• Korean Journal of Agricultural Science
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• v.42 no.3
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• pp.269-276
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• 2015

Unmanned Aerial Vehicle (UAV) has several advantages over conventional remote sensing techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude, they can obtain good quality images even in cloudy weather. In this paper, we discussed the state-of-the-art of the domestic and international use of UAV in agricultural sector as well as assessed its utilization and applicability for agricultural environment in Korea. Association of robotic, computer vision and geomatic technologies have established a new paradigm of low-altitude aerial remote sensing that has now been receiving attention from researchers all over the world. In a field study, it has been found that use of UAV imagery in an agricultural subsidy program can reduce the farmers' complain and provide objective evidence. UAV high resolution photography can also be helpful in monitoring the disposal zone for animal carcasses. Due to its expeditiousness and accuracy, UAV imagery can be a very useful tool to evaluate the damage in case of an agricultural disaster for both parties insurance companies and the farmers. Also high spatial and temporal resolution in UAV system can increase the prediction accuracy which in turn help to maintain the agricultural supply and demand chain.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.4
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• pp.1203-1222
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• 2012

To provide active notification and enhance drivers'awareness of their surroundings, a vision-based collision warning system that detects and monitors surrounding vehicles is proposed in this paper. The main objective is to prevent possible vehicle collisions by monitoring the status of surrounding vehicles, including the distance to the other vehicles in front, behind, to the left and to the right sides. In addition, the proposed system collects and integrates this information to provide advisory warnings to drivers. To offer the correct notification, an algorithm based on features of edge and morphology to detect vehicles is also presented. The proposed system has been implemented in embedded systems and evaluated on real roads in various lighting and weather conditions. The experimental results indicate that the vehicle detection ratios were higher than 97% in the daytime, and appropriate for real road applications.

• Journal of Ocean Engineering and Technology
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• v.13 no.2 s.32
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• pp.74-82
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• 1999

Nowadays, the crank shaft motor vehicle has become essential as the important component. The machining precision was asked for manufacturing the shaft. They could be unstable in the quality by the conventional are welding. Both in-process quailty control and high reliability of the weld are the major concerns in applying friction wlding to the economical and qualified mass-production. No reliable nondestructive monitoring method is avaliable at present to determine the real-time evaluation of automatic production quality control for bar-to-bar friction welding of the crank shaft of O.D 24mm for motor vehicle. This paper, so that, presents the experimental examinations and statistical quantitative analysis of the correlation between the cumulative counts of acoustic emission(AE) during plastic deformation periods of the welding and the tensile strength and other properties of the bar-to-bar welded joints of O.D. 24mm shaft as well as the various welding variables, as a new approach which attempts finally to develop real-time quality monitoring system for friction welding, resulting in practical possiblility of real-time quality control more than 100% joint efficiency showing good weld with no micro structural defects.

• Environmental Engineering Research
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• v.23 no.3
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• pp.265-270
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• 2018

This study was to measure the exposure of diesel vehicle drivers to elemental carbon (EC) as an indicator of diesel particulate matter (DPM) emitted from diesel vehicles in an underground coal mine over 3 years as per NIOSH Method 5040. Our study results (range $10{\mu}g/m^3-377{\mu}g/m^3$ for the loader drivers, $19{\mu}g/m^3-162{\mu}g/m^3$ for the SMV drivers) were similar or less than previous study results (range $5{\mu}g/m^3-2,200{\mu}g/m^3$) for normal mine operations. From this study results, it appeared that the exposures decreased in the second and the third year. It is thought that the reasons for the decreased personal DPM (EC) exposures over the 3 years were related to the following recommendations; more frequent monitoring and maintenance of the diesel vehicles and their DPM filtration systems, more consistent monitoring of the mine's ventilation system and changes of work practices such as minimizing the opening of diesel vehicle windows. An educational program on adverse health effects of exposure to DPM and use of respiratory protection (P2 respirators) also assisted in minimizing driver exposure to DPM.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1661-1667
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• 2011

This study was intended to identify the applicability of energy harvesting technologies for powering a wireless health monitoring sensor system of railroad vehicle. As measuring surrounding energy under the normal operation environment, it is possible to predict amount of the applicable energy. The results of energy prediction represents the feasibility of power sources for wireless sensor systems through energy harvesting technologies under the circumstance in which the thermal energy and vibration energy are generated.

• Transactions of the Korean Society of Automotive Engineers
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• v.19 no.1
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• pp.51-57
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• 2011

Information of the lateral velocity and the sideslip angle in a vehicle is very useful in many active vehicle safety applications such as yaw stability control and rollover prevention. Because cost-effective sensors to measure the lateral velocity and the sideslip angle are not available, reliable algorithms to estimation them are necessary. In this paper, a sliding mode observer is designed to estimate the lateral velocity. The side slip angle is estimated using the recursive least square with the disturbance observer and the pseudo integral. The estimated parameters from the combined estimation method are updated recursively to minimize the discrepancy between the model and the physical plant, and any possible effects caused by disturbances. The performance of the proposed monitoring system is evaluated through simulations and experiments.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.550-553
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• 2009

도로 환경 모니터링을 위한 센서 노드의 전력원으로 유도풍을 이용한 압전에너지 하베스팅 기술은 기존 재생 에너지의 설치 및 작동 조건에 영향을 받지 않고, 도로상에 주오염원인 자동차에서 발생되는 폐에너지를 활용하는 친환경적 에너지 순환시스템을 구현하는 핵심 요소이다. 차량 유도풍에 의해 발생되는 풍압으로 도로 상의 구조물에 진동을 유발한다. 이 때 발생한 진동 에너지는 압전체를 통해 전기 에너지로 변환, 저장할 수 있다. 이렇게 저장된 에너지는 센서의 구동과 무선 데이터 송수신을 위한 센서 노드의 전력원으로 사용함으로써 별도의 전력원이 필요없게 된다. 본 연구에서는 60km/h로 주행하는 한 대의 차량에 의해 2.7m/s의 유도풍이 발생하여 0.6g로 도로 상의 구조물에 에너지를 전달하게 된다. 전달된 에너지가 압전체를 통해 15uJ 전기에너지로 저장된다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.4
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• pp.16-23
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• 2020

An electric vehicle operates at high currents and requires real-time monitoring of the entire system for ensuring efficiency and safety of the vehicle. Current sensors are applied to drive the motors, inverters, and battery control systems, and are the key components to ensure constant monitoring of the magnitude and waveforms of the operating current. In this study, a heat treatment process condition to influence the performance of Permalloy current sensors was developed; the correlation between the output capacity, low-temperature characteristics, and high-temperature characteristics of the current sensor was studied; and the process was optimized to meet the required output accuracy and temperature characteristics.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1061-1067
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• 2010

In this paper, we propose a simulator for testing of the Navigation Control System(NCS) in Bimodal-tram. NCS uses values of all sorts of sensors installed in vehicle to decide current position, and to control speed and steering of vehicle to go to a next position. Major functions of simulator are input processing of the driver and generation of virtual sensor data and driving profile(navigation path, magnetic information), and the NCS function. Virtual sensor data is generated according to output data from the NCS, driving profile and input processing of the driver, and monitoring systems is operated separatedly to confirm of NCS operation. This paper discusses about the implementation of the simulator, and analyzes and evaluates the simulation results.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.209-212
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• 2009

수소에너지의 무궁한 가능성 때문에 관련 기술은 미래 국가 경쟁력을 좌우할 것이며, 이러한 수소에너지의 핵심으로 수소제조공정 및 수소스테이션 관련 기술은 국가연료전지 시장을 비롯한 수소연료전지자동차 산업 전반에 커다란 영향을 미칠 것으로 예상되고 있다. 그러므로 세계 각국은 수소에너지를 미래에너지원으로 개발하기 위하여 대규모로 기술개발 및 실증연구를 실시하고 있으며, 주로 수소연료전지자동차 개발과 아울러 수소스테이션 개발에 대한 인프라 구축에 대해 이루어지고 있다. 국내에서도 국가주도로 수소스테이션 건설이 이루어지고 있으며, 본 연구에서는 수소연료전지자동차를 이용하여 수소인프라와의 모니터링에 대한 현황에 대해 논의하고자 한다.