• Title/Summary/Keyword: real events

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Implementation of Low-Power Ubiquitous Health System based on Real-Time Embedded Linux using ZigBee wireless communication (ZigBee를 이용한 실시간 임베디드 리눅스 기반의 저전력형 U-Health 시스템 구현)

  • Kwon, Jong-Won;Ayurzana, Odgerel;Park, Yong-Man;Koo, Sang-Jun;Kim, Hie-Sik
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.436-438
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    • 2007
  • As the sensors and communication technology get advance, the remote health diagnosis for patients and senior persons at home are possible now without visiting doctors in hospitals. A low-power ubiquitous health check device was developed adapting Real-Time Embedded Linux is developed. This ubiquitous device is consisted of three sensors. The wrist type health checking terminal acquires periodically the health data by using a blood pressure sensor, a pulse sensor and a body temperature sensor. It transmits the health data to the access point located at the home center through the ZigBee wireless communication modem. This health data collector or access point device sends the data again to the main server operated in a hospital or health care organization. The health server control continuously the input data and sends an alarm signal to the assigned. doctor and responsible persons using cellular SMS when any dangerous events occur. This wrist type health check device has an embedded linux OS using Intel PAX255 MPU. The developed U-Health system is applicable for checking patients health in remote at home. And their family or related persons in remote site can check the patients health status at any time. They can be assured by receiving SMS record and alarm of emergency case which is transmitted from the health server.

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Implementation of Dynamic Event Analysis Tool for J2ME Programs (J2ME 프로그램의 동적 이벤트 분석기의 구현)

  • Choi Yoon-Jeong;Chang Byeong-Mo
    • Journal of KIISE:Software and Applications
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    • v.33 no.9
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    • pp.802-809
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    • 2006
  • J2ME mobile programs have been widely used as mobile devices like mobile phones become popular. Efficient use of resources in mobile programs is very important because mobile programs are executed in mobile environment with insufficient resources. Moreover, most J2ME programs are event-driven, so effective event handling is important for reliability and efficient use of resource. In this research, we develop a dynamic event analysis system, which can show event handling in real-time. In this system, users can trace only interesting events by selecting some options, and can get event profile after execution.

A Study on the Configuration Management System of Long Span Bridge Using Multi GPS Sensor (멀티 GPS 센서를 이용한 장대교량의 형상관리시스템 개발에 관한 연구)

  • Choi, Byoung-Gil;No, Young-Woo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.3
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    • pp.385-392
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    • 2009
  • This study aims to methodology a system which is able to monitor and configuration management of long span bridge in real time using multi GPS. Through setting up many GPS at the important points of long span bridge and measuring displacement in real time, over all 3D configuration of bridge could be analyzed. Behavior analyzing system developed in this study is able to digitize and visualize the overall and points displacement of bridge and deal with events actively. Also it is able to calculate statistical data related to analyze behavior through the constricting database of measuring data.

Numerical Simulations of Flood Inundations with FLUMEN (FLUMEN 모형을 이용한 홍수범람모의)

  • Bae, Yong-Hoon;Koh, Deuk-Koo;Cho, Yong-Sik
    • Journal of Korea Water Resources Association
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    • v.38 no.5 s.154
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    • pp.355-364
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    • 2005
  • In this study, flood inundations have been simulated by using the numerical model FLUMEN solving the shallow-water equations with a finite volume method. Before applying to a real problem, the numerical model is first applied to simplified problems. Obtained numerical results are verified by comparing with available analytical solutions and laboratory measurements. Reasonable agreements are observed. The model is then applied to a simulation of flood events with real geometries. The results of this study will provide basic information to make a flood inundation map.

Biologically-Inspired Selective and Sensitive Trinitrotoluene Sensors Using Conjugated Lipid-like Polymer Nanocoatings for CNT-FET Sensors

  • Jaworski, Justyn;Kim, Tae-Hyun;Yokoyama, Keisuke;Chung, Woo-Jae;Wang, Eddie;Lee, Byung-Yang;Hong, Seung-Hun;Majumdar, Arun;Lee, Seung-Wuk;Kwon, Ki-Young
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.02a
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    • pp.495-495
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    • 2011
  • Miniaturized sensors capable of both sensitive and selective real-time monitoring of target analytes are tremendously valuable for various applications ranging from hazard detection to medical diagnostics. The wide-spread use of such sensors is currently limited due to insufficient selectivity for target molecules. We developed selective nanocoatings by combining trinitrotoluene (TNT) receptors bound to conjugated polydiacetylene (PDA) with single-walled carbon nanotube-field effect transistors (SWNT-FET). Selective binding events between TNT molecules and phage display derived TNT receptors were effectively transduced to sensitive SWNT-FET conductance sensors through the PDA coating. The resulting sensors exhibited unprecedented 1 fM sensitivity toward TNT in real time, with excellent selectivity over various similar aromatic compounds. Our biomimetic receptor coating approach may be useful for the development of sensitive and selective micro and nanoelectronic sensor devices for various other target analytes.

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Development of GPS Monitoring System for Behavior Analysis of Long Span Bridge (장대교량의 거동분석을 위한 GPS 모니터링시스템 개발에 관한 연구)

  • Choi, Byoung-Gil;Cho, Kwang-Hee;Na, Young-Woo
    • Journal of Korean Society for Geospatial Information Science
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    • v.16 no.3
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    • pp.111-117
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    • 2008
  • This study aims to develop a system which is able to monitor and analyze behavior of long span bridge in real time using multiple GPS. Through setting up many GPS at the important points of long span bridge and measuring displacement in real time, over all behavior of bridge could be analyzed. Behavior analyzing system developed in this study is able to digitize and visualize the overall and points displacement of bridge and deal with events actively. Also it is able to calculate statistical data related to analyze behavior through the constructing a database of measuring data.

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A Design and Implementation of Real-Race LBS Smart Phone App. As an Event and Marketing Tool (이벤트 및 마케팅 도구로서 리얼레이스 LBS스마트폰 앱의 설계 및 구현)

  • Cho, Byung-Ho
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.4 no.4
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    • pp.272-277
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    • 2011
  • LBS(Location Based Service) is one of the most important killer App. in the Smart-phone Era. The Smart-phone provide basically location informations using GPS, Wi-Fi AP, 3G ID as a location determination technology to supply LBS. Also it can use maps such as Google map and Daum map with Open API. Therefore, Smart-phone is regarded as the best platform to develop location based applications. In my paper, a location based smart-phone App., that is, "Real-Race App." is designed and implemented for applying events and marketing.

Determination of Shallow Velocity-Interface Model by Pseudo Full Waveform Inversion (유사파형역산에 의한 천부의 속도-경계면 모델 결정)

  • Jeong, Sang Yong;Shin, Chang Soo;Yang, Seung Jin
    • Economic and Environmental Geology
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    • v.28 no.5
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    • pp.481-485
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    • 1995
  • This paper presents a new approaching method to determine the velocity and geometry of shallow subsurface from seismic refraction events. After picking the first breaks from seismic refraction data, we assume that field refraction seismogram can be replaced by the unit delta function having time shift of first break. Time curves are generated by shooting ray tracing. The partial derivatives seismogram for a damped least squares method is computed analytically at each step of the forward ray tracing. The technique is successfully tested on synthetic and real data. It has the advantage of real full waveform inversion, which is robust at low frequency band even if the initial guess is far from the true model.

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Standardization Road Map for the smart farming risk mitigation service and ICT Integration service (ICT 융합 서비스와 스마트 농업 위기완화 서비스 표준화 로드맵)

  • Kim, Dong Il;Chung, Hee Chang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.403-405
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    • 2019
  • The risk mitigation service based on network provides monitoring of the risk event data to be inputted and analyses its big data to be stored in real time. Furthermore, it performs the analysis of the plant disease risk such as a red tide, and livestock disease risk such a food-and-mouth disease, avian influenza, and rinderpest, and provides the mitigation service. The standardization road map for risk mitigation is the real time acquisition monitoring of risk events, and mitigation service for the risks.

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Autonomous-Driving Vehicle Learning Environments using Unity Real-time Engine and End-to-End CNN Approach (유니티 실시간 엔진과 End-to-End CNN 접근법을 이용한 자율주행차 학습환경)

  • Hossain, Sabir;Lee, Deok-Jin
    • The Journal of Korea Robotics Society
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    • v.14 no.2
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    • pp.122-130
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    • 2019
  • Collecting a rich but meaningful training data plays a key role in machine learning and deep learning researches for a self-driving vehicle. This paper introduces a detailed overview of existing open-source simulators which could be used for training self-driving vehicles. After reviewing the simulators, we propose a new effective approach to make a synthetic autonomous vehicle simulation platform suitable for learning and training artificial intelligence algorithms. Specially, we develop a synthetic simulator with various realistic situations and weather conditions which make the autonomous shuttle to learn more realistic situations and handle some unexpected events. The virtual environment is the mimics of the activity of a genuine shuttle vehicle on a physical world. Instead of doing the whole experiment of training in the real physical world, scenarios in 3D virtual worlds are made to calculate the parameters and training the model. From the simulator, the user can obtain data for the various situation and utilize it for the training purpose. Flexible options are available to choose sensors, monitor the output and implement any autonomous driving algorithm. Finally, we verify the effectiveness of the developed simulator by implementing an end-to-end CNN algorithm for training a self-driving shuttle.