei China The University of Electro-Communications Tokyo Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan

ISBN: (纸本)9781665429825

Real-time vital signs (breathing and heartbeat) monitoring is essential for patient care and sleep disease prevention. Current solutions are mostly based on wearable sensors or cameras, the former affects the quality of sleep, while the latter is not conducive to privacy protection, and the cost of these methods is usually expensive. In this paper, we propose Wital, a real-time vital signs monitoring system based on the low-cost and widespread COTS WiFi device. Most of the existing WiFi-based vital signs monitoring solutions utilize the line of sight (LOS) WiFi signals to achieve powerful performance. However, in our daily environments, NLOS sensing is more common. In this article, we first model the relationship between the energy ratio of LOS/NLOS signals and the ability to monitor vital signs based on the Ricean-K theory and theoretically prove that blocking LOS signals in NLOS sensing is more beneficial. We have also established a real-time vital signs monitoring system to verify our method, and the experimental results prove the effectiveness of our method.

关键词： Performance evaluation Privacy Heart beat Tracking Prototypes Real-time systems Biomedical monitoring

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Understanding User Perceptions and Knowledge: A Survey of Public Acceptance of Driving Automation

SSRN

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SSRN 2024年

作者： Zhou, Huiping Itoh, Makoto Kitazaki, Satoshi Autonomous Driving Research Division Japan Automobile Research Institute 2530 Karima Ibaraki Tsukuba305-0822 Japan Institute of Systems and Information Engineering University of Tsukuba 1-1-1 Tennoudai Ibaraki Tsukuba305-8573 Japan Center for Artificial Intelligence Research University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan National Institute of Advanced Industrial Science and Technology 1-1-1 Higashi Tsukuba Ibaraki305-8566 Japan

Prior knowledge is crucial in determining public behavior toward the emerging technology of driving automation (DA). However, the mechanism by which knowledge influences such behavior remains unclear. This study explores the existing knowledge of consumers and their desire to learn more, aiming to elucidate the relationship between acquired and desired knowledge and public interest regarding DA in Japan. A web-based survey was administered, with 1,074 respondents completing the questionnaire. The findings indicate that 70.3% of participants expressed interest in DA, and 17.2% had seriously considered purchasing an automated vehicle. Statistical analysis revealed a significant correlation between public interest and both known and desired knowledge. As consumers’ willingness to purchase an automated vehicle (AV) increased, their interest shifted from general functions to specific applications. Additionally, approximately 60% of those who decided to purchase or had already purchased an AV reported not receiving any guidance from dealerships. This lack of educational resources and hands-on experience may contribute to the significant gap observed between acquired and desired knowledge. This gap also explains why approximately 40% of respondents with a high interest in using DA technologies could not correctly understand driver responsibilities. These results highlight the importance of effectively conveying knowledge to enhance public interest and acceptance and suggest the need to develop efficient educational initiatives for users in future work. © 2024, The Authors. All rights reserved.

关键词： Automation

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Modern deep learning in bioinformatics

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Journal of Molecular Cell Biology 2020年第11期12卷 823-827页

作者： Haoyang Li Shuye Tian Yu Li Qiming Fang Renbo Tan Yijie Pan Chao Huang Ying Xu Xin Gao Cancer Systems Biology Center The China-Japan Union HospitalJilin UniversityChangchun 130033China MOE Key Laboratory of Symbolic Computation and Knowledge Engineering College of Computer Science and TechnologyJilin UniversityChangchun 130012China Department of Biology Southern University of Science and TechnologyShenzhen 518055China Computational Bioscience Research Center(CBRC) Computer Electrical and Mathematical Sciences and Engineering(CEMSE)DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou 310018China Ningbo Institute of Information Technology Application Chinese Academy of SciencesNingbo 315040China Computational Systems Biology Lab Department of Biochemistry and Molecular Biology and Institute of BioinformaticsUniversity of GeorgiaAthensGA 30602USA

Deep learning(DL)has shown explosive growth in its application to bioinformatics and has demonstrated thrillingly promising power to mine the complex relationship hidden in large-scale biological and biomedical data.A number of comprehensive reviews have been published on such applications,ranging from high-level reviews with future perspectives to those mainly serving as tutorials.

关键词： has such she

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Cluster Formation in Multiagent Consensus via Dynamic Resilient Graph Games

Cluster Formation in Multiagent Consensus via Dynamic Resili...

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Control technology and Applications (CCTA),

作者： Yurid Nugraha Ahmet Cetinkaya Tomohisa Hayakawa Hideaki Ishii Quanyan Zhu Tokyo Institute of Technology Tokyo Japan Ahmet Cetinkaya is with the Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan Tokyo Insitute of Technology Yokohama Japan New York University Brooklyn NY USA

ISBN: (纸本)9781665436441

In this paper we formulate a two-player game-theoretic problem on resilient graphs representing communication channels that are vulnerable to attacks in multiagent consensus setting. An attacker is capable to disconnect part of the edges of the graph by emitting jamming signals while, in response, the defender recovers some of them by increasing the transmission power for the communication signals over the corresponding edges. It is also possible for the attacker to emit stronger jamming signals that cannot be overcome by the defender. We consider repeated games where the utilities of players in each game depend on attack/recovery performance measured over multiple intervals. The utilities of both players are mainly related to agents’ states and the cluster formation, i.e., how the agents are divided. The players’ actions are constrained by their energy for transmissions, with a less strict constraint for the attacker compared to the defender. Numerical examples of dynamic games played over time are provided to demonstrate the cluster formation.

关键词： Conferences Games Communication channels Jamming

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The integration of microelectronic and photonic circuits on a single silicon chip for high-speed and low-power optoelectronic technology

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Nano Materials science 2024年

作者： Gupta, Rajeev Kumar, Ajay Kumar, Manoj Singh, Rajesh Gehlot, Anita Pandey, Purnendu Shekhar Yadav, Neha Pandey, Kailash Yadav, Ashish Gupta, Neha Brajpuriya, Ranjeet Kumar, Shalendra Verma, Ajay Singh Kumar, Tanuj Wu, Yongling Hongyu, Zheng Biswas, Abhijit Mittal, Ajay Mondal, Aniruddha Ivanovich, Romanov Oleksandr Department of Physics School of Engineering University of Petroleum & Energy Studies Uttarakhand Dehradun-248007 India Jaypee Institute of Information Technology Uttar Pradesh Noida India MLR Institute of Technology Hyderabad India Uttaranchal Institute of Technology Uttaranchal University Dehradun248007 India Department of Project Management Universidad Internacional Iberoamericana CP Campeche24560 Mexico Department of Electronics and Communication Engineering GL Bajaj Institute of Technology and Management Affiliated to AKTU U.P Greater Noida201306 India Shandong University of Technology Zibo255000 China Applied Science and Humanity Department Dronacharya Group of Institutions Greater Noida India Division of Research and Innovation School of Applied and Life Sciences Uttaranchal University Uttarakhand Dehradun248007 India Department of Nanoscience & Materials Central University of Jammu Jammu181143 India USA Prime Biotech LLC 1330 NW 6th Street Suite A2 GainesvilleFL32601 United States Energy Cluster School of Engineering University of Petroleum & Energy Studies Uttarakhand Dehradun248007 India Department of Physics National Institute of Technology Durgapur West Bengal Durgapur713209 India Institute of Telecommunication Systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Kyiv Ukraine

The combining microelectronic devices and associated technologies onto a single silicon chip poses a substantial challenge. However, in recent years, the area of silicon photonics has experienced remarkable advancements and notable leaps in performance. The performance of silicon on insulator (SOI) based photonic devices, such as fast silicon optical modulators, photonic transceivers, optical filters, etc., have been discussed. This would be a step forward in creating standalone silicon photonic devices, strengthening the possibility of single on-chip nanophotonic integrated circuits. Suppose an integrated silicon photonic chip is designed and fabricated. In that case, it might drastically modify these combined photonic component costs, power consumption, and size, bringing substantial, perhaps revolutionary, changes to the next-generation communications sector. Yet, the monolithic integration of photonic and electrical circuitry is a significant technological difficulty. A complicated set of factors must be carefully considered to determine which application will have the best chance of success employing silicon-based integrated product solutions. The processing limitations connected to the current process flow, the process generation (sometimes referred to as lithography node generation), and packaging requirements are a few of these factors to consider. This review highlights recent developments in integrated silicon photonic devices and their proven applications, including but not limited to photonic waveguides, photonic amplifiers and filters, on-chip photonic transceivers, and the state-of-the-art of silicon photonic in multidimensional quantum systems. The investigated devices aim to expedite the transfer of silicon photonics from academia to industry by opening the next phase in on-chip silicon photonics and enabling the application of silicon photonic-based devices in various optical systems. © 2024 Chongqing University

关键词： Transceivers

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Adaptive Estimation for Environmental Monitoring Using an Autonomous Underwater Vehicle

Adaptive Estimation for Environmental Monitoring Using an Au...

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IEEE Conference on Decision and Control

作者： Ziwen Yang Joana Fonseca Shanying Zhu Cailian Chen Xinping Guan Karl H. Johansson Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Digital Futures

This paper considers the problem of monitoring and adaptively estimating an environmental field, such as temperature or salinity, using an autonomous underwater vehicle (AUV). The AUV moves in the field and persistently measures environmental scalars and its position in its local coordinate frame. The environmental scalars are approximately linearly distributed over the region of interest, and an adaptive estimator is designed to estimate the gradient. By orthogonal decomposition of the velocity of the AUV, a linear time-varying system is equivalently constructed, and the sufficient conditions on the motion of the AUV are established, under which the global exponential stability of the estimation error system is rigorously proved. Furthermore, an estimate of the exponential convergence rate is given, and a reference trajectory that maximizes the estimate of the convergence rate is obtained for the AUV to track. Numerical examples verify the stability and efficiency of the system.

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