Table Of ContentAdvances 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
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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
