• Title/Summary/Keyword: Real-time processing

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Fine-Grain Real-Time Code Scheduling for VLIW Architecture

  • Chung, Tai M.;Hwang, Dae J.
    • Journal of Electrical Engineering and information Science
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    • v.1 no.1
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    • pp.118-128
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    • 1996
  • In safety critical hard real-time systems, a timing fault may yield catastrophic results. In order to eliminate the timing faults from the fast responsive real-time control systems, it is necessary to schedule a code based on high precision timing analysis. Further, the schedulability enhancement by having multiple processors is of wide spread interest. However, although an instruction level parallel processing is quite effective to improve the schedulability of such a system, none of the real-time applications employ instruction level parallel scheduling techniques because most of the real-time scheduling models have not been designed for fine-grain execution. In this paper, we present a timing constraint model specifying high precision timing constraints, and a practical approach for constructing static schedules for a VLIW execution model. The new model and analysis can guarantee timing accuracy to within a single machine clock cycle.

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DSP Implementation of Speech Enhancement System Using Microphone Array with Adaptive Post-processing (적응 후처리 과정을 갖는 마이크로폰 배열을 이용한 잡음제거기의 DSP 구현)

  • 권홍석;김시호;배건성
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.413-416
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    • 2002
  • In this paper, a speech enhancement system using microphone array with adaptive Post-Processing is implemented in real-lime with TMS320C6201 DSP. It consists of delay-and-sum beamformer and adaptive post-processing filters with NLMS (Normalized Least Mean Square) algorithm. THS1206 ADC is used for collection of 4-channel microphone signals. Sizes of program memory, data ROM and data RAM of the implemented system are 15,744, 748 and 47,540 bytes, respectively. Finally 21.839${\times}$106 clocks per second is required for real-time operation.

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Real-Time Streaming Traffic Prediction Using Deep Learning Models Based on Recurrent Neural Network (순환 신경망 기반 딥러닝 모델들을 활용한 실시간 스트리밍 트래픽 예측)

  • Jinho, Kim;Donghyeok, An
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.2
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    • pp.53-60
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    • 2023
  • Recently, the demand and traffic volume for various multimedia contents are rapidly increasing through real-time streaming platforms. In this paper, we predict real-time streaming traffic to improve the quality of service (QoS). Statistical models have been used to predict network traffic. However, since real-time streaming traffic changes dynamically, we used recurrent neural network-based deep learning models rather than a statistical model. Therefore, after the collection and preprocessing for real-time streaming data, we exploit vanilla RNN, LSTM, GRU, Bi-LSTM, and Bi-GRU models to predict real-time streaming traffic. In evaluation, the training time and accuracy of each model are measured and compared.

Fast Processing System for Motion Control of Multi-body Robots (다관절 로봇용 고속 제어보드 개발 및 제어)

  • Sim, Jae-Ik;Kwon, O-Hung;kim, Tae-Sung;Park, Jong-Hyeon
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.951-956
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    • 2007
  • This paper suggests a high-speed control method which is suitable for multi-joint robots using a real-time stand-alone controller for general-purpose. The fast processing controller consists of a PCI Interface Board and 2-axe PWM drivers. The PCI Interface Board consists of 32-channel PWM output ports, 32-channel Encoder Counters, 32-channel A/D Converters and 48-channel Digital I/O ports, and all the I/O data transmissions are completed within 1ms. And The 2-axe PWM driver can be redesigned easily in order to embed in each link. Experimental implementations show that the high-speed control method can be used for the real-time control which is essential to controlling of multi-body robots such as humanoid robots. Especially, it is efficient for realizing the model-based motion control in demand of much calculation time by the high I/O communication speed.

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Development of multi-object image processing algorithm in a image plane (한 이미지 평면에 있는 다물체 화상처리 기법 개발)

  • 장완식;윤현권;김재확
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.555-555
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    • 2000
  • This study is concentrated on the development of hight speed multi-object image processing algorithm, and based on these a1gorithm, vision control scheme is developed for the robot's position control in real time. Recently, the use of vision system is rapidly increasing in robot's position centre. To apply vision system in robot's position control, it is necessary to transform the physical coordinate of object into the image information acquired by CCD camera, which is called image processing. Thus, to control the robot's point position in real time, we have to know the center point of object in image plane. Particularly, in case of rigid body, the center points of multi-object must be calculated in a image plane at the same time. To solve these problems, the algorithm of multi-object for rigid body control is developed.

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Effect on Audio Play Latency for Real-Time HMD-Based Headphone Listening (HMD를 이용한 오디오 재생 기술에서 Latency의 영향 분석)

  • Son, Sangmo;Jo, Hyun;Kim, Sunmin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.141-145
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    • 2014
  • A minimally appropriate time delay of audio data processing is investigated for rendering virtual sound source direction in real-time head-tracking environment under headphone listening. Less than 3.7 degree of angular mismatch should be maintained in order to keep desired sound source directions in virtually fixed while listeners are rotating their head in a horizontal plane. The angular mismatch is proportional to speed of head rotation and data processing delay. For 20 degree/s head rotation, which is a relatively slow head-movement case, less than total of 63ms data processing delay should be considered.

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A Defect Inspection Algorithm Using Multi-Resolution Analysis based on Wavelet Transform (웨이블릿 다해상도 분석에 의한 디지털 이미지 결점 검출 알고리즘)

  • Kim, Kyung-Joon;Lee, Chang-Hwan;Kim, Joo-Yong
    • Textile Coloration and Finishing
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    • v.21 no.1
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    • pp.53-58
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    • 2009
  • A real-time inspection system has been developed by combining CCD based image processing algorithm and a standard lighting equipment. The system was tested for defective fabrics showing nozzle contact scratch marks, which were one of the frequently occurring defects. Multi-resolution analysis(MRA) algorithm were used and evaluated according to both their processing time and detection rate. Standard value for defective inspection was the mean of the non-defect image feature. Similarity was decided via comparing standard value with sample image feature value. Totally, we achieved defective inspection accuracy above 95%.

Implementation of Mobile Cliented-Server System for Real-Time Processing (실시간 처리 기반의 모바일 클라이언트-서버 시스템 구현)

  • Joo, Hae-Jong;Hong, Bong-Wha
    • The Journal of Information Technology
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    • v.9 no.4
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    • pp.35-47
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    • 2006
  • Many researches are going on with regard to issues and problems related to mobile database systems, which are caused by the weak connectivity of wireless networks, the mobility and the portability of mobile clients. Mobile computing satisfies user's demands for convenience and performance to use information at any time and in any place, but it has many problems to be solved in the aspect of data management. The purpose of our study is to Implement Real-Time Mobile Query Processing System(MQPS) to solve problems related to database hoarding, the maintenance of shared dataconsistency and the optimization of logging, which are caused by the weak connectivity and disconnection of wireless networks inherent in mobile database systems under mobile client server environments. In addition, we proved the superiority of the proposed MQPS by comparing its performance to the C I S(Client-Intercept-Srever) model.

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Real-Time Face Tracking System for Portable Multimedia Devices (휴대용 멀티미디어 기기를 위한 실시간 얼굴 추적 시스템)

  • Yoon, Suk-Ki;Han, Tae-Hee
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.9
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    • pp.39-48
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    • 2009
  • Human face tracking has gradually become an important issue in applications for portable multimedia devices such as digital camcorder, digital still camera and cell phone. Current embedded face tracking software implementations lack the processing abilities to track faces in real time mobile video processing. In this paper, we propose a power efficient hardware-based face tracking architecture operating in real time. The proposed system was verified by FPGA prototyping and ASIC implementation using Samsung 65nm CMOS process. The implementation result shows that tracking speed is less than 8.4 msec with 150K gates and 20 mW average power consumption. Consequently it is validated that the proposed system is adequate for portable multimedia device.

Implementation of Real-Time Sound Image Control System (실시간 입체 음상 제어 시스템의 구현)

  • 이동우;김영오;고대식;강성훈
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.3
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    • pp.79-87
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    • 1999
  • In this paper, we reconstruct an algorithm of sound image control for real-time processing and implement a real-time system using digital signal processing board based on TMS320C40. The performance of real-time sound image control system was evaluated by a listening test. The results of the test showed that localized sound image can be perceived by headphone and speaker, and result of test by headphone was better than that of speaker. In the results of test of elevation perception, result of perception between left and right were better than those for differentiating between front and back, and the moving sound image was better than the fixed sound image.

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