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[Retracted] An IoT-Enabled Intelligent and Secure Manufacturing Model Using Blockchain in Hybrid Cloud Communication System

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Security and Communication Networks 2023年第1期2023卷

作者： Sudipto Bhattacharyya Senthil Athithan Souvik Pal Bikramjit Sarkar D. Akila Subrata Chowdhury Karthik Chandran Saravanakumar Gurusamy Department of Computer Science and Engineering Global Institute of Management and Technology Krishnagar Indiagimt-india.in Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Indiakluniversity.in Department of Computer Science and Engineering Sister Nivedita University Kolkata Indiasnuniv.ac.in Sambalpur University Sambalpur Indiasuniv.ac.in Department of Computer Science and Engineering JIS College of Engineering Kalyani Indiajiscollege.ac.in Department of Computer Applications Saveetha College of Liberal Arts and Sciences SIMATS Deemed University Chennai *** Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management Studies Chittoor Andra Pradesh India Department of Robotics and Automation Jyothi Engineering College Thrissur Kerala Indiajecc.ac.in Department of Electrical and Electronics Technology Federal TVET Institute Addis Ababa Ethiopiaftveti.edu.et

The smart manufacturing system can become a linked network with the help of the Internet of Things (IoT). Devices connected to the IoT are susceptible to various attacks and assaults. An effective protection plan is needed to ensure that the billions of IoT nodes are protected from these hazards. The security mechanisms on IoT devices are ineffective due to resource limitations. As a result, the academic community has recently paid attention to the cloud-, fog-, and edge-based IoT systems. A robust cloud provider is in the cloud or fog to perform computationally demanding activities, including safety, data analysis, decision-making process, and monitoring. Hash identities and upgraded Rivest–Shamir–Adleman (RSA) have been used to secure the IoT device’s data. A four-prime integer of 512 bits makes up the proposed security algorithm. A hash signature is used to provide device authentication. An effective clustering method for sensing devices based on the node level, separation from the clusters, remaining energy, and fitness has been presented for long network life. The suggested swarm-based method determines the sensor nodes’ fitness. A deep neural network- (DNN-) based resource scheduling algorithm (DNN-RSM) is meant to reduce the delay and communications overhead for IoT components in the hybrid cloud system. For optimum resource allocation, all queries originating from the cluster head are categorised using DNN based on their storage, processing, and bandwidth needs. The suggested structure delivers better outcomes, particularly regarding energy use, delay, and safety level. The results of the simulation provide credence to the concept that the proposed strategy is superior to the current system. The suggested scheme includes stringent security, decreased energy usage, decreased latency, and efficient resource utilization.

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Highly Efficient THz Waves Using Laser Chaos

Highly Efficient THz Waves Using Laser Chaos

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International Conference on Infrared and Millimeter Waves

作者： Fumiyoshi Kuwashima Mona Jarrahi Semih Cakmakyapan Osamu Morikawa Takuya Shirao Kazuyuki Iwao Kazuyoshi Kurihara Hideaki Kitahara Takeshi Furuya Kenji Wada Yuki Kawakami Takeshi Moriyasu Makoto Nakajima Masahiko Tani Fukui University of Technology 3-6-1 Gakuen Fukui Japan Electrical and Computer Engineering Department University of California Los Angeles 66-147E Engineering IV 420 Westwood Plaza Los Angeles CA USA Chair of Liberal Arts Japan Coast Guard Academy Wakabacho 5-1 Kure Hiroshima Japan School of Education. University. of Fukui 3-9-1 Bunkyo Fukui Japan Research Center for Development of Far-Infrared Region University of Fukui 3-9-1 Bunkyo Fukui Japan Department of Physics and Electronics Osaka Metropolitan University 1-1 Gakuen-cho Naka-ku Sakai Osaka Japan Department of Electronics and Information Engineering National Institute of Technology (KOSEN) Fukui College Geshi-Cho Sabae Fukui Japan Faculty of Engineering University of Fukui 3-9-1 Bunkyo University of Fukui Fukui-city Fukui Japan Institute of Laser engineering Osaka Univ. 2-6 Yamadaoka Suita Osaka Japan

Efficiency of optical beats in a chaotically oscillating laser diode is confirmed comparing that of free running CW laser using a highly efficient plasmonic photomixer. The great potential of chaotically oscillating l...

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High-Gain Metasurface in Polyimide On-Chip Antenna Based on CRLH-TL for Sub-Terahertz Integrated Circuits (vol 10, 4298, 2020)

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SCIENTIFIC REPORTS 2020年第1期10卷 1-9页

作者： Alibakhshikenari, Mohammad Virdee, Bal S. See, Chan H. Abd-Alhameed, Raed A. Falcone, Francisco Limiti, Ernesto Electronic Engineering Department University of Rome "Tor Vergata" Via del Politecnico 1 00133 Rome Italy. alibakhshikenari@ing.uniroma2.it. London Metropolitan University Center for Communications Technology & Mathematics School of Computing & Digital Media London N7 8DB UK. School of Engineering & the Built Environment Edinburgh Napier University 10 Colinton Road Edinburgh EH10 5DT UK. School of Engineering University of Bolton Deane Road Bolton BL3 5AB UK. School of Electrical Engineering & Computer Science University of Bradford Bradford BD7 1DP UK. Electrical and Electronic Engineering Department Public University of Navarre 31006 Pamplona Spain. Electronic Engineering Department University of Rome "Tor Vergata" Via del Politecnico 1 00133 Rome Italy.

This paper presents a novel on-chip antenna using standard CMOS-technology based on metasurface implemented on two-layers polyimide substrates with a thickness of 500 μm. The aluminium ground-plane with thickness of 3 μm is sandwiched between the two-layers. Concentric dielectric-rings are etched in the ground-plane under the radiation patches implemented on the top-layer. The radiation patches comprise concentric metal-rings that are arranged in a 3 × 3 matrix. The antennas are excited by coupling electromagnetic energy through the gaps of the concentric dielectric-rings in the ground-plane using a microstrip feedline created on the bottom polyimide-layer. The open-ended feedline is split in three-branches that are aligned under the radiation elements to couple the maximum energy. In this structure, the concentric metal-rings essentially act as series left-handed capacitances C that extend the effective aperture area of the antenna without affecting its dimensions, and the concentric dielectric rings etched in the ground-plane act as shunt left-handed inductors L, which suppress the surface-waves and reduce the substrates losses that leads to improved bandwidth and radiation properties. The overall structure behaves like a metasurface that is shown to exhibit a very large bandwidth of 0.350-0.385 THz with an average radiation gain and efficiency of 8.15dBi and 65.71%, respectively. It has dimensions of 6 × 6 × 1 mm that makes it suitable for on-chip implementation.

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NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

arXiv

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arXiv 2022年

作者： Guo, Yulan Wang, Longguang Wang, Yingqian Li, Juncheng Gu, Shuhang Timofte, Radu Chen, Liangyu Chu, Xiaojie Yu, Wenqing Jin, Kai Wei, Zeqiang Guo, Sha Yang, Angulia Zhou, Xiuzhuang Guo, Guodong Xiao, Huaxin Yan, Shen Liu, Yuxiang Cai, Hanxiao Dai, Bin Peng, Feiyue Cao, Pu Nie, Yang Yang, Lu Song, Qing Hu, Xiaotao Xu, Jun Xu, Mai Jing, Junpeng Deng, Xin Xing, Qunliang Qiao, Minglang Guan, Zhenyu Guo, Wenlong Peng, Chenxu Chen, Zan Chen, Junyang Li, Hao Chen, Junbin Li, Weijie Yang, Zhijing Li, Gen Li, Aijin Sun, Lei Zhang, Dafeng Liu, Shizhuo Zhang, Jiangtao Qu, Yanyun Yang, Hao-Hsiang Huang, Zhi-Kai Chen, Wei-Ting Chang, Hua-En Kuo, Sy-Yen Liang, Qiaohui Lin, Jianxin Wang, Yijun Yin, Lianying Zhang, Rongju Zhao, Wei Xiao, Peng Xu, Rongjian Zhang, Zhilu Zuo, Wangmeng Guo, Hansheng Gao, Guangwei Zeng, Tieyong Kim, Joohyeok Kim, HyeonA Park, Eunpil Sim, Jae-Young Pi, Huicheng Zhang, Shunli Zhai, Jucai Zeng, Pengcheng Liu, Yang Ma, Chihao Huang, Yulin Chen, Junying National University of Defense Technology China The Chinese University of Hong Kong Hong Kong The University of Sydney Australia University of Würzburg ETH Zürich Switzerland MEGVII Technology China Peking University China Bigo Technology Pte. Ltd Singapore Smart Healthcare Innovation Lab Beijing University of Posts and Telecommunications China School of Artificial Intelligence Beijing University of Posts and Telecommunications China Head of Institute of Deep Learning Baidu Research College of Systems Engineering National University of Defense Technology China College of Liberal Arts and Sciences National University of Defense Technology China Pattern Recognition and Intelligent Vision Lab Beijing University of Posts and Telecommunications China College of Computer Science Nankai University Tianjin China School of Statistics and Data Science Nankai University Tianjin Singapore Beihang University China Zhejiang University of Technology China Guangdong University of Technology China Tencent OVBU SRC-B Xiamen University China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan College of Computer Science and Electronic Engineering Hunan University China Harbin Institude of Technology China The Chinese University of Hong Kong Hong Kong Nanjing University of Posts and Telecommunications China Department of Electrical Engineering Ulsan National Institute of Science and Technology Korea Republic of Graduate School of Artificial Intelligence Ulsan National Institute of Science and Technology Korea Republic of Beijing Jiaotong University China City University of Hong Kong Hong Kong South China University of Technology China

In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. Among those participants, 20 teams successfully submitted results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR. Copyright © 2022, The Authors. All rights reserved.

关键词： Stereo image processing

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Master Equation Emulation and Coherence Preservation with Classical Control of a Superconducting Qubit

arXiv

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arXiv 2022年

作者： Vlachos, Evangelos Zhang, Haimeng Maurya, Vivek Marshall, Jeffrey Albash, Tameem Levenson-Falk, E.M. Department of Physics & Astronomy Dornsife College of Letters Arts & Sciences University of Southern California Los AngelesCA90089 United States Center for Quantum Information Science & Technology University of Southern California Los AngelesCA90089 United States Department of Electrical Engineering Viterbi School of Engineering University of Southern California Los AngelesCA90089 United States NASA Ames Research Center Moffett FieldCA94035 United States Mountain ViewCA94043 United States Department of Electrical and Computer Engineering University of New Mexico AlbuquerqueNM87131 United States Department of Physics and Astronomy Center for Quantum Information and Control University of New Mexico AlbuquerqueNM87131 United States

Open quantum systems are a topic of intense theoretical research. The use of master equations to model a system's evolution subject to an interaction with an external environment is one of the most successful theoretical paradigms. General experimental tools to study different open system realizations have been limited, and so it is highly desirable to develop experimental tools which emulate diverse master equation dynamics and give a way to test open systems theories. In this paper we demonstrate a systematic method for engineering specific system-environment interactions and emulating master equations of a particular form using classical stochastic noise in a superconducting transmon qubit. We also demonstrate that non-Markovian noise can be used as a resource to extend the coherence of a quantum system and counteract the adversarial effects of Markovian environments. © 2022, CC BY.

关键词： Stochastic systems

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Optical Thouless pumping transport and nonlinear switching in a topological low-dimensional discrete nematic liquid crystal array

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Physical Review A 2022年第1期105卷 013513-013513页

作者： Pawel S. Jung Midya Parto Georgios G. Pyrialakos Hadiseh Nasari Katarzyna Rutkowska Marek Trippenbach Mercedeh Khajavikhan Wieslaw Krolikowski Demetrios N. Christodoulides CREOL The College of Optics and Photonics University of Central Florida Orlando Florida 32816 USA Faculty of Physics Warsaw University of Technology Warsaw Poland Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California 90089 USA Faculty of Physics University of Warsaw Warsaw Poland Department of Physics & Astronomy Dornsife College of Letters Arts & Sciences University of Southern California Los Angeles California 90089 USA Laser Physics Centre Research School of Physics Australian National University Canberra ACT 0200 Australia Science Program Texas A&M University at Qatar Doha Qatar

We theoretically investigate a Thouless pumping scheme in the one-dimensional topological Su-Schrieffer-Heeger (SSH) model for single and multiple band-gap systems when implemented in a discrete nematic liquid crystal arrangement. For an electrically controlled SSH waveguide array, we numerically demonstrate edge-to-edge light transport at low power levels. On the other hand, at higher powers, the transport is frustrated by light-induced nonlinear defect states, giving rise to robust all-optical switching.

关键词： Optical solitons Topological insulators Liquid crystals Topological materials

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Measuring and utilizing temporal network dissimilarity

arXiv

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arXiv 2021年

作者： Zhan, Xiu-Xiu Liu, Chuang Wang, Zhipeng Wang, Huijuan Holme, Petter Zhang, Zi-Ke Research Center for Complexity Sciences Hangzhou Normal University Hangzhou311121 China Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Tokyo Tech World Hub Research Initiative Institute of Innovative Research Tokyo Institute of Technology Tokyo226-8503 Japan College of Media and International Culture Zhejiang University Hangzhou310058 China

Quantifying the structural and functional differences of temporal networks is a fundamental and challenging problem in the era of big data. This work proposes a temporal dissimilarity measure for temporal network comparison based on the fastest arrival distance distribution and spectral entropy based Jensen-Shannon divergence. Experimental results on both synthetic and empirical temporal networks show that the proposed measure could discriminate diverse temporal networks with different structures by capturing various topological and temporal properties. Moreover, the proposed measure can discern the functional distinctions and is found effective applications in temporal network classification and spreadability discrimination. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)

arXiv

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arXiv 2021年

作者： Wang, Yingxu Karray, Fakhri Kwong, Sam Plataniotis, Konstantinos N. Leung, Henry Hou, Ming Tunstel, Edward Rudas, Imre J. Trajkovic, Ljiljana Kaynak, Okyay Kacprzyk, Janusz Zhou, Mengchu Smith, Michael H. Chen, Philip Patel, Shushma University of Calgary Canada FIEEE Dept. of Electrical & Computer Engineering University of Waterloo ON Canada FIEEE Department of Computer Science City University of Hong Kong Hong Kong FIEEE Dept. of Electrical & Computer Engineering University of Toronto ON Canada SMIEEE Toronto Research Centre DRDC Canada FIEEE Autonomous & Intelligent Systems Dept. Raytheon Technologies Research Center United States Óbuda University Budapest Hungary FIEEE School of Engineering Science Simon Fraser University BurnabyBC Canada FIEEE Bogazici University Bebek Istanbul Turkey FIEEE Systems Research Institute Polish Academy of Sciences Warsaw Poland FIEEE Dept. of Computer Science New Jersey Institute of Technology NJ United States SMIEEE Furaxa Inc. OrindaCA United States FIEEE School of Computer Science and Engineering South China University of Technology Guangzhou China FBCS Faculty of Computing Engineering and Media De Montfort University LeicesterLE1 9BH United Kingdom

Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitive systems exhibiting autonomous collective intelligence enabled by coherent symbiosis of human-machine interactions in hybrid societies. Basic research in the emerging field of SAS has triggered advanced general AI technologies functioning without human intervention or hybrid symbiotic systems synergizing humans and intelligent machines into coherent cognitive systems. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences. SAS are characterized by the composition of autonomous and symbiotic systems that adopt bio-brain-social-inspired and heterogeneously synergized structures and autonomous behaviors. This paper explores their cognitive and mathematical foundations. The challenge to seamless human-machine interactions in a hybrid environment is addressed. SAS-based collective intelligence is explored in order to augment human capability by autonomous machine intelligence towards the next generation of general AI, autonomous computers, and trustworthy mission-critical intelligent systems. Emerging paradigms and engineering applications of SAS are elaborated via an autonomous knowledge learning system that symbiotically works between humans and cognitive robots. © 2021, CC BY-NC-ND.

关键词： Cognitive systems

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Corrections to “OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations”

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IEEE Access 2025年 13卷 30833-30833页

作者： Ghulam Mustafa Naveed Ahmad Jhamat Zeeshan Arshad Nadia Yousaf Md. Nazmul Abdal Mohammed Maray Dokhyl Alqahtani Mohamad Amir Merhabi Muhammad Abdul Aziz Touseef Ahmad Department of Information Technology University of the Punjab Gujranwala Campus Gujranwala Pakistan Department of Computer Science and Engineering University of Liberal Arts Bangladesh Dhaka Bangladesh College of Computer Science and Information Systems King Khalid University Abha Saudi Arabia Electrical Engineering Department Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Management Marketing and Entrepreneurship Track American University of Beirut Beirut Lebanon Greenwich Business School University of Greenwich London U.K.

Presents corrections to the paper, Corrections to “OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations”.

关键词： Ontologies Electronic commerce

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Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning

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Sustainable Energy, Grids and Networks 2025年 43卷

作者： Thilagasree, Chakkarapani Sumathi Jayakumar, Thippan Ramya, Lakshmanaraj Suvitha, Krishnan Pamucar, Dragan Pedrycz, Witold Kureethara, Joseph Varghese Department of Mathematics Sri Ramakrishna Mission Vidyalaya College of Arts and Science Coimbatore India Department of Mathematics Bharathiar University Coimbatore641 046 India Centre for Nonlinear Systems Chennai Institute of Technology Tamilnadu Chennai India Department of Applied Mathematical Science College of Science and Technology Korea University Sejong Korea Republic of Yuan Ze University College of Engineering Department of Industrial Engineering and Managemente Taoyuan City Taiwan Industrial Engineering Department Faculty of Engineering and Natural Sciences İstinye University İstanbul Turkey Department of Electrical and Computer Engineering University of Alberta EdmontonAB Canada Bangalore India

The selection of electric vehicle (EV) charging station locations is a critical challenge that significantly affects the growth and acceptance of the EV industry. As EVs offer a sustainable solution to fossil fuel depletion and environmental pollution, identifying optimal charging station sites involves dealing with uncertain, inconsistent, and conflicting criteria. To address these challenges, this paper presents an innovative decision-making framework based on Hesitant Bipolar-Valued Fuzzy Sets (HBVFSs), which account for both positive and negative hesitant membership values to better model uncertainty in expert judgments. A novel hybrid Multi-Criteria Decision-Making (MCDM) technique is proposed, combining the Step-wise Weight Assessment Ratio Analysis (SWARA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods to determine robust criteria weights within the HBVFS environment. The Preference Ranking Organization METHod for Enrichment Evaluation II (PROMETHEE-II) is employed for the final site ranking. This integrated approach enables a more comprehensive and reliable evaluation of potential locations by incorporating both qualitative and quantitative factors. The proposed methodology has practical applications in real-world infrastructure planning and supports more resilient decision-making in sustainable transportation networks. The results demonstrate the model's effectiveness and adaptability in addressing the site selection problem under uncertainty. © 2025 Elsevier Ltd

关键词： Hybrid vehicles

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