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