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arXiv 2021年

作者： Zhang, Xiangfei Niu, Yong Mao, Shiwen Cai, Yunlong He, Ruisi Ai, Bo Zhong, Zhangdui Liu, Yiru State Key Laboratory of Rail Traffic Control and Safety Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China National Mobile Communications Research Laboratory Southeast University Nanjing211189 China Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States Department of ISEE Zhejiang University China State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China

With the development of wireless communication, higher requirements arise for train-ground wireless communications in high-speed railway (HSR) scenarios. The millimeter-wave (mm-wave) frequency band with rich spectrum resources can provide users in HSR scenarios with high performance broadband multimedia services, while the full-duplex (FD) technology has become mature. In this paper, we study train-ground communication system performance in HSR scenarios with mobile relays (MRs) mounted on rooftop of train and operating in the FD mode. We formulate a nonlinear programming problem to maximize network capacity by allocation of spectrum resources. Then, we develop a sequential quadratic programming (SQP) algorithm based on the Lagrange function to solve the bandwidth allocation optimization problem for track-side base station (BS) and MRs in this mm-wave train-ground communication system. Extensive simulation results demonstrate that the proposed SQP algorithm can effectively achieve high network capacity for train-ground communication in HSR scenarios while being robust to the residual self-interference (SI). Copyright © 2021, The Authors. All rights reserved.

关键词： Resource allocation

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Mobility Support for Millimeter Wave Communications: Opportunities and Challenges

arXiv

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arXiv 2022年

作者： Li, Jing Niu, Yong Wu, Hao Ai, Bo Chen, Sheng Feng, Zhiyong Zhong, Zhangdui Wang, Ning The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing100044 China The National Mobile Communications Research Laboratory Southeast University Nanjing211189 China The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communications Ministry of Education Beijing100876 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China

Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the opportunities and technologies to support mmWave communications in mobile scenarios. Firstly, we summarize the mobile scenarios where mmWave communications are exploited, including indoor wireless local area network (WLAN) or wireless personal area network (WPAN), cellular access, vehicle-to-everything (V2X), high speed train (HST), unmanned aerial vehicle (UAV), and the new space-air-ground-sea communication scenarios. Then, to address users' mobility impact on the system performance in different application scenarios, we introduce several representative mobility models in mmWave systems, including human mobility, vehicular mobility, high speed train mobility and ship mobility. Next we survey the key challenges and existing solutions to mmWave applications, such as channel modeling, channel estimation, antiblockage, and capacity improvement. Lastly, we discuss the open issues concerning mobility-aware mmWave communications that deserve further investigation. In particular, we highlight future heterogeneous mobile networks, dynamic resource management, artificial intelligence (AI) for mobility and integration of geographical information, deployment of large intelligent surface and reconfigurable antenna technology, and finally, the evolution to Terahertz (THz) communications. Copyright © 2022, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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Heterogeneous Entity Representation for Medicinal Synergy Prediction

arXiv

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arXiv 2024年

作者： Wu, Jiawei Wen, Jun Yan, Mingyuan Dong, Anqi Gao, Shuai Wang, Ren Chen, Can School of Medicine National University of Singapore 119077 Singapore Harvard Medical School Harvard University BostonMA02115 United States Division of Decision and Control Systems Department of Mathematics KTH Royal Institute of Technology StockholmSE-100 44 Sweden Harvey Cushing Neuro-Oncology Laboratories Department of Neurosurgery Brigham and Women's Hospital Harvard Medical School BostonMA02115 United States Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States School of Data Science and Society University of North Carolina at Chapel Hill Chapel HillNC27599 United States Department of Mathematics University of North Carolina at Chapel Hill Chapel HillNC27599 United States

Motivation: Forecasting the synergistic effects of drug combinations facilitates drug discovery and development, especially regarding cancer therapeutics. While numerous computational methods have emerged, most of them fall short in fully modeling the relationships among clinical entities including drugs, cell lines, and diseases, which hampers their ability to generalize to drug combinations involving unseen drugs. These relationships are complex and multidimensional, requiring sophisticated modeling to capture nuanced interplay that can significantly influence therapeutic efficacy. Results: We present a novel deep hypergraph learning method named Heterogeneous Entity Representation for MEdicinal Synergy prediction (HERMES) to predict the synergistic effects of anti-cancer drugs. Heterogeneous data sources, including drug chemical structures, gene expression profiles, and disease clinical semantics, are integrated into hypergraph neural networks equipped with a gated residual mechanism to enhance high-order relationship modeling. HERMES demonstrates state-of-the-art performance on two benchmark datasets, significantly outperforming existing methods in predicting the synergistic effects of drug combinations, particularly in cases involving unseen drugs. Availability: The source code is publicly available at https://***/Christina327/*** Codes 92C50, 05C65, 68T07 © 2024, CC BY.

关键词： Gene expression

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Physico-chemical and biological evaluation of doxycycline loaded into hybrid oxide-polymer layer on Ti-Mo alloy

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Bioactive Materials 2020年第3期5卷 553-563页

作者： Alicja Kazek-Kęsik Agnieszka Nosol Joanna Płonka MonikaŚmiga-Matuszowicz Sebastian Student Monika Brzychczy-Włoch Małgorzata Krok-Borkowicz Elżbieta Pamuła Wojciech Simka Faculty of Chemistry Silesian University of TechnologyB.Krzywoustego Street 644-100GliwicePoland Biotechnology Centre Silesian University of TechnologyKrzywoustego 8 Street44-100GliwicePoland Faculty of Chemistry Silesian University of TechnologyM.Strzody 9 Street44-100GliwicePoland Department of Systems Biology and Engineering Faculty of Automatic ControlElectronics and Computer ScienceSilesian University of TechnologyAkademicka 16 Street44-100GliwicePoland Department of Microbiology Jagiellonian University Medical CollegeCzysta 18 Street31-121KrakowPoland Faculty of Materials Science and Ceramics AGH University of Science and TechnologyMickiewicza Av.3030-059KrakowPoland

Oxide-polymer coatings were formed on the surface of the vanadium-free Ti–15Mo titanium *** Ti alloy surface was modified by the plasma electrolytic oxidation process,and then,the polymer layer of a poly(D,Llactide-co-glycolide)with doxycycline was *** polymer evenly covered the porous oxide layer and filled some of the ***,the microstructure of the polymer surface was completely different from that of the PEO *** surface morphology,roughness and microstructure of the polymer layer were examined by scanning electron microscopy(SEM)and a confocal *** results confirmed the effectiveness of polymer and doxycycline deposition in their stable chemical *** drug analysis was performed by highperformance liquid *** 1H NMR technique was used to monitor the course of hydrolytic degradation of *** was shown that the PLGA layer is hydrolysed within a few weeks,and the polyglycolidyl part of the copolymer is hydrolysed to glycolic acid as first and much faster than the polylactide one to lactic *** paper presents influence of different microstructures on the biological properties of modified titanium *** and bacterial adhesion tests were evaluated using osteoblast-like MG-63 cells and using the reference *** and *** *** results showed that the optimum concentration of doxycycline was found to inhibit the growth of the bacteria and that the layer is still cytocompatible.

关键词： Biomaterials Titanium alloy Plasma electrolytic oxidation Oxide-polymer hybrid coatings Doxycycline

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Domain adaptation by class centroid matching and local manifold self-learning

arXiv

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arXiv 2020年

作者： Tian, Lei Tang, Yongqiang Hu, Liangchen Ren, Zhida Zhang, Wensheng Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing101408 China Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China

Domain adaptation has been a fundamental technology for transferring knowledge from a source domain to a target domain. The key issue of domain adaptation is how to reduce the distribution discrepancy between two domains in a proper way such that they can be treated indifferently for learning. Different from existing methods that make label prediction for target samples independently, in this paper, we propose a novel domain adaptation approach that assigns pseudo-labels to target data with the guidance of class centroids in two domains, so that the data distribution structure of both source and target domains can be emphasized. Besides, to explore the structure information of target data more thoroughly, we further introduce a local connectivity self-learning strategy into our proposal to adaptively capture the inherent local manifold structure of target samples. The aforementioned class centroid matching and local manifold self-learning are integrated into one joint optimization problem and an iterative optimization algorithm is designed to solve it with theoretical convergence guarantee. In addition to unsupervised domain adaptation, we further extend our method to the semi-supervised scenario including both homogeneous and heterogeneous settings in a direct but elegant way. Extensive experiments on five benchmark datasets validate the significant superiority of our proposal in both unsupervised and semi-supervised manners. Copyright © 2020, The Authors. All rights reserved.

关键词： Iterative methods

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Co-Saliency Detection Using Collaborative Feature Extraction And High-To-Low Feature Integration

Co-Saliency Detection Using Collaborative Feature Extraction...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Jingru Ren Zhi Liu Gongyang Li Xiaofei Zhou Cong Bai Guangling Sun Shanghai Institute for Advanced Communication and Data Science Shanghai University China Institute of Information and Control Hangzhou Dianzi University China College of Computer Science Zhejiang University of Technology China School of Communication and Information Engineering Shanghai University China

ISBN: (数字)9781728113319

ISBN: (纸本)9781728113326

Co-saliency detection, as a developing research branch of saliency detection, devotes to identify the common salient objects in a group of related images. The major challenge of co-saliency detection is how to effectively represent features considering both intra-image and inter-image information. In this paper, we propose a co-saliency detection model using collaborative feature extraction and high-to-low feature integration. We first feed the target image and its co-images into the Individual Feature Extraction Module (IFEM) to produce multi-level individual features. Then, to capture the collaborative inter-image information, the Collaborative Feature Extraction Module (CFEM) is applied to all highest-level individual features, generating the collaborative feature. Finally, we build a High-to-low Feature Integration Module (HFIM), which integrates the collaborative feature and multi-level individual features of the target image, to enrich the collaborative feature with individual intra-image information. Extensive experiments on two public datasets demonstrate that the proposed model achieves the state-of-the-art performance.

关键词： Feature extraction Collaboration Correlation Cats Computational modeling Task analysis Visualization

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Preface

Lecture Notes in Electrical Engineering

引用

Lecture Notes in Electrical engineering 2022年 820卷 v页

作者： Chanda, Chandan Kumar Szymanski, Jerzy R. Sikander, Afzal Mondal, Pranab Kumar Acharjee, Dulal Department of Electrical Engineering Indian Institute of Engineering Science and Technology West Bengal Shibpur India Department of Electrical Drives Kazimierz Pulaski University of Technology and Humanity Radom Poland Instrumentation and Control Engineering Dr. B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Mechanical Engineering Indian Institute of Technology Guwahati Guwahati India Computer Science Applied Computer Technology West Bengal Kolkata India

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Event-Triggered Dissipative control for Discrete-Time T-S Fuzzy Singular Systems Based on PQLF

Event-Triggered Dissipative Control for Discrete-Time T-S Fu...

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第三十八届中国控制会议

作者： Jiangrong Li Changzhu Zhang Juan Shi Jian Chang Qiang Xie College of Mathematics and Computer Science Yanan University Department of Control Science and Engineering Tongji University College of Engineering and Science Victoria University

This paper concerns with the problem of event-triggered dissipative control for discrete-time fuzzy singular systems. By adopting the fuzzy modeling and the idea of input delay method, the nonlinear singular system with eventtriggered control scheme is reformulated as a new piecewise fuzzy singular system with time delays. Based on the PQLF and some techniques on matrix convexification, an approach to the event-trigger dissipative piecewise state-feedback controller design is developed for the system concerned to be strictly（W, W, W）-γ-dissipative. In addition, the controller gain and the event triggering parameters have been derived by solving a series of linear matrix ***, a numerical example is provided to demonstrate the effectiveness of the proposed method.

关键词： Event-triggered singular systems PQLF

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On the Security of Cryptographic Protocols Using the Little Theorem of Witness Functions

On the Security of Cryptographic Protocols Using the Little ...

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2019 IEEE Canadian Conference of Electrical and computer engineering, CCECE 2019

作者： Fattahi, Jaouhar Mejri, Mohamed Pricop, Emil Department of Computer Science and Software Engineering Laval University Pavillon Adrien-Pouliot local 3766 Quebec city Canada Automatic Control Computers and Electronics Department Petroleum-Gas University Ploiesti Romania

ISBN: (纸本)9781728103198

In this paper, we show how practical the little theorem of witness functions is in detecting security flaws in some categories of cryptographic protocols. We convey a formal analysis of the Needham-Schroeder symmetric-key protocol in the theory of witness functions. We show how it helps to warn about a security vulnerability in a given step of this protocol where the value of security of a sensitive ticket in a sent message unexpectedly decreases compared with its value when received. This vulnerability may be exploited by an intruder to mount a replay attack as described by Denning and Sacco. © 2019 IEEE.

关键词： Cryptography

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FES based wrist tremor suppression using multi-periodic repetitive control ⁎

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IFAC-PapersOnLine 2020年第2期53卷 10135-10140页

作者： Zan Zhang Bing Chu Yanhong Liu D.H. Owens School of Electrical Engineering Zhengzhou University Zhengzhou China Department of Electronics and Computer Science university of southampton Southampton SO17 1BJ UK Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK

Tremor is a very common motor disorder, mainly manifested as involuntary, periodic and rhythmic movement in any part of the body, especially in hands and upper-limbs, which seriously affects the life quality of patients. Functional electrical stimulation (FES) has been shown a promising technique to suppress tremor. Most existing FES based design methods assume tremor is a single frequency signal which however is a highly idealized simplification of the real case which contains multiple-frequency or even a frequency band, therefore limiting their practical performance. To address this problem, this paper proposes a controller design method based on multi-periodic repetitive control that is capable of suppressing tremor signal with multiple frequencies. Simulation and experimental results verify the effectiveness of the proposed method.

关键词： Functional electrical stimulation (FES) tremor suppression multi-periodic repetitive control simulation experimental verification

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