• 전자공학회논문지 IE
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• v.43 no.4
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• pp.60-64
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• 2006

This system constructs system devoted to what supplement that I follow at an installation interval of attribute quotient repeater of a thing devoted wireless communication device gaining position information, and range of information is limited. A parking lot management system constructed a database of parking information, and the database information was planned so that there was the number of to easily offer client and an Administrator. There is a sensor in several to perceive a vehicle about adhesion in a radio communication device installed in a parking lot and covers, and hits data after parking to a server and transmits base information. The Administrator program that I verified an information treatment of the server parking management database that I did wireless hand phone emulator J2MEWTK with client and verified working together of a server, and was understood by a transfer of, parking information, and was devoted to a, server and an Administrator offered the menu screen which was easy for a user convenience and management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2430-2436
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• 2013

This study suggests a method of detecting the still object, which becomes a cause of danger within the crossroad. The Inverse Perspective Transform was performed in order to make the object size consistent by being inputted the real-time image from CCTV that is installed within the crossroad. It established the detection area in the image with the perspective transform and generated the adaptative background image with the use of the moving information on object. The detection of the stop object was detected the candidate region of the stop object by using the background-image differential method. To grasp the appearance of truth on the detected candidate region, a method is proposed that uses the gradient information on image and EHD(Edge Histogram Descriptor). To examine performance of the suggested algorithm, it experimented by storing the images in the commuting time and the daytime through DVR, which is installed on the cross street. As a result of experiment, it could efficiently detect the stop vehicle within the detection region inside the crossroad. The processing speed is shown in 13~18 frame per second according to the area of the detection region, thereby being judged to likely have no problem about the real-time processing.

• Journal of IKEEE
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• v.23 no.4
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• pp.1423-1429
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• 2019

Recently, a system that supports efficient interaction, a human machine interface (HMI), has become a hot topic. In this paper, we propose a new real time low-cost hand gesture control system as one of vehicle interaction methods. In order to reduce computation time, depth information was acquired using a time-of-flight (TOF) camera because it requires a large amount of computation when detecting hand regions using an RGB camera. In addition, fourier descriptor were used to reduce the learning model. Since the Fourier descriptor uses only a small number of points in the whole image, it is possible to miniaturize the learning model. In order to evaluate the performance of the proposed technique, we compared the speeds of desktop and raspberry pi2. Experimental results show that performance difference between small embedded and desktop is not significant. In the gesture recognition experiment, the recognition rate of 95.16% is confirmed.

• Journal of KSNVE
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• v.9 no.3
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• pp.613-620
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• 1999

Brake judder{or cold judder) caused by the disc thickness variation(DTV) is investigated experimentally, This cold judder is often perceived by steering wheel vibration, brake pedal pulsation, and vehicle body vibration. In this paper, how the DTV profile affects the vibration characteristics of vehicle body is shown by order tracking analysis(OTA) and operational vibration analysis(OVA) The tri-axial vibrations are measured at the knuckle, lower rm, and the body side of the lower arm. Also, measured are the wheel speed and the detail DTV profile. The interpretations of OTA results in three directions of tested vehicle indicate the relative importance in the contribution of the run-out and the DTV to the judder vibration. Also, the OVA results show the prominent vibration amplitude of the lower arm in the direction of the vehicle movement. in which the second order of wheel speed is dominant. These results could be used to diagnose the judder problem and to establish the correction methods.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2017.05a
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• pp.140-140
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• 2017

4륜 장착 자동차의 토크 전달은 2륜 구동, 4륜 구동 모드를 간단히 전환하는 방식(part time 4WD)과 항시 사륜 구동 모드에서 전후륜의 토크 전달비를 제어하는 방식(AWD, all wheel drive)이 있다. 경제의 발달에 따라서 취미 인구의 확대로 국내에만 180만 명의 R/C car 사용자가 있다. 이 중 2WD-4WD의 전환을 differential lock mechanism으로 구현한 수입산 모델의 가격이 1,000,000원을 호가하지만 가변 제어 방식이 아닌, 정차 후 2-4륜 구동 전환 방식을 적용하고 있으며 상대적으로 내구성이 떨어진다. DC motor의 출력이 늘어나고 배터리의 성능이 좋아진 현재 소형 RC car의 최고 속도는 80 km/h 정도로 빨라졌다. 그러나 마찰 계수가 낮은 노면(실내의 대부분 평활 처리된 복도)에서는 2륜 구동 모드의 활용도가 매우 낮다. 미끄러운 노면에서 후륜 구동 모드로는 oversteer가 발생하여 차량이 스핀하기 쉽고 전륜 구동 모드로는 understeer가 발생하여 제대로 된 코너링이 어렵다. 상시 4륜 구동 모드는 에너지 소모가 크고 전후륜이 tight coupling되어 있는 문제 때문에 일반적인 노면에서 부드러운 코너링이 잘 이루어지지 않는 문제가 있다. 본 연구에서 제안하는 방식은 그림 1와 같이 center shaft의 중간에 영구 자석으로 만들어진 토크 전달용 판이 있고 그 사이에 자계를 차폐할 수 있는 강자성체 셔터를 서보 기구에 연결하여 서보 회전각에 따라서 구동 쪽의 토크가 피구동축으로 전달되는 양을 연속 가변제어할 수 있다. 토크 전달용 판의 차폐 면적에 따른 토크 전달양을 전/후륜 바퀴의 Static torque를 통해 측정하였으며(그림 2), 공중 상태에서 즉 공기저항만을 고려한 상태에서의 RPM 회전수 차이 측정(그림3)을 통해 구동 쪽의 회전수가 피구동축으로 전달되는 양을 측정하여 연속가변 토크 제어 전달 기구의 성능을 확인하였다. 이 기구는 현재 1차적으로는 remote controller의 ch 3(ON/OFF제어 방식)에 연결하여 특정한 양의 토크를 전륜 쪽으로 보낼 수 있도록 구현이 가능하며, ch 2(PID제어 방식)에 연결하여 연속 가변 조절이 가능하도록 구현이 가능하다. 부가적으로 Arduino board를 내장하여 전후륜의 휠센서에서 입력되는 신호를 감지하여 자동적으로 전후륜에 배분되는 토크를 제어할 수 있도록 설계 중에 있다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.6
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• pp.488-496
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• 2015

This paper proposes a framework to determine the routes of multiple unmanned aerial vehicles (UAVs) to conduct multiple tasks in different locations considering the survivability of the vehicles. The routing problem can be formulated as the vehicle routing problem (VRP) with different cost matrices representing the trade-off between the safety of the UAVs and the mission completion time. The threat level for a UAV at a certain location was modeled considering the detection probability and the shoot-down probability. The minimal-cost path connecting two locations considering the threat level and the flight distance was obtained using the Dijkstra algorithm in hexagonal cells. A case study for determining the optimal routes for a persistent multi-UAVs surveillance and reconnaissance missions given multiple enemy bases was conducted and its results were discussed.

• Composites Research
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• v.26 no.3
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• pp.201-206
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• 2013

The electrical resistance measurement was investigated as a damage monitoring method. In this study, 0.5 wt% Carbon nanotube reinforced polypropylene (CNT/PP) composites were evaluated under compressive fatigue loading. The shape of specimens was $20^{\circ}$ curved round type. Compression strength and electrical resistance were measured at different sections of specimen during compression. The microcracks of CNT/PP composites were detected based on the changing ratio of electrical resistance. Micro-damage during compressive fatigue test could be detected by electrical resistance measurements. The reason is that the contact points of CNTs in composites decreased under fatigue loading. During compressive fatigue test, larger change of electrical resistance was detected at the microcrack sections. It was proved that microcracks could be detected by electrical resistance measurement under compression test, whereas the real delamination parts were consistent with the predicted results by electrical resistance measurement.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.247-257
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• 2020

Livestock epidemics, such as foot and mouth disease, are causing enormous economic losses due to their strong infectious power. Early detection of infectious diseases in livestock is very important, but it is difficult to diagnose early in individual farms, and there are frequent cases of transmission through inter-farm movement such as veterinarians and feeding vehicles. In this study, we studied the technology that enables rapid diagnosis without veterinarian farm visits and prevents further spread by automatically monitoring the body temperature of livestock using ubiquitous-based information and communication technology in the early stage of onset and sending it in real time. We have presented a technique for systematically managing livestock epidemics at the farm level, regional level, and national level by using the community mapping technique by using the remote medical treatment system linked to the automatically collected information. In this process, community mapping items for each step and stakeholders were derived for crowd sourcing based spatial information technology.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.10 no.4
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• pp.78-84
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• 1996

In this study, 3-D object recognition and restoration independent of the object translation for automotive kind recognition in parking administration system using an ultrasonic sensor array, neural networks and invariant moments are presented. Using invariant moment vectors of the acquired data 16$\times$8 pixels, 3-D objects could be classified by SCL (Simple Competitive Learning) neural networks. Modified SCL neural networks using the 16$\times$8 low resolution image was used for object restoration of 32$\times$32 high resolution image. Invariant moment vectors kept constant independent of the object translation. The recognition rates for the training and the testing data were 98[%] and 95[%], respectively. The experimental results have shown that ultrasonic sensor array with the neural networks could be applied for the detection of the automobiles and classification of the automotive kind.

• Journal of the Korean GEO-environmental Society
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• v.22 no.10
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• pp.13-19
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• 2021

Cracks in asphalt pavement occur due to changes in weather or impact from vehicles, and if cracks are left unattended, the life of the pavement may be shortened, and various accidents may occur. Therefore, studies have been conducted to detect cracks through images in order to quickly detect cracks in the asphalt pavement automatically and perform maintenance activity. Recent studies adopt machine-learning models for detecting cracks in asphalt road pavement using a Convolutional Neural Network. However, their practical use is limited because they require high-performance computing power. Therefore, this paper proposes a framework for detecting cracks in asphalt road pavement by applying a small deep learning model applicable to mobile devices. The small deep learning model proposed through the case study was compared with general deep learning models, and although it was a model with relatively few parameters, it showed similar performance to general deep learning models. The developed model is expected to be embedded and used in mobile devices or IoT for crack detection in asphalt pavement.