• Title/Summary/Keyword: 센서 태그

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Object Traking System using RFID in Open Space (개방된 공간에서의 RFID를 이용한 객체추적시스템)

  • Kim, Jin-Ah;Moon, Nam-Mee;Hong, Sang-Jin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.07a
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    • pp.504-506
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    • 2015
  • RFID란, 무선 주파수를 이용해 원거리에서 태그의 정보를 판독하거나 인식할 수 있는 객체 인식 기술 중 하나이다. 최근 바코드를 대체하여 RFID 기술을 이용하는 산업이 물류, 유통, 환경, 보안 등 다양한 분야에 걸쳐 전 세계적으로 성장세를 보이고 있는 추세이다. 특히 RFID 기술 중 위치 탐지 및 측정 기술을 이용한 사례가 많다. 본 연구에서도 이러한 기술을 이용하여 공항이나 쇼핑몰 등과 같은 넓고 개방된 공간에서 객체들을 추적하는 시스템을 구현하고자한다. 모든 객체들이 RFID를 가지고 있는 환경에서 Cluster와 센서 네트워크를 이용해 RFID를 감지하면 RFID의 데이터를 서버에 전송하고 서버는 이 데이터들을 분석하여 객체의 위치 및 동선을 추적한다. 객체 추적을 함으로써 정확하고 신뢰성이 있는 데이터를 얻는 것을 본 연구의 목적으로 한다.

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An Adaptive Middleware for U-healthcare System (유헬스케어 시스템을 위한 적응형 미들웨어)

  • Kim, Jae-Yeol;Kim, Yong-Hwan;Ahn, Kwang-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10b
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    • pp.291-295
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    • 2007
  • 본 논문에서는 유헬스를 위한 적응형 미들웨어를 제안한다. 제안하는 적응형 미들웨어의 특징은 USN(Ubiqitous Sensor Network)과 RFID를 동시에 지원하는 미들웨어로 다음과 같은 특징을 가진다. 첫째, 사용자 인식수단으로 RFID 태그와 Zigbee sensor를 동시에 지원한다. 둘째, RFID Reader와 Zibee 센서가 수집한 데이터를 filtering하여 주기적으로 응용 프로그램에 전달한다. 셋째, 이동하는 사용자에 대하여 realtime health monitoring을 지원한다.

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Benchmark of Lightweoght Block Ciphers (HIGHT & PRESENT) for Arduino (경량 암호 알고리즘 HIGHT와 PRESENT의 저전력 매체(Arduino)에서의 성능 비교)

  • Kim, NaYoung;Shin, Dong;Kim, ByeongMan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.875-877
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    • 2015
  • IoT 환경의 센서 네트워크와 RFID 태그 등에서의 AES나 SEED에 대응 할 수 있는 새로운 저전력 경량화 암호 알고리즘이 필요 해짐에 따라 본 논문에서는 2006년 국내에서 제안된 HIGHT와 2007년 CHES에서 제안된 PRESENT 알고리즘을 Arduino에 적용하여 성능을 비교분석 하였다. 그 결과 HIGHT 알고리즘이 PRESENT알고리즘에 비하여 더 짧고, 적은 수행시간과 프로그램 메모리 사용량을 보였으며, 더 많은 동적 메모리 사용량을 보였다.

Environmental monitoring system research based on low-power sensor network (저전력 센서네트워크 기반 환경모니터링 시스템 연구)

  • Kim, Ki-Tae;Kim, Dong-Il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.807-810
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    • 2011
  • The sensor network technology for core technology of ubiquitous computing is in the spotlight recently, the research on sensor network is proceeding actively which is composed many different sensor node. USN(Ubiquitous Sensor Network) is the network that widely applies for life of human being. It works out to sense, storage, process, deliver every kind of appliances and environmental information from the stucktags and sensors. And it is possible to utilize to measure and monitor about the place of environmental pollution which is difficult for human to install. It's studied constantly since it be able to compose easily more subminiature, low-power, low-cost than previous one. And also it spotlights an important field of study, graft the green IT and IT of which the environment and IT unite stragically onto the Network. The problem for the air pollution in the office or the indoor except a specific working area is the continuously issue since the human beings have lived in the dwelling facilities. Measures for that problem are urgently needed. It's possible to solve for the freshair of outside with enough ventilation but that is the awkward situation to be managed by person. This study is the system engineering to management for indoor air condition under the sensor network. And research for efficiently manage an option.

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A Study on Self-Localization of Home Wellness Robot Using Collaboration of Trilateration and Triangulation (삼변·삼각 측량 협업을 이용한 홈 웰니스 로봇의 자기위치인식에 관한 연구)

  • Lee, Byoungsu;Kim, Seungwoo
    • Journal of IKEEE
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    • v.18 no.1
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    • pp.57-63
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    • 2014
  • This paper is to technically implement the sensing platform for Home-Wellness Robot. The self-Localization of indoor mobile robot is very important for the sophisticated trajectory control. In this paper, the robot's self-localization algorithm is designed by RF sensor network and fuzzy inference. The robot realizes its self-localization, using RFID sensors, through the collaboration algorithm which uses fuzzy inference for combining the strengths of triangulation and triangulation. For the triangulation self-Localization, RSSI is implemented. TOA method is used for realizing the triangulation self-localization. The final improved position is, through fuzzy inference, made by the fusion algorithm of the resultant coordinates from trilateration and triangulation in real time. In this paper, good performance of the proposed self-localization algorithm is confirmed through the results of a variety of experiments in the base of RFID sensor network and reader system.

A Study of Environment Monitoring System based on USN (유비쿼터스 센서 네트워크 기반 환경 모니터링 시스템에 관한 연구)

  • Choi, Sam-Gil;Kim, Ki-Tael;Kim, Dong-Il
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.6
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    • pp.1488-1492
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    • 2010
  • USN(Ubiquitous Sensor Network) is the network that widely applies for life of human being. It works out to sense, storage, process, deliver every kind of appliances and environmental information from the stucktags and sensors. And it is possible to utilize to measure and monitor about the place of environmental pollution which is difficult for human to install. It's studied constantly since it be able to compose easily more subminiature, low-power, low-cost than previous one. And also it spotlights an important field of study, graft the green IT and IT of which the environment and IT unite stragically onto the Network. This study realize a IAQM(Indoor Air Quility Management) sensing mechanism composition under the network and suggest the application of Environment monitoring system outlook to measure an Environment element.

Design and Implementation of Wireless RFID Assistant System for Activity Monitoring of Elderly Living Alone (독거노인 활동 모니터링을 위한 보조 시스템의 설계 및 구현)

  • Jung, Kyung-Kwon;Lee, Yong-Gu;Kim, Yong-Joong
    • 전자공학회논문지 IE
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    • v.46 no.3
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    • pp.55-61
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    • 2009
  • This paper describes an assistant system for elders who live alone. The developed system is composed of a wearable RFID system, a gateway system, and server system. The wearable RFID system is installed in glove. The wearable RFID system can be considered as a wireless sensor network which has a sink node and sensor node with a RFID reader. The sensor node can read RFID tags on the various objects used in daily living such as furniture, medicines, sugar and salt bottles, and ok. The sensor node transmits wireless packets to the sink node. The sink node sends the received packet immediately to a server system via a gateway system. The gateway provides users with audio-visual information of objects. The server system is composed of a database server and a web server. The data from each wearable RFID system is collected into a database, and then the data are processed to visualize the measurement of daily living activities of users. The processed data can be provided for someone who wants to know about user's daily living patterns in house such as family, caregivers, and medical crew.

Implementation of Network-based Robot System to Guide a way (길안내를 위한 네트워크 기반 로봇 시스템 구현)

  • Kim, Hyung-Sun;Lee, Jun-Yeon;Lim, Jae-Hyun
    • Journal of Internet Computing and Services
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    • v.10 no.5
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    • pp.117-125
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    • 2009
  • Early in 21st century, researches about intelligent service robot that provide various services for a human out of the industrial robot only has simple pattern repetition. It concentrates in the research regarding the URC(Ubiquitous Robotic Companion) robot which connects the network in the intelligent service. This paper proposes the robot system based on network to guide a way. The robot has made by lego brick and used ultrasonic sensor, rotation sensor and RFID tag to recognize external environment. Also, it includes a PDA to process the data between robot and server. The network server transmits information to robot controller by bluetooth and it controls the course movement and evasion of the robot. In this research, the robot system based on network to guide a way is easy to expand service and is able to process a data in real time due to data processing in the server as a part of intelligent robot. And it can reduce the cost to build a robot thank to use cheaper sensor equipment.

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Implementation of u-Care System Based on Multi-Sensor in u-Home Environment (u-Home 환경에서 멀티센서 기반 u-Care System 구현)

  • Lee, Hee-Jeong;Kang, Sin-Jae;Jang, Hyung-Geun;Jeong, Chang-Won;Joo, Su-Chong
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.135-147
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    • 2011
  • As the number of elderly people living alone has been increasing in the recent years, systems for their safety have been required, and some related services or pilot systems have been operating. These systems provide the monitoring service for the activities of the elderly people living alone with indoor location tracking technology using the various sensors. However, most systems provide services on expensive infrastructure such as attached tags and mobile devices. In this point, this paper attempts to suggest a system based on low cost sensors to collect event data in home environment. And a main characteristic of the system is that people can monitor the results of provided services through web browser in real time and the system can provide related context information to guardians and health care managers through SMS of mobile phone.

A Study on Development of a Smart Wellness Robot Platform (스마트 웰니스 로봇 플랫폼 개발에 관한 연구)

  • Lee, Byoungsu;Kim, Seungwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.331-339
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    • 2016
  • This paper developed a home wellness robot platform to perform the roles in basic health care and life care in an aging society. A robotic platform and a sensory platform were implemented for an indoor wellness service. In the robotic platform, the precise mobility and the dexterous manipulation are not only developed in a symbiotic service-robot, but they also ensure the robot architecture of human friendliness. The mobile robot was made in the agile system, which consists of Omni-wheels. The manipulator was made in the anthropomorphic system to carry out dexterous handwork. In the sensing platform, RF tags and stereo camera were used for self and target localization. They were processed independently and cooperatively for accurate position and posture. The wellness robot platform was integrated in a real-time system. Finally, its good performance was confirmed through live indoor tests for health and life care.