• Quality Improvement in Health Care
• /
• v.12 no.2
• /
• pp.35-40
• /
• 2006

체계적 고찰은 명확히 정의된 문헌검색에 기반하고, 결정된 기준(criteria)을 이용하여 선택된 문헌의 질을 평가하며, 타당성이 입증된 방법으로 분석을 시행하는 리뷰의 한 형태이다. 체계적 고찰은 (1)답을 얻고자 하는 질문을 공식화 하고 이에 대한 프로토콜을 작성하고, (2)해당 질문에 대한 일차 연구를 찾아서 포함시키고 (3)자료의 질을 평가하고, (4)자료를 추출하여 뽑고, (5)자료를 분석하며, (6)결과를 해석하고 보고서를 작성하는 순서로 이루어진다 하지만 체계적 고찰 혹은 메타분석이 모든 문제에 대한 해결책은 아니다. 메타분석이 수행되었다고 하더라도 질이 나쁜 연구가 포함되거나 질 문제를 무시한 경우, 이질성에 대해 적절한 주의를 기울이지 못할 때, 무차별적인 자료 병합으로 결론이 정확하지 않은 경우, 출판 비뚤림, 시간 지체 비뚤림, 이중 출판 비뚤림, 언어 비뚤림, 결과 보고 비뚤림과 같은 보고 비뚤림이 문제가 되는 경우에는 메타분석 혹은 체계적 고찰이 잘못된 결론으로 도달하도록 할 수 있다. 따라서 올바른 방법론에 기초한 체계적 고찰만이 현존하는 모든 근거를 결합하여 올바른 결론으로 이끌 수 있다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10b
• /
• pp.454-456
• /
• 2003

UMLS(2003AA edition 기준)의 메타시소러스는 다국어를 지원하며 875.233개의 개 (concept)과 2,146,897개의 개념명(concept name)을 포함한다. 현재 UMLS 메타시소러스 검색을 제공하는 PubMed나 NLM에서는 UMLS에서는 개념명에 존재하지 않는 잘못된 질의나, 잘못된 구문 또는 개념명의 일부를 이용한 검색이 불가능하다. 이는 사용자가 UMLS에서 정보를 얻기 위해서는 정확한 의학용어를 숙지해야 되며. UMLS 메타시소러스의 데이터가 잘못 되었을 경우 정보를 얻을 수 없다. 본 연구에서는 이러한 문제점을 보완하기 위해서 자연어처리에서 연구되고 있는 문자열 간의 유사도 측정방식을 적용하여 잘못된 질의어에 대한 자동수정 기능을 이용한 메타시소러스 검색방법을 제안한다. 제안한 방법에서는 질의어를 자동수정하기 위하여 철자사전을 자동으로 추출하고 문자열 비교알고리즘을 도입하여 질의어와 철자사전간의 용어의 유사도를 측정한다. 유사도에 의하여 얻어진 용어를 메타시소러스의 형식에 맞게 변환하여 질의에 대한 최적의 결과를 얻을 수 있도록 한다. 제안된 방법의 성능을 평가하기 위해서 최근(2003년 8월) bi-gram 방식을 도입한 NLM에서의 시스템과 비교 평가한다.

• Journal of Energy Engineering
• /
• v.3 no.1
• /
• pp.28-35
• /
• 1994

가스터빈 사이클의 성능 및 NOx 배출물 생성량 예측을 위한 모사 프로그램을 개발하였다. 압축기 및 터빈은 등엔트로피 과정으로, 연소기는 Thermal NOx 생성을 수반하는 연소모형으로서 가정하였다. 또한 터빈 냉각을 위한 추출공기량과 냉각방식이 성능에 미치는 적절한 상관 관계식을 도입하여 평가하였다. 본 성능평가 모델을 이용하여 예측된 결과와 실험결과간의 비교를 통하여 모델의 타당성을 검증하였고, 증기 분사량, 터빈 냉각변수 및 압축비 변화에 따른 예측결과를 통하여 가스터빈 시스템 최적 운전 및 설계기준을 제시하였다.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 1993.04a
• /
• pp.109-116
• /
• 1993

구조물의 신뢰도를 평가하는 방법을 살펴보고 각각의 장,단점을 비교한다. 각 방법의 정확성을 평가하는 기준으로 Crude Monte Carlo(CMC)방법을 택하여, Importance Sampling(IS)방법, 그리고 Directional Sampling(DS)방법을 살펴 보고, 1차 근사방법은 현재 많이 사용되고 있는 Rackwitz-Fiessler(RF)방법, Chen과 Lind가 제안한 3-parameter방법(CL), Hohenbichler가 제안한 Rosenblatt 변환방법(RT)을, 그리고 2차 근사방법은 Breitung이 제안한 곡률적합 포물선 (Curvature Fitted Paraboloid,CFP)공식과 Kiureghian이 제안한 점적합 포물선(Point Fitted Paraboloid,PFP)공식, 그리고 Log-Likelihood function을 이용하여 원변수공간에서 파괴확률을 구하는 2차 근사공식(LLF)을 비교한다. 그리고 한계상태식이 불명확할 때 효율적으로 사용할 수 있는 반웅웅답법(Response surface method, RSM)을 살펴본다. 각 방법의 효율성 특히 적용 가능성을 예제를 통해 해석한 결과 추출법의 경우는 DS 방법이, 그리고 근사방법에서는 RSM 방법이 효율적임을 알 수 있었다.

• Journal of Food Hygiene and Safety
• /
• v.34 no.1
• /
• pp.13-21
• /
• 2019

A method was developed for the simultaneous detection of an antibiotic fungicide, streptomycin, and its metabolite (dihydrostreptomycin) in agricultural products using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The samples were extracted using methanol adjusted to pH 3 using formic acid, and purified with a HLB (Hydrophilic lipophilic balance) cartridge. The matrix-matched calibration curves were constructed using seven concentration levels, from 0.001 to 0.1 mg/kg, and linearity of five agricultural products (hulled rice, potato, soybean, mandarin, green pepper), with coefficients of determination $(R^2){\geq}0.9906$, for streptomycin and dihydrostreptomycin. The mean recoveries at three fortification levels (LOQ, $LOQ{\times}10$, $LOQ{\times}50$, n = 5) were from 72.0~116.5% and from 72.1~116.0%, and relative standard deviations were less than 12.3% and 12.5%, respectively. The limits of quantification (LOQ) were 0.01 mg/kg, which are satisfactory for quantification levels corresponding with the Positive List System. All optimized results satisfied the criteria ranges requested in the Codex guidelines and the Food Safety Evaluation Department guidelines. The present study could serve as a reference for the establishment of maximum residue limits and be used as basic data for detection of streptomycin and dihydrostreptomycin in food.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.8 no.4
• /
• pp.595-604
• /
• 2013

Currently, registered number of imported vehicles is increasing rapidly over the years. Accordingly, environment improvements of vehicle maintenance company for maintenance of luxury vehicle such as imported vehicle are continuously being made. In this paper, we propose a key frame extraction method based on HSV color model for smart vehicle management system implementation to offer for customer reliability of maintenance vehicle. After automatically recognize the license plates of the vehicle using vehicle license plate recognition system when the vehicle come in the car center, we check the repair history and request of the vehicle based on it. We implement mobile services which provide extracted key frame images to the user after extract key frames from vehicle repair video. In addition, we verify the superiority of key frame extraction method by applying a smart vehicle management system. Finally, we convert the RGB color to HSV color to improve the performance of proposed key frame extraction scheme. As a result, we confirmed that our scheme is more excellence about 30% in terms of recall than RGB color model from the performance evaluations.

• Journal of the Korean Society of Earth Science Education
• /
• v.16 no.2
• /
• pp.182-195
• /
• 2023

The purpose of this study was to analyze reports from research middle schools based on the criteria for process-focused assessment to find out how the characteristics of process-focused assessment were being implemented in middle school science classes. The analysis criteria for the characteristics of process-focused assessment (integration of lessons and assessments, evaluation elements and methods, content and timing of feedback, and learner growth management) were extracted. Using the analysis framework, the result reports of seven research middle schools for process-focused assessment were analyzed. In terms of integration of lessons and assessments, when the process-focused assessment was operated, the class and evaluation plan were well implemented based on the curriculum achievement standards, but the process-focused assessment was recognized as a performance evaluation. In terms of evaluation elements and methods, the evaluation element for knowledge was the main component, and competency was presented in the planning stage, but competency was not dealt with in class execution. The evaluation method was biased toward teacher-centered observation evaluation and written test, and the setting of scoring criteria for each evaluation element was insufficient. In terms of the content and timing of feedback, feedback was mainly provided based on achievement confirmation, but no case was found in which scaffolding was provided at an appropriate time for insufficient parts in the learning process. In terms of the learner's growth management, the competencies cultivated through science classes were included in the detailed subject specialties of the school record. However, little was shown in the report on how to systematically manage the process of developing learners' competencies and reflect the evaluation results to teachers' class improvement.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.2
• /
• pp.121-131
• /
• 2008

Two dimensional road design is connoting danger factor because different point between design standard and driver's reaction. Consequently two dimensional road design is difficult to recognize problem that happen beforehand when before construction. Therefore three dimensional road design that can grasp problem after completion is required. In this study, three dimensional road was designed to evaluate road that is designed. Road designed by Inroad that is road design program. DTM is created using digital map and elevation data. Three dimensional road was designed by integrated DTM of road and topography. Road design evaluation was performed in three dimension. Driving simulation and sight distance assessment were carried out to estimate stability of alignment. Shadow simulation was executed on icy road section for bad section of icy road surface. As a result of evaluation, this study could confirm shape of road after completion. And sight distance could be calculated and visually confirmed. Also, icy road sections were extracted through shadow simulation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.271-274
• /
• 2016

CT quality assurance imaging evaluation and enforcement as quantitative assessment by phantom image evaluation, assessment items include There are also contrasting the water attenuation coefficient, uniformity, noise, resolution, spatial resolution, 10mm slice thickness evaluation, contrast resolution, space for the resolution, the slice thickness evaluation, it is possible to estimate the error due to the evaluation by the subjective judgment of the tester, using a subjective error image processing program to be computed to minimize the objective evaluation. Basic recording conditions of the CT image quality control assessment is the same as special medical equipment quality control checks, the images were evaluated quantitatively using IMAGE J. For a CT attenuation coefficient, the uniformity, noise evaluation, were evaluated as CT quality control image the standard deviation of the measured value of the digital processing of image smaller and less noise uniform images than the, contrast and resolution assessment is the size of the diameter of a circle having a large the 1 inch, 0.75 inch, 0.5 inch quality if the diameter of the circle, was evaluated in the small circle in the near circle ellipse. Spatial resolution is evaluated by using a self-extracting features of an image processing program, all of the groups of members comprising the acceptance criteria to automatically extract, was evaluated to be very useful for the quantitative assessment. When CT image quality control assessment on the basis of the results such as the above, if using an image processing program to minimize the subjective judgment of the error evaluator and is determined more efficient than would be made quantitative evaluation.

• Journal of KIISE:Software and Applications
• /
• v.34 no.3
• /
• pp.196-211
• /
• 2007

In the Product Line Engineering (PLE), current studies about an analysis of the feature have uncertain and ad-hoc criteria of analysis based on developer’s intuition or domain expert’s heuristic approach and difficulty to extract explicit features from a product in a product line because the stakeholders lack comprehensive understanding of the features in feature modeling. Therefore, this paper proposes a model of the analyzing commonality and variability of the feature based on the Ontology. The proposed model in this paper suggests two approaches in order to solve the problems mentioned above: First, the model explicitly expresses the feature by making an individual feature attribute list based on the meta feature modeling to understand common feature. Second, the model projects an analysis model of commonality and variability using the semantic similarity between features based on the Ontology to the stakeholders. The main contribution of this paper is to improve the reusability of distinguished features on developing products of same line henceforth.