• Journal of the Korea Institute of Information and Communication Engineering
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• 제14권9호
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• pp.2120-2126
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• 2010

This paper aims to realize the location tracking system using the Zigbee in the wireless sensor network. The wireless sensor network offers the user-oriented location tracking service in the ubiquitous environment. The location tracking service can track the location of an object or a person and provides it. The location tracking system realized in this paper can be used inside or outside without any black-out areas to measure the location of the moving nodes. In tracking inside the RSSI signals use and in tracking outside will connect with the GPS signals to track the location. Also, by using Zigbee, the wireless sensor network environment was established and by obtaining the location of the moving nodes, the real-time tracking is possible.

• Journal of the Korea Convergence Society
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• 제10권12호
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• pp.251-255
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• 2019

The QR codes are printed in sticker form and have many advantages in terms of location recognition accuracy or installation cost compared to the location recognition method, which attaches artificial indicators to ceilings or walls for low-cost location recognition, and the way in which the location is recognized by vision, to create robots that are generally applicable to all industries. In this study, it is shown that the two-dimensional square bar code applied to the robot within 3 mm of error allows the robot to be made with high accuracy and accurate location control. In particular, the fusion research, combined with various engineering technologies, describes QR code-aware indoor mobile robot control research centered on the construction of the system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• 제7권2호
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• pp.13-25
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• 2008

In this paper, we propose the Location Awareness System adjusting Ranging Technology for CSS(Chirp Spread Spectrum) which is adopted on 2.45GHz standard in IEEE 802.15.4a and TOA(Time-of-Arrival) algorithm. The conventional methods have adopted RSSI, ultrasonic waves and infrared rays in Zigbee. RSSI measures strength indication of received signal and recognizes the position of nodes in RF boundary. However, this technology has the following problems; lots of error by the change of the channel environment and much power consumption. In this paper, adopting chirp pulse on 2.45GHz standard in IEEE 802.15.4a and SDS-TWR(Symmetrical Double Side-Two Way Ranging) method using the characteristic of Spread Spectrum, a new Location Awareness System is suggested. The distance and the coordinate are measured within ${\pm}\;5cm$ by TOA(Time of Arrival) algorithm and proposed algorithm and the data in error rate is decreased less than 1%. Through these results, the algorithm suggested in this paper is verified for its performance in a computer simulation.

• Journal of the Institute of Electronics Engineers of Korea TC
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• 제47권7호
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• pp.18-22
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• 2010

In this paper, we propose and analyze the two way ranging (TWR) positioning technique using ultra wideband (UWB) for indoor environment. We employed IEEE 802.15.3a channel as a simulation environment and used to time of arrival (TOA) algorithm. UWB technology in a low transmission power the less the effect of interfering with the existing system, the frequency can be shared so that it can improve the spectral efficiency. And, positioning technique based on UWB with a very narrow pulse width has high accuracy in indoor environment. From the simulation results, it is analyzed the probability of error and positioning performance for channel effects and confirmed usefulness of the proposed scheme.

• KIISE Transactions on Computing Practices
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• 제22권6호
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• pp.268-277
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• 2016

IoT (Internet of Things) technologies have largely contributed to our smart living environment. The smart parking system is one of the prominent services that IoT supports. To identify the parked vehicles, the previous parking system use special identifying devices, the RFID tags carried by the users, and the high quality camera to recognize the vehicle license numbers. However, the previous methods cause cost inefficiency and unfriendly usages. To address these problems, we propose a smart parking system based on ultrasonic sensors and Bluetooth communication. The proposed system decides the available slots by using the sensor motes located in the parking spaces. Also it recognizes the location of the parked vehicle using Bluetooth RSSI between a Smartphone and the sensor motes. In addition, based on these converging technologies, it can support the parked routes of vehicles for users. To evaluate the implemented smart parking system, we applied the RSSI transform equations and the recognition rate for parked vehicles. As a result, the accurate rate of transformed distances could be measured.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.59-62
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• 2009

증강현실 기술은 실제 환경에 가상의 물체를 덧씌우는 기술을 말하며, 이는 지리정보의 가시화 같은 작업에 매우 큰 잠재력을 갖고 있다. 하지만 지금까지 연구된 이동형 증강현실 시스템은 사용자의 위치를 파악하기 위해 GPS를 사용하거나 마커를 현장에 붙이는 방식을 사용하였다. 최근 연구들은 마커를 사용하지 않는 방법을 지향하고 있으나 많은 제약을 갖고 있다. 특히 실내의 경우는 GPS정보를 사용할 수 없기 때문에 실내 위치파악을 위해서는 새로운 기술이 필요하다. 최근 무선(RF)기반의 실내 위치 추정 연구가 활발히 수행되고 있지만, 이 또한 다량의 센서와 인식기를 설치해야한다는 제약이 존재한다. 본 연구에서는 한 대의 카메라를 사용하는 SLAM 알고리듬을 이용한 위치 추정기법을 제시하였으며, 추정된 위치를 이용하여 증강현실을 통한 정보 가시화 프로그램을 개발하였다. 이는 실내외 seamless 연동형 u_GIS 시스템의 밑바탕이 될 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2016년도 추계학술발표대회
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• pp.390-392
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• 2016

최근 위치 기반 서비스의 활용이 높아졌으며 특히 Wifi를 사용한 위치 측위 기술의 발달로 실내위치 인식 서비스가 증가했다. 따라서 본 논문에서는 실내 공간 활용 증대를 위하여 실내 공간에서의 위치 측정 데이터를 수집해 분석하는 시스템을 제안하였다. 위치 측정을 위해 Wifi기반 Fingerprinting 기술을 통해 라디오 맵을 구축하였으며 이를 통해 실제 교내 도서관의 위치 데이터를 수집하였다. 데이터 분석은 도서관 이용 빈도가 높은 시간과 장소를 기준으로 이루어졌으며 시간과 장소간의 상관관계를 확인하였다.

• Proceedings of the Korea Contents Association Conference
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• 한국콘텐츠학회 2010년도 춘계 종합학술대회 논문집
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• pp.387-389
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• 2010

유비쿼터스 컴퓨팅 환경에서 다양한 위치 기반 서비스(LBS)를 위해 객체 위치 인식은 필수적인 기술이다. 객체의 위치를 판별하기 위해서 GPS 시스템, 다수의 RF 신호 세기를 이용한 시스템이 이용되고 있다. GPS 시스템의 경우 고가의 수신기가 필요하며 실내 측위 환경에서 활용될 수 없으며, RF 신호를 이용한 위치 인식 시스템의 경우 빠른 신호 속도와 페이딩의 영향으로 충분한 신호의 해상도확보하기 어렵다. 하지만 상대적으로 느린 초음파를 이용한 경우 신호의 해상도가 높아 RF 기반 위치 측위 시스템보다 높은 정확도의 위치 인식이 가능하다. 초음파를 이용한 위치 인식 기술은 RF 통신을 통해 해당 초음파의 정보를 식별하고, 초음파와 RF 신호의 도달 시간의 차를 이용해 위치를 판별한다. 본 논문에서는 초음파 신호 부호화 기법을 통해 RF 통신 모듈 없이 다중 객체의 위치를 인식하는 시스템을 설계하고 구현한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2015년도 추계학술대회
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• pp.270-271
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• 2015

Recently, There is Increasing interest in the intelligent services using the Internet of Things indoor positioning technologies that enable the communication of information between the objects. In particular Applications and demand for the indoor location based services using smart devices has made active. An indoor location positioning technology for this purpose BLE (Bluetooth Low Energy) has been a lot of interest in technology increases. If iBeacon of BLE(Bluetooth Low Energy) is made available to provide a signal for the indoor location information measurement then reliability of Indoor location information is lowered by signal interference. In this paper, Proposes a technique for data acquisition method for obtaining reliable position information and reliable position information calculation method from signal information data of iBeacon.

• Journal of the Institute of Electronics Engineers of Korea CI
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• 제45권5호
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• pp.38-47
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• 2008

The most commonly used location recognition system is the GPS-based approach. However, the GPS is inefficient for an indoor or urban area where high buildings shield the satellite signals. To overcome this problem, this paper propose the indoor positioning method using wavelet and neural network. The basic idea of proposed method is estimated the location using the received signal strength from wireless APs installed in the indoor environment. Because of the received signal strength of wireless radio signal is fluctuated by the environment factors, a feature that is strength of signal noise and error and express the time and frequency domain is need. Therefore, this paper is used the wavelet coefficient as the feature. And the neural network is used for estimate the location. The experiment results indicate 94.6% an location recognition rate.