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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

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Energy Efficient Base Station Transmit Power Adaptation for Green 5G Massive MIMO systems

Energy Efficient Base Station Transmit Power Adaptation for ...

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IEEE Vehicular Technology Conference

作者： Vahid. Kh A. Sali Asem A. Salah B. M. Ali R. S. A. Raja Abdullah I. Krikidis Wireless and Photonic Networks Research Centre of Excellence (WiPNet) Dept. of Computer and Communication Systems Engineering Faculty of Engineering UPM Serdang Selangor Dept. of Electrical Engineering Faculty of Engineering University of Malaya (UM) Kuala Lumpur Malaysia Dept. of Electrical and Computer Engineering University of Cyprus Cyprus

Characterising the fundamental energy efficiency (EE) limits of massive Multiple-Input-Multiple-Output (MIMO) systems is significant for the development of green wireless communications. This paper analyses the adaptation of optimal BS transmitted power according to channel conditions and users' Quality of Service (QoS) requirements. The optimal BS transmitted power has the potential to be utilised as an effective strategy to reduce BSs power consumption and consequently enhance the EE of the system. Thus, this paper conducts an analytical closed-form expression of optimal downlink BS transmitted power for massive MIMO systems with Zero Forcing (ZF) beamforming processing and perfect Channel State Information (CSI). User required data rate and maximum allowable outage probability are considered as users' QoS constraints. Both of theoretical and the simulation results, for several transmission modes, indicate that the average EE per BS is a unimodal function of the user required data rate that jointly increased up to the maximum point of EE, but further increases in the data rate can only come at a loss in average EE per BS. As the higher the data rate, the higher the circuit and transmit power consumption, due to the need for a larger number of BS antennas. The results indicate that system EE can be enhanced by reducing energy consumption through optimal BS transmitted power. This is achieved by adaptation to channel conditions and users' QoS requirements.

关键词： MIMO communication Downlink Quality of service Power demand Uplink Power system reliability Probability

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On Short Term Fairness and Throughput of User Clustering for Downlink Non-Orthogonal Multiple Access System

On Short Term Fairness and Throughput of User Clustering for...

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IEEE Vehicular Technology Conference

作者： Mohanad M. Al-Wani A. Sali Borhanuddin M. Ali Nor K. Noordin S. J. Hashim Asem A. Salah Keivan Navaie Chee Yen Leow Dept. of Computer and Communication Systems Engineering Faculty of Engineering UPM Wireless and Photonic Networks Research Centre of Excellence (WiPNet) Serdang Selangor Department of Electrical Engineering Faculty of Engineering University of Malaya (UM) Kuala Lumpur Malaysia School of Computing and Communications Lancaster University UK

Non-orthogonal multiple access (NOMA) with power-domain user multiplexing has been considered as one of the potential candidates of the fifth-Generation (5G) systems. In this paper, a two-stage user selection algorithm is proposed based on proportional fairness for downlink NOMA with zero-forcing beamforming (PF-NOMA-ZFBF) in order to improve the throughput-fairness trade-off for NOMA system. We focus on short term fairness, where short term refers to the minimum time window in which a specified fairness is guaranteed and evaluated using Jain's index. A transmit power allocation then applied to enhance the throughput of NOMA system. Simulation results show that the proposed PF-NOMA-ZFBF significantly improves user fairness index with at least 38.96% over conventional NOMA-ZFBF while maintaining the total system sum-rate (near maximum).

关键词： Throughput NOMA Resource management Interference Silicon carbide Downlink Array signal processing

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Why Are There Six Degrees of Separation in a Social Network?

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Physical Review X 2023年第2期13卷 021032-021032页

作者： I. Samoylenko D. Aleja E. Primo K. Alfaro-Bittner E. Vasilyeva K. Kovalenko D. Musatov A. M. Raigorodskii R. Criado M. Romance D. Papo M. Perc B. Barzel S. Boccaletti Moscow Institute of Physics and Technology 9 Institutskiy Pereulok Dolgoprudny Moscow Region 141701 Russia National Research University Higher School of Economics 6 Ulitsa Usacheva Moscow 119048 Russia Universidad Rey Juan Carlos Calle Tulipán s/n 28933 Móstoles Madrid Spain Department of Internal Medicine University of Michigan Ann Arbor Michigan 48109 USA Laboratory of Mathematical Computation on Complex Networks and their Applications Universidad Rey Juan Carlos Calle Tulipán s/n Móstoles 28933 Madrid Spain P.N. Lebedev Physical Institute of the Russian Academy of Sciences 53 Leninsky Prospekt Moscow 119991 Russia Scuola Superiore Meridionale Largo S. Marcellino 10 80138 Napoli NA Italy Russian Academy of National Economy and Public Administration 84 Prospekt Vernadskogo Moscow 119606 Russia Caucasus Mathematical Center at Adyghe State University 208 Pervomayskaya Ulitsa Maykop Adygea 385000 Russia Moscow State University 1 Leninskie Gory Moscow 119991 Russia Institute of Mathematics and Computer Science Buryat State University 5 Ulitsa Ranzhurova Ulan-Ude Buryatia 670000 Russia Data Complex Networks and Cybersecurity Research Institute Universidad Rey Juan Carlos Plaza Manuel Becerra 14 28028 Madrid Spain Department of Neuroscience and Rehabilitation University of Ferrara Ferrara Italy Center for Translational Neurophysiology of Speech and Communication Fondazione Istituto Italiano di Tecnologia Ferrara Italy Faculty of Natural Sciences and Mathematics University of Maribor Koroška cesta 160 2000 Maribor Slovenia Department of Medical Research China Medical University Hospital China Medical University Taichung 404332 Taiwan Complexity Science Hub Vienna Josefstädterstraße 39 1080 Vienna Austria Alma Mater Europaea Slovenska ulica 17 2000 Maribor Slovenia Department of Physics Kyung Hee University 26 Kyungheedae-ro Dongdaemun-gu Seoul Republic of Korea Department of Mathematics Bar-Ilan University Ramat-Gan 52900 Israel The Gonda Multi

A wealth of evidence shows that real-world networks are endowed with the small-world property, i.e., that the maximal distance between any two of their nodes scales logarithmically rather than linearly with their size. In addition, most social networks are organized so that no individual is more than six connections apart from any other, an empirical regularity known as the six degrees of separation. Why social networks have this ultrasmall-world organization, whereby the graph’s diameter is independent of the network size over several orders of magnitude, is still unknown. We show that the “six degrees of separation” is the property featured by the equilibrium state of any network where individuals weigh between their aspiration to improve their centrality and the costs incurred in forming and maintaining connections. We show, moreover, that the emergence of such a regularity is compatible with all other features, such as clustering and scale-freeness, that normally characterize the structure of social networks. Thus, our results show how simple evolutionary rules of the kind traditionally associated with human cooperation and altruism can also account for the emergence of one of the most intriguing attributes of social networks.

关键词： Degree distributions Network evolution Real world networks Small-world networks

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Outage Performance for Power Beacon-Assisted Wireless-Powered Cooperative communications

Outage Performance for Power Beacon-Assisted Wireless-Powere...

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IEEE Vehicular Technology Conference

作者： O. Messadi A. Sali Gaofeng Pan Zhiguo Ding Nor Kamariah Noordin Shaiful Jahari Hashim Dept. of Computer and Communication Systems Engineering Faculty of Engineering UPM Wireless and Photonic Networks Research Centre of Excellence (WiPNet) Serdang Selangor School of Electronic and Information Engineering Southwest University in Chongqing — SWU China School of Electrical and Electronic Engineering The University of Manchester Manchester UK

Motivated by the move towards the next generation of green communications, we study a power beacon (PB) assisted wireless-powered cooperative communication network (PBWPCCN). A new system model is proposed where a source and a number of relay terminals are not directly connected to the power grid. These terminals, including the source, need to harvests energy from radio frequency (RF) signals radiated from PB and works cooperatively to deliver the information to the target device successfully. The system executes this process in a two-stage relay selection decode-then-forward (2SRS-DF). First, the system selects a group of relay candidates that can successfully decode the received signal from the source. Second, from the first relays group that successfully decodes the source signal, the best relay with the maximum capability to forward the decoded message to the destination is selected. The closed-form expression for the average outage probability and the throughput of the proposed system is derived and presented. We validate the theoretical results by numerical simulations. The impact of position and number of relay terminals along with time allocation parameters are also studied.

关键词： Relays Probability Energy harvesting Power system reliability Throughput Wireless communication RF signals

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Interoperability and security challenges of Industrie 4.0 47

Interoperability and security challenges of Industrie 4.0

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47. Jahrestagung der Gesellschaft fur Informatik, Informatik 2017 - 47th Annual Meeting of the German Informatics Society (GI), Informatics 2017

作者： Watson, Venesa Tellabi, Asmaa Sassmannshausen, Jochen Lou, Xinxin University of Siegen Faculty of Science and Engineering Chair for Data Communication Systems Hölderlinstraße 3 Siegen57068 Germany Bielefeld University Department of Computer Networks and Distributed Systems Universitätsstraße 25 Bielefeld33615 Germany

ISBN: (纸本)9783885796695

Industrie 4.0 (I4.0) is the fourth industrial revolution, which will see the digital transformation of manufacturing, through the integration on Industrial Internet of Things (IIoT), Data and Services, and the convergence of Information Technology (IT) and Operational Technology (OT). With any such transformation, there exists challenges that must first be addressed for a successful outcome. For I4.0, these are interoperability and security, which respectively arise from the interconnection of devices from different manufacturers and/or with different communication protocols;and the interconnection of networks with competing critical and non-critical traffic, and the increased access to initially isolated networks. This paper presents an overview of standards, such as IEC 62443, the ISO 27000 series, IEC 62541 Open Connectivity Unified Architecture (OPC UA) and Time Sensitive networks (TSN) (IEEE 1722-2016), which addresses these challenges. © 2017 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Interoperability

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Inside Back Cover: SensitiveLeptospiraDNA detection using tapered optical fiber sensor (J. Biophotonics 8/2018)

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Journal of Biophotonics 2018年第8期11卷

作者： Nurul H. Zainuddin Hui Y. Chee Muhammad Z. Ahmad Mohd A. Mahdi Muhammad H. Abu Bakar Mohd H. Yaacob Department of Computer and Communication Systems Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Malaysia Wireless and Photonic Networks Research Centre (WiPNET) Universiti Putra Malaysia Serdang Selangor Malaysia Department of Microbiology and Parasitology Faculty of Medicine and Health Sciences Universiti Putra Malaysia Serdang Selangor Malaysia Biotechnology and Nanotechnology Research Center Malaysian Agricultural Research and Development Institute (MARDI) Serdang Selangor Malaysia

The background microscopic image shows leptospira interrogans bacteria, the source of Leptospirosis, a deadly disease but with common early flu-like symptoms and likely leads to under-diagnosed. Highly sensitive leptospira DNA sensor is developed using tapered optical fiber as shown by the schematic image. Laser transmits in the optical fiber interacts with the functionalized amine and aldehyde coatings (bottom images) to produce wavelength shifts upon DNA exposure around the tapered region. Further details can be found in the article by Nurul H. Zainuddin, Hui Y. Chee, Muhammad Z. Ahmad et al. ( e201700363 ).

关键词： DNA biosensor femtomolar concentrations infrared detection Leptospira bacteria leptospirosis disease tapered optical fiber wavelength shift

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent systems and Computing 2018年 678卷 v-vi页

作者： Thampi, Sabu M. Krishnan, Sri Rodriguez, Juan Manuel Corchado Das, Swagatam Wozniak͕, Michal Al-Jumeil, Dhiy School of CS/IT Indian Institute of Information Technology and Management TrivandrumKerala India Department of Electrical and Computer Engineering Ryerson University TorontoON Canada Department of Computer Science University of Salamanca SalamancaSalamanca Spain Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata West Bengal India Department of Systems and Computer Networks Wroclaw University of Science and Technology Wroclaw Poland Faculty of Engineering and Technology Liverpool John Moores University Liverpool United Kingdom

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Over layer sensing using terahertz meta-material split ring resonator

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Sensor Letters 2016年第4期14卷 447-450页

作者： Naeem, Nadeem Ismail, Alyani Alhawari, Adam Reda Hassan Mahdi, Mohd Adzir Faculty of Engineering Universiti Putra Malaysia Serdang Selangor43300 Malaysia Department of Computer and Communication Systems Engineering Research Center of Excellence for Wireless and Photonics Networks Universiti Putra Malaysia Serdang Selangor43300 Malaysia

Over layer sensing of thin dielectric layers using novel meta-material inspired split rings resonator based sensor is reported in this letter. The sensor is designed to work in terahertz frequency. The contribution of the proposed split ring resonator based terahertz sensor is in the sub-wavelength size simple planar structure design with high quality factor that effectively detects the presence of very thin dielectric sample layers as a function of sensor split gap area coverage. © 2016 American Scientific Publishers.

关键词： Ring gages

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state estimation for discrete-time memristive recurrent neural networks with stochastic time-delays

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International Journal of General systems 2016年第5期45卷 633页

作者： Liu, Hongjian Wang, Zidong Shen, Bo Alsaadi, Fuad E. [a] School of Information Science and Technology Donghua University Shanghai China.[b] Department of Computer Science Brunel University London Uxbridge United Kingdom.[c] Communication Systems and Networks (CSN) Research Group Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia.[d] School of Mathematics Anhui Polytechnic University Wuhu China.

This paper deals with the robust [Formula omitted.] state estimation problem for a class of memristive recurrent neural networks with stochastic time-delays. The stochastic time-delays under consideration are governed by a Bernoulli-distributed stochastic sequence. The purpose of the addressed problem is to design the robust state estimator such that the dynamics of the estimation error is exponentially stable in the mean square, and the prescribed [Formula omitted.] performance constraint is met. By utilizing the difference inclusion theory and choosing a proper Lyapunov-Krasovskii functional, the existence condition of the desired estimator is derived. Based on it, the explicit expression of the estimator gain is given in terms of the solution to a linear matrix inequality. Finally, a numerical example is employed to demonstrate the effectiveness and applicability of the proposed estimation approach.

关键词： Discrete time H∞ state estimation memristive neural networks stochastic time-delays

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