Table Of ContentAdvances in Intelligent Systems and Computing 1288
Kohei Arai
Supriya Kapoor
Rahul Bhatia Editors
Proceedings
of the Future
Technologies
Conference
(FTC) 2020,
Volume 1
Advances in Intelligent Systems and Computing
Volume 1288
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.
** Indexing: The books of this series are submitted to ISI Proceedings,
EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink **
More information about this series at http://www.springer.com/series/11156
Kohei Arai Supriya Kapoor
(cid:129) (cid:129)
Rahul Bhatia
Editors
Proceedings of the Future
Technologies Conference
(FTC) 2020, Volume 1
123
Editors
KoheiArai SupriyaKapoor
Faculty of Science andEngineering TheScience andInformation
SagaUniversity (SAI) Organization
Saga,Japan Bradford, West Yorkshire, UK
RahulBhatia
TheScience andInformation
(SAI) Organization
Bradford, West Yorkshire, UK
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-3-030-63127-7 ISBN978-3-030-63128-4 (eBook)
https://doi.org/10.1007/978-3-030-63128-4
©SpringerNatureSwitzerlandAG2021
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’
Editor s Preface
With the aim ofproviding a worldwideforum, where the international participants
can share their research knowledge and ideas, the 2020 Future Technologies
Conference (FTC) was held virtually on November 5–6, 2020. FTC 2020 focuses
on recent and latest technological breakthroughs in the areas of computing, elec-
tronics, AI, robotics, security and communications and map out the directions for
future researchers and collaborations.
The anarchic spirit and energy of inquiry found in our community always help
researchers to produce brilliant technological advances which continue to restruc-
ture entire computing community. FTC see participation from such researchers,
academics and technologists from leading universities, research firms, government
agenciesandcompaniestosubmittheirlatestresearchattheforefrontoftechnology
and computing.
We are pleased to review and select a volume of high-qualified papers from all
submissions during the conference. We hope these papers which have been gone
through the double-blind review process can provide helpful reference for all
readers and scholars. In these proceedings, we finally selected 210 full papers
including six poster papers to publish.
We would like to express our gratitude and appreciation to all of the reviewers
who helped us maintaining the high quality of manuscripts included in this con-
ferenceproceedings.Wewouldalsoliketoextendourthankstothemembersofthe
organizing team for their hard work. We are tremendously grateful for the contri-
butionsandsupportreceivedfromauthors,participants,keynotespeakers,program
committeemembers,sessionchairs,steeringcommitteemembersandothersintheir
variousroles.Theirvaluablesupport,suggestions,dedicatedcommitmentandhard
work have made FTC 2020 a success.
WehopethatalltheparticipantsofFTC2020hadawonderfulandfruitfultime
at the conference!
Kind Regards,
Kohei Arai
v
Contents
Predicting Intrusiveness of Android Apps by Applying LSTM
Networks on Their Descriptions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Fernando Montenegro, Halil Bisgin, Fadi Mohsen,
and Nikita Mary Sobers
Multimodel Sentiment Analysis with Self-attention . . . . . . . . . . . . . . . . 16
Runqing Cao, Chunyang Ye, and Hui Zhou
AI as Co-workers: An Explorative Research on Technology
Acceptance Based on the Revised Bloom Taxonomy . . . . . . . . . . . . . . . 27
Christian Greiner, Florian Jovy-Klein, and Tom Peisl
A Novel Chattering Reduction in the Sliding Mode Control
of Robot Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Nguyen Hoang Mai
Enabling Drones Collaboration in ITS Applications Using a BDI
Architecture Based on a 5-Dimensional . . . . . . . . . . . . . . . . . . . . . . . . . 48
Hana Gharrad, Nafaa Jabeur, Ansar Ul-Haque Yasar,
Khalid Ali Sulaiyam Al Abri, Youssef El-Hansali, and Bruno Kochan
An Agent-Based Study of the Impact of Sensitization on the Spread
of Covid 19 in Burkina Faso . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
Eric Youl, Sadouanouan Malo, and Stanislas Ouaro
Comparison of Machine Learning Algorithms to Recognize Human
Activities from Images and Videos Using Pose Estimation
and Feature Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78
Md Hasibul Huq, Mohammed Alnakli, Zakiya Jafrin,
and Tanjima Nasreen Jenia
Merging in Weighted Voting Games with Multiple Strategic Agents . . . 88
Ramoni O. Lasisi
vii
viii Contents
Using Self Organizing Map to Characterize Flocculation
of Papermaking Wastewater . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
Ming Li, Kaitang Hu, and Jin Wang
Constraint Programming as an Approach for Structural
Flowsheet Synthesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
Alexander Zuenko, Andrey Oleynik, Yurii Oleynik, Valeriy Birukov,
and Roman Nikitin
Intelligent and Adaptive Systems of Systems for Engineering
Desired Self-organization and Emergent Behavior . . . . . . . . . . . . . . . . . 126
Bonnie Johnson
A Machine Learning Based Framework for Intelligent High
Density Garbage Area Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . 147
Tejasvi Ghanshala, Vikas Tripathi, and Bhaskar Pant
Evaluation of the Uniformity of Paper Sheets Using K-Means. . . . . . . . 153
Ming Li and Kaitang Hu
Paradigm Shift in Remote Eye Gaze Tracking Research:
Highlights on Past and Recent Progress. . . . . . . . . . . . . . . . . . . . . . . . . 159
Ibrahim Shehi Shehu, Yafei Wang, Athuman Mohamed Athuman,
and Xianping Fu
Autonomous Mobile Robot with AI Based on Jetson Nano . . . . . . . . . . 190
Gordeev Alexey, Vladimir Klyachin, Kurbanov Eldar,
and Aleksandr Driaba
On the Impact of Early Stopping in Multiple Kernel Learning . . . . . . . 205
Ivano Lauriola
Performance Analysis of Computer Vision with Machine Learning
Algorithms on Raspberry Pi 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216
Kevin Worsley, Anas Salah Eddin, Jinjun Xiong, Wen-mei Hwu,
and Mohamed El-Hadedy
Human Head Angle Detection Based on Image
Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233
Alexey Kashevnik, Ammar Ali, Igor Lashkov, and Dmitry Zubok
Dialogical Guidelines Aided by Knowledge Acquisition:
Enhancing the Design of Explainable Interfaces
and Algorithmic Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243
Anne Gerdes
Machine Learning and Control Engineering: The Model-Free Case . . . 258
Michel Fliess and Cédric Join
Contents ix
An Analysis of k-Mer Frequency Features with Machine
Learning Models for Viral Subtyping of Polyomavirus
and HIV-1 Genomes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
V. E. Machaca Arceda
The Impact of Artificial Intelligence on Work, Education, Mobility
and Economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291
Ashot Davoyan
Syntropic Counterpoints: Singularity Dadaism as Novel AI Creative
Practice Paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
Predrag K. Nikolic
A Hybrid Algorithm to Solve Multi-model Optimization Problems
Based on the Particle Swarm Optimization with a Modified
Firefly Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308
M. K. A. Ariyaratne, T. G. I. Fernando, and S. Weerakoon
Incorporating Unsupervised Deep Learning into Meta Learning
for Energy Time Series Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326
Shadi Shahoud, Hatem Khalloof, Clemens Duepmeier,
and Veit Hagenmeyer
Gender Detection on Social Networks Using Ensemble
Deep Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346
Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter,
Laura E. Barnes, and Donald E. Brown
Email User Classification and Topic Modeling. . . . . . . . . . . . . . . . . . . . 359
Krupal Shah, Nirav Shah, Shaival Shah, and Dip Patel
Sales Forecast by Using Deep Rectifier Network . . . . . . . . . . . . . . . . . . 378
Oscar Chang, Galo Mosquera, Zenaida Castillo, and Luis Zhinin-Vera
Developing an Automatic Cooperating Neural Networks and Image
Standardization Approach for Segmentation of X-Ray Computed
Tomography Images. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390
Odai S. Salman and Ran Klein
Identification of Drone Payload Using Mel-Frequency Cepstral
Coefficients and LSTM Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . 402
Ahmad Traboulsi and Michel Barbeau
Komposer V2: A Hybrid Approach to Intelligent Musical
Composition Based on Generative Adversarial Networks
with a Variational Autoencoder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413
Madhushi D. Welikala and T. G. I. Fernando
x Contents
DeepLearningMethodsforAnatomicalLandmarkDetectioninVideo
Capsule Endoscopy Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426
Sodiq Adewole, Michelle Yeghyayan, Dylan Hyatt, Lubaina Ehsan,
James Jablonski, Andrew Copland, Sana Syed, and Donald Brown
Predictive Clustering Learning Algorithms for Stroke Patients
Discharge Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435
Luigi Lella
A Preliminary Exploration into an Alternative CellLineNet:
An Evolutionary Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443
Akwarandu Ugo Nwachuku, Xavier Lewis-Palmer,
and Darlington Ahiale Akogo
Borno: Bangla Handwritten Character Recognition Using
a Multiclass Convolutional Neural Network. . . . . . . . . . . . . . . . . . . . . . 457
AKM Shahariar Azad Rabby, Md. Majedul Islam, Nazmul Hasan,
Jebun Nahar, and Fuad Rahman
Stable Machine Learning Knowledge Map Domain Analysis. . . . . . . . . 473
Mohamed Fayad and Gaurav Kuppa
Water Leakage Detection Using Neural Networks . . . . . . . . . . . . . . . . . 484
Krupal Shah, Shreya Sabu, and Vedashree Chaphekar
Time Series Prediction by Using Convolutional Neural Networks . . . . . 499
Ronny Velastegui, Luis Zhinin-Vera, Gissela E. Pilliza, and Oscar Chang
Self-taught Neural Agents in Clever Game Playing . . . . . . . . . . . . . . . . 512
Oscar Chang, Luis Zhinin-Vera, and Francisco Quinga-Socasi
The AI-teration Method and the Role of AI in Architectural Design . . . 525
Ekaterina Danchenko
A Deep Learning Approach for Symmetric-Key
Cryptography System. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539
Francisco Quinga-Socasi, Luis Zhinin-Vera, and Oscar Chang
A Functionally Separate Autoencoder . . . . . . . . . . . . . . . . . . . . . . . . . . 553
Jinxin Wei and Qunying Ren
Transfer Learning on Fine-Grained Categorization . . . . . . . . . . . . . . . . 561
Justin Firsching and Sherif Hashem
Numerical Method for the One Phase 1D Fractional Stefan Problem
Supported by an Artificial Neural Network . . . . . . . . . . . . . . . . . . . . . . 568
Marek Błasik
Integrating Deepfake Detection into Cybersecurity Curriculum. . . . . . . 588
Hongmei Chi, Udochi Maduakor, Richard Alo, and Eleason Williams
