• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.547-549
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• 2001

웹 기반 시스템의 테스팅에 대한 정확성과 신뢰성을 향상시키는 것은 시스템의 질을 향상시킬 수 있고 시스템 개발 및 유지보수에 대한 비용을 현저히 줄일 수 있다. 본 논문에서는 웹 로그 분석을 통하여 테스팅 환경 설정에 필요한 정보와 사용자들에 대한 패턴 정보를 추출하였다. 그리고 웹 컨텐츠 분석을 통하여 링크 정보와 데이터베이스에 대한 접근 또는 사용자 입력을 요구하는 모듈에 대한 정보를 추출하였다. 추출한 정보를 이용하여 테스팅을 위한 시나리오 문서인 테스트 스크립트를 생성함으로써 실세계에 근접한 테스트 시뮬레이션을 구현하는 방법을 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1405-1408
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• 2008

개인정보 노출 위험을 최소화하면서 데이터 유용성을 최대화하기 위한 기법 중의 하나인 k-익명성 개념과 연관된 다양한 측도(measure)들을 비교 분석한다. 원본 데이터와 변형된 데이터가 주어졌을 때, 각각 다른 k-익명성 알고리즘들에서 제안된 높이(height), 정확도(precision), 손실측도(loss metric), 비용(cost), 점수(score) 등의 측도들이 데이터의 정확성(accuracy)을 측정하는 데에 대한 일관성과 개별성을 조사하고, 그 측도들의 특징에 따른 의미와 효율성을 비교분석한다.

• The Journal of Korean Society for Radiation Therapy
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• v.31 no.1
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• pp.17-24
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• 2019

Purpose: The present study aims to assess the level of coherency and the accuracy of Point dose of the Isocenter of VERO, a linear accelerator developed for the purpose of the Stereotactic Body Radiation Therapy(SBRT). Materials and Method: The study was conducted randomly with 10 treatment plans among SBRT patients in Kyungpook National University Chilgok Hospital, using VERO, a linear accelerator between June and December, 2018. In order to assess the equipment's power stability level, we measured the output constancy by using PTW-LinaCheck, an output detector. We also attempted to measure the level of accuracy of the equipment's Laser, kV(Kilo Voltage) imaging System, and MV(Mega Voltage) Beam by using Tofu Phantom(BrainLab, Germany) to assess the accuracy level of geometrical Isocenter. We conducted a comparative analysis to assess the accuracy level of the dose by using an acrylic Phantom($30{\times}30{\times}20cm$), a calibrated ion chamber CC-01(IBA Dosimetry), and an Electrometer(IBA, Dosimetry). Results: The output uniformity of VERO was calculated to be 0.66 %. As for geometrical Isocenter accuracy, we analyzed the error values of ball Isocenter of inner Phantom, and the results showed a maximum of 0.4 mm, a minimum of 0.0 mm, and an average of 0.28 mm on X-axis, and a maximum of -0.4 mm, a minimum of 0.0 mm, and an average of -0.24 mm on Y-axis. A comparison and evaluation of the treatment plan dose with the actual measured dose resulted in a maximum of 0.97 % and a minimum of 0.08 %. Conclusion: The equipment's average output dose was calculated to be 0.66 %, meeting the ${\pm}3%$ tolerance, which was considered as a much uniform fashion. As for the accuracy assessment of the geometric Isocenter, the results met the recommended criteria of ${\pm}1mm$ tolerance, affirming a high level of reproducibility of the patient's posture. The difference between the treatment plan dose and the actual measurement dose was calculated to be 0.52 % on average, significantly less than the 3 % tolerance, confirming that it obtained predicted does. The current study suggested that VERO equipment is suitable for SBRT, and would result in notable therapeutic effect.

• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.13-21
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• 2018

The system of systems (SoS) based analysis method for the C3 system consisting of the communication system and the command and control (C2) system has the advantage that detailed analysis is possible, but it requires long execution time per one trial, which makes the analysis of various scenarios difficult. To solve this problem, this paper proposes a method for analysis of C3 SoS using a transformation of a federation into an integrated simulation. This transformation technique reduces the execution time while maintaining accuracy by abstracting the system other than the one to be analyzed, consisting of model hypothesis and function identification. The former can construct an abstracted model for the simulation through the proposed extended Discrete Event Systems Specification (DEVS) formalism and the latter can express the characteristics of the model influenced by other systems. From the case study on C and C2 analysis, the experimental results show that this method shortened the time considerably while maintaining the accuracy within an acceptable error range and we expect that this method will enable the exploratory analysis of the complex systems other than C3.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.501-514
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• 2023

When analyzing high dimensional data such as text data, if we input all the variables as explanatory variables, statistical learning procedures may suffer from over-fitting problems. Furthermore, computational efficiency can deteriorate with a large number of variables. Dimensionality reduction techniques such as feature selection or feature extraction are useful for dealing with these problems. The sparse principal component analysis (SPCA) is one of the regularized least squares methods which employs an elastic net-type objective function. The SPCA can be used to remove insignificant principal components and identify important variables from noisy observations. In this study, we propose a dimension reduction procedure for text data based on the SPCA. Applying the proposed procedure to real data, we find that the reduced feature set maintains sufficient information in text data while the size of the feature set is reduced by removing redundant variables. As a result, the proposed procedure can improve classification accuracy and computational efficiency, especially for some classifiers such as the k-nearest neighbors algorithm.

• Journal of Food Hygiene and Safety
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• v.38 no.6
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• pp.420-429
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• 2023

GC-MS/MS using liquid-liquid extraction (LLE) and C18 cartridges was used to identify and quantify levels of chlorpyrifos, chlorpyrifos-methyl, cypermethrin, deltamethrin and permethrin in bulk raw milk. A calibration curve spanning 10 ng/mL to 200 ng/mL was obtained with a satisfactory correlation coefficient of 0.99. The limits of detection (LOD) and limits of quantitation (LOQ) for chlorpyrifos, chlorpyrifos-methyl, cypermethrin, deltamethrin, and permethrin in the matrix ranged from 0.06 to 1.81 ng/mL and 0.19 to 6.04 ng/mL, respectively. The recoveries of 5 pesticides from spiked samples at 37.5-125 ng/mL ranged from 86.1 to 102.1%. The measurement of uncertainty of the GC-MS/MS method for these five pesticides was developed based on the analytical process and quantification. An analysis method that is easier and faster than the method specified in the Korean food standards codes for analyzing these five pesticides in raw material milk was developed. Moreover, the analytical method for chlorpyrifos, chlorpyrifos-methyl, cypermethrin, deltamethrin, and permethrin in bulk raw milk by GC-MS/MS was established.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.10a
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• pp.113-114
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• 1999

일차 오존 표준 분광기(SRP)를 제작하여 오존 측정의 정확성을 확보하고, 이것을 국가 표준으로 이용하여 현장 분석기를 차례로 교정하는 체계(그림 1 참조)를 구축하기 위하여, 먼저 자외선 흡광 광도법을 근간으로 하여 오존 SRP 후보 기기를 제작하였다.(중략)

• Proceedings of the Korean Statistical Society Conference
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• 2003.05a
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• pp.55-61
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• 2003

신라촌장적은 당시의 경제사회상을 조명하는 데 있어 매우 귀중한 사료로 여겨지고 있다. 이 문서를 기록한 내용의 정확성과 방법의 정연성은 오늘날의 각종 조사보다 더욱 뛰어난 것으로 생각된다. 본 연구에서는 인구에 관한 통계수치를 중심으로 현대적 의미의 통계량을 추정해 보고자 하였다.

• Communications for Statistical Applications and Methods
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• v.3 no.2
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• pp.291-298
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• 1996

통계학분야 그리고 또 다른 많은 분야에서 수치적 계산을 다루는 문제가 자주 발생한다. 적당한 컴퓨터 컴퓨터 시간안에 상당한 정도의 정확성을 줄 수 있고 또한 보다 광범위하게 사용 가능한 유용한 알고리즘의 필요성을 느낀다. 이러한 문제에 가능한 하나의 몬테칼로 알고리즘인 주표본 알고리즘을 소개하였다. 그리고 특히 본 눈문에서는 축차확률비검정의 오차확률을 계산하는 곳에 주표본 알고리즘을 적용하고 결과를 비교분석하였다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.413-414
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• 2019

빅데이터는 초기에는 개념적인 접근으로 대용량의 데이터로 정의하기도 하였으나 지금은 데이터를 수집, 저장, 처리, 분석하여 가치 창출까지의 개념으로 확산되고, 최근에는 정확성(Veracity), 가변성(Variability), 시각화(Visualization) 개념까지 새롭게 추가되어 7V로 제시되기도 한다.