• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.707-718
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• 2007

Recently, much studies for providing mobile users with suitable and useful content services, LBS(Location Based Service) corresponding to the change of users' location, are actively going on. First and foremost, this is basically owing to the progress of location management technologies such as GPS, mobile communication technology and the spread of personal devices like PDA and the cellular phones. Besides, the research scope of LBS has been changed from vehicle tracking and navigation services to intelligent and personalized services considering the changing information of conditions or environment where the users' are located. For example, it inputs the information such as heavy traffic, pollution, and accidents. The query languages which effectively search the stored vehicle and environment information have been studied depending on the increase of the information utilization. However, most of existing moving object query languages are not enough to provide a recommendation service for a user, because they can not be tested and evaluated in real world and did not consider changed environment information. In order to retrieve not only a vehicle location and environment condition but also use them, we suggest a moving object query language for recommendation service and implement a moving object query process system for supporting a query language. It can process a nearest neighbor query for recommendation service which considers various attributes such as a vehicle's location and direction, environment information. It can be applied to location based service application which utilizes the recommended factors based on environmental conditions.

• The KIPS Transactions:PartC
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• v.17C no.3
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• pp.259-270
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• 2010

In this paper, a Location Information-based Gradient Routing (LIGR) algorithm is proposed for setting up routing path based on physical location information of sensor nodes in wireless ad-hoc networks. LIGR algorithm reduces the unnecessary data transmission time, route search time, and propagation delay time of packet by determining the transmission direction and search range through the gradient from the source node to sink node using the physical location information. In addition, the low battery nodes are supposed to have the second or third priority in case of forwarding node selection, which reduces the possibility of selecting the low battery nodes. As a result, the low battery node functions as host node rather than router in the wireless sensor networks. The LIGR protocol performed better than the Logical Grid Routing (LGR) protocol in the average receiving rate, delay time, the average residual energy, and the network processing ratio.

• Journal of the Korean Society for Nondestructive Testing
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• v.35 no.5
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• pp.291-298
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• 2015

An array type probe for monitoring metal tubes is proposed in this paper which utilizes peak value and peak time of a pulsed eddy current(PEC) signal. The probe consists of an array of encircling coils along a tube and the outside of coils is shielded by ferrite to prevent source magnetic fields from directly affecting sensor signals since it is the magnetic fields produced by eddy currents that reflect the condition of metal tubes. The positions of both exciter and sensor coils are consecutively moved automatically so that manual scanning is not necessary. At one position of send-receive coils, peak value and peak time are extracted from a sensor PEC signal and these data are accumulated for all positions to form an array type peak value signal and an array type peak time signal. Numerical simulation was performed using the backward difference method in time and the finite element method for spatial analysis. Simulation results showed that peak value increases and the peak appears earlier as the defect depth or length increases. The proposed array signals are shown to be excellent in reflecting the defect location as well as variations of defect depth and length within the array probe.

• Journal of the Korean Magnetics Society
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• v.23 no.2
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• pp.49-53
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• 2013

A current sensor is one of important component which is used for the electrical current measurement during charge and discharge of the battery, and monitoring system of the motor controller in the electric and hybrid vehicle. In this study, we have developed an open loop type current sensor using GaAs Hall sensor and magnetic core has an air gap. The Hall sensor detect magnetic field produced by the current to be measured. The 3 mm air gap core was made by HGO electrical steel sheets after slitting, winding, annealing, molding, and cutting. Developed current sensor shows 0.03 % linearity within DC current range from -400 A to +400 A. Operating temperature range was extended to the range of $-40{\sim}105^{\circ}C$ using temperature compensating electronic circuit. To Improve frequency bandwidth limit due to the air flux of PCB (Printed Circuit Board) and Hall sensor, We employed an air flux compensating loop near Hall sensor or on PCB. Frequency bandwidth of the sensor was 100 kHz when we applied sine wave current of $40A{\cdot}turn$ in the frequency range from 100 Hz to 100 kHz. For the dynamic response time measurement, 5 kHz square wave current of $40A{\cdot}turn$ was applied to the sensor. Response time was calculated time reach to 90 % of saturation value and smaller than $2{\mu}s$.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2008.11a
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• pp.243-246
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• 2008

본 논문은 손을 이용하여 가상 객체와 상호작용이 가능한 모바일 증강현실 기술을 소개한다. 제안된 방법은 마커나 센서 없이 손바닥의 특징점만을 이용하여 손바닥 포즈(위치와 방향)를 계산하고, 손바닥 위에 가상 객체를 생성한다. 또한, 손가락 움직임을 추적하여 가상 객체와 자연스러운 상호작용을 가능하게 한다. 본 논문에서는 Ultra-Mobile PC (UMPC)를 이용하여 제안된 방법을 구현하고, 그 유용성을 검증한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.121-125
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• 2006

청소 로봇은 지도 작성 및 위치 인식을 기준으로 청소 방법을 랜덤(random)방식과 매핑(mapping)방식으로 분류 할 수 있다. 랜덤방식은 지도를 작성하지 않아 가격경쟁력이 있지만 효율이 떨어진다. 반면, 매핑방식은 지도를 작성하므로 청소 효율이 높지만 상대적인 가격경쟁력이 떨어진다. 그러므로 랜덤방식과 매핑방식의 문제점들을 보안하기 위해 본 논문은 고가의 센서 정보를 사용하지 않고 로봇이 주행 중에 발생되는 벡터(방향과 거리)값을 이용하여 로봇에게 지도 정보를 제공하는 알고리즘을 제안한다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.301-306
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• 2004

이 논문에서는 1m 해상도 위성영상에서 관측할 수 있는 여러 인공지물 중에서 아파트 및 산업용 건물 등, 비교적 중대형이고 사각형 형태인 건물들을 반자동으로 추출하기 위한 알고리즘을 소개한다. 기존에 연구된 건물추출을 위한 방식으로는 Perceptual Grouping, 스테레오 분석, LIDAR 센서 등에서 얻은 3 차원 정보를 이용하는 방식 등이 있다. 여기서는 단일영상 만을 이용하여 반자동으로 건물을 추출하는 알고리즘을 제안한다 이 알고리즘은 먼저 영상으로부터 라인을 추출한 후, 라인분석을 통하여 건물의 위치와 방향을 결정하고, 탬플릿 정합을 이용하여 이를 개선한다. 그리고 자동으로 추출된 건물외각선에 포함된 오류를 제거하기 위하여 수동편집 단계를 수행한다. 또한 먼저 수행한 건물추출 결과를 활용하여 주변에 유사한 형태의 건물외각선을 빠르게 추출하기 위해 기존에 추출된 건물 외각선 Polygon 을 탬플릿으로 정의하고 정합을 수행하여 건물 외각선을 추출한다. 개발된 알고리즘은 기존의 다른 방식들에 비해 추가적인 영상이나 정보를 요구하지 않고도 빠른 시간에 정확한 사각형형태의 건물을 추출할 수 있었다.

• Journal of IKEEE
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• v.27 no.3
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• pp.225-233
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• 2023

This paper implements a system that monitors human body lifting information in the event of a marine accident. The monitoring system performs ultrasonic communication through a lifting device controller that transmits underwater environment information, and LoRa communication is performed on the water to provide GPS information within 10 km to the control center or mother ship. The underwater lifting controller transmits pneumatic sensor, gyro sensor, and temperature sensor information. In an environment where the underwater conditions increase by one atmosphere of water pressure every 10m in depth, and the amount of air in the instrument decreases by half compared to land, a model of a 60kg underwater mannequin is used. Using one 38g CO2 cartridge in the lifting appliance SMB(Surface Maker Buoy), carry out a lifting appliance discharge test based on the water level rise conditions within 10 sec. Underwater communication constitutes a data transmission environment using a 2,400-bps ultrasonic sensor from a depth of 40m to 100m. The monitoring signal aims to ensure the safety and safe human structure of the salvage worker by providing water depth, water temperature, and directional angle to rescue workers on the surface of the water.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.278.2-278.2
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• 2013

그래핀은 우수한 전기적, 기계적, 광학적 특성들로 인하여 전자소자, 센서, 에너지 재료 등으로의 응용이 가능하다고 알려진 단 원자층의 탄소나노재료이다. 특히 그래핀을 전자소자로 응용하기 위해서는 캐리어 농도, 전하 이동도, 밴드갭 등의 전기적 특성을 향상시키거나 제어하는 것이 요구되며, 에너지 소재로의 응용을 위해서는 높은 전기전도도와 함께 기능화를 통한 촉매작용을 부여하여 효율을 향상시키는 것이 요구된다. 일반적으로 화학적 도핑은 그래핀의 전기적 특성을 제어하는 효율적인 방법으로 알려져 있다. 화학적 도핑의 방법으로 질소, 수소, 산소 등 다양한 이종원소를 열처리 또는 플라즈마 처리함으로써 그래핀을 구성하는 탄소원자를 이종원자로 치환하거나 흡착시켜 기능화 처리된 그래핀을 얻는 방법들이 제시되었다. 이중 플라즈마를 이용한 도핑방법은 저온에서 처리가 가능하고, 처리시간, 공정압력, 인가전압 등 플라즈마 변수를 변경하여 도핑정도를 비교적 수월하게 제어할 수 있다는 장점을 가지고 있다. 본 연구에서는 열화학기상증착법으로 합성된 그래핀을 직류 플라즈마로 처리함으로써 효율적인질소도핑 조건을 도출하고자 하였다. 그래핀의 합성은 200 nm 두께의 니켈 박막이 증착된 몰리브덴 호일을 사용하였으며, 원료가스로는 메탄을 사용하였다. 그래핀의 질소 도핑은 평행 평판형 직류 플라즈마 장치를 이용하여 암모니아($NH_3$) 플라즈마로 처리하였으며, 플라즈마 파워와 처리시간을 변수로 최적의 도핑조건 도출 및 도핑 정도를 제어하였다. 그래핀의 질소 도핑 정도는 라만 스펙트럼의 G밴드의 위치와 반치폭(Full width at half maximum; FWHM)의 변화를 통해 확인하였다. NH3 플라즈마 처리 후 G밴드의 위치가 장파장 방향으로 이동하며, 반치폭은 감소하는 것을 통해 그래핀의 질소도핑을 확인하였다.

• Korean Journal of Remote Sensing
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• v.30 no.1
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• pp.149-160
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• 2014

Recently studies on application development and utilization using sensors and devices embedded in smartphones have flourished at home and abroad. This study aimed to analyze the accuracy of the images of smartphone to determine three-dimension position of close objects prior to the development of photogrammetric system applying smartphone and evaluate the feasibility to use. First of all, camera calibration was conducted on autofocus and infinite focus. Regarding camera calibration distortion model with balance system and unbalance system was used for the decision of lens distortion coefficient, the results of calibration on 16 types of projects showed that all cases were in RMS error by less than 1 mm from bundle adjustment. Also in terms of autofocus and infinite focus on S and S2 model, the pattern of distorted curve was almost the same, so it could be judged that change in distortion pattern according to focus mode is very little. The result comparison according to autofocus and infinite focus and the result comparison according to a software used for multi-image processing showed that all cases were in standard deviation less than ${\pm}3$ mm. It is judged that there is little result difference between focus mode and determination of three-dimension position by distortion model. Lastly the checkpoint performance by total station was fixed as most probable value and the checkpoint performance determined by each project was fixed as observed value to calculate statistics on residual of individual methods. The result showed that all projects had relatively large errors in the direction of Y, the direction of object distance compared to the direction of X and Z. Like above, in terms of accuracy for determination of three-dimension position for a close object, the feasibility to use smartphone camera would be enough.