{"title":"Big Data Information of CNC Machine Tool Performed in Position Control Mode","authors":"Wen-Yang Chang, Sheng-Jhih Wu","doi":"10.1109/IIAI-AAI.2017.98","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.98","url":null,"abstract":"This paper is investigating the manufacturing information technologies of CNC machine tool, FANUC corporation, based on data estimation for lean information network in manufacturing execution. The response characteristics includes the position loop gain, position feed-forward gain, velocity loop integral gain, velocity loop proportional gain, and velocity feed-forward coefficient. The characteristic responses of the different position loop gains, 10, 30, and 90 1/sec, are investigated in position control mode. The characteristic responses of the different position feed-forward gains, 10, 50, 70, and 100 %, are investigated. The performance characteristics of CNC machine tool was based on tuning operation for big data estimation. The big data establishment of the CNC machine tool was performed in position control mode for transient and steady state responses. The phase cross over frequency and gain margin decreased as the PK1V gain increased. The manufacturing information acquires and processes the big data to report information such as diagnostics or monitors and to optimize the wider intelligent system.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117036427","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}
{"title":"Early Detection of At-Risk Students Using Machine Learning Based on LMS Log Data","authors":"N. Kondo, Midori Okubo, T. Hatanaka","doi":"10.1109/IIAI-AAI.2017.51","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.51","url":null,"abstract":"Analytics in education has been received much attention over the past decade. It is necessary to maintain high retention rate in any institutions of higher education, therefore several attempts on the application of analytics have been done for this problem. To detect students at high drop-out risk early and intervene them effectively, utilizing the educational big data can be useful. In this paper, an automatic detection method of academically at-risk students by using log data of learning management systems is considered. Some well-known machine learning methods are used to build a predictive model of student performance evaluated by GPA. By using actual data set, we investigate an availability of the proposed method and discuss its ability to early detection of off-task behavior. The experimental results indicated that some characteristics of behavior about learning which affect the learning outcomes can be detected with only the online log data. Furthermore, comparative importance of explanatory variables obtained by the approach would help to estimate which variable affects comparatively to the learning outcome and it can be used in institutional research.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117271172","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}
{"title":"Effects of Collaborative Multimedia Annotations on Elementary School Students' Vocabulary Learning Performance","authors":"Ying-You Lian, Chih-Ming Chen, Yi-Rong Li","doi":"10.1109/IIAI-AAI.2017.52","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.52","url":null,"abstract":"Many studies have focused on developing technology-assisted English vocabulary learning systems to improve English vocabulary learning performance because English vocabulary size critically affects reading fluency. Collaborative reading annotation systems have been verified the effectiveness of promoting reading performance because collaboratively annotating digital texts allows learners to add valued information, share ideas, and create knowledge. However, few have used them to improve English vocabulary learning from collaborative aspects. Therefore, based on a quasi-experimental research method, this work examines how a proposed web-based collaborative reading annotation system with multimedia annotations (WCRASMA) supports three combinations of multimedia annotations including voice and text (VT), voice and picture (VP), and voice, text, and picture (VTP) influences the English vocabulary learning performance and the vocabulary retention of elementary school learners. The results of this work confirm that VTP is the most effective among the three considered combinations of multimedia annotations for English vocabulary learning performance. Learners who use VTP annotations and those using VP annotations greatly outperform those who use VT annotations in the retention of English vocabulary. Learners with a visual cognitive style who use VTP annotations exhibit a higher English vocabulary learning performance and retention than those with a visual cognitive style who use VT annotations. This study also confirms that the positive correlation between number of browsed annotations and vocabulary learning performance exists for VT and VP groups, but the correlation has not been found in VTP group.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122043509","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}
{"title":"Cultivating Students' Good Habit for Writing in a Portfolio Management Game","authors":"Chang-Yen Liao, Wan-Chen Chang, T. Chan","doi":"10.1109/IIAI-AAI.2017.76","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.76","url":null,"abstract":"This study focused on delineating and utilizing habit loop framework: cueing environment, routine, and satisfaction. This study further integrated the habit loop framework into portfolio management game for helping elementary school students to writing and rewriting in order to cultivate good writing habit. We also proposed two design principles: portfolio visualization and management: portfolio visualization and management. The former supported cueing environment; the latter increased satisfaction; students perform their routines (e.g. writing and rewriting) in a portfolio management game.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117081883","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}
{"title":"A Domain-Specific Web Document Re-ranking Algorithm","authors":"Grace Zhao, Xiaowen Zhang","doi":"10.1109/IIAI-AAI.2017.125","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.125","url":null,"abstract":"In order to build a domain-specific knowledge hub for learning on the web, the web resources crawled by generic search engines will need to be sifted and sorted before use. We propose a re-ranking algorithm that recognizes the highly domain relevant web data to feed in the domain knowledge learning hub. The algorithm studies the structure and semantics of the domain ontology (graph) and constructs computational relations among nodes. Through mining matching terms between ontology dictionary and the textual content (text, metadata) of the retrieved documents crawled by some credited web search engines, we calculate three-dimensional information scores - distance, direction, and attributes of each document and subsequently re-rank the retrieved documents to provide learners with more meaningful knowledge in the domain space they embrace.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770305","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}
Hiroki Tanioka, Takafumi Bando, Kenji Matsuura, K. Ohira, M. Sano, T. Ueta
{"title":"Improving Document Availability in Storage","authors":"Hiroki Tanioka, Takafumi Bando, Kenji Matsuura, K. Ohira, M. Sano, T. Ueta","doi":"10.1109/IIAI-AAI.2017.139","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.139","url":null,"abstract":"This paper provides a case study of improving availability for searching documents in an academic facility. Every day some documents are needed for our business and academic activities in the Center for Administration of Information Technology (AIT) in Tokushima University. AIT has been employing and operating Information Security Management System (ISMS) since 2014. ISMS requires to maintain Confidentiality, Integrity and Availability. Particularly, AIT places importance on Availability. However, time-consuming is a problem to find documents in the daily operation. A case study was conducted to put a full-text search engine in the facility, considering the objective and efficiency about finding documents in the file-server. In the process, it was found out that document freshness is important to academic office workers for their job. Then, the effectiveness of a score of TF-IDF with document freshness was assessed. Therefore, availability for finding documents was significantly improved using a full-text search engine with document freshness.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129332665","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}
{"title":"The Open Search.Org in Open Science Era: A Communication Platform for Everyone Building Their Repositories and Using Others","authors":"Li-Ping Ku, Qingwen Bao","doi":"10.1109/IIAI-AAI.2017.221","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.221","url":null,"abstract":"Open Science represents a new approach to scientific process and have attracted attention worldwide. The Open Search.org is built up on the National Science Library, Chinese Academy of Sciences (NSL, CAS) for implementing open science in practice. In this paper, we describe the background, three components, development situation, and the future development vision of the Open Search.org (http://www.open-search.org).","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127502270","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}
{"title":"Detecting Learners' Weak Points Utilizing a Digital Pen","authors":"Kazuya Kishi, Motoki Miura","doi":"10.1109/IIAI-AAI.2017.148","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.148","url":null,"abstract":"We consider that most learners tend to focus on and review only problems they incorrectly answered after performing exercises. To deepen their understanding, it is also necessary for learners to review problems that took time to answer even though they were answered correctly. However, it is difficult to judge which problems took time to answer with an ordinary pen and paper. Therefore, we adopt a digital pen to help learners to recognize parts of a problem that took long to complete. Using the pen-stroke interval data obtained by a digital pen, we can discover the weak points of a learner. In this study, we implemented the method and evaluated it by comparing the weak points extracted by the three methods. The results confirm that the method can detect weak points with an accuracy of about 50% to 60%.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132892026","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}
{"title":"Is it Necessary to Measure Japanese College Students' Social Skills?","authors":"Jonathan Aliponga","doi":"10.1109/IIAI-AAI.2017.48","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.48","url":null,"abstract":"Volumes of research show that social and emotional skills play a central role in shaping student achievement, workplace readiness, and adult wellbeing (Chien, Harbin et al., 2012). Therefore, it is necessary to effectively integrate social and emotional learning into our classrooms and programs. The big challenge is to design a tool to assess the social and emotional skills, which teachers and school administrators can use to help students develop them. This research designs a tool to measure Japanese university students social skills. The tool has five components, which measure social competence, academic self-efficacy, mastery orientation, self-control and persistence. It was pilot-tested to 115 university students and the 20-item tool revealed very high item reliability of .865 ~ .881. The results of the pilot study revealed that although a majority of the students displayed the social behaviors and considered them important to become successful in school, some students did not exert any effort to use those skills because they did not consider them necessary for academic success. Others used those skills, but they thought these social skills were not necessary for making them successful in school.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123242333","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}
Phenpimon Wilairatana, K. Mizutani, Chanongkorn Kuntonbutr, T. Konosu
{"title":"A Study on the Cognitive Process of Isolating Language for Developing Software User Interface","authors":"Phenpimon Wilairatana, K. Mizutani, Chanongkorn Kuntonbutr, T. Konosu","doi":"10.1109/IIAI-AAI.2017.166","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2017.166","url":null,"abstract":"This research focuses on the cognitive process in Thai language because the written nature of Thai language does not have spaces in a sentence like English and does not have Kanji characters as in Japanese. Words will be written continuously until the end of the sentence, which sometimes leads to ambiguity. This research studies the cognitive processing and influence of final consonants and non-final consonants by using word identification tasks to verify the differences in time spent to answer and correct data consisting of 4 main variables: Types of question divided by single words and sentences; Types of option word or word choices divided by words with consonants and without consonants. The level of difficulty was divided into 3 levels: easy, middle, and hard, while the Type of word was divided into 4 types: Uncontrolled, Homophone, Homograph, and Semantic. The differences of average duration for identifying target words were analyzed by ANOVA and t-test that is statistical analysis. The results showed that final consonants work as the space in English is used for separating words and sentences, and can make the Thai language easier. It works as the accelerator of competency in cognition of Thai language and helps learners to receive more precise and faster information.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123290148","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}