• Information and Communications Magazine
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• v.24 no.9
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• pp.86-95
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• 2007

사무실과 가정의 컴퓨터, 대중화된 휴대폰 사용 그리고 인터넷으로 특징지어지는 정보통신 기술덕택에 현대인은 어느 정도 시간과 공간의 제약을 극복하고 있다. 그러나, 아직도 현대인은 예전에 비해 가까워진 지구촌을 여러 가지 이동체를 타고 이동을 하여야한다. 특히 현대인에게 있어서 자동차는 가정과 직장을 이어주고 업무 목적지와 휴식을 위한 휴양지를 찾아가기 위한 실질적인 이동 수단으로서 가정과 직장에 이은 또 하나의 정보통신기술이 필요한 중요한 영역이다. 따라서 미래형 자동차는 편의 주행, 쾌적 주행을 제공하고 그리고 안전 주행이 보장되는 지능형 자동차의 수요가 예견되고 있으며 이를 구현하기위해 첨단 정보통신, 전자, 제어기술이 요구되고 있다. [1][5][6] 이상과 같은 지능형 자동차 관련 응용 분야는 위 그림과 같이 자동차 여러 부위에 장착되는 첨단 전장품들에 의해서 구현이 된다. 그러나, 기존의 자동차와 달리 미래형 지능형 자동차에서는 많은 전장품들이 장착됨에따라 소요되는 전원의 용량이 증가하게되어 기존 12V에서 42V 시스템으로 바뀔 예정이다. 또한 각종 센서로부터 정보신호를 받아서 정보처리를 하고 Actuator를 제어하기 위해서 많은 전장품들간에 연결되는 신호선들의 배선이 복잡해짐에따라 생산부서에서의 공정비용이 증가하게된다. 또한 향후 석유 에너지의 고갈에 따른 전기 자동차로의 전환이 예상되는데 위에서 언급된 많은 전자장치들간 신호를 주고 받기위해 차량내 여러부위로 퍼져있는 배선들이 차지하는 무게가 상당하므로 차체의 무게를 가볍게 해야하는 차세대 전기 자동차의 성능 향상을 위해서 효율적인 In Vehicular Network 기술이 요구된다. 또한 향후 자동차에 장착된 많은 전자장치들의 고장 진단 및 내장된 SW를 효율적으로 갱신하기 위해서는 여러 전자장치들이 하나의 버스로 연결되는 In Vehicle network이 필수적이다.

• 한국지구물리탐사학회:학술대회논문집
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• 2005.05a
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• pp.215-220
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• 2005

In order to apply to land mine detection effectively, GPR using an optical electric field sensor as a receiver has been developed. The optical electric field sensor is very small and uses optical fiber instead of metallic coaxial cable. With the combination of these advantages and the bistatic radar system, it can be possible for an operator to measure quite flexible and safely. The sensor has been tested in stepped frequency radar system with frequency which consists of a vector network analyzer, a fixed double ridged horn antenna as transmitter. For considering effectiveness in real field, we applied impulse radar system, which consist of a digital oscilloscope and a impulse generator to produce the impulse. Detection of a PMN2 mine model was carried out by the impulse radar system at a sand pit. The PMN2 were detected clearly with sufficiently high resolution, the target contrast was almost the same while the scanning time decreased down to 1/100.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.201-206
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• 2016

Aircraft have a cross axis of the three each other for maintenance of aircraft position. It is called roll axis, pitch axis and yaw axis. Attitude reference system is a sensor for detecting a change of the three axis. In this paper, mobile robot platform install part of Pan-tilt and HMD attitude reference system, because of we use control camera. The acceleration sensor is very weak a lot of noise to vibration, also problem with data from process of mapping to the data problems to arise. However to solve this problem, we removed the average filter and Cosine Interpolation for Pan-tilt. Using capacity evaluation for outdoor environment for we are proposing. Mobile robot has HMD and equipped Pan-tilt. We control mobile robot camera. In this experiment result is little bit delay happening, however Pan-tilt camera is relatively stable control checking. Also, we will checking any terrain and slopes is no problem for mobile robot driving skills.

• Journal of Advanced Navigation Technology
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• v.22 no.6
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• pp.551-556
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• 2018

In recent years, drones have been used to measure aircraft flights data and weather information. Related applications include the measure for low-altitude atmospheric data, the measure for atmospheric fine dust, and the measure for air pollution. However, the mounting position of the atmospheric measurement sensor should be mounted by considering the effects of propeller flow, the EMI effects, and the changes in the weight of the drone. Among these, the upper flow of the propeller affects the wind speed and direction, so the optimal position should be selected. This study deals with the proper height of the atmospheric data measurement sensor. Through the flow analysis, we study the flow characteristics of around a drone and suggest the proper sensor mounting height.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.263-269
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• 2019

In this study, the characteristics and operation of a multi-purpose loader equipped with various sensors such as a sensor capable of measuring the boom length, an angle sensor capable of measuring the tilt of the left and right sides of the boom and the loader, and a load cell capable of measuring the weight during lifting We have implemented a system that displays related data values. The configuration of the system reads the values from the sensors, sends them to the vehicle controller, and transmits the calculated results of the overturn rate and other important information to the display device using the CANOpen protocol. Also, in the calculation of the overturn ratio, the structure of the multi-purpose loader is similar to that of the crane belonging to the heavy equipment, and the crane overturn rate calculation method is used. Through this study, we can observe the condition of the heavy equipment and recognize the emergency situations such as abalone through the display device.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.59-72
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• 2010

WIM(Weigh-In-Motion) is the system measuring the weight of the vehicle with a high-speed. In the existing WIM system, vehicle weight is measured based on the constant speed and the error ratio has 10%. However, because of measuring the driving pattern, that is abnormal driving pattern which is like the acceleration and down-shift of the drivers, it has the error ratio which is bigger than the real. In order to it reduces the error ratio of WIM system, the improved WIM system needs to find the abnormal driving pattern. In order to reducing the error ratio of these WIM systems, the improved WIM system can find abnormal driving patterns. In this paper, the improved WIM system which analyzes the abnormality driving pattern influencing on the error ratio of WIM system of an existing and minimizes the error span is designed. The improved WIM system has the multi step loop structure of adding the loop sensor to an existing system. In addition, the measure function defined as an intrinsic is improved and the weight measured by the abnormal driving pattern is amended. The analysis of experiment result improved WIM system can know the fact that the error span reduces by 8% less than in the existing the maximum average sampling error 22.98%.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 1999.05a
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• pp.45-45
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• 1999

일반 구조용 탄소강은 수용액 중에 노출될 때 부식에 의한 손상을 받기 쉽다. 부식의 양지를 위한 방법으로 사용 매체 중에 부식억제제를 첨가하여 탄소강의 부식속도를 낮추는 방법은 흔히 사용되는 방법이다. 부식억제제는 부식억제의 원리에 따라 양극부식억제제, 음극부식억제제 그리 고 이들의 혼합부삭억 세제 둥 여러 종류가 목적에 따라 사용되고 있다. 일반적으로 부식억제제의 성능 평가에는 무게감량볍, 표면분석법, 분극거동측정, 부석전위, 선 형분극법에 의한 부식속도 측정 등 다양한 방법이 시도되고 있다. 이 중에서 전기화학적 평가볍 은 부삭억제제의 작용 기구 규명 등을 위하여 많이 사용되고 있다. 한편 제품의 개발 단계에서 실질적인 평가법으로 갈리 사용하고 있는 방법은 무게 감량법인데 이 방법은 전면부식에 의한 금 속 손실량을 측정하여 부식억제능을 측정하는 방법이다. 그러냐 실제로 부삭억제제가 사용되고 있는 환경에서의 부식양상을 판찰하여보면 전면부식에 의한 손상보다는 국부부식에 의한 손상이 보다 치명적언 경우를 종종 목격할 수 있다. 이러한 관점에서 가존의 무게감량법은 한계가 있다. 따라서 본 연구에서는 이러한 국부부식을 보다 효과적으로 평가하기 위해 새로운 시험법을 도 입 상용 부식억제제의 종류별로 비교하였다. 부식억제제로는 수용액 중의 부식억제제로 널리 사용되고 있는 Nalco 39L과 본 연구실에서 SK해미칼과 공동 개발한 GH-110 등에 대하여 MCA(Multiple Crevice Assembly)를 이용 틈부식 저항성을 평가하였다. 또한 박막화된 전기저항형 부석속도 측정 센서를 틈부식 형태의 부식측정 에 적용하는 연구를 행하였다. 시험에 사용한 재갚는 천연가스의 감압 온도보상용으로 운전하는 가스히터의 주 구성 재료인 저탄소강을 사용하였으며 열화된 부식억제제 용액으로 사용기간이 서로 다른 수용액들에 대하여 평가 방법을 적용하여 비교하였다 다양한 부식억 제 제 수용액을 비교한 결과 MCA(Multiple Crevice Assembly)를 이용한 틈부식 억제능 시험은 실제 현장 사험 결과와 어느 정도 일치하는 결과를 보였다. 새로운 틈부식 저항성 측정법으로 시도한 철박막을 이용 틈부식 측정법은 육안 검사를 실시하지 않고도 틈부식의 전행 여부를 확인할 수 있는 가능성을 확인하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.88-93
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• 2010

In this paper, an edge detecting sensor using ultrasonic detection module is developed which will be used for areas of industrial applications such as plastic film winding system, cloth winding system, paper roll industry, etc. The developed sensor have properties that more exactly detect the edge line, that less affected by environmental noise, and that it produced more stable measurement output. The mass of the winding object is dominantly affect the dynamics of the system and it could produce undesirable result of the system such as stability of the closed-loop system and accuracy of edge-line-following-control(ELFC) objective. Also, there exist sensor noise due to the mechanical vibration or other environmental effect. These noise also degrade the efficiency of control system. In order to compensate these problems, this paper present a fuzzy PI/PID edge-line-controller, and which is designed and implemented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.1-8
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• 2016

Current sensors are used widely in the fields of current control, monitoring, and measuring. They have become more popular with the increasing demand for smart grids in a power network, generation of renewable energy, electric cars, and hybrid cars. Although open loop Hall effect current sensors have merits, such as low cost, small size, and weight, they have low accuracy. This paper describes the design and fabrication of a 300A open loop current sensor that has high accuracy and temperature performance. The core of the current sensor was calculated numerically and the signal conditioning circuits were designed using circuit analysis software. The characteristics of the manufactured open loop current sensor of 300 A class was measured at currents up to 300 A. According to the test of the current sensor, the accuracy error and linearity error were 0.75% and 0.19%, respectively. When the temperature compensation was carried out with the relevant circuit, the temperature coefficients were less than $0.012%/^{\circ}C$ at temperatures between $-25^{\circ}C$ and $85^{\circ}C$.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.