• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.4
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• pp.242-250
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• 2014

Conventional researches of standard tool validating cryptographic algorithm have been studied for the internet environment, for the mobile internet. It is important to develop the validation tool for establishment of interoperability and convenience of users in the information systems. Therefore, this paper presents the validation tool of Elliptic Curve Cryptography algorithm that can test if following X9.62 technology standard specification. The validation tool can be applied all information securities using DES, SEED, AES, SHA-1/256/384/512, RSA-OAEP V2.0, V2.1, ECDSA, ECKCDSA, ECDH, etc. Moreover, we can enhance the precision of validation through several experiments and perform the validation tool in the online environment.

• Journal of Biomedical Engineering Research
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• v.40 no.2
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• pp.48-54
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• 2019

This paper proposed a method of validation data augmentation for improving the grading accuracy of diabetic macular edema (DME) using deep learning. The data augmentation technique is basically applied in order to secure diversity of data by transforming one image to several images through random translation, rotation, scaling and reflection in preparation of input data of the deep neural network (DNN). In this paper, we apply this technique in the validation process of the trained DNN, and improve the grading accuracy by combining the classification results of the augmented images. To verify the effectiveness, 1,200 retinal images of Messidor dataset was divided into training and validation data at the ratio 7:3. By applying random augmentation to 359 validation data, $1.61{\pm}0.55%$ accuracy improvement was achieved in the case of six times augmentation (N=6). This simple method has shown that the accuracy can be improved in the N range from 2 to 6 with the correlation coefficient of 0.5667. Therefore, it is expected to help improve the diagnostic accuracy of DME with the grading information provided by the proposed DNN.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.10a
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• pp.158-159
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• 2016

This paper aims to analyze design errors prevented by building information modeling (BIM)-based design validation to identify consideration factors for successfully implementing BIM-based design validation in the architecture, engineering, and construction (AEC) projects. More than 1,300 design errors detected by BIM-based design validation in three BIM-based projects in South Korea are categorized according to its causes, work types, and likelihoods to cause project delay and cost overrun. Each design error is analyzed by conducting face-to-face interviews with practitioners in the three projects.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.11
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• pp.485-491
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• 2006

In this paper, we study the problem of model selection for Support Vector Machine(SVM) predictor for short-term load forecasting. The model selection amounts to tuning SVM parameters, such as the cost coefficient C and kernel parameters and so on, in order to maximize the prediction performance of SVM. We propose that Cross-Validation method can be used as a model selection algorithm for SVM-based load forecasting technique. Through the various experiments on several data sets, we found that the difference between the prediction error of SVM using Cross-Validation and that of ideal SVM is less than 5%. This shows that SVM parameters for load forecasting can be efficiently tuned by using Cross-Validation.

• Journal of Industrial Technology
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• v.22 no.A
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• pp.95-100
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• 2002

When the wireless PKI is applied to 3G/4G mobile network which requires mutual authentication among all entities, the wired PKI procedure is not feasible for validating visited network's certifications because of the wireless environmental limitations. Also, if we depend on WAP based PKI, we cannot support confidence about certification validation since the information offered from visited network is not authenticated. Therefore, in this paper we consider various and unique characteristics of mobile environment for certification validation at 3G/4G mobile networks based on wireless PKI and then propose two certification validation procedures.

• Korean Journal of Pharmacognosy
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• v.51 no.1
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• pp.78-85
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• 2020

In this study, we shortly introduced the HPLC method validation guideline for the analysis of functional food which was released from the Ministry of Food and Drug Safety of Korea in Dec 2018. The HPLC method validation was performed through the aforementioned HPLC method validation guideline in order to quantitate scopoletin content from the hot-water extract powder of Artemisia annua Linné. The HPLC method was validated by evaluating specificity, accuracy, precision, limit of quantitation and linearity. All parameters were in the suitable ranges which are designated in the guideline, which indicated the current HPLC method is reliable to quantitate the scopoletin content from the hot-water extract of A. annua.

• Proceedings of the Korean Statistical Society Conference
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• 2004.11a
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• pp.195-198
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• 2004

One Important problem in a cancer microarray study is to identify a set of genes from which a molecular prognostic indicator can be developed. In parallel with this problem is to validate the chosen set of genes. We develop in this note a K-fold cross validation procedure by combining a 'pre-validation' technique and a bootstrap resampling procedure in the Cox regression . The pre-validation technique predicts the microarray predictor of a case without having seen the true class level of the case. It was suggested by Tibshirani and Efron (2002) to avoid the possible over-fitting in the regression in which a microarray based predictor is employed. The bootstrap resampling procedure for the Cox regression was proposed by Sauerbrei and Schumacher (1992) as a means of overcoming the instability of a stepwise selection procedure. We apply this K-fold cross validation to the microarray data of 92 gastric cancers of which the experiment was conducted at Cancer Metastasis Research Center, Yonsei University. We also share some of our experience on the 'false positive' result due to the information leak.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.9
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• pp.73-79
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• 2012

In this paper, we study on how to determine the number of hidden layer neurons in neural network for predicting defect size of steam generator tube. It was reported in the literature that the number of hidden layer neurons can be efficiently determined with the help of cross-validation. Although the cross-validation provides decent estimation performance in most cases, the performance depends on the selection of validation set and rather poor performance may be led to in some cases. In order to avoid such a problem, we propose to use multifold cross-validation. Through the simulation study, it is shown that the estimation performance of defect width (defect depth, respectively) attains 94% (99.4%, respectively) of the best performance achievable among the considered neuron numbers.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.6
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• pp.55-65
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• 2003

To perform the certificate validation processing on the user-side application induces the very considerable overhead because of the complex and time-consuming characteristic of the validation processing. Especially, the verification for digital signature over a certificate can be the major reason of the overhead, since the verification accompanies with the cryptographic calculation over each certificate on the certificate path. In this paper, we propose a new certificate validation scheme can reduce the overhead caused by user-side certificate validation processing and improve the utilization of CAs. As the result, our proposed scheme can not only reduces the overhead for the validation processing by decreasing the cryptographic calculation but also improves the utilization of CAs by employing them to the validation processing.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.4_1
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• pp.353-361
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• 2014

The study has planned to analyze the most typical specification validation in Korea and the other countries, which shows the well-formed and schema validation, in purpose to enhance users' conveniences. Also, we suggested the validation system to provide the information compatibility regarding to application programs for non-expert. The featured KML specification supported by the VWorld 3D Desktop and the Google Earth. Based on this above estimation, the system has been designed to inform potential problems and the applicability in 3D Desktop and Google Earth for the user. The KML information passed through the proposed validation is simply expressed on the map, so as instructed the information on the program selection and additional details instruct users as a text file. When not being suitable for the proposed program, another program can be considered, and the problems which may be occurred are also announced to increase the compatibility of KML.