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iSAI-NLP 2019, October 30-31 and November 1, 2019Welcome Message from the iSAI-NLP 2019Program ChairsOn behalf of the Technical Program Committee, we arepleased to welcome you to the 2019 edition ofInternational Joint Symposium on Artificial Intelligenceand Natural Language Processing (iSAI-NLP). iSAI-NLP2019 is the fourteenth conference in the series of theinternational symposium on NLP (SNLP) started in 1993.This year, it is held in Chiang Mai, Thailand from October30th to November 1st in conjunction with the 1stInternational Exhibition of Inventions of Thailand 2019(IEIT 2019). We hope the participants of both events, iSAI-NLP andIEIT, to have a great time for intellectual exchange in Chiang Mai.iSAI-NLP 2019 has 5 tracks namely NLP; Robotic, IoT andEmbedded System; Data Analytic and Machine Learning; Signal,Image and Speech Processing; Smart Industrial Technologies. Wehave received 79 submissions from various countries includingThailand, India, The Philippines, USA, China, Bangladesh, and Japan.All the submissions are rigorously reviewed by at least threeanonymous reviewers, and finally we have accepted 69 submissions;49 regular papers and 20 short papers. This builds up to 88%acceptance rate. To this end, we would like to express our gratitude toall reviewers that spent their valuable time reviewing and evaluatingthe submitted papers.This year, we are pleased to have three interesting keynote speakersnamely Associate Professor CharturongTantibundhit, Dr. RyotaYamanaka and Professor Hiroaki Ogata. We are honored by theirpresence. We would also like to express our sincere gratitude to ourhonorary co-chairs Professor Vilas Wuwongse, Professor YoshinoriSagisaka, Assistant Professor ChairitSiladech and Professor NicolaiPetkov. The organization of this conference would be different12

iSAI-NLP 2019, October 30-31 and November 1, 2019without their invaluable advice and support. Furthermore, we wouldlike to show our appreciation to the iSAI-NLP team that worked hardto organize this conference. This includes our general co-chairs,Professor ThanarukTheeramunkong, Dr. ThepchaiSupnithi, and Dr.Kiyota Hashimoto; publication co-chairs, ThodsapornChay-intr,JiragornChalermdit, and NawaratWittayakhom; technical programschairs of all tracks; the organizing committee members, internationalcommittee members, financial co-chairs, and secretary generals.Moreover, we would like to thank our hosts, co-hosts, and local-host:Artificial Intelligence Association of Thailand and),Thammasat University (TU, Thailand), Sirindhorn InternationalInstitute of Technology (SIIT, TU, Thailand), Mahidol University(MU, Thailand), National Electronics and Computer TechnologyCenter (NECTEC, Thailand), and Center of Excellence in CommunityHealth Informatics, Chiang Mai University (CMU, Thailand). Inaddition, we would like to thank all sponsors for their generoussupport.Last but not least, we would like to express our greatest gratitude toall the authors who have submitted their valuable works, to those whojoin the conference and to all other iSAI-NLP participants. Thank youfor your effort, for your time, and kindness.October 2019The iSAI-NLP 2019 Program Co-ChairsSanparithMarukatat(National Electronics and Computer Technology Center, Thailand)ItsuoKumazawa(Tokyo Institute of Technology, Japan)13

iSAI-NLP 2019, October 30-31 and November 1, 2019Welcome Message from the iSAI-NLP 2019Organizing CommitteesIt is our great honor that the 14th International JointSymposium on Artificial Intelligence and NaturalLanguage Processing (iSAI-NLP 2019) at the KantaryHills Hotel, Chiang Mai, Thailand during October 30November 1, 2019. The iSAI-NLP 2019 will trigger anopportunity for professors, researchers, practitioners,junior researchers, and students to exchange ideas,methods, insights, and current research progresses.Hosted by MubanChombuengRajabhat University withgreat support from Artificial Intelligence Association of Thailand(AIAT).The response to our initial call for paper was overwhelming withmore than 80 papers submitted from 12 countries. After rigorousreview of all the papers by at least three expert reviewers each, 48papers were accepted for presentation with an acceptance ratio ofabout 60 percent. We have organized the program into a number oftechnical sessions, keynote presentations, and tutorials. The technicalsessions cover a wide range of topics related to natural languageprocessing, robotics, IoTand embedded system, data analytics andmachine learning, signal, image and speech processing and smartindustrial technologies.The conference will be preceded by four major tutorials on October30. The first tutorial will be given by Prof.Dr. Hiroaki Ogata, on―Connecting formal and informal learning through learning evidenceand analytics framework.‖ while the second tutorial will be given byDr. Ryota Yamanaka, from Oracle Corporation, Thailand, on "DNAsequence analysis and its reproducible platform, Network analysis andsemantic technologies".The Third is given by Prof.Dr.Itsuo Kamazawa,14

iSAI-NLP 2019, October 30-31 and November 1, 2019on ―Evaluation of deep learning techniques for detecting lesion areasin MRI and X ray images,‖and the last will be given by AssistantProfessorDr.CharturongTantibundhit, on "Artificial Intelligence forMedical Screening: Research and Innovation in Low-resourceSettings".As chair of the organizing committee, we would like to express oursincere appreciation to all committeemembers, presenters, reviewers,organizing teams, including secretariesand staffs, for their dedicationand hard work behind the scene tomake this a truly successfulinternational conference. We sincerely hopethat all of you enjoy thisremarkable event. We look forward to seeingand discussing with youat the iSAI-NLP 2019.October 2019The iSAI-NLP 2019 Organizing Co-ChairsChairitSiladesh(MubanChombuengRajabhat University)ThepchaiSupnithi(National Electronics and Computer Technology Center, Thailand)15

iSAI-NLP 2019, October 30-31 and November 1, 2019iSAI-NLP 2019 Organization CommitteesHonorary Co-ChairMartin Hobelsbergerthe Munich University ofApplied Sciences, GermanyVilas WuwongseSakonNakhonRajabhatUniversity, ThailandYoshinori SagisakaWaseda University, JapanTechnical Program ChairsTrack 1Chairit SiladechMubanChombuengRajabhatUniversity, ThailandPrachya BoonkwanNational Electronics andComputer Technology Center,ThailandNicolai PetkovUniversity of Groningen,NetherlandsAw Ai TiInstitute for Infocomm Research,SingaporeConference-ChairRachada KongkachandraThammasat University, ThailandThanaruk TheeramunkongSIIT, Thammasat University,ThailandYe Kyaw ThuNational Electronics andComputer Technology Center,ThailandThepchai SupnithiNational Electronics andComputer Technology Center,ThailandTrack 2Kiyota HashimotoPrince of Songkla University,ThailandMahasak KetchamKing Mongkut's University ofTechnology North Bangkok,ThailandProgram Co-ChairMichael PechtUniversity of Maryland, UnitedStates of AmericaSanparith MarukatatNational Electronics andComputer Technology Center,ThailandThaweesak YingthawornsukKing Mongkut's University ofTechnology Thonburi, ThailandItsuo KumazawaTokyo Institute of Technology,Japan16

iSAI-NLP 2019, October 30-31 and November 1, 2019Track 3Advisory CommitteeWorawut YimyamPhetchaburiRajabhat University,ThailandAijun AnYork University, CanadaOrganizing CommitteeNatsuda KaothanthongSIIT, Thammasat University,ThailandChutima BeokhaimookRangsit University, ThailandOlarikSurintaMahasarakham University,ThailandChoochart HaruechaiyasakNational Electronics andComputer Technology Center,ThailandKonlakorn WongpatikasereeMahidol University, ThailandTrack 4Narit HnoohomMahidol University, ThailandKritchana WongratPhetchaburiRajabhat University,ThailandAnuchit JitpattanakulKing Mongkut 's University ofTechnology North Bangkok,ThailandKritsada SriphaewRangsit University, ThailandPokpong SongmuangThammasat University, ThailandNgoc Hong TranUniversity College Dublin,IrelandNattapong TongtepPrince of Songkla University,ThailandSakorn MekruksavanichUniversity of Phayao, ThailandSasiporn UsanavasinSIIT, Thammasat University,ThailandThach-Thao Nguyen DuongUniversity of Burgundy, FranceTrack 5Sumeth YuenyongMahidol University, ThailandNarumol ChumuangMubanChombuengRajabhatUniversity, ThailandThaweesak YingthawornsukKing Mongkut's University ofTechnology Thonburi, ThailandSumate LipirodjanapongMubanChombuengRajabhatUniversity, ThailandWimol San-UmThai-Nichi University, ThailandSupakrit SukjarernMubanChombuengRajabhatUniversity, ThailandWiwit SuksangaramPhetchaburiRajabhat University,Thailand17

iSAI-NLP 2019, October 30-31 and November 1, 2019International CommitteeLocal Organizing CommitteeAtsuo YoshikataJapan Advanced Institute ofScience and Technology, JapanEkkarat BoonchaimgChiang Mai University, ThailandColin De La HigueraUniversity of Nantes, FranceRachasak SomyanontanakulRangsit University, ThailandCristina TirnaucaUniversity of Cantabria, SpainRungphailin SukriwanatMubanChombuengRajabhatUniversity, ThailandPhilippe LencaIMT Atlantique, FranceTrung-Hieu HuynhVietnamese-German University,VietnamThanaree NumklinMubanChombuengRajabhatUniversity, ThailandThe-Bao PhamVietnam National University HoChi Minh City, VietnamUraiwan BuatoomBurapha University, ThailandPublication Co-ChairVorapon LuantangsrisukThammasat University, ThailandThodsaporn Chay-intrSIIT, Thammasat University,ThailandFinancial Co-ChairChoermath HongakkaraphanArtificial IntelligenceAssociation of Thailand,ThailandJiragorn ChalermditMubanChombuengRajabhatUniversity, ThailandNawarat WittayakhomMubanChombuengRajabhatUniversity, ThailandWirat ChinnanArtificial IntelligenceAssociation of Thailand,ThailandSecretary GeneralsNarumol ChumuangMubanChombuengRajabhatUniversity, ThailandWebmasterSuchathit BoonnagArtificial IntelligenceAssociation of Thailand,ThailandChoermath HongakkaraphanArtificial IntelligenceAssociation of Thailand,Thailand18

iSAI-NLP 2019, October 30-31 and November 1, 2019Phalakron NilkhetArtificial IntelligenceAssociation of Thailand,ThailandHost and Co-HostArtificial IntelligenceAssociation of Thailand AIAT,ThailandMubanChombuengRajabhatUniversityMCRU, ThailandCenter of Excellence inCommunity HealthInformatics, Chiang MaiUniversityCMU, ThailandSirindhorn InternationalInstitute of TechnologySIIT, Thammasat University,ThailandThammasat UniversityTU, ThailandMahidol UniversityMU, ThailandNational Electronics andComputer Technology CenterNECTEC, ThailandSupportersIEEE Thailand SectionThailand19

iSAI-NLP 2019, October 30-31 and November 1, 2019Keynote/Invited/Guest Speakers20

iSAI-NLP 2019, October 30-31 and November 1, 2019iSAI-NLP 2019keynote SpeakerProfessor. Dr. Hiroaki OgataProfessor, Academic Center for Computing and Media Studies, andthe Graduate School of Informatics, Kyoto UniversityTitle of the talk : Connecting formal and informal learning throughlearning evidence and analytics frameworkAbstract:The multi-disciplinary research approach of Learning Analytics (LA)has been providing methods to understand learning logs collectedduring varied teaching-learning activities and potentially enrich suchexperiences. However, LA is mainly focusing on formal learning inclassrooms. This talk will explain how technology can help to entwineformal and informal learning and to extract evidence of effectiveteaching-learning practices by applying LA and developing noveltechniques. It focuses discussions on realizing a technology enhancedevidence-based education and learning (TEEL) system. This talk willpropose the Learning Evidence Analytics Framework (LEAF) anddraw a research roadmap of an educational big data driven evidence21

iSAI-NLP 2019, October 30-31 and November 1, 2019based education system. Teachers can refine their instructionalpractices, learners can enhance learning experiences and researcherscan study the dynamics of the teaching-learning process with it. WhileLA platforms gather and analysis the data, there is the lack of aspecific design framework to capture the technology enhancedteaching-learning practices. Finally, this talk will present the esearch Interests : Learning Analytics, Educational data science,evidence-driven educationBibliography :Hiroaki Ogata is a Professor at the Academic Center for Computingand Media Studies, and the Graduate School of Informatics, KyotoUniversity, Japan. His research includes Computer SupportedUbiquitous and Mobile Learning, CSCL, CSCW, CALL, andLearning Analytics. He has published more than 300 peer-reviewedpapers including SSCI Journals and international conferences. He hasreceived several Best Paper Award and gave keynote lectures inseveral conferences.Contact Information:Prof. Dr. Hiroaki OgataAcademic Center for Computing and Media Studies,Graduate School of Informatics, Kyoto UniversityPhone: 81-75-753-9052Fax: 81-75-753-9053E-mail: hiroaki.ogata@gmail.com22

iSAI-NLP 2019, October 30-31 and November 1, 2019iSAI-NLP 2019 keynote SpeakerRyota YamanakaSenior Solutions Consultant (Big Data & Analytics),Oracle Corporation ThailandTitle of the talk : Graph Database for AIAbstract:Graph database is one of the emerging database management systems,whose data model is based on mathematical graph, consists of nodesand edges. Because of its capability to represent complex data, graphdatabase is expected to become a new data management platform inAI fields. In machine learning, since graph data is a rich data sourceto train predictive models, new methods are recently proposed to takegraph data as input of machine learning. Graph database providesgraph data for such algorithms as well as generates graph-basedfeatures for conventional algorithms. In semantic web, moreinformation has become available in the form of knowledge graphs.Graph database is suitable to populate such graph data keeping itssemantic information, and it enables us to run high-response queries23

iSAI-NLP 2019, October 30-31 and November 1, 2019as well as graph-based algorithms to analyze the data. In this talk, Iwill present the introduction of graph database and its usage in AIsystems. I will also discuss its actual use cases from industrialperspective.Keywords:Graph Database, Machine Learning, Semantic WebResearch Interests : DNA sequence analysis and its reproducibleplatform, Network analysis and semantic technologies.Bibliography:Dr. Ryota Yamanaka is a senior solutions consultant in big data &analytics at Oracle Corporation Thailand. He received his bachelor’sdegree in computer science from Tokyo Institute of Technology(2007), his master’s degree in bioinformatics from King's CollegeLondon (2011), and his PhD in genome science from The Universityof Tokyo (2015). He also worked as a database consultant for OracleCorporation Japan, during 2007 - 2010. His interest includesbioinformatics, database, and semantic web.Contact Information:Dr. Ryota YamanakaSolutions Consultant, Big Data and AnalyticsOracle Corporation ThailandE-mail: ryota.yamanaka@oracle.comPhone: 66-6-3373-592524

iSAI-NLP 2019, October 30-31 and November 1, 2019iSAI-NLP 2019 keynote SpeakerProfessor. Dr. Itsuo KamazawaLaboratory for Future Interdisciplinary Research of Science and Technology,Institute of Innovative Research Tokyo Institute of TechnologyTitle of the talk : Advanced in Human-Computer InterfaceAbstract:This talk is related to technologies for human interface with a fewdemonstrations. Thesetechnologies are applied to gaming includingserious games, virtual reality and any situation where human andmachine interaction is needed. Talks and demonstration withcollaborating students in the ultrafast image sensing to minimizelatency in generating feedback for virtual reality system. Compared tothe original method, the innovative device for image sensing thatcombines the ultrafast optical image sensor that is used in thecomputer mouse and the Leap Motion to detect the very quick motionof the human hand and the fingers. This technique is essential toimprove the reality and usability of virtual reality applications. Thetalk also includes brain machine interface to control machines or25

iSAI-NLP 2019, October 30-31 and November 1, 2019systems by brain activities, and haptic technologies with hapticsensing and feedback devices to provide realistic information. Severaldemos are provided to facilitate fruitful discussions on multimodalhuman-computer interfaces in gaming context.Keywords:Artificial Neural Networks, Human Interface, PatternRecognition, and Image ProcessingBibliography:ItsuoKumazawa received Bachelor of Engineering in Electrical andElectronic Engineering from Tokyo Institute of Technology (TIT) in1981, Master of Engineering, and Doctor of Engineering in ComputerScience from Tokyo Institute of Technology (TIT) in 1983, and 1986,respectively. In 1986, he started his academic career as AssistantProfessor in TIT, where he became Associate Professor in 1990.Currently, he is a Professor in the Institute of Innovative Research atTIT. Dr. Kumazawa has published research papers in the fields ofArtificial Neural Networks, Human Interface, Pattern Recognition,and Image Processing. He received grants from JSPS, JST and anumber of private funds. He is a member of IEICE, IPSJ, ITE andIEEE and received awards from these academic societies such as the―best demo award‖ in the IEEE virtual reality conference in 2013.Contact Information:Prof. Dr. ItsuoKamazawaImaging Science and Engineering Research CenterInformation Processing DepartmentTokyo Institute of TechnologyE-mail: kumazawa.i.aa@m.titech.ac.jp26

iSAI-NLP 2019, October 30-31 and November 1, 2019iSAI-NLP 2019 keynote SpeakerCharturong TantibundhitAssociate Professor (Department of Electrical and ComputerEngineering), Thammasat UniversityTitle of the talk : Artificial Intelligence for Medical Screening:Research and Innovation in Low-resource SettingsAbstract:Artificial Intelligence (AI) has been applied to a lot of medicalapplications especially for disease screening and diagnosis. Oneobjective is to support medical staffs especially in developingcountries, where medical experts and resources are very limited. As aresult, patients can have medical screening and can receive medicaltreatment on time reducing disability and loss of life. Our researchgroup, emphasized in AI in medicine, have collaborated oninterdisciplinary research and development of medical innovationsusing resources available in Thailand. Our ultimate goal is to facilitatephysicians, public health officers, and people in medical screening27

iSAI-NLP 2019, October 30-31 and November 1, 2019and diagnosis, focusing on the major diseases, e.g., stroke,Alzheimer’s, learning disability, diabetic retinopathy, aged-maculardegeneration, glaucoma, cytomegalovirus retinitis, cervical cancer,skin cancer, lung cancer, and tuberculosis that are affecting majoritypeople around the world. Based on our continuous dedication formore than 10 years, we have developed a lot of innovative medicalproducts with world class quality. These innovations have highimpacts resulting in the better quality of life of Thai people. Ourresearch work and innovat

Optical-based Limit Order Book Modelling using Deep Neural Networks 44 . iSAI-NLP 2019, October 30-31 and November 1, 2019 6 Hierarchical Attention Model for Acquiring Relationships Among . and Natural Language Processing (iSAI-NLP). iSAI-NLP 2019 is the fourteenth conference in the series of the internati