{"title":"Cutting plane method for the facility location problem with probabilistic constraints","authors":"A. Suzuki, Tomoki Fukuba, T. Shiina","doi":"10.1109/IIAI-AAI50415.2020.00142","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00142","url":null,"abstract":"This study shows the effectiveness of the cutting plane method by applying it to the facility location problem with probabilistic constraints. Probabilistic constraints are those that should be satisfied at a certain probabilistic level and can consider the uncertainty of the parameters involved in the problem. Problems with such probabilistic constraints are generally difficult to solve. Therefore, based on previous research, we consider transforming a problem with probabilistic constraints into a 0–1 mixed integer programming problem under special conditions. Thereafter, we introduce the cutting plane method using a valid inequality of the feasible region.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117183639","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 Purchasing Prediction Model Considering the Time Consumers Spend on a Site and Consumers Characteristics","authors":"Yuto Fukui, Tomoaki Tabata, Takaaki Hosoda","doi":"10.1109/IIAI-AAI50415.2020.00150","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00150","url":null,"abstract":"The consumer purchasing behavior model in marketing focuses on analyzing the factors that influence the consumer’s purchasing. However, it is not possible to analyze the consumer’s purchasing process, such as what the consumer thinks and what he or she thinks, using data such as real store POS data and demographic attributes, which are the explanatory variables used in the conventional model. On EC sites, it is possible to obtain data on the process of a consumer’s purchase, in addition to data that can only be generated from the result of the consumer’s purchase, so it is possible to model various purchasing behaviors.The purpose of this study is to construct a consumer purchasing behavior model that takes into account consumer characteristics, which can be expressed from the time consumers spend on the site and their pre-purchase behavior, and to determine the importance of the features used in the model, so that marketing strategies can be developed from the model.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710842","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":"Learning Support for Tactics Identification Skills in Team Sports by Gaze Awareness","authors":"Hiromu Naito, Kenji Matsuura, Shu Yano","doi":"10.1109/IIAI-AAI50415.2020.00048","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00048","url":null,"abstract":"In this study, we focus on basketball tactics identification skills and provide learning support. In previous research, we implemented and presented a system that automatically extracts scenes where predefined tactics are used in basketball games for understanding tactics and highlights them in animations. However, it is necessary for system users to properly recognize tactics and understand the situation, but it is difficult for the learners themselves to judge whether or not they have done them properly. Therefore, in this study, we developed a system that supports learning by using the gaze information of the learner as one of the objective indicator.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115889992","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 Study on the Applicable Methods of Flipped Classroom for Cross-Border Education","authors":"Nasen Chen, Yasuo Yamashita","doi":"10.1109/IIAI-AAI50415.2020.00072","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00072","url":null,"abstract":"Together with the advance of globalization, the internationalization of higher education is becoming more and more diverse. Cross-border, broad-based higher education associations is more complex than that of high school and university within the same country and poses more challenges in terms of quality assurance. On the other hand, with the recent development of ICT, Flipped Classroom, a form of education that utilizes e-learning, has been attracting attention in higher education in many countries, including Japan. Based on the results of a questionnaire survey to Japanese and Chinese university students and an analysis of case studies of pre-entrance education initiatives using e-learning, this paper discusses the possibilities and challenges for applicable methods to flipped classroom of pre-entrance education as an attempt to facilitate cross-border educational associations.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132351927","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":"Library Intelligent Book Recommendation System Using Facial Expression Recognition","authors":"Yizhu Zhao, Jun Zeng","doi":"10.1109/IIAI-AAI50415.2020.00021","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00021","url":null,"abstract":"To solve the problem of information overload, the recommendation system has developed in various fields. Faced with a variety of forms and rich masses of books, the book recommendation system based on various recommendation methods is applied in the library. In the traditional book recommendation system, there are some problems, such as single recommendation mode, lack of pertinence, too centralized recommended books and so on. In order to solve these problems, this paper proposes a personalized book recommendation system. Through user expression recognition to obtain user preferences, according to user preferences to recommend books to user. Facial expression recognition is realized by using convolution neural network model. This kind of recommendation method has real-time and authenticity. The book recommendation system based on facial expression recognition can improve users' sense of use when applied to library robots.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587676","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":"Convolutional Neural Networks on Multichannel Time Series of Smartphone Applications for Gender or Age Range Classification","authors":"Hiromi Kondo, Fumiyo N. Kondo","doi":"10.1109/IIAI-AAI50415.2020.00109","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00109","url":null,"abstract":"In this study, we developed a classification method for gender and age ranges using convolutional neural networks (CNNs). We trained an architecture using a time series of smartphone application-connecting durations and demographics of datasets containing gender and age ranges. The inputs were in the form of big data for all application categories of the time series, automatically collected from a single source panel of individuals with smartphones. The demographics of gender and age ranges were used for prediction. To identify the demographics of individuals, this study extracted effective features of mobile website access activities. We proposed a feature learning model from the raw inputs to solve the problem of classifying gender and age ranges using a deep convolutional neural network, which is an important but challenging task in digital marketing. For companies that can obtain only web application logs but not the demographics of gender and age ranges, this research may provide a possible solution that can be applied in digital marketing.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404288","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 the Effect of Exercise through Comparison of Real and Imitated Motion Images Produced by Artificial Intelligence","authors":"K. Kaneko, Yuki Sumita, Abo Mariko","doi":"10.1109/IIAI-AAI50415.2020.00111","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00111","url":null,"abstract":"We present an artificial intelligence application system to improve the skills of excise and human health. Captured video images of human exercise are processed so that the images imitates the trainer’s motion. We call such images \"imitated motion images\". We employed imitated motion images of a person to make it easier to imitate trainer’s exercises skills by the person. As an experiment for the evaluation of imitated motion images, we performed experiments with our collaborators. Then, we asked the collaborators for their opinions about real and imitated motion images. The results suggest that the imitated motion images are more effective. Because manual processing to produce imitated motion images is too much work, the existing technology, Pose2Pose, is used. When we tested multiple motion images of multiple person, we confirmed that about half of the images could be processed automatically, and it was also confirmed that the effect on the improvement of skills was achieved.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116073682","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":"Proposal of a Method Extracting Strategic Phrases from Japanese Enterprise Disclosure Documents","authors":"Shu Kawanami, Ken Hidema, K. Okada","doi":"10.1109/IIAI-AAI50415.2020.00106","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00106","url":null,"abstract":"Text mining is spreading in various domains due to remarkable computational capabilities and huge accumulation of digital data. However, application of text mining to enterprises' disclosure documents written in Japanese is still less common than application to SNS (Social Networking Service) messages or product reviews. In this study, we propose a new method to extract strategic phrases/words which potentially related to enterprises' various strategies, policies, initiatives, action plans, and so forth, as clue to understand the deep knowledge of business dynamic mechanism. The proposed method is able to extract strategic phrases/words from the various types of enterprises' disclosure documents written in Japanese, through the process which consists of steps as follows: (1) stratified morphological analysis; (2) classification of strategic phrases/words; (3) elimination of inadequate strategic phrases by employing dependency analysis; also (4) XBRL parsing and new sentences extraction for formal annual securities reports, as optional step. Moreover, it was demonstrated that the extracted results by the proposed method includes valuable strategic phrases/words.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124065846","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":"Classification of Posed Smiles and Spontaneous Smiles with LSTM","authors":"Tatsuki Matsumura, Hiroki Nomiya, T. Hochin","doi":"10.1109/IIAI-AAI50415.2020.00014","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00014","url":null,"abstract":"In recent years, the importance of smiles in communication has led to widespread research dealing with smiles. Attention has also been focused on discriminating posed and spontaneous facial expressions, suggesting that there is a difference in the movement of facial parts between posed and spontaneous smiles. In this paper, we focus on the fact that the time-series changes in facial expressions are important in the classification of smiles. We propose a method to classify posed smiles and spontaneous smiles by LSTM (Long short-term memory), which is often used for learning time series data. The classification result was 87.0%, indicating that it is useful to use LSTM to classify smiles.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115253655","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":"Text Entailment Generation with Attention-based Sequence-to-sequence Model","authors":"Xiaomei Zhao, H. Yanagimoto","doi":"10.1109/IIAI-AAI50415.2020.00029","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00029","url":null,"abstract":"Text entailment needs semantic similarity judgment between two sentences and is a good task to measure text understanding. If we realize entailment generation, we can apply it to summarization that keeps semantics between an original text and a generated text. These days, neural networks are employed to construct modules that encode an original text and generate summarization. In natural language processing, sequence-to-sequence models, which realize sequential learning, are employed to develop machine translation. Moreover, attention mechanism is proposed to improve machine translation considering word alignment between a source language and a target language. In this paper, we applied an attention-based sequence-to-sequence model to an entailment generation task and confirmed the system realized entailment generation. The proposed method can capture important words in the input text and generate a frequent sentence, which is grammatically correct and semantically appropriate. The results mean the proposed system understands a text semantically.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123441612","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}