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Auto-Leveling of HID Headlamp Using Preview Control
Boojoong Yong,Heeyong Kang,Sungmo Yang 대한기계학회 2002 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.16 No.11
A newly developed high intensity discharge (HID) automotive headlamp results in a high luminous gradient at the cutoff line, and proves the superior concept in safer and more comfortable nighttime driving. This new headlamp technology provides drivers expanded night vision by a significantly improved light pattern. However, the HID headlamp may dazzle other traffics during traversing a rough road or encountering an unexpected bump. To resolve this problem, an automatic headlamp leveling device is necessary. A preview control is presented for the design of the leveling system. The proposed control algorithm is capable of attenuating a dynamic glare which is one of the major detractors to a driving in dark roads. Computer simulations using ADAMS are carried out to confirm the effectiveness on the control system.<br/>
Auto-Leveling of HID Headlamp Using Preview Control
Yang, Boojoong,Kang, Heeyong,Yang, Sungmo The Korean Society of Mechanical Engineers 2002 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.16 No.11
A newly developed high intensity discharge (HID) automotive headlamp results in a high luminous gradient at the cutoff line, and proves the superior concept in safer and more com-fortable nighttime driving. This new headlamp technology Provides drivers expanded night vision by a significantly improved light pattern. However, the HID headlamp may dazzle other traffics during traversing a rough road or encountering an unexpected bump. To resolve this problem, an automatic headlamp leveling device is necessary. A preview control is presented for the design of the leveling system. The proposed control algorithm is capable of attenuating a dynamic glare which is one of the major detractors to a driving in dark roads. Computer simulations using ADAMS are carried out to confirm the effectiveness on the control system.
Runtime Detection Framework for Android Malware
Kim, TaeGuen,Kang, BooJoong,Im, Eul Gyu Hindawi Limited 2018 Mobile information systems Vol.2018 No.-
<P>As the number of Android malware has been increased rapidly over the years, various malware detection methods have been proposed so far. Existing methods can be classified into two categories: static analysis-based methods and dynamic analysis-based methods. Both approaches have some limitations: static analysis-based methods are relatively easy to be avoided through transformation techniques such as junk instruction insertions, code reordering, and so on. However, dynamic analysis-based methods also have some limitations that analysis overheads are relatively high and kernel modification might be required to extract dynamic features. In this paper, we propose a dynamic analysis framework for Android malware detection that overcomes the aforementioned shortcomings. The framework uses a suffix tree that contains API (Application Programming Interface) subtraces and their probabilistic confidence values that are generated using HMMs (Hidden Markov Model) to reduce the malware detection overhead, and we designed the framework with the client-server architecture since the suffix tree is infeasible to be deployed in mobile devices. In addition, an application rewriting technique is used to trace API invocations without any modifications in the Android kernel. In our experiments, we measured the detection accuracy and the computational overheads to evaluate its effectiveness and efficiency of the proposed framework.</P>
강병도(Byungdo Kang),이호상(Hosang Lee),김형구(Hyounggu Kim),박경석(Kyoungsuk Park),용부중(Boojoong Yong),서태범(Tae-Beom Seo) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
LEDs (Light Emitting Diode) become more significant in exterior automotive lighting systems since they have been applied to CHMSL (Center High Mounted Stop Lamps) in 1990s. The LEDs are environmental friendly as well as energy saving light sources. They also provide long life and virtually unlimited styling potential in automotive headlamp applications. However, the chromaticity characteristics and the heat dissipation of LED headlamps are much different from conventional headlamps such as HID and halogen. An appropriate heat dissipation in LED headlamps is necessary for practical usage. In this study, we develop a heat dissipation system for an LED headlamp using CFD (Computerized Fluid Design) method. The prototype of LED headlamp is evaluated with respect to chromaticity performance using an anti-heat chamber. The developed LED headlamp shows a good visibility performance while further development for chromaticity is still necessary.
A Multimodal Deep Learning Method for Android Malware Detection Using Various Features
Kim, TaeGuen,Kang, BooJoong,Rho, Mina,Sezer, Sakir,Im, Eul Gyu IEEE 2019 IEEE transactions on information forensics and sec Vol.14 No.3
<P>With the widespread use of smartphones, the number of malware has been increasing exponentially. Among smart devices, android devices are the most targeted devices by malware because of their high popularity. This paper proposes a novel framework for android malware detection. Our framework uses various kinds of features to reflect the properties of android applications from various aspects, and the features are refined using our existence-based or similarity-based feature extraction method for effective feature representation on malware detection. Besides, a multimodal deep learning method is proposed to be used as a malware detection model. This paper is the first study of the multimodal deep learning to be used in the android malware detection. With our detection model, it was possible to maximize the benefits of encompassing multiple feature types. To evaluate the performance, we carried out various experiments with a total of 41 260 samples. We compared the accuracy of our model with that of other deep neural network models. Furthermore, we evaluated our framework in various aspects including the efficiency in model updates, the usefulness of diverse features, and our feature representation method. In addition, we compared the performance of our framework with those of other existing methods including deep learning-based methods.</P>
강병도(Byungdo Kang),박경석(Kyoungsuk Park),용부중(Boojoong Yong),김형구(Hyounggu Kim) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11
Japan has succeeded in developing the necessary headlamp technologies and commercializing the world's first headlamp utilizing white LED's. The LED headlamp also was applied to both Audi R8 in Europe and Cadillac Escalade Platinum in UAS in 2008. Because of the trend of global considering LED Headlamp, development to apply to LED headlamp in Korea is processing actively. However, LED headlamp have to use the high bright LED and heavy heat dispassion systems to proceed headlamp performance. Because of the structure problems weight and cost of the LED headlamp are risen. Therefore, for affordable cost of LED headlamp, the technical study is necessary. In this study, Prototype LED headlamp is made and evaluated luminous intensity, fuel consumption and exhaust gas with halogen headlamp. In the results of this study, the luminous intensity performance of LED headlamp is better and more eco-friendly then halogen headlamp.