• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1181-1186
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• 2002

This system is controlled by PC application programs through USB interface. PC application programs make image files, user's files , sound files and option files. And these files are downloaded to external memory card of this system. The other PC application programs monitor status of DARC, GPS, LED module of this system. The PC application programs help user manage this system efficiently.

• Annual Conference of KIPS
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• 2006.11a
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• pp.43-46
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• 2006

본 논문에서는 호프변환을 이용한 실시간 수신호 인식시스템에서 대상영역 분할의 오차와 추출된 특징의 위치 변화등의 영향을 개선하는 방법론을 제안한다. 원형호프변환을 기반으로 생성한 특징정보로부터 CNN(Convolution Neural Network) 모델의 계층적 구조를 통하여 단계적으로 일련의 특징지도가 추출된다. CNN 모델에서 샘플링 계층의 연결구조는 특징의 위치 변화에 강인한 추출기능을 지원하며, 상위계층에서 보다 함축적인 특징지도를 생성하게 된다. 원형 호프 변환은 손의 형태학적 주요 포인트를 효과적으로 추출할 수 있게 하고 또한 입력 영상의 회전으로 인한 제약을 극복할 수 있게 한다. 본 연구에서는 제안된 이론을 TV 원격 제어를 위한 수신호 인터페이스 시스템을 대상으로 적용함으로써 그 유용성을 고찰한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.7A
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• pp.702-708
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• 2006

본 논문에는 초광대역 통신시스템을 위한 주파수 영역의 통계학적 채널 모델을 서술하고 있다. 채널 모렐링은 3개의 사무실 환경, 46개의 송, 수신 위치에서 얻어진 23,000개의 채널응답함수로 부터 얻어졌다. 측정실험을 통해 얻어진 데이터를 바탕으로 주파수 변화에 따른 경로감쇄지수 변화에 대해 서술한 후 전파환경과 가시경로의 존재여부에 따른 수신신호의 확률분포모델을 연구하였다. 마지막으로는 수신된 주파수 톤에 해당하는 수신파워의 표준편차와 같은 통계적 특성들을 고찰하였는데, 가시경로가 존재하는 경우에는 송, 수신기 사이의 거리가 멀어지면서 표준편차 값이 커지고 그에 따라 수신 주파수 톤의 파워가 평균 수신파워에서 일정한 범위 안에 들어올 확률이 떨어지는 것을 알 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.12
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• pp.1021-1029
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• 2013

In this paper, we propose a new indoor location estimation method which combines the fingerprint technique with the propagation prediction model. The wireless LAN (WLAN) access points (APs) deployed indoors are divided into public APs and private APs. While the fingerprint method can be easily used to public APs usually installed in fixed location, it is difficult to apply the fingerprint scheme to private APs whose location can be freely changed. In the proposed approach, the accuracy of user location estimation is improved by simultaneously utilizing public and private APs. Specifically, the fingerprint method is used to the received signals from public APs and the propagation prediction model is employed to the signals from private APs. The performance of the proposed method is compared with that of conventional indoor location estimation schemes through measurements and numerical simulations in WLAN environments.

• Journal of Advanced Navigation Technology
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• v.24 no.2
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• pp.128-133
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• 2020

In this study, an 1-dimensional positioning method using iterative linear regression for path loss expression is proposed. In the proposed method, received signal strengths (RSS) measured in several locations and distances between the measuring locat ions obtained by dead reckoning are used to derive a linear regression for the path loss from the transmitting beacon. In the proposed method, for the distance between the transmitting beacon and a target measuring location, several tentative values are assumed. For each tentative value, a linear regression is obtained. Among the linear regression expressions, the one closest to the known reference RSS value is selected and used to derive the distance to the target location. Test results show that the proposed method is more accurate than path loss model.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.39 no.8
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• pp.750-757
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• 2011

Wireless Sensor Network is composed of a lot of sensor nodes that are densely deployed in a field. So generally this sensor nodes are spreaded using Helicopter or Fixed wing. Each node delivers own location and acquired information to user when it detects specific events. In this paper, we propose localization algorithm without range information in wireless sensor network using helicopter. Helicopter broadcasts periodically beacon signal for sensor nodes. Sensor nodes stored own memory this beacon signal until to find another beacon point(satisfied special condition). This paper develops a localization mechanism using the geometry conjecture(perpendicular bisector of a chord) to know own location. And the simulation results demonstrate that our localization scheme outperforms Centroid, APIT in terms of a higher location accuracy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11C
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• pp.957-964
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• 2010

In this paper, we propose an indoor positioning algorithm based on 3 points near field angle-of-arrival estimation without side information. The conventional angle-of-arrival based positioning scheme requires the distance between the listener and the center of two points which is obtained by a received signal strength based range estimation. However, a received signal strength is affected by structure of room, placement of furniture, and characteristic of signal, these effects cause a large error to estimation of angle. In this paper, the proposed positioning scheme based on near field angle-of-arrival estimation can be used to estimate the position of listener without a prior distance information, just using time-difference-of-arrival information given from 3 points microphones. The performance of the proposed scheme is shown by cumulative distribution function of root mean squared error.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.135-142
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• 2019

In this paper, we propose a system that can identify the position of naval ship personnel at a glance by utilizing the Bluetooth-based beacons. The system proposed in this paper, installs a beacon receiver which are short-range wireless communication devices for each cabin, and in the installed beacon receiver receives information from beacons held by personnel. The received information is transmitted to the processing server, and the processing server transmits the integrated information of the cabin to the display module. Display module displays personnel information located in each cabin. As a result of simulations using the designed system, it was confirmed that the integrated information is transferred to the display module and displayed. Unlike existing situations where personnel positions are reported orally within the ship, the system can quickly and in real time determine the position of personnel, allowing for the management of personnel in non-combat situations and the rapid battle disposition in combat situations. This is expected to contribute greatly to the improvement of fighting power.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.435-436
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• 2012

실내에서는 GPS 신호를 수신할 수 없으므로 자신의 위치를 알 수 없다. 최근에 이러한 문제점을 해결하기 위하여 와이파이 엑세스 포인트(AP)를 이용한 실내 위치 정보 수집 방법들이 제안되고 있다. 본 논문에서는 AP를 이용한 이동체의 이동경로를 저장하는 시공간 데이터 모델 방법을 제안한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.10
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• pp.889-900
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• 2012

In wireless sensor networks, the positioning scheme using received signal strength (RSS) has been widely considered. Appropriate estimation of path-loss exponent (PLE) between a sensor node and an anchor node plays a key role in reducing position error in this RSS-based positioning scheme. In the conventional researches, a sensor node directly uses the PLEs measured by its nearest anchor node to calculate its position. However, the actual PLE between a sensor node and the anchor node can be different from the PLE measured by its nearest anchor node. Thus, if a sensor node directly uses the PLEs measured by its nearest anchor node, the estimated position is different from the actual position of the sensor node with a high probability. In this paper, we describe the method how a sensor node estimates PLEs from the anchor nodes of interest by itself and calculates its position based on these self-estimated PLEs. Especially, our proposal suggests the mechanism to iteratively calculate the PLEs depending on the estimated distances between a sensor node and anchor nodes. Based on the recalculated PLEs, the sensor node reproduces its position. Through simulations, we show that our proposed positioning scheme outperforms the traditional scheme in terms of position error.