• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.655-667
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• 2014

A disaster is the time-excess case that computerized service can tolerate a failure and financial industry is being set up the disaster recovery system based on the disaster recovery plan and the business continuity plan for preparing these disasters. However, existing system can not guarantee the business continuity when it comes to cyber terror. This paper analyzes the building type and building technology of disaster recovery system for the financial fields. Also this paper explain the type of data backup using online redo log and type of archive log backup using WORM storage. And this paper proposes the model of improved data recovery combining above two types. Lastly this paper confirm the effectiveness and reliability for proposal rocovery model through the implementation of the test environment.

• The Korean Journal of Archival Studies
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• no.65
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• pp.321-363
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• 2020

Throughout the 70 years of division, cultural heterogeneity between the two Koreas is accelerating. Under these circumstances, the archive of the everyday life of North Koreans could contribute to understanding the North. Here, everyday life is defined as social space where various practices and actions of individuals intersect with the social structure including institutions, social control, norms, and order. The purpose of the study is to apply this concept of everyday life to design an archive-building model rich in evidence and memories of everyday life in North Korea. To this end, a methodology that takes into account the characteristics of everyday life is needed, which is called 'cultural archiving'. By applying the 'cultural archiving' methodology, a model that includes the principles and procedures for building everyday life archives in North Korea is proposed. This also investigates how each building process could be applied through actual example(a database of life, culture, and history in North Korea). In addition, the actual case ("Database of Living History and Culture in North Korea for the Foundation of Unified Korea") is investigated as to how each construction procedure could be applied.

• Journal of Digital Contents Society
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• v.9 no.2
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• pp.235-244
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• 2008

The purpose of this paper is to analyze and compare the existing digital media asset management systems and develop a prospective implementation model. As a result of conducting this research, it is recommended that the prospective system consists of an archiving server, a processing server, and an interface system. This result suggests important starting point to develop a resonable and reliable implementation model for digital media asset management system.

• The KIPS Transactions:PartC
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• v.16C no.3
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• pp.307-316
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• 2009

RFID technique which is recognizable without the physical contact between the reader and the tag is the core to archive ubiquitous environment, and has been attracting a lot of interest from both industry and academic institutes. Especially, RFID based logistic service management can get the low priced cost and the advancement of the appointed date of delivery. In this paper, we first analyze security requirements of international logistics process, and then propose a RBAC based security model and represent access control constraints using UML.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.457-458
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• 2007

Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer poor performance of learning. To archive good clustering performance, we develop a hybrid neural network model. It is the combination of Multi-Layer Perceptron (MLP) and Adaptive Resonance Theory 2 (ART2). It inherits two distinct advantages of stability and plasticity from ART2. Meanwhile, by combining the merits of MLP, it improves the performance for clustering. Experiment results show that our model can be used for clustering with promising performance.

• Journal of computational fluids engineering
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• v.15 no.2
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• pp.21-27
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• 2010

Immersed boundary lattice Boltzmann method (IBLBM) has been applied to simulate a turbulent flow over circular cylinder in a flow field effectively. Although IBLBM is very effective method to simulate the flow over a complex shape of obstacle in the flow field regardless of the constructed grids in the calculation domain, the results, however, become numerically unstable in high reynolds number flow. The most effective suggestion to archive the numerical stability in high Reynolds number flow is applying the multiple relaxation time (MRT) model instead of single relaxation time(SRT) model in the collision term of lattice Boltzmann equation. In the research MRT model for IBLBM was introduced and comparing the numerical results obtained by applying SRT and MRT. The hydraulic characteristic of cylinder in a flow field between two parallel plate at the range of $Re{\leqq}2000$represented and it is also compared the drag and lifting coefficients of the cylinder calculated by IBLBM with SRT and MRT model.

• Nuclear Engineering and Technology
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• v.51 no.4
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• pp.1060-1068
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• 2019

This work aims to establish a model of a primary water stress corrosion crack growth rate of Alloy 690 material for the head penetration nozzles of Korean pressurized water reactors. The test material had an inhomogeneous microstructure with bands of fine-grains and intragranular carbides in the matrix of coarse-grains, which was similar to the archive materials of the head penetration nozzles. The crack growth rate was measured from the strain-hardened materials as a function of the stress intensity factor in simulated primary water at various temperatures and dissolved hydrogen contents. The effects of strain-hardening, temperature, and dissolved hydrogen on the crack growth rate were analyzed independently, and were then introduced as normalizing factors in the crack growth rate model. The crack growth rate model proposed in this work provides a key element of the tools needed to assess the progress of a stress corrosion crack when detected in thick-wall Alloy 690 components in Korean reactors.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.1
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• pp.115-137
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• 2020

This study aims to examine the limitations of status that describe archives based on the Archival rules, and to propose a new method using the Records in Context - Conceptual model (RiC-CM) as a solution. Given this, the study conducted literature reviews and case studies. The solutions based on RiC-CM and its effects on the limitations of the existing environment are as follows. First, RiC-CM can describe multiple provenances about archives. This can be solved by defining individual records and provenances as "entity" and expressing their associations as relationships. The interrelation of entities alone can more accurately represent the information of provenances associated with a particular archive, making it easier to identify the overall context that makes records. Second, RiC-CM can link related files. Those that belong to a specific records group (fonds) can be resolved by assigning them to individual entities and making interrelation according to the context that makes records. This method makes it possible to serve information about the context that makes records. From the user's point of view, more options are available for searching records. Third, RiC-CM can link all relevant producer-made records related to a specific production organization. If organizations are related to each other, they can be defined as "entity," and their relationship can be expressed as "associated with." It helps to comprehensively examine the context of provenances. The findings of this study are expected to be used as a basis for future research on RiC-CM, in response to the paradigm shift for electronic records management systems.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.12
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• pp.1960-1965
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• 2001

In the practical design, it is important to extract the design space information of a complex system in order to optimize the design because the design contains huge amount of design conflicts in general. In this research FEA (finite element analysis) has been successfully implemented and integrated with a statistical approach such as DOE (design of experiments) based RSM (response surface model) to optimize the thermal deformation of an automotive disk brake. The DOE is used for exploring the engineer's design space and for building the RSM in order to facilitate the effective solution of multi-objective optimization problems. The RSM is utilized as an efficient means to rapidly model the trade-off among many conflicting goals existed in the FEA applications. To reduce the computational burden associated with the FEA, the second-order regression models are generated to derive the objective functions and constraints. In this approach, the multiple objective functions and constraints represented by RSM are solved using the sequential quadratic programming to archive the optimal design of disk brake.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.1
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• pp.51-57
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• 2020

The fighter pilot uses radar mounted on the fighter to obtain high-resolution SAR (Synthetic Aperture Radar) images for a specific area of distance, and then the pilot visually classifies targets within the image. However, the target configuration captured in the SAR image is relatively small in size, and distortion of that type occurs depending on the depression angle, making it difficult for pilot to classify the type of target. Also, being present with various types of clutters, there should be errors in target classification and pilots should be even worse if tasks such as navigation and situational awareness are carried out simultaneously. In this paper, the concept of operation and functional structure of radar system for fighter jets were presented to transfer the SAR image target classification task of fighter pilots to radar system, and the method of target classification with high accuracy was studied using the CNN ensemble model to archive higher classification accuracy than single CNN model.