• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.04a
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• pp.316-317
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• 1999

• Journal of the Korean Operations Research and Management Science Society
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• v.4 no.1
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• pp.79-86
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• 1979

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1991.10a
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• pp.24-24
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• 1991

• Construction Engineering and Management
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• v.12 no.6
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• pp.59-66
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• 2011

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.145-168
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• 2009

The basic rights of the public for sustaining public accountability relations between public sector organizations and the citizens is the accessibility to information of public sector organizations. Public organizations in Korea get checked under multiple public accountability relations, which increases steadily the information provision requests from stakeholders. To respond these requirements effectively and efficiently, public sector organizations are required to transform their information management regime to comply with accountability-oriented settings. This study (1) suggests procedures and methods to select 'information for accountability' from the organization's whole information as an important object to be managed, (2) suggests procedures and methods to establish control criteria for the organization to manage its information for accountability in appropriate ways, and (3) gives an example of applying the procedures and methods to the specific context of universities' information disclosure. The procedures and methods suggested are described from a viewpoint of the consulting for the accountability information management regime.

• International Journal of Highway Engineering
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• v.15 no.5
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• pp.91-99
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• 2013

PURPOSES : This study aims at proposing the methodology for benefit evaluations in pavement maintenance methods and timings using KoPMS(Korean Pavement Management System) software which was developed for efficient pavement management. METHODS : This study classified pavement sections into 4 clusters considering AADT(Annual Average Daily Traffic) and ESAL(Equivalent Single-Axle Load) using cluster analysis and used the deterioration models in each cluster. Increased user costs due to pavement deterioration as time goes by and agent costs for maintenance were estimated. Based on deterioration model and KoPMS software, Methodology for benefit evaluation was proposed in pavement maintenance methods and with/without implementation using real pavement section data. RESULTS : This study verified that considering agent costs only would be constrained to decide pavement maintenance methods and timings, and ascertained that decision making with agent and user costs would be effective. In addition, this study revealed that pavement maintenance methods and timings can be affected by AADT and ESAL and frequent pavement maintenances can be more efficient for benefits in pavement sections with more AADT and ESAL. Also this study found that user costs would be more affected to decision making than agent costs. Moreover, Delay of conducting pavement maintenance caused increased vehicle operating costs and environmental costs because of poor conditions of pavements. CONCLUSIONS : This study proposed LCCA and benefit estimation methodology of pavement with considering agent and user costs. The results of this study can be used for baseline data of efficient pavement asset management.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.115-127
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• 2008

The Native API is a system call which can only be accessed with the authentication of the administrator. It can be used to detect a variety of malicious codes which can only be executed with the administrator's authority. Therefore, much research is being done on detection methods using the characteristics of the Native API. Most of these researches are being done by using supervised learning methods of machine learning. However, the classification standards of Anti-Virus companies do not reflect the characteristics of the Native API. As a result the population data used in the supervised learning methods are not accurate. Therefore, more research is needed on the topic of classification standards using the Native API for detection. This paper proposes a method for re-grouping malicious codes using fuzzy clustering methods with the Native API standard. The accuracy of the proposed re-grouping method uses machine learning to compare detection rates with previous classifying methods for evaluation.

• Journal of Environmental Science International
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• v.14 no.12
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• pp.1119-1127
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• 2005

The management of data on biological diversity is presently complex and confusing. This study was initiated to construct a database so that such data could be stored in a data management, and analysis instrument to correct the problems inherent in the current incoherent storage methods. MySQL was used in DBMS(DataBase Management System), and the program was basically produced using Java technology Also, the program was developed so people could adapt to the requirements that are changing every minute. We hope this was accomplished by modifying easily and quickly the advanced programming technology and patterns. To this end, an effective and flexible database schema was devised to store and analyze diversity databases. Even users with no knowledge of databases should be able to access this management instrument and easily manage the database through the World Wide Web. On a basis of databases stored in this manner, it could become routinely used for various databases using this analysis instrument supplied on the World Wide Web. Supplying the derived results by using a simple table and making results visible using simple charts, researchers could easily adapt these methods to various data analyses. As the diversity data was stored in a database, not in a general file, this study makes the precise, error-free and high -quality storage in a consistent manner. The methods proposed here should also minimize the errors that might appear in each data search, data movement, or data conversion by supplying management instrumentation on the Web. Also, this study was to deduce the various results to the level we required and execute the comparative analysis without the lengthy time necessary to supply the analytical instrument with similar results as provided by various other methods of analysis. The results of this research may be summerized as follows: 1)This study suggests methods of storage by giving consistency to diversity data. 2)This study prepared a suggested foundation for comparative analysis of various data. 3)It may suggest further research, which could lead to more and better standardization of diversity data and to better methods for predicting changes in species diversity.

• Journal of Korean Society of Forest Science
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• v.108 no.4
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• pp.582-591
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• 2019

This study was conducted to develop low-cost, simplified slope stabilization methods for the continuous utilization of skid trails, and to analyze the effect of the developed methods. Slope stabilization methods were created on the fill slopes of skid trails in the Forest Technology and Management Research Center of the National Institute of Forest Science.We measured the settlement and bearing capacity of skid trail surfaces, and the displacement of slope stabilization methods with respect to the number of passes (maximum 100 passes) by a logging truck weighing 17 tons. The constancy of slope stabilization methods was determined by measuring displacement of the stabilization structure with respect to the number of logging truck passes. Results showed that the bearing capacity in most cases was insufficient, but that the settlement of skid trails was less than 150 mm, which was considered reasonable. In addition, the stability of root staking wallswas somewhat low, but the average displacements of all slope stabilization methods were generally around 20 mm or less, indicating no issues regarding structural stability. By applying the simplified stabilization methods to skid trail maintenance following timber harvesting, efficient timber harvesting can be achieved. Additionally, these methods can be utilized as permanent forest management infrastructures and complement insufficient forest road facilities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.5990-6008
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• 2019

Recognizing license plate from its traffic camera captured images is one of the most important aspects in many traffic management systems. Despite many sophisticated license plate recognition related algorithms available online, license plate recognition is still a hot research issue because license plates in each country all round the world lack of uniform format and their camera captured images are often affected by multiple adverse factors, such as low resolution, poor illumination effects, installation problem etc. A novel method is proposed in this paper to solve the inclination problem of license plates in their camera captured images through four parts: Firstly, special edge pixels of license plate are chosen to represent main information of license plates. Secondly, least square methods are used to compute the inclined angle of license plates. Then, coordinate rotation methods are used to rotate the license plate. At last, bilinear interpolation methods are used to improve the performance of license plate rotation. Several experimental results demonstrated that our proposed method can solve the inclination problem about license plate in visual aspect and can improve the recognition rate when used as the image preprocessing method.