Kyushu Institute of Information Sciences
Fukuoka, Japan

Kyushu Institute of Information science is a private university in Dazaifu, Fukuoka, Japan, established in 1998. Wikipedia.

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Baba K.,Fujitsu Limited | Nakatoh T.,Kyushu University | Minami T.,Kyushu Institute of Information Sciences
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

Plagiarism detection in documents requires appropriate definition of document similarity and efficient computation of the similarity. This paper evaluates the validity of using vector representation of words for defining a document similarity in terms of the processing time and the accuracy in plagiarism detection. This paper proposes a plagiarism detection algorithm based on the score vector weighted by vector representation of words. The score vector between two documents represents the number of matches between corresponding words for every possible gap of the starting positions of the documents. The vector and its weighted version can be computed efficiently using convolutions. In this paper, two types of vector representation of words, that is, randomly generated vectors and a distributed representation generated by a neural network-based method from training data, are evaluated with the proposed algorithm. The experimental results show that using the weighted score vector instead of the normal one for the algorithm can reduce the processing time with a slight decrease of the accuracy, and that randomly generated vector representation is more suitable for the algorithm than the distributed representation in the sense of a tradeoff between the processing time and the accuracy. © Springer International Publishing AG 2017.

Minami T.,Kyushu Institute of Information Sciences | Ohura Y.,Kyushu Institute of Information Sciences | Baba K.,Fujitsu Limited
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

It is often pointed out that students’ academic performance becomes worse. Lack of professors’ teaching ability is often considered its major cause, and universities promote faculty development programs. According to our observation, however, the major cause is rather on student’s side, such as lack of motivation, diligence, and other attitudes toward learning. In this paper, we focus on diligence. Diligence is quite important for students to learn effectively. Among various kinds of diligence, we take two kinds of them into consideration; the length of answer text to a questionnaire, and the amount of submitted homework assignments. We investigate how these kinds of diligence of students relate each other, and how they relate to the examination score. © Springer International Publishing AG 2017.

Goda K.,Kyushu Institute of Information Sciences | Mine T.,Kyushu University
CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education | Year: 2011

Learning activity plays important role in enhancing one's knowledge and skill. There are many ways to acquire and extract learning activities of students from their learning information; we focus on comments handwritten in their attendance sheets. It is easy for teachers to collect the sheets every class and for students to write their activities as comments. The sheets consequently provide time-series text data related to students; such the data are treasures because the comments and the questionnaire reflect their learning activities directly and indirectly. We propose a method called a PCN method for quantifying the comments into triple showing inferred learning activities student by student. Case studies illustrate the validity of the PCN method.

Minami T.,Kyushu Institute of Information Sciences
Proceedings of the IADIS International Conference Information Systems 2013, IS 2013 | Year: 2013

The first aim of this paper is to make a modeling framework of the interest area of a library patron by utilizing library's circulation records. In other words, to profile a person with his/her interest field. Interest area profiling is not only interesting of itself but also useful for library when it chooses purchasing books, for professors when they give lectures, and for other people. The eventual goal of the study presented in this paper is to develop various data analysis methods that provide with useful tips in assisting people, including library patrons, as they learn. The second aim is to develop some useful analysis tools for such pedagogical purpose, especially for analyzing the library data and lecture data. In this paper we propose a concept of virtual faculty of a member of university, which is defined based on the interest area profile of a patron and a faculty. We also give a comparative study between patron and faculty. Even though the approach and analysis methods presented in this paper are in the primitive stage of the research toward this direction, they have a high potential and are expected to be developed to be matured and be practical in the future. © 2013 IADIS.

Minami T.,Kyushu Institute of Information Sciences | Minami T.,Kyushu University
Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 | Year: 2012

In this paper we deal with estimating the ranks of library books in their expertise levels. The estimated ranking score is applicable to library-provided learning assistant service. Due to the advancement of information society, library is expected to change in order to meet the patrons' needs. Helping patrons with learning is a key service for libraries. We put emphasis on the learning material recommendation facility for assisting learning patrons and we put focus on material book's expertise level estimation for recommending the material(s) to be learned to the patrons in this paper. As the very first step toward this direction we propose two candidate measures for expertise level ranking, calculate the books expertise level ranking scores, compare them, and evaluate the potential usefulness of this approach. Even though the precision is not yet very high right now, we are expecting the measure can become more precise in the future research and thus becomes practically applicable to libraries. © 2012 IEEE.

Goda K.,Kyushu Institute of Information Sciences | Hirokawa S.,Kyushu University | Mine T.,Kyushu University
SIGITE 2013 - Proceedings of the 2013 ACM SIGITE Annual Conference on Information Technology Education | Year: 2013

To grasp a student's lesson attitude and learning situation and to give a feed back to each student are educational foundations. Goda et al. proposed the PCN method to estimate a learning situation from a comment freely written by students[6, 7]. The PCN method categorizes comments into three items of P (previous), C(current) and N(next). They pointed out a correlation between the student's final results and the validity of a descriptive content of item C, that is something related to understanding of the lesson and learning attitudes to the lesson. However, a problem left in their work is the badness of performance in prediction for upper grade students. This paper proposes two manners of utilization of PCN scores: the validity level determination for assessment, and for prediction performance of students' final grades. In order to validate the proposed manners of utilization, we conducted two experiments. First, we employed multiple regression analysis to calculate PCN scores that determine the validity level with respect to each viewpoint. Students who wrote comments with a high PCN score are considered as those who describe their learning attitude appropriately. We also applied a machine learning method SVM (support vector machine) to students' comments for predicting their final results in five grades of S, A, B, C and D. Experimental results illustrated that as comments of students get higher PCN scores, the prediction performance of the students' grades becomes higher. © 2013 ACM.

Murakami H.,Kyushu Institute of Information Sciences
International Journal of Global Warming | Year: 2012

This paper proposes a set of Advanced Sunlight Shield Equipment (ASSE) composed of a flat balloon with an attitude control function. Balloon's surface has a mirror function. When ASSE is deployed in the stratosphere, its surface reflects sunlight to space effectively. The gross area of many sets of ASSE amounts to about 2.6 × 106 square kilometre, and when they are deployed, the global average atmospheric temperature value decreases by about 0.7 degrees centigrade. A total cost of ASSE for the average atmospheric temperature decrease is roughly estimated, and it is 1 to 30 ×10 10 euro/year. Copyright © 2012 Inderscience Enterprises Ltd.

Minami T.,Kyushu Institute of Information Sciences | Kim E.,Kyushu Institute of Information Sciences
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

Due to the progress of information and communication technology, our society is changing very quickly. Along with this, people's requirements to information are not only changing vigorously but also have a huge variety in their forms. As a result it becomes more and more difficult for the libraries to provide their patrons with appropriate information services. In this paper, we demonstrate the usefulness of the concept of library marketing through some examples; especially with some analysis methods for seat-usage, or seat-occupation, data in library. We investigate what seats are more preferred than others and try to deduce tips for better seat arrangement, combination of different types of seats, etc. Even though our research is in a very early stage so that we could not infer that good suggestions to better seat arrangements, we believe in its importance and it would propose the best solution in seat design in the future. © 2011 Springer Berlin Heidelberg.

Goda K.,Kyushu Institute of Information Sciences | Mine T.,Kyushu University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

These days, many university teachers are concerned about the increasing number of students whose motivation is declining. Some of them fall into a situation that they cannot recover from by themselves, and require assistance, but they hesitate to call for help. In order to recognize such students quickly and give guidance to them in class, we have collected time-series comments in the classroom and analyzed them. In the analysis, we divided the comments into the three time slots: P (Previous), C (Current), and N (Next), and quantify them so that we can infer the learning behaviors between the previous and the current classes. We call this analysis method the PCN method. The PCN method is useful for grasping students' learning status in the class. Some of our case studies illustrate the validity of the PCN method. © 2011 Springer-Verlag.

Minami T.,Kyushu Institute of Information Sciences | Baba K.,Kyushu University
Proceedings of the 7th IADIS International Conference Information Systems 2014, IS 2014 | Year: 2014

Along with the development of ICT (Information and Communications Technology) and popularization of mobile devices, the information environment of our society has radically changed. As a result, the library's role model also needs to be changed. It is necessary to develop new information services as of e-library at the same time to enrich the currently providing services. Among the various types of e-library services, the most important ones are those of personalized services reflecting the patron's profile such as his/her interest knowledge fields, knowledge level, preferences, etc. The approach we take as the first step toward this direction is to analyze the loan records of library for extracting the patron's interest area information as a profile, and then we understand what the patrons want. We define the interest area based on the decimal classification (DC) categories and use the ratios of books borrowed in these categories as the patron's interest area profile. In this paper, we investigate the correlations of DC categories, and we redefine the profile of a patron so that to understand his/her profile more exactly. The studies in this direction are considered to be useful in developing better elibrary services. © 2014 IADIS.

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