2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献_第10页

Consideration of Service Robot with reference to Joruri Puppet, assuming Street fundraising activities 服务机器人参考Joruri Puppet的考虑，承担街头筹款活动

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/iiaiaai55812.2022.00067

M. Narita, Sachiko Nakagawa

引用次数: 0

A Book Recommendation System Considering Contents and Emotions of User Interests 一种考虑用户兴趣内容和情感的图书推荐系统

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00039

T. Fujimoto, Harumi Murakami

引用次数: 1

Visual Question Answering Focusing on Object Positional Relation with Capsule Network 基于胶囊网络的物体位置关系视觉问答

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00027

H. Yanagimoto, Riki Nakatani, Kiyota Hashimoto

{"title":"Visual Question Answering Focusing on Object Positional Relation with Capsule Network","authors":"H. Yanagimoto, Riki Nakatani, Kiyota Hashimoto","doi":"10.1109/IIAIAAI55812.2022.00027","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00027","url":null,"abstract":"This paper presents a visual question answering (VQA) system focusing on object positional relation, which consists of Capsule Network and a recurrent neural language model. Grasping object positions in an image is necessary to understand the image and appropriately answer a question based on the image. Most related works employ state-of-the-art object recognition systems to detect objects in an image correctly and achieve higher accuracy for VQA datasets. However, It is difficult for the object recognition systems to extract enough object position from the image because of their architectures. The systems employ max-pooling to select representative features in an area of the image and the max-pooling tends to introduce position ambiguity. To overcome the drawback, we construct a VQA system with Capsule Network, which can capture object position information without max-pooling. For experiments, we choose only yes/no type questions from VQA dataset and the proposed method improves approximately 4% accuracy for the whole questions. Especially, the proposed method improves approximately 15% accuracy for questions including \"next to\" and \"front of\"","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"63 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":"127737349","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

Graph Expression for Various Software Documents As Unified Format 统一格式的各种软件文档的图形表达

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00046

Mika Ohtsuki, Tetsuto Kakeshita

{"title":"Graph Expression for Various Software Documents As Unified Format","authors":"Mika Ohtsuki, Tetsuto Kakeshita","doi":"10.1109/IIAIAAI55812.2022.00046","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00046","url":null,"abstract":"We are developing an educational environment system named VRale-SCM to foster IT engineers necessary for the recent information society. VRale-SCM allows students to deepen their understanding by viewing source code and class diagrams in a virtual space. In this paper, we examined the possibility of using graphs to represent not only source code and class diagrams but also various software documents generated during the software development lifecycle as a framework for viewing them in a virtual space. While there have been attempts to represent individual software documents using a graph, there have been no attempts to represent relationships among these software documents. It will become possible to trace their relationships by interconnecting them, which is expected to facilitate the understanding of the students. In this paper, we shall examine the composition of some of the software documents in each process and attempt to represent the source code and design patterns in the graphs. We shall also check them with visualization tools. Using the graph representation is expected to contribute to understanding by presenting various metrics by applying the analysis in existing studies.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"37 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":"114712931","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

Personality Traits Estimation of Participants Based on Multimodal Information in Knowledge-Transfer-type Discussion 知识转移型讨论中基于多模态信息的参与者人格特征估计

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00014

Tessai Hayama, S. Yokoyama

{"title":"Personality Traits Estimation of Participants Based on Multimodal Information in Knowledge-Transfer-type Discussion","authors":"Tessai Hayama, S. Yokoyama","doi":"10.1109/IIAIAAI55812.2022.00014","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00014","url":null,"abstract":"Although an evaluation index of participants’ communication skills in group dialog would be useful for improving each participant’s ability to interact in a group, conventional methods of assessing personality traits are required lots of labor- and time-consuming for participants when conducted frequently, so automation of these methods is preferred. In this study, we developed a method to estimate personality traits of each participant based on multimodal dialog information in knowledge-transfer-type discussions. To achieve it, we created a corpus of knowledge-transfer-type dialogs including participants’ multimodal information and personality assessments of the BigFive and Locus of Control and constructed statistical models to classify high and low degree of the personality traits based on participants’ multimodal information. The evaluation results showed that the model was able to estimate degree of each factor of the BigFive with accuracies in the range of 0.87-1.00, and to estimate degree of Locus of Control with accuracies in the range of 0.87-1.00. The most useful features to estimate personality traits were combinations of acoustic features, head movement features, turn-taking features, and linguistic features. It was also found that the personality traits of participants could be estimated with high accuracy even when using data from the first 5 minutes of the discussion session.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"26 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":"130405843","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

A computationally efficient approach for solving RBSC-based formulation of the subset selection problem 求解基于rbsc的子集选择问题的高效计算方法

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00076

K. Furuya, Zeynep Yücel, Parisa Supitayakul, Akito Monden

引用次数: 0

Applications of Intelligent Environmental IoT Detection Tools in Environmental Education of College Students 智能环境物联网检测工具在大学生环境教育中的应用

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/iiaiaai55812.2022.00055

Tzu-Ning Wu, Kai-Yi Chin, Yu-Chung Lai

{"title":"Applications of Intelligent Environmental IoT Detection Tools in Environmental Education of College Students","authors":"Tzu-Ning Wu, Kai-Yi Chin, Yu-Chung Lai","doi":"10.1109/iiaiaai55812.2022.00055","DOIUrl":"https://doi.org/10.1109/iiaiaai55812.2022.00055","url":null,"abstract":"A set of intelligent environmental IoT detection tools that apply the Internet of Things to environmental education, including \"auxiliary tools for environmental IoT detection\" and \"environmental analysis system combined with artificial intelligence technology\" is proposed in this study. Through various environment detectors at the underlying layer of the Internet of Things, the auxiliary tools for environmental IoT detection collect the data which need to be observed and introduce this set of tools into the living environment of college students. The environmental analysis system combined with artificial intelligence technology analyzes the data collected by the former and draws a visual chart, so that students can stay on top of the environmental change trend at each time point more clearly. Furthermore, by combining machine learning technology with artificial intelligence, this set of tools analyzes the collected data and makes predictions. When a poor environmental condition in the future is predicted, students will be informed of the causes and consequences to understand the connection between human beings and the environment.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"49 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":"124088019","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

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00022

Kan Yonashiro, Yuichi Shimaya, Kouichi Hirata

引用次数: 1

Study on Organizational Response Management to System Failures 组织对系统故障的响应管理研究

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00114

A. Shimoda

{"title":"Study on Organizational Response Management to System Failures","authors":"A. Shimoda","doi":"10.1109/IIAIAAI55812.2022.00114","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00114","url":null,"abstract":"Critical infrastructures are interdependent, and among them, information and telecommunications tend to have a wide range of influence in that they are responsible for the neural functions of other critical infrastructures. Therefore, reducing the occurrence of information and communication failures is a highly important issue for maintaining a safe and secure social life. To solve this problem, in addition to improving system reliability and preventing system failures from occurring, emphasis is being placed on the concept of reducing the magnitude of damage and the time required for recovery, based on the assumption that system failures will occur. Specifically, companies and local governments have embodied this concept in BCP (Business continuity planning) and BCM (Business continuity management), which are mechanisms to prevent the suspension of operations. The information system has been conventionally considered to be a \"business continuity plan\" or \"business continuity management. In the past, there have been examples of preparing emergency manuals for information systems as a way to deal with system failures. However, there was a possibility of ad hoc management in the event of unexpected situations, such as deviations from the assumed plan. This paper discusses how to improve the management of emergency response after a system failure by introducing the concept of project management. The effectiveness of the proposed method will be examined through case studies of system failures.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"75 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":"117215710","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

Domain Bias in Fake News Datasets Consisting of Fake and Real News Pairs 由假新闻和真实新闻对组成的假新闻数据集的领域偏差

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2022-07-01 DOI: 10.1109/IIAIAAI55812.2022.00029

Shingo Kato, Linshuo Yang, Daisuke Ikeda

{"title":"Domain Bias in Fake News Datasets Consisting of Fake and Real News Pairs","authors":"Shingo Kato, Linshuo Yang, Daisuke Ikeda","doi":"10.1109/IIAIAAI55812.2022.00029","DOIUrl":"https://doi.org/10.1109/IIAIAAI55812.2022.00029","url":null,"abstract":"News intentionally containing false information–known as \"fake news\"–is common on the Internet and often causes social disruption. In order to solve it, research on automatic detection of fake news using supervised learning has been active. Although the accuracy is improving, a major challenge for practical application remains: models can not work well for news in unknown fields (domains) due to domain biases. The goal of this study is to mitigate these domain biases and improve the accuracy of cross-domain fake news detection, which tests news from unknown domains. We firstly try to mitigate the bias by masking noun phrases which are considered a major source of domain bias. However, masking has not improved accuracy. Therefore, we point out that the dataset in this study has the property that it always contains pairs of fake and real news on the exact same topic. In this paper, we focus on this property of dataset and examine how it may affect domain bias and accuracy. Comparative experiments show that accuracy is higher when trained on a dataset with the property shown in this study. We suggest that a fake news dataset consisting of paired news could be effective for cross-domain detection.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"32 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":"121540794","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: 2