• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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• pp.15-18
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• 2005

A ribonucleic acid (RNA) is one of the two types of nucleic acids found in living organisms. An RNA molecule represents a long chain of monomers called nucleotides. The sequence of nucleotides of an RNA molecule constitutes its primary structure, and the pattern of pairing between nucleotides determines the secondary structure of an RNA. Non-coding RNA genes produce transcripts that exert their function without ever producing proteins. Predicting the secondary structure of non-coding RNAs is very important for understanding their functions. We focus on Nussinov's algorithm as useful techniques for predicting RNA secondary structures. We introduce a new traceback matrix and scoring table to improve above algorithm. And the improved prediction algorithm provides better levels of performance than the originals.

• 한국측량학회지
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• 제9권2호
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• pp.127-138
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• 1991

본 연구는 지형정보시스템을 활용한 최적 노선선정에 관한 연구이다. 일반적으로 노선의 선정은 후보노선대, 최적노선대, 최적노선의 선정 순으로 이루어지는데 본 연구에서는 노선선정계획의 마지막 부분인 최적노선선정부분을 고려하였다. 최적노선의 선정은 연구대상지역을 일정한 크기의 정규형격자로 구분하고, 각 정규형격자에 토지이용현황, 지가, 경상도 등을 고려하여 얻어진 가중치를 적용하였다. 이를 지형 정보시스템의 속성 데이타로 활용하여 노선선정에 적용되는 가중치의 특정부분으로 고려하고, 세개의 노선을 선정하였다. 이들 세개의 노선을 비교ㆍ분석하여 실제노선의 선정과정에서 지형정보시스템의 활용 가능성을 제시하고자 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3946-3965
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• 2018

Network anomaly detection in Software Defined Networking, especially the detection of DDoS attack, has been given great attention in recent years. It is convenient to build the Traffic Matrix from a global view in SDN. However, the monitoring and management of high-volume feature-rich traffic in large networks brings significant challenges. In this paper, we propose a moving window Principal Components Analysis based anomaly detection and mitigation approach to map data onto a low-dimensional subspace and keep monitoring the network state in real-time. Once the anomaly is detected, the controller will install the defense flow table rules onto the corresponding data plane switches to mitigate the attack. Furthermore, we evaluate our approach with experiments. The Receiver Operating Characteristic curves show that our approach performs well in both detection probability and false alarm probability compared with the entropy-based approach. In addition, the mitigation effect is impressive that our approach can prevent most of the attacking traffic. At last, we evaluate the overhead of the system, including the detection delay and utilization of CPU, which is not excessive. Our anomaly detection approach is lightweight and effective.

• 유통과학연구
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• 제17권3호
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• pp.41-47
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• 2019

Purpose - Based on the analysis of Kazakhstan's experience of digital transformation, this study suggests a concept for digital solution to optimize organizational process, create trust networking between the center of state scholarships programs and recipients. In addition, the authors contribute to the current discussions of an effective digital transformation of state services. Research design, data, and methodology - Policy analysis is based on the combination of both primary and secondary materials collected during a Policy Research Project conducted in Kazakhstan in 2017. It involved semi-structured interviews with the state scholarship' recipients, ICT experts and findings from academic articles. Results - Findings are represented via Policy Development Matrix - a table with three options (status quo, partial change, total change) to deal with policy challenges. Authors suggest a concept for digital solution following the Customer Relationship Management (CRM) principles for optimizing core business processes, communication and networking strategies of the state scholarships program. Conclusions - At the time when digitalization becomes trending for states, the transformation of the state education policy is inevitable. The rapid development of digital technologies creates new opportunities for a single integration platform with key principles of Smart Remote Management in the state scholarships programs.

• The Korean Journal of Ecology
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• 제9권3호
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• pp.135-147
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• 1986

The simplification and the searching trends of complex data which assumed relationship between predictor variables and object variables are one of primary objective of ecological research. This study was aimed to apply cononical analysis consisting of canonical correlation analysis and canonical variate analysis related to lichen vegetation and several environmental variables which are elevation, height on grond, exposure side and cover values. Data collected from the Duckyoo National Park in August 1985. Lichen species was ranked by eqivocation information theory with cover values. Canonical correlation analysis was applied to one data set both set both environmental variables and lichem family. In order to make two sets of data matrix the scale of position vector ordination was calculated from the vector scalar product for lichen species. Canonical variate analysis was applied to rearranged data which was made by interval class code for environmental variables. The sharpness values was calculated in frequency of cotingency tables and the dispersion profiles of each species in classes of environmental variables was designed to extract component values based on the decomposition of expected frequencies in contingency table. The results of canonical correlation analysis revealed canonical first correlation value 0.815(89%), and second correlation value 0.083(11%). Significance test showed that the hypothesis of joint mutuallity of canonical correlation is accepted (P>0.05). The relation between canonical score of vegetation variables and that of environmental variable indicated linear tendency.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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• pp.27-28
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• 2019

Recently, a bed company detected a radon more than Red Politics and became a hot topic of conversation. This has led to increased interest in radon, and a number of free-of-charge bodies have also been established to recognize the dangers of radon. In addition, the Korean Institute of Geological and Resource Research is planning to assist the installation of radon alarm systems in 10,000 households nationwide, free of charge. Since radon is a colorless, odorless and tasteless gas that causes lung cancer, it aims to reduce lung cancer incidence by absorbing radon using bamboo activated carbon as a way to reduce it. Due to the use of bamboo activated carbon, radon concentration per hour tends to decrease as substitution rate increases, and table flow tends to decrease as substitution rate increases. Through this experiment, 30% of the replacement rate of bamboo activated carbon is judged to be the most suitable replacement rate.

• Smart Structures and Systems
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• 제15권3호
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• pp.699-715
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• 2015

A modal parameter based damage sensitive feature (DSF) is defined to mimic the relative change in any diagonal element of the stiffness matrix of a model of a structure. The damage assessment is performed in a statistical pattern recognition framework using empirical complementary cumulative distribution functions (ECCDFs) of the DSFs extracted from measured operational vibration response data. Methods are discussed to perform probabilistic structural health assessment with respect to the following questions: (a) "Is there a change in the current state of the structure compared to the baseline state?", (b) "Does the change indicate a localized stiffness reduction or increase?", with the latter representing a situation of retrofitting operations, and (c) "What is the severity of the change in a probabilistic sense?". To identify a range of normal structural variations due to environmental and operational conditions, lower and upper bound ECCDFs are used to define the baseline structural state. Such an approach attempts to decouple "non-damage" related variations from damage induced changes, and account for the unknown environmental/operational conditions of the current state. The damage assessment procedure is discussed using numerical simulations of ambient vibration testing of a bridge deck system, as well as shake table experimental data from a 4-story steel frame.

• 한국생산제조학회지
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• 제19권4호
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• pp.521-528
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• 2010

A product system will be improved continually until requirements are satisfied. It is true that considering alternative designs to improve product system is hard work; it is also true that selecting an adequate design idea that represents the needs of stakeholders concerned and meets effectiveness factors properly is not an easy work, either. In the process of driv-ing an idea and designing, which is called Design Phase, there are lots of existing tools for testing the driven idea in DFSS. But, those kinds of tools do not offer the function that helps to select the technically better design idea among alternative design ideas that have the same evaluation level. Moreover it is inappropriate to select adequate alternative design ideas by just verifying only the evaluation table in pugh matrix, since satisfied deviation val-ues are low when there is a too competitive mass product system in a market. Also, for the IT product with short life cycle, faster and more effective testing tool is needed. Therefore, the 'roduct quality index' is suggested in order to select an appropriate candidate design concept for system development that meets requirements by using 'deality concept' pro-vided by TRIZ. According to the result of this research, it is possible to select technically better idea fast and effectively; it is confirmed by applying the approach to the case of LCD BLU (Back Light Unit).

• Structural Engineering and Mechanics
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• 제12권5호
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• pp.527-540
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• 2001

A new sort of learning algorithm named whole learning algorithm is proposed to simulate the nonlinear and dynamic behavior of RC members for the estimation of structural integrity. A mathematical technique to solve the multi-objective optimization problem is applied for the learning of the feedforward neural network, which is formulated so as to minimize the Euclidean norm of the error vector defined as the difference between the outputs and the target values for all the learning data sets. The change of the outputs is approximated in the first-order with respect to the amount of weight modification of the network. The governing equation for weight modification to make the error vector null is constituted with the consideration of the approximated outputs for all the learning data sets. The solution is neatly determined by means of the Moore-Penrose generalized inverse after summarization of the governing equation into the linear simultaneous equations with a rectangular matrix of coefficients. The learning efficiency of the proposed algorithm from the viewpoint of computational cost is verified in three types of problems to learn the truth table for exclusive or, the stress-strain relationship described by the Ramberg-Osgood model and the nonlinear and dynamic behavior of RC members observed under an earthquake.

• 한국전자파학회논문지
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• 제15권1호
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• pp.60-67
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• 2004

본 논문에서는 디세그멘테이션 기법을 이용하여 사각 링 패치 안테나를 해석하였으며, 그린함수로부터의 직사각형 세그먼트의 임피던스 계산과 평면 전자기 구조체에 대한 디세그멘테이션 방법이 논의되고 있다. 사각 링 캐버티는 큰 사각형 캐버티에서 작은 사각형 캐버티를 빼낸 구조이므로, 사각형 캐버티에 대한 그린함수의 항으로 표현된 각각의 임피던스 행렬들에 다 단자 결합법을 적용하여 사각 링 캐버티의 전체 임피던스 매트릭스를 구한다. 전자계는 8개 경계조건을 만족하는 벡터 포텐셜로부터 구할 수 있다. 각 에지에서의 전자계 분포는 여기된 모드에 따라 막대 그래프로 표현하였다. 이 결과를 이용하여 사각 링 패치 안테나의 동작모드를 분석할 수 있다.