• 한국자동차공학회논문집
• /
• 제22권6호
• /
• pp.49-58
• /
• 2014

This paper proposes a new assessment and reliability validation method of Lane Departure Assistance System based on DGPS-GIS by measuring lanes with camera vision. Assessment of lane departure is performed with yaw speed measurement and determination method for false alarm of ISO 17361 and performance validation is executed after generating departure warning boundary line by considering deviation error of LDAS using DGPS. Distance between the wheel and the lane is obtained through line abstraction using Hough transformation of the lane image with camera vision. Evaluation validation is obtained by comparing this value with the distance obtained with LDAS. The experimental result shows that the error of the extracted distance of the LDAS is within 5 cm. Also it proves performance of LDAS based on DGPS-GIS and assures effectiveness of the proposed validation method for system reliability using camera vision.

• 정보처리학회논문지C
• /
• 제8C권5호
• /
• pp.517-524
• /
• 2001

공개키 기반 인증시스템에서 사용자의 실수로 비밀키가 노출되었거나 자격의 박탈, 유효기간 만료 등의 이유로 인증서를 폐지해야 할 경우가 있다. 이에 따라서 각 사용자는 수신한 인증서가 유효한 것인지를 확인해야만 한다. 이 인증서 폐지 여부를 확인하는 방법으로는 CRL. Delta- CRL, OCSP 등의 방식이 개발되었다. 하지만 이 모든 방식에서의 인증서 유효성 검증은 실시간으로 처리해야 하므로 많은 통신량을 발생시키는 문제점을 가지고 있다. 본 논문에서는 CRL관리의 문제점인 전송시점 차이에 따른 무결성 문제와 실시간 처리로 인한 서버와 네트웍의 과도한 트래픽 발생을 해결한 DARC(DAta Radio Channel)를 이용한 효율적인 CRL 구축 방안을 제안하였다.

• 한국정보과학회논문지:데이타베이스
• /
• 제34권2호
• /
• pp.153-165
• /
• 2007

XML은 웹 데이타 표현 및 교환을 위한 표준으로 많은 응용 분야에서 널리 이용되고 있다. XML Schema는 표준 XML 스키마로, 정의된 XML Schema에 의거하여 작성된 XML 문서를 ‘유효한 XML 문서’라고 하며 이러한 XML 문서는 갱신이 된 후에도 XML Schema에 대해 유효함이 보장되어야 한다. 본 논문은 갱신 이전에 갱신과 관련된 부분에 대한 유효 검증을 수행하여 불필요한 유효 검증을 제거한 XML Schema 유효 검증 메커니즘인 ‘예상 갱신 부분 유효 검증 기법’과 갱신 별 유효 검증 알고리즘을 제안한다. 또한 XML 데이타와 XML Schema 간의 매핑 방법과 XML Schema 유효 검증을 지원하기 위해 효율적인 스키마 정보 추출을 제공하는 XML Schema 저장 방법을 제안한다. 마지막으로 실험을 통해 스키마 저장 방법에 따른 갱신 별 유효 검증 성능을 비교한다.

• 한국군사과학기술학회지
• /
• 제13권3호
• /
• pp.478-485
• /
• 2010

The vaccine is biological pretreatment that improves immunity to a particular disease. We can get immunity from producing antibody with injection antigen which has ability to defense against the disease. The ELISA is the most widely used method to measure antibody titer. We have developed and performed validation of ELISA according to the guideline of KFDA and ICH. In this paper, we have verified ELISA method is an excellent method to measure the titer of anti-PA antibody. We have constructed recombinant protective antigen among anthrax toxins and used as antigen of ELISA. In this validation, we have evaluated precision (repeatability, interlaboratory precision), specificity, linearity(range) and LOD, which are validation articles suggested by guideline. Inter-person precision was replaced with inter-laboratory precision. From the results, we have confirmed high precision in all experiments with CV under 20%.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2008년도 춘계학술대회논문집
• /
• pp.795-800
• /
• 2008

The sound transmission loss is a key index to evaluate the acoustic performance of a car-body structure at the high frequency range. From this paper, a new validation method for in-situ sound transmission loss is proposed. First, in-situ sound transmission loss is measured by using PU intensity probe on the condition of complete vehicle. Second, validation test, which is consisted of internal, external and total frequency response function test, is performed by using volume acceleration source and microphones. Then, these test results are compared to validate the accuracy of in-situ sound transmission loss. Finally, the test result of in-site method is compared with results of two reverberant room test method and SEA analytical method. The reliability of in-situ method is confirmed by these procedures.

• Korean Chemical Engineering Research
• /
• 제59권4호
• /
• pp.532-541
• /
• 2021

최근 인공지능에 대한 관심이 높아짐에 따라 화학공정분야에서도 인공지능을 활용한 연구가 많아지고 있다. 그러나 인공지능 기반 모델이 충분히 일반화되지 않아 학습에 이용되지 않은 새로운 데이터에 대한 예측률이 떨어지는 과적합 현상이 빈번하게 일어나고 있으며, 교차검증은 과적합을 해결하는 방법 중 하나이다. 본 연구에서는 2,3-BDO 분리 공정 온도 예측 모델의 초매개변수 중에서 배치 개수와 반복횟수를 조정하기 위해 시계열 교차검증을 적용하고 일반적으로 사용되는 K 겹 교차검증과 비교하였다. 결과적으로 K 겹 교차검증을 사용했을 때 보다 시계열 교차검증 방식을 사용했을 때 MAPE는 0.61% 증가한 반면 RMSE는 9.06% 감소하였고 학습 시간은 198.29초 적게 소요되었다.

• Journal of Astronomy and Space Sciences
• /
• 제28권1호
• /
• pp.63-70
• /
• 2011

The needs for satellite formation flying are gradually increasing to perform the advanced space missions in remote sensing and observation of the space or Earth. Formation flying in low Earth orbit can perform the scientific missions that cannot be realized with a single spacecraft. One of the various techniques of satellite formation flying is the determination of the precise baselines between the satellites within the formation, which has to be in company with the precision validation. In this paper, the baseline of Gravity Recovery and Climate Experiment (GRACE) A and B was determined with the real global positioning system (GPS) measurements of GRACE satellites. And baseline precision was validated with the batch and sequential processing methods using K/Ka-band ranging system (KBR) biased range measurements. Because the proposed sequential method validate the baseline precision, removing the KBR bias with the epoch difference instead of its estimation, the validating data (KBR biased range) are independent of the data validated (GPS-baseline) and this method can be applied to the real-time precision validation. The result of sequential precision validation was 1.5~3.0 mm which is similar to the batch precision validation.

• 대한의용생체공학회:의공학회지
• /
• 제40권2호
• /
• pp.48-54
• /
• 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.

• Journal of applied mathematics & informatics
• /
• 제3권2호
• /
• pp.183-192
• /
• 1996

The least squares cross validated bandwidth is the mini-mizer of the corss validation function for choosing the smooth parame-ter of a kernel density estimator. It is a completely automatic method but it requires inordinate amounts of computational time. We present a convenient formula for calculation of the cross validation function when the kernel function is a symmetric polynomial with finite sup-port. Also we suggest an algorithm for finding global minima of the crass validation function.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제3권1호
• /
• pp.9-19
• /
• 2011

The paper describes the validation of two time domain methods to simulate the behaviour of a destroyer operating in steep, stern-quartering seas. The significance of deck-edge immersion and water on deck on the capsize risk is shown as well as the necessity to account for the wave disturbances caused by the ship. A method is described to reconstruct experimental wave trains and finally two deterministic validation cases are shown.