Artificial Intelligence on Fashion and Textiles: Proceedings of the Artificial Intelligence on Fashion and Textiles (AIFT) Conference 2018, Hong Kong, July 3–6, 2018 PDF
Preview Artificial Intelligence on Fashion and Textiles: Proceedings of the Artificial Intelligence on Fashion and Textiles (AIFT) Conference 2018, Hong Kong, July 3–6, 2018
Advances in Intelligent Systems and Computing 849 Editor Wai Keung Wong Artificial Intelligence on Fashion and Textiles Proceedings of the Artificial Intelligence on Fashion and Textiles (AIFT) Conference 2018, Hong Kong, July 3–6, 2018 Advances in Intelligent Systems and Computing Volume 849 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business,e-commerce,environment,healthcare,lifesciencearecovered.Thelistoftopicsspansallthe areasofmodernintelligentsystemsandcomputingsuchas:computationalintelligence,softcomputing includingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusionoftheseparadigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming,knowledge-based paradigms,learning paradigms,machineethics,intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligentnetworksecurity,trustmanagement,interactiveentertainment,Webintelligenceandmultimedia. Thepublicationswithin“AdvancesinIntelligentSystemsandComputing”areprimarilyproceedings ofimportantconferences,symposiaandcongresses.Theycoversignificantrecentdevelopmentsinthe field,bothofafoundationalandapplicablecharacter.Animportantcharacteristicfeatureoftheseriesis theshortpublicationtimeandworld-widedistribution.Thispermitsarapidandbroaddisseminationof researchresults. AdvisoryBoard Chairman NikhilR.Pal,IndianStatisticalInstitute,Kolkata,India e-mail:[email protected] Members RafaelBelloPerez,UniversidadCentral“MartaAbreu”deLasVillas,SantaClara,Cuba e-mail:[email protected] EmilioS.Corchado,UniversityofSalamanca,Salamanca,Spain e-mail:[email protected] HaniHagras,UniversityofEssex,Colchester,UK e-mail:[email protected] LászlóT.Kóczy,SzéchenyiIstvánUniversity,Győr,Hungary e-mail:[email protected] VladikKreinovich,UniversityofTexasatElPaso,ElPaso,USA e-mail:[email protected] Chin-TengLin,NationalChiaoTungUniversity,Hsinchu,Taiwan e-mail:[email protected] JieLu,UniversityofTechnology,Sydney,Australia e-mail:[email protected] PatriciaMelin,TijuanaInstituteofTechnology,Tijuana,Mexico e-mail:[email protected] NadiaNedjah,StateUniversityofRiodeJaneiro,RiodeJaneiro,Brazil e-mail:[email protected] NgocThanhNguyen,WroclawUniversityofTechnology,Wroclaw,Poland e-mail:[email protected] JunWang,TheChineseUniversityofHongKong,Shatin,HongKong e-mail:[email protected] Moreinformationaboutthisseriesathttp://www.springer.com/series/11156 Wai Keung Wong Editor fi Arti cial Intelligence on Fashion and Textiles fi Proceedings of the Arti cial Intelligence on Fashion and Textiles (AIFT) Conference – 2018, Hong Kong, July 3 6, 2018 123 Editor Wai Keung Wong Institute of Textiles andClothing TheHong Kong Polytechnic University Hunghom,Hong Kong ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems andComputing ISBN978-3-319-99694-3 ISBN978-3-319-99695-0 (eBook) https://doi.org/10.1007/978-3-319-99695-0 LibraryofCongressControlNumber:2018952621 ©SpringerNatureSwitzerlandAG2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinor for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Contents A Clothing Recommendation System Based on Expert Knowledge . . . . 1 TaoYang,JiaoFeng,JieChen,ChunyanDong,YouqunShiandRanTao Coordinated Optimization of Production and Delivery Operations in Apparel Supply Chains Using a Hybrid Intelligent Algorithm. . . . . . . . 9 Zhaoxia Guo, Jingjie Chen, Guangxin Ou and Haitao Liu Intelligent Cashmere/Wool Classification with Convolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Fei Wang, Xiangyu Jin and Wei Luo YarnQualityPredictionforSpinningProductionUsingtheImproved Apriori Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Xianhui Zeng and Pengcheng Xing Everybody Immersive Fashion_Human–Computer Interaction in VR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Kate Kennedy Fabric Defect Detection Based on Faster RCNN . . . . . . . . . . . . . . . . . . 45 Bing Wei, Kuangrong Hao, Xue-song Tang and Lihong Ren Woven Light: An Investigation of Woven Photonic Textiles . . . . . . . . . 53 Lan Ge, Jeanne Tan, Richard Sorger and Ziqian Bai A Piezoelectric Energy Harvester for Wearable Applications. . . . . . . . . 61 Wenying Cao, Weidong Yu and Wei Huang Surrogate-Based Modeling and Optimization of the Bleach Washing for Denim Fabrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 Wenbo Ke, Jie Xu, Ming Yang and Changhai Yi Costume Expert Recommendation System Based on Physical Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Aihua Dong, Qin Li, Qingqing Mao and Yuxuan Tang v vi Contents Cognitive Characteristics Based Autonomous Development of Clothing Style. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 Jiyun Li and Xiaodong Zhong Fabric Identification Using Convolutional Neural Network . . . . . . . . . . 93 Xin Wang, Ge Wu and Yueqi Zhong Discrete Hashing Based Supervised Matrix Factorization for Cross-Modal Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 Baodong Tang, Xiaozhao Fang, Shaohua Teng, Wei Zhang and Peipei Kang Sparse Discriminant Principle Component Analysis. . . . . . . . . . . . . . . . 111 Zhihui Lai, Mangqi Chen, Dongmei Mo, Xingxing Zou and Heng Kong New Product Design with Popular Fashion Style Discovery Using Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 Jiating Zhu, Yu Yang, Jiannong Cao and Esther Chak Fung Mei Challenges in Knitted E-textiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 Amy Chen, Jeanne Tan, Xiaoming Tao, Philip Henry and Ziqian Bai The CF+TF-IDF TV-Program Recommendation . . . . . . . . . . . . . . . . . . 137 Li Yan, Cui Jinrong, Xin Liu, Yu JiaHao and He Mingkai Minimize the Cost Function in Multiple Objective Optimization by Using NSGA-II. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 Hayder H. Safi, Tareq Abed Mohammed and Zena Fawzi Al-Qubbanchi Two-Layer Mixture Network Ensemble for Apparel Attributes Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 Tianqi Han, Zhihui Fu and Hongyu Li 3D Digital Modeling and Design of Custom-Fit Functional Compression Garment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 Rong Liu and Bo Xu Fine-Grained Apparel Image Recognition Based on Deep Learning . . . 171 Jia He, Xi Jia, Junli Li, Shiqi Yu and Linlin Shen Learning a Discriminative Projection and Representation for Image Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 Zuofeng Zhong, Jiajun Wen, Can Gao and Jie Zhou Fashion Outfit Style Retrieval Based on Hashing Method . . . . . . . . . . . 187 Yujuan Ding and Wai Keung Wong Supervised Locality Preserving Hashing. . . . . . . . . . . . . . . . . . . . . . . . . 197 Xiao Zhou, Zhihui Lai and Yudong Chen Contents vii Co-designing Interactive Textile for Multisensory Environments . . . . . . 205 H. Y. Kim, J. Tan and A. Toomey Parametric Stitching: Co-designing with Machines . . . . . . . . . . . . . . . . 213 Jenny Underwood Live: Scape BLOOM: Connecting Smart Fashion to the IoT Ecology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 Caroline McMillan Traps in Multisource Heterogeneous Big Data Processing . . . . . . . . . . . 229 Yan Liu Convolutional Neural Networks for Finance Image Classification . . . . . 237 Xingjie Zhu, Yan Liu, Xingwang Liu and Chi Li Rough Possibilistic Clustering for Fabric Image Segmentation . . . . . . . 247 Jie Zhou, Can Gao and Jia Yin Fashion Meets AI Technology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255 Xingxing Zou, Wai Keung Wong and Dongmei Mo Fashion Style Recognition with Graph-Based Deep Convolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Cheng Zhang, Xiaodong Yue, Wei Liu and Can Gao Fabric Defect Detection with Cartoon–Texture Decomposition . . . . . . . 277 Ying Lv, Xiaodong Yue, Qiang Chen and Meiqian Wang Fabric Texture Removal with Deep Convolutional Neural Networks. . . 285 Li Hou, Xiaodong Yue, Xiao Xiao and Wei Xu Optimal Gabor Filtering for the Inspection of Striped Fabric . . . . . . . . 291 Le Tong, Xiaoping Zhou, Jiajun Wen and Can Gao Robust Feature Extraction for Material Image Retrieval in Fashion Accessory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299 Yuyang Meng, Dongmei Mo, Xiaotang Guo, Yan Cui, Jiajun Wen and Wai Keung Wong Woven Fabric Defect Detection Based on Convolutional Neural Network for Binary Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307 Can Gao, Jie Zhou, Wai Keung Wong and Tianyu Gao Complex Textile Products and Reducing Consumer Waste . . . . . . . . . . 315 Colin Gale A Fast Parallel and Multi-population Framework with Single-Objective Guide for Many-Objective Optimization . . . . . . . . . . . 321 Haitao Liu, Weiwei Le and Zhaoxia Guo viii Contents Multiple Criteria Group Decision-Making Based on Hesitant Fuzzy Linguistic Consensus Model for Fashion Sales Forecasting . . . . . . . . . . 329 Ming Tang and Huchang Liao Probabilistic Linguistic Linear Least Absolute Regression for Fashion Trend Forecasting. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337 Lisheng Jiang, Huchang Liao and Zhi Li Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 347 A Clothing Recommendation System Based on Expert Knowledge TaoYang,JiaoFeng,JieChen,ChunyanDong,YouqunShiandRanTao Abstract Throughsummarizingexpertexperienceandknowledgeofclothing,the clothing recommendation system is developed based on a kind of clothing recom- mendationmethod.Accordingtocolormatchingrules,thismethodhasrefinedthe sixfactorsthataffectthecustomer’schoiceofclothing,establishtheclothingknowl- edgebaseandclarifytherecommendationrules.Consideringthecharacteristicsof thecustomersandtheselectioncriteria,thissystemcanmakepersonalizedclothing recommendationschemeforcustomersandensuretherationalityoftherecommen- dationresults. · · Keywords Expertsystem Clothrecommendation Knowledgebase 1 Introduction Withtheincreaseofindividualizedwearableconsciousness,clothingisnotonlythe basiclivingdemand,butalsotheimportantcarriertoenhanceself-tasteandimage. B T.Yang( )·J.Feng·J.Chen·C.Dong·Y.Shi·R.Tao DonghuaUniversity,Shanghai200051,China e-mail:[email protected] J.Feng e-mail:[email protected] J.Chen e-mail:[email protected] C.Dong e-mail:[email protected] Y.Shi e-mail:[email protected] R.Tao e-mail:[email protected] ©SpringerNatureSwitzerlandAG2019 1 W.K.Wong(ed.),ArtificialIntelligenceonFashionandTextiles, AdvancesinIntelligentSystemsandComputing849, https://doi.org/10.1007/978-3-319-99695-0_1
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