2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献_第4页

Informatics Curriculum for Nursing College Students According to the Data Health Perspective 基于数据健康视角的护理大学生信息学课程

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00071

Seiko Masuda, K. Ishigaki, H. Nishimura

引用次数: 1

A Proposal of HR System's Visualization Based on Harvard Model, Life Cycle, and Organization Strategy and Management Type 基于哈佛模型、生命周期和组织战略与管理类型的人力资源系统可视化构想

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00152

Yusuke Sato, Nobuyuki Kobayashi, S. Shirasaka

{"title":"A Proposal of HR System's Visualization Based on Harvard Model, Life Cycle, and Organization Strategy and Management Type","authors":"Yusuke Sato, Nobuyuki Kobayashi, S. Shirasaka","doi":"10.1109/IIAI-AAI.2019.00152","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00152","url":null,"abstract":"Rapid economic changes have recently been requesting human resource departments in Japanese firms to transform their roles and services. [1] No paper refers a method to map the themes they talk about and to discuss these issues explicitly by using the Harvard Model and Organization Strategy and Management Type. In this paper, we propose a method using the Harvard Model and Organization Strategy and Management Type. The method is divided into Visualization Map of HR Systems based on Life Cycle and Organization Strategy and Management Type. We asked employees of Human Resource Departments to use worksheets of \"visualization map of HR systems based on life cycle\" and \"Organization Strategy and Management Type\". Then, we evaluated the two points on whether they thought the HR System of their company was appropriate and whether they could write down and explain the HR System to other people. As a result, we confirmed that we achieved the goal of identifying issues of the firm and facilitating discussions with management and HR employees of other companies. In addition, this method could play a role in a training program for people who have a little experience as employees of Human Resource Departments.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125852","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

Searching Behavior Analysis of Online Shopping Based on Information Content of Query Words 基于查询词信息内容的网上购物搜索行为分析

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00020

Genkou Ou, Kei Wakabayashi, T. Satoh

引用次数: 1

An Intelligent Touring Recommendation System Using the Deep Learning and Augmented Reality Technology-Case Study of Toucheng Historic Street 基于深度学习和增强现实技术的智能旅游推荐系统——以头城历史街为例

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00235

J. Lo, Hui-Ying Lin

{"title":"An Intelligent Touring Recommendation System Using the Deep Learning and Augmented Reality Technology-Case Study of Toucheng Historic Street","authors":"J. Lo, Hui-Ying Lin","doi":"10.1109/IIAI-AAI.2019.00235","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00235","url":null,"abstract":"Recently, it is more and more difficult to make a decision because we receive a large amount of information through the Internet every day. Therefore, the recommender system becomes more and more popular. It can help users making decisions effectively by providing suitable suggestions to users, and those suggestions were processed according to users' browsing history and transaction. Therefore, the development of the recommender system in this research is based on cloud platform and focuses on providing location-based search and intelligent recommendation for resource objects. First, we will automatically through the pre-processing process, crawler technology and APIs provided by social networking sites, and use these data descriptions to enhance data search with correctness. Moreover, we design and build an integrated tourism augmented reality navigation system with recommendation technology and dynamic route planning which covers all tourism activities. The service also provided various valued-added services, such as wikitude Augmented Reality, subject guidance including POI, LOI and SOI, and stored trajectory path of users. Therefore, the user may have a story-based touring guidance while surfing the cultural and historic contents in advance.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554595","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

Detecting Spam Reviews for Improving House Sharing Recommendation 检测垃圾评论以改进房屋共享推荐

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00028

Ya-Chu Chuang, Yung-Ming Li

引用次数: 2

Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods 利用机器学习方法提取日本和美国利率关系

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00135

Yoshiyuki Suimon, Hiroki Sakaji, T. Shimada, K. Izumi, Hiroyasu Matsushima

引用次数: 2

Digital Banking Transformation: Application of Artificial Intelligence and Big Data Analytics for Leveraging Customer Experience in the Indonesia Banking Sector 数字化银行转型:应用人工智能和大数据分析在印尼银行业提升客户体验

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00175

Elisa Indriasari, F. Gaol, T. Matsuo

{"title":"Digital Banking Transformation: Application of Artificial Intelligence and Big Data Analytics for Leveraging Customer Experience in the Indonesia Banking Sector","authors":"Elisa Indriasari, F. Gaol, T. Matsuo","doi":"10.1109/IIAI-AAI.2019.00175","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00175","url":null,"abstract":"Discussions related to the Digital Banking (DB) transformation has become the main issues in the industry nowadays. Digital disruption has changed the way peoples do business and perform transactions. However, the bankers still found many problems when performing DB transformation. Main issues on DB transformation are that many banks still assume that digital transformation is about workflows and systems rather than focus on customer experience. Nowadays, Artificial Intelligence (AI) and Big Data Analytics (BDA) have risen and played as an important role in the new banking era. The recent trend of AI and BDA enable banking to be more customer-centric based on data driven. Personalization service becoming an important strategy for leveraging the existing customer engagement, and attracting potential customer become new customers. This study explores the application of AI and BDA in banking for leveraging customer experience. This study used literature review and interviews to gather the data. We interview more than some persons in Indonesia banking industry to get the insight on the implementation of AI and BDA in Indonesia. The paper reveals best practices of the global banking and Indonesian banking, in the implementation of AI & BDA. The contributions of this study are proposed enterprise architecture and recommended digital innovation in AI and BDA that enables banking institutions to leverage customer experiences.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130108868","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: 17

An Offline Mahjong Support System Based on Augmented Reality with Context-aware Image Recognition 基于增强现实与情境感知图像识别的离线麻将支持系统

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00035

Ryosuke Suzuki, Tadachika Ozono, T. Shintani

引用次数: 0

Bilingual Auto-Categorization Comparison of Two LSTM Text Classifiers 两种LSTM文本分类器的双语自动分类比较

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00127

Johannes Lindén, Xutao Wang, Stefan Forsström, Tingting Zhang

{"title":"Bilingual Auto-Categorization Comparison of Two LSTM Text Classifiers","authors":"Johannes Lindén, Xutao Wang, Stefan Forsström, Tingting Zhang","doi":"10.1109/IIAI-AAI.2019.00127","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00127","url":null,"abstract":"Multi linguistic problems such as auto-categorization is not an easy task. It is possible to train different models for each language, another way to do auto-categorization is to build the model in one base language and use automatic translation from other languages to that base language. Different languages have a bias to a language specific grammar and syntax and will therefore pose problems to be expressed in other languages. Translating from one language into a non-verbal language could potentially have a positive impact of the categorization results. A non-verbal language could for example be pure information in form of a knowledge graph relation extraction from the text. In this article a comparison is conducted between Chinese and Swedish languages. Two categorization models are developed and validated on each dataset. The purpose is to make an auto-categorization model that works for n'importe quel langage. One model is built upon LSTM and optimized for Swedish and the other is an improved Bidirectional-LSTM Convolution model optimized for Chinese. The improved algorithm is trained on both languages and compared with the LSTM algorithm. The Bidirectional-LSTM algorithm performs approximately 20% units better than the LSTM algorithm, which is significant.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127689979","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

An Assist System for Visually Impaired at Indoor Residential Environment using Faster-RCNN 基于Faster-RCNN的室内住宅环境视障辅助系统

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00231

Wei-Jen Lin, Mu-Chun Su, Wei-Yin Cheng, Wen-Yu Cheng

引用次数: 4