• 디지털산업정보학회논문지
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• 제12권1호
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• pp.63-69
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• 2016

Although the previous information technologies had been used for the quick and accurate processing of work, At present, however, as the combination with the Internet, the IOT(Internet-of-Things) era in which the diverse pieces of information are collected and handled through the sensor networks is in progress. Among these application fields of the IoT, the indoors position identification technology has been developing in the direction of providing the position information in the buildings of which the lengths and the interiors are complicated and in the direction of providing the various pieces of information and others of the like to the nearby customers. In this paper, we proposed an indoors position identification system that detects the patrol positions of the prison officers in the correctional facilities and in the prisons by using the ultrasonic waves, that transmits these to the control system and the data gateway, and that transmits the detected data. The Indoors Positioning identification System is organized with the tags for recognizing the positions that transmit the ultrasonic signal, ultrasonic receiver and data gateway. And the indoors position information data were transmitted to the management system through the data gateway. We evaluated the transmission error, by changing the distance of the proposed system for location recognition tag and the receiver, As a result, we found out that, when the transmission distance was 10 cm or less, the errors occurred in the form of the distortions. And when it was 110 cm or more, the transmission errors occurred due to the propagation diminutions of the ultrasonic wave signals. And when the transmission distance was from 10 cm to 100 cm, it was shown that the proposed system was possible without any errors.

• 디지털융복합연구
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• 제12권11호
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• pp.373-378
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• 2014

방위탐지기술은 위치표정 정확도를 높이기 위해서 매우 중요하다. 도착시간차(TDOA) 방위탐지 방식은 정확도가 매우 높은 기술이며 1990년대부터 고주파신호 방위탐지에 사용되었다. TDOA 방식은 송신기에서 송신된 신호가 거리가 다른 위치에 있는 두 개의 수신기에 도착하는 시간차를 이용하여 송신기의 방위를 측정하는 방식으로서 수신신호의 신호대잡음비(SNR)와 안테나 기준선이 방위탐지 정확도에 매우 큰 영향을 미치며, 본 논문에서는 SNR과 안테나 기준선에 대한 방위각 정확도와 위치표정 정확도를 모사하였다. 기준선의 길이가 50m이고 SNR이 40dB 이상이면, 입사방위각 $0^{\circ}$에서 약 $0.51^{\circ}$의 방위탐지 정확도를 얻었다.

• 디지털융복합연구
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• 제11권10호
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• pp.549-556
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• 2013

본 연구는 만성 뇌졸중으로 인한 편마비 환자를 대상으로 런지자세에서 자가신장과 움직임을 동반한 가동술을 적용후에 하지근육 근활성도와 안정성한계에 미치는 영향을 알아보는데 있다. 대상자 16명을 무작위 추출하여 실험군과 대조군으로 분류하였다. 실험군은 런지자세에서 자가신장을 중재하였고, 대조군은 런지자세에서 움직임을 동반한 가동술을 중재하였다. 중재는 8주 동안 주 5회, 1회 20분의 중재를 시행하였다. 통계학적 처리는 반복 측정분산분석을 이용하여 실시하였다. 결과는 실험군과 대조군의 그룹간 하지근육 근활성도(%MVIC)와 안정성 한계(LOS)는 통계학적 유의성이 없었다(p>.05). 하지만 실험군과 대조군의 그룹 내의 근활성도와 안정성 한계는 통계학적으로 유의하였다(p<.05). 따라서 뇌졸중으로 인한 편마비 환자들에게 런지자세에서 자가신장이 근력 및 균형에 긍정적인 영향을 줄 수 있을 것으로 생각된다.

• 전자공학회논문지B
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• 제30B권1호
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• pp.29-37
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• 1993

The purpose of this paper is to estimate the attitude and the position of SPOT satellite which are needed in producing DEM(Digital Elevation Model) using SPOT satellite image pairs. DEM extraction is consists of three parts. First part is the modeling of satellite position and atitude, second part is the matching of two images to find corresponding point of them and third part is to calculate the elevation of each point by using the result of the first and second part. For modeling inaccessible area, extended modeling algorithm which removes the GCP(Ground Control Point) most errorneous from the GCPs extracted from map iteratively is proposed According to the experiments using a collinearity equation, the second order polynomials are shown to the optimal for .omega.(pitch), and Zs parameters while the first order ones for .kappa.(yaw) .PHI.(roll), Xs, and Ys parameters. The input images used in this paper are 6000*6000 level 1A panchromatic digital SPOT images of Chungchong-do, Korea. With 30 GCPs, experiments on SPOT images show that the planimetric and altimetric RMS errors are 7.11m and 7.10m, respectively, for test points.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.56-62
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• 2004

This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

• 디지털산업정보학회논문지
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• 제6권1호
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• pp.131-142
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• 2010

In this paper, we propose a web GPS based logistics vehicle control management system using MVC design patterns. The proposed system is designed by applying design patterns of object oriented modeling called mini-architecture to enhance reliability of software as well as promote stability of overall system design. In addition, we can get a position information by means of the GPS embedded in PDA and communicate between client and monitoring server using CDMA network so that the position of client can be identified directly by the map service. The system provides an moving object indexing technique which extends the existing TB-tree to manage and retrieve a transporting trajectory of logistics efficiently. Finally, with development of the logistics vehicle control service called WG-LOGICS system, we can verify the usefulness of our system which is able for monitoring a vehicle preparation, allocating registration, loading a burden, transfer path, and destination arrival in real world.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2000년도 전력전자학술대회 논문집
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• pp.620-623
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• 2000

A very simple control approach using neural network for the robust position control of a Permanent Magnet Synchronous Motor(PMSM) is presented The linear quadratic controller plus feedforward neural network is employed to obtain the robust PMSM system approximately linearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network is composed by a fedforward recall and error back-propagation training. Since the total number of nodes are only eight this system can be easily realized by the general microprocessor. During the normal operation the input-output response is sampled and the weighting value is trained multi-times by error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. And the state space analysis is performed to obtain the state feedback gains systematically. IN addition the robustness is also obtained without affecting overall system response. This method is realized by a floating-point Digital Singal Processor DS1102 Board (TMS320C31) The basic DSP software is used to write C program which is compiled by using ANSI-C style function prototypes.

• 디지털산업정보학회논문지
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• 제8권4호
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• pp.159-165
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• 2012

The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.342-348
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• 1998

The purpose of this paper is to extract fast DEM (Digital Elevation Model) using satellite images. DEM extraction consists of three parts. First part is the modeling of satellite position and attitude, second part is the matching of two images to find corresponding poults of them and third part is to calculate the elevation of each point by using the result of the first and second part. The position and attitude modeling of satellite is processed by using GCPs. A area based matching method is used to find corresponding points between the stereo satellite images. In the DEM generation system, this procedure holds most of a processing time, therefore a new fast matching algorithm is proposed to reduce the time for matching. The elevation of each point is calculated using the exterior orientation obtained from modeling and disparity from matching. In this paper, the SPOT satellite images, level IA 6000 $\times$6000 panchromatic images are used to extract DEM. The experiment result shows the possibility of fast DEM. extraction with the satellite images.

• 한국전자파학회논문지
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• 제13권6호
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• pp.560-565
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• 2002

본 논문에서는 무선광연결에서 사용하는 광검출기의 위치가 신호광의 중심으로부터 이탈되어 발생할 수 있는 검출전압의 변동을 디지털가변저항을 이용하여 안정화한다. 검출전압의 안정화가 가능한 최대이탈거리를 계산하고, 검출전압의 안정화 동작을 실험적으로 확인하였다 이 안정화 방법은 신호광 출력이나 빔 진행방향의 미소한 변화 또는 광검출기의 위치변동으로 인한 검출전압의 불안정을 해소하는 데에 매우 유용하게 이용할 수 있다.