Emerging Trends in Intelligent and Interactive Systems and Applications: Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) PDF
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Advances in Intelligent Systems and Computing 1304 Madjid Tavana Nadia Nedjah Reda Alhajj Editors Emerging Trends in Intelligent and Interactive Systems and Applications Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) Advances in Intelligent Systems and Computing Volume 1304 Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Nikhil R. Pal, Indian Statistical Institute, Kolkata, India Rafael Bello Perez, Faculty of Mathematics, Physics and Computing, Universidad Central de Las Villas, Santa Clara, Cuba Emilio S. Corchado, University of Salamanca, Salamanca, Spain Hani Hagras, School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK László T. Kóczy, Department of Automation, Széchenyi István University, Gyor, Hungary Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA Chin-Teng Lin, Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan Jie Lu, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia Patricia Melin, Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico NadiaNedjah,DepartmentofElectronicsEngineering,UniversityofRiodeJaneiro, Rio de Janeiro, Brazil Ngoc Thanh Nguyen , Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland Jun Wang, Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong Theseries“AdvancesinIntelligentSystemsandComputing”containspublications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing.Virtuallyalldisciplinessuchasengineering,naturalsciences,computer and information science, ICT, economics, business, e-commerce, environment, healthcare,lifesciencearecovered.Thelistoftopicsspansalltheareasofmodern intelligentsystemsandcomputingsuchas:computationalintelligence,softcomput- ingincludingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusion of these paradigms, social intelligence, ambient intelligence, computational neuro- science, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning para- digms,machineethics,intelligentdataanalysis,knowledgemanagement,intelligent agents, intelligent decision making and support, intelligent network security, trust management,interactiveentertainment,Webintelligenceandmultimedia. The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. Indexed by SCOPUS, DBLP, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago. All books published in the series are submitted for consideration in Web of Science. More information about this series at http://www.springer.com/series/11156 Madjid Tavana Nadia Nedjah (cid:129) (cid:129) Reda Alhajj Editors Emerging Trends in Intelligent and Interactive Systems and Applications Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) 123 Editors Madjid Tavana Nadia Nedjah TheBusiness SystemsandAnalytics Departamento deEngenharia Eletrônica e Department Telecomunicações,FaculdadedeEngenharia LaSalle University Universidade doEstadodoRiodeJaneiro Philadelphia, PA,USA RiodeJaneiro, Brazil Reda Alhajj Department ofComputer Science University of Calgary Calgary, AB,Canada ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems andComputing ISBN978-3-030-63783-5 ISBN978-3-030-63784-2 (eBook) https://doi.org/10.1007/978-3-030-63784-2 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicense toSpringerNatureSwitzerlandAG2021 Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether thewholeorpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseof illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar ordissimilarmethodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregard tojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface IISA2020,the5thInternationalConferenceonIntelligent,InteractiveSystemsand Applications,providesaforumforpresentingnewresultsanddevelopments,but— maybe even more—a forum for vivid discussions among international specialists from diverse areas and backgrounds. All submissions have been subjected to a rigorousandtough peer-review process.The programcommittee hasselectedover 100 full papers. The proceedings are organized into nine topics on different sys- tems’ orientations, such as analytical systems, database management systems, electronics systems, energy systems, intelligent systems, network systems, opti- mization systems, and pattern recognition systems and applications. It is note- worthytopointoutthatseveralspecialissueswillbepublishedbasedonextended versions of some of the best accepted and presented papers. Research works on analytics systems investigate utility predominant to systems in daily routines. They apply to many real-world applications, such as health care systems and business-oriented systems. Analytic systems come at the intersections ofmanycomputersciencefields,suchasinformationinfrastructures,dataanalytics, decision support systems, text analytics, and persuasive technologies. These sys- tems are based mainly on analytic databases, which are at the heart of business intelligence and big data analytics, and usually function as part of more extensive data warehouses. They are popular because they offer faster query times, simpler maintenance, and easier scalability due to their less volatile nature. Analytic sys- temsusuallyconsidermetricssuchaseffectiveness,efficiency,usability,portability, interpretability to determine the system’s impact. Nowadays, these systems collect measurementsfromdailypracticesinsteadofonlycomputationalexperiments.This requires a significant software engineering effort before determining the analytic system’s utility. Strategic research in the development of analytic systems consists ofimprovingtransparencyinthedecision-makingprocess.Thisproceedingsreports 29 research works related to analytic systems. Database management systems are essential to the development of efficient information systems. Data management is the process of preparing, storing, orga- nizing, and maintaining the data collected by an organization. Effective data management is fundamental to run business applications and provide analytical v vi Preface informationthatassetsinguidingexecutivedecision-makingandstrategicplanning business managers. Databases are the most common platform used to store cor- porate data. They contain a collection of data that is structured so that it can be managed, updated, and maintained effectively, yet efficiently. They are used in transaction processing systems that create operational data, such as customer records and sales orders, and data warehouses, which store consolidated data sets from business systems for data analytics. Three research papers related to analytic systems are included in this proceedings. Electronics systems can be defined as a set of physical components that are connected in a way that implements the prescribed functionality. In general, the systemreliesonsomeinputdevicessuchassensorstoobtaininformationaboutthe situation, processes the collected data via electronic gates, to yield results in the formofsignalstobeusedtotriggersomeoutputactuators,suchmotors,toachieve the intended function. Electronic control systems are also viewed as a process that transforms one signal into another in order to give the desired system response. Electronic systems may be analog using continuous signals in time or digital handling only discrete signals in time. Of course, it is possible to have a hybrid electronic system based on both continuous and digital signals and components. Manyreal-worlddevicesrelyonanelectroniccontrolsystem.Relatedtoelectronic systems, the reader may enjoy eleven papers reported in this proceedings. Efficient solutions to energy-related problems form a significant challenge for humanity in this century worldwide. Energy systems usually encompass power systems and their optimization, power generation, power trading, electricity risk management, among many other related aspects. Modeling is the best tool for designing effective yet efficient energy systems, including issues such as process optimization, synthesis, design, and operation. Nowadays, most of the research efforts regarding energy systems focus on new and clean energy, such as photo- voltaic and wind systems. Such power systems are engineered to supply usable solar power bymeans of photovoltaics. Theyarecomposedofseveralsuch components, including solar panels to absorb and convert sunlight into electricity, a solar inverter to convert the output from direct to alternating current, as well as mounting, cabling, and other electrical accessories to set up an overall system. There are also research initiatives regarding electric car designs. This proceedings includes seven research papers related to efficient energy solutions. Engineering concentrates mainly on finding and developing a new efficient solutiontoreal-worldproblems.Engineeringintelligentsystemsareonewaytofind these solutions. It is based on computing and artificial intelligence. In most solu- tions, an intelligent system senses and reacts to their environments. This type of systemusuallyincludesaprocessingunit,suchageneral-purposeprocessorand/or a dedicated one, to infer from the sensed data the right actions that should be applied to the environment in order to achieve what the system is supposed to do. Most intelligent systems are powered by a computational intelligence technique to solve the hard problem at hand. There are many such techniques, such as artificial neuralnetworks,fuzzylogic,evolutionarycomputation,swarmintelligence,among others. This proceedings reports 19 research papers on intelligent systems. Preface vii Network systems are all about automating the transfer of information from one computertoanotherorfromonepartofthesystemtoanother.Afundamentalshift in technology and concepts made networking systems possible. They explore a widerangeoftechnology,specificallyregardingsoftwareandhardwaresupporting differentkindsofnetworktopologyconfigurations,suchasLANs,WANs,andWi- Fi networks. It is also noteworthy to point out the wireless sensor networks that allow developing solutions for many engineering problems that are distributed by their nature. Networked systems can also be regarded as high-performance com- putingsystems,whereinmanycoresandmulticorescomplexarchitecturesformthe foundation of the proposed solutions. This proceedings reports 16 research papers on network systems. Optimization is a well-established discipline. Many of the real-world engineer- ing problems can be rendered as optimization problems of a cost function that modelsallthebehavioroftheproblemvariables.Inthiscase,oneorseveraloptimal or pseudo-optimal solutions of the defined cost function are sought. The problems considered are usually hard problems and cannot be solved using well-known analytical techniques. Thus, researchers usually exploit iterative exploratory pro- cesses to reach a good feasible solution to the problem at hand. Evolutionary and swarm-based computationally intelligent methods are used for each goal. Also, there is a lot of research work oriented toward finding good strategies to form the core of the techniques that help in the optimization process. This proceedings includes seven research works related to optimization systems. Pattern recognition is the process of identifying patterns mostly by using machine learning. Pattern recognition can be defined as the classification of data based on prior knowledge about patterns that have their classes known. It is based onrecognizingsomeregularitiesinthepresenteddataandattemptingtoconfigurea model to recognize new patterns that have not been seen by the model. Pattern recognition is a technique at the heart of many smart systems. Pattern recognition systemsareusuallytrainedfromknowntrainingdataaimingatageneralmodelthat is able to recognize unknown data. Machine learning is a fundamental tool for pattern recognition. Computational vision is one of the fields that profits a large spectrum from pattern recognition to advance the state-of-the-art regarding smart system engineering. This proceedings reports four research papers on pattern recognition systems. Alltheaforementionedresearchtopicsareappliedtoengineersleadingtobetter and more efficient systems to advance the state-of-the-art toward a smarter human life.Thus,thisproceedingsalsobringforthmanyreportsonsuccessfulapplications, rangingfromabstractonestomorepracticalsystems.Thisproceedingsincludes24 applied research papers. Besides the presentations of all the included diverse research works, the con- ferenceprogramalsofeaturessomeinterestingcutting-edgeskeynotepresentations. The plenary talks will focus on crucial topics that have recently attracted much attentionandwillbepresentedbyoutstandingexpertsfromthearea.Webelieveall participants will enjoy and benefit from the rich program. viii Preface It isaprivilege andhonor for ustoparticipateinthis edition ofIISA 2020,and wehopewewillbewithyouonceagainnextyearforIISA2021.Ithasalsobeena rewardingexperience,andweexpressoursincerethankstoallprogramcommittee membersfortheircooperationinshapingtheconferenceandrunningtherefereeing process. We highly appreciate the hard work and timely feedback from the reviewerswhodidanexcellentjob.Lastbutnotleast,wewouldliketothankallthe authors,organizers,andparticipantsforsupportingIISA2020.Thankyouforyour time and effort in preparing and submitting your papers and your patience through the long process. Your work is the backbone of the conference. We wish you all a pleasant and fruitful meeting, and we look forward to your submission to and participation in IISA 2021. Madjid Tavana Nadia Nedjah Reda Alhajj Contents Analytical Systems Consumer’s Optimal Decision and the Role of Insurance in the Risk State—An Analytical Perspective Based on the Expected Utility Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Wenting Cao Correlation Analysis of Children’s Stroller Information . . . . . . . . . . . . 11 Liu Xia, Chen Qianwen, Qiao Feng, and Pei Fei Game on the Tacit Collusion of the Telecom Market Under the Full-Business Operating Environment . . . . . . . . . . . . . . . . . . . . . . . 20 Qiming Tang, Yongyao Chen, and Meijuan Li Discussion on the Training Mode of Data Capability for Economics and Management Majors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Guihua Han, Mintyu Lin, and Cuilin Li Research on Service Quality Evaluation System of Automobile Maintenance Enterprises Based on AHP . . . . . . . . . . . . . . . . . . . . . . . . 33 Xiao Juan Yang, Shu Quan Xv, Fu Jia Liu, and Guo Fang Wu A Method of Determining Membership Function in Fuzzy Comprehensive Evaluation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Guoliang Dong, Chaozhou Chen, and Guofang Wu Analysis of Computer Software Technology under Big Data Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Lei Guiping Research on ShadowsocksR Traffic Identification Based on Xgboost Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Ji Qingbing, Deng Xiaoyan, Ni Lulin, and Lei Haijun ix
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