• Nuclear Engineering and Technology
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• 제43권5호
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• pp.413-420
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• 2011

In Korea, although the concept of dry storage system for PWR spent fuels first emerged in the early 1990s, wet storage inside nuclear reactor buildings remains the dominant storage paradigm. Furthermore, as the amount of discharged fuel from nuclear power plants increases, nuclear power plants are confronted with the problem of meeting storage capacity demand. Various measures have been taken to resolve this problem. Dry storage systems along with transportation of spent fuel either on-site or off-site are regarded as the most feasible measure. In order to develop dry storage and transportation system safety analyses, development of design techniques, full scale performance tests, and research on key material degradation should be conducted. This paper deals with two topics, structural analysis methodology to assess cumulative damage to transportation packages and the effects of an aircraft engine crash on a dual purpose cask. These newly emerging issues are selected from among the many technical issues related to the development of transportation and storage systems of spent fuels. In the design process, appropriate analytical methods, procedures, and tools are used in conjunction with a suitably selected test procedure and assumptions such as jet engine simulation for postulated design events and a beyond design basis accident.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4204-4222
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• 2015

Cloud is the latest buzz word in the internet community among developers, consumers and security researchers. There have been many attacks on the cloud in the recent past where the services got interrupted and consumer privacy has been compromised. Denial of Service (DoS) attacks effect the service availability to the genuine user. Customers are paying to use the cloud, so enhancing the availability of services is a paramount task for the service provider. In the presence of DoS attacks, the availability is reduced drastically. Such attacks must be detected and prevented as early as possible and the power of computational approaches can be used to do so. In the literature, machine learning techniques have been used to detect the presence of attacks. In this paper, a novel approach is proposed, where intelligent rule based feature selection and classification are performed for DoS attack detection in the cloud. The performance of the proposed system has been evaluated on an experimental cloud set up with real time DoS tools. It was observed that the proposed system achieved an accuracy of 98.46% on the experimental data for 10,000 instances with 10 fold cross-validation. By using this methodology, the service providers will be able to provide a more secure cloud environment to the customers.

• 유통과학연구
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• 제13권8호
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• pp.27-40
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• 2015

Purpose - Total Quality Management (TQM) has received significant attention and interest from a large number of organizations around the world in various industries. These organizations have tried to embody TQM concepts in areas such as engineering and product design, marketing, R&D, procurement, production, personnel, and product inspection. Research design, data, and methodology - This study presents an overview of the fundamentals of TQM and an in depth review of the obstacles to the successful implementation of TQM. Results - In order to control the cost of manufacturing, the tracking of the cost of quality (COQ) allows companies to capture the actual overall cost incurred in producing a unit of product or service. The study explores the reasons why companies track the COQ and ways to address it. Conclusions - Based on the results, COQ is one of the key performance indicators for making more accurate strategic decisions as well as a critical aspect of TQM. The study also presents a few popular quality improvement tools that have been widely used in organizations successfully implementing TQM.

• Earthquakes and Structures
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• 제7권1호
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• pp.17-38
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• 2014

As the desire for high performance buildings increases, it is increasingly evident that engineers require reliable methods for the estimation of seismic demands on both structural and non-structural components. To this extent, improved tools for the prediction of floor spectra would assist in the assessment of acceleration sensitive non-structural and secondary components. Recently, a new procedure was successfully developed and tested for the simplified construction of floor spectra, at various levels of elastic damping, atop single-degree-of-freedom structures. This paper extends the methodology to multi-degree-of-freedom (MDOF) supporting systems responding in the elastic range, proposing a simplified modal combination approach for floor spectra over upper storeys and accounting for the limited filtering of the ground motion input that occurs over lower storeys. The procedure is tested numerically by comparing predictions with floor spectra obtained from time-history analyses of RC wall structures of 2- to 20-storeys in height. Results demonstrate that the method performs well for MDOF systems responding in the elastic range. Future research should further develop the approach to permit the prediction of floor spectra in MDOF systems that respond in the inelastic range.

• 한국컴퓨터정보학회논문지
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• 제11권5호
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• pp.1-8
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• 2006

효율적인 네트워크 운용을 위해 트레픽를 측정하는 일은 중요하다. 흔히 용량(capacity)은 트레픽 부하가 없을 때 경로가 제공할 수 있는 최대처리량 또는 경로상의 모든 링크 간의 최소 전송율로서 정의된다. Pathrate는 현재 가장 널리 사용되는 네트워크 용량 측정 도구 중의 하나로써 네트워크의 일시적인 부하에 관계없이 정확한 측정을 할 수 있고 수년간의 개발과 보완으로 성능도 안정되어 있다. Pathrate에서의 Local Mode 검출에는 통계적 방법이 사용되는데 본 논문에서는 ASH(Averaged Shifted Histogram)을 이용한 Local Mode 검출 알고리즘을 제시하고, 구현을 통해 기존의 방법보다 더 나은 결과를 얻었음을 보였다.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.319-328
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• 2021

Parallel administration of numerous drugs increases Drug-Drug Interaction (DDI) because one drug might affect the activity of other drugs. DDI causes negative or positive impacts on therapeutic output. So there is a need to discover DDI to enhance the safety of consuming drugs. Though there are several DDI system exist to predict an interaction but nowadays it becomes impossible to maintain with a large number of biomedical texts which is getting increased rapidly. Mostly the existing DDI system address classification issues, and especially rely on handcrafted features, and some features which are based on particular domain tools. The objective of this paper to predict DDI in a way to avoid adverse effects caused by the consumed drugs, to predict similarities among the drug, Drug pair similarity calculation is performed. The best optimal weight is obtained with the support of KHA. LSTM function with weight obtained from KHA and makes bets prediction of DDI. Our methodology depends on (LSTM-KHA) for the detection of DDI. Similarities among the drugs are measured with the help of drug pair similarity calculation. KHA is used to find the best optimal weight which is used by LSTM to predict DDI. The experimental result was conducted on three kinds of dataset DS1 (CYP), DS2 (NCYP), and DS3 taken from the DrugBank database. To evaluate the performance of proposed work in terms of performance metrics like accuracy, recall, precision, F-measures, AUPR, AUC, and AUROC. Experimental results express that the proposed method outperforms other existing methods for predicting DDI. LSTMKHA produces reasonable performance metrics when compared to the existing DDI prediction model.

• 지능정보연구
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• 제27권4호
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• pp.49-71
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• 2021

문제해결을 위해 지식을 활용하는 사용자는 내용 면에서 관련된 또 다른 지식, 즉 연관지식에 대한 교차적이고 순차적인 탐색을 진행한다. 지식지도는 관리하는 지식의 현황을 보여주는 도식이자 지식저장소의 분류체계로서, 지식 간 연관성에 기반한 사용자의 지식 탐색을 지원하는 도구이다. 따라서 지식지도는 지식 간 연관성에 의한 네트워크 형식으로 표현되며, 이를 정의 및 추론하는 데에 최적화된 기술을 접목하여 구현되어야 한다. 이를 위해 본 연구는 관리하는 개체와 개체 간 관계를 표현 및 추론하는 데에 최적화된 기능성을 발휘하는 것으로 알려진 그래프DB를 이용하여 지식그래프 기반 지식지도를 개발하는 방법론을 제시한다. 제시된 방법론의 유효성을 확인하기 위하여, 선행 연구의 온톨로지 기반 지식지도 구축 사례 데이터를 그래프DB에 적용하여 지식그래프 기반 지식지도를 구현하고, 구현된 지식 네트워크의 유효성과 Class 자동 구성 능력을 선행 연구의 결과와 비교하는 성능 테스트를 진행한다. 성능 테스트 결과, 본 연구의 지식그래프 기반 지식지도는 선행 연구의 온톨로지 기반 지식지도와 동일한 수준의 성능을 나타냈으며, 지식 및 지식 간 관계 정의 및 추론을 더욱 효율적으로 진행할 수 있음을 확인하였다. 본 연구의 결과는 연관지식에 대한 사용자의 인지과정을 반영한 지식 탐색 기능의 구현에 활용될 수 있으며, 추론에 의한 새로운 연관지식의 발견을 통해 자율적으로 확장되는 지능적 지식베이스의 개발에 응용될 수 있다.

• Nuclear Engineering and Technology
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• 제49권7호
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• pp.1537-1546
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• 2017

Many thermal-hydraulic tests have been conducted at the Korea Atomic Energy Research Institute for verification of the SMART (System-integrated Modular Advanced ReacTor) design, the standard design approval of which was issued by the Korean regulatory body. In this paper, the contributions of these tests to the standard design approval of SMART are discussed. First, an integral effect test facility named VISTA-ITL (Experimental Verification by Integral Simulation of Transients and Accidents-Integral Test Loop) has been utilized to assess the TASS/SMR-S (Transient and Set-point Simulation/Small and Medium) safety analysis code and confirm its conservatism, to support standard design approval, and to construct a database for the SMART design optimization. In addition, many separate effect tests have been performed. The reactor internal flow test has been conducted using the SCOP (SMART COre flow distribution and Pressure drop test) facility to evaluate the reactor internal flow and pressure distributions. An ECC (Emergency Core Coolant) performance test has been carried out using the SWAT (SMART ECC Water Asymmetric Two-phase choking test) facility to evaluate the safety injection performance and to validate the thermal-hydraulic model used in the safety analysis code. The Freon CHF (Critical Heat Flux) test has been performed using the FTHEL (Freon Thermal Hydraulic Experimental Loop) facility to construct a database from the $5{\times}5$ rod bundle Freon CHF tests and to evaluate the DNBR (Departure from Nucleate Boiling Ratio) model in the safety analysis and core design codes. These test results were used for standard design approval of SMART to verify its design bases, design tools, and analysis methodology.

• 의학교육논단
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• 제22권3호
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• pp.198-206
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• 2020

This study aimed to identify needed improvements to current evaluation methods in medical school computer-based test (CBT) programs and test environments. To that end, an analysis of the importance and satisfaction was conducted through a survey of 3rd and 4th year medical students who had sufficient experience with CBT programs. Importance performance analysis methodology using the correlation coefficient was applied to assess average satisfaction and importance. The first quadrant (keep up the good work) was a factor of review and time management and test facilities among the conveniences of the CBT program. The second quadrant (concentrate here) was a factor of the convenience of the CBT program and computer monitor and chair factor within the test facilities. The third quadrant (low priority) was a factor of cheating and computer failure. The fourth quadrant (possible overkill) was the location, spacing, and temperature factors of the test facilities. Improvements are needed to reduce 'eye fatigue' and help students focus and understand the questions in the CBT programs. It is necessary to improve computer monitors, desks and chairs, and consider the subject's body type and manager in order to cope with computer breakdown and peripheral failures. Spare computers are needed. These findings are meaningful in that they have been able to identify factors that require improvement in the CBT program and test environment resulting from changes in assessment tools.

• 비파괴검사학회지
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• 제17권4호
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• pp.248-261
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• 1997

용접 결함에 대한 초음파탐상시험으로부터 결함의 종류를 결정하는 것은 초음파형상인식기법에 의해 가장 잘 해결할 수 있기 때문에 지금까지 이 기법에 대한 연구가 많이 수행되어 왔다. 그러나 이 기법은 지금까지의 많은 연구에도 불구하고, 실제 산업 현장에서는 아직까지 널리 사용되지 못하고 있는 실정이다. 이러한 문제를 해결하기 위해 본 연구에서는, 용접 결함으로부터 초음파 신호를 채취하여 입력하면 적절한 신호처리를 통해 신호의 특징을 추출하고 신경회로망 등 다양한 인공지능기법을 적용하여 용접 결함의 종류를 자동적으로 판별하는 지능형 초음파 신호 분류 소프트웨어를 개발하였다. 그리고 개발된 분류기를 이용하여 용접부내에 존재하는 용접 결함을 균열(Crack)과 비균열(non-crack)으로 분류하는 문제에 적용함으로써, 산업 현장에서 쉽게 이용할 수 있는 실제적인 분류기로서의 가능성을 검증하였다.