Ayane Sato, Ayana Okazaki, Kyoko Yoshida, Kayo H. Iizuka
{"title":"The Influence of Instagram on Cosmetic Buying Behavior","authors":"Ayane Sato, Ayana Okazaki, Kyoko Yoshida, Kayo H. Iizuka","doi":"10.1109/IIAIAAI55812.2022.00108","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00108","url":null,"abstract":"Smartphones have become an indispensable part of our life. As a result, social networking services (SNS) have also increased their usage rate year by year, and have become as indispensable to our lives as well as smartphones. In this study, we focused on the 1.6-fold increase in the number of Instagram users in Japan from 2018 to 2019, and conducted a survey of women aged 19 to 70 or older to determine how the use of Instagram affects their buying behavior of cosmetics. In addition, we analyzed how the pandemic of coronavirus infection affected the buying behavior of cosmetics.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115384655","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":"BSGenerator: a Tool to Design Unique Online Examinations using Question Variations","authors":"Miguel Nicolau","doi":"10.1109/IIAIAAI55812.2022.00045","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00045","url":null,"abstract":"The sudden arrival of the COVID-19 pandemic caused chaos in a multitude of industries and sectors. In many universities around the world, the resulting restrictions forced the closure of campuses, and with face-to-face examinations cancelled, a rapid adaptation of assessment strategies was needed.To adapt to this scenario, we developed a software tool to assist in the design of unique examinations for each student, when using online quizzes. Results from its application to a large cohort of students validate the approach taken, in terms of fairness of assessment, grade distribution, and foul play deterrence.This paper describes the developed approach, its advantages and limitations, and plans for future refinement.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122551568","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}
Yusuke Ishitani, Tetsuya Sato, T. Shiina, Ryunosuke Hamada
{"title":"Solving stochastic integer-programming problems in electric bus introduction planning","authors":"Yusuke Ishitani, Tetsuya Sato, T. Shiina, Ryunosuke Hamada","doi":"10.1109/IIAIAAI55812.2022.00122","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00122","url":null,"abstract":"The introduction of electric buses has played a major role in reducing carbon dioxide emissions. The energy consumed by electric bus operation fluctuates. This fluctuation makes the optimization problem more difficult. Probabilistic constraints are effective for optimization problems under uncertainty. In this study, the energy consumed by one bus operation was considered as a random variable. The purpose of this study is to improve the efficiency of calculations in large-scale problems. We used the solution of the cutting plane method for the optimization model of the electric bus with probability constraints.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"74 39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799541","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}
R. L. Testa, Ariane Machado-Lima, Fátima L. S. Nunes
{"title":"Deepfake Detection on Videos Based on Ratio Images","authors":"R. L. Testa, Ariane Machado-Lima, Fátima L. S. Nunes","doi":"10.1109/IIAIAAI55812.2022.00086","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00086","url":null,"abstract":"Deepfake detection comes as a countermeasure to identify fake media content to reduce its harmful implications. Most detection approaches rely on identifying specific artifacts that can quickly become obsolete due to the fast advance in facial forgery methods. Some facial manipulation detection methods use temporal information to classify the video as real or fake. These methods mainly rely on 3D CNN architectures or two-stream networks using frame and video features. Our method not only considers temporal aspects, but it comes from a different perspective: extracting features that can account for inter-frame changes on a video. Inspired by the concept of ratio images, we extract features based on the ratio between adjacent frames for the face and its background. The experimental evaluation showed better results in intra- and cross-dataset tests on FaceForensics++ (FF++) and CelebDF datasets compared to the state-of-the-art deepfake detection approaches in the assessment with seen and unseen facial manipulation methods, as well as in seen and unseen video settings. In the intra-dataset experiment, the model resulted in an AUC of 100% for both CelebDF and FF++ datasets. In the cross dataset experiment, the model resulted in an AUC of 98% when trained with CelebDF and tested with FF++ and 86% when trained with FF++ and tested with CelebDF.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276228","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":"Development and Assessment of Recommendation System Based on Behavioral Intervention Analysis","authors":"Chih-Kai Chang, Pin-Chen Chen","doi":"10.1109/iiaiaai55812.2022.00049","DOIUrl":"https://doi.org/10.1109/iiaiaai55812.2022.00049","url":null,"abstract":"Computer science education in primary and secondary schools uses the. visual programming language \"Scratch \" to learn computational thinking. However, the limited number of course hours and overwhelmed teachers delay students’ learning progression. Although many Scratch instructional videos are available online, students still fail because of a lack of keyword-searching ability. Given this learning dilemma, we use the existing teaching videos online as hints assisting students in learning \"Scratch.\" This project uses OpenCV to record the program blocks and analyze the behavioral intentions, and then compares and analyzes it with the video content to recommend and mark relevant segments that students need. We believe that through this recommendation system, intelligent hints in the form of videos can cultivate students’ self-learning ability and improve current teaching adversity.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125931141","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":"Multi-Item Multi-Stage Production Inventory Model Using AVaR and Permission Value","authors":"A. René, Ryo Haruna, K. Okuhara","doi":"10.1109/IIAIAAI55812.2022.00110","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00110","url":null,"abstract":"The diversification and individualization of market needs have led to an increase in the variety of products, allowing customers to customize product specifications. Consequently, there is a shorter delivery time and significant fluctuations in order quantities for each product. These fluctuations promote an increase in demand uncertainty. This study considers a multi-item, multi-stage production, and inventory system for the general manufacturing industry. It employs Average Value-at-Risk (AVaR) and game-theoretic concepts to analyze and estimate the risk of the quantity demanded, proposing an optimal production and inventory system.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269788","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":"Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations","authors":"Masanori Hirano, Ryo Wakasugi, K. Izumi","doi":"10.1109/IIAIAAI55812.2022.00111","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00111","url":null,"abstract":"This study analyzed the effect of demand response (DR) on the electric power market using a multi-agent simulation. Firstly, we built a multi-agent simulation for the electric power market based on the data of the Japan electric power exchange market (JEPX) and a factory. Using the multi-agent simulation, we tested possible DR scenarios. We then compared these scenarios in terms of the two metrics, which are newly defined in this study: cost and CO2 emission reduction efficiencies. The findings of this study are as follows: working time shift in the summer showed the best performance in the reduction in cost and CO2. However, the best performance in the winter was achieved by peak-shift of the factory demand based on indices. Through this study, we considered the electric power features of both the seasons and time of the day in the simulation and investigated the effects of complex DR scenarios using multi-agent simulation.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132612328","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":"Industry Momentum Strategy Based on Text Mining in the Japanese Stock Market","authors":"Yuya Kimura, Kei Nakagawa","doi":"10.1109/IIAIAAI55812.2022.00089","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00089","url":null,"abstract":"Industry momentum refers to the phenomenon that buying(selling) industry portfolio from the past winner(loser) generates a positive return. In general, there is some lead-lag effect in the spread of price information due to the limited attention of investors. The industry momentum exploits the lead-lag effect due to information spillover delays within industries. In this study, We test whether industry momentum is stronger when we use information that is not attracting the attention of investors. We first perform industry classification with text mining of Annual Securities Reports describing the business activities of each company listed on the Japanese stock market. Then, we can identify groups of industry peer companies with low investor attention that is likely to cause the lead-lag effect. Such a text-based industry classification based on Annual Securities Reports is less visible to the investors but has an economic link among companies. We confirm that industry momentum base on text-based industry classification is more significant than traditional industry classification in Japanese stock market.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133605124","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":"Application of a Communication Robot as a Moderator for Recreational Speech Rehabilitation","authors":"A. Shimoda, S. Itai, T. Hamada, Maki Matsumoto","doi":"10.1109/IIAIAAI55812.2022.00036","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00036","url":null,"abstract":"The purpose of this study is to utilize a robot to enable people with limited experience and skills to take on the role of moderator for recreational rehabilitation conducted by speech-language pathologists. Recreational rehabilitation is known as an effective way to improve language skills and avoid social isolation. However, in order to effectively implement rehabilitation, it is necessary to solve the issues required of the moderator, specifically, to provide greater care to the participants, to reduce the burden of preparation, and to make it possible for those with limited experience to carry out the program. To solve these issues, the use of communication robots is expected. However, it is difficult to easily introduce such systems in terms of reliability, reproducibility, and automation in nursing and welfare fields where people are unfamiliar with the handling of information devices. Therefore, this study aims to make effective use of robots. First, by analyzing the role of the moderator through interviews with nursing care staff, a role that can be played by a robot was extracted. Next, a method to enable the robot to take on the role of the moderator was studied, and a method was proposed that combines existing technologies that are highly reliable and easy for nursing care staff to handle. Specifically, a system was proposed in which the robot's lines can be edited by the nursing staff using an editable PowerPoint presentation in advance preparation, and the timing of the robot's speech can be controlled remotely with a single click during recreation. A trial rehabilitation experiment using the proposed system showed the possibility of reducing the burden on the moderator while achieving participant communication equivalent to that of a human moderator.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133176050","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":"Music Recommendation Method for Time-Series Emotions from Lyrics Using Valence-Arousal-Dominance Model","authors":"Hiroki Nakata, T. Nakanishi","doi":"10.1109/IIAIAAI55812.2022.00093","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00093","url":null,"abstract":"In this paper, we represent a music recommendation system based on the lyrics data of music content. A system was built to recommend songs with a similar transition of an impression of lyrics. Our research consists of the lyrics metadata creation phase and the recommendation phase. In the lyrics metadata creation phase, as the Valence-Arousal-Dominance (VAD) model can show our human emotions in three independent dimensions, we extracted time-series emotional data from lyrics as numerical data. We repeated this process to create a dataset of lyrics with VAD score. We first extracted the VAD score the same way as in the first phase in the recommendation phase. To recommend songs that have a similar transition of the impression of lyrics, we used DTW to calculate the similarity of the songs. We implemented a recommendation system for songs with similar lyrical impressions through these two phases.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114935702","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}