• Journal of Auto-vehicle Safety Association
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• v.9 no.1
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• pp.13-18
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• 2017

In recent years, NCAP regulations of many countries have induced automaker to improve the vehicle crashworthiness. But, the current NCAP regulations don't cover all types of traffic accidents. And rapid-increasing market share of compact cars and SUVs has brought for both consumer and automaker to pay more attention on crash compatibility. So, many countries have tried to develop the new crash test mode and update the present crash test mode. Especially, Euro NCAP has been developing a new impact protocol of the car-to-car frontal offset impact including the crash compatibility assessment. There are plans to introduce this new protocol in 2020, and it will be replaced the current Euro NCAP frontal offset impact. The test dummy in the front seats of this new test mode will be changed from 50% Hybrid-III male to 50% THOR male. This paper will address the vehicle responses, the occupant responses and the vehicle compatibility performance from a full vehicle crash test using the new car-to-car frontal offset test protocol of Euro NCAP.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.164-168
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• 2007

In this paper, we propose the eye detection algorithms which can apply to the Real-Time Embedded systems. To detect the eye region, the feature vectors are obtained at the first step and then, PCA(Principal Component Analysis) and amplitude projection method is applied to composite the feature vectors. In the decision state, the estimated probability density functions (PDFs) are applied by the proposed Bayesian method to detect eye region in an image from the CCD camera. The simulation results show that our proposed method has a good detection rate on the frontal face and this can be applied to the embedded system because of its small amount of the mathematical complexity.

• The Journal of Engineering Geology
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• v.19 no.2
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• pp.119-129
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• 2009

In relation to slope stability analysis, geologic characteristics and engineering properties of the discontinuities in three slopes selected are compared and analyzed by both square-inventory method and scanline survey. The aim of the study is in evaluating which method is applied better in slope stability analysis by comparing results of the two methods with those of direct observation on outcrop of slope failures generated. In each slope, results of comparative analysis among geologic and engineering properties are analyzed similarly one another. However, results of orientation analysis in slope 2 are different each other, which indicates orientation of joints in slope 2 depends on persistency and frequency of each joint and also indicates appearance of new joint set with different orientation. Probability density distribution and spacing in slope 3 are high in comparison to those in slope 2 and 3. The reasons are that distribution of psammitic rocks and development of minor folds in slope 3 unlike slope 2 and 3 are closely associated with development of joints. The research data indicate that the square-inventory method predicts more precise failure aspects and is more effective way than scanline survey in analyzing slope stability of the study area.

• Journal of the Korean Society of Radiology
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• v.10 no.5
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• pp.313-320
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• 2016

This research has been conducted to investigate the method of reducing patients' radiation exposure during X-ray imaging of Both Hip Ap examination by removing the grid. When using the grid with 60 kV and a non-filter, the Entrance Surface Dose was 4.77 mGy, and the result was highest and 34 times higher than the lowest measurement when removing the grid with 90 kV, and 0.3 mmCu filter. Based on the ICRP Pub. 60 at the level of 70 kV, the Effective Dose of testis and ovary was 0.255 mSv when using the grid, and that result was approximately 5.2 times higher than the 0.049 mSv when removing the grid. Based on the ICRP Pub. 103 at the level of 70 kV, the Effective Dose of testis and ovary was 0.090 mSv when using the grid, and that result was approximately 4.5 times higher than the 0.020 mSv when removing the grid. When using the grid, the range of Exposure Index was 671 to 782, and when removing the grid, the range of Exposure Index was 513 to 606, and both results were at optimal exposure conditions and valid diagnostic imaging after evaluations. Therefore, removing the grid during X-ray imaging of Both Hip Ap will help reduce patients radiation exposure.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.353-360
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• 2012

The purpose of this study was to determine whether there are relationships between radiologic parameters for osteoporosis by the proximal femur radiograhps and bone mineral density, as assessed by Dual Energy X-ray Absorptiometry(DEXA). Proximal femur anterior-posterior projection were taken from 112 individuals who undergoing DEXA. Radiographic parameters including canal-to-calcar ratio(CCR) and cortical thickness indices(CTI) were measured and compared with bone mineral density($g/cm^2$), T-score. The intramedullary femoral canal width(FW) and calcar width(CW) at osteoporosis group was significantly larger than that of control group. The CCR were correlated negatively with bone mineral density($g/cm^2$)(r=-0.340, p<0.01), and the CTI were correlated positively(r=0.624). The diagnostic accuracy of CCR for osteoporosis was 63.4%, and kappa value was 0.271. And the accuracy of CTI was 67.0%, and kappa value was the level of fair agreement(${\kappa}$=0.258). The proximal femur with large CCR and small CTI had lower T-scores. When evaluating proximal femur anterior-posterior radiographs, those patients with the thinnest femur diaphyseal cortices should be referred for further osteoporosis investigation.

• The korean journal of orthodontics
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• v.38 no.4
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• pp.252-264
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• 2008

Objective: To aid the development of a frontal image simulating program, we evaluated the soft tissue frontal changes in relationship to movement of hard tissue with orthognathic surgery of facial asymmetry patients. Methods: Preoperative and postoperative frontal cephalograms and frontal view photographs of 45 mandibular surgery patients with facial asymmetry were obtained in a standardized manner. Vertical and horizontal changes of hard tissue and soft tissue were measured from cephalograms and photographs, respectively. Soft tissue change in result to hard tissue change was then analyzed. Results: Both vertical and horizontal correlation analysis showed a weak relationship between the changes. Hard tissue points that were picked for 1 : 1 mean ratio with soft tissue points did not show any significant relevance. For each soft tissue change, regressive equation was formulated by stepwise multiple regression analysis, and the equation for soft tissue Menton was most reliable in predicting changes. Both vertical and horizontal hard tissue changes were used together in prediction of vertical or horizontal soft tissue change. Conclusions: The results suggest that computerized image simulation using regression analysis may be of help for prediction of soft tissue change, while 1:1 mean ratio method is not useful.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.1-9
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• 2020

As pet dogs rapidly increase in number, abandoned and lost dogs are also increasing in number. In Korea, animal registration has been in force since 2014, but the registration rate is not high owing to safety and effectiveness issues. Biometrics is attracting attention as an alternative. In order to increase the recognition rate from biometrics, it is necessary to collect biometric images in the same form as much as possible-from the face. This paper proposes a method to determine whether a dog is facing front or not in a real-time video. The proposed method detects the dog's eyes and nose using deep learning, and extracts five types of directional face information through the relative size and position of the detected face. Then, a machine learning classifier determines whether the dog is facing front or not. We used 2,000 dog images for learning, verification, and testing. YOLOv3 and YOLOv4 were used to detect the eyes and nose, and Multi-layer Perceptron (MLP), Random Forest (RF), and the Support Vector Machine (SVM) were used as classifiers. When YOLOv4 and the RF classifier were used with all five types of the proposed face orientation information, the face recognition rate was best, at 95.25%, and we found that real-time processing is possible.

• Journal of Korean Medical classics
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• v.5
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• pp.89-97
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• 1992

• 한국지역지리학회:학술대회
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• 2009.08a
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• pp.11-14
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• 2009

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1993.10a
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• pp.413-417
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• 1993