• Title/Summary/Keyword: Embedded data

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A Development of Wind Tunnel Test System for Synthetic Jet Actuator with Embedded Web Server (임베디드 웹서버를 이용한 Synthetic Jet Actuator의 풍동실험장치 개발)

  • Jung Gyu Hong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.5 s.236
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    • pp.639-646
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    • 2005
  • As the internet communication is prevalent in recent years, it becomes quite possible to monitor and control some mechanical plants from the remote place through the TCP/IP communication. Such a concept is expected to be applied to many industrial systems fur easy maintenance and trouble shooting as well as various kinds of expensive test equipments fo. sharing. Synthetic jet actuate.(SJA) is a kind of high-lifting device to prevent flow separation at high angle of attack and its use for flow control has received a great amount of attention. In this research, remote control and data monitoring system for SJA wind tunnel test is implemented by TCP/IP communication with DSP as a embedded web server. From the tests performed with embedded server, it showed the possibility of reliable remote control system design utilizing the internet communication.

Network Camera for CMOS Camera Module Inspection (CMOS 카메라 모듈 검사를 위한 네트워크 카메라)

  • 신은철;최병욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.809-813
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    • 2004
  • In this paper, we developed a network camera for CMOS camera module inspection. The design, implementation details including embedded linux porting and CPLD logics, and performance of network camera are described. The network camera consists of SoC(S3C4530A), CPLD and CMOS image sensor. In order to image data of CMOS image sensor we designed capture logics on CPLD by using VHDL program. Embedded Linux such as uClinux is performed on the network camera to utilize development environment and TCP/IP protocol specification. The application is based on socket communication between GUI on PC and Embedded Linux based network camera. When JPEG compression is applied, the transmission speed was improved enough for this system to be used for an alternative of expensive CCTV or remote monitoring system in a power plant and uninhabited places.

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Design and Implementation of Embedded LINUX-Based System for Iris Recognition System (홍채인식 시스템을 위한 임베디드 시스템의 설계 및 구현)

  • 임철수;박병섭
    • The Journal of the Korea Contents Association
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    • v.3 no.3
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    • pp.47-54
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    • 2003
  • In this paper, we implemented embedded LNUX-based UI(User Interface) board which can be applied to Human Iris recognition product. for this purpose, we also analyzed and designed LNUX operating system and adapted boot loader, kernel, control program modules according to the developed H/W architectures. As the experimental results shows that Iris recognition system is operable and embedded LNUX-based UI board which is connected to heterogeneous system by TCP/IP protocol can both successfully send and receive data this UI board has been able to obtain high performance.

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Architecture Design of Improve Embedded Encoder for Efficient Image Compression (효율적인 영상압축을 위한 개선된 임베디드 부호화기의 아키텍쳐 설계)

  • Im, Yun-Hwan;Song, Nak-Un
    • The KIPS Transactions:PartB
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    • v.9B no.1
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    • pp.83-90
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    • 2002
  • In this work, an improved method of EZW is suggested for efficient compression and transmission of image data. Here, coding efficiency is accomplished by embedded coding of significant coefficients using lower-level insignificant coefficients, and coding time is decreased by pre-coding of lower-level coefficients in coefficient detection. In simulation of designed architecture, the performance improvement of 1dB PSNR is confirmed compared with the results by the original En method.

Study for Level of Portability to Quality Improvement of Embedded Software (임베디드 소프트웨어 품질 향상을 위한 이식성 품질 수준 평가에 관한 연구)

  • Lee, Eun Ser
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.10
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    • pp.383-386
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    • 2018
  • As the importance of software has been recognized, the impact of embedded software quality on product quality has become increasingly important. Therefore, in this study, reliability is extracted according to the embedded characteristics and it is described that the reliability evaluation of the embedded software is made easier.

Application of Real-time embedded linux as an operating system for intelligence robots (지능형 로봇 운영체제로서의 실시간 임베디드 리눅스 적용 방법)

  • Choi, Byoung-Wook;Park, Jeong-Ho;Yi, Soo-Yeong
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.184-186
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    • 2007
  • Currently many sensors and processing data in a robot based on USN environments need to real-time features. In this paper, we examine recent research trends on real-time operating systems, especially on real-time embedded Linux, RTAI and Xenomai, for intelligent robots. Xenomai is a real-time development framework and have special feature supporting RTAI, VxWorks, pSOS+ etc. through the "skin". This research gives a guide to researcher in using real-time embedded Linux in the sense of architecture, supporting real-time mechanisms, kinds of real-time device driver, performances.

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An Experimental Study on the Monitoring of Corrosion of Rebar Embedded in Reinforced Concrete (철근콘크리트에 매립된 철근의 부식 모니터링에 관한 실험적 연구)

  • Park, Jang-Hyun;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.262-263
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    • 2019
  • In this study, a sensor for detecting corrosion of rebar embedded in reinforced concrete structures was fabricated and its performance was verified. In order to monitor the open circuit potential(OCP) of the rebar embedded in reinforced concrete, a concrete embedded solid electrode was constructed as a sensor using MnO2. The OCP of the rebar could be observed using a sensor and a data logger. The decrease of the OCP to -510mV (vs.MnO2) or less was judged to be corrosion of the rebar. Since it is a solid-mediated sensor, it is more stable and durable than an electrode using an aqueous solution, and it is considered that the corrosion state of the rebar can be monitored for a long period of time.

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A Study on Wireless Sensor Node Control Using Embedded System (임베디드 시스템을 활용한 무선 센서노드 제어에 관한 연구)

  • Choi, Sin-Hyeong;Han, Kun-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.5
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    • pp.1141-1145
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    • 2007
  • Rapid development of high-micro device design and wireless mobile communication technique enables each information instrument and devices to form intelligent network. The discussion of ubiquitous computing that provide information when and where desired is advanced actively. Information collected through ubiquitous sensor network assists it will be able to provide a convenient and accurate service. In this paper, we design and implement system which shows in realtime through TFT/LCD display device sensing data transmitted in embedded system instead of host pc.

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Design and Implementation of P-DOM for Embedded XML Database System (내장형 XML 데이터베이스 시스템을 위한 P-DOM의 설계 및 구현)

  • 강동완;제권엽;홍영표;한동원;강현석;배종민
    • Journal of Korea Multimedia Society
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    • v.6 no.2
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    • pp.183-193
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    • 2003
  • The importance of XML data and their database supports in a mobile terminal system is on the increase. It leads to active research for embedded XML database systems. In order to handle in documents, DOM API should be supported. The existing DOM API is not suitable for the embedded system with limited resource because the DOM tree requires a large space on main memory. Considering poor resource of embedded systems, we present persistent DOM which is implemented on Berkeley DB and DOMdbm which manages it.

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Analysis of Deep Learning-Based Lane Detection Models for Autonomous Driving (자율 주행을 위한 심층 학습 기반 차선 인식 모델 분석)

  • Hyunjong Lee;Euihyun Yoon;Jungmin Ha;Jaekoo Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.5
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    • pp.225-231
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    • 2023
  • With the recent surge in the autonomous driving market, the significance of lane detection technology has escalated. Lane detection plays a pivotal role in autonomous driving systems by identifying lanes to ensure safe vehicle operation. Traditional lane detection models rely on engineers manually extracting lane features from predefined environments. However, real-world road conditions present diverse challenges, hampering the engineers' ability to extract adaptable lane features, resulting in limited performance. Consequently, recent research has focused on developing deep learning based lane detection models to extract lane features directly from data. In this paper, we classify lane detection models into four categories: cluster-based, curve-based, information propagation-based, and anchor-based methods. We conduct an extensive analysis of the strengths and weaknesses of each approach, evaluate the model's performance on an embedded board, and assess their practicality and effectiveness. Based on our findings, we propose future research directions and potential enhancements.