• Title/Summary/Keyword: 센서모델링

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Thermal Flux Analysis for the Wearable NOx Gas Sensors (웨어러블 NOx 가스센서의 열유동 해석)

  • Jang, Kyung-uk
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.793-799
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    • 2019
  • In this study, the diffusion process and the thermal energy distribution gradient of the sensor were confirmed by using the finite element analysis program (COMSOL) of the mesh method to analyze the thermal diffusion in the wearable fabric (Nylon) + MWCNT gas sensor. To analyze the diffusion process of thermal energy, the structure of the gas sensor was modeled in a two dimension plane. The proposed modeling was presented with the characteristic value for the component of the sensor, and the gas sensor designed using the mesh finite element method (FEM) was proposed and analyzed by suggesting the one-way partial differential equation in the governing equation to know the degree of thermal energy diffusion and the thermal energy gradient. In addition, the temperature gradient 10[K/mm] of the anode-cathode electrode layer and the gas detection unit was investigated by suggesting the heat velocity transfer equation.

The NAC Application for Wireless Sensor Networks (무선 센서 네트워크에서의 NAC 적용)

  • Lee, Kyoung-Gyu;Lee, Young-Woo
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06d
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    • pp.257-260
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    • 2007
  • 무선 센서 네트워크에서는 대부분 배터리로 동작하는 센서 노드들로 구성이 되어 있다. 따라서 최근의 학회나 기업의 연구들에서 센서 노드들의 에너지 소모를 줄이기 위한 MAC과 라우팅 프로토콜들에 많은 노력을 하고 있다. 그러나 각 노드에서의 에너지 소모에 대한 효율성 문제를 다루면서 MAC 레벨의 통신 성격에 따른 파라미터에 대한 보다 최적화된 모델링은 제시가 되고 있지 않다. 본 논문에서는 센서 노드에 현재 미군에서 사용하고 있는 MIL-STD-188-220 통신 규격의 NAC(Network Access Control) 프로토콜을 적용하는 방안을 제시한다.

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Modeling and Calibration of Wrist Magnetic Sensor for Measuring Wrist Gesture (손목운동 측정을 위한 손목 자기장 센서의 모델링 및 캘리브레이션)

  • Yeo, Hee-Joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.4
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    • pp.26-32
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    • 2020
  • Recently, as various wearable devices and IoT technologies have emerged and been applied to real applications, various sensors have been developed to satisfy their purposes and applied. In even In medical applications, IoT technologies have been applied gradually, and particularly, magnets and magnetic sensors have already been playing an important role in the medical industry. In wrist rehabilitation, this kind of sensor technology has enabled us to easily and conveniently measure wrist movement and gestures because there are no tangled lines required between the magnet and sensor. However, one of the drawbacks is that nonlinear output is generated because of the characteristics of a magnetic field. Also, the movement of the wrist joint involves small bones, and so it is not easy to simply model the movement. In order to resolve these issues and accurately measure sensor data, a calibration procedure is inevitable in the measurement. Thus, this paper proposes a practical model and simple calibration methods for measuring the distance between a magnet and a magnetic sensor.

Angle Difference Based State Transition Modeling Technique for the Classification of Signal Pattern from the Sensor Array (센서 어레이의 신호패턴 분류를 위한 각도 변이 기반 상태 천이 모델링 기법)

  • Kim, A-Ram;Lee, Seung-Jae;Kim, Sung-Kyung;Park, Soo-Hyun;Kim, Chang-Hwa
    • Journal of the Korea Society for Simulation
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    • v.15 no.3
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    • pp.49-60
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    • 2006
  • We propose a method to use a state transition model so that the sensing object can be distinguished through classification of signal patterns sensed by a sensor array. Focusing on the design of the model that is able to distinguish the sensed object more exactly, we present an idea in which the modeling elements, 'states' and 'transitions' are defined as each same-sized angle intervals into which the angle interval $(-\frac{\pi}{2},\frac{\pi}{2})$ is divided and the angle differences between adjacent signal values on sampling signal value sequence value sequence sensed from the sensor array in the uniform time interval, respectively. In addition we show the usefulness of our model through experiments.

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VRML Database Access for 3D Real-time Data Visualization in MiWiTM Thermal Wireless Sensor Network (마이와이 표준의 열 센서망의 3차원 실시간 자료 시각화를 위한 가상 현실 모델링 언어 데이터베이스 액세스)

  • Wan, Xue-Fen;Yang, Yi;Cui, Jian;Zheng, Tao;Ma, Li
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.12
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    • pp.164-170
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    • 2012
  • A Virtual Reality Modeling Language (VRML) database access in remote virtual reality control platform for dyeing enterprise $MiWi^{TM}$ thermal sensor network is presented in this paper. The VRML-ASP framework is introduced for 3D real-time data plotting in this application. The activities of thermal sensor nodes and sensor area are analyzed. The database access framework is optimized for $MiWi^{TM}$ wireless sensor networks. The experimental results show that VRML-ASP database access framework could be a reliable and competitive data-manage candidate for targeted virtual reality remote industrial visualization application.

Energy Modeling For the Cluster-based Sensor Networks (클러스터 기반 센서 네트워크의 에너지 모델링 기법)

  • Choi, Jin-Chul;Lee, Chae-Woo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.3
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    • pp.14-22
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    • 2007
  • Wireless sensor networks are composed of numerous sensor nodes and exchange or recharging of the battery is impossible after deployment. Thus, sonsor nodes must be very energy-efficient. As neighboring sensor nodes generally have the data of similar information, duplicate transmission of similar information is usual. To prevent energy wastes by duplicate transmissions, it is advantageous to organize sensors into clusters. The performance of clustering scheme is influenced by the cluster-head election method and the size or the number of clusters. Thus, we should optimize these factors to maximize the energy efficiency of the clustering scheme. In this paper, we propose a new energy consumption model for LEACH which is a well-known clustering protocol and determine the optimal number of clusters based on our model. Our model has accuracy over 80% compared with the simulation and is considerably superior to the existing model of LEACH.

Activity Data Modeling and Visualization Method for Human Life Activity Recognition (인간의 일상동작 인식을 위한 동작 데이터 모델링과 가시화 기법)

  • Choi, Jung-In;Yong, Hwan-Seung
    • Journal of Korea Multimedia Society
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    • v.15 no.8
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    • pp.1059-1066
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    • 2012
  • With the development of Smartphone, Smartphone contains diverse functions including many sensors that can describe users' state. So there has been increased studies rapidly about activity recognition and life pattern recognition with Smartphone sensors. This research suggest modeling of the activity data to classify extracted data in existing activity recognition study. Activity data is divided into two parts: Physical activity and Logical Activity. In this paper, activity data modeling is theoretical analysis. We classified the basic activity(walking, standing, sitting, lying) as physical activity and the other activities including object, target and place as logical activity. After that we suggested a method of visualizing modeling data for users. Our approach will contribute to generalize human's life by modeling activity data. Also it can contribute to visualize user's activity data for existing activity recognition study.

Context aware Modeling and Services Implementation With Event Driven in Ubiquitous Computing Environment (유비쿼터스 컴퓨팅 환경에서 Event Driven 상황정보 모델링 및 서비스 구현)

  • Kim, Hyoung-Sun;Kim, Hyun;Moon, Ae-Kyung;Cho, Jun-Myun;Hong, Chung-Sung
    • Journal of Internet Computing and Services
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    • v.7 no.5
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    • pp.13-24
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    • 2006
  • Context aware computing is an emerging paradigm to achieve ubiquitous computing environments by enabling computer systems to understand their situational contexts. A context aware system uses context to provide relevant information and services to the user depending on the user's task. In this paper, we propose an ontology based context aware modeling methodology that transmits low level contexts acquired by directly accessing various sensors in the physical environments to high level contexts. With these high level contexts, context aware application can provides proactive and intelligent services using ECA (Event Condition Action) rules. We implemented a presentation service in smart office environment.

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Localization Method in Wireless Sensor Networks using Fuzzy Modeling and Genetic Algorithm (퍼지 모델링과 유전자 알고리즘을 이용한 무선 센서 네트워크에서 위치추정)

  • Yun, Suk-Hyun;Lee, Jae-Hun;Chung, Woo-Yong;Kim, Eun-Tai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.530-536
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    • 2008
  • Localization is one of the fundamental problems in wireless sensor networks (WSNs) that forms the basis for many location-aware applications. Localization in WSNs is to determine the position of node based on the known positions of several nodes. Most of previous localization method use triangulation or multilateration based on the angle of arrival (AOA) or distance measurements. In this paper, we propose an enhanced centroid localization method based on edge weights of adjacent nodes using fuzzy modeling and genetic algorithm when node connectivities are known. The simulation results shows that our proposed centroid method is more accurate than the simple centroid method using connectivity only.

Fuzzy Steering Controller for Outdoor Autonomous Mobile Robot using MR sensor (MR센서를 이용한 실외형 자율이동 로봇의 퍼지 조향제어기에 관한 연구)

  • Kim, Jeong-Heui;Son, Seok-Jun;Lim, Young-Chelo;Kim, Tae-Gon;Kim, Eui-Sun;Ryoo, Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.1
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    • pp.27-32
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    • 2002
  • This paper describes a fuzzy steering controller for an outdoor autonomous mobile robot using MR(magneto-resistive) sensor. Using the magnetic field difference values(dBy, dBz) obtained from the MR sensor, we designed fuzzy logic controller for driving the robot on the road center and proposed a method to eliminate the Earth magnetic field. To develop an autonomous mobile robot simulation program, we have done modeling MR sensor, mobile robot and coordinate transformation. A computer simulation of the robot including mobile robot dynamics and steering was used to verify the driving performance of the mobile robot controller using the fuzzy logic. So, we confirmed the robustness of the proposed fuzzy controller by computer simulation.