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7th International Conference on Information, Communication and Networks, ICICN 2019

作者： Zhang, Yanping Xiao, Zhifeng Yang, Jianjun Wraith, Katerina Mosca, Patrick Department of Computer Science Gonzaga University SpokaneWA United States Department of Computer Science and Software Engineering Penn State Erie the Behrend College EriePA United States Department of Computer Science and Information Systems University of North Georgia GA United States Apple Inc. ClaytonCA United States

ISBN: (纸本)9781728104263

Smart supermarkets are a recent innovation that allows customers to have a seamless shopping experience. The Internet of Things (IoT) is a key component of smart supermarkets. Take AmazonGo as an example, it successfully implements cashier-less store checkout. However, many staff members are still required to support the running of the supermarket. Labor is always a big cost. In this paper, we propose a hybrid solution for smart supermarkets based on actuator networks as well as IoT, in order to save labor costs and to serve customers effectively and efficiently. © 2019 IEEE.

关键词： Internet of things

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Corrigendum to “Identification of significant features and data mining techniques in predicting heart disease” [Telematics Informatics 36 (2019) 82–93]

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Telematics and Informatics 2022年 70卷

作者： Mohammad Shafenoor Amin Yin Kia Chiam Kasturi Dewi Varathan Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia BRAC University 66 Mohakhali Dhaka 1212 Bangladesh Department of Information Systems Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia

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Analysis of the integration of robotic automation in production

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AIP Conference Proceedings 2024年第1期3102卷

作者： A. L. Zolkin T. G. Aygumov A. I. Adzhieva A. S. Bityutskiy Yu. N. Koval Computer and Information Sciences Department Povolzhskiy State University of Telecommunications and Informatics Samara 443010 Russia Department of computer engineering software and automated systems Dagestan State Technical University Makhachkala Russia Department of Accounting North Caucasus State Academy Karachay-Cherkess Republic Cherkessk 369001 Russia "Invent Technology" LLP Almaty A10E5P4 Kazakhstan FSBEI HE Siberian Fire and Rescue Academy EMERCOM of Russia Zheleznogorsk Krasnoyarsk Krai 662972 Russia

This scientific paper examines the integration of robotic automation in production and its potential benefits for businesses. The paper presents the results of a study that analyzed the impact of robotic automation on productivity, product quality, and cost savings for three different production lines. The study found that the implementation of robotic automation systems led to significant improvements in productivity and cost savings, as well as a decrease in defect rates. However, the study also highlights important factors that must be considered when deciding whether to integrate robotic automation into production, including the initial investment cost, the need for skilled workers, and the potential impact on workers. The paper concludes that while the integration of robotic automation in production is a complex issue that requires careful consideration, businesses that are able to successfully integrate these systems into their production processes can gain a competitive advantage in the marketplace, leading to increased profitability and long-term sustainability, but proper planning and implementation are key to ensuring success. for implementation.

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Correction to: Feature selection and risk prediction for patients with coronary artery disease using data mining

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Medical & biological engineering & computing 2022年第3期60卷 887页

作者： Nashreen Md Idris Yin Kia Chiam Kasturi Dewi Varathan Wan Azman Wan Ahmad Kok Han Chee Yih Miin Liew Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. yinkia@um.edu.my. Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. Department of Medicine University Malaya Medical Centre 50603 Kuala Lumpur Malaysia. Department of Biomedical Engineering Faculty of Engineering Universiti Malaya 50603 Kuala Lumpur Malaysia.

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AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning

arXiv

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arXiv 2020年

作者： Sánchez Sánchez, Pedro Miguel Huertas Celdrán, Alberto Fernández Maimó, Lorenzo Martínez Pérez, Gregorio Department of Information and Communications Engineering University of Murcia Murcia30100 Spain Telecommunication Software and Systems Group Waterford Institute of Technology WaterfordX91 P20H Ireland Department of Computer Engineering University of Murcia Murcia30100 Spain

The authentication field is evolving towards mechanisms able to keep users continuously authenticated without the necessity of remembering or possessing authentication credentials. While existing continuous authentication systems have demonstrated their suitability for single-device scenarios, the Internet of Things and next generation of mobile networks (5G) are enabling novel multi-device scenarios -such as Smart Offices-where continuous authentication is still an open challenge. The paper at hand, proposes an AI-based, privacy-preserving and multi-device continuous authentication architecture called AuthCODE. A realistic Smart Office scenario with several users, interacting with their mobile devices and personal computer, has been used to create a set of single- and multi-device behavioural datasets and validate AuthCODE. A pool of experiments with machine and deep learning classifiers measured the impact of time in authentication accuracy and improved the results of single-device approaches by considering multi-device behaviour profiles. The f1-score average reached for XGBoost on multidevice profiles based on 1-minute windows was 99.33%, while the best performance achieved for single devices was lower than 97.39%. The inclusion of temporal information in the form of vector sequences classified by a Long-Short Term Memory Network, allowed the identification of additional complex behaviour patterns associated to each user, resulting in an average f1-score of 99.02% on identification of long-term behaviours. Copyright © 2020, The Authors. All rights reserved.

关键词： Authentication

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Factor Graph Weight Particles aided Distributed Underwater Cooperative Positioning Algorithm

Research Square

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Research Square 2021年

作者： Zhang, Lingling Yu, Baoguo Tang, Chengkai Zhang, Yi Song, Houbing School of Marine Science and Technology Northwestern Polytechnical University Xi’an710072 China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China School of Electronics and Information Northwestern Polytechnical University Xi’an710072 China Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University FL32114 United States

The growing scale of marine exploration requires high-resolution underwater localization, which necessitates cooperation among underwater network nodes, considering the channel complexity and power efficiency. In this paper, we proposed factor graph weight particles aided distributed underwater nodes cooperative positioning algorithm (WP-DUCP). It capitalized on the factor graph and sum-product algorithm to decompose the global optimization to the product of several local optimization functions. Combined with the Gaussian parameters to construct the weighted particles and to realize the belief transfer, it shows low complexity and high efficiency, suitable to the energy-restricted and communication distance-limited underwater networks. In terms of convergence, localization resolution, and computation complexity, we conducted the simulation and real-test with comparison to the existing co-localization methods. The results verified a higher resolution of the proposed method with no extra computation burden. © 2021, CC BY.

关键词： Global optimization

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Design of a Cryptographically Secure Pseudo Random Number Generator with Grammatical Evolution

Research Square

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Research Square 2021年

作者： Ryan, Conor Kshirsagar, Meghana Vaidya, Gauri Cunningham, Andrew Sivaraman, R. Biocomputing and Developmental Systems Group Lero The Science Foundation Ireland Research Centre for Software Computer Science and Information System Department University of Limerick LimerickV94 T9PX Ireland Intel Research and Development Ireland Limited LeixlipW23 CX68 Ireland Department of Electronics Communication Engineering School of Electrical and Electronics Engineering Shanmugha Arts Science Technology and Research Academy Deemed to be University Thanjavur613401 India

This work investigates the potential of evolving an initial seed with Grammatical Evolution (GE), for the construction of cryptographically secure (CS) pseudo-random number generator (PRNG). We harness the flexibility of GE as an entropy source for returning initial seeds. The initial seeds returned by GE demonstrate an average entropy value of 7.920261600000001 which is extremely close to the ideal value of 8. The initial seed combined with our proposed approach, control_flow_incrementor, is used to construct both, GE-PRNG and GE-CSPRNG. The random numbers generated with CSPRNG meet the prescribed National Institute of Standards and Technology (NIST) SP800-22 requirements. Monte Carlo simulations established the efficacy of the PRNG. The experimental setup was designed to estimate the value for pi, in which 100,000,000 random numbers were generated by our system and which resulted in returning the value of pi to 3.146564000, with a precision up to six decimal digits. The random numbers by GE-PRNG were compared against those generated by Python’s rand() function for sampling. The sampling results, when measured for accuracy against twenty-nine real world regression datasets, showed that GE-PRNG had less error when compared to Python’s rand() against the ground truths in seventeen of those, while there was no discernible difference in the remaining twelve. © 2021, CC BY.

关键词： Monte Carlo methods

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Timed data plane update in data center network 25

Timed data plane update in data center network

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25th IEEE International Conference on Parallel and Distributed systems, ICPADS 2019

作者： Liu, Yuxiang Gao, Xiaofeng Zheng, Jiaqi Chen, Guihai Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (纸本)9781728125831

software-Defined Networks make it more principled and formal to operate and verify networks, which decouple the control plane and the data plane and introduce flexibility and programmability into the network. The SDN control plane needs to frequently update the data plane. However, the decoupled control and data planes face new challenges. The network is still an asynchronous distributed system in rule updates. If the update operations are not carefully scheduled, it may result in blackhole, congestions, and violate the consistency properties. Motivated by the tightly synchronized SDNs, we proposed TIDERS Algorithm for consistent network updates in 'timed SDNs'-where one node update can be scheduled at specific time. In TIDERS, we use synchronized time technique to achieve fast network updates while guaranteeing consistency properties. We focus on congestion-free in scheduling the update operations. To achieve this, we first set up a flow-based dependency graph and transform it into switch-operation level dependency graph. Based on operation dependency graph, we generate an update schedule and gradually optimize it to finally get a fast update schedule. After that, we conduct a series of simulations comparing our approach with several other methods to evaluate it. © 2019 IEEE.

关键词： Flow graphs

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Not all fabrics are created equal: Exploring eFPGA parameters for IP redaction

arXiv

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arXiv 2021年

作者： Bhandari, Jitendra Khader Thalakkattu Moosa, Abdul Tan, Benjamin Pilato, Christian Gore, Ganesh Tang, Xifan Temple, Scott Gaillardon, Pierre-Emmanuel Karri, Ramesh Center for Cybersecurity New York University New York CityNY11201 United States Department of Electrical and Software Engineering University of Calgary CalgaryABT2N 1N4 Canada Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milano20133 Italy Laboratory for NanoIntegrated Systems Electrical and Computer Engineering Department University of Utah Salt Lake CityUT84112 United States

Semiconductor design houses rely on third-party foundries to manufacture their integrated circuits (IC). While this trend allows them to tackle fabrication costs, it introduces security concerns as external (and potentially malicious) parties can access critical parts of the designs and steal or modify the Intellectual Property (IP). Embedded FPGA (eFPGA) redaction is a promising technique to protect critical IPs of an ASIC by redacting (i.e., removing) critical parts and mapping them onto a custom reconfigurable fabric. Only trusted parties will receive the correct bitstream to restore the redacted functionality. While previous studies imply that using an eFPGA is a sufficient condition to provide security against IP threats like reverse-engineering, whether this truly holds for all eFPGA architectures is unclear, thus motivating the study in this paper. We examine the security of eFPGA fabrics generated by varying different FPGA design parameters. We characterize the power, performance, and area (PPA) characteristics and evaluate each fabric’s resistance to SAT-based bitstream recovery. Our results encourage designers to work with custom eFPGA fabrics rather than off-the-shelf commercial FPGAs and reveals that only considering a redaction fabric’s bitstream size is inadequate for gauging security. Copyright © 2021, The Authors. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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On PID control for synchronization of complex dynamical network with delayed nodes

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Science China(Technological Sciences) 2019年第8期62卷 1412-1422页

作者： GU HaiBo Lv JinHu LIN ZongLi Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment and Beijing Advanced Innovation Center for Big Data and Brain Machine Intelligence Beihang University Beijing 100083 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 USA

Over the past two decades, synchronization, as an interesting collective behavior of complex dynamical networks, has been attracting much attention. To reveal and analyze the inherent mechanism of synchronization in complex dynamical networks with time delays in nodes, this paper attempts to use PD and PI control protocols to achieve synchronization. Based on a classical network model, we investigate the PD and PI control for synchronization of complex dynamical networks with delayed nodes and obtain some sufficient conditions. By using Lyapunov functions and appropriate state transformations, we prove that global synchronization can be achieved via the above control protocols. Finally, some simulation examples are illustrated to validate the effectiveness of the proposed theoretical results.

关键词： synchronization PID control complex dynamical network networked control system delayed node

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