• 한국태양에너지학회 논문집
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• 제29권1호
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• pp.58-63
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• 2009

In this paper, the power loss due to PV module mismatch in PV string is analyzed and a mismatch compensation method is proposed to improve the efficiency of PV system. The analysis of mismatch loss using PV model simulation reveals that the mismatch module may decrease the total efficiency because the MPPT function of power conditioner make the PV system operate at the local maximum point. The mismatch loss can be severe if the maximum power point current of mismatch module is less than that of string. The proposed compensation method which is simply implemented with a buck type converter shows the possibility to remove the mismatch loss. The effectiveness of the analysis and compensation method is verified by a prototype experiment.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 춘계학술발표대회
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• pp.494-496
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• 2015

개인의 의료 정보는 개인의 프라이버시에 관련되므로 민감하게 취급되어야 하는 정보이다. 이러한 개인정보 유출은 유출된 정보의 해당 당사자의 사회적 고립과 정보의 질에 따라 당사자의 생명도 위협하게 되므로 철저한 판리가 필요하다. 따라서 의사, 간호사, 환자, 일반인 등의 사용자 식별을 통해 병원 기록의 접근 통제 및 사용 권한에 따른 정보의 암호화 수준과 해당 정보에 특화된 역할기반 접근제어(Role-Based Access Control)를 제정해야 한다. 환자 자신이 자신의 의료정보를 특정한 사람에게 접근 권한을 주어 확인할 수도 있게 하고 그 외의 다른 부분들도 제어 할 수 있게 권한을 부여 할 수 있어야 한다. 본 논문은 현재 의료 및 진찰 정보 관리를 위해 RBAC모델을 기반으로 의료정보보호를 위한 접근제어 방법을 분석하고 각 정보의 객체들과 사용자 간의 효율적인 역할 분담과 한계를 통해 의료 정보의 보호방안을 고찰한다.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.56-62
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• 2021

The surge in generic attacks execution against cipher text on the computer network has led to the continuous advancement of the mechanisms to protect information integrity and confidentiality. The implementation of explicit decision tree machine learning algorithm is reported to accurately classifier generic attacks better than some multi-classification algorithms as the multi-classification method suffers from detection oversight. However, there is a need to improve the accuracy and reduce the false alarm rate. Therefore, this study aims to improve generic attack classification by implementing two hybridized decision tree algorithms namely Naïve Bayes Decision tree (NBTree) and Logistic Model tree (LMT). The proposed hybridized methods were developed using the 10-fold cross-validation technique to avoid overfitting. The generic attack detector produced a 99.8% accuracy, an FPR score of 0.002 and an MCC score of 0.995. The performances of the proposed methods were better than the existing decision tree method. Similarly, the proposed method outperformed multi-classification methods for detecting generic attacks. Hence, it is recommended to implement hybridized decision tree method for detecting generic attacks on a computer network.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.11-16
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• 2022

Applying predictive analytics to predict software defects has improved the overall quality and decreased maintenance costs. Many supervised and unsupervised learning algorithms have been used for defect prediction on publicly available datasets. Most of these datasets suffer from an imbalance in the output classes. We study the impact of class imbalance in the defect datasets on the efficiency of the defect prediction model and propose a CPP method for handling imbalances in the dataset. The performance of the methods is evaluated using measures like Matthew's Correlation Coefficient (MCC), Recall, and Accuracy measures. The proposed sampling technique shows significant improvement in the efficiency of the classifier in predicting defects.

• Nuclear Engineering and Technology
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• 제55권11호
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• pp.4252-4265
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• 2023

In the case of nuclear power plants near end of their design life, a reassessment of the performance of safetyrelated equipment may be necessary to determine whether to shut down or extend the operation of the power plant. Therefore, it is necessary to evaluate the level of performance decline due to degradation. Electrical cabinets, including MCC and switchgear, are representative safety-related equipment. Several studies have assessed the degradation and seismic performance of nuclear power plant equipment. Most of those researches are limited to individual components due to the size of safety-related equipment and test equipment. However, only a few studies assessed the degradation performance of electrical cabinets. The equipment of various nuclear power plants is anchored to concrete foundations, and crack in concrete foundations is one of the most representative of degradation that could be visually confirmed. However, it is difficult to find a study for analysis through testing the effect of cracks in concrete foundations on the response of electrical cabinet internal equipment fixed by anchors. In this study, using a simple cabinet model considering cast-in-place anchor in uncracked and cracked concretes, a tri-axial shaking table tests were performed and the seismic behavior were observed.

• 대한교통학회지
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• 제31권2호
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• pp.45-59
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• 2013

이 연구는 우리나라에서 현재까지 사용되어 온 (수단O/D기반)화물수요추정법의 문제점 인식을 바탕으로 P/C기반 화물수요추정법과 비교 분석을 수행하였다. 우리나라 화물수단O/D는 화물의 최초기점과 최종종점 간 운송을 수단별 통행으로 나누어 인식하면서 접근트럭통행(Access/Egress Truck Trip)에 대한 정보가 누락되어있다. 이러한 이유로 수단O/D기반 화물수요추정법은 화물의 복합수단운송을 반영하지 못하는 단점이 있다. 이에, 본 연구는 우리나라 컨테이너 화물을 중심으로 P/C표와 복합수단선택모형을 추정하여 P/C기반 화물수요추정법을 제시하고, 기존 사용되어 오던 수단O/D기반 화물수요추정법과 기종점쌍 간 전환량, 수단통행물동량, 링크물동량을 비교하였다. 비교 결과 P/C기반 화물수요추정법은 복합운송을 제대로 모사하지 못하는 기존 수단O/D기반 화물수요추정법의 문제점을 해결할 수 있는 것으로 평가되었다.

• Bulletin of the Korean Chemical Society
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• 제31권8호
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• pp.2163-2169
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• 2010

G-protein coupled receptors (GPCRs) are involved in a wide variety of physiological processes and are known to be targets for nearly 50% of drugs. The various functions of GPCRs are affected by their cognate ligands which are mainly classified as agonists and antagonists. The purpose of this study is to develop a Bayesian classification model, that can predict a compound as either human GPCR agonist or antagonist. Total 6627 compounds experimentally determined as either GPCR agonists or antagonists covering all the classes of GPCRs were gathered to comprise the dataset. This model distinguishes GPCR agonists from GPCR antagonists by using chemical fingerprint, FCFP_6. The model revealed distinctive structural characteristics between agonistic and antagonistic compounds: in general, 1) GPCR agonists were flexible and had aliphatic amines, and 2) GPCR antagonists had planar groups and aromatic amines. This model showed very good discriminative ability in general, with pretty good discriminant statistics for the training set (accuracy: 90.1%) and a good predictive ability for the test set (accuracy: 89.2%). Also, receiver operating characteristic (ROC) plot showed the area under the curve (AUC) to be 0.957, and Matthew's Correlation Coefficient (MCC) value was 0.803. The quality of our model suggests that it could aid to classify the compounds as either GPCR agonists or antagonists, especially in the early stages of the drug discovery process.

• Geomechanics and Engineering
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• 제36권1호
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• pp.51-69
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• 2024

Currently, composite lining mountain tunnels in China are generally classified based on the [BQ] method for the surrounding rock grade. Increasingly, tunnel field construction is replicated indoors for scale down model tests. However, the development of analogous materials for model tests of composite lining tunnels with different surrounding rock grades is still unclear. In this study, typical Class III and V surrounding rock analogous materials and corresponding composite lining support materials were developed. The whole processes of excavation-support dynamics of the mountain tunnels were simulated. Data on the variation of deformations, contact pressures and strains on the surrounding rock were obtained. Finally, a comparative analysis between model tests and numerical simulations was performed to verify the rationality of analogous material development. The following useful conclusions were obtained by analyzing the data from the tests. The main analogous materials of Class III surrounding rock are barite powder, high-strength gypsum and quartz sand with fly ash, quartz sand, anhydrous ethanol and rosin for Class V surrounding rock. Analogous materials for rockbolts, steel arches are replaced by aluminum bar and iron bar respectively with both shotcrete and secondary lining corresponding to gypsum and water. In addition, load release rate of Class V surrounding rock should be less than Class III surrounding rock. The fenestration level had large influence on the load sharing ratio of the secondary lining, with a difference of more than 30%, while the influence of the support time was smaller. The Sharing ratios of secondary lining in Class III surrounding rock do not exceed 12%, while those of Class V surrounding rock exceed 40%. The overall difference between the results of model tests and numerical simulations is small, which verifies the feasibility of similar material development in this study.

• 한국컴퓨터정보학회논문지
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• 제17권9호
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• pp.157-164
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• 2012

최근 의료서비스 환경에서 진료정보 교류는 의료의 안정성 및 질 증대, 진료업무 효율성 향상, 의료기관 운영 효율성, 환자의 편의성 증대를 가져올 수 있는 필수 의료 서비스 모델이다. 하지만 의료기관별 정보화 수준이 다양하고, 표준화된 시스템이 마련되어 있지 않으며, 기관별로 서로 상이한 정보시스템이 구축되어 있어 실질적인 진료정보 교류가 어려운 상황이다. 이 논문에서는 국내 법제도 안에서 진료정보 교류를 활성화 하기위해 관련 기술표준 및 진료정보 교류 모델에 대해 분석하였고 이중 가장 이상적인 지연 응답 모델을 기반으로 보다 나은 성능 개선을 위하여 진료정보 교류 프레임워크를 설계하였다. 성능 개선 진료정보 교류 프레임워크는 진료정보 교류 시 메타데이터 플로우와 실제 CDA 문서 플로우를 구분하여 기존 지연 응답 모델 기반 시스템과의 성능 비교 실험 결과 약 24%의 성능 향상을 얻었다.

• 펄프종이기술
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• 제37권3호
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• pp.1-8
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• 2005

Increase in the utilization rate of recycled paper and closing level of papermaking system increased the problem associated with stickies that include decrease in process runnability and product quality. It is required to establish a process for removing the micro stickies to solve the problems associated with stickies. In this study, the application of flotation process as a method to remove micro stickies was examined. Model micro stickies (MMS) were prepared using microcrystalline cellulose (MCC) and pressure sensitive adhesives (PSA), and the influence of three nonionic surfactants on the removal efficiency of MMS from flotation process was examined. Also the effect of surfactants on the deposition of micro stickies that remaining in the papermaking wet end onto wire was examined. Removal efficiency of MMS by flotation was increased when the proportion of nonionic surfactant with propylene oxide (PO) type hydrophilic tail was increased and stock pH was 7. It was suggested that this nonionic surfactant minimized the increase of surface energy of hydrophobic MMS. The MMS with high hydrophobicity remaining in the papermaking system, however, would cause more serious deposition problems on papermaking wet end. Therefore, it is of great importance to increase the removal efficiency of MMS in flotation process for the prevention of papermaking system contamination caused by stickies deposition.