2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献_第6页

A Public Transportation Reservation System for Congestion Relief with E-tickets 以电子票缓解挤塞的公共交通预约系统

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00085

Tomoaki Takemura, Kazuhiko Iwase, Jie Zhang, Shoko Abe, T. Ohkubo, Hisashi Hayashi

{"title":"A Public Transportation Reservation System for Congestion Relief with E-tickets","authors":"Tomoaki Takemura, Kazuhiko Iwase, Jie Zhang, Shoko Abe, T. Ohkubo, Hisashi Hayashi","doi":"10.1109/IIAIAAI55812.2022.00085","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00085","url":null,"abstract":"Existing public transportation reservation systems operate on a first-come-first-served basis, and do not consider mobility priorities. During the COVID-19 pandemic, overcrowding in transportation facilities must be mitigated. However, a limited number of high-priority users such as healthcare workers should be able to commute safely. Moreover, high-priority transportation is also required even for regular passengers in some cases when they really need to move for important reasons. In this study, we propose a new e-ticket reservation system that performs maximum weight matching based on the user priority category, desired time, and virtual-point bidding. Matching is performed separately for each line at each station to reduce computational complexity. This virtual point system allows users to prioritize their travel schedules and easily book necessary transportation. To guarantee fairness, only a limited number of virtual points are distributed to each user, and additional purchases are not allowed. Our system aims to maximize the number of tickets distributed to high-priority users and travelers who spent virtual points while reducing the degree of congestion.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"57 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":"133652915","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}

引用次数: 0

HOUND: Log Analysis Support for Threat Hunting by Log Visualization 猎犬:通过日志可视化支持威胁搜索的日志分析

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00130

Reiko Yamagishi, T. Katayama, N. Kawaguchi, Tomohiro Shigemoto

引用次数: 2

Data Augmentation for Question Answering Using Transformer-based VAE with Negative Sampling 基于变压器的负采样VAE答题数据增强

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00097

Wataru Kano, Koichi Takeuchi

引用次数: 0

Statistical Learning Models for Japanese Essay Scoring Toward One-shot Learning 面向一次性学习的日语作文评分统计学习模型

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00070

Chihiro Ejima, Koichi Takeuchi

{"title":"Statistical Learning Models for Japanese Essay Scoring Toward One-shot Learning","authors":"Chihiro Ejima, Koichi Takeuchi","doi":"10.1109/IIAIAAI55812.2022.00070","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00070","url":null,"abstract":"A lot of studies of automatic essay scoring are conducted using machine learning models. The previous studies show high performance for scoring large scale essays with machine learning models, however, more than hundreds of scored answers are required to train the neural network models. In this paper we discuss the possibility of one-shot learning, that is, using only one model essay as a training sample of a highest score. For this purpose, we apply regression models to estimate essay scores with different embedding models, that are, BERT and bag-of-words based encoding models. In preliminary experiments, feature analyses of one-shot learning with UMAP for the two embedding models reveal that the bag-of-words based model has more potential to score the test essays comparing to the BERT encoding model. Thus, to clarify the performance of the bag-of-words based encoding model, we conduct two experiments: firstly, we evaluate the performance of models to estimate the scores of test essays using 80% of score essays are used as training data; secondly, one-shot learning is applied to the models. The experimental results show that the proposed bag-of-words based encoding model is promising.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"16 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":"133068751","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}

引用次数: 0

Predicting CTR of Regional Flyer Images Using CNN 利用CNN预测区域飞行图像的点击率

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00107

Daichi Inoue, S. Matsumoto

{"title":"Predicting CTR of Regional Flyer Images Using CNN","authors":"Daichi Inoue, S. Matsumoto","doi":"10.1109/IIAIAAI55812.2022.00107","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00107","url":null,"abstract":"In recent years, a variety of social media have been launched for regional revitalization. A Japanese social media service \"Tame-map\" is the one of them. Tame-map is a Web application for sharing local information, allowing users to easily post and view information about local events in their daily lives. Since many images are posted on Tame-map every day, creating a well-designed flyer which can attract many users is important. The more users view the site, the more participation in events can be expected. Therefore, increasing the number of views is an important issue from the perspective of revitalizing the local community. The more users view the site, the more participation in events can be expected. On the other hand, the methodology for creating a design that attracts many visitors has not been established. The design process completely depends on organizer’s experience and intuition. In this regard, if the number of views can be predicted to some extent in advance when posting information, the predicted views would be helpful to reconsider the design of the flyer. As a result, we can expect an increase in the number of advertising images that can be viewed by many users, which will lead to the revitalization of the local community. Then, in this study, we predict CTR (Click Through Rate) of local even flyers for the data of Tame-map. We construct a CTR prediction model using CNN, and show that the constructed model is useful for predicting the CTR","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"81 2 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":"132760786","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}

引用次数: 0

Detection of Flaming Participants Using Account Information and Stylistic Features of Posts 利用账户信息和帖子文体特征检测火焰参与者

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00020

Taisei Aoyama, Linshuo Yang, Daisuke Ikeda

{"title":"Detection of Flaming Participants Using Account Information and Stylistic Features of Posts","authors":"Taisei Aoyama, Linshuo Yang, Daisuke Ikeda","doi":"10.1109/IIAIAAI55812.2022.00020","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00020","url":null,"abstract":"With the rapid development of SNS in recent years, the number of SNS users has increased rapidly, and people can easily communicate interactively with an unspecified large number of people. With these changes in the information society, a phenomenon known as \"flaming\", in which critical comments flood SNS, has become a frequent occurrence. In recent years, various studies on flaming have been conducted, but most of them are concerned with those who receive a large number of critical comments, not on those who write critical comments, called \"flaming participants\". In this study, we examine the characteristics of flaming participants on Twitter by using machine learning to classify them into two groups: flaming participants and normal users. For the classification features, we use account information, i.e., statistical data for each account, and stylistic features of the postings, i.e., (1, n)-grams of the part-of-speech tags of the postings. The experimental results show that these features are effective in detecting Twitter flaming participants. Furthermore, we found that flaming participants use more quote tweets than the normal user, and that there are word patterns that are characteristic of flaming participants.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 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":"133037366","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}

引用次数: 0

Meaning of the Clusters on Dimensionality Reduction by Word Clustering 聚类对词聚类降维的意义

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00072

Toshinori Deguchi, Sin-Yeong Seo, Naohiro Ishii

引用次数: 0

A high performance approach with MATSim for traffic road simulation 基于MATSim的交通道路模拟的高性能方法

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00140

Sara Moukir, N. Emad, Stéphane Baudelocq

引用次数: 0

Optimization of EV bus charging schedule by stochastic programming 基于随机规划的电动汽车充电计划优化

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00124

Tetsuya Sato, T. Shiina, Ryunosuke Hamada

引用次数: 0

Hyperheuristic Method Based on Deep Reinforcement Learning 基于深度强化学习的超启发式方法

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/iiaiaai55812.2022.00068

H. Iima, Yoshiyuki Nakamura

引用次数: 0