• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.511-522
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• 2014

During the development of the software, a variety of bugs are reported. Several bug tracking systems, such as, Bugzilla, MantisBT, Trac, JIRA, are used to deal with reported bug information in many open source development projects. Bug reports in bug tracking system would be triaged to manage bugs and determine developer who is responsible for resolving the bug report. As the size of the software is increasingly growing and bug reports tend to be duplicated, bug triage becomes more and more complex and difficult. In this paper, we present an approach to assign bug reports to appropriate developers, which is a main part of bug triage task. At first, words which have been included the resolved bug reports are classified according to each developer. Second, words in newly bug reports are selected. After first and second steps, vectors whose items are the selected words are generated. At the third step, TF-IDF(Term frequency - Inverse document frequency) of the each selected words are computed, which is the weight value of each vector item. Finally, the developers are recommended based on the similarity between the developer's word vector and the vector of new bug report. We conducted an experiment on Eclipse JDT and CDT project to show the applicability of the proposed approach. We also compared the proposed approach with an existing study which is based on machine learning. The experimental results show that the proposed approach is superior to existing method.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.1-20
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• 2021

This study is the most important component in establishing the court library as the best legal library in Korea responsible for professional legal services. A perception survey was conducted on the target. As a result, first, looking at the collection direction based on the needs of general users, in the case of collection types, preference in the order of books, electronic materials, and non-books should be considered. It seems to be necessary to plan a collection development policy reflecting the high preference for books. In addition, in the non-books section, the preference for non-book materials in the form of video rather than audio is much higher, and in the case of language, domestic books should be collected mainly. Second, looking at the collection direction based on the needs of experts, the satisfaction of experts is generally low, so it seems that a collection development policy should be established to improve this. As for the type of information source, preference was shown in the order of electronic materials, books, and non-books. There is a need. The future collection direction should be based on the preference shown in the order of procedural law, specialized field, basic substantive law, and legal series. Also, when collecting the same book, electronic form of legal data should be considered rather than printed. In addition, it is necessary to collect collections mainly from domestic books, and then, it is expected that the scope of collection should be expanded to prioritize English and American books, Japanese books, and German books.

• Journal of Music and Human Behavior
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• v.3 no.2
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• pp.15-28
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• 2006

Music plays significant roles in the process of human development. The requirement in each process of development can be encouraged by children's participating in various musical activity and so the musical circumstance can make an important factor. Acknowledging that, there were some attempts to use music as a means of treatment or education for children. The subjects of clinic studies in music therapy, especially in Korea, have mainly been children with delay or disability in development. The purpose of this article is focused on collecting and analyzing articles which are written about children who are the main subjects of clinic studies. By collecting and analyzing those articles, the tendency of domestic studies about music therapy concerned with children can be widely examined. Ninety thesis about music therapy related with normal and disabled children have been collected and analyzed considering the subjects, methods, fields of the studies and musical intervention. The conclusions are the same with followings. First, considering the subjects, the studies on children with disabilities are more than normal children and the studies on autistic children occupy the largest portion of them Recently the studies on normal children have been increased as well as the studies on children with disability. Second, for the methods1 experimental studies have been performed more widely than descriptive studies. Third, considering the fields of development, the studies on the social field occupies the largest part of all and they are followed by emotion, language and communication, cognition in turn. Last, in case of musical intervention, it is clear that musical intervention is more used as forms of singing songs and playing instruments than special skills of music. Through this article, the achievements and shortcomings in this territory could be possibly shown at the same time. Moreover, the direction which it has to move toward could be shown.

• Journal of the Korean Society for information Management
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• v.30 no.4
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• pp.61-91
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• 2013

In order to achieve effective human resource development in LIS fields, it is essential to have strategies to nurture and utilize those human resources, in relation to supply and demand as well a sound legal foundation supporting those strategies. Such strategies and legal foundation can only be developed from a complete knowledge of the current status of human resources in the LIS and related industries. This study, therefore, conducted research on the basic employment status, employment environment, and an overall analysis of related issues, in order to address policy implications on the effectiveness of human resource development in the LIS field. This research included the current status of policy environments that involve social environment, and related institutions and laws, and human resources developments as well as the current requirements of librarians in the field, based on a demand survey of LIS employment. It was found that first, there are three distinguishable factors in LIS employment: a feminization of librarianship, an increase in temporary posts, and a high entering ratio into the library workplace. Second, while there were only little differences in the given tasks between full-time and temporary employees, the differences in salary and welfare were considerably larger. Third, field requirements for librarian education included a mentoring system with field experts, short-term internships, and librarian apprenticeships, while job requirements included internship or apprenticeship, language skills, various license acquisition, and career management. Fourth, librarians with licenses for related organizations held 20% more librarian licenses overall.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.141-147
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• 2012

The purpose of the study is the acquisitions of knowledge related in job searching from local companies and job seekers using data mining techniques. At the first step, for the study, we had selected the local companies their headquarters are located in Jeonbuk province. Then we had picked the graduating students out from the high schools, colleges, and universities in the same area as the job seekers. After the targeting of the sample, we had surveyed 560 local companies and 14 schools for the collecting of the preliminary data. As the result of the survey, we could collect 173 responses from the companies and 551 responses from the job seekers. At the second step using data mining, we had adapted the C5.0 algorithm to extract the inference rules. Then we had used the Visual Basic (VB) programming language to visualize the rules at the third step. At the fourth step, we transformed the inference rules into DB tables. At the final step, we had executed the rule inferences to support the development of the long-term human resources development (HRD) strategies. As the result of the study, we could suggest the helpful information to the HRD directors and job seekers in designing their strategies in managing their jobs and career development.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.31-44
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• 2008

The 1st phase framework data implementation of National Geographic Information Systems (NGIS) used 1:5,000 digital map with 5 years updating period which is lacking in the latest information. This is a significant factor which hinders the use of framework data. This study proposed the efficient technical method of a location based object data management and system implementation for updating framework data. First, we did an object-oriented data modeling and database design using a location based features identifier(UFID: Unique Feature IDentifier). The second, we developed the system with various functions such as a location based UFID creation, input and output, a spatial and attribute data editing, an object based data processing using UML(Unified Modeling Language). Finally, we applied the system to the study area and got high quality data of 99% accuracy and 35% benefit effect of personnel expenses compare to the previous method. We expect that this study can contribute to the maintenance of national framework data as well as the revitalization of various GIS markets by providing user the latest framework data and that we can develop the methods of a feature-change modeling and monitoring using an object based data management.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1400-1418
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• 2020

In the development of commercial promotion, chatbot is known as one of significant skill by application of natural language processing (NLP). Conventional design methods are using bag-of-words model (BOW) alone based on Google database and other online corpus. For one thing, in the bag-of-words model, the vectors are Irrelevant to one another. Even though this method is friendly to discrete features, it is not conducive to the machine to understand continuous statements due to the loss of the connection between words in the encoded word vector. For other thing, existing methods are used to test in state-of-the-art online corpus but it is hard to apply in real applications such as telemarketing data. In this paper, we propose an improved chatbot design way using hybrid bag-of-words model and skip-gram model based on the real telemarketing data. Specifically, we first collect the real data in the telemarketing field and perform data cleaning and data classification on the constructed corpus. Second, the word representation is adopted hybrid bag-of-words model and skip-gram model. The skip-gram model maps synonyms in the vicinity of vector space. The correlation between words is expressed, so the amount of information contained in the word vector is increased, making up for the shortcomings caused by using bag-of-words model alone. Third, we use the term frequency-inverse document frequency (TF-IDF) weighting method to improve the weight of key words, then output the final word expression. At last, the answer is produced using hybrid retrieval model and generate model. The retrieval model can accurately answer questions in the field. The generate model can supplement the question of answering the open domain, in which the answer to the final reply is completed by long-short term memory (LSTM) training and prediction. Experimental results show which the hybrid word vector expression model can improve the accuracy of the response and the whole system can communicate with humans.

• Journal of Advanced Navigation Technology
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• v.16 no.5
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• pp.864-870
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• 2012

Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.630-640
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• 2019

This Study analysed subjective perceptions of culinary arts major students who participated in overseas employment program for providing vital information for future program development. The study adopted Q methodology as an analogizing tool and found four distinctive types. The first type is Link to Domestic Employment Type(Type 1, N=6), the second type is Finding New Enterprise needed Type(Type 2, N=8), the third one is Major Customized Language Education Demand Type(Type 3, N=3), and the last one is Major Divided Education Demand Type(Type 4, N=2). The results indicated that importance of establishing a bridge between overseas employment and domestic employment with providing specific information of domestic job recruiting process. It is also emphasized that informing extra available job placements for the students is vital. Lastly when the sub program were formed, it is necessary to divide students based on not only overseas employment destination but also their major.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.8
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• pp.783-790
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• 2019

Cognitive science attempts to explain human intelligence on the basis of success of artificial neural network, which is called connectionism. The neural network, e.g., deep learning, seemingly promises connectionism to go beyond what it is. But those(Fodor & Pylyshyn, Fodor, & McLaughlin) who advocate classical computationalism, or symbolism claim that connectionism must fail since it cannot represent the relation between human thoughts and human language. The neural network lacks systematicity, so any output of neural network is at best association or accidental combination of data plugged in input units. In this paper, I first introduce structure of artificial neural network and what connectionism amounts to. Second, I shed light on the problem of systematicity the classical computationalists pose for the connectionists. Third, I briefly introduce how those who advocate connectionism respond to the criticism while noticing Smolensky's theory of vector product. Finally, I examine the debate of computationalism and connectionism on systematicity, and show how the problem of systematicity contributes to the development of connectionism and computationalism both.