发布求助
文献互助 智能选刊 最新文献

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献

筛选
英文 中文
A Video Analyzing Method for Competitive Rifle Shooting 步枪竞技射击视频分析方法研究
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00158
Haruki Koshiba, S. Matsumoto, Yasuki Iizuka
{"title":"A Video Analyzing Method for Competitive Rifle Shooting","authors":"Haruki Koshiba, S. Matsumoto, Yasuki Iizuka","doi":"10.1109/IIAI-AAI50415.2020.00158","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00158","url":null,"abstract":"In this paper, we propose a video analysis method for scientific training of rifle shooting. Rifle target shooting is one of the Olympic games, it is a competition aiming at a 45.5mm target of 10m away. Due to the small number of players, computer-based training assistance has not been provided. When trying to analyze the movement of the rifle shooter’s form using video analysis, unnecessary movements are detected as noises. If the noise is removed by the conventional video processing filters, the feature points that are originally required will be removed also. In this paper, we propose a noise removal method using machine learning. Experimental results show that the proposed method has an accuracy of about 90%.","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":"114177088","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
Introducing new criteria for IR, using student data compared analysis based on Eduinformatics 采用基于教育信息学的学生数据比较分析，引入新的IR标准
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00083
Kunihiko Takamatsu, Katsuhiko Murakami, Yasuhiro Kozaki, Aoi Kishida, Takafumi Kirimura, Kenya Bannaka, Kenichiro Mitsunari, Masato Omori, Yasuo Nakata
{"title":"Introducing new criteria for IR, using student data compared analysis based on Eduinformatics","authors":"Kunihiko Takamatsu, Katsuhiko Murakami, Yasuhiro Kozaki, Aoi Kishida, Takafumi Kirimura, Kenya Bannaka, Kenichiro Mitsunari, Masato Omori, Yasuo Nakata","doi":"10.1109/IIAI-AAI50415.2020.00083","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00083","url":null,"abstract":"Recently, we proposed \"Eduinformatics,\" a new field of education that combines both education and informatics. In addition, we introduced new criteria to utilize student data in Institutional Research (IR). In a previous article, we defined \"primary data\" as the first standard which is not combined linear data and \"secondary data\" as the second standard which is a linear combination of primary data. However, in this article we will present new definitions of Primary and Secondary data because our analysis of actual educational data has revealed that Secondary data is not only linear data, but also nonlinear. Moreover, we will present examples in which primary data was used to detect elements that could not be founded through the analysis of secondary data, and were pitfalls of compared analysis performed by IR practitioners.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"24 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":"114640030","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: 1
Geodetic Distance and Dynamic Outlier Exclusion in EM Optimization of Self Exciting Point Process for Homicide Prediction in Chicago 芝加哥凶杀案预测自激点过程EM优化中的大地距离和动态异常值排除
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00112
B. S. Jaiswal, B. Chandra, Kolin Paul
{"title":"Geodetic Distance and Dynamic Outlier Exclusion in EM Optimization of Self Exciting Point Process for Homicide Prediction in Chicago","authors":"B. S. Jaiswal, B. Chandra, Kolin Paul","doi":"10.1109/IIAI-AAI50415.2020.00112","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00112","url":null,"abstract":"In this paper, we propose a novel algorithm to improve the state-of-the-art results of homicide prediction in Chicago crime dataset. A marked self-exciting point process (M-SEPP) based epidemic type aftershock sequence (ETAS) model was applied to the Chicago crime dataset by Mohler [1] for improving the prediction rate of homicides over and above the traditional chronic hot spot approach. Expectation-maximization (EM)-type optimization has long been employed for the computation of the maximum likelihood estimates of parameters in the ETAS model. However, improvement in crime prediction has been slow due to the technological challenges in modeling the spatio-temporal distribution of criminal behavior, which results from a complex interaction of biological, social, psychological, and other influencing factors. We propose the GeoDOME algorithm, which incorporates geodetic distance and dynamic outlier exclusion in the EM-type algorithm of the ETAS model. It guarantees significant improvement in the prediction rate of homicides compared to the best result documented to date. A theoretical basis for the principles used in the modified algorithm is also provided. The increase in the prediction accuracy of homicides has been experimentally validated using the same Chicago crime dataset.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"62 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":"116542267","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
Continuous modeling supports from business analysis to systems engineering in IoT development 在物联网开发中，从业务分析到系统工程的持续建模支持
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00139
Toshinori Takai, Katsutoshi Shintani, Hideki Andoh, H. Washizaki
{"title":"Continuous modeling supports from business analysis to systems engineering in IoT development","authors":"Toshinori Takai, Katsutoshi Shintani, Hideki Andoh, H. Washizaki","doi":"10.1109/IIAI-AAI50415.2020.00139","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00139","url":null,"abstract":"Developing Internet of Things(IoT) systems is non-trivial because diverse solution spaces must be simultaneously satisfied due to the intrinsic nature of IoT systems. To address this challenge, we proposed a method chain approach called the continuous modeling support process for business analysis and solution requirements in IoT development(COMP4BA-IoT) consisting of Business Analysis Body of Knowledge (BABOK), GQM+Strategies, GSN (goal structuring notation) and systems modeling language SysML.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"15 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":"117072033","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: 1
Analyzing Youth Attitudes towards Mutual Assistance Support System based on Sensitivity Analysis of Bayesian Networks 基于贝叶斯网络敏感性分析青少年对互助支持系统的态度
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00123
S. Matsumoto, N. Ohhigashi
{"title":"Analyzing Youth Attitudes towards Mutual Assistance Support System based on Sensitivity Analysis of Bayesian Networks","authors":"S. Matsumoto, N. Ohhigashi","doi":"10.1109/IIAI-AAI50415.2020.00123","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00123","url":null,"abstract":"We have shown the concept of information sharing system to support vulnerable road users living in the suburban slope residential areas where public transport is scarce. Then we also have constructed a web service to support their daily life named MASS. The role of MASS is to facilitate the encounter between local community people and to provide the opportunity of resource sharing for solving the difficulties in daily life by mutual assistance. In order for MASS to be effective in solving the problems of vulnerable road users, mainly older people, the active participation of young people is essential because most of the resources of skills will be provided by young people. Therefore, in order to discuss the continuity of our system as a business, the previous research has conducted an attitude survey on young people’s awareness of resource sharing at their local community and analyzed it with Bayesian networks. From the analysis, the previous research has shown the relationship between the factors, which could not be clarified so far, and obtained results that support several hypotheses. However, the previous research has analyzed only the results of evaluating MASS from a subjective view and has not dealt with the survey results of evaluating MASS from an objective viewpoint. Furthermore, the strength of each explanatory variable with respect to the objective variable (MASS evaluation) was not sufficiently clear. The purpose of this study is to analyze the sensitivity of each explanatory variable for the objective variable in the constructed model of Bayesian networks and to perform inference using the model.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"43 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":"116252215","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
Academic Success Prediction based on Important Student Data Selected via Multi-objective Evolutionary Computation 基于多目标进化计算的重要学生数据学习成绩预测
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00082
N. Kondo, T. Matsuda, Yuji Hayashi, Hideya Matsukawa, Mio Tsubakimoto, Yuki Watanabe, Shinji Tateishi, Hideaki Yamashita
{"title":"Academic Success Prediction based on Important Student Data Selected via Multi-objective Evolutionary Computation","authors":"N. Kondo, T. Matsuda, Yuji Hayashi, Hideya Matsukawa, Mio Tsubakimoto, Yuki Watanabe, Shinji Tateishi, Hideaki Yamashita","doi":"10.1109/IIAI-AAI50415.2020.00082","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00082","url":null,"abstract":"This paper proposes an academic success prediction modeling approach that can be used for student advising, in which a multi-objective evolutionary computation approach is applied that automatically selects important explanatory variables suitable to predict academic success and construct multiple predictive models based on machine learning. Numerical experiments using actual student data suggest that it is possible to construct predictive models in considering the trade-off of prediction performance and model interpretability.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"27 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":"123492070","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
Current Failure Prediction for Final Examination using Past Trends of Weekly Online Testing 利用每周在线测试的过去趋势预测期末考试的当前失败
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00037
H. Hirose
{"title":"Current Failure Prediction for Final Examination using Past Trends of Weekly Online Testing","authors":"H. Hirose","doi":"10.1109/IIAI-AAI50415.2020.00037","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00037","url":null,"abstract":"Previously, we showed that we can predict the success/failure status for the final examination to each student at early stages in courses using the current trends of estimated abilities in terms of item response theory for online testing. However, we used the same testing results in prediction and in construction of the mathematical model, which may cause overfitting effect. In this paper, we have shown that we can still predict the current success/failure status for the final examination using the past trends of estimated abilities of the online testing and the past final examination results.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"10 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":"124827430","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
Orientation courses to promote self-regulated learning affect learning planning and execution 导向课程促进自主学习，影响学习计划和执行
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00176
M. Yagi, Mitsue Suzuki, S. Tsuzuku, Reiko Murakami
{"title":"Orientation courses to promote self-regulated learning affect learning planning and execution","authors":"M. Yagi, Mitsue Suzuki, S. Tsuzuku, Reiko Murakami","doi":"10.1109/IIAI-AAI50415.2020.00176","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00176","url":null,"abstract":"An orientation course (OC) created to facilitate self-regulated learning was evaluated for effectiveness. Learners who participated in the OC were able to carry out their learning plans ahead of time or as planned, compared to those who did not implement the OC. The results of this study suggest that the experience of rotating the self-regulation cycle in the OC increased the learners' metacognition of their thinking process and learning strategies, leading to setting reasonable goals and executing their plans.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"112 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113946140","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
Risk Analysis Based on Factors of Failure in Small and Medium-sized Company Projects 基于失败因素的中小企业项目风险分析
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00163
H. Yasuda, Hajime Kawamukai, H. Nishimura
{"title":"Risk Analysis Based on Factors of Failure in Small and Medium-sized Company Projects","authors":"H. Yasuda, Hajime Kawamukai, H. Nishimura","doi":"10.1109/IIAI-AAI50415.2020.00163","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00163","url":null,"abstract":"Under the limited number of staff in small and medium-sized companies with little opportunity to learn project management, it is difficult for the staff to carry out projects in a systematic manner. New methods and tools for support are needed to prevent project failure in situations where project management knowledge and experience are scarce. Therefore, we have so far collected information on cases of failed projects for small and medium-sized company, and analyzed and categorized factors of failure. In this research, the factors of failure revealed from our previous research were regarded as risk factors, and risk analysis for failure avoidance was performed based on the risk assessment widely used in risk management.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"64 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":"131587950","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
Rating Estimation from Review Texts Using Long Short-Term Memory 利用长短期记忆对复习文本进行评价
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00011
Ryo Takada, T. Hochin, Hiroki Nomiya
{"title":"Rating Estimation from Review Texts Using Long Short-Term Memory","authors":"Ryo Takada, T. Hochin, Hiroki Nomiya","doi":"10.1109/IIAI-AAI50415.2020.00011","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00011","url":null,"abstract":"A lot of reviews of products have been posted on various web sites and services because of the spread of the Internet, and the estimation of ratings from review texts is actively performed. However, there are few such studies on Japanese review texts without limiting the product genre. In this paper, we propose a neural network model that takes as input a general Japanese product review text and estimates rating for it without limiting the product genre. By using Long Short-Term Memory (LSTM), which is one of the regression type neural network models that can handle sequential data, we analyze words in sentences considering their order. The rating estimation model is realized mainly by segmentation of texts, conversion to distributed representations, an LSTM layer, and a fully connected layer. In addition, we conduct evaluation experiments of the created model and consider the results.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"95 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120913717","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信