• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.308-311
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• 2008

One of the key technical elements of wireless sensor network (WSN) is location management of sensor nodes. Typical node location management methods use GPS, ultrasonic sensors or RSSI. In this paper we propose a new location management method which adopts regression analysis of RSSI measurement to improve the accuracy of sensor node position estimation. We also evaluated the performance of proposed method by comparing the experimental results with existing scheme. According to the results, our proposed method showed better accuracy than existing location management scheme using RSSI and Firis' equation.

• Journal of KIISE:Information Networking
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• v.32 no.5
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• pp.574-582
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• 2005

Localization in wireless sensor networks is essential to important network functions such as event detection, geographic routing, and information tracking. Localization is to determine the locations of nodes when node connectivities are given. In this paper, centroid approach known as a distributed algorithm is extended to a centralized algorithm. The centralized algorithm has the advantage of simplicity. but does not have the disadvantage that each unknown node should be in transmission ranges of three fixed nodes at least. The algorithm shows that localization can be formulated to a linear system of equations. We mathematically show that the linear system have a unique solution. The unique solution indicates the locations of unknown nodes are capable of being uniquely determined.

• Spatial Information Research
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• v.7 no.1
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• pp.119-131
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• 1999

Various digital topographic maps including 1:1,000 and 1:5,000 have been produced for years and these digital maps are expected to serve a wide range of purposes. Most previous research about measuring positional accuracy for digital topographic maps depends int a method that acquires sample points from the tested map and compares to the corresponding known true locations using some statistics. Recently, a simple method for measuring positional accuracy for linear features is introduced but it has substantial problems applying to the spatial features such as roads, railroads, streams represented with double lines on the recently produced 1:1,000 and 1:5,000 digital topographic maps. This study develops and implements an effective method that measures road objects represented in the 1:5,000 digital topographic maps using a conventional GIS software. We also apply this method to a small study area located in Kangnam Gu, Seoul and illustrate the usefulness of this method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.4
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• pp.765-772
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• 2011

In this paper, a simulation-based method is presented to dispose direction finders in three dimensional space for locating targets using the directional data. A direction finder(DF) is a military weapon that is used to find locations of targets that emit radio frequencies by operating two or more DFs simultaneously. If one or more DFs are operated in the air, the accuracy of location estimation can be enhanced by disposing them in a better configuration. By extending the line method, which is a well-known algorithm for 2-D location estimation, into 3-D space, the problem of 3-D location estimation is defined as an nonlinear programming form and solved analytically. Then the optimal disposition of DFs is considered with the presented method in which methods of simulation and search technique are combined. With the suggested algorithm for 3-D disposition of DFs, regions in which targets exist can be effectively covered so that the operation effect of DF be increased.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.23-24
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• 2014

본 논문에서는 최근 모바일 기기에서 많이 사용되고 있는 마름모 패턴의 터치스크린패널(TSP; Touch Screen Pannel)에서 정확한 터치 위치를 획득하는 방법을 제안한다. 가로와 세로로 배치된 ITO 투명전극필름은 사용자의 터치로 인하여 변화된 정전용량(mutual capacitance)을 측정하여 터치위치를 파악한다. 그러나 터치패턴의 모양과 손가락의 크기에 따라서 측정되는 상호정전용량의 값에 차이가 발생하며 이 차이는 터치위치 계산에 영향을 미쳐서 정확한 터치위치를 획득하기 어렵게 한다. 이러한 결과로 TSP 상에서 직선을 그어도 측정된 터치 값은 S자 형태로 나타난다. 본 논문에서는 이러한 문제를 완화하기 위하여 Matlab 상에서 터치상황을 시뮬레이션하고 이를 이용하여 터치위치를 보상하여 보다 더 정확한 터치위치를 구하는 방법을 제안한다.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.433-435
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• 2005

광변환 물질을 사용하여 X-선이나 감마방사선을 가시광으로 변환한 다음 CCD 카메라를 통하여 광량을 측정하면 방사선의 양을 간접적으로 측정할 수 있다. 본 연구에서는 CCD형 비상대용 로봇용 고속 삼차원 방사선 위치 탐지장치에서 방사선 위치 센싱의 핵심 역할을 수행하는 CCD 방사선 탐지부를 간접 방사선 측정 방법을 응용하여 고안하고 구현한 다음 이에 대한 방사선 특성시험을 수행하였다. 시험 결과로 부터 구현한 CCD형 방사선 센서가 방사선 위치 및 선량 탐지장치로 활용 가능성이 충분함 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.386-389
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• 2011

현재 실내 위치 인식 계산 알고리즘과 거리 측정 방법은 놀라울 정도로 다양하다. 그 중 거리를 측정하는 방법으로 마커를 이용한 방법과 RF(Radio Frequency)를 이용한 방법 등 여러 가지 방법들이 제안되었는데 본 논문에서는 사람이 이용하기 쉬운 RF를 이용한 위치 인식 성능 개선에 대해 다루고자 한다. RF 신호가 도달하는 시간을 이용하여 거리를 측정하는 TOA(Time of arrival) 방식을 사용하여 기준점과의 거리를 측정하고, 측정된 거리 값에 가중치를 이용해 장애물에 의한 오차를 보정하였다. 측정된 거리 값을 일정 개수를 모아 최빈값을 이용하여 정확도를 향상 시켰고 이를 통해 실내 좌표를 계산 하였다. 그리고 계산된 좌표 값에 칼만 필터를 적용하여 움직임을 보정하였다. 본 논문에서는 RF를 이용한 위치 인식 알고리즘을 제안하고 보정 전 데이터와 보정 후 데이터를 비교해 비컨 신호의 정확도를 확인하였다.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.24 no.2
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• pp.317-326
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• 1994

Panoramic radiographs of a dry skull were used to evaluate the accuracy of four panoramic dental X-ray systems in determining tooth angulations in the buccal segments. The four machines evaluated were the Philips Oralix Pan DC, the GE panelipse, the SS White panorex 1, and the SS White Panorex 2. Panoramic radiographs were taken at six different patient positions for each machine to evaluate the effects of patient positioning on determining tooth angulations in the buccal segments. All of the machines studied showed a significant correlation between the mean radiographic estimates and the actual measurements regardless of positioning(p<0.05). With correct placement of the skull, the results were analyzed for an error tolerance of +/-3/sup 0/ between the actual measurements and the radiographic estimates for tooth angulation. The SS White Panorex 1 was accurate 74% of the time, the GE Panelipse was accurate 67% of the time, the Philips Oralix Pan DC and the SS White Panorex 2 were accurate 64% of the time. When an error tolerance of +/-5/sup 0/ was permitted, the accuracy was 89% for the SS White Panorex 1 and the GE Panelipse, 85% for the Philips Oralix Pan DC, and 81% for the SS White Panorex 2.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.667-672
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• 2011

This paper presents to study the sensor fusion of positioning sensors using UKF(unscented Kalman filter) for positioning accuracy improvement of AGV(automatic guided vehicle). The major guidance systems for AGV are wired guidance and magnetic guidance system. Because they have high accuracy and fast response time, they are used in most of the FMS(flexible manufacturing system). However, they had weaknesses that are high maintenance cost and difficult of existing path modification. they are being changed to the laser navigation in recent years because of those problems. The laser navigation is global positioning sensor using reflecters on the wall, and it have high accuracy and easy to modify the path. However, its response time is slow and it is influenced easily by disturbance. In this paper, we propose the sensor fusion method of the laser navigation and local sensors using UKF. The proposed method is improvement method of accuracy through error analysis of sensors. For experiments, we used the axle-driven forklift AGV and compared the positioning results of the proposed method with positioning results of the laser navigation. In experimental result, we verified that the proposed method can improve positioning accuracy about 16%.

• Journal of IKEEE
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• v.25 no.2
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• pp.243-251
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• 2021

In this paper, we propose a measurement technique of indoor location based on markerless applicable to AR. The proposed technique has the following originality. The first is to extract feature points and use them to generate local patches to enable faster computation by learning and using only local patches that are more useful than the surroundings without learning the entire image. Second, learning is performed through deep learning using the convolution neural network structure to improve accuracy by reducing the error rate. Third, unlike the existing feature point matching technique, it enables indoor location measurement including left and right movement. Fourth, since the indoor location is newly measured every frame, errors occurring in the front side during movement are prevented from accumulating. Therefore, it has the advantage that the error between the final arrival point and the predicted indoor location does not increase even if the moving distance increases. As a result of the experiment conducted to evaluate the time required and accuracy of the measurement technique of indoor location based on markerless applicable to AR proposed in this paper, the difference between the actual indoor location and the measured indoor location is an average of 12.8cm and a maximum of 21.2cm. As measured, the indoor location measurement accuracy was better than that of the existing IEEE paper. In addition, it was determined that it was possible to measure the user's indoor location in real time by displaying the measured result at 20 frames per second.