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20th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2022

作者： Siket, Mate Denes-Fazakas, Lehel Kovacs, Levente Eigner, Gyorgy Physiological Controls Research Center Obuda University Hungary Biomatics and Applied Artificial Intelligence Institute John von Neumann Faculty of Informatics Obuda University Hungary Applied Informatics and Applied Mathematics Doctoral School Obuda University Becsi street 96/B. BudapestH-1034 Hungary Institute for Computer Science and Control Kende utca 13-17 BudapestH-1111 Hungary

ISBN: (纸本)9781665489881

General-purpose computing on graphics processing units (GPU) has gained more attention over the last years in scientific computing. Tasks like population-based optimizations are widely used and can be efficiently parallelized. While Python is considered generally 'slow', it is one of the most popular programming languages. In this study, we evaluate the acceleration possibilities of a parameter estimation problem based on optimization utilizing the Numba library on the central processing unit (CPU) and on the GPU. Runtimes indicate that Numba achieves high runtime improvements with little modifications in the syntax. On the other hand, utilization of the GPU is beneficial when high parallelization can be guaranteed and using cloud computing platforms. © 2022 IEEE.

关键词： Graphics processing unit

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Enabling IoT Continuous Connectivity in Smart Spaces

Enabling IoT Continuous Connectivity in Smart Spaces

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International Symposium on Parallel and Distributed Computing

作者： Andreas Andreou Constandinos X. Mavromoustakis Jordi Mongay Batalla Ciprian Dobre Evangelos Markakis George Mastorakis Departement of Computer Science University of Nicosia and University of Nicosia Research Foundation Nicosia Cyprus Warsaw University of Technology Warsaw Poland Automatic Control and Computers University Politehnica of Bucharest National Institute for Research and Development in Informatics Bucharest Romania Department of Electrical and Computer Engineering Hellenic Mediterranean University Heraklion Greece Department of Management Science and Technology Hellenic Mediterranean University Agios Nikolaos Greece

Smart spaces are a rapidly emerging concept in technology. They result from the convergence of various novel technologies, such as the Internet of Things, Machine Learning and Artificial Intelligence, which allow for greater levels of automation and control within physical environments. The devices which are connected to the IoT network are equipped with sensors to acquire and exchange data. As a result, the IoT has transformed how we live, work, and play. However, the deployment in smart spaces is not always the best due to the issues arising from network node positioning. Therefore, we are investigating solutions to this problem with a novel approach which utilises Voronoi diagrams in conjunction with the algorithmic genetic technique. First, the initial positions of the IoT nodes will be determined by simulating a homogeneous Poisson point process in the smart space environment. Then, after dividing the area into the Voronoi cells, the genetic algorithm will optimise the position towards achieving full network coverage within the smart space. Experimental results prove the 100% network coverage within the specified area.

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A High-order Modulation (64-QAM) Broadband THz Communication System over 100 Gbps 4

A High-order Modulation (64-QAM) Broadband THz Communication...

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4th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2021

作者： Lai, Zhengrong Li, Chao Li, Yongjun Lai, Xinyan Li, Jianqiang Guan, Ke Wireless Research Center Guangdong Communications and Networks Institute Guangzhou China Aerospace Information Research Institute Chinese Academy of Sciences Beijing China Department of Computer Science RWTH Aachen Aachen Germany State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China

ISBN: (纸本)9781665432030

The paper presents the prototyping of a high-order modulation (64-QAM) terahertz (THz) communication system over 100 Gbps. To begin with, the channel capacity and spectrum efficiency of a THz link are analyzed based on Shannon’s theorem and the state of the art technology. Then, a Monolithic Microwave Integrated Circuit (MMIC) frequency multiplier and a secondary harmonics mixer are designed and manufactured. Finally, we prototype the THz communication system and realize the transmission data rate over 100 Gbps with 64-QAM in lab. The test results in our study paves the way towards the fulfillment of the broadband and large capacity required by future sixth-generation (6G) mobile communication systems. ©2021 IEEE

关键词： Mixers (machinery)

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Optimized Ensemble Algorithm for Predicting Metamaterial Antenna Parameters

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computers, Materials & Continua 2022年第6期71卷 4989-5003页

作者： El-Sayed M.El-kenawy Abdelhameed Ibrahim Seyedali Mirjalili Yu-Dong Zhang Shaima Elnazer Rokaia M.Zaki Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Centre for Artificial Intelligence Research and Optimization Torrens University AustraliaFortitude ValleyQLD 4006Australia Yonsei Frontier Lab Yonsei UniversitySeoul03722Korea School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Nile Higher Institute for Engineering and Technology MansouraEgypt Computer and Information Technology College Taif UniversityTaifSaudi Arabia Higher Institute of Engineering and Technology Kafrelsheikh Department of Electrical Engineering Shoubra Faculty of EngineeringBenha UniversityEgypt

Metamaterial Antenna is a subclass of antennas that makes use of metamaterial to improve *** antennas can overcome the bandwidth constraint associated with tiny *** learning is receiving a lot of interest in optimizing solutions in a variety of *** learning methods are already a significant component of ongoing research and are anticipated to play a critical role in today’s *** accuracy of the forecast is mostly determined by the model *** purpose of this article is to provide an optimal ensemble model for predicting the bandwidth and gain of the Metamaterial *** Vector Machines(SVM),Random Forest,K-Neighbors Regressor,and Decision Tree Regressor were utilized as the basic *** Adaptive Dynamic Polar Rose Guided Whale Optimization method,named AD-PRS-Guided WOA,was used to pick the optimal features from the *** suggested model is compared to models based on five variables and to the average ensemble *** findings indicate that the presented model using Random Forest results in a Root Mean Squared Error(RMSE)of(0.0102)for bandwidth and RMSE of(0.0891)for *** is superior to other models and can accurately predict antenna bandwidth and gain.

关键词： Metamaterial antenna machine learning ensemble model feature selection guided whale optimization support vector machines

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Reconfigurable Parfocal Zoom Metalens

Reconfigurable Parfocal Zoom Metalens

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CLEO: science and Innovations, S and I 2022

作者： Shalaginov, Mikhail Yang, Fan An, Sensong Lin, Hung I. Stoll, Katherine Kang, Myungkoo Agarwal, Anuradha Richardson, Kathleen Rivero-Baleine, Clara Zhang, Hualiang Hu, Juejun Gu, Tian Department of Materials Science & Engineering Massachusetts Institute of Technology CambridgeMA United States The College of Optics & Photonics Department of Materials Science and Engineering University of Central Florida OrlandoFL United States Missiles and Fire Control Lockheed Martin Corporation OrlandoFL United States Department of Electrical & Computer Engineering University of Massachusetts Lowell LowellMA United States Materials Research Laboratory Massachusetts Institute of Technology CambridgeMA United States

We designed and experimentally realized a non-mechanically tuned metalens capable of performing x 10 zoom while maintaining focus. The metalens consists of two dielectric metasurfaces made of low-loss optical phase-ch... 详细信息

ISBN: (纸本)9781557528209

关键词： Phase change materials

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A Machine Learning Approach for EEG Brain Signal Classification 6

A Machine Learning Approach for EEG Brain Signal Classificat...

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6th International Scientific Conference on Information, control, and Communication Technologies, ICCT 2022

作者： Trufanov, Nikita N Chernenky, Ivan M Dolmatova, Maria A Churikov, Dmitry V Egorov, Dobroslav P Kravchenko, Oleg V Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences Moscow Russia Sechenov University Moscow Russia Technical University Bauman Moscow State Moscow Russia Kotel'nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences Moscow Russia Federal Research Center Computer Science and Control of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9781665493673

ISBN: (纸本)9781665493673

The analysis of signals from electroencephalography is an important aid for the patient condition diagnostics. A thorough analysis of the EEG allows you to obtain valuable information and improve understanding of the mechanisms that cause various kinds of disorders, such as epilepsy. In present paper, the construction of an EEG signal classifier based on an artificial neural network is considered. This article compares various types of classifiers, including those based on a complex-valued neural network. An open database is utilized as source data. Since brain signals have non-stationary nature, preprocessing is carried out using the theory of wavelet analysis. A discrete-wavelet transform is performed, the coefficients of which are fed to the input of the neural network. A various types of the wavelet families, including wavelet atomic functions are applied. Some wavelet atomic functions have promising spectral characteristics that motivates to apply such a functions in biomedical problems as well. © 2022 IEEE.

关键词： Electroencephalography

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Stochastic Lists of Multiple Resources 1

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5th International Conference on Stochastic Methods, ICSM-5 2020

作者： Samouylov, Konstantin Naumov, Valeriy Miklukho-Maklaya St. 6 Moscow117198 Russia Institute of Informatics Problems Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Vavilov Street 44-2 Moscow119333 Russia Service Innovation Research Institute Annankatu 8A Helsinki00120 Finland

ISBN: (数字)9783030832667

ISBN: (纸本)9783030832650

In this article, we introduce the concept of stochastic lists and pseudo-lists and apply them to analyze a loss system with Poisson arrivals, exponential service times, and multiple positive and negative resources. For this system, we prove that the total volumes of resources in the stochastic list and pseudo-list have the same stationary distribution. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Stochastic systems

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Multi-operation blank localization with hybrid point cloud and feature-based representation

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Procedia CIRP 2023年 120卷 756-761页

作者： Tamás Cserteg András Kovács József Váncza EPIC Centre of Excellence Institute for Computer Science and Control (SZTAKI) Eötvös Loránd Research Network Budapest H-1111 Hungary Doctoral School of Informatics ELTE Eötvös Loránd University Budapest H-1117 Hungary Department of Manufacturing Science and Technology Budapest University of Technology and Economics Budapest H-1111 Hungary

Sustainability objectives, including the endeavor to reduce waste, energy consumption and machining effort gave rise to the near net shape (NNS) machining concept, which requires the initial rough blank to be as close to the final machined product as possible. Nevertheless, the opportunity of savings in material, energy and effort come with a risk of manufacturing scrap even in case of a very small geometrical error of the blank. This issue is addressed by blank localization, i.e., the act of placing the final machined product in the geometry of the rough blank. Multi-operation blank localization was proposed recently to exploit tolerances in the product design to compensate potential geometrical errors of the blank. It places each feature group, machined together in the same operation, separately in the blank. When tolerances connecting different feature groups allow, these feature groups can be moved slightly according to the measured actual blank geometry. This paper proposes a novel multi-operation blank localization approach that models the rough blank as a free-form geometry, capturing all possible geometrical errors, whereas represents the final product using a feature-based model. The problem of blank localization for minimizing tolerance errors while leaving sufficient allowance is formulated and solved as a convex quadratically constrained quadratic program (QCQP). In a case study from the automotive industry, it is shown that the proposed multi-operation approach outperforms earlier methods that handle the product as a single solid geometry.

关键词： blank localization free-form machining point clouds quadratic programming optimization

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The Forerunner UAV Concept for the Increased Safety of First Responders 7

The Forerunner UAV Concept for the Increased Safety of First...

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7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021

作者： Nagy, Mihály Bauer, Péter Hiba, Antal Gáti, Attila Drotár, István Lattes, Balázs Kisari, Ádám Research Center of Vehicle Industry Széchenyi István University Egyetem tér 1 Gyor Hungary Institute for Computer Science and Control ELKH Budapest Hungary National Media and Infocommunications Authority Budapest Hungary

ISBN: (纸本)9789897585135

This paper proposes a novel Forerunner UAV concept to increase the safety of first responders by monitoring the road in front of their emergency ground vehicle (EGV) and notifying the driver about any violation of his/her right of way or approaching danger. The developments are conducted in an R&D project in Hungary. The proposed UAV for the planned urban demonstration is a hexacopter with triple redundant architecture applying a gimbaled camera to monitor the surroundings. In the cooperative control of the EGV and UAV the UAV must fly in front of the EGV which is possible through wireless communication of route data and velocity. Besides the real system a computer simulation representation is also applied including CARLA and Matlab to make exhaustive tests of the system capabilities. Increased attention is devoted to the possible wireless communication solutions as these are safety critical parts of the system. The article ends with the lists of planned simulation and real test scenarios to evaluate the system. Copyright © 2021 by SCITEPRESS – science and Technology Publications, Lda. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Graph Attention Network for Word Embeddings 7th

Graph Attention Network for Word Embeddings

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7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Long, Yunfei Xu, Huosheng Qi, Pengyuan Zhang, Liguo Li, Jun College of Computer Science and Technology Harbin Engineering University Harbin150001 China Wuhan Digital Engineering Institute Wuhan430000 China China Industrial Control Systems Cyber Emergency Research Team Beijing100000 China

ISBN: (纸本)9783030786113

The word embeddings approaches have attracted extensive attention and widely used in many natural language processing (NLP) tasks. Relatedness between words can be reflected in vector space by word embeddings. However, the current word embeddings approaches commonly do not explore the context-specific information of word deeply in the overall corpus. In this paper, we propose to use graph attention network for word embeddings. We build a large single word graph for a corpus based on word order, then learn a word embeddings graph attention network (WEGAT) for the corpus. Our WEGAT is initialized with one-hot representation for word. We propose to use masked language model (MLM) as supervised task. In addition, through the text classification experiment, it is showed that accuracy of the word embeddings represented by WEGAT is higher than the current method for the same classification method. © 2021, Springer Nature Switzerland AG.

关键词： Embeddings

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