• Title/Summary/Keyword: Sensor module

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Low Power NDIR CO2 Sensor Using LED Light Source with a Smart Device Interface (스마트 기기와 결합 가능한 LED 광원을 사용하는 저전력용 비분산 적외선 CO2센서)

  • Kim, Jong-heon;Lee, Chan-joo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.8
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    • pp.1606-1612
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    • 2015
  • In this paper, a portable high efficiency nondispersive infrared(NDIR) $CO_2$ sensor module with a smart device interface is developed. For low power consumption design, an IR LED was used instead of tungsten lamp for light source and an optical waveguide optimized to the sensor module is designed. With the smart device interface, power of the sensor module is applied from the battery of smart phone. The measured data of the sensor module such as $CO_2$ concentration, temperature, and humidity are displayed on the smart phone using android application. From measured results, the developed sensor module shows ${\pm}60ppm$ tolerance error from 0 to 3,000ppm $CO_2$ concentration range among $-10^{\circ}C$ and $50^{\circ}C$ ranges.

Multimodal Biological Signal Analysis System Based on USN Sensing System (USN 센싱 시스템에 기초한 다중 생체신호 분석 시스템)

  • Noh, Jin-Soo;Song, Byoung-Go;Bae, Sang-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.5
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    • pp.1008-1013
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    • 2009
  • In this paper, we proposed the biological signal (body heat, pulse, breathe rate, and blood pressure) analysis system using wireless sensor. In order to analyze, we designed a back-propagation neural network system using expert group system. The proposed system is consist of hardware patt such as UStar-2400 ISP and Wireless sensor and software part such as Knowledge Base module, Inference Engine module and User Interface module which is inserted in Host PC. To improve the accuracy of the system, we implement a FEC (Forward Error Correction) block. For conducting simulation, we chose 100 data sets from Knowledge Base module to train the neural network. As a result, we obtained about 95% accuracy using 128 data sets from Knowledge Base module and acquired about 85% accuracy which experiments 13 students using wireless sensor.

Design of the Crane position control System using GPS and USN (GPS와 USN을 이용한 크레인 위치제어 시스템 설계)

  • Lim, Su-Il;Nam, Si-Byung;Lim, Hae-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1520-1525
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    • 2009
  • In this paper, we study and simulate the suggested position control system using GPS and USN to replace the existing control system of a crane. For the correct approach, the position control system of a crane is divided into the control system of the ground station and the mobile station The hardware is comprised of GPS receiving module to receive the position control data of a crane from GPS satellites, bluetooth communication module for the data communication between the ground station and the mobile station, supersonic sensor module for a precise position control of a crane, motor to replace a crane roller, embedded MCU(ATmega128L) and so on. In here, an embedded MCU controls GPS receiving module, bluetooth communication module and supersonic sensor module. The Software is comprised of three programs. Three programs are the program to filter GGA output part in a receiving data of GPS receiving module, the driving program for supersonic sensor module, the digital map program to monitor a crane location. From the simulation results, it is demonstrated that the proposed system has the capability of crane position control with 1cm precision.

A CMOS Digital Image Sensor with a Feature-Driven Attention Module (특징기반 주의 모듈을 사용하는 CMOS 디지털 이미지 센서)

  • Park, Min-Chul;Cheoi, Kyung-Joo;Hamamoto, Takayuki
    • The KIPS Transactions:PartB
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    • v.15B no.3
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    • pp.189-196
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    • 2008
  • In this paper, a CMOS digital image sensor, which consists of A/D conversion, motion estimation circuits, and an attention module for ROI (Region of Interest) detection is presented. The functions of A/D conversion and motion estimation are implemented by $0.6{\mu}m$ CMOS processing circuit as hardware, and the attention module is implemented outside the circuit as software currently. Attention modules are taken to improve limited applications of the smart image sensor. The current smart image sensor responses to the changes of intensity, and uses the integration time to estimate motion. Therefore it is limited in its applications. To make up for inherent property of the sensor from circuit design and extend its applications we decide to introduce perception solutions to the image sensor. Attention modules for still and moving images are employed to achieve such purposes. The suggested approach makes the smart image sensor available with additional functions for such cases that motion estimation or intensity changes are not observed. Experimental result shows the usefulness and extension of the image sensor.

The Development of 3D based On-Machine Measurement Operating System (3D 기반의 기상측정 운영시스템 개발)

  • 윤길상;최진화;조명우;김찬우
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.7
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    • pp.145-152
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    • 2004
  • This paper proposed efficient manufacturing system using the OMM (on-machine measurement) system. The OMM system is software based 3D modeler for inspection on machine and it is interfaced tool machine with RS232C. The software is composed of two inspection modules that one is touch probe operating module and the other is laser displacement sensor operating module. The module for touch probe has need of inspection feature that extracted it from CAD data. Touch probe moves to workpiece by three operating modes as follows: manual, general and automatic mode. The operating module of laser displacement sensor is used inspection for profile and very small hole. An Advantage of this inspection method is to be able to execute on-line inspection during machining or after it. The efficiency of proposed system which can predict and definite the machining errors of each process is verified, so the developed system is applied to inspect the mold-base(cavity, core).

A Design of Sensor Framework for Low-Power Transmission in the WSN Environment based on WPAN (WPAN 기반의 WSN 환경에서 저전력 송신을 위한 센서 프레임워크 설계)

  • Kim, Yong-Tae;Jeong, Yoon-Su
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.339-346
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    • 2011
  • In the existing RF communication based WPAN environment, a lowering of battery span and interference problem among sensors occur because the value of output is set and transmitted steadily when the system on sensor is initialized. Therefore, this paper proposes a framework and a transmit method with low power which decreases the electricity consumption by properly controling transmit power of opponent by received signal strength indicator(RSSI) of each sensor. The system proposes a power-lowering method by controling transmit power properly by the transmit intensity of the connected sensor after being affected by the transmit intensity of surrounded sensor. The framework that is proposed in this paper includes data transmit module, transmit power manager module, transmit power searching module, signal transmit module, and signal receiving module.

An Intelligent Moving Wireless Camera Surveillance System with Motion sensor and Remote Control (무선조종과 모션 센서를 이용한 지능형 이동 무선감시카메라 구현)

  • Lee, Young Woong;Kim, Jong-Nam
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.661-664
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    • 2009
  • Recently, intelligent surveillance camera systems are needed popularly. However, current researches are focussed on improvement of a single module rather than implementation of an integrated system. In this paper, we implemented a moving wireless surveillance camera system which is composed of face detection, and using motion sensor. In our implementation, we used a camera module from SHARP, a pair of wireless video transmission module from ECOM, body of moving robot used for A4WD1 Combo kit for RC, a pair of ZigBee RF wireless transmission module from ROBOBLOCK, and a motion sensor module (AMN14111) from PANASONIC. We used OpenCV library for face dection and MFC for implement software. We identified real-time operations of face detection, PTT control, and motion sensor detecton. Thus, the implemented system will be useful for the applications of remote control, human detection, and using motion sensor.

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Remote Measurement of ECU Sensor Signal based on the Embedded Linux and Web (임베디드 리눅스와 웹 기반의 ECU 센서신호 원격계측)

  • 이현호;최광훈;권대규;이성철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1042-1045
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    • 2003
  • In this paper, we present a new method for the monitoring of Electric Control Unit's(ECU) self-diagnostic and the sensor signals of vehicle through Web. In order to measure the ECU's self-diagnostic and sensor signals, the interfaced circuit is designed to communicate ECU and terminal according to the ISO, SAE regulation of communication protocol standard. Microprocessor 80C196KC is used for communicating ECU's self-diagnostic signals and the results are sent to the Embedded Linux System(ELS) through RF module. ELS is developed by SA1110, RF module, Embedded Linux. All commands related in ECU communication are executed through Web. The CGI program composed in web server is executed by user and will return sensor signals from ECU Software on Embedded Linux system is developed to monitor the ECU's sensor signals using the arm compiler tool chain in which RS232 port is programmed by half duplex method. The possibility for remote measurement of ECU sensor signal through Web is verified through the developed systems and algorithms.

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Analysis and Evaluation of Slanted-edge-based Modulation Transfer Function and Focus Measurements for Optimal Assembly of Imaging Modules in Gastrointestinal Endoscopy

  • Wonju Lee;Ki Young Shin;Dong-Goo Kang;Minhye Chang;Young Min Bae
    • Current Optics and Photonics
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    • v.7 no.4
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    • pp.398-407
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    • 2023
  • We explored a method to evaluate imaging performance for the optimal assembly of an endoscopic miniature lens and a sensor constituting an imaging module at the distal end of gastrointestinal endoscopy. For the assembly of the imaging module, the image sensor was precisely located at the focal plane when collimated light passed through the endoscopic lens. As another method, the distance between the lens and sensor was adjusted to obtain the highest focus index from images measured the star chart of the International Organization for Standardization (ISO) standard at various positions. We analyzed the slanted-edge modulation transfer function (MTF), corresponding depth of field, and number of line pairs for MTF 50% and 20% at each working distance within the range of 5-100 mm for imaging modules assembled in different ways. Assembly conditions of the imaging module with better MTF performance were defined for each working distance range of 5-30 mm and 30-100 mm, respectively. In addition to the MTF performance, the focus index of each assembled module was also compared. In summary, we examined the performance of imaging modules assembled with different methods within the suggested working distance and tried to establish the optimal assembly protocol.

Temperature Compensation Algorithm of Nondispersive Infrared (NDIR) Gas Sensor (비분산 적외선 가스센서의 온도보상 알고리즘)

  • Park, Jong-Seon;Yi, Seung-Hwan
    • Journal of the Korean Institute of Gas
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    • v.15 no.4
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    • pp.51-55
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    • 2011
  • This paper describes the temperature compensation algorithm using thermopile detector for nondispersive infrared methane gas sensor. From the output voltage of thermistor that is attached onto the infrared detector, the ambient temperature was extracted. The effects of temperatures on the properties of sensor module (the characteristics of narrow bandpass filter, optical cavity and infrared lamp, and gas absorption coefficient times optical path length) have been introduced in order to implement the temperature compensation algorithm. Even though the measurement error of developed sensor module was in the range of $\pm$ 1,500 ppm, after programming the temperature compensation algorithm, the developed sensor module shows a high accuracy less than +180 ppm error within $20^{\circ}C$ temperature variation.