• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.686-693
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• 2011

Small-to-medium retailers in local neighborhood have been managing to survive without outside influence. However rapid change in business environment including consumer needs for goods and the quality of life has brought turbulence into retail business. Petty retailers are facing a crisis as large-sized discount stores owned by big enterprises are entering into traditional markets. To protect small-to-medium retailers from such threats and revive the traditional commercial markets the government is taking on the policy of subsidizing small-to-medium businesses. However, recent emergence of SSM (an industrialized supermarket in forms of direct management and affiliation) in local commercial areas has brought about conflicts and frictions between large companies and local merchants. Under this background this study attempted to make an analysis of vulnerable factors of small-to-medium retailers coping with SSM and probe for the alternatives to SSM business restructuring.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.674-682
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• 2011

The multi-function console system in ships has currently exposed operational difficulties due to its complex interfaces although it supports a variety of functionalities. In this paper the concept of a human computer interaction (HCI) based multi-function console system is proposed, which can support intuitive operation environments by the analysis of users' needs to shipboard systems. Expert interviews and surveys are carried out in order to obtain users' requirements. Through the survey results, the HCI based multi-function console system is conceptually designed, which is optimized to the input of multi-touch screen. It is expected that the HCI based multi-function console system can provide ship operators with easy interfaces to the console system as well as safe operation in a rough ocean environment.

• Journal of the Society of Disaster Information
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• v.10 no.2
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• pp.320-334
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• 2014

The government policy had placed new construction as the kernel of the investment in the road department. This had been shifted, however, since the government's budget of the road department reached its peak in 2000, new construction had came to a downsizing phase while the maintenance increased gradually. Considering this recent trend, the necessity of a new paradigm in the road policy had came to a fore, in order to prove the justification of increase in the maintenance budget as well as successfully fulfill the user's needs in the service quality. The developed countries that had intensively constructed social infrastructure in 1950-60s are enjoying a great achievement by applying the asset management concept in coping with the deterioration of the public facilities. This research suggests the basic framework in establishing "Korean Road Asset Management System" designed to efficiently manage the national road. The main feature of this system is to absorb economic analysis course into the current pavement management system, in order to form not only long-lasting but also preventive road management policy.

• Journal of the Society of Disaster Information
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• v.13 no.4
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• pp.570-576
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• 2017

Trucks take up more portions than cars on highways. Due to this, road use relatively diminish and it serves locally as a threatening factor to nearby drivers. Baggage car accident has distinct characteristics so that it needs the application of different analysis opposed to ordinary accidents. Accident prediction model, one of accident analyses, is used to predict the numbers of accident in certain parts, establish traffic plans as well as accident prevention methods, and diagnose the danger of roads. Thus, this study aims to apply the accident rate of baggage car on highways and calculate the correction factor to be put in the accident prediction models. Accident data based on highway was collected and traffic amounts and accident documents between 2014 and 2016 were utilized. The author developed an accident prediction model based on numbers of annual accidents and set mean annual and daily traffic amounts. This study intends to identify the practical accident prediction model on highway and present an appropriate solution by comparing the prediction model in accords with the accident rate between baggage cars.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.327-333
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• 2014

The rapid expansion of the software industry has brought a serious security threat and vulnerability. Many softwares are constantly attacked by exploit codes using security vulnerabilities. Smart fuzzing is automated method to find software vulnerabilities. However, Many resources are consumed in fuzzing, because the fuzzing needs to create data model for target software and to analyze a data file and software binary. Therefore, The automated method for efficient smart fuzzing is needed to develop the automated data model. In this paper, through analysing the input file format and optimizing the data structure, we propose an efficient data modeling framework for smart fuzzing and implement the framework for detect software vulnerabilities.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.778-804
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• 2017

Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.2
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• pp.245-262
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• 2018

It is critical for public libraries to use service manuals to provide library services to the disabled. This research investigated librarians' opinion and discerned their utilization and importance of the current service manuals. Also, the study identified librarians' needs and priority of each component of the current manuals. According to the practitioners' evaluation, 'installation of convenience facility' was derived as the most important factor that should be described in detail. In addition, this study suggested that the interpretation of the critical factors should be different regarding to the each library type. The research also suggested various ways to raise low awareness and utilization of the current library manuals for the disabled.

• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.861-871
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• 2019

Landsat satellite images have been increasingly used for disaster damage analysis and disaster monitoring because they can be used for periodic and broad observation of disaster damage area. However, periodic disaster monitoring has limitation because of areas having missing data due to clouds as a characteristic of optical satellite images. Therefore, a study needs to be conducted for restoration of missing areas. This study detected and removed clouds and cloud shadows by using the quality assessment (QA) band provided when acquiring Landsat-8 images, and performed image restoration of removed areas through a spatial and temporal adaptive reflectance fusion (STARFM) algorithm. The restored image by the proposed method is compared with the restored image by conventional image restoration method throught MLC method. As a results, the restoration method by STARFM showed an overall accuracy of 89.40%, and it is confirmed that the restoration method is more efficient than the conventional image restoration method. Therefore, the results of this study are expected to increase the utilization of disaster analysis using Landsat satellite images.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.197-206
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• 2019

In this study, we analyzed the effects of data visualization education with using Python on the improvement of computing thinking ability of the 6th grade students of elementary school. Based on the results of the needs analysis of 60 elementary school teachers and 120 elementary school students, we developed the data visualization education program. In the developed educational program, 24 elementary school students were trained for 6 days and 36 hours in total. Thereafter, students were subjected to pre- and post-comparison tests. As a result of the analysis, it was found that the data visualization education with using Python is effective in improving the Computational cognition, Fluency, Originality, Elaboration of the 6th grade students in elementary school.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.3
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• pp.267-290
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• 2019

The purpose of this study is to investigate the current status and condition of continuing education to improve professionalism of school library and to suggest ways to improve continuing education. The survey was conducted for 69 librarians and school librarians teachers in elementary, middle and high school libraries in Goyang, Gyeonggi-do, and frequency analysis and cross analysis were conducted. The research results are as follows. First, the study found that librarians have a high interest in and participation in continuing education. Second, the type of continuing education with the highest percentage of participation was short-term training and training courses, and the link between educational content and practice was low. Third, managers' awareness needs to be improved, and regional constraints and the lack of suitable continuing education programs are the obstacles to continuing education. Fourth, preference for continuing education during working hours and vacation was emphasized. Through this, it was suggested that continuous and long-term continuing education, policy support for encouraging continuing education, development of continuing education courses for professionalism, manager's awareness call.