Computational Science/Intelligence and Applied Informatics

193 Pages·2020·6.839 MB·English

by  Roger Lee

Studies in Computational Intelligence 848
Roger Lee Editor
Computational
Science/
Intelligence
and Applied
Informatics
Studies in Computational Intelligence
Volume 848
Series Editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes new develop-
mentsandadvancesinthevariousareasofcomputationalintelligence—quicklyand
with a high quality. The intent is to cover the theory, applications, and design
methods of computational intelligence, as embedded in the fields of engineering,
computer science, physics and life sciences, as well as the methodologies behind
them. The series contains monographs, lecture notes and edited volumes in
computational intelligence spanning the areas of neural networks, connectionist
systems, genetic algorithms, evolutionary computation, artificial intelligence,
cellular automata, self-organizing systems, soft computing, fuzzy systems, and
hybrid intelligent systems. Of particular value to both the contributors and the
readership are the short publication timeframe and the world-wide distribution,
which enable both wide and rapid dissemination of research output.
The books of this series are submitted to indexing to Web of Science,
EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
More information about this series at http://www.springer.com/series/7092
Roger Lee
Editor
Computational
Science/Intelligence
and Applied Informatics
123
Editor
RogerLee
Software Engineering andInformation
Technology Institute
Central Michigan University
Mount Pleasant,MI, USA
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN978-3-030-25224-3 ISBN978-3-030-25225-0 (eBook)
https://doi.org/10.1007/978-3-030-25225-0
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Foreword
The purpose of the 6th ACIS International Conference on Computational
Science/Intelligence and Applied Informatics (CSII 2019) which was held on May
29–31 in Honolulu, Hawaii was to together researchers, scientists, engineers,
industry practitioners, and students to discuss, encourage, and exchange new
ideas, research results, and experiences on all aspects of A Computational
Science/IntelligenceandAppliedInformaticsandtodiscussthepracticalchallenges
encounteredalongthewayandthesolutionsadoptedtosolvethem.Theconference
organizers have selected the best 13 papers from those papers accepted for pre-
sentationattheconferenceinordertopublishtheminthisvolume.Thepaperswere
chosen based on review scores submitted by members of the program committee
and underwent further rigorous rounds of review.
In chapter “The Analysis on Commercial and Open Source Software Speech
Recognition Technology”, Jong-Bae Kim and Hye-Jeong Kweon compared and
analyzed features and functions of typical speech recognition software in the
commercialandopen-sourcesoftwarefields.Itisexpectedthatthecomparisonand
analysis on the features and functions of commercial and open-source software in
the speech recognition software field carried out in this study could suggest a
standard for selecting speech recognition technologies to help use proper API in
context.
In chapter “Implementation of Electronic Braille Document for Improved Web
Accessibility”,Ho-SungPark,Yeong-HwiLee,Sam-HyunChunandJong-BaeKim
discuss the problems associated with the access to electronic documents that are
provided by an information system through the Web or email are examined from
the perspective of information access of visually impaired people. They propose a
method to convert data of an electronic document into braille in the information
system server for enabling visually impaired people to access documents more
accurately.
In chapter “A Reliable Method to Keep Up-to-Date Rights Management
Information of Public Domain Images Based on Deep Learning”, Youngmo Kim,
ByeongchanParkandSeok-YoonKimproposeareliablemethodofintegratingthe
RMI representation system and updating the RMI with the up-to-date information
v
vi Foreword
basedonthemostreliabledataamonginformationcollectedfromeachsitethrough
a comparative search technique for public domain images based on deep learning.
Inchapter“ApplyingGAasAutonomousLandingMethodologytoaComputer-
Simulated UAV”, Changhee Han proposes a genetic algorithm method to achieve
autonomy of unmanned aerial vehicles and will check the possibility of
self-regulated autonomous unmanned aerial vehicle by applying the genetic
algorithm.
Inchapter“Vision-BasedVirtualJoystickInterface”,SuwonLeeandYong-HoSeo
propose a virtual joystick system, which is a type of virtual input device. Their
systemdetectsahandheldstickandcomputesthedirectioninwhichtheuser’shand
moves relative to a user-defined center. The proposed system’s accuracy is com-
petitive and has real-time speed in the laptop environment.
Inchapter“AStudyonImprovementofSoundQualityofFlatDisplaySpeaker
byImprovingAcousticRadiationCharacteristics”,SungtaeLee,KwanhoParkand
HyungwooParkanalyzetheacousticcharacteristicsofaflatspeakertorealizesuch
stereophonic sound and improve sound quality for organic light-emitting diode
(OLED) panel televisions.
In chapter “Edge Detection in Roof Images Using Transfer Learning in CNN”,
AneeqaAhmed,Yung-Cheol Byun and SangYong Byun employ CNN methodto
detectedgesofroofimages.IncorporatingCNNintoedgedetectionproblemmakes
the whole system simple, fast, and reliable. Moreover, with no more extra training
and without additional feature extraction, CNN can process input images of any
size.
In chapter “Improvement of Incremental Hierarchical Clustering Algorithm by
Re-insertion”, Kakeru Narita, Teruhisa Hochin, Yoshihiro Hayashi and Hiroki
Nomiya attempt to improve the incremental clustering method. By examining the
clustermultimodalitywhichisthepropertyofaclusterhavingseveralmodes,they
can select some points of a different distribution inferred from a dendrogram and
transfer the points in the cluster to a different cluster.
In chapter “A New Probabilistic Tree Expression for Probabilistic Model
Building Genetic Programming”, Daichi Kumoyama, Yoshiko Hanada and
Keiko Ono propose a new expression of probabilistic tree for probabilistic model
building GPs (PMBGP). Tree-structured PMBGPs estimate the probability of
appearance of symbols at each node of the tree from past search information and
decide the symbol based on the probability at each node in generating a solution.
Through numerical experiments, they show the effectiveness of the proposed
probabilistic tree by incorporating it to a local search-based crossover in symbolic
regression problems.
In chapter “Infrastructure in Assessing Disaster-Relief Agents in the
RoboCupRescue Simulation”, Shunki Takami, Masaki Onishi, Itsuki Noda,
Kazunori Iwata, Nobuhiro Ito, Takeshi Uchitane and Yohsuke Murase propose a
combination of an agent development framework and experiment management
software in this study as infrastructures in assessing disaster-relief agents in the
RoboCupRescue Simulation. In the evaluation, a combinatorial experiment as a
case study confirms the effectiveness of the environment and shows that the
Foreword vii
environment can contribute to future disaster response research that utilizes a
multi-agent simulation.
In chapter “OOCQM: Object Oriented Code Quality Meter”, Asma Shaheen,
UsmanQamar,AimanNazir,RaheelaBibi,MunazzaAnsarandIqraZafarpropose
aframeworknamedObjectOrientedCodeQualityMeter(OOCQM)formeasuring
source code quality of object-oriented code using low-level code metrics and
high-level quality factors.
In chapter “A Fault-Tolerant and Flexible Privacy-Preserving Multisubset Data
Aggregation in Smart Grid”, Hung-Yu Chien and Chunhua Su propose a new
PPMA scheme that facilitates flexible SM deployment, independent SM status
reporting without strict synchronization, and fault tolerance to any SM failure as
long as at least two well-function SMs.
In chapter “Secure and Efficient MQTT Group Communication Design”,
Hung-Yu Chien, Xi-An Kou, Mao-Lun Chiang and Chunhua Su design a secure
MQTT group communication framework in which each MQTT application would
periodically update the group key and the data communication can be efficiently
and securely encrypted by the group keys. Both the prototype system and the
analysis show that our design can improve the performance of security, computa-
tion, and communication.
It is our sincere hope that this volume provides stimulation and inspiration and
that it will be used as a foundation for works to come.
May 2019 Hitoshi Iima
Kyoto Institute of Technology
Kyoto, Japan
Contents
The Analysis on Commercial and Open Source Software Speech
Recognition Technology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Jong-Bae Kim and Hye-Jeong Kweon
Implementation of Electronic Braille Document for Improved
Web Accessibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Ho-Sung Park, Yeong-Hwi Lee, Sam-Hyun Chun and Jong-Bae Kim
A Reliable Method to Keep Up-to-Date Rights Management
Information of Public Domain Images Based on Deep Learning . . . . . . 35
Youngmo Kim, Byeongchan Park and Seok-Yoon Kim
Applying GA as Autonomous Landing Methodology
to a Computer-Simulated UAV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Changhee Han
Vision-Based Virtual Joystick Interface . . . . . . . . . . . . . . . . . . . . . . . . . 65
Suwon Lee and Yong-Ho Seo
A Study on Improvement of Sound Quality of Flat Display Speaker
by Improving Acoustic Radiation Characteristics . . . . . . . . . . . . . . . . . 79
Sungtae Lee, Kwanho Park and Hyungwoo Park
Edge Detection in Roof Images Using Transfer Learning in CNN . . . . . 91
Aneeqa Ahmed, Yung-Cheol Byun and Sang Yong Byun
Improvement of Incremental Hierarchical Clustering Algorithm
by Re-insertion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
Kakeru Narita, Teruhisa Hochin, Yoshihiro Hayashi and Hiroki Nomiya
ANewProbabilisticTreeExpressionfor ProbabilisticModelBuilding
Genetic Programming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121
Daichi Kumoyama, Yoshiko Hanada and Keiko Ono
ix
x Contents
Infrastructure in Assessing Disaster-Relief Agents
in the RoboCupRescue Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133
Shunki Takami, Masaki Onishi, Itsuki Noda, Kazunori Iwata,
Nobuhiro Ito, Takeshi Uchitane and Yohsuke Murase
OOCQM: Object Oriented Code Quality Meter. . . . . . . . . . . . . . . . . . . 149
Asma Shaheen, Usman Qamar, Aiman Nazir, Raheela Bibi,
Munazza Ansar and Iqra Zafar
A Fault-Tolerant and Flexible Privacy-Preserving Multisubset Data
Aggregation in Smart Grid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165
Hung-Yu Chien and Chunhua Su
Secure and Efficient MQTT Group Communication Design. . . . . . . . . . 177
Hung-Yu Chien, Xi-An Kou, Mao-Lun Chiang and Chunhua Su
Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 187