{"title":"KICSS 2018 Cover Page","authors":"","doi":"10.1109/kicss45055.2018.8950610","DOIUrl":"https://doi.org/10.1109/kicss45055.2018.8950610","url":null,"abstract":"","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115270869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Design of Meta-Strategy that Can Obtain Higher Negotiating Efficiency","authors":"Xun Tang, Ahmed Moustafa, Takayuki Ito","doi":"10.1109/KICSS45055.2018.8950523","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950523","url":null,"abstract":"Given the growing interest in automated negotiation, the search for effective strategies has produced a variety of different negotiation agents. In this regard, the Automated Negotiating Agents Competition(ANAC) is being held annually since 2010. The ANAC is an international competition that promotes researchers to design intelligent agents that are able to operate effectively in several kinds of scenarios. In this competition, researchers analyze the negotiating agents from several perspectives including utility, social welfare, distance to Nash solution, distance to Pareto efficiency and so on. Most of these analyses are based on the negotiation results. In fact, the efficiency of the negotiation process greatly affects the negotiation results. In our previous work, we introduced a metric that is able to evaluate the efficiency of the negotiation process. In this paper, we propose a novel meta-strategy that utilizes this metric in order to obtain higher negotiating efficiency.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115994296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Development of an Ontology-based Personalised Web from Rice Knowledge Website","authors":"T. Ruangrajitpakorn, Charun Prombut, T. Supnithi","doi":"10.1109/KICSS45055.2018.8950556","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950556","url":null,"abstract":"This paper presents a method to modify static content-based website to a personalised web using an ontology as intermediary. Complex knowledge in the content-based website is engineered to ontology schema. With the ontology to represent knowledge schema, web pages are treated as instances to the categorical concepts. The properties in the ontology are to provide specification of textual details of the page. With a few simple initial questions, personal information is acquired to define relevant contents exclusively for individual user. In this work, the case study is a development of personalised rice farming content website. The developed personalised web is designed to filter relevant pages matched to user and to form a link between webpages following ontology schema for assisting tacit relation from the original site. The experiment shows that the personalised web performed better than the original in terms of ease of content navigation and providing relations of tacit knowledge level as users spent less time in query. Moreover, users were satisfied with the exclusive content for individual with the 4.43 satisfaction score in a scale in range of 1 to 5.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122721499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Weather Scenario Generation Game","authors":"B. Neupane, Nguyen Duy Hung, T. Horanont","doi":"10.1109/KICSS45055.2018.8950625","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950625","url":null,"abstract":"The unavailability of seasonal weather data at the simulation time (often beginning of a growth season) forces decision makers in crop growth assessment to consider multiple weather scenarios, which are often generated from longtime observed data. Ironically these scenarios immediately become “outdated” as soon as the season begins, because they are always different from newly observed data. In this paper, we investigate this dilemma and in particular address three questions: determination of most successful scenario, classification of scenarios into fresh and stale, and generation of a new scenario from fresh scenarios. Algorithms to solve these questions are given as strategies for prediction games of weather generators. We also elaborate on the applications of our results in networking existing weather generation web services.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122503048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Varithdhorn Kalpiyapan, P. Aimmanee, S. Makhanov, Sakchai Wongsakittirak, Navapol Karnchanaran
{"title":"An Automatic System to Detect Exudates in Mobile-Phone Fundus Images for DR Pre-screening","authors":"Varithdhorn Kalpiyapan, P. Aimmanee, S. Makhanov, Sakchai Wongsakittirak, Navapol Karnchanaran","doi":"10.1109/KICSS45055.2018.8950581","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950581","url":null,"abstract":"Diabetic Retinopathy (DR) is an eye disease blamed to be a major cause of vision loss. However, this worst outcome is preventable if a patient is detected at the early stage. In this work, we make a system that detects an exudate which is one of abnormality signs of DR. The system is designed to work specifically on retinal images obtained from a mobile-phone with a portable retinal lens.Our system can achieve a true positive rate and accuracy are up to 96% and 82%, respectively. High accuracy, quick processing, portabililty, ease of use, and economy are main advantages of this system that are potentially accelerate pre-screening rate.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"707 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123837078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving Plant Recognition using Hybrid features from Connectionist and Knowledge-Based Approaches","authors":"Benjaphan Sommana, T. Theeramunkong","doi":"10.1109/KICSS45055.2018.8950646","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950646","url":null,"abstract":"Many connectionist approaches get promising result but lack of knowledge. In this paper, we proposed architecture that combined knowledge-based approach to improve the accuracy of plant recognition. Towards this, hybrid features are constructed by merging three types of knowledge-based features; morphological feature, texture feature and color feature with convolutional neural network extracted features. Our architecture consists of three main stages which are data pre-processing, feature extraction and classification. Before features are extracted, images will be resized and augmented in the pre-processing stage. To classify the species of leaf, we consider decision tree and artificial neural network as a classifier. We experiment on two datasets; Flavia and Swedish dataset. The experimental result shows that the proposed architecture can predict unseen images correctly more than existing models.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114714218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment Evaluation by Combining Comment and Word Mutual Evaluation Method and LSTM Evaluation Method in Lecture Questionnaire","authors":"Nobuyuki Kobayashi, Hiromitsu Shiina, Takafumi Otani","doi":"10.1109/KICSS45055.2018.8950669","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950669","url":null,"abstract":"Many universities give free-description question-naires to students to obtain feedback on faculty development (FD). When this is done, a proper analysis of the students’ comments is necessary. The number of comments from the free description that can be acquired for the FD activities is often not very large. To evaluate a small amount of data with approximately 1500 comments here needs to be some improvement in the currently available evaluation methods. In this study, we propose a probability distribution for the evaluation. We also propose a method for mutually evaluating the words and the comments long with the LSTM evaluation method by using neural networks. However, these methods seem to have differences in accuracies between the estimated values of the closed tests and the unrated comments. Therefore, we apply two methods to the bootstrap method to estimate the unrated comments; we also propose a method to incorporate the comments into our solution.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126519412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Block Sweetie: Learning Web Application Development by Block Arrangement","authors":"Motoki Miura","doi":"10.1109/KICSS45055.2018.8950653","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950653","url":null,"abstract":"In order to build a Web application, understanding of the programming language, databases, SQL, and HTTP is indispensable. We had proposed a PHP-based framework that can facilitate understanding of these concepts and reduce burdens of web applications development for novice learners. However, the novice learner had troubles with syntax errors caused by mistypes. To relief the anxiety of text editing, we have developed Block Sweetie that introduces block-programming editor for the proposed framework. The visual representation and the intuitive operations on block arrangements prevent troubles of input errors and mistypes. We have designed Block Sweetie with “switch and observe” approach, which reduces extra burdens such as saving files and reloading pages. Therefore, novice learners can efficiently perform trial and errors. We have also prepared sample block programs that help novice learners to understand related topics and technologies in a short time. From our preliminary experimental lecture, we found that Block Sweetie was effective for understanding differences of HTTP methods.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132724342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intermodal network design in freight transportation systems","authors":"T. Le, Suchada Rianmora, Panitan Kewcharoenwong","doi":"10.1109/KICSS45055.2018.8950621","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950621","url":null,"abstract":"This paper presents a study on intermodal transportation network design problem. The problem is to minimize the total of fixed facility location cost, the transportation cost, the transfer cost, the emission cost, while at the same time, satisfies customer demand, the flow conservation over different transportation mode, the terminal capacity, the vehicle minimum utilization, and the percentage circuitry constraints. The mixed-integer programming model is developed and analyzed with data from the south of Vietnam. The transportation mode of consideration is truck and inland waterway. Results indicate that the intermodal transportation model can reduce the total cost significantly when compared to the unimodal model.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117032631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Named Entity Sentiment Classifications using Peripheral Words and Dependencies in Online Discussions","authors":"T. Ando, K. Fujita","doi":"10.1109/KICSS45055.2018.8950648","DOIUrl":"https://doi.org/10.1109/KICSS45055.2018.8950648","url":null,"abstract":"The sentiment classification method of posts and sentences have been proposed in several online discussion forums. However, large-town online meetings require new methods to determine the sentiment polarity of each keyword because several topics are discussed simultaneously. We propose a sentimental classification method for each named entity in various online discussion forums. We employ machine learning for the web discussion corpus and sentiment lexicon that we have developed. We define three features that focus on the peripheral words of the named entities and on the modification structures. Our experimental results exhibit that the features of the peripheral and modification structure improve the f1-score as compared with the baseline of the f1-score.","PeriodicalId":142236,"journal":{"name":"2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131020690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}