• 전자공학회논문지
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• 제50권9호
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• pp.144-155
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• 2013

본 논문에서는 안드로이드 앱과 TI 320F28335 MCU를 활용한 마이크로그리드용 저가형 원격 전원품질이상 감시 시스템(Remote Power-quality-failure Monitoring System : RPMS)을 제안한다. 설계한 RPMS 테스트 베드는 스마트 노드와 서버 그리고 안드로이드 앱으로 구성된다. 특별히 RPMS 스마트 노드는 기존 감시 시스템과는 달리 C2000 계열 MCU를 이용한 저가형으로 설계되며 전력신호처리를 위한 신호처리 기능과 함께 전원품질 모니터링 정보 전송을 위한 데이터 전송 기능을 포함한다. 전력신호처리 기능은 순시전압강하, 순시전압상승 혹은 순시정전에 대한 웨이브렛 기반 검출 알고리즘과 고조파에 대한 FFT 기반 검출 알고리즘을 구현하며, 이를 이용 신뢰성 있는 실시간 전원품질 감시를 가능하게 한다. 데이터 전송 기능은 전원품질 원격 감시를 위한 저 복잡도의 전용 전송 프로토콜 알고리즘을 구현하며, 품질이상 검출 메시지 전송을 위한 간단한 데이터 포맷 (msg_Diag)을 정의 사용한다. 스마트 노드 측정 결과는 서버는 물론 WiFi (혹은 WAN) 망에 연동되는 안드로이드 폰으로 전송되어 실시간 원격 모니터링을 가능하게 한다. RPMS 테스트 베드의 서버와 노드 간 통신에는 RS-232 혹은 블루투스의 유 무선통신을 이용하며, 노드에 구현된 전원품질이상 검출 알고리즘은 CCS (Code Composer Studio) 3.3 환경하에 C 언어로 구현한다.

• IEIE Transactions on Smart Processing and Computing
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• 제4권3호
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• pp.173-182
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• 2015

A real-time, Indoor navigation systems utilize ultra-wide band (UWB), radio-frequency identification (RFID) and received signal strength (RSS) techniques that encompass WiFi, FM, mobile communications, and other similar technologies. These systems typically require surplus infrastructure for their implementation, which results in significantly increased costs and complexity. Therefore, as a solution to reduce the level of cost and complexity, an inertial measurement unit (IMU) and quick response (QR) codes are utilized in this paper to facilitate navigation with the assistance of a smartphone. The QR code helps to compensate for errors caused by the pedestrian dead reckoning (PDR) algorithm, thereby providing more accurate localization. The proposed algorithm having IMU in conjunction with QR code shows an accuracy of 0.64 m which is higher than existing indoor navigation techniques.

• 경영과학
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• 제29권2호
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• pp.79-90
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• 2012

Focusing on the rapid market penetration of smart phones, the importance of LBS (Location Based Service) is drastically increased. However, traditional GPS method has critical weakness caused by limited availability, such as indoor environment. WPS is newly attractive method as a widely applicable positioning method. In WPS, RSSI (Received Signal Strength Indication) data of all Wi-Fi APs (Access Point) are measured and stored into a huge database. The stored RSSI data in database make single radio fingerprint map. By the radio fingerprint map, we can estimate the actual position of target point. The essential factor of radio fingerprint database is data integrity of RSSI. Because of millions of APs in urban area, RSSI measurement data are seriously contaminated. Therefore, we present the unified filtering method for RSSI measurement data. As the results of filtering, we can show the effectiveness of suggested method in practical positioning system of mobile operator.

• Journal of information and communication convergence engineering
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• 제18권3호
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• pp.183-187
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• 2020

The general Wi-Fi network connection structure is that a number of IoT (Internet of Things) sensor nodes are directly connected to one AP (Access Point) node. In this structure, the range of the network that can be established within the specified specifications such as the range of signal strength (RSSI) to which the AP node can connect and the maximum connection capacity is limited. To overcome these limitations, multiple middleware bridge technologies for dynamic scalability and load balancing were studied. However, these network expansion technologies have difficulties in terms of the rules and conditions of AP nodes installed during the initial network deployment phase In this paper, an intelligent edge computing IoT device is developed for constructing an intelligent autonomous cluster edge computing network and applying it to real-time road danger context aware and notification system through an intelligent risk situation recognition algorithm.

• ETRI Journal
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• 제41권6호
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• pp.782-796
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• 2019

This paper presents a hierarchical framework for managing the sampling distribution of a particle filter (PF) that estimates the global positions of mobile robots in a large-scale area. The key concept is to gradually improve the accuracy of the global localization by fusing sensor information with different characteristics. The sensor observations are the received signal strength indications (RSSIs) of Wi-Fi devices as network facilities and the range of a laser scanner. First, the RSSI data used for determining certain global areas within which the robot is located are represented as RSSI bins. In addition, the results of the RSSI bins contain the uncertainty of localization, which is utilized for calculating the optimal sampling size of the PF to cover the regions of the RSSI bins. The range data are then used to estimate the precise position of the robot in the regions of the RSSI bins using the core process of the PF. The experimental results demonstrate superior performance compared with other approaches in terms of the success rate of the global localization and the amount of computation for managing the optimal sampling size.

• Journal of Positioning, Navigation, and Timing
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• 제9권3호
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• pp.183-189
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• 2020

In emergency rescue situations, the localization accuracy of the rescue requestor is a very important factor in determining the success or failure of the rescue. Indoors where Global Navigation Satellite System (GNSS) is not operated, there is no choice but to use Wi-Fi or LTE signals. However, the performance of the current emergency rescue system utilizing those RF signals is exceedingly low. In this study, the effectiveness of the surface correlation technology using the accumulated signal pattern of RF signals was verified in relation to the emergency localization technology. To validate the proposed system, we configured and tested an emergency rescue scenario in multi-floors building. When the emergency rescue was requested, it was confirmed that the initial localization error was large owing to the short length of the accumulated signal pattern. However, the localization error decreased over time, which eventually led to the accurate location information being delivered to the rescuer.

• 센서학회지
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• 제25권2호
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• pp.131-137
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• 2016

In this study, a multilevel visible light communication (VLC) system based on resistor ladder circuit is designed to transmit medical data. VLC technology is being considered as an alternative wireless communication due to various advantages such as ubiquity, license free operation, low energy consumption, and no radio frequency (RF) radiation characteristics. With VLC even in places where traditional RF communication (e.g., Wi-Fi) is forbidden, significant bio-medical signal including the electrocardiography (ECG) and photoplethysmography (PPG) data can be transmitted. More lives could be saved anywhere by this potential advantage of VLC with a fast emergency response time. A multilevel transmission scheme is adopted to improve the data capacity with keeping simplicity, where data transmission rate can increase by log2m times (m is the number of voltage levels) than that of conventional VLC transmission based on on/off keying. In order to generate multi-amplitudes, resistor ladder circuit, which is a basic principle of digital to analog convertor, is employed, and information is transferred through LED (Light-Emitting Diode) with different voltage level. In the receiver side, multilevel signal is detected by optical receiver including a photo diode. Then, the collected data are analyzed to serve the necessary medical care to the concerned patient.

• 한국통신학회논문지
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• 제36권12B호
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• pp.1442-1449
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• 2011

본 논문에서는 스마트 폰에서 측정되는 GPS 위치 정보와 무선랜 접속점의 신호강도를 사용하여 무선랜 접속점(WLAN Access Point)의 정확한 위치 측정을 위한 새로운 방법을 제안한다. 본 논문에서는 무선랜 AP 위치 할 가능성이 있는 위치를 AP_Area로 정의하고, 이는 먼저 스마트 폰에서 측정된 GPS 정보와 송신 신호 강도(Received Signal Strength)를 측정함으로써 결정하고, 스마트폰으로부터 측정된 값의 개수가 증가 할 때 AP_Area는 실제 무선랜 접속점 위치로 연속적으로 좁아지게 된다. 이를 증명하기 위해 시뮬레이션을 수행하였고, 시뮬레이션 결과는 제안된 알고리즘이 오차범위 5m 이내 (90% 이상)로 무선랜 접속점의 위치를 측정할 수 있음을 보여준다.

• 융합신호처리학회논문지
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• 제15권3호
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• pp.97-103
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• 2014

근래에 와서 출입문의 물리적 보안장치로써 디지털 도어록의 사용이 보편화되었다. 기존의 자물쇠 방식 보다는 훨씬 편리한 기능이지만 도어록에 전기 충격을 가할 경우 열리는 문제점이 노출되었다. 본 연구에서는 도어록 기기를 안으로 숨기고 증강현실을 이용해 도어록을 사용자의 스마트폰 화면에 띄우게 하여 보안성을 높이는 방법을 제안한다. 아울러 메모노트를 띄우는 기능을 추가하여 가족 간의 의사소통을 원활하게 해주는 기능을 부가하였다. 본 연구 결과는 가상으로 만든 출입문과 아두이노와 와이파이 쉴드 그리고 자물쇠를 제어하기 위한 모터를 사용하여 구현하였으며, 만족할 만한 실험결과를 보였다.

• 반도체디스플레이기술학회지
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• 제22권2호
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• pp.50-55
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• 2023

Due to the unavailability of global positioning system (GPS) indoors, various indoor pedestrian positioning methods have been designed to estimate the position of the user using received signal strength (RSS) measurements from radio beacons, such as wireless fidelity (WiFi) access points and Bluetooth low energy (BLE) beacons. In indoor environments, radio-frequency (RF) signals are unpredictable and change over space and time because of multipath associated with reflection and refraction, shadow fading caused by obstacles, and interference among different devices using the same frequencies. Therefore, the outliers in the positional information obtained from the indoor positioning method based on RSS measurements occur often. For this reason, the performance of the positioning method can be degraded by the characteristics of the RF signal. To resolve this issue, a map-matching (MM) algorithm based on maximum probability (MP) estimation is applied to the indoor positioning method in this study. The MM algorithm locates the aberrant position of the user estimated by the positioning method within the limits of the adjacent pedestrian passages. Empirical experiments show that the positioning method can achieve higher positioning accuracy by leveraging the MM algorithm.