2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献_第7页

Analysis of economic activity using mobile phone GPS data and estimating impact of COVID-19 利用手机GPS数据分析经济活动并估计COVID-19的影响

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00145

Yoshiyuki Suimon, Mikoto Yanai

{"title":"Analysis of economic activity using mobile phone GPS data and estimating impact of COVID-19","authors":"Yoshiyuki Suimon, Mikoto Yanai","doi":"10.1109/IIAI-AAI50415.2020.00145","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00145","url":null,"abstract":"In order to understand what is happening in the underlying economy it is useful to be able to gain a picture of what people are doing. For example, when people go out on the weekend, they may do so in order to engage in some kind of economic activity. In this research, we measured the level of economic activity by gaining a macro picture of people's movements. Specifically, we used the location data (GPS data) of mobile phones owned by the customers of major Japanese mobile carrier au to measure changes in the movements of people in key urban areas, and to show the relationship between these changes and macroeconomic variables. Our results found a notable correlation between the number of visitors to Shinjuku area in Tokyo on weekends/holidays and GDP consumer spending and spending-related government statistics such as the Indices of Tertiary Industry Activity and the Current Survey of Commerce. In addition, in Japan, the spread of COVID-19 has had a marked impact on people's economic activity in 2020. In order to confirm the details of this change, we analyzed the weekly change in the number of visitors to some commercial area in Tokyo. As a result, we confirm that there has been a dramatic change in people's behavior since the middle of February, when people became more aware of COVID-19 in Japan.","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":"114702950","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: 4

Multiple Perspective Caption Generation with Attention Mechanism 基于注意机制的多视角字幕生成

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00031

H. Yanagimoto, Maaki Shozu

{"title":"Multiple Perspective Caption Generation with Attention Mechanism","authors":"H. Yanagimoto, Maaki Shozu","doi":"10.1109/IIAI-AAI50415.2020.00031","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00031","url":null,"abstract":"In caption generation, a caption generation system generates a caption, which describes the content of the image with natural language and needs to understand both an image and a text. So caption generation is an essential task in natural language processing and image processing. Many researchers recently pay attention to deep learning as a key technique to construct the caption generation system because deep learning can construct an intermediate representation, which is shared in both image processing and natural language processing. First, the system generates a feature from a given image with convolutional neural networks. Eventually, the system generates a word sequence, a caption, from the feature. It means that the system consists of two modules, the image processing module and the language model module and both of the modules are simultaneously trained with a training dataset. The deep learning based caption generation system is a blackbox system and it is difficult to collaborate with a human. So, we introduce attention mechanism in the caption generation system and we control caption generation by the attention weights. The usual caption generation systems can generate only a single caption from one image because the system can generate a caption from an image directly. The proposed system can generate some different captions form the same image because we can control the initial attention weights. Our results demonstrate how we collaborate with deep learning and the fact that the collaboration improves caption generation.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"75 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":"127337746","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: 4

Detection Character Regions and Comparison Features in Event flyer Images based on Machine Learning 基于机器学习的事件传单图像特征区域检测与比较特征

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00125

K. Orimoto, Tomoko Tateyama, Masashi Honda, T. Miyamoto, S. Matsumoto

引用次数: 0

Prediction of Retained ICT Skills After Face-to-Face ICT Training Course 面对面ICT培训课程后保留ICT技能的预测

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00160

Y. Yaginuma, Hideaki Takahashi, Toshio Akimitsu, E. Nishina, M. Miwa

引用次数: 0

Model Checking of Visual Scripts Created by UE4 Blueprints UE4蓝图创建的可视化脚本的模型检查

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00107

Nao Igawa, Tomoyuki Yokogawa, Mami Takahashi, Kazutami Arimoto

引用次数: 4

Disentangled Representations by Pseudo-Maximum Mutual Information for Interpreting Multi-Layered Neural Networks 基于伪最大互信息的解纠缠表示解释多层神经网络

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00094

R. Kamimura

{"title":"Disentangled Representations by Pseudo-Maximum Mutual Information for Interpreting Multi-Layered Neural Networks","authors":"R. Kamimura","doi":"10.1109/IIAI-AAI50415.2020.00094","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00094","url":null,"abstract":"The present paper aims to propose a new type of information-theoretic method to disentangle complex information to have easily interpretable representations for multi-layered neural networks. By this disentanglement of complex information, multi-layered neural networks can be easily compressed to the simplest ones with simple, linear and individual relations between inputs and outputs. The principal idea is to train neural networks by supposing maximum mutual information states before learning, namely, pseudo-maximum information maximization. This pseudo-maximum information method can greatly facilitate the implementation of maximum information procedures. The method was applied to the well-known Boston housing data set for easily reproducing the present results. The experimental results confirmed that pseudo-mutual information can be used to increase actual mutual information. In addition, when mutual information increased, compressed weights from multi-layered neural networks became similar to the correlation coefficients between inputs and targets of original data set. Thus, the method could successfully show that the main inference mechanism can be based on linear and individual relations between inputs and outputs with additional and peripheral nonlinear relations.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"142 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":"123415860","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

Toward Clarifying Causes of Unusual Plasma Emissions Based on Support Vectors 基于支持向量的等离子体异常发射原因分析

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00018

Kendal Cousy, T. Hochin, H. Nakanishi, M. Shoji

引用次数: 0

Analyzing Motivation in Personal Software Process Education Course with a Qualitative Approach 用定性方法分析个人软件过程教育的教学动机

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00066

S. Kusakabe, Shunsuke Araki, Keiichi Katamine, M. Umeda

引用次数: 0

Impact of pharmaceutical promotional strategies on physicians’ prescription behavior in India 印度药品促销策略对医生处方行为的影响

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00134

Tenzin Dhonden, N. Kien, Phenpimon Wilairatana, Pichit Ngamjarussrivichai, T. Konosu

{"title":"Impact of pharmaceutical promotional strategies on physicians’ prescription behavior in India","authors":"Tenzin Dhonden, N. Kien, Phenpimon Wilairatana, Pichit Ngamjarussrivichai, T. Konosu","doi":"10.1109/IIAI-AAI50415.2020.00134","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00134","url":null,"abstract":"This study focuses on the impact of the promotional strategies used by the pharmaceutical industry on physician’s prescription behavior. This research was mainly carried out through a detailed literature review of past research and self-administered questionnaires. These questionnaires were electronically released and included data from a diverse group of medical doctors. Based on past research and theoretical underpinning, twenty different factors were categorized into four different promotional strategies. Responses to this study were marked on a five-point Likert scale and the relative importance index (RII) was used in order to rank the significant factors of promotional strategies. The study analysis showed that the majority of physicians agreed that the promotional strategies used by pharmaceutical companies impacted their prescription behavior patterns. The study also revealed that rapport, quality of a product and invitations to continuous medical education (CME) conferences speaker are the main factors shaping the prescription behavior of doctors.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"21 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120942753","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

Remote Articulation Test System for Supporting Special Education Classes for Language-disabled Children 支援语言障碍儿童特殊教育班的远程发音测试系统

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI: 10.1109/IIAI-AAI50415.2020.00034

Ikuyo Masuda-Katsuse, Yuiko Hirashima

引用次数: 0