Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.251
M. Penhaker, Radka Geyerova, J. Kubícek, M. Augustynek, Katerina Panackova, V. Novák
This work deals with the user interface assessment of weariness and vigilance diagnosis. The goal of this work was to Establish the algorithm for assessment and statistical evaluation of mental performance effected, would vigilance. Individual tests are performed in graphic form and focus on memory and reaction time. Test results are stored in a structured database. The system compares the results in five age categories. It is one of the few instruments that are capable of analyzing objectively lack of sleep or sleep disorders occurrence. The application is designed for all ages, although older generation may be a problem with computer operation. The Measured medical information are statistically processed and compared with normal values selected group of people. The program was completed and tested on 92 people in collaboration with University Hospital Ostrava and were created classification groups.
{"title":"Weariness and Vigilance Data Mining Using Mobile Platform Assessment","authors":"M. Penhaker, Radka Geyerova, J. Kubícek, M. Augustynek, Katerina Panackova, V. Novák","doi":"10.1109/IIAI-AAI.2016.251","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.251","url":null,"abstract":"This work deals with the user interface assessment of weariness and vigilance diagnosis. The goal of this work was to Establish the algorithm for assessment and statistical evaluation of mental performance effected, would vigilance. Individual tests are performed in graphic form and focus on memory and reaction time. Test results are stored in a structured database. The system compares the results in five age categories. It is one of the few instruments that are capable of analyzing objectively lack of sleep or sleep disorders occurrence. The application is designed for all ages, although older generation may be a problem with computer operation. The Measured medical information are statistically processed and compared with normal values selected group of people. The program was completed and tested on 92 people in collaboration with University Hospital Ostrava and were created classification groups.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127302232","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.147
A. Shimoda, Taro Yabuki
A global niche top (GNT) company has globally high market share in a specific field. While specializing in the limited field and aiming at a high share, a scale is secured aimed at the world market. This strategy attracts attention for small and medium-sized enterprises whose management resources are restricted. However, since those companies have various target fields, understanding the common success factor only by analyzing each example is difficult. Moreover, it is difficult for a selection-type questionnaire to understand the success factor in various fields. In this study, we attempted to clarify success factors by analyzing the free description data written about GNT companies using text mining. As a result, information related to success factors of various types of industries was acquired.
{"title":"Success Factors in Global Niche Top Companies: Analysis of Free Description Data Using Text Mining","authors":"A. Shimoda, Taro Yabuki","doi":"10.1109/IIAI-AAI.2016.147","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.147","url":null,"abstract":"A global niche top (GNT) company has globally high market share in a specific field. While specializing in the limited field and aiming at a high share, a scale is secured aimed at the world market. This strategy attracts attention for small and medium-sized enterprises whose management resources are restricted. However, since those companies have various target fields, understanding the common success factor only by analyzing each example is difficult. Moreover, it is difficult for a selection-type questionnaire to understand the success factor in various fields. In this study, we attempted to clarify success factors by analyzing the free description data written about GNT companies using text mining. As a result, information related to success factors of various types of industries was acquired.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129982490","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.227
Tetsuya Nakatoh, Hayato Nakanishi, Toshiro Minami, K. Baba, S. Hirokawa
A survey of related work is an important task for every researcher, and databases of scientific articles are indispensable for this task. This paper proposes a new visualization method for search results and demonstrates a system that implements this method. Given a query, the system returns a list of articles and displays a time series of citation counts (CCs) for each article. The novelty of the visualization is in its use of CC for the horizontal axis and focused CC (FCC) for the vertical axis. A scatter plot of the article reveals how the article was evaluated.
{"title":"Bibliometric Search with Focused Citation Ratios","authors":"Tetsuya Nakatoh, Hayato Nakanishi, Toshiro Minami, K. Baba, S. Hirokawa","doi":"10.1109/IIAI-AAI.2016.227","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.227","url":null,"abstract":"A survey of related work is an important task for every researcher, and databases of scientific articles are indispensable for this task. This paper proposes a new visualization method for search results and demonstrates a system that implements this method. Given a query, the system returns a list of articles and displays a time series of citation counts (CCs) for each article. The novelty of the visualization is in its use of CC for the horizontal axis and focused CC (FCC) for the vertical axis. A scatter plot of the article reveals how the article was evaluated.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128882833","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.244
Kazuki Mori, T. Nguyen, Tomohiro Harada, R. Thawonmas
This paper presents an improvement of bounded-SVD bias - a matrix factorization (MF) method for recommender systems. In bounded-SVD bias, the bound constraints are included in the objective function, which ensures that they are satisfied during the optimization process. As shown in one of our previous work, this helps bounded-SVD bias outperform an existing MF method with bound constraints, called Bounded Matrix Factorization. However, there is one issue with bounded-SVD bias that it is prone to overfitting. In this work, we introduce a new term to the objective function of bounded-SVD bias that can help it avoid overfitting. We also perform various experiments using real-world datasets, the results of which show an improvement in terms of accuracy and thus the superiority of the proposed method.
{"title":"An Improvement of Matrix Factorization with Bound Constraints for Recommender Systems","authors":"Kazuki Mori, T. Nguyen, Tomohiro Harada, R. Thawonmas","doi":"10.1109/IIAI-AAI.2016.244","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.244","url":null,"abstract":"This paper presents an improvement of bounded-SVD bias - a matrix factorization (MF) method for recommender systems. In bounded-SVD bias, the bound constraints are included in the objective function, which ensures that they are satisfied during the optimization process. As shown in one of our previous work, this helps bounded-SVD bias outperform an existing MF method with bound constraints, called Bounded Matrix Factorization. However, there is one issue with bounded-SVD bias that it is prone to overfitting. In this work, we introduce a new term to the objective function of bounded-SVD bias that can help it avoid overfitting. We also perform various experiments using real-world datasets, the results of which show an improvement in terms of accuracy and thus the superiority of the proposed method.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130512953","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}
It is difficult for learning models to achieve high classification performance with imbalanced data sets. To conquer the problem, this study presents a strategy involving the reduction of size of majority data set and the generation of synthetic samples of minority data set. Parkinson's disease data set is used to examine and to compare the performance of classification methods. The paired t-tests are also used to show the effectiveness of the proposed method compari.ng with that of the other methods.
{"title":"A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets","authors":"Chun-Wu Yeh, Der-Chiang Li, Liang-Sian Lin, Tung-I Tsai","doi":"10.1109/IIAI-AAI.2016.20","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.20","url":null,"abstract":"It is difficult for learning models to achieve high classification performance with imbalanced data sets. To conquer the problem, this study presents a strategy involving the reduction of size of majority data set and the generation of synthetic samples of minority data set. Parkinson's disease data set is used to examine and to compare the performance of classification methods. The paired t-tests are also used to show the effectiveness of the proposed method compari.ng with that of the other methods.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123797317","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.146
Kosuke Kawabata, M. Okada, N. Mori, Kiyota Hashimoto
Generally, evaluations in customer reviews are shown with text and score. In addition, there are 2 kinds of scored evaluations, which are a comprehensive evaluation and topic evaluations. However, topic evaluations are not often given by reviewers. Therefore, it is required to estimate the evaluations. In this paper, we researched a performance of estimation by SVM. Furthermore, we compared results of estimation by SVM and scanning with dependency relation tree. The result shew that precision of estimation by each method is low. On the other hand, the result shew that precision in positive score is over about 70% in each topic.
{"title":"A Proposal of a Method to Automatically Estimate Evaluations of Various Topics of Travelers' Reviews","authors":"Kosuke Kawabata, M. Okada, N. Mori, Kiyota Hashimoto","doi":"10.1109/IIAI-AAI.2016.146","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.146","url":null,"abstract":"Generally, evaluations in customer reviews are shown with text and score. In addition, there are 2 kinds of scored evaluations, which are a comprehensive evaluation and topic evaluations. However, topic evaluations are not often given by reviewers. Therefore, it is required to estimate the evaluations. In this paper, we researched a performance of estimation by SVM. Furthermore, we compared results of estimation by SVM and scanning with dependency relation tree. The result shew that precision of estimation by each method is low. On the other hand, the result shew that precision in positive score is over about 70% in each topic.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132709356","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.214
Sachiko Nakagawa, Hiroshi Akutsu, Y. Tsuchiya, N. Matsuhira, M. Narita
Recently, the concern with tourism destination marketing, which is conducted marketing research from a point of view from a tourism destination, has been growing. We developed a stamp-rally and questionnaire service using robots, with the aim of applying to the marketing research of tourist site and visitors of an exhibition. This robot-service is able to obtain the information and status of tourists by multiple robots, able to aggregate these data, and able to provide them to the stakeholders such event organizers in real time via the Internet. In this paper, we report two evaluation experiments in big events held on TOKYO Big Sight. In addition, we verify the effectiveness of our stamp-rally and questionnaire survey service using robots and devices, and verify the utilization of data obtained.
{"title":"Demonstration Experiments of a Robot Service of Stamp-Rally and Questionnaires for Tourism Destination Marketing","authors":"Sachiko Nakagawa, Hiroshi Akutsu, Y. Tsuchiya, N. Matsuhira, M. Narita","doi":"10.1109/IIAI-AAI.2016.214","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.214","url":null,"abstract":"Recently, the concern with tourism destination marketing, which is conducted marketing research from a point of view from a tourism destination, has been growing. We developed a stamp-rally and questionnaire service using robots, with the aim of applying to the marketing research of tourist site and visitors of an exhibition. This robot-service is able to obtain the information and status of tourists by multiple robots, able to aggregate these data, and able to provide them to the stakeholders such event organizers in real time via the Internet. In this paper, we report two evaluation experiments in big events held on TOKYO Big Sight. In addition, we verify the effectiveness of our stamp-rally and questionnaire survey service using robots and devices, and verify the utilization of data obtained.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116747337","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.121
Junji Kinoshita, Kazuhiro Maeda, H. Yabusaki, Kenta Akune, N. Komoda
To achieve high-performance and platform-independent network virtualization among multiple service infrastructures in service providers' data centers, we propose hardware gateway-based data center network virtualization architecture where we place a gateway on each service infrastructure and inter-connect them using overlay network virtualization.
{"title":"Realization of VXLAN Gateway-Based Data Center Network Virtualization","authors":"Junji Kinoshita, Kazuhiro Maeda, H. Yabusaki, Kenta Akune, N. Komoda","doi":"10.1109/IIAI-AAI.2016.121","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.121","url":null,"abstract":"To achieve high-performance and platform-independent network virtualization among multiple service infrastructures in service providers' data centers, we propose hardware gateway-based data center network virtualization architecture where we place a gateway on each service infrastructure and inter-connect them using overlay network virtualization.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123676834","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.193
Fu Suro, Y. Ono
The purpose of this study is to show how EFL learners work on Text-to-speech (TTS) technology to improve their speaking accuracy. We constructed the system for improving speaking proficiency based on Web-Speech API. Usually, text-to-speech is available on the net or by using TTS applications in education. However, these sounds produced are not generally customized to the diversity of learners' learning strategies. The system constructed in the study makes it possible for learners to choose the words, phrases sentences or the passage they like to listen to for their speaking practice. Major findings that came out from this study are: (i) As to the easier materials, accuracy improvement was observed regardless of their proficiency, (ii) On the contrary, as to the difficult materials, such an improvement was not observed in the experiment, and (iii) there is diversity of how they worked on the system, and there are some patterns in their learning behaviors, Bottom-uppers and Top-downers. These findings suggest the usefulness of the current system for various types of learners in terms of learning strategies and a future possibility from a learning analytic point of view to modify the system.
{"title":"Japanese EFL Learners' Uses of Text-to-Speech Technology and Their Learning Behaviors: A Pilot Study","authors":"Fu Suro, Y. Ono","doi":"10.1109/IIAI-AAI.2016.193","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.193","url":null,"abstract":"The purpose of this study is to show how EFL learners work on Text-to-speech (TTS) technology to improve their speaking accuracy. We constructed the system for improving speaking proficiency based on Web-Speech API. Usually, text-to-speech is available on the net or by using TTS applications in education. However, these sounds produced are not generally customized to the diversity of learners' learning strategies. The system constructed in the study makes it possible for learners to choose the words, phrases sentences or the passage they like to listen to for their speaking practice. Major findings that came out from this study are: (i) As to the easier materials, accuracy improvement was observed regardless of their proficiency, (ii) On the contrary, as to the difficult materials, such an improvement was not observed in the experiment, and (iii) there is diversity of how they worked on the system, and there are some patterns in their learning behaviors, Bottom-uppers and Top-downers. These findings suggest the usefulness of the current system for various types of learners in terms of learning strategies and a future possibility from a learning analytic point of view to modify the system.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121983037","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}
Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.221
A. Koike, T. Ohba, Ryota Ishibashi
Internet of Things (IoT) is now considered as a key driving force for achieving next generation social systems. Several approaches have been proposed to achieve effective IoT communications, where each device has very limited communication capabilities. One such approach is the introduction of short packets for a lightweight communication protocol by which we can form a local area sensor network dedicated to IoT devices and can achieve effective packet processing, reducing power consumption, and minimizing bandwidth occupancy. The short packet can solve problems regarding local networks but creates another problem for the wide area Internet, where various devices and local networks are converged. We propose an aggregation scheme that makes it possible to reduce power consumption and packet processing loads caused by a huge amount of short packets. We focus on the wide area Internet with our proposed scheme to support IoT traffic more efficiently.
{"title":"IoT Network Architecture Using Packet Aggregation and Disaggregation","authors":"A. Koike, T. Ohba, Ryota Ishibashi","doi":"10.1109/IIAI-AAI.2016.221","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.221","url":null,"abstract":"Internet of Things (IoT) is now considered as a key driving force for achieving next generation social systems. Several approaches have been proposed to achieve effective IoT communications, where each device has very limited communication capabilities. One such approach is the introduction of short packets for a lightweight communication protocol by which we can form a local area sensor network dedicated to IoT devices and can achieve effective packet processing, reducing power consumption, and minimizing bandwidth occupancy. The short packet can solve problems regarding local networks but creates another problem for the wide area Internet, where various devices and local networks are converged. We propose an aggregation scheme that makes it possible to reduce power consumption and packet processing loads caused by a huge amount of short packets. We focus on the wide area Internet with our proposed scheme to support IoT traffic more efficiently.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123934456","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}
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