• Title/Summary/Keyword: Real Time Locating

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A Real-Time Method for the Diagnosis of Multiple Switch Faults in NPC Inverters Based on Output Currents Analysis

  • Abadi, Mohsen Bandar;Mendes, Andre M.S.;Cruz, Sergio M.A.
    • Journal of Power Electronics
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    • v.16 no.4
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    • pp.1415-1425
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    • 2016
  • This paper presents a new approach for fault diagnosis in three-level neutral point clamped inverters. The proposed method is based on the average values of the positive and negative parts of normalized output currents. This method is capable of detecting and locating multiple open-circuit faults in the controlled power switches of converters in half of a fundamental period of those currents. The implementation of this diagnostic approach only requires two output currents of the inverter. Therefore, no additional sensors are needed other than the ones already used by the control system of a drive based on this type of converter. Moreover, through the normalization of currents, the diagnosis is independent of the load level of the converter. The performance and effectiveness of the proposed diagnostic technique are validated by experimental results obtained under steady-state and transient conditions.

Technology Trend of Active RFID-Based Real-Time Locating Systems (능동형 RFID 기반 실시간 위치추적 기술 동향)

  • Cha, J.S.;Myong, S.I.;Lee, H.S.;Chae, J.S.
    • Electronics and Telecommunications Trends
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    • v.24 no.5
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    • pp.87-97
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    • 2009
  • 위치정보 제공 서비스는 이동통신 기술의 급속한 발전과 함께 무선통신 기술을 활용한 다양한 측위 기술들을 통해 그 서비스가 이루어져 왔다. 이들 중에서 특히 능동형 RFID에 기반한 실시간 위치추적 시스템(RTLS)은 자산이나 사람들의 위치를 실시간으로 추적할 수 있는 자동화된 시스템이란 것이 입증되면서, 최근 들어 괄목할 만한 주목을 받고 있을 뿐만 아니라 의료, 군수, 항만, 물류 및 제조 등과 같은 다양한 분야로 그 도입이 활성화되고 있는 추세이다. 따라서 본 고에서는 능동형 RFID에 기반한 실시간 위치추적 시스템에 대한 기술 개발 및 관련 표준화 동향을 살펴보도록 한다. 아울러 이를 기반으로, 향후 RTLS의 발전 방향을 전망해 보도록 한다.

Introducing Mobile Cloud Computing-Cloudlet for implementing mobile APP (모바일앱을 구현하기 위한 모바일 클라우드 도입)

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.304-307
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    • 2015
  • Virtualization lacks capabilities for enabling the application to scale efficiently because of new applications components which are raised to be configured on demand. In this paper, we propose an architecture that affords mobile app based on nomadic smartphone using not only mobile cloud computing-cloudlet architecture but also a dedicated platform that relies on using virtual private mobile networks to provide reliable connectivity through Long Term Evolution (LTE) wireless communication. The design architecture lies with how the cloudlet host discovers service and sends out the cloudlet IP and port while locating the user mobile device. We demonstrate the effectiveness of the proposed architecture by implementing an android application responsible of real time analysis by using a vehicle to applications smart phones interface approach that considers the smartphones to act as a remote users which passes driver inputs and delivers outputs from external applications.

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TDOA Measurement Based Taylor Series Design Method Considering Height Error for Real-Time Locating Systems (실시간 위치추적 시스템에서 높이 오차를 고려한 TDOA 측정치 기반 테일러 급수 설계 방법)

  • Kang, Hee-Won;Hwang, Dong-Hwan;Park, Chan-Sik
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.8
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    • pp.804-809
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    • 2010
  • This paper proposes a Taylor-series design method which reduces the height error of the tag when readers are arranged at the same height in 3-dimensional space. The proposed method consists of two steps. Firstly, the planar position is estimated by the Taylor-series method using the TDOA measurement. Next, the height is estimated from the estimated planar position. In order to show the validity of the proposed method, computer simulations were performed for the static case and linear trajectory of the tag. Results show that the proposed method gives convergent estimated position and better height estimate than the Taylor series method.

Trajectory-based Localization to overcome Radio Shadow Area in Port Logistics Environments (항만 환경의 음영지역 극복을 위한 동선 정보 기반의 측위 기법)

  • Jin, Young-Woo;Son, Sang-Hyun;Choi, Hoon;Baek, Yun-Ju
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06b
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    • pp.446-450
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    • 2010
  • 다변측량법은 위치가 알려진 3개 이상의 지점으로부터 대상까지의 거리 정보를 바탕으로 대상의 위치를 계산하는 기법이다. Real Time Locating Systems (RTLS) 에서는 대상의 위치를 파악하기 위해 다변측량 기법을 주로 사용하는데, 이를 위해서는 리더와 대상과의 거리 정보가 3개 이상 필요하다. 그러나 항만 환경처럼 시설물 설치가 어렵고 장애물도 많은 넓은 지역에서는 음영지역이 다수 존재하여 이러한 조건을 항상 만족시키기 어렵다. 본 논문에서는 다변측량이 불가능한 적은 수의 거리 정보만으로 대상의 위치를 파악할 수 있도록 대상의 동선 정보를 이용하는 동선 정보 기반의 측위 기법을 제안한다. 성능 평가 결과 최소자승법만을 사용했을 때보다 평균 측위 오차가 약 3m, 표준 편차가 6m 줄었으며, 측위 성공률이 4.6 배 이상 높아졌다.

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The Tag Monitoring Software using the RTLS (RTLS를 활용한 태그 동선 모니터링 소프트웨어)

  • Lee, Myeongsoo;Kim, Dongmin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.972-974
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    • 2018
  • RTLS (Real Time Locating Systems)는 자신의 위치를 실시간으로 전송하는 하드웨어와 이를 확인하는 소프트웨어로 구성 된 기술이다. 이 기술은 저비용의 하드웨어를 이용한 무선 통신 기술을 기반으로 사람 및 물체의 위치 추적이 실시간으로 가능하기 때문에, 산업 현장을 비롯한 다양한 분야의 요구가 증가하고 있다. 현재는 RTLS 하드웨어 설계에만 연구의 초점이 맞추어짐에 따라 이를 활용하기 위한 소프트웨어의 연구 자료 수집은 미비한 상태이다. 본 논문에서는 RTLS 하드웨어를 활용한 실시간 태깅 데이터를 모니터링하는 목적으로 소프트웨어를 설계 및 구현하고, 향후 연구 내용들을 기술한다.

Vehicle Detection for Adaptive Head-Lamp Control of Night Vision System (적응형 헤드 램프 컨트롤을 위한 야간 차량 인식)

  • Kim, Hyun-Koo;Jung, Ho-Youl;Park, Ju H.
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.1
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    • pp.8-15
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    • 2011
  • This paper presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting vehicle headlights and taillights using techniques of image segmentation and clustering. First, in order to effectively extract spotlight of interest, a pre-signal-processing process based on camera lens filter and labeling method is applied on road-scene images. Second, to spatial clustering vehicle of detecting lamps, a grouping process use light tracking method and locating vehicle lighting patterns. For simulation, we are implemented through Da-vinci 7437 DSP board with visible light mono-camera and tested it in urban and rural roads. Through the test, classification performances are above 89% of precision rate and 94% of recall rate evaluated on real-time environment.

Application of a deep learning algorithm to Compton imaging of radioactive point sources with a single planar CdTe pixelated detector

  • Daniel, G.;Gutierrez, Y.;Limousin, O.
    • Nuclear Engineering and Technology
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    • v.54 no.5
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    • pp.1747-1753
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    • 2022
  • Compton imaging is the main method for locating radioactive hot spots emitting high-energy gamma-ray photons. In particular, this imaging method is crucial when the photon energy is too high for coded-mask aperture imaging methods to be effective or when a large field of view is required. Reconstruction of the photon source requires advanced Compton event processing algorithms to determine the exact position of the source. In this study, we introduce a novel method based on a Deep Learning algorithm with a Convolutional Neural Network (CNN) to perform Compton imaging. This algorithm is trained on simulated data and tested on real data acquired with Caliste, a single planar CdTe pixelated detector. We show that performance in terms of source location accuracy is equivalent to state-of-the-art algorithms, while computation time is significantly reduced and sensitivity is improved by a factor of ~5 in the Caliste configuration.

A Computer Vision Approach for Identifying Acupuncture Points on the Face and Hand Using the MediaPipe Framework (MediaPipe Framework를 이용한 얼굴과 손의 경혈 판별을 위한 Computer Vision 접근법)

  • Hadi S. Malekroodi;Myunggi Yi;Byeong-il Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.563-565
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    • 2023
  • Acupuncture and acupressure apply needles or pressure to anatomical points for therapeutic benefit. The over 350 mapped acupuncture points in the human body can each treat various conditions, but anatomical variations make precisely locating these acupoints difficult. We propose a computer vision technique using the real-time hand and face tracking capabilities of the MediaPipe framework to identify acupoint locations. Our model detects anatomical facial and hand landmarks, and then maps these to corresponding acupoint regions. In summary, our proposed model facilitates precise acupoint localization for self-treatment and enhances practitioners' abilities to deliver targeted acupuncture and acupressure therapies.

Design and Implementation of RTLS based on a Spatial DSMS (공간 DSMS 기반 RTLS의 설계 및 구현)

  • Kim, Joung-Joon;Kim, Pan-Gyu;Kim, Dong-Oh;Lee, Ki-Young;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.10 no.4
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    • pp.47-58
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    • 2008
  • With the recent development of the ubiquitous computing technology, there are increasing interest and research in technologies such as sensors and RFID related to information recognition and location positioning in various ubiquitous fields. Especially, a standard specification was required for compatibility and interoperability in various RTLS(Real-Time Locating Systems) according to the development of RTLS to provide location and status information of moving objects using the RFID Tag. For these reasons, the ISO/IEC published the RTLS standard specification for compatibility and interoperability in RTLS. Therefore, in this paper, we designed and im plemented RTLS based on the spatial DSMS(Data Stream Management Stream) for efficiently managing and searching the incoming data stream of moving objects. The spatial DSMS is an extended system of STREAM(STanford stREam datA Manager) developed by Standford University to make various spatial operations possible. RTLS based on the spatial DSMS uses the SOAP(Simple Object Access Protocol) message between client and server for interoperability and translates client's SOAP message into CQL(Continuous Query Language) of the spatial DSMS. Finally, we proved the efficiency of RTLS based on the spatial DSMS by applying it for the staff location management service.

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