{"title":"Positioning of the Research-Doctorate Programs in the American Higher Education Market: Universities Offering Electrical and Compuer Engineering Programs at the West Region","authors":"Soichiro Aihara","doi":"10.1109/IIAI-AAI.2016.145","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.145","url":null,"abstract":"The purpose of this study is to visualize positioning of the research-doctoral programs in the American three-dimensional higher education market structure. This study is a secondary analysis of data by the National Research Council, A Data-Based Assessment of Research-Doctorate Programs in the United States (2011). This database assess doctoral programs with three-dimensional indicators, those are Research Activity, Student Support & Outcomes, and Diversity. This means that we can postulate research-doctoral programs in the America have positioning in search of niche in the three-dimensional higher education market structure. IR officers develop their management plan for positioning in this market structure. Prospective doctoral student make an attendance choice with the positioning of programs in this market structure. In this study, the positioning visualize to the 27 universities which offer the Electronical and Computer Engineering programs that is one of a subfield of Engineering at the West region. As the threshold of 80-position of the research activities, it is possible to divide the universities into two groups: Group 1 and Group2. Group1 is research-oriented universities. There is correlation between research productivity and education productivity. Group2 is education-oriented universities. There are many state universities and there are no correlation between research productivity and education productivity. As to Diversity, there are universities at both Groups. It seems to, however, universities that diversity is at upper rank are also Student Support & Outcomes is at upper rank.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127510115","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":"Brick-Up Metaheuristic Algorithms","authors":"Qun Song, S. Fong","doi":"10.1109/IIAI-AAI.2016.100","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.100","url":null,"abstract":"Metaheuristic algorithms have been a very important topic in computer science since the start of evolutionary computing the Genetic Algorithms 1950s. By now these metaheuristic algorithms have become a very large family with successful applications in industry. A challenge which is always pondered on, is finding the suitable metaheuristic algorithm for a certain problem. The choice sometimes may have to be made after trying through many experiments or by the experiences of human experts. As each of the algorithms have their own strengths in solving different kinds of problems, in this paper we propose a framework of metaheuristic brick-up system. The flexibility of brick-up (like Lego) offers users to pick a collection of fundamental functions of metaheuristic algorithms that were known to perform well in the past. In order to verify this brickup concept, in this paper we propose to use the Monte Carlo method with upper confidence bounds applied to a decision tree in selecting appropriate functional pieces. This paper validates the basic concept and discusses the further works.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006377","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":"SWOT Analysis and Complex Network Analysis to Enhance Governance in Universities by Collaboration between Academic and Administrative Faculty","authors":"Kunihiko Takamatsu, Takafumi Kirimura, Kenya Bannaka, Ikuhiro Noda, Kenichiro Mitsunari, Masato Omori, Ryohei Adachi, Tadashi Nakamura, Yasuo Nakata","doi":"10.1109/IIAI-AAI.2016.207","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.207","url":null,"abstract":"This article examines the improvement in collaboration between faculty and staff at the Kobe Tokiwa University using SWOT analysis and complex network analysis. The Kobe Tokiwa University established the Research Cooperative Division (RCD). RCD has faculty and staff, and two members that are both faculty and staff. In the last decade, the Japanese Government and Ministry of Education, Culture, Sports, Science and Technology (MEXT) highlighted the importance of collaborative work between faculty and staff to improve governance at universities. We focus on collaborative work between faculty and staff and identify strengths and weaknesses of our university using a SWOT analysis and complex network analysis.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"21 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131574816","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 Plight of Development Tourism Marketing in Disaster Area","authors":"Kuo-Hsun Liao, Li-Fang Yu, Sheau-Hwa Chen","doi":"10.1109/IIAI-AAI.2016.21","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.21","url":null,"abstract":"When the aborigine community be hit by the natural disaster, the residents only can choose to leave their house or stay to restart. Tongmen village, in Hualien County, chose to initiate the River Restoration project. However, it is hard to resist the foreign merchants to get involved in free market and contest the interests from management with local community residents. In the end, tourism revenue is parceled out by the foreign merchants. Only a minority of the residents can make revenue from tourism. Nevertheless, most of them sustain financial losses instead of make revenue from it. To deal with this unequal managerial mode, the government appoints a team of experts to plan a scheme for business management and aid the community in founding the management model. However, this scheme is boycotted by those opponents in this community. Those residents who disapproved of this scheme arrange a conference for community, intend to clarify the management and administrative rights, and shut those residents and organization that plan this scheme together for more than a decade out from this conference. At this stage, this case indicates that the \"top-down\" guidance policy towards this community is failed. Moreover, it presents that the policy on setting up ecological scenic spot is extremely difficult to be executed with the problems like uneven distribution of benefits.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131793803","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":"Editing Unfit Questions in Q&A","authors":"Andrew W. Vargo, S. Matsubara","doi":"10.1109/IIAI-AAI.2016.83","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.83","url":null,"abstract":"Community editing is an effective tool for improving contributions in peer production communities like Wikipedia and question-answer (Q&A) communities. However, the mechanisms behind who edits and why is not well understood. Previous studies have focused on the effectiveness of editing and emergent hierarchies in editing communities. What is unknown is how editing is executed in a system that contains gamified motivations for contributing edits. In this paper, we examine participants editing unfit questions on Stack Overflow (SO), a large computer programming Q&A community. The combination of SO's community and reputation system with the dynamics of unfit questions allows us to examine how different actors behave. We find that early edits come from high-reputation users who do not participate as a questioner or answerer, indicating that these users work to retain certain questions. These results suggest that high-reputation user actions can be used to identify bad questions that have archival quality..","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129890471","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":"Detection of Abnormalities in Driving Style Based on Moving Object Trajectories without Labels","authors":"Tian-Hsiang Huang, V. Nikulin, Liang-Bi Chen","doi":"10.1109/IIAI-AAI.2016.92","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.92","url":null,"abstract":"Being able automatically recognize the driving style is a very important and challenging task with many practical applications, including insurance. Note that hand labelling of the driving trajectories represents a very time-consuming task. To overcome this problem, we can reduce thousands of variable-length trajectories to the traditional rectangular format, using quantile-based technique. After that we can apply standard classifier to compare trajectories, corresponding to the particular driver, with trajectories of a few randomly selected drivers. We are assuming here that the most of the drivers have safe driving style with similar statistical characteristics. By comparing the current driver with a few randomly selected “good” drivers, we estimate the probability that the current driver is bad (or has significant deviations from usual statistical characteristics). Note as a distinguished particular feature of the presented method: it does not require availability of the training labels. The database includes 2736 drivers with 200 variable length driving trajectories each. We tested our model (with competitive results) online during Kaggle-based AXA Drivers Telematics Challenge in 2015.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134039132","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":"Automatic Extraction and Prediction of Word Order Errors from Language Learning SNS","authors":"Brendan Flanagan, S. Hirokawa","doi":"10.1109/IIAI-AAI.2016.59","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.59","url":null,"abstract":"Recent research into writing tools to support foreign language learners of English has focused on prevalent errors in learner writing, while other errors, such as word order errors, have received little attention. As the word order of some languages are similar, there are also large differences between languages which can affect foreign language learning. In this paper, we automatically extract corrected sentences that contain word order errors samples from a language learning SNS to create a word order error corpus for machine learning. This corpus is then analyzed to train and evaluate the effectiveness of SVM classifiers to automatically classify word order errors in learner writing.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134081336","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":"Improving Metaheuristics by Natural Selection","authors":"R. Tang, Qun Song, S. Fong, R. Wong","doi":"10.1109/IIAI-AAI.2016.103","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.103","url":null,"abstract":"In this paper, the famous phrase \"survival of the fittest\" by Darwin is applied to modify the design of metaheuristic algorithms for improving their performance. Put simply, coined in Darwin's The Origin, the concept of 'natural selection' (NS) is about stronger species in nature will have better chances of survival and reproduction, allowing the species to carry forward their viable offspring's to future generations. Genetic algorithm is a direct implementation of this concept. However, for population-type of swarming algorithms such as particle search optimization (PSO) and wolf search algorithm (WSA), for the first time this concept is formulated as a strategy called NS strategy for controlling the lifespans of the search agents. PSO and WSA represent two typical kinds of metaheuristics, whereas a group of search agents follow some moving patterns of fully swarm with global and local velocities and semi-swarm respectively. In both kinds, guided by the NS strategy, the search agents will have a differential lifetimes depending on the fitness values that they can generate during the search. Productive agents are granted longer lives and vice-versa. Superior results are observed from benchmarking experiments for metaheuristics algorithms that are programmed with the NS strategy over their original versions.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129418900","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":"Lip-Movement Based Speaker Recognition Focused on the Distributed Structure of Lip-Movement Data","authors":"Masatsugu Ichino","doi":"10.1109/IIAI-AAI.2016.200","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.200","url":null,"abstract":"A speaker recognition method is presented that uses the distributed structure of lip-movement data. It overcomes the degradation in accuracy of a previous method based on the kernel mutual subspace method due to the genuine samples being close to those of other persons. The degradation in accuracy results from the strong nonlinearity of the distribution. This degradation is reduced by increasing the weights of the samples near the cluster centers. Evaluation of the proposed method demonstrated that it outperforms other person authentication methods based on lip movement.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130149263","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":"Constructing Corpus of Scientific Abstracts Annotated with Sentence Roles","authors":"Takafumi Yamamoto, Yoichi Tomiura","doi":"10.1109/IIAI-AAI.2016.205","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.205","url":null,"abstract":"We aim to facilitate the search for relevant academic papers according to various aspects such as the “objective” and “result”. We constructed an annotated corpus consisting of the abstracts of approximately 6300 papers written in Japanese. We labeled the sentences according to their roles such as “objective” and “result” to construct an automatic sentence role classifier in abstracts. In this paper, we describe the definition of the sentence roles (the coding frame) and report some statistical properties of the constructed annotated corpus.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114405136","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}