• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.119-129
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• 2004

This paper is designed to report the results of development and validation procedures in relation to the Freeway Incident Management System (FIMS) prototype development as part of Intelligent Transportation Systems Research and Development program. The central core of the FIMS is an integration of the component parts and the modular, but the integrated system for freeway management. The whole approach has been component-orientated, with a secondary emphasis being placed on the traffic characteristics at the sites. The first action taken during the development process was the selection of the required data for each components within the existing infrastructure of Korean freeway system. After through review and analysis of vehicle detection data, the pilot site led to the utilization of different technologies in relation to the specific needs and character of the implementation. This meant that the existing system was tested in a different configuration at different sections of freeway, thereby increasing the validity and scope of the overall findings. The incident detection module has been performed according to predefined system validation specifications. The system validation specifications have identified two component data collection and analysis patterns which were outlined in the validation specifications; the on-line and off-line testing procedural frameworks. The off-line testing was achieved using asynchronous analysis, commonly in conjunction with simulation of device input data to take full advantage of the opportunity to test and calibrate the incident detection algorithms focused on APID, DES, DELOS and McMaster. The simulation was done with the use of synchronous analysis, thereby providing a means for testing the incident detection module.

• Journal of Korea Multimedia Society
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• v.15 no.12
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• pp.1464-1474
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• 2012

In this paper, we propose a QoS (Quality of Service)-aware and cooperative resource reservation scheme using cross-layer link adaptation for wireless high definition video transmission through UWB (Ultra Wide Band) network with D-MAC (Distributed Medium Access Control). A wireless high definition video transmission system usually requires stable high throughput even without line-of-sight, e.g., a destination device in another room separated by a wall. Since the WiMedia D-MAC supporting DRP (Distributed Reservation Protocol) scheme causes lots of DRP resource reservation conflicts due to failure of beacon detection in wireless channel environment, overall performances of the WiMedia D-MAC can be deteriorated. And the current WiMedia MAC standard has not considered QoS provisioning even though QoS parameters such as a range of service rates are provided to each traffic stream. Therefore, we propose Relay DRP protocol with QoS-based relay node selection criterion, which makes a relay path to avoid DRP resource reservation conflicts and guarantee QoS more stably through cross-layer link adaptation of cooperative relay transmission scheme and is compliant with the current WiMedia D-MAC protocol. Simulation results demonstrate performance improvements of the proposed method for throughput and QoS provisioning.

• Journal of Auto-vehicle Safety Association
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• v.3 no.2
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• pp.17-21
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• 2011

Vehicle safety device such as active headrest and rear detection system has been developing as people are interested about rear end collision more than head on or than front. However, there is no any standard or criterion in order to evaluate vehicle safety device for rear end collision. Also there is no test protocol about rear end collision in vehicle experiment. Therefore, this research developed scenario for experiment about rear end collision in vehicle experiment. Also this research evaluated dangerousness about vehicle test and fitness about re-enacting rear end collision using scenario developed using commercial software (PC-Crash) which can re-enact vehicle collision in virtual vehicle experiment. Scenario developed according to statistics from National Highway Traffic Safety Administration and German In-Depth Accident Study. Scenario has twelve cases which composed of Re-LVS (Rear end Leading Vehicle Stop), Re-LVM (Rear end Lead Vehicle Moving) and scenario for evaluation about malfunction of active headrest.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.3104-3120
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• 2017

The intelligent monitoring system has been successfully applied in many fields such as: monitoring of production lines, transportation, etc. Smart surveillance systems have been developed and proven effective in some specific areas such as monitoring of human activity, traffic, etc. Most of critical application monitoring systems involve object tracking as one of the key steps. However, task of tracking of moving object is not easy. In this paper, the authors propose a method to implement human object tracking in outdoor environment based on human features in shearlet domain. The proposed method uses shearlet transform which combines the human features with context-sensitiveness in order to improve the accuracy of human tracking. The proposed algorithm not only improves the edge accuracy, but also reduces wrong positions of the object between the frames. The authors validated the proposed method by calculating Euclidean distance and Mahalanobis distance values between centre of actual object and centre of tracked object, and it has been found that the proposed method gives better result than the other recent available methods.

• Biomedical Science Letters
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• v.16 no.3
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• pp.193-196
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• 2010

Multiplex PCR-based short tandem repeat (STR) analysis is considered as a good tool for monitoring bone marrow engraftment after sex-mismatched allogeneic transplantation and provides a sensitive and accurate assessment of the contribution of both donor and/or recipient cells in post-transplantation specimens. Forensic STR analysis and quantitative real time PCR are used to determine the proportion of donor versus recipient each contained within the total DNA. The STR markers were co-amplified in a single reaction by using commercial $PowerPlex^{(R)}$ 16 system and $AmpFISTR^{(R)}$ $Identifiler^{(R)}$ / $Yfiler^{(R)}$ PCR amplification kits. Separation of the PCR products and fluorescence detection were performed by ABI $PRIS^{(R)}$ 3100 Genetic Analyzer with capillary electrophoresis. The $GeneMapper^{TM}$ ID software were used for size calling and analysis of STR profiles. Extracted DNA was quantified by the $Quantifiler^{TM}$ Human DNA / Y Human Male DNA Quantification Kit The intent of this study was to analyze the ratio of donor versus recipient cells in the post-transplant peripheral blood, spleen, lung and kidney specimens. Specimens were taken from the traffic accident male victim who had been engrafted from bone marrow female donor. Blood and spleen specimens displayed female donor DNA profile. Kidney specimen showed male recipient DNA profile. Interestingly, lung tissue showed mixed profiles. The findings of this study indicate that the forensic STR analysis using fluorescence labeling PCR combined with capillary electrophoresis is quick and reliable enough to assess the ratio of donor versus recipient cells and to monitor the mixed chimeric patterns.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.5
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• pp.561-568
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• 2014

The Republic of Korea Army is using R-NAD of MIL-STD-188-220 as a Media Access Control protocol. Under urgent situations, almost all stations transmit data frames and then the network will reach a saturation state. Several articles have been devoted to the study of R-NAD performance. However, most of them focus on comparing the performance of some NADs using network simulation tools. We propose an analytical model to compute the throughput of R-NAD under the assumption of a network traffic saturation. Analytical results were verified by Monte Carlo methods. We have shown that the performance of a success probability and an average idle time remains almost unchanged as the total number of stations increases. We have also shown that Type 1/2/4 operation mode outperforms Type 3 operation mode in throughput. The results showed that the system with a squelch detection achieved a better performance than the one without it. The longer DATA time had a higher throughput.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.1
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• pp.69-76
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• 2010

The segmentation of moving object in video sequence is a core technique of intelligent image processing system such as video surveillance, traffic monitoring and human tracking. A typical method to segment a moving region from the background is the background subtraction. The steps of background subtraction involve calculating a reference image, subtracting new frame from reference image and then thresholding the subtracted result. One of famous background modeling is Gaussian mixture model (GMM). Even though the method is known efficient and exact, GMM suffers from a problem that includes false pixels in ROI (region of interest), specifically shadow pixels. These false pixels cause fail of the post-processing tasks such as tracking and object recognition. This paper presents a method for removing false pixels included in ROT. First, we subdivide a ROI by using shape characteristics of detected objects. Then, a method is proposed to classify pixels from using histogram characteristic and comparing difference of energy that converts the color value of pixel into grayscale value, in order to estimate whether the pixels belong to moving object area or shadow area. The method is applied to real video sequence and the performance is verified.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3258-3279
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• 2019

Recently, ransomware has earned itself an infamous reputation as a force to reckon with in the cybercrime landscape. However, cybercriminals are adopting other unconventional means to seamlessly attain proceeds of cybercrime with little effort. Cybercriminals are now acquiring cryptocurrencies directly from benign Internet users without the need to extort a ransom from them, as is the case with ransomware. This paper investigates advances in the cryptovirology landscape by examining the state-of-the-art cryptoviral attacks. In our approach, we perform digital autopsy on the malware's source code and execute the different malware variants in a contained sandbox to deduce static and dynamic properties respectively. We examine three cryptoviral attack structures: browser-based crypto mining, memory resident crypto mining and cryptoviral extortion. These attack structures leave a trail of digital forensics evidence when the malware interacts with the file system and generates noise in form of network traffic when communicating with the C2 servers and crypto mining pools. The digital forensics evidence, which essentially are IOCs include network artifacts such as C2 server domains, IPs and cryptographic hash values of the downloaded files apart from the malware hash values. Such evidence can be used as seed into intrusion detection systems for mitigation purposes.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.701-702
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• 2020

본 논문에서는 Jetson-Nano와 데스크탑에서 OpenCV와 YOLOv3 실시간 객체 인식 알고리즘을 이용하여 웹캠을 통해 주차장 등의 출입 차량 인식 통계 시스템을 개발하였다. 최근 에지컴퓨팅에 관심이 증가하고 있는 시점에서 Nvidia사에서 개발하여 보급하고 있는 Jetson-Nano에 YOLOv3 tiny와 OpenCV를 이용하여 차량인식을 수행하고, 구글에서 개발한 오픈 소스 Tesseract-OCR을 이용해 차량번호인식하여 입출차 혹은 주차시 차량정보를 확인할 수 있다. 딥러닝 학습 알고리즘에서 전기차 번호판의 특징점을 인식하여 전기차를 판별하여 일반차량이 전기차 주차구역에 불법주차하는 것을 모니터링할 수도 있다. 출입한 차량 데이터 베이스에서 입출차 시각, 차량번호, 전기차여부등이 확인 가능하다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.297-298
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• 2022

현재 도로 위 차량은 다양한 기능이 탑재되어 있고, 이는 운전자의 편의와 안전을 위해 발전해왔다. 하지만 음주운전과 안전운전 불이행에 의한 교통사고는 꾸준히 발생하고 있으며, 이 사고율은 단순히 제도적 규제와 운전자의 주의만으로는 감소시키기 어렵다고 판단된다. 본 논문은 제도적인 규범만이 아닌 기계적인 차원에서의 음주운전 사고 예방과 안전운전 불이행 사고의 방지를 하기 위해 '음주측정 시동 및 안전운전 보조시스템'을 제안한다. 이러한 문제를 해결하고자 알코올 측정 센서를 통해 시동을 걸기 전 음주측정을 해 음주운전의 가능성을 차단하고 초음파 센서를 이용하여 전, 후·측방 감지를 하고 주변의 장애물과 운전자의 부주의 시 즉각적인 피드백을 제공해 안전운전 불이행 사고를 방지할 수 있다.