• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.241-249
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• 2017

Recently, as a vehicle black box device has propagated, it has been increasingly used as a legal proof and there are the needs to verify an integrity of the video data. However, since the black box classified as the embedded system has a small capacity and low processing speed, there are limitations to the storage of video files and the integrity verification processing. In this paper, we propose a novel method for video files integrity in the black box environment with limited resources by using lightweight hash function LSH and the security of HMAC. We also present the test results of CPU idle rate at integrity verification in vehicle black box device by implementing this method, and verify the effectiveness and practicality of the proposed method.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.6
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• pp.182-190
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• 2004

This paper presents reconstruction analysis of vehicle trajectory using records of a developed black box, and results of validation tests. For reconstruction of vehicle trajectory, the black box records the longitudinal and lateral accelerations and yaw-rate of vehicle during a pre-defined time period before and after the accident. One 2-axis accelerometer is used for measuring accelerations, and one vibrating structure type gyroscope is used for measuring yaw-rate of vehicle. The vehicle's planar trajectory can be reconstructed by integrating twice accelerations along longitudinal and lateral directions with yaw-rate values. However, there may be many kinds of errors in sensor measurements. The causes of errors are as follows: mis-alignment, low frequency offset drift, high frequency noise, and projecting 3-dimensional motion into 2-dimensional motion. Therefore, some procedures are taken for error compensation. In order to evaluate the reliability and the accuracy of trajectory reconstruction results, the black box was mounted on a passenger car. The vehicle was driven and tested along various specified lanes. Through the tests, the accuracy and usefulness of the reconstruction analysis have been validated.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.382-384
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• 2002

컴포넌트 기 반 소프트웨어 개발에서 구현에 사용되는 각 컴포넌트의 성능을 이 해하는 것은 중요하다. 본 논문은 Black Box의 관점에서 EIB 컴포넌트의 성능을 측정하는 방댄 과 이 측정 방법을 지원하는 성능 측정 도구의 설계 구현에 대하여 설명한다 본 도구는 대상 컴포넌트에 대 한 영 향을 최소화하기 위하여 클라이언트 시스템에서 동작하여 성능을 측정할 수 있도록 설계되었다. 또한 사용자가 적은 노력으로 새로운 컴포넌트의 성능을 측정 할 수 있도록 테스트 프로그램을 자동으로 생성한다. 본 연구의 결과는 상용 컴포넌트의 시장에 등장하는 여러 컴포넌트의 성능을 객관적 인 방법으로 비교 측정 할 수 있는 효과적인 수단이 될 것으로 기대된다.

• The Korean Journal of Applied Statistics
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• v.8 no.2
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• pp.27-41
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• 1995

In this paper, the proportion of durg-abuse and gas/bond-inhalation among the high school students in Kwangju and Chonnam has been estimated using the survey of the Black-Box method and randomized response technique. We have analyzed empirically the effects of both methods for the surveys of sensitive characters.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1517-1518
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• 2015

The paper deals with the real time sensing of a chatter vibration in grinding machine line of automobile bearings using machine black box. The chatter vibration plays bad role in machining quality such as high roughness as well as tool life and machine failure. In this paper, the vibration signals of the automobile hub bearing in the grinding process are shown in the time domain and frequency domain. Through the vibrational signals, chatter vibration badness is detected using machine black box. Therefore, machine black box can be applied to the real time detection of the grinding process in engineering fields.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.12
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• pp.2119-2126
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• 2016

In this paper, we developed a smart black box that can monitor and record the information of the sensor from subsystem in the smart grid system. The plant is the complex power system which is integrated by solar power system, grid-connected power systems, and BESS(battery energy storage system). The black box with the web-server application can connect and synchronize to an external monitoring system and a smart phone. We hope that this system is to contribute to improve operational efficiency, reliability, and stability for the smart grid power system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2859-2864
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• 2013

Recently, a great attention has been paid to a car black box device in the automobile markets besides it provides an accident re-construction based on the data which contains audio, video, and some meaningful driving information. Also, it is expected that the device will get to promote around public transit and the market will greatly grow within a few years. Thus, this research conducted of preference the influencing factors in decisions purchase of auto black box. Factors influencing in decisions purchase of black box were divided safety, functionality, differentiation, economics. A questionnaire survey was conducted to those who worked in a black box company. This study suggests practical and theoretical implications of factors influencing purchase decisions based on the results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.421-424
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• 2014

Currently, car black box, and CCTV products, such as image processing are prevalent on the market giving convenience to users.In particular, the black box of the driver driving a vehicle accident that occurred at the time to help identify the cause of the accident is gaining. Black box, the front or rear of the vehicle can check the image only. Because of the angle of view of the driver's vision or the black box can not determine a non-scene. In order to solve this problem by a more advanced system, the black box AVM (Around-View Monitoring) systems have been developed. AVM system to the vehicle's top-view images obtained before and after, left and right of the image, ie, $360^{\circ}$ image of the vehicle can be secured. AVM system must be installed on the vehicle, a desktop that you can acquire images Cling conditions. In this paper, we propose an Android-based tablet using the AVM system of the vehicle can achieve a $360^{\circ}$ image you want to design the system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.817-826
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• 2022

AI technology is being successfully introduced in many fields, and models deployed as a service are deployed with black box environment that does not expose the model's information to protect intellectual property rights and data. In a black box environment, attackers try to steal data or parameters used during training by using model output. This paper proposes a method of inferring the type of model to directly find out the composition of layer of the target model, based on the fact that there is no attack to infer the information about the type of model from the deep learning model. With ResNet, VGGNet, AlexNet, and simple convolutional neural network models trained with MNIST datasets, we show that the types of models can be inferred using the output values in the gray box and black box environments of the each model. In addition, we inferred the type of model with approximately 83% accuracy in the black box environment if we train the big and small relationship feature that proposed in this paper together, the results show that the model type can be infrerred even in situations where only partial information is given to attackers, not raw probability vectors.

• Journal of KIISE
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• v.41 no.11
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• pp.982-991
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• 2014

The integrity assurance of recorded video by car black boxes are necessary as the car black box is becoming more popular. In this paper, we propose a video data integrity assurance scheme reflecting the features of car black box. The proposed method can detect any kind of deletion, insertion, modification of frames by cyclic chaining using inter block relation. And, it provides the integrity assurance function consistently even in cases of file overwriting because of no more free space in storage, partial file data lost. And non-repudiation is supported. Experimental results with a car black box embedded system with A8 application processor show that our method has a feasible computational overhead to process full HD resolution video at 30 frames per second in a real time.