• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1271-1284
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• 2014

This paper classifies technical, administrative and physical areas of defects and advices made by an external audit (ISO27001) and internal audit (performed by a security team) in a company which has the management system of information security. With the classified data it finds the correlation between the budget and investment of information security, and analyze the correlation. As a result of the analysis, it has been found that as time goes on there is a consistent correlation between a administrative area and technical area of security. Specially, it has been confirmed that the relation between the scale of the budget which is not executed and the number of the defects and advices made by the audit is in direct proportion. Therefore, in this paper, so as to provide a model that can be used for validating the effectiveness of the protective investment information by statistically calculating the similarity based on the results of correlation analysis. This research is intended to help that a company makes a precise decision when it establishes a policy of information security and systematic methodology of the investment in information security.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.1
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• pp.1-8
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• 2017

Given a multi-dimensional dataset of tuples, a skyline query returns a subset of tuples which are not 'dominated' by any other tuples. Skyline query is very useful in Big data analysis since it filters out uninteresting items. Much interest was devoted to the MapReduce-based parallel processing of skyline queries in large-scale distributed environment. There are three requirements to improve parallelism in MapReduced-based algorithms: (1) workload should be well balanced (2) avoid redundant computations (3) Optimize network communication cost. In this paper, we introduce MR-SEAP (MapReduce sample Skyline object Equality Angular Partitioning), an efficient angular space partitioning based skyline query processing using sampling-based pruning, which satisfies requirements above. We conduct an extensive experiment to evaluate MR-SEAP.

• Journal of Satellite, Information and Communications
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• v.6 no.2
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• pp.72-77
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• 2011

Spectrum sensing is a critical functionality of CR network; it allow secondary user to detect spectral holes and to opportunistically use under-utilized frequency bands without causing harmful interference to primary use. Recently, wideband service has been increase for processing abundance of data traffic. So CR network needs a realizable implementation design of spectrum sensing for wideband. To get high resolution performance of wideband sensing must precede algorithm processing for reliability signal detection. By the way, the performance of spectrum sensing can be degraded due to fading and shadowing. In order to overcome this problem, we propose system model of wideband sensing scheme on energy detected collaborative technique. we divide wideband into narrowbands and use narrowbands to detect signal excepting some narrowbands including bad channel through the CSI. And we simulate and analyze in terms of detection probability with various SNR.

• Journal of the Korean Society for Nondestructive Testing
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• v.36 no.3
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• pp.217-224
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• 2016

This paper presents a new technique for monitoring the concrete curing process using embedded piezoelectric transducers via admittance measurements. When a piezoelectric transducer is embedded in a structure, the electrical impedance (admittance) of the transducer is coupled with the mechanical impedance of the host structure, which allows monitoring of the structural condition. In this study, the admittance signatures are used for monitoring the concrete curing process. This new method is based on an admittance-based sensor diagnostic process, in which the capacitance values of the piezoelectric transducers are dependent on the strength of the host structure. We numerically and experimentally investigated the variations in capacitive value during the curing process. The results demonstrate that there is a clear relationship between the concrete curing status and the slope, this indicates that the proposed method could be efficiently used for monitoring the curing status of a concrete structure.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2183-2188
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• 2009

This paper describes an automatic mesh generation system for finite element analysis of three-dimensional cracks. It is consisting of fuzzy knowledge processing, bubble meshing and solid geometry modeler. This novel mesh generation process consists of three sub-processes: (a) definition of geometric model, i.e. analysis model, (b) generation of bubbles, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional crack structures. Bubble is generated if its distance from existing bubble points is similar to the bubble spacing function at the point. The bubble spacing function is well controlled by the fuzzy knowledge processing. The Delaunay method is introduced as a basic tool for element generation. Practical performances of the present system are demonstrated through several mesh generations for 3D cracks.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.401-406
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• 2011

In order to solve a complex optimization problem more efficiently than traditional approaches, various meta-heuristic algorithms such as genetic algorithm, ant-colony algorithm, and harmony search algorithm have been extensively researched. Compared with other meta-heuristic algorithm, harmony search algorithm shows a better result to resolve the complex optimization issues. Harmony search algorithm is inspired by the improvision process of musician for most suitable harmony. In general, the performance of harmony search algorithm is determined by the value of harmony memory considering rate, and pitch adjust rate. In this paper, modified harmony search algorithm is proposed in order to derive best harmony. If the optimal solution of a specific problem can not be found for a certain period of time, a part of original harmony memory is updated as the selected suitable harmonies. Experimental results using test function demonstrate that the updated harmony memory can induce the approximation of reliable optimal solution in the short iteration, because of a few change of fitness.

• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.108-117
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• 2008

The appearance of the large distribution facility of large enterprise putting first reaches get to the various effect until change of leisure life and life pattern of the consumers from the distribution industry of the interior of a country. Competition of the distribution facility upgrade of the distribution facility and it shows the aspect which becomes the semi-department store, and construction cost is appearing different in proportion to each form or scale. Therefore, purpose of this study was to facilitate amicable construction progress between the owner and the builder through estimating the proper construction cost. This study investigated and analyzed the actual cost of 15 domestic distribution facilities and these datums were used to estimate the proper construction cost. This cost shows that from new project accomplishment through analysis of prediction construction cost for feasibility study from initial plan and design step and can be utilizable elementary data bH decision method to whether or not to propriety of distribution facilities business.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.145-154
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• 2012

This paper analyzed the characteristics of traffic accidents in all tunnels on nationwide freeways and selected some various independent variables related to accident occurrence in tunnels. The study aims to develop reliable accident forecasting models using the various dependent variables such as the number of accident (no.), no./km, and no./MVK. Finally, reliable multiple linear regression models were proposed in this paper. This study tested the validity verification of developed models through statistics such as $R^2$, F values, multicollinearity, residual analysis. The paper selected the accident forecasting models considering the characteristics of tunnel accidents and two models were finally proposed according to two groups of tunnel length. In the selected models, natural logarithm of ln(no./MVK) is used for the dependent variable and AADT, vertical slope, and tunnel hight are used for the independent variables. The reliability of two models was proved by the comparison analysis between field data and estimating data using RMSE and MAE. These models may be not only effective in evaluating tunnel safety under design and planning phases of tunnel but also useful to reduce traffic accidents in tunnels and to manage the traffic flow of tunnel.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.382-382
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• 2017

최근 전 세계적으로 가뭄 재해가 증가함에 따라 국내의 경우 가뭄상황을 모니터링하기 위하여 다양한 유관 기간에서 가뭄정보시스템을 활용하여 가뭄지수를 공간지도 형태로 제공하고 있다. 기상청 수자원공사 농어촌공사 등에서 기상/수문/농업관련 가뭄지수의 위험지도를 실시간으로 제공하고 있으며 각 지표별로 수문기상학적 특징과 용수공급시설 및 수요공급의 이수상황 등을 고려하여 활용하고 있다. 하지만 제공되고 있는 가뭄지수의 공간분포는 지점 자료를 기반으로 내삽기법 (interpolation)을 통해 재 산정된 지도로 공간 해상도 측면에서 조악한 해상도를 갖고 있다. 이와 같은 한계점을 보완하기 위하여 시 공간적으로 특성이 동일한 광범위한 지역에 대한 정보를 주기적으로 제공 가능하다는 측면에서 위성영상자료를 활용한 가뭄모니터링 연구의 필요성이 요구된다. 본 연구에서는 위성영상을 이용한 식생 정보 및 기후 정보 생물물리학적 정보를 활용한 식생가뭄반응지수 (Vegetation Drought Response Index in Korea VegDRI-Korea)를 제시하고 국내의 적용성 검증을 위하여 국내 주요 가뭄 사상을 대상으로 시공간적 가뭄상황을 분석하였다. 식생가뭄반응지수는 유역단위 또는 행정구역 단위별로 실시간 가뭄 상황을 분석할 수 있는 고해상도 위성영상 기반의 가뭄지수로써 향후 한반도 전역의 가뭄모니터링 및 주기적인 모니터링을 통해 가뭄예상지역 판단에 대한 의사결정지원에 활용할 수 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.241-241
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• 2017

기후변화로 인하여 강우의 불확실성이 가중되고 홍수, 가뭄 등 물 관련 재해의 발생빈도 및 강도가 증가함에 따라 안정적인 용수공급 등 수자원 관리 및 운영에 어려움을 겪고 있어 예측기반의 수자원 계획 및 운영이 요구되고 있는 실정이다. 우리나라 기상청에서는 2010년 6월 영국기상청과 장기 계절예측시스템의 구축 및 운영에 관한 협정을 체결하였으며 2014년부터 전지구 계절예측시스템 GloSea5(Global seasonal forecasting system version 5)을 현업에 활용하고 있다. GloSea5 모델은 대기(UM), 지면(JULES), 해양(NEMO), 해빙(CICE) 모델이 커플러(OASIS)에 의해 결합된 통합 시스템으로 일단위 자료로 제공된다. 현재 수자원 분야에서는 장기예보자료가 제공되고 있음에도 불구하고 장기예보자료의 불확실성 및 수문 모형 입력자료로의 활용 어려움, 예측자료의 검증 미흡 등으로 기상청에서 제공하는 장기예보를 참고할 뿐 실제로는 과거 관측자료를 기반한 빈도해석 결과를 활용하여 댐 운영 계획을 수립하고 있는 실정이다. 따라서, 본 연구에서는 GloSea5모델에서 제공되는 일 단위 예측 강수량을 수자원 장기이수계획 및 관리에 활용하고자 GloSea5모델의 예측력을 평가하고 수치모델이 가지는 시스템 에러에 대하여 편의보정 및 지점 상세화를 수행하였다. 본 연구의 분석결과는 향후, 저수지 운영계획 및 증가하는 물수요와 불확실한 공급에 대한 의사결정 지원, 가뭄 대비를 위한 물 공급 제한 등에 활용 가능할 것으로 판단된다.