• Title/Summary/Keyword: detection module

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Development of The Home Control System Base on USB (USB에 기반한 홈 제어 시스템 개발)

  • Lee Chang-Goo;Kim Hee-Sun
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.4
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    • pp.405-410
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    • 2006
  • This paper presents the design of a USB home controller and a home control system that specially is focused on controlling home appliances as a part of home network systems, the implementation of the USB device access class in an OSGi service platform and a home security system as an application. Designed USB home controllers are able to control various home appliances. They can be used not only to control big home appliances like a boiler but also to control small home appliances like a toaster because they are low-cost solutions. The USB home controller supports real time control using the interrupt transfer of the USB specification. And It is easy to use by homemakers who have no technical knowledge of the system because they just plug and unplug it in a home server then it automatically joins and leaves a home control system. This technique is based on hot-plug and the USB Device Access class in an OSGi Service Platform. The USB Device Access class supports the coordination of automatic detection and attachment of the USB home controller on an OSGi Service Platform, and it downloads and installs device drivers on demand. For an application, we implemented and tested a home security system using two USB home controllers and a CDMA module.

A Novel Scheme for detection of Parkinson’s disorder from Hand-eye Co-ordination behavior and DaTscan Images

  • Sivanesan, Ramya;Anwar, Alvia;Talwar, Abhishek;R, Menaka.;R, Karthik.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4367-4385
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    • 2016
  • With millions of people across the globe suffering from Parkinson's disease (PD), an objective, confirmatory test for the same is yet to be developed. This research aims to develop a system which can assist the doctor in objectively saying whether the patient is normal or under risk of PD. The proposed work combines the eye-hand co-ordination behaviour with the DaTscan images in order to determine the risk of this disorder. Initially, eye-hand coordination level of the patient is assessed through a hardware module. Then, the DaTscan image is analysed and used to extract certain geometrical parameters which shall indicate the presence of PD. These parameters are then finally fed into a Multi-Layer Perceptron Neural Network using Levenberg-Marquardt (LM) Back propagation training algorithm. Experimental results indicate that the proposed system exhibits an accuracy of around 93%.

A Development of Pulse Oximeter module for Measurement of $SpO_2$ (산소포화도 측정을 위한 모듈형 펄스 옥시메터 개발)

  • 이한욱;이주원;이종회;조원래;이건기
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.3
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    • pp.575-583
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    • 2000
  • Pulse oximetry is a well established non-invasive optical technique for monitoring the $SpO_2$ during anaesthesia, recovery and intensive care. Pulse oximeters determine the oxygen saturation level of blood by measuring the light absorption of arterial blood. In the measurement of the hemoglobin oxygen saturation, conventional method has required the technique of filtering of remove the noise, and of complex signal processing algorithm. So much time have been required to signal processing. In this research, we separate AC signal and DC signal in the stage of signal detection. Therefore we simplify the calculation algorithm for $SpO_2$. The implemented system have the high performance such an accuracy and a processing time than the traditional method.

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Automatic Reading System for On-off Type DNA Chip

  • Ryu, Mun-Ho;Kim, Jong-Dae;Kim, Jong-Won
    • Journal of Information Processing Systems
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    • v.2 no.3 s.4
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    • pp.189-193
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    • 2006
  • In this study we propose an automatic reading system for diagnostic DNA chips. We define a general specification for an automatic reading system and propose a possible implementation method. The proposed system performs the whole reading process automatically without any user intervention, covering image acquisition, image analysis, and report generation. We applied the system for the automatic report generation of a commercialized DNA chip for cervical cancer detection. The fluorescence image of the hybridization result was acquired with a $GenePix^{TM}$ scanner using its library running in HTML pages. The processing of the acquired image and the report generation were executed by a component object module programmed with Microsoft Visual C++ 6.0. To generate the report document, we made an HWP 2002 document template with marker strings that were supposed to be searched and replaced with the corresponding information such as patient information and diagnosis results. The proposed system generates the report document by reading the template and changing the marker strings with the resultant contents. The system is expected to facilitate the usage of a diagnostic DNA chip for mass screening by the automation of a conventional manual reading process, shortening its processing time, and quantifying the reading criteria.

Design and Implementation of Pedestrian Position Information System in GPS-disabled Area (GPS 수신불가 지역에서의 보행자 위치정보시스템의 설계 및 구현)

  • Kwak, Hwy-Kuen;Park, Sang-Hoon;Lee, Choon-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.9
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    • pp.4131-4138
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    • 2012
  • In this paper, we propose a Pedestrian Position Information System(PPIS) using low-cost inertial sensors in GPS-disabled area. The proposed scheme estimates the attitude/heading angle and step detection of pedestrian. Additionally, the estimation error due to the inertial sensors is mitigated by using additional sensors. We implement a portable hardware module to evaluate performance of the proposed system. Through the experiments in indoor building, the estimation error of position information was measured as 2.4% approximately.

Voice Activity Detection Algorithm using Wavelet Band Entropy Ensemble Analysis in Car Noisy Environments (프로세싱에서 삼각함수 공식을 응용한 장식적 타입페이스 제안)

  • Chun, Christine Hyeyeon
    • Journal of Korea Multimedia Society
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    • v.20 no.12
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    • pp.1992-1999
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    • 2017
  • This study proposes a decorative typeface which is produced through the concept of trigonometric functions in an open-source programming language known as Processing. First, the theoretical background of Processing and trigonometric functions as well as previous research in this area are analyzed. Second, basic modules of 'V', 'I', 'O', and 'M' were created for use as the final alphabet typeface with the concept of a trigonometric function. Third, a decorative parabolic curve that encircles the base module was created. Finally, the modules created on Processing were edited in Adobe Illustrator to create a typeface set with characters from A to Z. Various artworks using Programming can produce an infinite number of different versions by modifying only some of the variables and codes, and this method can include multimedia features such as text, images, videos, interactive art and various forms of content and media. Therefore, with regard to expression, the possibilities are endless. In this study, I attempt to expand the field of visual culture using programming and computational methodologies. In contrast to the digital typeface production method, which relies on existing graphic tools, this study is meaningful because it expands the range of use of decorative typefaces.

Movement Intention Detection of Human Body Based on Electromyographic Signal Analysis Using Fuzzy C-Means Clustering Algorithm (인체의 동작의도 판별을 위한 퍼지 C-평균 클러스터링 기반의 근전도 신호처리 알고리즘)

  • Park, Kiwon;Hwang, Gun-Young
    • Journal of Korea Multimedia Society
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    • v.19 no.1
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    • pp.68-79
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    • 2016
  • Electromyographic (EMG) signals have been widely used as motion commands of prosthetic arms. Although EMG signals contain meaningful information including the movement intentions of human body, it is difficult to predict the subject's motion by analyzing EMG signals in real-time due to the difficulties in extracting motion information from the signals including a lot of noises inherently. In this paper, four Ag/AgCl electrodes are placed on the surface of the subject's major muscles which are in charge of four upper arm movements (wrist flexion, wrist extension, ulnar deviation, finger flexion) to measure EMG signals corresponding to the movements. The measured signals are sampled using DAQ module and clustered sequentially. The Fuzzy C-Means (FCMs) method calculates the center values of the clustered data group. The fuzzy system designed to detect the upper arm movement intention utilizing the center values as input signals shows about 90% success in classifying the movement intentions.

Motion Activity Detection using Wireless 3-Axis Accelerometer Sensor for Elder and Feeble Person (노약자 보호를 위한 무선 3축 가속도 센서를 이용한 움직임 검출시스템)

  • Choi, Jeong-Yeon;Jung, Sung-Boo;Lee, Hyun-Kwan;Eom, Ki-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.11
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    • pp.2427-2432
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    • 2009
  • This paper proposes an monitoring system of elder and feeble person's motion activity using an object's motion activity data. The proposed system used wireless 3-axis sensor module, product by Freescale(Wireless Sensing Triple Axis Reference Design Board (ZSTAR)). We distribute sensing data into three classes using Neural Network System SVM. We find performance of proposed system that simulate some case about walk, past walk, fallen. Classify result data and graph of sensing data present succes rate 80%.

Design and Implementation of Cloud-based Sensor Data Management System (클라우드 기반 센서 데이터 관리 시스템 설계 및 구현)

  • Park, Kyoung-Wook;Kim, Kyong-Og;Ban, Kyeong-Jin;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.6
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    • pp.672-677
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    • 2010
  • Recently, the efficient management system for large-scale sensor data has been required due to the increasing deployment of large-scale sensor networks. In this paper, we propose a cloud-based sensor data management system with low cast, high scalability, and efficiency. Sensor data in sensor networks are transmitted to the cloud through a cloud-gateway. At this point, outlier detection and event processing is performed. Transmitted sensor data are stored in the Hadoop HBase, distributed column-oriented database, and processed in parallel by query processing module designed as the MapReduce model. The proposed system can be work with the application of a variety of platforms, because processed results are provided through REST-based web service.

Development of universal controller module using electromyogram signal (근전도 신호를 이용한 범용제어기 모듈)

  • Lee, Chung-Heon;Yu, Jae-Jun;Bae, Sung-Ho;Kang, Sung-Chul;Lee, Dong-Hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.478-480
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    • 2011
  • As the recent games industry grows slowly, the consumers come to have interests in new types of games which has different types from the conventional games. While the conventional games play with a simple interfaces such as a joystick and buttons, the new games are designed to have acceleration sensors, infrared sensors and video motion detection sensing using several types of sensors and allow users to play more actively. In this paper, we propose a method which uses the electromyogram(EMG) signals in interface.

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