Lecture Notes in Computer Science 11643

Founding Editors

Gerhard GoosKarlsruhe Institute of Technology, Karlsruhe, Germany

Juris HartmanisCornell University, Ithaca, NY, USA

Editorial Board Members

Elisa BertinoPurdue University, West Lafayette, IN, USA

Wen GaoPeking University, Beijing, China

Bernhard SteffenTU Dortmund University, Dortmund, Germany

Gerhard WoegingerRWTH Aachen, Aachen, Germany

Moti YungColumbia University, New York, NY, USA

More information about this series at http://www.springer.com/series/7409

De-Shuang Huang • Vitoantonio Bevilacqua •

Prashan Premaratne (Eds.)

Intelligent ComputingTheories and Application15th International Conference, ICIC 2019Nanchang, China, August 3–6, 2019Proceedings, Part I

123

EditorsDe-Shuang HuangTongji UniversityShanghai, China

Vitoantonio BevilacquaPolytechnic University of BariBari, Italy

Prashan PremaratneUniversity of WollongongNorth Wollongong, NSW, Australia

ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-030-26762-9 ISBN 978-3-030-26763-6 (eBook)https://doi.org/10.1007/978-3-030-26763-6

LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI

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Preface

The International Conference on Intelligent Computing (ICIC) was started to providean annual forum dedicated to the emerging and challenging topics in artificialintelligence, machine learning, pattern recognition, bioinformatics, and computationalbiology. It aims to bring together researchers and practitioners from both academia andindustry to share ideas, problems, and solutions related to the multifaceted aspects ofintelligent computing.

ICIC 2019, held in Nanchang, China, during August 3–6, 2019, constituted the 15thInternational Conference on Intelligent Computing. It built upon the success ofprevious ICIC conferences held in Wuhan, China (2018), Liverpool, UK (2017),Lanzhou, China (2016), Fuzhou, China (2015), Taiyuan, China (2014), Nanning,China (2013), Huangshan, China (2012), Zhengzhou, China (2011), Changsha, China(2010), Ulsan, Republic of Korea (2009), Shanghai, China (2008), Qingdao, China(2007), Kunming, China (2006), and Hefei, China (2005).

This year, the conference concentrated mainly on the theories and methodologies aswell as the emerging applications of intelligent computing. Its aim was to unify thepicture of contemporary intelligent computing techniques as an integral concept thathighlights the trends in advanced computational intelligence and bridges theoreticalresearch with applications. Therefore, the theme for this conference was “AdvancedIntelligent Computing Technology and Applications.” Papers focusing on this themewere solicited, addressing theories, methodologies, and applications in science andtechnology.

ICIC 2019 received 609 submissions from 22 countries and regions. All papers wentthrough a rigorous peer-review procedure and each paper received at least three reviewreports. Based on the review reports, the Program Committee finally selected 217high-quality papers for presentation at ICIC 2019, included in three volumes ofproceedings published by Springer: two volumes of Lecture Notes in Computer Science(LNCS), and one volume of Lecture Notes in Artificial Intelligence (LNAI). Thisvolume of Lecture Notes in Computer Science (LNCS) includes 72 papers.

The organizers of ICIC 2019, including Tongji University, Nanchang Institute ofTechnology, and East China Institute of Technology, as well as Shandong University atWeihai, made an enormous effort to ensure the success of the conference. We herebywould like to thank the members of the Program Committee and the referees for theircollective effort in reviewing and soliciting the papers. We would like to thank AlfredHofmann, executive editor from Springer, for his frank and helpful advice andguidance throughout, and for his continuous support in publishing the proceedings. Inparticular, we would like to thank all the authors for contributing their papers. Withoutthe high-quality submissions from the authors, the success of the conference would not

have been possible. Finally, we are especially grateful to the International NeuralNetwork Society, and the National Science Foundation of China for their sponsorship.

June 2019 De-Shuang HuangVitoantonio Bevilacqua

Prashan Premaratne

vi Preface

ICIC 2019 Organization

General Co-chairs

De-Shuang Huang, ChinaShengqian Wang, China

Program Committee Co-chairs

Kang-Hyun Jo, South KoreaPhalguni Gupta, India

Organizing Committee Co-chairs

Chengzhi Deng, ChinaZhikai Huang, ChinaYusen Zhang, China

Organizing Committee Members

Shumin Zhou, ChinaWei Tian, ChinaYan Li, ChinaKeming Liu, ChinaShaoquan Zhang, ChinaLiling Zhang, China

Award Committee Chair

Vitoantonio Bevilacqua, Italy

Tutorial Chair

M. Michael Gromiha, India

Publication Chair

Ling Wang, China

Special Session Chair

Abir Hussain, UK

Special Issue Chair

Kyungsook Han, South Korea

International Liaison Chair

Prashan Premaratne, Australia

Workshop Co-chairs

Jair Cervantes Canales, MexicoMichal Choras, Poland

Publicity Co-chairs

Valeriya Gribova, RussiaLaurent Heutte, FranceChun-Hou Zheng, China

Exhibition Contact Chair

Di Wu, Tongji University, China

Program Committee Members

Abir HussainKhalid AamirKang-Hyun JoAngelo CiaramellaWenzheng BaoBinhua TangBin QianBingqiang LiuBin LiuLi ChaiChin-Chih ChangWen-Sheng ChenMichal ChorasXiyuan ChenJieren ChengChengzhi Liang

Dah-Jing JwoShaoyi DuDunwei GongXiaoheng DengMeng Joo ErEros PaseroEvi SyukurFengfeng ZhouFrancesco PappalardoGai-Ge WangLJ GongValeriya GribovaMichael Gromiha MariaNaijie GuGuoliang LiFei Han

Tianyong HaoMohd Helmy Abd WahabHao LinHongmin CaiXinguo LuHongjie WuJianbo FanJair CervantesJunfeng XiaJuan CarlosFigueroa-Jiangning SongJoo M. C. SousaJu LiuKa-Chun WongKyungsook HanSeeja K. R.

viii ICIC 2019 Organization

Yoshinori KunoLaurent HeutteXinyi LeBo LiYunxia LiuZhendong LiuHu LuFei LuoHaiying MaMingon KangMarzio PennisiGaoxiang OuyangSeiichi OzawaShaoliang PengPrashan PremaratneBoyang QuRui WangWei-Chiang HongXiangwei ZhengShen YinSungshin Kim

Surya PrakashTarVeli MumcuVasily AristarkhovVitoantonio BevilacquaLing WangXuesong WangWaqas Haider Khan

BangyalBing WangWenbin LiuWeidong ChenWei JiangWei WeiWeining QianTakashi KuremotoShitong WangXiao-Hua YuJing XiaoXin YinXingwen LiuXiujuan Lei

Xiaoke MaXiaoping LiuXiwei LiuYonggang LuYongquan ZhouZu-Guo YuYuan-Nong YeJianyang ZengTao ZengJunqi ZhangLe ZhangWen ZhangQi ZhaoChunhou ZhengZhan-Li SunZhongming ZhaoShanfeng ZhuQuan ZouZhenran Jiang

Additional Reviewers

Huijuan ZhuYizhong ZhouLixiang HongYuan WangMao XiaodanKe ZengXiongtao ZhangNing LaiShan GaoJia LiuYe TangWeiwei CaiYan ZhangYuanpeng ZhangHan ZhuWei JiangHong PengWenyan WangXiaodan DengHongguan LiuHai-Tao Li

Jialing LiKai QianHuichao ZhongHuiyan JiangLei WangYuanyuan WangBiao ZhangTa ZhouWei LiaoBin QinJiazhou ChenMengze DuSheng DingDongliang QinSyed Sadaf AliZheng ChencShang XiangXia LinYang WuXiaoming LiuJing Lv

Lin WeizhongJun LiLi PengHongfei BaoZhaoqiang ChenRu YangJiayao WuDadong DaiGuangdi LiuJiajia MiaoXiuhong YangXiwen CaiFan LiAysel Ersoy YilmazAgata GiełczykAkila RanjithXiao YangCheng LiangAlessio FeroneJosé Alfredo CostaAmbuj Srivastava

ICIC 2019 Organization ix

Mohamed Abdel-BassetAngelo CiaramellaAnthony CheflesAntonino StaianoAntonio BrunettiAntonio MarateaAntony LamAlfredo PulvirentiAreesha AnjumAthar Ali MoinuddinMohd Ayyub KhanAlfonso ZarcoAzis CiayadiBrendan HalloranBin QianWenbin SongBenjamin J. LangBo LiuBin LiuBin XinGuanya CaiCasey P. ShannonChao DaiChaowang LanChaoyang ZhangChuanchao ZhangJair CervantesBo ChenYueshan ChengChen HeZhen ChenChen ZhangLi CaoClaudio LoconsoleCláudio R. M. SilvaChunmei LiuYan JiangClaus ScholzYi ChenDhiya AL-JumeilyLing-Yun DaiDongbo BuDeming LeiDeepak Ranjan NayakDong HanXiaojun Ding

Domenico BuongiornoHaizhou WuPingjian DingDongqing WeiYonghao DuYi YaoEkram KhanMiao JiajiaZiqing LiuSergio SantosTomasz AndrysiakFengyi SongXiaomeng FangFarzana BibiFatih AdıgüzelFang-Xiang WuDongyi FanChunmei FengFengfeng ZhouPengmian FengFeng WangFeng YeFarid Garcia-LamontFrank ShiChien-Yuan LaiFrancesco FontanellaLei ShiFrancesca NardoneFrancesco CamastraFrancesco PappalardoDongjie FuFuhai LiHisato FukudaFuyi LiGai-Ge WangBo GaoFei GaoHongyun GaoJianzhao GaoJianzhao GaoGaoyuan LiangGeethan MendizGeethan MendizGuanghui LiGiacomo Donato

Cascarano

Giorgio ValleGiovanni DimauroGiulia RussoLinting GuanPing GongYanhui GuGunjan SinghGuohua WuGuohui ZhangGuo-Sheng HaoSurendra M. GuptaSandesh GuptaGang WangHafizul Fahri HanafiHaiming TangFei HanHao GeKai ZhaoHangbin WuHui DingKan HeBifang HeXin HeHuajuan HuangJian HuangHao LinLing HanQiu XiaoYefeng LiHongjie WuHongjun BaiHongtao LeiHaitao ZhangHuakang LiJixia HuangPu HuangSheng-Jun HuangHailin HuXuan HuoWan Hussain Wan IshakHaiying WangIl-Hwan KimKamlesh TiwariM. IkramUllah LaliIlaria BortoneH. M. Imran

x ICIC 2019 Organization

Ingemar BengtssonIzharuddin IzharuddinJackson GomesWu ZhangJiansheng WuYu HuJaya SudhaJianbo FanJiancheng ZhongEnda JiangJianfeng PeiJiao ZhangJie AnJieyi ZhaoJie ZhangJin LuJing LiJingyu HouJoe SongJose Sergio RuizJiang ShuJuntao LiuJiawen LuJinzhi LeiKanoksak

WattanachoteJuanjuan KangKunikazu KobayashiTakashi KomuroXiangzhen KongKulandaisamy A.Kunkun PengVivek KanhangadKang XuKai ZhengKun ZhanWei LanLaura YadiraDomínguez JaliliXiangtao ChenLeandro PasaErchao LiGuozheng LiLiangfang ZhaoJing LiangBo Li

Feng LiJianqiang LiLijun QuanJunqing LiMin LiLiming XiePing LiQingyang LiLisbeth RodríguezShaohua LiShiyong LiuYang LiYixin LiZhe LiZepeng LiLulu ZuoFei LuoPanpan LuLiangxu LiuWeizhong LuXiong LiJunming ZhangShingo MabuYasushi MaeMalik Jahan KhanMansi DesaiGuoyong MaoMarcial Guerra de

MedeirosMa WubinXiaomin MaMedha PandeyMeng DingMuhammad FahadHaiying MaMingzhang YangWenwen MinMi-Xiao HouMengjun MingMakoto MotokiNaixia MuMarzio PennisiYong WangMuhammad Asghar

NadeemNadir Subasi

Nagarajan RajuDavide NardoneNathan R. CannonNicole Yunger HalpernNing BaoAkio NakamuraZhichao ShiRuxin ZhaoMohd Norzali Hj MohdNor Surayahani SurianiWataru OhyamaKazunori OnoguchiAijia OuyangPaul Ross McWhirterJie PanBinbin PanPengfei CuiPu-Feng DuKunkun PengSyed Sadaf AliIyyakutti Iyappan

GanapathiPiyush JoshiPrashan PremaratnePeng Gang SunPuneet GuptaQinghua JiangWangren QiuQiuwei LiShi QianqianZhi-Xian LiuRaghad AL-ShabandarRafał KozikRaffaele MontellaWoong-Hee ShinRenjie TanRodrigo A. GutiérrezRozaida GhazaliPrabakaranJue RuanRui WangRuoyao DingRyuzo OkadaKalpana ShankhwarLiang ZhaoSajjad Ahmed

ICIC 2019 Organization xi

Sakthivel RamasamyShao-Lun LeeWei-Chiang HongHongyan SangJinhui LiuStephen BrierleyHaozhen SituSonja SonjaJin-Xing LiuHaoxiang ZhangSebastian LaskawiecShailendra KumarJunliang ShangWei-Feng GuoYu-Bo ShengHongbo ShiNobutaka ShimadaSyeda Shira MoinXingjia LuShoaib MalikFeng ShuSiqi QiuBoyu ZhouStefan WeigertSameena NaazSobia PervaizSomnath DeySotanto SotantoChao WuYang LeiSurya PrakashWei SuQi LiHotaka TakizawaFuZhou TangXiwei TangLi-Na ChenYao TuozhongQing TianTianyi ZhouJunbin FangWei XieShikui TuUmarani JayaramanVahid KarimipourVasily Aristarkhov

Vitoantonio BevilacquaValeriya GribovaGuangchen WangHong WangHaiyan WangJingjing WangRan WangWaqas Haider BangyalPi-Jing WeiWei LanFangping WanJue WangMinghua WanQiaoyan WenTakashi KuremotoChuge WuJibing WuJinglong WuWei WuXiuli WuYahui WuWenyin GongWu ZhangZhanjun WangXiaobing TangXiangfu ZouXuefeng CuiLin XiaTaihong XiaoXing ChenLining XingJian XiongYi XiongXiaoke MaGuoliang XuBingxiang XuJianhua XuXin XuXuan XiaoTakayoshi YamashitaAtsushi YamashitaYang YangZhengyu YangRonggen YangXiao YangZhengyu Yang

Yaolai WangYaping YangYue ChenYongchun ZuoBei YeYifei QiYifei SunYinglei SongYing LingYing ShenYingying QuLvjiang YinYiping LiuWenjie YiJianwei YangYu-Jun ZhengYonggang LuYan LiYuannong YeYong ChenYongquan zhouYong ZhangYuan LinYuansheng LiuBin YuFang YuKumar YugandharLiang YuYumin NieXu YuYuyan HanYikuan YuYong WangYing WuYing XuZhiyong WangShaofei ZangChengxin ZhangZehui CaoTao ZengShuaifang ZhangYan ZhangLiye ZhangZhang QinhuSai ZhangSen Zhang

xii ICIC 2019 Organization

Shan ZhangShao Ling ZhangWen ZhangWei ZhaoBao ZhaoZheng TianSijia ZhengZhenyu XuanFangqing ZhaoZhao Fangqing

Zhipeng CaiXing ZhouXiong-Hui ZhouLida ZhuPing ZhuQi ZhuZhong-Yuan ZhangZiding ZhangJunfei ZhaoZhe Li

Juan ZouQuan ZouQian ZhuZunyan XiongZeya WangYatong ZhouShuyi ZhangZhongyi Zhou

ICIC 2019 Organization xiii

Contents – Part I

Solving Symmetric and Asymmetric Traveling Salesman ProblemsThrough Probe Machine with Local Search . . . . . . . . . . . . . . . . . . . . . . . . 1

Md. Azizur Rahman and Jinwen Ma

An Evolutionary Algorithm Based on Multi-operator Ensemblefor Multi-objective Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Chao Wang, Ran Xu, and Xingyi Zhang

Water Evaporation Optimization Algorithm Based on Classificationand Unbiased Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Yanjiao Wang and Xiangyang Che

A Discrete Sine Cosine Algorithm for Community Detection . . . . . . . . . . . . 35Yongqi Zhao, Feng Zou, and Debao Chen

Automatical Pulmonary Nodule Detection by Feature Contrast Learning . . . . 45Jie Chang, Minquan Ye, Naijie Gu, Xiaoci Zhang, Chuanwen Lin,and Hong Ye

Unsupervised Cross-Domain Person Re-identification Basedon Style Transfer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

Yanwen Chong, Chengwei Peng, Jingjing Zhang, and Shaoming Pan

Improving Object Detection by Deep Networks with Class-Related Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Shoutao Xu and Zhong-Qiu Zhao

Dynamic Neural Network for Business and Market Analysis . . . . . . . . . . . . 77Javier de Arquer Rilo, Abir Hussain, May Al-Taei, Thar Baker,and Dhiya Al-Jumeily

w-type Synchronization of Memristor-Based Competitive Neural Networkswith Time-Varying Delays via Nonlinear Feedback Control . . . . . . . . . . . . . 88

Yue Chen, Zhenkun Huang, and Chao Chen

A Computer Immune Optimization Algorithm Based on GroupEvolutionary Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98

Fan Yang, Hua-li Zhang, and Lu Peng

Sound Field Reproduction in Reverberant Room Using the AlternatingDirection Method of Multipliers Based Lasso and RegularizedLeast-Square. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111

Jiaming Zhang, Maoshen Jia, Changchun Bao, and Qi Wang

Improvement of Image Reconstruction Algorithm Based on CS . . . . . . . . . . 121Tongxu Zhou and Li Wang

Automatic Badminton Action Recognition Using CNN with AdaptiveFeature Extraction on Sensor Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131

Ya Wang, Weichuang Fang, Jinwen Ma, Xiangchen Li,and Albert Zhong

A Deep Learning Model for Multi-label Classification UsingCapsule Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144

Diqi Pan, Yonggang Lu, and Peiyu Kang

Bundled Round Bars Counting Based on Iteratively Trained SVM . . . . . . . . 156Chang Liu, Liyao Zhu, and Xin Zhang

Combining LSTM Network Model and Wavelet Transformfor Predicting Self-interacting Proteins . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166

Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo,Peng-Wei Hu, and Han-Jing Jiang

Coarse-to-Fine Supervised Descent Method for Face Alignment . . . . . . . . . . 175Xijing Zhu, Zhong-Qiu Zhao, and Weidong Tian

Prediction of Chemical Oxygen Demand in Sewage Based on SupportVector Machine and Neural Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187

Jian Zhou, Qian-Jing Huang, Xiao-Feng Wang, and Le Zou

Relaxed 2-D Principal Component Analysis by Lp Normfor Face Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

Xiao Chen, Zhigang Jia, Yunfeng Cai, and Meixiang Zhao

Palm Recognition Using the Adaptive LWT Based SparseRepresentation Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208

Li Shang, Yan Zhou, and Zhan-li Sun

Dislocation Theory Based Level Set Image Segmentation. . . . . . . . . . . . . . . 218Fan Zhang, Boyan Zhang, and Xinhong Zhang

Out-of-Stock Detection Based on Deep Learning . . . . . . . . . . . . . . . . . . . . 228Jun Chen, Shu-Lin Wang, and Hong-Li Lin

A Fractional-Order Variational Residual CNN for Low DoseCT Image Denoising . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

Miao Chen, Yi-Fei Pu, and Yu-Cai Bai

CNN-SIFT Consecutive Searching and Matching for WineLabel Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250

Xiaoqing Li, Jiansheng Yang, and Jinwen Ma

xvi Contents – Part I

Image Denoising via Multiple Images Nonlocally Means and ResidualTensor Decomposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262

Pengfei Guo and Lijuan Shang

Identification of Apple Tree Trunk Diseases Based on ImprovedConvolutional Neural Network with Fused Loss Functions . . . . . . . . . . . . . . 274

Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, and Bing Wang

Mirror PCA: Exploiting Facial Symmetry for Feature Extraction . . . . . . . . . . 284Jian-Xun Mi and Yueru Sun

Face Image Super-Resolution via Sparse Representation and LocalTexture Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296

Bao-Cheng Wang and Bo Li

Convolutional Capsule-Based Network for Person Re-identification. . . . . . . . 304Andong Li, Di Wu, De-Shuang Huang, and Lijun Zhang

Plant Leaf Recognition Based on Conditional Generative Adversarial Nets. . . 312Zhihao Jiao, Lijun Zhang, Chang-An Yuan, Xiao Qin, and Li Shang

Leaf Recognition Based on Capsule Network . . . . . . . . . . . . . . . . . . . . . . . 320Yang Zheng, Chang-An Yuan, Li Shang, and Zhi-Kai Huang

Image Segmentation Based on Local Chan-Vese Model Combinedwith Fractional Order Derivative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326

Le Zou, Liang-Tu Song, Xiao-Feng Wang, Yan-Ping Chen, Chao Tang,and Chen Zhang

Deep Learning Based Fluid Segmentation in Retinal Optical CoherenceTomography Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337

Xiaoming Liu, Dong Liu, Bo Li, and Shaocheng Wang

An Authentication Scheme in VANETs Based on Group Signature . . . . . . . . 346Xinxin Liu, Yanyan Yang, Erfeng Xu, and Zhijuan Jia

Malware Detection in Android System Based on Change Perception . . . . . . . 356Hua-li Zhang, Hua-yong Yang, Fan Yang, and Wei Jiang

Model Analysis and Prediction of People’s Travel Behaviors Underno Shared Bicycles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367

Guoquan Liu, Wenhui Yi, Zehui Lin, and Yiming Chen

Research on Security Vulnerabilities Based on Artificial Intelligence . . . . . . . 377Qian Zhu and Liang Liang

Privacy Preservation Based on Key Attribute and StructureGeneralization of Social Network for Medical Data Publication . . . . . . . . . . 388

Jie Su, Yi Cao, and Yuehui Chen

Contents – Part I xvii

EmoSens – The Proposal of System for Recognition of Emotionwith SDK Affectiva and Various Sensors . . . . . . . . . . . . . . . . . . . . . . . . . . 400

Martin Magdin, Michal Kohútek, Štefan Koprda, and Zoltán Balogh

Smart-Scrolling: Improving Information Access Performancein Linear Layout Views for Small-Screen Devices. . . . . . . . . . . . . . . . . . . . 412

Chuanyi Liu, Ningning Wu, Hao Mao, and Wei Su

Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA) . . . . . . 424Fahad Maqbool, Saad Razzaq, Jens Lehmann, and Hajira Jabeen

EEG-Based Seizure Diagnosis Using Discriminative Fractal Featuresfrom Feature Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 436

Su Yang, Gang Li, Jing Lu, Yi Sun, and Zhengyu Huang

Classifying Mixed Patterns of Proteins in High-Throughput MicroscopyImages Using Deep Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448

Enze Zhang, Boheng Zhang, Shaohan Hu, Fa Zhang, and Xiaohua Wan

Integration of Multimodal Data for Breast Cancer Classification Usinga Hybrid Deep Learning Method. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460

Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang,Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, and Fa Zhang

Liver Segmentation in CT Images with Adversarial Learning . . . . . . . . . . . . 470Yuxuan Chen, Suiyi Li, Su Yang, and Wuyang Luo

Cascade Dense-Unet for Prostate Segmentation in MR Images . . . . . . . . . . . 481Suiyi Li, Yuxuan Chen, Su Yang, and Wuyang Luo

A Percolation Algorithm to Discover Emerging Research Topics . . . . . . . . . 491Rong-Qiang Zeng and Li-Yuan Xue

Designing and Implementing Mobile Robot Navigation Basedon Behavioral Programming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501

Zuohua Ding, Bing Liu, and Haibang Xia

Weed Recognition in Wheat Field Based on SparseRepresentation Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511

Shanwen Zhang, Xianfeng Wang, and Zhen Wang

Automatic Cloud Segmentation Based on Fused FullyConvolutional Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520

Jie An, Jingfeng Wu, and Jinwen Ma

Label Propagation Based Semi-supervised Feature Selection to DecodeClinical Phenotype of Huntington’s Disease . . . . . . . . . . . . . . . . . . . . . . . . 529

Xue Jiang, Miao Chen, Weidi Wang, Weichen Song, and Guan Ning Lin

xviii Contents – Part I

Urine Sediment Detection Based on Deep Learning. . . . . . . . . . . . . . . . . . . 543Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, and Yi Xia

Identification of Apple Leaf Diseases Based on ConvolutionalNeural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553

Tao Fang, Peng Chen, Jun Zhang, and Bing Wang

Multiomics Data Analysis Using Tensor Decomposition BasedUnsupervised Feature Extraction: –Comparison with DIABLO– . . . . . . . . . . 565

Y-h. Taguchi

Sequence-Based Prediction of Hot Spots in Protein-RNA ComplexesUsing an Ensemble Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575

Le Zhao, Sijia Zhang, and Junfeng Xia

Realtime Computer Vision-Based Accurate Vehicle Counting and SpeedEstimation for Highways . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583

C. Shiranthika, P. Premaratne, Z. Zheng, and B. Halloran

Comparison of Various Weighted K-Nearest Neighbor Methodsfor Positioning Systems Using Visible LED Lights . . . . . . . . . . . . . . . . . . . 593

Huy Q. Tran and Cheolkeun Ha

Parameters Optimization for Support Vector Regression Based IndoorVisible Light Localization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 604

Huy Q. Tran and Cheolkeun Ha

A Novel Mechanism of Position Update in Multi-objective ParticleSwarm Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617

Yanmin Liu, Lian Yuan, Aijia Ouyang, Wei Li, Rui Leng, and Tao Huang

A New Multi-objective Particle Swarm Optimization Based on LinearDecreasing Velocity Update Mechanism . . . . . . . . . . . . . . . . . . . . . . . . . . 626

Yanmin Liu, Lian Yuan, Aijia Ouyang, Hongyan Ye, Rui Leng,and Tao Huang

Cluster-Head Selection for Energy-Harvesting IoT Devices in Multi-tier5G Cellular Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634

Mario R. Camana, Carla E. Garcia, and Insoo Koo

Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 646

Xian-feng Wang, Zhen Wang, and Shan-wen Zhang

A Recognition Method for Italian Alphabet Gestures Basedon Convolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653

Xiaoyu Ji, Qiming Yu, Yunxia Liu, and Shan Kong

Contents – Part I xix

Two-Stage Algorithm for Solving Multi-depot Green Vehicle RoutingProblem with Time Window. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 665

Yang Li, Bin Qian, Rong Hu, Li-Ping Wu, and Bo Liu

Hybrid Cross-entropy Algorithm for Mixed Model U-shaped AssemblyLine Balancing Problem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676

Yi-Fan Zheng, Rong Hu, Bin Qian, Ling Wang, and Feng-Hong Xiang

Study on Medical Image Report Generation Based on ImprovedEncoding-Decoding Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 686

Li Sun, Weipeng Wang, Jiyun Li, and Jingsheng Lin

Multi-verse Optimization Algorithm for Solving Two-Dimensional TSP. . . . . 697Guo Zhou, Wei Pan, and Yongquan Zhou

A Quaternion’s Encoding Sine Cosine Algorithm . . . . . . . . . . . . . . . . . . . . 707Li Lv, Dengxu He, Miao Lu, and Yundi Rao

A Complex-Valued Encoding Moth-Flame Optimization Algorithmfor Global Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719

Pengchuan Wang, Yongquan Zhou, Qifang Luo, Chencheng Fan,and Zhehong Xiang

An Enhanced Whale Optimization Algorithm with Simplex Method . . . . . . . 729Yanbiao Niu, Zhonghua Tang, Yongquan Zhou, and Zhongmin Wang

BFPA: Butterfly Strategy Flower Pollination Algorithm . . . . . . . . . . . . . . . . 739Mengyi Lei, Qifang Luo, Yongquan Zhou, Chengmei Tang,and Yuanyuan Gao

Artificial Neural Network Hyperparameter Optimisation for NetworkIntrusion Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 749

Marek Pawlicki, Rafał Kozik, and Michał Choraś

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 761

xx Contents – Part I

Contents – Part II

Particle Swarm Optimization-Based Power Allocation Scheme for SecrecySum Rate Maximization in NOMA with Cooperative Relaying . . . . . . . . . . . 1

Carla E. Garcia, Mario R. Camana, Insoo Koo, and Md Arifur Rahman

A Novel Binary Particle Swarm Optimization for MultipleSequence Alignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Yanlian Du, Jingxuan He, and Changcun Du

A Diversity Based Competitive Multi-objective PSO for Feature Selection . . . 26Jianfeng Qiu, Fan Cheng, Lei Zhang, and Yi Xu

A Decomposition-Based Hybrid Estimation of DistributionAlgorithm for Practical Mean-CVaR Portfolio Optimization . . . . . . . . . . . . . 38

Yihua Wang and Wanyi Chen

CBLNER: A Multi-models Biomedical Named Entity RecognitionSystem Based on Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

Gong Lejun, Liu Xiaolin, Yang Xuemin, Zhang Lipeng, Jia Yao,and Yang Ronggen

Dice Loss in Siamese Network for Visual Object Tracking. . . . . . . . . . . . . . 61Zhao Wei, Changhao Zhang, Kaiming Gu, and Fei Wang

Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid . . . . . . . 71Duy-Long Nguyen and Hong-Hee Lee

Precipitation Modeling and Prediction Based on Fuzzy-ControlMulti-cellular Gene Expression Programming and Wavelet Transform . . . . . . 81

YuZhong Peng, ChuYan Deng, HongYa Li, DaoQing Gong, Xiao Qin,and Li Cai

Integrative Enrichment Analysis of Intra- and Inter- Tissues’ DifferentiallyExpressed Genes Based on Perceptron . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93

Xue Jiang, Weihao Pan, Miao Chen, Weidi Wang, Weichen Song,and Guan Ning Lin

Identifying Differentially Expressed Genes Based on DifferentiallyExpressed Edges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105

Bolin Chen, Li Gao, and Xuequn Shang

Gene Functional Module Discovery via Integrating Gene Expressionand PPI Network Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116

Fangfang Zhu, Juan Liu, and Wenwen Min

A Novel Framework for Improving the Predictionof Disease-Associated MicroRNAs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127

Wenhe Zhao, Jiawei Luo, and Nguyen Hoang Tu

Precise Prediction of Pathogenic Microorganisms Using 16S rRNAGene Sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138

Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li,Zheng-Wei Li, and Lei Wang

Learning from Deep Representations of Multiple Networks for PredictingDrug–Target Interactions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151

Pengwei Hu, Yu-an Huang, Zhuhong You, Shaochun Li,Keith C. C. Chan, Henry Leung, and Lun Hu

Simulation of Complex Neural Firing Patterns Based on ImprovedDeterministic Chay Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162

Zhongting Jiang, Dong Wang, Huijie Shang, and Yuehui Chen

Knowledge Based Helix Angle and Residue Distance Restraint Free EnergyTerms of GPCRs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170

Huajing Ling, Hongjie Wu, Jiayan Han, Jiwen Ding, Weizhong Lu,and Qiming Fu

Improved Spectral Clustering Method for Identifying Cell Typesfrom Single-Cell Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177

Yuanyuan Li, Ping Luo, Yi Lu, and Fang-Xiang Wu

A Novel Weight Learning Approach Based on Density for AccuratePrediction of Atherosclerosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190

Jiang Xie, Ruiying Wu, Haitao Wang, Yanyan Kong, Haozhe Li,and Wu Zhang

An Effective Approach of Measuring Disease Similarities Basedon the DNN Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

Shuhui Su, Xiaoxiao(X.X.) Zhang, Lei Zhang, and Jian Liu

Herb Pair Danggui-Baishao: Pharmacological Mechanisms UnderlyingPrimary Dysmenorrhea by Network Pharmacology Approach . . . . . . . . . . . . 213

Li-Ting Li, Hai-Yan Qiu, Mi-Mi Liu, and Yong-Ming Cai

End-to-End Learning Based Compound Activity Prediction UsingBinding Pocket Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

Toshitaka Tanebe and Takashi Ishida

A Novel Approach for Predicting LncRNA-Disease Associationsby Structural Perturbation Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235

Zhi Cao, Jun-Feng Zhang, Shu-Lin Wang, and Yue Liu

xxii Contents – Part II

Improved Inductive Matrix Completion Method for PredictingMicroRNA-Disease Associations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247

Xin Ding, Jun-Feng Xia, Yu-Tian Wang, Jing Wang,and Chun-Hou Zheng

A Link and Weight-Based Ensemble Clustering for Patient Stratification . . . . 256Yuan-Yuan Zhang, Chao Yang, Jing Wang, and Chun-Hou Zheng

HGMDA: HyperGraph for Predicting MiRNA-Disease Association . . . . . . . . 265Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang,Jian-Cheng Ni, and Chun-Hou Zheng

Discovering Driver Mutation Profiles in Cancer with a LocalCentrality Score . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272

Ying Hui, Pi-Jing Wei, Jun-Feng Xia, Hong-Bo Wang, Jing Wang,and Chun-Hou Zheng

LRMDA: Using Logistic Regression and Random Walk with Restartfor MiRNA-Disease Association Prediction . . . . . . . . . . . . . . . . . . . . . . . . 283

Zhengwei Li, Ru Nie, Zhuhong You, Yan Zhao, Xin Ge, and Yang Wang

Distinguishing Driver Missense Mutations from Benign Polymorphismsin Breast Cancer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294

Xiyu Zhang, Ruoqing Xu, Yannan Bin, and Zhenyu Yue

A Novel Method to Predict Protein Regions Driving Cancer ThroughIntegration of Multi-omics Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303

Xinguo Lu, Xinyu Wang, Ping Liu, Zhenghao Zhu, and Li Ding

In Silico Identification of Anticancer Peptides with Stacking HeterogeneousEnsemble Learning Model and Sequence Information . . . . . . . . . . . . . . . . . 313

Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen,Zhen-Hao Guo, and Hui-Juan Zhu

Effective Analysis of Hot Spots in Hub Protein Interfaces Basedon Random Forest. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324

Xiaoli Lin and Fengli Zhou

Prediction of Human LncRNAs Based on Integrated InformationEntropy Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333

Junyi Li, Huinian Li, Li Zhang, Qingzhe Xu, Yuan Ping, Xiaozhu Jing,Wei Jiang, Bo Liu, and Yadong Wang

A Gated Recurrent Unit Model for Drug Repositioningby Combining Comprehensive Similarity Measuresand Gaussian Interaction Profile Kernel . . . . . . . . . . . . . . . . . . . . . . . . . . . 344

Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang,Lun Hu, and Leon Wong

Contents – Part II xxiii

A Novel Approach to Predicting MiRNA-Disease Associations. . . . . . . . . . . 354Guo Mao and Shu-Lin Wang

Hierarchical Attention Network for Predicting DNA-ProteinBinding Sites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366

Wenbo Yu, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, and Li Shang

Motif Discovery via Convolutional Networks with K-mer Embedding . . . . . . 374Dailun Wang, Qinhu Zhang, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang,and Li Shang

Whole-Genome Shotgun Sequence of Natronobacterium gregoryi SP2 . . . . . 383Lixu Jiang, Hao Xu, Zhixi Yun, Jiayi Yin, Juanjuan Kang, Bifang He,and Jian Huang

The Detection of Gene Modules with Overlapping Characteristicvia Integrating Multi-omics Data in Six Cancers . . . . . . . . . . . . . . . . . . . . . 394

Xinguo Lu, Qiumai Miao, Ping Liu, Li Ding, Zhenghao Zhu, Min Liu,and Shulin Wang

Combining High Speed ELM with a CNN Feature Encodingto Predict LncRNA-Disease Associations . . . . . . . . . . . . . . . . . . . . . . . . . . 406

Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang,and Zhan-Heng Chen

A Prediction Method of DNA-Binding Proteins Basedon Evolutionary Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418

Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu,and Hongmei Huang

Research on RNA Secondary Structure Prediction Basedon Decision Tree. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 430

Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, and Yijie Ding

Improving Hot Region Prediction by Combining Gaussian NaiveBayes and DBSCAN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440

Jing Hu, Longwei Zhou, Xiaolong Zhang, and Nansheng Chen

An Efficient LightGBM Model to Predict Protein Self-interactingUsing Chebyshev Moments and Bi-gram . . . . . . . . . . . . . . . . . . . . . . . . . . 453

Zhao-Hui Zhan, Zhu-Hong You, Yong Zhou, Kai Zheng,and Zheng-Wei Li

Combining Evolutionary Information and Sparse Bayesian ProbabilityModel to Accurately Predict Self-interacting Proteins. . . . . . . . . . . . . . . . . . 460

Yan-Bin Wang, Zhu-Hong You, Hai-cheng Yi, Zhan-Heng Chen,Zhen-Hao Guo, and Kai Zheng

xxiv Contents – Part II

Identification of DNA-Binding Proteins via Fuzzy MultipleKernel Model and Sequence Information . . . . . . . . . . . . . . . . . . . . . . . . . . 468

Yijie Ding, Jijun Tang, and Fei Guo

Research on HP Model Optimization Method Basedon Reinforcement Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480

Zhou Fengli and Lin Xiaoli

EnsembleKQC: An Unsupervised Ensemble Learning Methodfor Quality Control of Single Cell RNA-seq Sequencing Data . . . . . . . . . . . 493

Anqi Ma, Zuolang Zhu, Meiqin Ye, and Fei Wang

Regulatory Sequence Architecture of Stress Responsive Genesin Oryza Sativa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505

Mohsin Ali Nasir, Samia Nawaz, Farrukh Azeem, and Sajjad Haider

Identifying Cancer Biomarkers from High-Throughput RNA SequencingData by Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517

Zishuang Zhang and Zhi-Ping Liu

Identification of Prognostic and Heterogeneous Breast Cancer BiomarkersBased on Fusion Network and Multiple Scoring Strategies . . . . . . . . . . . . . . 529

Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu, and Min Li

A Novel Differential Essential Genes Prediction Method Basedon Random Forests Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535

Jiang Xie, Jiamin Sun, Jiaxin Li, Fuzhang Yang, Haozhe Li,and Jiao Wang

Identification of Candidate Biomarkers and Pathways Associatedwith Liver Cancer by Bioinformatics Analysis . . . . . . . . . . . . . . . . . . . . . . 547

Zhen-Bo Tian and Xu-Qing Tang

Real-Time Pedestrian Detection in Monitoring Scene Basedon Head Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 558

Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen,and Bing Wang

CNN and Metadata for Classification of Benignand Malignant Melanomas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 569

José-Sergio Ruiz-Castilla, Juan-José Rangel-Cortes,Farid García-Lamont, and Adrián Trueba-Espinosa

An Application of Using Support Vector Machine Basedon Classification Technique for Predicting Medical Data Sets . . . . . . . . . . . . 580

Mohammed Khalaf, Abir Jaafar Hussain, Omar Alafandi,Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood Alsaadi,Omar A. Dawood, and Dhafar Hamed Abd

Contents – Part II xxv

Fully Convolutional Neural Networks for 3D Vehicle DetectionBased on Point Clouds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592

Lihua Wen and Kang-Hyun Jo

Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier . . . . . . 602Aapan Mutsuddy, Kaushik Deb, Tahmina Khanam, and Kang-Hyun Jo

Graph-SLAM Based Hardware-in-the-Loop-Simulation for UnmannedAerial Vehicles Using Gazebo and PX4 Open Source . . . . . . . . . . . . . . . . . 615

Khoa Dang Nguyen, Trong-Thang Nguyen, and Cheolkeun Ha

Evaluating CNNs for Military Target Recognition . . . . . . . . . . . . . . . . . . . . 628Xiao Ding, Lei Xing, Tao Lin, Jiabao Wang, Yang Li, and Zhuang Miao

Detection and Segmentation of Kidneys from Magnetic ResonanceImages in Patients with Autosomal Dominant Polycystic Kidney Disease . . . . 639

Antonio Brunetti, Giacomo Donato Cascarano, Irio De Feudis,Marco Moschetta, Loreto Gesualdo, and Vitoantonio Bevilacqua

Research of Formal Analysis Based on Extended Strand Space Theories . . . . 651Meng-meng Yao, Jun Zhang, and Xi Weng

The Application of Artificial Intelligence in Music Education . . . . . . . . . . . . 662Mingli Shang

Single-Machine Green Scheduling Problem of Multi-speed Machine . . . . . . . 669Ai Yang, Bin Qian, Rong Hu, Ling Wang, and Shang-Han Li

Whale Optimization Algorithm with Local Search for Open ShopScheduling Problem to Minimize Makespan . . . . . . . . . . . . . . . . . . . . . . . . 678

Hui-Min Gu, Rong Hu, Bin Qian, Huai-Ping Jin, and Ling Wang

Water Wave Optimization for the Multidimensional Knapsack Problem . . . . . 688Hong-Fang Yan, Ci-Yun Cai, De-Huai Liu, and Min-Xia Zhang

A Complex-Valued Firefly Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . 700Chuandong Song

Gene Expression Prediction Based on Hybrid Evolutionary Algorithm. . . . . . 708Haifeng Wang and Sanrong Liu

MPdeep: Medical Procession with Deep Learning . . . . . . . . . . . . . . . . . . . . 717Qi Liu, Wenzheng Bao, and Zhuo Wang

Predicting Potential Drug-Target Interactions with Multi-labelLearning and Ensemble Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726

Lida Zhu and Jun Yuan

xxvi Contents – Part II

Robust Circulating Tumor Cells Detection in Scanned MicroscopicImages with Cascaded Morphological and Faster R-CNN Deep Detectors . . . 736

Yun-Xia Liu, An-Jie Zhang, Qing-Fang Meng, Ying-Jie Chen,Yang Yang, and Yue-Hui Chen

Electrocardiogram Diagnosis Based on SMOTE+ENNand Random Forest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 747

Li Sun, Ziwei Shang, Qing Cao, Kang Chen, and Jiyun Li

Complex Leaves Classification with Features Extractor . . . . . . . . . . . . . . . . 758Daniel Ayala Niño, José S. Ruíz Castilla, Ma. Dolores Arévalo Zenteno,and Laura D. Jalili

IDP - OPTICS: Improvement of Differential Privacy Algorithmin Data Histogram Publishing Based on Density Clustering . . . . . . . . . . . . . 770

Lina Ge, Yugu Hu, Hong Wang, Zhonghua He, Huazhi Meng,Xiong Tang, and Liyan Wu

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 783

Contents – Part II xxvii

Contents – Part III

Flower Species Recognition System Combining Object Detection andAttention Mechanism. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Wei Qin, Xue Cui, Chang-An Yuan, Xiao Qin, Li Shang, Zhi-Kai Huang,and Si-Zhe Wan

A Person-Following Shopping Support Robot Based on Human PoseSkeleton Data and LiDAR Sensor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Md. Matiqul Islam, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi,and Yoshinori Kuno

A New Hybrid Calibration Method for Robot Manipulators by CombiningModel–Based Identification Technique and a Radial Basis Function–BasedError Compensation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Phu-Nguyen Le and Hee-Jun Kang

Smart Wheelchair Maneuvering Among People. . . . . . . . . . . . . . . . . . . . . . 32Sarwar Ali, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi,and Yoshinori Kuno

A Human-Robot Interaction System Based on Calling Hand Gestures . . . . . . 43Aye Su Phyo, Hisato Fukuda, Antony Lam, Yoshinori Kobayashi,and Yoshinori Kuno

A Welding Defect Identification Approach in X-ray Images Based on DeepConvolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53

Yuting Wang, Fanhuai Shi, and Xuefeng Tong

Person Re-identification Based on Feature Fusion . . . . . . . . . . . . . . . . . . . . 65Qiang-Qiang Ren, Wei-Dong Tian, and Zhong-Qiu Zhao

Exploiting Local Shape Information for Cross-ModalPerson Re-identification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74

Md. Kamal Uddin, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi,and Yoshinori Kuno

Single and Multi-channel Direct Visual Odometry withBinary Descriptors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86

Brendan Halloran, Prashan Premaratne, Peter James Vial,and Inas Kadhim

Performance Evaluation of Faster R-CNN for On-Road Object Detectionon Graphical Processing Unit and Central Processing Unit . . . . . . . . . . . . . . 99

Tanvir Ahmad and Yinglong Ma

Research on Full Homomorphic Encryption Algorithm for Integerin Cloud Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109

Lijuan Wang, Lina Ge, Yugu Hu, Zhonghua He, Zerong Zhao,and Hangui Wei

Implementation of a Centralized Scheduling Algorithmfor IEEE 802.15.4e TSCH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118

Jules Pascal Gilles Rugamba, Dinh Loc Mai, and Myung Kyun Kim

Learning Automata-Based Solutions to the Multi-Elevator Problem . . . . . . . . 130O. Ghaleb and B. John Oommen

Developing System from Low-Cost Devices to Build a Securityand Fire System as a Part of IoT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142

Štefan Koprda, Zoltán Balogh, and Martin Magdin

Full-Order Sliding Mode Control Algorithm for Robot ManipulatorsUsing an Adaptive Radial Basis Function Neural Network . . . . . . . . . . . . . . 155

Anh Tuan Vo, Hee-Jun Kang, and Tien Dung Le

Continuous PID Sliding Mode Control Based on Neural Third OrderSliding Mode Observer for Robotic Manipulators . . . . . . . . . . . . . . . . . . . . 167

Van-Cuong Nguyen, Anh-Tuan Vo, and Hee-Jun Kang

Intelligent Bus Shunting Control System Based on Face Recognition. . . . . . . 179Xiaohang Li, Binggang Xiao, and Fan Yang

Tilt-Scrolling: A Comparative Study of Scrolling Techniques for MobileDevices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189

Chuanyi Liu, Chang Liu, Hao Mao, and Wei Su

Optimizing Self-organizing Lists-on-Lists Using Pursuit-OrientedEnhanced Object Partitioning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

O. Ekaba Bisong and B. John Oommen

Research on Location Prediction of Moving Objects Based on GreyMarkov Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213

Yanxia Yang and Bowen Ke

Mildew Prediction Model of Warehousing Tobacco Based on ParticleSwarm Optimization and BP Neural Network . . . . . . . . . . . . . . . . . . . . . . . 225

Zhixia Ye, Lijun Yun, Huijun Li, Jingchao Zhang, and Yibo Wang

Exploring the Pan-Relationship Between Disease and Symptom Relatedto Coronary Heart Disease from Chinese Electronic Medical Records . . . . . . 235

Ronggen Yang, Yichen Wang, Bo Wang, and Lejun Gong

xxx Contents – Part III

The Actuator and Sensor Fault Estimation Using Robust Observer BasedReconstruction for Mini Motion Package Electro-Hydraulic Actuator. . . . . . . 244

Tan Van Nguyen and Cheolkuen Ha

The Actuator Fault Estimation Using Robust Sliding Mode Observerfor Linear System Applied for Mini Motion PackageElectro-Hydraulic Actuator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257

Tan Van Nguyen and Cheolkuen Ha

A Fault Tolerant Strategy Based on Model Predictive Control for FullBidirectional Switches Indirect Matrix Converter. . . . . . . . . . . . . . . . . . . . . 271

Van-Tien Le and Hong-Hee Lee

Rotary Machine Fault Diagnosis Using Scalogram Imageand Convolutional Neural Network with Batch Normalization . . . . . . . . . . . 283

Duy Tang Hoang and Hee Jun Kang

Real Implementation of an Active Fault Tolerant Control Basedon Super Twisting Technique for a Robot Manipulator . . . . . . . . . . . . . . . . 294

Quang Dan Le and Hee-Jun Kang

Credibility Assessment of Complex Simulation Models Using CloudModels to Represent and Aggregate Diverse Evaluation Results . . . . . . . . . . 306

Xiaojun Yang, Zhongfu Xu, Rongmao He, and Fangxia Xue

Dual Sparse Collaborative Matrix Factorization Method Based on GaussianKernel Function for Predicting LncRNA-Disease Associations . . . . . . . . . . . 318

Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li, and Jin-Xing Liu

Applying Support Vector Machine, C5.0, and CHAID to the Detectionof Financial Statements Frauds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327

Der-Jang Chi, Chien-Chou Chu, and Duke Chen

A New Manifold-Based Feature Extraction Method . . . . . . . . . . . . . . . . . . . 337Zhongbao Liu

lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using LongShort-Term Memory Based on p-nts Encoding . . . . . . . . . . . . . . . . . . . . . . 347

Jun Meng, Zheng Chang, Peng Zhang, Wenhao Shi, and Yushi Luan

Prediction of Plant lncRNA-Protein Interactions Using SequenceInformation Based on Deep Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358

Haoran Zhou, Yushi Luan, Jael Sanyanda Wekesa, and Jun Meng

Predicting of Drug-Disease Associations via Sparse Auto-Encoder-BasedRotation Forest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369

Han-Jing Jiang, Zhu-Hong You, Kai Zheng, and Zhan-Heng Chen

Contents – Part III xxxi

A Novel Compression Algorithm for Hardware-Oriented Gradient BoostingDecision Tree Classification Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381

Xiao Wang, Yafei Li, Yinqi Li, and Kuizhi Mei

MISSIM: Improved miRNA-Disease Association Prediction Model Basedon Chaos Game Representation and Broad Learning System . . . . . . . . . . . . 392

Kai Zheng, Zhu-Hong You, Lei Wang, Yi-Ran Li, Yan-Bin Wang,and Han-Jing Jiang

Univariate Thiele Type Continued Fractions Rational Interpolationwith Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399

Le Zou, Liang-Tu Song, Xiao-Feng Wang, Qian-Jing Huang,Yan-Ping Chen, Chao Tang, and Chen Zhang

Data Science Approaches for the Analysis of Animal Behaviours . . . . . . . . . 411Natasa Kleanthous, Abir Hussain, Alex Mason, and Jennifer Sneddon

An Algorithm of Bidirectional RNN for Offline Handwritten ChineseText Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423

Xinfeng Zhang and Kunpeng Yan

A Novel Concise Representation of Frequent Subtrees Based on Density . . . . 432Weidong Tian, Chuang Guo, Yang Xie, Hongjuan Zhou,and Zhongqiu Zhao

Ranking Research Institutions Based on the Combination of Individualand Network Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443

Wenyan Wang, Guangyu Wang, Jun Zhang, Peng Chen, and Bing Wang

Chinese Temporal Expression Recognition Combining Ruleswith a Statistical Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455

Mengmeng Huang, Jiazhu Xia, Xianyu Bao, and Gongqing Wu

An Optimization Regression Model for Predicting Average Temperatureof Core Dead Stock Column. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 468

Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang,Peng Chen, and Bing Wang

A Selection Method for Denoising Auto Encoder FeaturesUsing Cross Entropy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479

Jie Cai, Wei Huang, Sheng Yang, Shulin Wang, and Jiawei Luo

Data Lineage Approach of Multi-version Documents Traceabilityin Complex Software Engineering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491

Fan Yang, Jun Liu, and Yi-wen Liang

xxxii Contents – Part III

Resource Efficiency Optimization for Big Data Mining Algorithmwith Multi-MapReduce Collaboration Scenario . . . . . . . . . . . . . . . . . . . . . . 503

Zhou Fengli and Lin Xiaoli

A Fuzzy Constraint Based Outlier Detection Method . . . . . . . . . . . . . . . . . . 515Vasudev Sharma, Abhinav Nagpal, and Balakrushna Tripathy

Chinese Agricultural Entity Relation Extraction via Deep Learning . . . . . . . . 528Kai Zhang, Chuan Xia, Guoliang Liu, Wenyu Wang, Yunzhi Wu,Youhua Zhang, and Yi Yue

Dimensions Effect in Word Embeddings of Knowledge Graph . . . . . . . . . . . 535Qinhua Huang and Weimin Ouyang

Short Text Mapping Based on Fast Clustering Using MinimumSpanning Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545

Pingrong Li

Missing Data Imputation for Operation Data of Transformer Basedon Functional Principal Component Analysis and Wavelet Transform . . . . . . 555

Jiafeng Qin, Yi Yang, Zijing Hong, and Hongyi Du

Periodic Action Temporal Localization Method Based on Two-PathArchitecture for Product Counting in Sewing Video . . . . . . . . . . . . . . . . . . 568

Jin-Long Huang, Hong-Bo Zhang, Ji-Xiang Du, Jian-Feng Zheng,and Xiao-Xiao Peng

Investigating the Capability of Agile Processes to Support MedicalDevices Regulations: The Case of XP, Scrum, and FDD with EUMDR Regulations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 581

Mohmood Alsaadi, Alexei Lisitsa, Mohammed Khalaf,and Malik Qasaimeh

Age Group Detection in Stochastic Gas Smart Meter DataUsing Decision-Tree Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 593

William Hurst, Casimiro A. Curbelo Montanez, and Dhiya Al-Jumeily

Non-directional Learning Strategy Particle Swarm Optimization Algorithm. . . 606Zhi Ye, Cong Li, Yingshi Liang, Zhexin Chen, and Lijing Tan

An Improved Social Learning Particle Swarm Optimization Algorithmwith Selected Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617

Haoruo Hu, Ming Chen, Xi Song, E. T. Chia, and Lijing Tan

An Integrated Classification Algorithm Using Forecasting ProbabilityStrategies for Mobile App Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629

Jingyuan Cao, Hong Wang, and Mo Pang

Contents – Part III xxxiii

An Improved PSO Algorithm with an Area-Oriented Learning Strategy . . . . . 640Tengjun Liu, Jinzhuo Chen, Yuelin Rong, Yuting Zheng, and Lijing Tan

An Improved PSO Algorithm with Migration Behavior and AsynchronousVarying Acceleration Coefficient. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651

Shukun Jiang, Jingzhou Jiang, Canhua Zheng, Yunyu Liang,and Lijing Tan

Data Clustering Using the Cooperative Search Based ArtificialBee Colony Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660

Chen Guo, Heng Tang, Chang Boon Patrick Lee, and Ben Niu

Feature Selection Using a Reinforcement-Behaved BrainStorm Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672

Ben Niu, Xuesen Yang, and Hong Wang

Shuffle Single Shot Detector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682Yangshuo Zhang, Jiabao Wang, Zhuang Miao, Yang Li,and Jixiao Wang

Feasibility of a Non-immersive Virtual Reality Training on FunctionalLiving Skills Applied to Person with Major Neurocognitive Disorder . . . . . . 692

Simonetta Panerai, Valentina Catania, Francesco Rundo,Vitoantonio Bevilacqua, Antonio Brunetti, Claudio De Meo,Donatella Gelardi, Claudio Babiloni, and Raffaele Ferri

Design and Development of a Robotic Platform Based on VirtualReality Scenarios and Wearable Sensors for Upper Limb Rehabilitationand Visuomotor Coordination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 704

Stefano Mazzoleni, Elena Battini, Domenico Buongiorno,Daniele Giansanti, Mauro Grigioni, Giovanni Maccioni,Federico Posteraro, Francesco Draicchio, and Vitoantonio Bevilacqua

Depth-Awareness in a System for Mixed-Reality AidedSurgical Procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 716

Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Juergen Wallner,Jan Egger, and Vitoantonio Bevilacqua

An Innovative Neural Network Framework for Glomerulus ClassificationBased on Morphological and Texture Features Evaluated in HistologicalImages of Kidney Biopsy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 727

Giacomo Donato Cascarano, Francesco Saverio Debitonto,Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno,Irio De Feudis, Andrea Guerriero, Michele Rossini, Francesco Pesce,Loreto Gesualdo, and Vitoantonio Bevilacqua

xxxiv Contents – Part III

Evaluating Generalization Capability of Bio-inspired Modelsfor a Myoelectric Control: A Pilot Study . . . . . . . . . . . . . . . . . . . . . . . . . . 739

Cristian Camardella, Michele Barsotti, Luis Pelaez Murciego,Domenico Buongiorno, Vitoantonio Bevilacqua, and Antonio Frisoli

A Survey on Deep Learning in Electromyographic Signal Analysis . . . . . . . . 751Domenico Buongiorno, Giacomo Donato Cascarano, Antonio Brunetti,Irio De Feudis, and Vitoantonio Bevilacqua

Occluded Object Classification with Assistant Unit . . . . . . . . . . . . . . . . . . . 762Qing Tang, Youlkyeong Lee, and Kanghyun Jo

Water Wave Optimization for Flow-Shop Scheduling . . . . . . . . . . . . . . . . . 771Jia-Yu Wu, Xue Wu, Xue-Qin Lu, Yi-Chen Du, and Min-Xia Zhang

The Implementation of Pretrained AlexNet on PCG Classification. . . . . . . . . 784Haya Alaskar, Nada Alzhrani, Abir Hussain, and Fatma Almarshed

Power Supply and Its Expert System for Cold Welding of Aluminumand Magnesium Sheet Metal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 795

Liling Zhang, Bing Li, and Jianxiong Ye

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 805

Contents – Part III xxxv