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Retraction notice to “Biometric authentication integrated with wireless communication malicious activity detection in a cyber physical system-based Fintech banking” [Optik 272 (2023) 170294]

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Optik 2023年 288卷

作者： Almuhannad Sulaiman Alorfi Saud Yonbawi Sultan Alahmari Abdullaev Abror Bozorboevich Mahendran Arumugam Pham Quang Huy Department of Information System Faculty of Computing and Information Technology King Abdulaziz University City Rabigh Saudi Arabia Department of Software Engineering College of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia King Abdul Aziz City for Science and Technology Riyadh Saudi Arabia The Department of Acconting Economic Analysis and Audit Tashkent Institute of Finance Tashkent Uzbekistan Center for Transdisciplinary Research Saveetha Dental College Saveetha institute of Medical and Technical Science Chennai India University of Economics Ho Chi Minh City (UEH) Viet Nam

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Corrigendum to “IoT-Based Healthcare Support system for Alzheimer’s Patients”

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Wireless Communications and Mobile Computing 2021年第1期2021卷

作者： Rozita Jamili Oskouei Zahra MousaviLou Zohreh Bakhtiari Khuda Bux Jalbani Department of Computer Science and Information Technology Mahdishahr Branch Islamic Azad University Mahdishahr Iranazad.ac.ir Vali-e-Asr Hospital School of Medicine Zanjan University of Medical Science Zanjan Iranzums.ac.ir Riphah Institute of System Engineering Riphah International University Islamabad Pakistanriphah.edu.pk

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Pixel image steganography using EOF method and modular multiplication block cipher algorithm

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IOP Conference Series: Materials Science and engineering 2018年第1期420卷

作者： Robbi Rahim Darmawan Napitupulu Heri Nurdiyanto Usti Fatimah Sari Firahmi Rizky Dicky Nofriansyah Oris Krianto Sulaiman Abdurrozzaq Hasibuan R Ratnadewi Mohamad Ihwani School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Jakarta Indonesia Department of Informatics STMIK Dharma Wacana Metro Lampung Indonesia Department of Computer System STMIK Triguna Dharma Medan Indonesia Department of Information System STMIK Triguna Dharma Medan Indonesia Department of Informatics Engineering Universitas Islam Sumatera Utara Medan Indonesia Department of Industry Engineering Universitas Islam Sumatera Utara Medan Electrical Engineering Universitas Kristen Maranatha Bandung Indonesia Universitas Negeri Medan Medan Indonesia

This study aims to hide data or information on pixel image using EOF method and to improve the security of hidden data than combine with cryptography algorithm Modular Multiplication Block Cipher algorithm for the encryption process. The image file used as the test sample consists of 3 types of image types (JPG, BMP, PNG), this file type is the most widely used by users with different width and height as well as various file sizes. The results of this study prove that the data could embed in pixel image using EOF method and the file size of carrier will increase its capacity as byte of embedded text.

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THE QUANTIFICATION OF INTEROPERABILITY

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NAVAL engineerS JOURNAL 1989年第3期101卷 251-256页

作者： MENSH, DR KITE, RS DARBY, PH Dennis Roy Mensh:is currently the task leader Interoperability Project with the MITRE Corporation in McLean Va. He received his B.S. and M.S. degrees in applied physics from Loyola College in Baltimore Md. and the American University in Washington D. C. He also has completed his course work towards his Ph.D. degree in computer science specializing in the fields of systems analysis and computer simulation. He has been employed by the Naval Surface Warfare Center White Oak Laboratory Silver Spring Md. for 20 years in the areas of weapon system analysis and the development of weapon systems simulations. Since 1978 he has been involved in the development of tools and methodologies that can be applied to the solution of shipboard combat system/battle force system architecture and engineering problems. Mr. Mensh is a member of ASNE MORS IEEE U.S. Naval Institute MAA and the Sigma Xi Research Society. Robert S. Kite:is a systems engineer with the Naval Warfare Systems Engineering Department of the MITRE Corporation in McLean Va. Mr. Kite received his B.S. degree in electronic engineering from The Johns Hopkins University in Baltimore Md. Mr. Kite retired from the Federal Communications Commission in 1979 and served a project manager of the J-12 Frequency Management Support Project for the Illinois Institute of Technology Research Institute in Annapolis Md. before joining MITRE. Mr. Kite is presently a member of ASNE the Military Operations Research Society and an associate member of Sigma Xi. Paul H. Darby:has worked in the field of interoperability both in the development of interoperability concepts and systems since joining the Department of the Navy in 1967. He was the Navy's program manager for the WestPacNorth TACS/ TADS and IFFN systems. He is currently head of the Interoperability Branch Warfare Systems Engineering Office Space and Naval Warfare Systems Command. He holds a B.S. from the U.S. Naval Academy.

JCS Pub 1 defines interoperability as “The ability of systems, units or forces to provide services to and accept services from other systems, units or forces and to use the services so exchanged to enable them to operate effectively together.” With JCS Pub 1 as a foundation, interoperability of systems, units or forces can be factored into a set of components that can quantify interoperability. These components are: media, languages, standards, requirements, environment, procedures, and human factors. The concept described in this paper uses these components as an analysis tool to enable specific detailed analyses of the interoperability of BFC3 systems, units, or forces for the purpose of uncovering and resolving interoperability issues and problems in the U.S. Navy, Joint, and Allied arenas. Also, as a management tool, the components can help determine potential interoperability characteristics of future U.S. Navy BFC3 systems for compliance with battle force systems architectures. The approach selected for the quantification of interoperability was the development of a set of measures of performance (MOPs) and measures of effectiveness (MOEs). The MOPs/MOEs were integrated with a candidate set of components, which were used to partition the totality of interoperability into measurable entities. The methodology described employs basic truth table theory in conjunction with logic equations to evaluate the interoperability components in terms of MOPs that were aggregated to MOEs. It is believed that this concept, although elementary and based on fundamental principles, represents an operationally significant approach rather than a theoretical approach to the quantification of interoperability. The vehicle used as a means to measure the MOPs and MOEs was the Research Evaluation and systems Analysis (RESA) computer modeling and simulation capability at the Naval Ocean systems Center (NOSC), San Diego, Calif. Data for the measurements were collected during a Tactical I

关键词： Military engineering

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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Emergency Event Matching using Hierarchical Blocking Method

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Chang Wen Yu Liu College of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is finding out the entities referring to the same things in the real world and also the key point in the extending process. To enrich the emergency knowledge base (E-SKB) we constructed before, we need to filter out the news from several web pages and find the same news to avoid data redundancy. In this paper, we proposed a hierarchy blocking method to reduce the times of comparisons and narrow down the scope by extracting the news properties as the blocking keys. The method transforms the event matching problem into a clustering problem. Experimental results show that the proposed method is superior to the existing text clustering algorithm with high precision and less comparison times.

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Linked Data Crowdsourcing Quality Assessment based on Domain Professionalism

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Lu Yang Li Huang Zhenzhen Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the rapid development of Internet technology, crowdsourcing, as a flexible, effective and low-cost problem-solving method, has begun to receive more and more attention. The use of crowdsourcing to evaluate the quality of linked data has also become a research hotspot. This paper proposes the concept of Domain Specialization Test (DST), which uses domain professional testing tasks DSTs to evaluate the professionalism of workers, and combines the idea of Mini-batch Gradient Descent (MBGD) to improve the EM algorithm, and the MBEM algorithm is proposed to achieve efficient and accurate evaluation of task results. The experimental results show that the proposed method can screen out the appropriate workers for the linked data crowdsourcing task and improve the accuracy and iteration efficiency of the results.

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AN APPROACH TO AN EVOLUTIONARY IMPLEMENTATION OF SHIPBOARD DISTRIBUTED-PROCESSING

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NAVAL engineerS JOURNAL 1982年第2期94卷 39-49页

作者： FASTRING, RA WAPNER, M Richard A. Fastring:graduated from Tulane University with a B.S.E.E. and did graduate work in Systems Engineering and Operations Research at the University of Pennsylvania. He joined RCA's Surface Communications Systems Engineering Staff in 1959 where he contributed to a number of Navy and Air Force communication system programs. Since 1971 he has been with SEMCOR Inc. where he has been involved with the Navy's Shipboard Data Multiplex System (SDMS) and related data transfer programs. Mr. Fastring has served on information exchange standardization committees such as the A2K Avionics Multiplexing Committee of the Society of Automotive Engineers and Subgroup 6 (Compatibility of Naval Data Handling Equipments) of the NATO Industrial Advisory Group. Martin Wapner:graduated from the City College of New York from which he received both his Bachelor and Masters degrees in Electrical Engineering. He joined the Naval Applied Science Laboratory in 1961 where he served as Project Engineer for Ship Inertial Navigation Systems (SINS) and related equipments. Since 1967 he has been employed by the Naval Sea Systems Command initially as Navigation and Interior Communications Programs Manager in the Research Directorate and currently as Director Combat Systems Engineering Research and Technology Office in the Combat Systems Directorate. He has been responsible for the development of the Shipboard Data Multiplex System (SDMS) the Electrically Suspended Gyro Navigator (ESGN) and the Doppler Sonar Velocity Log (DSVL) and directs other technology programs in the area of Command and Control and related command support functions. He has directed programs to evaluate foreign data bus and distributed processor technology for potential application to U.S. requirements and is active in a number of U.S. government and foreign government information exchange programs. He has authored numerous technical papers and is a Senior Member of the Institute of Electrical and Electronic Engineers.

Traditional thinking regarding the data transfer vehicle needed to interconnect elements of a distributed processing combat system generally envisions one or more data busses. This paper presents the somewhat unorthodox viewpoint that a distributed switching network is a better transition vehicle for moving from today's federated architectures to the distributed-processing architectures of the future. The structure and operation of a distributed switching network concept, called Standard information Transfer Architecture for Combat systems (SITACS), is briefly described. Simulation results are presented which show throughput and timing values considerably better than that achievable by data bus systems.

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Photonic signal processor based on a Kerr microcomb for real-time video image processing

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Communications engineering 2023年第1期2卷 94页

作者： Tan, Mengxi Xu, Xingyuan Boes, Andreas Corcoran, Bill Nguyen, Thach G. Chu, Sai T. Little, Brent E. Morandotti, Roberto Wu, Jiayang Mitchell, Arnan Moss, David J. School of Electronic and Information Engineering Beihang University Beijing 100191 China Optical Sciences Centre Swinburne University of Technology Hawthorn 3122 VIC Australia School of Engineering RMIT University Melbourne 3001 VIC Australia State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China Institute for Photonics and Advanced Sensing (IPAS) and School of Electrical and Electronic Engineering University of Adelaide Adelaide 5005 SA Australia Department of Electrical and Computer System Engineering Monash University Clayton 3168 VIC Australia Department of Physics and Material Science City University of Hong Kong Tat Chee Avenue Hong Kong Xi’an Institute of Optics and Precision Mechanics of CAS Xi’an China INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet Varennes Québec J3X 1S2 Canada

Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to video image processing. Image processing is particularly important for observational astronomy, medical diagnosis, autonomous driving, big data and artificial intelligence. For these applications, signal processing traditionally has mainly been performed electronically. However these, as well as new applications, particularly those involving real time video image processing, are creating unprecedented demand for ultrahigh performance, including high bandwidth and reduced energy consumption. Here, we demonstrate a photonic signal processor operating at 17 Terabits/s and use it to process video image signals in real-time. The system processes 400,000 video signals concurrently, performing 34 functions simultaneously that are key to object edge detection, edge enhancement and motion blur. As compared with spatial-light devices used for image processing, our system is not only ultra-high speed but highly reconfigurable and programable, able to perform many different functions without any change to the physical hardware. Our approach is based on an integrated Kerr soliton crystal microcomb, and opens up new avenues for ultrafast robotic vision and machine learning. © The Author(s) 2023.

关键词： Frequency combs Solitons

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Corrigendum to “Optimal design methods for a digital human-computer interface based on human reliability in a nuclear power plant: Part 2: The optimization design method for component quantity” [Ann. Nucl. Energy 106 (2017) 247–255]

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Annals of Nuclear Energy 2018年 111卷 715-715页

作者： Jianjun Jiang Li Zhang Yiqun Wang Tian Xie Daqing Wu Min Li Yuyuan Peng Jie Peng Mengjia Zhang Peiyao Li Congmin Ma Xing wu Human Factors Institute School of Management University of South China Hengyang Hunan Province 421001 China School of Safety and Environment Engineering Hunan Institute of Technology Hengyang Hunan Province 421002 China School of Computer Science and Technology University of South China Hengyang Hunan Province 421001 China School of Computer Engineering Guangzhou College of South China University of Technology Guangzhou GuangDong Province 510830 China Information Science College GuangDong University of Finance & Economics Guangzhou Guangdong Province 510320 China Grade 15 of E-commerce The Department of Information Management and Information System The School of Economics & Management University of South China HengYang HuNan Province 421001 China Grade 14 The Department of Economics The School of Economics & Management University of South China HengYang HuNan Province 421001 China

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