• 정보보호학회논문지
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• 제25권5호
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• pp.1217-1224
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• 2015

웹 취약점 분석은 기업이 웹 애플리케이션의 보안 문제점을 파악하고 개선하는데 도움을 주며 미래창조과학부는 취약점 분석 평가 기준을 배포하여 이를 지원하고 있다. 그러나 기준에서 제시하는 방법으로는 취약 항목에 대한 구분은 가능하지만 취약점 항목의 위험을 분석하기에는 부족하여 효과적인 대응이 어렵다는 문제점이 있다. 본 연구에서는 국내외 취약점 스코어링 기법에 대해 분석하고 올바른 웹 취약점 분석 평가를 위한 스코어링 방법을 제시하고자 한다.

• IEIE Transactions on Smart Processing and Computing
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• 제6권1호
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• pp.21-26
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• 2017

In this paper, we suggest an automated sleep scoring method using machine learning algorithms on accelerometer data from a wristband device. For an experiment, 36 subjects slept for about eight hours while polysomnography (PSG) data and accelerometer data were simultaneously recorded. After the experiments, the recorded signals from the subjects were preprocessed, and significant features for sleep stages were extracted. The extracted features were classified into each sleep stage using five machine learning algorithms. For validation of our approach, the obtained results were compared with PSG scoring results evaluated by sleep clinicians. Both accuracy and specificity yielded over 90 percent, and sensitivity was between 50 and 80 percent. In order to investigate the relevance between features and PSG scoring results, information gains were calculated. As a result, the features that had the lowest and highest information gain were skewness and band energy, respectively. In conclusion, the sleep stages were classified using the top 10 significant features with high information gain.

• Child Health Nursing Research
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• 제13권4호
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• pp.436-443
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• 2007

Purpose: An exploratory study was done to examine the validity of the new Ballard scale with extended scoring system(eNBS) in estimating gestational age(AG) in full-term newborns. Method: The eNBS scoring system was extended to include all numbers of total score of NBS and GA to allow a 3-days variation in GA estimatio compared to the original scale which has a 2-week variation due to the application of a 5-score interval for the total NBS score and only even numbers for GA. GA by eNBS(GA-eNBS) was compared with GA by LMP(GA-LMP) and GA by standard NBS(GA-sNBS) in 133 full-term newborns. Difference between GA-LMP and GA-eNBS was analyzed for each GA. Results: Positive correlations were observed in GA-sNBS and GA-eNBS with GA-LMP. There was no difference between GA-LMP and GA-eNBS at 39GA and 40GA. At 37GA and 38GA, GA-eNBS overestimated GA-LMP up to 1 week, while underestimating up to 1 week at 41GA. Conclusions: The accuracy of eNBS was validated within 3 days of variation in GA estimation at 39-40GA. Overestimation by eNBS suggests the possible acceleration of fetal maturity in premature newborns, while underestimation, of the deceleration of fetal maturity in postterm newborns.

• 한국정밀공학회지
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• 제12권7호
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• pp.66-73
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• 1995

Rating systems of bevel gears(straight, spiral, and zerol bevel gears) which are commonly used as power transmission devices for non-papallel axes are developed on the personal computer, which analyze and/or evaluate the gear design and the service performance at the point of view of strength and durability. The typical considerations of the ratings are the bending strength, the surface durability, and the scoring resistance. The ratings are carried out using the reliable standards of AGMA & Gleason Works. Therefore, the system is built so that the variables or factors considered differently in those standards and the strength, dura- bility, and scoring partially in Gleason are appraised seperately by each method, and a series of the estimation processes is integrated into the system so as to compare each result. The developed rating systems can be used in the initial stage of gear design process, and also a better design can be performed by the evaluation of the initial design at the view point of gear strength and durability. Additionally, it is useful for the trouble-shooting of bevel gear system and to the purpose of introducing the methods for maintaining design strength in service, with appraising the gear strength after design or with appraising the influencing factor as a whole. Therefore, this rating systems can help the aim of design automation of bevel gears.

• 정보보호학회논문지
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• 제29권5호
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• pp.1179-1189
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• 2019

사이버보안성 평가란 자산분석, 위협분석, 취약성 분석을 통하여 자산 및 시스템의 위험 수준을 평가하여 적절한 보안조치를 적용하는 일련의 과정으로 증가하는 사이버 공격에 대한 대비를 위해 체계적인 사이버보안성 평가가 요구된다. 이에 CWSS, CVSS 등 사이버 보안 수준 측정을 위한 다양한 지표가 개발되고 있으나 표준화된 보안성 평가 결과를 통해 위험 우선순위에 따라 적절한 보안조치를 적용하기 위한 정량적 방법은 미흡한 실정으로 대상자산이 가지는 특성, 적용되어 있는 환경, 자산에 미치는 영향 등을 고려한 평가 체계가 필요하다. 이에 본 논문에서는 기존의 사이버 보안 평가 방법 분석을 기반으로 정량적 위험 평가 모델을 정립하고 정립한 모델에 적용하기 위한 평가 요소들의 정량화를 위한 방법을 제시한다. 사이버 보안성 평가 시 필요한 정성적 속성 요소들의 수준을 AHP 기법을 통한 보안요건별 가중치, 위협 별 영향도, 취약점 요소 별 점수화를 통한 위협 성공 가능성에 대한 확률값 산출을 통해 통계적 데이터를 적용해야 하는 정량적 방법의 한계점을 보완하여 표준화된 사이버 보안 평가 체계를 확립할 것으로 기대된다.

• 대한기계학회논문집
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• 제14권3호
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• pp.594-602
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• 1990

본 연구에서는 동력전달용 인벌류우트 원통치차(스퍼어 및 헬리컬 기어)의 강 도 및 각종 영향인자를 충분히 고려하면서 크기를 최소로 하는 치차장치의 설계법을 개발하고, 이 설계법을 기본으로 하여 퍼스널 컴퓨터 상에서 누구나 손쉽게 설계에 이 용할 수 있는 설계 시스템을 개발하여 그 평가를 수행한다.

• 한국지하수토양환경학회지:지하수토양환경
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• 제13권6호
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• pp.62-71
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• 2008

환경에는 매우 다양한 유해화학물질이 존재하며 지속적으로 새로운 화학물질이 개발되고 다시 환경 중으로 유출되고 있다. 화학물질의 관리나 규제를 위해서는 우선관리대상 오염물질(Priority Contaminants)을 결정해야 하는데, 이를 위한 과학적이고 정량적인 방법론으로는 우선순위선정(Chemical Ranking and Scoring; CRS)기법이 대표적이다. CRS기법에는 개발목적에 따라 다양한 평가인자들이 적용되는데 본 연구에서는 토양매체에서의 우선순위물질 선정시 필요한 인자를 제시하기 위해 다양한 CRS기법을 비교분석하여 토양특성을 고려할 수 있는 평가인자를 제시하였다. 연구대상 CRS는 국외에서 개발된 CHEMS-1, EURAM, SCRAM, ARET와 국내에서 개발된 CRS-Korea 및 그 외 기타 관련연구들이다. 기존에 개발된 CRS에 적용된 평가인자들을 비교분석한 결과 노출과 독성을 고려하여 우선순위물질을 선정하는데, 주로 화학물질의 잔류성, 생물축적성, 배출량 등을 공통적인 노출인자로 적용하고 있었고 독성인자로는 인체와 환경독성을 고려하고 있다. 본 연구에서는 토양매체의 우선순위물질선정을 위하여 이러한 CRS기법들이 공통적으로 적용하고 있는 인자들 이외에 토양매체의 특성을 고려할 수 있는 토양배출량, 토양오염 사고사건사례, 선진국의 규제국가수 등을 평가인자로 제안하였으며, 지하수매체와의 연계성을 위하여 지하수이동성 인자를 새로이 추가하였다. 본 연구결과는 CRS기법을 비교분석하여 토양에서의 유해화학물질 우선순위 선정시 고려되어야할 평가인자를 제안한 연구로 토양에 대한 CRS기법개발을 위한 기반연구로 활용될 수 있을 것이다.

• 한국수학교육학회지시리즈A:수학교육
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• 제49권1호
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• pp.111-118
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• 2010

This paper attempts to establish a scoring system for the originality in evaluation of mathematical creativity. The scoring system is composed of three categories; fluency, flexibility and originality. In this paper, we proposed an evaluation method for originality as following based on relative frequency and standard normal distribution. (1) Fluency: It is judged on the basis of the number of correct answers a student made. If several correct answers are given for a single category, then its maximum score is set to 5 points. (2) Flexibility: We examined how many categories the students' responses can be classified into. If at most 15 answers are allowed for each question, the maximum score of flexibility is 15 points. (3) Originality: Originality score is given if a student made some original response that other students did not show. That is, it reflects relative rarity. The originality is measured according to the following steps: Step 1: Analyze the frequency of how many students made an answer to the response type categorized at low level, and calculate the relative frequency p of each category. Step 2: Find the originality point os for each response, that is, os = max{0,z} where z satisfies P(Z > z) = p with standard normal distributed random variable Z. For example, - p is greater than 0.5: 0 point - p is 0.1587: 1 point - p is 0.0228: 2 points - p is 0.0013: 3 points Step 3: Assign the one's originality score to the sum of originality point for each response. Remark. There is no upper limit of originality score.

• EDISON SW 활용 경진대회 논문집
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• 제3회(2014년)
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• pp.63-74
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• 2014

Predicting protein loop structures is an important modeling problem since protein loops are often involved in diverse biological functions by participating in enzyme active sites, ligand binding sites, etc. However, loop structure prediction is difficult even when structures of homologous proteins are known due to large sequence and structure variability among loops of homologous proteins. Therefore, an ab initio approach is necessary to solve loop modeling problems. One of the difficulties in the development of ab initio loop modeling method is to derive an accurate scoring function that closely approximates the true free energy function. In particular, entropy as well as energy contribution have to be considered adequately for loops because loops tend to be flexible compared to other parts of protein. In this study, the contribution of conformational entropy is considered in scoring loop conformations by employing "colony energy" which was previously proposed to estimate the free energy for an ensemble of conformations. Loop conformations were generated by using two EDISON_Chem programs GalaxyFill and GalaxySC, and colony energy was designed for this sampling by tuning relevant parameters. On a test set of 40 loops, the accuracy of predicted loop structure improved on average by scoring with the colony energy compared to scoring by energy alone. In addition, high correlation between colony energy and deviation from the native structure suggested that more extensive sampling can further improve the prediction accuracy. In another test on 6 ligand-binding loops that show conformational changes by ligand binding, both ligand-free and ligand-bound states could be identified by using colony energy when no information on the ligand-bound conformation is used.

• Bulletin of the Korean Chemical Society
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• 제29권5호
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• pp.921-927
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• 2008

Discovery of $\alpha$-glucosidase inhibitors has been actively pursued with the aim to develop therapeutics for the treatment of diabetes and the other carbohydrate mediated diseases. As a method for the discovery of new novel inhibitors of $\alpha$-glucosidase, we have addressed the performance of the computer-aided drug design protocol involving the homology modeling of $\alpha$-glucosidase and the structure-based virtual screening with the two docking tools: FlexX and the automated and improved AutoDock implementing the effects of ligand solvation in the scoring function. The homology modeling of $\alpha$-glucosidase from baker’s yeast provides a high-quality 3-D structure enabling the structure-based inhibitor design. Of the two docking programs under consideration, AutoDock is found to be more accurate than FlexX in terms of scoring putative ligands to the extent of 5-fold enhancement of hit rate in database screening when 1% of database coverage is used as a cutoff. A detailed binding mode analysis of the known inhibitors shows that they can be stabilized in the active site of $\alpha$- glucosidase through the simultaneous establishment of the multiple hydrogen bond and hydrophobic interactions. The present study demonstrates the usefulness of the automated AutoDock program with the improved scoring function as a docking tool for virtual screening of new $\alpha$-glucosidase inhibitors as well as for binding mode analysis to elucidate the activities of known inhibitors.