• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.205-206
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• 2018

Recently, interest in unmanned vehicles, autonomous vehicles and connected cars has increased, and autonomous driving capability is also increasing. Depending on the autonomous driving ability, the maximum number of steps is divided into 6 steps. The higher the step, the less the involvement of the person in the running, and the person does not need to be involved at the highest stage. Today's autonomous vehicles have been developed in stages 4 to 5, but solutions are not clearly defined in case of an accident, so only the test run is possible. Such an accident occurring during traveling is almost inevitable, and it is judged who has made a mistake in case of an accident, which increases the punishment for the accident. Although a black box is used to clarify such a part, it is easy to delete a photographed image, and it is difficult to solve an accident such as a hit-and-run. In this paper, we design a driving record system using black chain to solve such an accident.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.916-921
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• 2018

Recently, interest in autonomous vehicle has increased, and autonomous driving capability is also increasing. Depending on the autonomous driving ability, the maximum number of steps is divided into 6 steps. The higher the step, the less the involvement of the person in the running, and the person does not need to be involved at the highest stage. Today's autonomous vehicles have been developed high level, but solutions are not clearly defined in case of an accident, so only the test run is possible. Such an accident occurring during traveling is almost inevitable, and it is judged who has made a mistake in case of an accident, which increases the punishment for the accident. Although a black box is used to clarify such a part, it is easy to delete a record, and it is difficult to solve an accident such as a hit-and-run. In this paper, i design a driving record system using black chain to solve accidents.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.13-22
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• 2021

The clinical decision support system uses accumulated medical data to apply an AI model learned by machine learning to patient diagnosis and treatment prediction. However, the existing black box-based AI application does not provide a valid reason for the result predicted by the system, so there is a limitation in that it lacks explanation. To compensate for these problems, this paper proposes a system model that applies XAI that can be explained in the development stage of the clinical decision support system. The proposed model can supplement the limitations of the black box by additionally applying a specific XAI technology that can be explained to the existing AI model. To show the application of the proposed model, we present an example of XAI application using LIME and SHAP. Through testing, it is possible to explain how data affects the prediction results of the model from various perspectives. The proposed model has the advantage of increasing the user's trust by presenting a specific reason to the user. In addition, it is expected that the active use of XAI will overcome the limitations of the existing clinical decision support system and enable better diagnosis and decision support.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.30-33
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• 2008

PLC는 실시간 운영체제와 어플리케이션을 이용하여 하드웨어 장치들을 관리하고 제어한다. 하지만 하드웨어 장치를 관리하는 핵심인 실시간 운영체제가 블랙박스화 된 경우 어플리케이션 만을 이용 한 입출력 장치의 테스트 방안이 고려되어야 한다. 본 논문에서는, PLC의 어플리케이션 프로그램인 FBD를 이용한 입출력 장치의 테스트 방안과 원자력 발전소 PLC에 적용한 사례에 대해 기술 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.952-954
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• 2013

모델 기반 평가 방법은 블랙박스 테스트의 한 종류로 평가 항목의 생성과 평가 항목의 실행이 모델 기반 평가 도구를 통하여 자동으로 이루어지는 평가 방법이다. 자동차 지능형 헤드램프의 AFLS/ADB를 대상으로 무작위 평가 생성 기법과 T-method 평가 생성 기법을 이용 하여 평가 항목을 생성하고 비교해 보았으며 Vector CANoe를 사용하여 시뮬레이션을 구성하고 CAPL을 이용하여 스크립트를 작성하고 평가하여 나온 평가 보고서를 확인 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.273-276
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• 2021

최근의 기계 학습 (딥러닝)은 기존의 전통적인 통계 분석 방법들에 비해 효율성과 정확도가 높은 장점이 있지만, 처리과정이 블랙박스와 같아 결과 값의 중요한 원인 또는 근거 요인을 찾기 어렵다는 단점을 가지고 있다. 이를 해결하기 위한 최근의 XAI (eXplainable AI) 연구를 기반으로 하여, 본 논문에서는 의료기관에서 전정기관의 이상을 판별하기 위해 수작업으로 이루어지고 있는 HIT (head impulse test) 테스트 결과를 자동화하고, 설득력 있는 신뢰도 검정을 위해, XAI 기반 DoWhy 프레임 워크를 사용하였다. 전정기관 이상으로 의심되는 환자의 동공 움직임을 optical flow 로 추적하고, 정상인과의 Wasserstein metric 의 DoWhy 검증을 통해 전정기관 이상 여부의 신뢰도 구간을 검정한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.542-550
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• 2015

Usually, a new SSD (Solide State Drive) product is developed based on the software platform of the previous product. Therefore, when using the same test case was used to evaluate the previous generation evaluation of new products are a number of advantages may be, but a priority or weight is the inefficiency exists in the use of the evaluation resources due to not considered. A new method is proposed to prevent the waste of testing resources. Through the analysis of the evaluation data for the previous products, the combinations of testing cases with the highest probability for defect detections are identified. When the software is to be reused, most part of the base software platform is rarely modified and only some modules are added or modified. So, the whole software system may have similar types of defects with the previous products. By utilizing the evaluation data for the previous proucts, we can detect defects at an early stage.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.6
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• pp.9-16
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• 2017

An Algorithm for Lane Detection and Lane Departure Warning for a Vehicle Driving on Roads is proposed in This Paper. Using Images Obtained from On-board Cameras for Lane Detection has Some Difficulties, e.g. the Increase of Fault Detection Ratio Due to Symbols on Roads, Missing Yellow Lanes in the Tunnel due to a Similar Color Lighting, Missing Some Lanes in Rainy Days Due to Low Intensity of Illumination, and so on. The Proposed Algorithm has been developed Focusing on Solving These Problems. It also has an Additional Function to Determine How much the Vehicle is leaning to any Side between The Lanes and, If Necessary, to Give a Warning to a Driver. Experiments Using an Image Database Built by Collecting with Vehicle On-board Blackbox in Six Different Situations have been conducted for Validation of the Proposed Algorithm. The Experimental Results show a High Performance of the Proposed Algorithm with Overall 97% Detection Success Ratio.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1705-1713
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• 2018

It is currently undergoing the fourth industrial revolution, which is the convergence of ICT and manufacturing, connecting both industrial equipment and production processes to one network and communicating with each other. The fact that they are connected to one network has the advantage of management, but there is a risk of security. In particular, Wi-Fi can be easily accessed by outsiders through a software change of the MAC address or password exposures. In this paper, by applying the method of Beacon using a Bluetooth Low Energy Add in Bluetooth 4.0, we propose a system of black-box approach to secure connections to wireless Internet, users do not have to know the password. We also implemented the proposed system using the raspberry pi and verified the effectiveness of a real-time system by testing the communication.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.3
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• pp.95-105
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• 2019

In recent years, image processing techniques for detecting road surface damaged spot have been actively researched. Especially, it is mainly used to acquire images through a smart phone or a black box that can be mounted in a vehicle and recognize the road surface damaged region in the image using several algorithms. In addition, in conjunction with the GPS module, the exact damaged location can be obtained. The most important technology is image processing algorithm. Recently, algorithms based on artificial intelligence have been attracting attention as research topics. In this paper, we will also discuss artificial intelligence image processing algorithms. Among them, an object detection method based on an region-based convolution neural networks method is used. To improve the recognition performance of road surface damage objects, 600 road surface damaged images and 1500 general road driving images are added to the learning database. Also, supervised learning using background object recognition method is performed to reduce false alarm and missing rate in road surface damage detection. As a result, we introduce a new method that improves the recognition performance of the algorithm to 8.66% based on average value of mAP through the same test database.