• 정보처리학회논문지D
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• 제9D권5호
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• pp.887-896
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• 2002

SPICE(Software Process Improvement and Capability dEtermination) 평가 모형에 기반한 중소기업형 프로세스 개선 모형으로 SPIRE (Software Process Improvement in Regions of Europe)가 개발되어 제공되고 있다. 그러나 SPIRE에서는 조직의 경영 목적에 맞는 프로세스 선택을 위한 구체적인 지침이나 매핑을 제시하고 있지 못하다. 이 연구에서는 프로세스 선택시 활용할 수 있는 객관적인 경영 목표-프로세스간 매핑 참조 테이블을 작성하고, 이를 활용한 프로세스 선정 방안을 제시한다. 매핑 참조 테이블은 델파이 기법을 활용하여 국내 소프트웨어 프로세스 전문가들의 의견 수렴을 통해 작성되었다. 본 연구에서 제시된 프로세스 선정 기법은 매핑 참조 테이블과 해당 업체 관련자의 주관적인 매핑 정보를 종합적으로 활용하여 최종적으로 개선 대상 프로세스를 선정되도록 한다. 이 연구에서 제시된 선정 방법을 2개의 중소 소프트웨어 조직에 실제 적용하여 활용 가능성을 검토하였다. 매핑 참조 테이블을 사용하여 업체 관련자가 간과하고 있던 주요 프로세스를 평가 대상 프로세스로 선정할 수 있었다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 추계 학술논문 발표대회
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• pp.135-136
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• 2012

The purpose of this study is to analysis of counter strategy of greenhouse gas·energy target management system for the construction firm. For this purpose, the greenhouse gas·energy target management system of other industries was investigated. The selection possibility that is construction firm to be managed company was analyzed. In addition, status of counter strategy on the greenhouse gas·energy target management system were investigated and analyzed about 5 domestic major construction firm via questionnaire and interview. As a result, the counter strategy by organization and annual for the greenhouse gas·energy target management system was drawn.

• BMB Reports
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• 제48권12호
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• pp.643-644
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• 2015

In eukaryotes, small RNAs play important roles in both gene regulation and resistance to viral infection. Argonaute proteins have been identified as a key component of the effector complexes of various RNA-silencing pathways, but the mechanistic roles of Argonaute proteins in these pathways are not clearly understood. To address this question, we performed single-molecule fluorescence experiments using an RNA-induced silencing complex (core-RISC) composed of a small RNA and human Argonaute 2. We found that target binding of core-RISC starts at the seed region of the guide RNA. After target binding, four distinct reactions followed: target cleavage, transient binding, stable binding, and Argonaute unloading. Target cleavage required extensive sequence complementarity and accelerated core-RISC dissociation for recycling. In contrast, the stable binding of core-RISC to target RNAs required seed-match only, suggesting a potential explanation for the seed-match rule of microRNA (miRNA) target selection.

• 한국지진공학회논문집
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• 제15권5호
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• pp.1-10
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• 2011

본 연구에서는 지반운동 라이브러리에서 목표스펙트럼에 근사한 평균응답스펙트럼을 갖는 한 개 혹은 다수의 지반운동을 선정하는 효율적인 방법을 제안하고자 한다. 지반운동 선정 시 목표스펙트럼의 형상과 크기를 맞추어야 하는데 이 두 가지를 독립적으로 고려할 수 있다는 기존 연구결과에 따라 본 연구에서도 형상이 가장 유사한 지반운동을 찾고 크기를 맞추기 위하여 배율조정계수를 사용한다. 형상을 맞추기 위해 각 주기에서 목표스펙트럼과 지반운동 평균응답스펙트럼의 차이 값의 표준편차가 최소가 되도록 하여 선정하는 방법을 제안하였다. 형상이 결정된 후 그 크기를 맞추기 위해 본 연구에서 제안한 배율조정계수를 찾는 방법은 기존 연구와 달리 한번에 찾을 수 있도록 제안하였다. 40개의 지반운동 라이브러리로부터 제안한 방법을 이용하여 목표스펙트럼에 근사한 평균스펙트럼을 갖는 7개의 지반운동기록을 선정한 결과, 그 정확성과 계산소요시간에 있어 모두 만족할만한 결과를 보였다.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.809-824
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• 2002

we propose two methods which separate the variable selection step and the split-point selection step. We call these two algorithms as CHITES method and F&CHITES method. They adapted some of the best characteristics of CART, CHAID, and QUEST. In the first step the variable, which is most significant to predict the target class values, is selected. In the second step, the exhaustive search method is applied to find the splitting point based on the selected variable in the first step. We compared the proposed methods, CART, and QUEST in terms of variable selection bias and power, error rates, and training times. The proposed methods are not only unbiased in the null case, but also powerful for selecting correct variables in non-null cases.

• ETRI Journal
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• 제40권5호
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• pp.604-612
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• 2018

To solve the problem of unbalanced loads and the short network lifetime of heterogeneous wireless sensor networks, this paper proposes a node-selection algorithm based on energy balance and dynamic adjustment. The spacing and energy of the nodes are calculated according to the proximity to the network nodes and the characteristics of the link structure. The direction factor and the energy-adjustment factor are introduced to optimize the node-selection probability in order to realize the dynamic selection of network nodes. On this basis, the target path is selected by the relevance of the nodes, and nodes with insufficient energy values are excluded in real time by the establishment of the node-selection mechanism, which guarantees the normal operation of the network and a balanced energy consumption. Simulation results show that this algorithm can effectively extend the network lifetime, and it has better stability, higher accuracy, and an enhanced data-receiving rate in sufficient time.

• Transactions on Electrical and Electronic Materials
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• 제14권4호
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• pp.187-192
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• 2013

Because of the importance of small target detection in infrared images, many studies have been carried out in this area. Using a Kalman filter and mean shift algorithm, this study proposes an algorithm to track multiple small moving targets even in cases of target disappearance and appearance in serial infrared images in an environment with many noises. Difference images, which highlight the background images estimated with a background estimation filter from the original images, have a relatively very bright value, which becomes a candidate target area. Multiple target tracking consists of a Kalman filter section (target position prediction) and candidate target classification section (target selection). The system removes error detection from the detection results of candidate targets in still images and associates targets in serial images. The final target detection locations were revised with the mean shift algorithm to have comparatively low tracking location errors and allow for continuous tracking with standard model updating. In the experiment with actual marine infrared serial images, the proposed system was compared with the Kalman filter method and mean shift algorithm. As a result, the proposed system recorded the lowest tracking location errors and ensured stable tracking with no tracking location diffusion.

• 대한산업공학회지
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• 제15권2호
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• pp.57-64
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• 1989

An Economic selection of specification limits is considered for a given target value in a complete inspection plan. Each item is inspected, and if it meets the specification, it is accepted. Items less than the lower specification limit are scrapped or sold at a reduced price, and those greater than the upper specification limit are reworked. Cost factors to be considered are economic loss caused by quality deviations, rework cost and scrapping cost. Methods for finding the optimal specification limits are given for the cases of piecewise linear loss function and quadratic loss function with illustrative examples.

• International Journal of Automotive Technology
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• 제8권3호
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• pp.319-325
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• 2007

Preload of critical engine bolts affects the performance and durability of engines. In modern engines that pursue higher power outputs and which are of lighter weight, it becomes more difficult to select an optimal target preload in consideration of various factors such as the role and structural characteristics of joint members, joint load, and fatigue durability of bolts and joint members. A procedure to select the bolt preload using computer-aided engineering technology, especially the finite element method, has been developed. The procedure is illustrated with connecting-rod bolts for which an appropriate preload is known. The selection criteria of target preload and the finite element modeling technique for connecting-rod bolts are also explained.

• Bulletin of the Korean Chemical Society
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• 제20권5호
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• pp.525-527
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• 1999

Many types of chemical data tend to be characterized by many measured variables on each of a few observations. In this situation, target concentration can be predicted using multivariate statistical modeling. However, it is necessary to use a few variables considering size and cost of instrumentation, for an example, for development of a portable biomedical instrument. This study presents, with a spectral data set of total hemoglobin in whole blood, the possibility that modeling using only a few variables can improve predictability compared to modeling using all of the variables. Predictability from the model using three wavelengths selected from all possible regression method was improved, compared to the model using whole spectra (whole spectra: SEP = 0.4 g/dL, 3-wavelengths: SEP=0.3 g/dL). It appears that the proper selection of variables can be more effective than using whole spectra for determining the hemoglobin concentration in whole blood.