• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.141-146
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• 2018

Recently, location recognition technology has attracted much attention, especially for locating people or objects in an indoor environment without being influenced by the surrounding environment GPS technology is widely used as a method of recognizing the position of an object or a person. GPS is a very efficient, but it does not allow the positions of objects or people indoors to be determined. RFID is a technology that identifies the location information of a tagged object or person using radio frequency information. In this study, an RFID system is constructed and the position is measured using tags. At this time, an error occurs between the actual and measured positions. To overcome this problem, a neural network is trained using the measured and actual position data to reduce the error. In this case, since the number of read tags is not constant, they are not suitable as input values for training the neural network, so the neural network is trained by converting them into center-of-gravity inputs and median value inputs. This allows the position error to be reduce by the neural network. In addition, different numbers of trained data are used, viz. 50, 100, 200 and 300, and the correlation between the number of data input values and the error is checked. When the training is performed using the neural network, the errors of the center-of-gravity input and median value input are compared. It was found that the greater the number of trained data, the lower the error, and that the error is lower when the median value input is used than when the center-of-gravity input is used.

• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.893-906
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• 2020

This paper reports on the analysis of the location accuracy of a precision image generation system manufactured for CAS 500. The planned launch date of the CAS 500 is 2021, and since it has not yet been launched, the analysis was performed using KOMPSAT-3A satellite images having similar specifications to the CAS 500. In this paper, we have checked the geolocation accuracy of initial sensor model, the model point geolocation accuracy of the precise sensor model, the geolocation accuracy of the precise sensor model using the check point, and the geolocation accuracy of the precise orthoimage using 30 images of the Korean Peninsula. In this study, the target geolocation accuracy is to have an RMSE within 2 pixels when an accurate ground control point is secured. As a result, it was confirmed that the geolocation accuracy of the precision sensor model using the checkpoint was about 1.85 pixels in South Korea and about 2.04 pixels in North Korea, and the geolocation accuracy of the precise orthoimage was about 1.15 m in South Korea and about 3.23 m in North Korea. Overall, it was confirmed that the accuracy of North Korea was low compared to that of South Korea, and this was confirmed to have affected the measured accuracy because the GCP (Ground Control Point) quality of the North Korea images was poor compared to that of South Korea. In addition, it was confirmed that the accuracy of the precision orthoimage was slightly lower than that of precision sensor medel, especially in North Korea. It was judged that this occurred from the error of the DTM (Digital Terrain Model) used for orthogonal correction. In addition to the causes suggested by this paper, additional studies should be conducted on factors that may affect the position accuracy.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.425-426
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• 2020

본 논문에서는 영구자석형 동기전동기의 벡터제어를 수행하는데 필요한 회전자의 위치, 특히 기동시의 초기 회전자 위치를 정확하게 검출하기 위하여 자기식 위치 센서를 사용하는 방법을 제안하고, 기존의 광학식 인크리멘탈 로터리 엔코더를 사용하는 경우에 비하여 검출 성능이 우수함을 확인하였다.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.117-128
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• 2010

There are many researches related to a simulated shooting training system for replacing the real military and police shooting training. In this paper, we propose the point of impact from a simulated shooting target based on image processing instead of using a sensor based approach. The point of impact is extracted by analyzing the image extracted from the camera on the muzzle of a gun. The final shooting result is calculated by mapping the target and the coordinates of the point of impact. The recognition system is divided into recognizing the projection zone, extracting the point of impact on the projection zone, and calculating the shooting result from the point of impact. We find the vertices of the projection zone after converting the captured image to the binary image and extract the point of impact in it. We present the extracting process step by step and provide experiments to validate the results. The experiments show that exact vertices of the projection area and the point of impact are found and a conversion result for the final result is shown on the interface.

• Smart Media Journal
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• v.11 no.9
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• pp.64-74
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• 2022

A number of studies related to underwater robots are being conducted to utilize marine resources. However, unlike ordinary drones, underwater robots have a problem that it is not easy to locate because the medium is water, not air. The monitoring and positioning program of underwater robots, an existing study for identifying underwater locations, has difficulty in locating and monitoring in small spaces because it aims to be utilized in large spaces. Therefore, in this paper, we propose a three-dimensional positioning program for continuous monitoring and command delivery in small spaces. The proposed program consists of a multi-dimensional positioning monitoring function and a ability to control the path of travel through a three-dimensional screen so that the depth of the underwater robot can be identified. Through the performance evaluation, a robot underwater could be monitored and verified from various angles with a 3D screen, and an error within the assumed range was verified as the difference between the set path and the actual position is within 6.44 m on average.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1994.06a
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• pp.13-16
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• 1994

• The Journal of Korean Society for Radiation Therapy
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• v.9 no.1
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• pp.82-86
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• 1997

• Proceedings of the KSLP Conference
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• 2002.06a
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• pp.203-203
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• 2002

• Journal of Korea Foundry Society
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• v.24 no.4
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• pp.238-248
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• 2004

고압 다이캐스팅에서 요구되고 있는 고품질의 주조를 위해, 비교적 간단한 개선 방안으로 용탕 주입 방법의 개선이 실험적으로 시도 되었으며, 그로 인해 많은 경우에 긍정적인 결과가 관찰 되었다. 특히, 냉가압 다이캐스트에서, 금형내 용탕의 예충전을 유도하는 용탕 주입의 속도 및 플렌저의 위치제어를 통해 기공율의 저하 및 그로 인한 기계적 강도의 개선 효과를 확인 할 수 있었다. 본 논문은, 그 원인과 결과 대한 연구를 위해, 상용 해석 도구인 Flow3D를 이용, 금형내 용탕의 흐름을 모델링을 통해 가시화하여 용탕의 주입속도 및 위치의 변화가 주물의 품질에 미치는 영향을 조사하였다. 용탕 주입을 위한 플런저의 속도 및 위치 제어의 변수로, 1) 금형내에 용탕의 예충전 유도를 위한 용탕 고속 주입 지연 정도, 2) 플런저의 저속운행에서 고속으로의 가속도, 3) 용탕의 예충전 동안의 플런저 속도를 선택, 그로 인한 영향을 연구 분석 하였고, 그 결과로 플런저의 속도 및 위치 조절을 통하여 금형내 갇힌 공기의 양이 줄어 들 수 있음을 알 수 있었다.

• 한국ITS학회:학술대회논문집
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• 2010.05a
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• pp.184-187
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• 2010

RFID 기술은 각 사물에 전자태그를 부착하고, 사물의 고유 ID를 무선으로 인식하여, 해당 정보를 수집, 저장, 추적함으로써 사물에 대한 측위, 원거리 관리 및 사물 간 정보교환 등의 서비스를 제공하는 기술이다. RFID의 응용 분야의 하나로 전자태그가 부착되어 있는 대상의 위치를 실시간으로 파악하고 확인할 수 있는 RTLS(Real Time Locating Systems) 기술이 새로이 부각되고 있다. 본 논문에서는 AP의 RSSI(Received Signal Strength Indication)를 이용해 데이터의 정확도를 위해 약 30회의 위치 추정을 통한 위치 추정의 정확도를 알아보고 스무딩을 통한 측정 거리의 오차를 확인했다. AP의 RSSI를 통한 위치추정은 AP가 설치된 건물내의 실내환경에서 이루어졌으며, 비교적 정확한 약 3m의 오차를 보였고, 필터링을 통한 교통 추정값은 그보다 약 0.5~1m 향상된 성능을 보였다.