• Title/Summary/Keyword: Real-time performance

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The Real-time Printed Alphabets Recognition using Artificial Neural Networks (인공신경망을 이용한 실시간 영문인쇄체 인식)

  • 심성균;정원용
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.149-152
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    • 2001
  • The goals of this papper are not only to maximize of performance but also to reduce the response time for the real-time printed alphabets recognition system using the backpropagation algorithm in the artificial neural network. The Genesis board and MIL(Matrox Image Library) package were used to real-time acquisition, processing and display of images. Through this experiment proved the possibility of real-time recognition processing by comparing response times of the system and proposing the method to reduce of order of the output vectors.

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Design and Implementation of a Architecture For Fault-Tolerant and Real-Time System (결함허용 실시간 시스템 구조에 대한 설계 및 구현)

  • 유종상;김범식;신인철
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1997.11a
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    • pp.417-433
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    • 1997
  • A real-time operating system has focused primary on techniques to minimize processing time, with a secondary emphasis on system reliability issues. Conversely, fault-tolerant system has concentrated on using recourse and information redundancy to maximize the availability and reliability of the system, with a lesser emphasis on performance. We have developed a fault-tolerant and real-time operations system which support a powerful concurrent runtime environment under the above requirements. In this paper, we present an overview of real-time systems, design and implementation of a duplex architecture using advanced concepts and technologies such as fast " fault detection", "fault isolation" and "fault recovery" Because the duplex architecture has two dentical hardware elements and has several recovery steps and hierarchy to facilitate a fast recovery which must be proceeded by a prompt fault detection and isolation. Thus it makes possible to minimize the overhead of the systems including hardware and software and guarantee the service continuity of he systems.

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The Impact of Housing Price on the Performance of Listed Steel Companies Evidence in China

  • Huang, Shuai;Shin, Seung-Woo;Wang, Run-Dong
    • Asia-Pacific Journal of Business
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    • v.11 no.2
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    • pp.27-43
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    • 2020
  • Purpose - This study explores the impact of the real estate industry on related industries for the perspective of Chinese steel companies. Design/methodology/approach - The impact of housing prices on the 41 listed steel companies' performance was analyzed by using the panel data model. We used two kinds of housing price indexes that are set in the panel data models to estimate the range of the real estate market, driving the performance growth of steel listed companies. Moreover, the net profit of steel companies is used as the dependent variable. To test the stability of the model, ROA used as a dependent variable for the robustness test. Also, to avoid the time trend of housing prices, this paper selects the growth rate of housing prices as the primary research variable. After Fisher-type testings, there is no unit root problem in both independent and dependent variables. Findings - The results indicated that the rise in the housing price has a positive influence on the steel company performance. When the housing price increases by 1%, the net profit of steel enterprises will increase by 5 to 20 million yuan. Research implications or Originality - In this paper, empirical data at the micro-level and panel model are used to quantify China's real estate industry's driving effect on the iron and steel industry, providing evidence from the microdata level. It helps us to understand further the status and role of China's real estate industry in the economic structure.

End-to-End Resource Management Techniques for Supporting Real-time Tasks in Mobile Devices (모바일 기기의 실시간 작업 지원을 위한 종단간 자원 관리 기술)

  • Bahn, Hyokyung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.5
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    • pp.43-48
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    • 2022
  • With the recent performance improvement of mobile devices as well as the emergence of various applications, not only interactive tasks but also real-time tasks are rapidly increasing. As real-time tasks have deadline requirements, resource management policies used in the conventional time-sharing systems have limitations in satisfying real-time constraints. In this paper, we examine how to efficiently manage resources while satisfying the constraints of real-time tasks through end-to-end resource management of CPU, memory, and storage when interactive and real-time tasks are executed concurrently on a mobile device. Instead of suggesting complicated resource management policies, we focus on examining the basic concepts necessary for each resource management. Specifically, we first look at basic policies such as assigning dedicated CPU cores for real-time tasks, allocating a certain working set of real-time tasks in memory, and using fast storage without context switch in I/O. We then consider how these basic policies can be adopted efficiently.

Performance analysis of Mini-MAP Architecture in Realtime Applications (실시간 응용시 Mini-MAP의 성능해석에 관한 연구)

  • Kim, Deok-Woo;Chung, Bum-Jin;Kwon, Wook-Hyun
    • Proceedings of the KIEE Conference
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    • 1987.07a
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    • pp.221-225
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    • 1987
  • In this paper, the performance of Mini MAP architecture in realtime application is analyzed by analytic methods. The approximate equations for token rotation time and waiting time are obtained and using these equations network. performance is evaluated. According to the results obtained, Mini MAP architecture has good realtime performance and can be used to many real time applications.

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Dynamic Matching Algorithms for On-Time Delivery in e-Logistics Brokerage Marketplaces

  • Jeong, Keun-Chae
    • Management Science and Financial Engineering
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    • v.13 no.1
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    • pp.93-113
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    • 2007
  • In the previous research, we considered a logistics brokerage problem with the objective of minimizing total transportation lead time of freights in a logistics e-marketplace, in which a logistics brokerage agent intermediates empty vehicles and freights registered by car owners and shippers [7]. However, in the logistics e-marketplace, transportation due date tardiness is more important than the transportation lead time, since transportation service level is critically determined by whether the due date is met or not. Therefore, in this paper, we deal with the logistics brokerage problem with the objective of minimizing total tardiness of freights. Hungarian method based matching algorithms, real time matching(RTM), periodic matching(PM), and fixed matching(FM), are used for solving the problem considered in this paper. In order to test performance of the proposed algorithms, we perform computational experiments on a various problem instances. The results show that the waiting-and-matching algorithms, PM and FM, also give better performance than real time matching strategy, RTM, for the total tardiness minimization problem as the algorithms did for the total lead time minimization problem.

Predictive and Preventive Maintenance using Distributed Control on LonWorks/IP Network

  • Song, Ki-Won
    • International Journal of Safety
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    • v.5 no.2
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    • pp.6-11
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    • 2006
  • The time delay in servo control on LonWorks/IP Virtual Device Network (VDN) is highly stochastic in nature. LonWorks/IP VDN induced time delay deteriorates the performance and stability of the real-time distributed control system and hinders an effective preventive and predictive maintenance. Especially in real-time distributed servo applications on the factory floor, timely response is essential for predictive and preventive maintenance. In order to guarantee the stability and performance of the system for effective preventive and predictive maintenance, LonWorks/IP VDN induced time delay needs to be predicted and compensated for. In this paper position control simulation of DC servo motor using Zero Phase Error Tracking Controller (ZPETC) as a feedforward controller, and Internal Model Controllers (IMC) based on Smith predictor with disturbance observer as a feedback controller is performed. The validity of the proposed control scheme is demonstrated by comparing the IMC based on Smith predictor with disturbance observer.

MPW Chip Implementation and Verification of High-performance Vector Inner Product Calculation Circuit for SVM-based Object Recognition (SVM 기반 사물 인식을 위한 고성능 벡터 내적 연산 회로의 MPW 칩 구현 및 검증)

  • Shin, Jaeho;Kim, Soojin;Cho, Kyeongsoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.11
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    • pp.124-129
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    • 2013
  • This paper proposes a high-performance vector inner product calculation circuit for real-time object recognition based on SVM algorithm. SVM algorithm shows a higher detection rate than other object recognition algorithms. However, it requires a huge amount of computational efforts. Since vector inner product calculation is one of the major operations of SVM algorithm, it is important to implement a high-performance vector inner product calculation circuit for real-time object recognition capability. The proposed circuit adopts the pipeline architecture with six stages to increase the operating speed and makes it possible to recognize objects in real time based on SVM. The proposed circuit was described in Verilog HDL at RTL. For silicon verification, an MPW chip was fabricated using TSMC 180nm standard cell library. The operation of the implemented MPW chip was verified on the test board with test application software developed for the chip verification.

Performance comparison evaluation of real and complex networks for deep neural network-based speech enhancement in the frequency domain (주파수 영역 심층 신경망 기반 음성 향상을 위한 실수 네트워크와 복소 네트워크 성능 비교 평가)

  • Hwang, Seo-Rim;Park, Sung Wook;Park, Youngcheol
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.1
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    • pp.30-37
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    • 2022
  • This paper compares and evaluates model performance from two perspectives according to the learning target and network structure for training Deep Neural Network (DNN)-based speech enhancement models in the frequency domain. In this case, spectrum mapping and Time-Frequency (T-F) masking techniques were used as learning targets, and a real network and a complex network were used for the network structure. The performance of the speech enhancement model was evaluated through two objective evaluation metrics: Perceptual Evaluation of Speech Quality (PESQ) and Short-Time Objective Intelligibility (STOI) depending on the scale of the dataset. Test results show the appropriate size of the training data differs depending on the type of networks and the type of dataset. In addition, they show that, in some cases, using a real network may be a more realistic solution if the number of total parameters is considered because the real network shows relatively higher performance than the complex network depending on the size of the data and the learning target.

A performance study and IC implementation of high-speed distributed-multimedia shared medium access control protocol(part I:HCR protocol structure and performance) (고속 분산 멀티미디어 서비스를 위한 공유매체 접속제어 프로토콜의 성능분석 및 집적회로 구현 (I부:HCR 프로토콜 구조 및 성능 분석))

  • 강선무;이종필;송호준;김대영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.10
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    • pp.2272-2281
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    • 1997
  • This paepr proposes a shared medium access control protocol for hgih-speed multimedia services of distributed subscriber home and small-sized business ATM networks. This protocol offers not only global fairness for the whole network at the same time, but also local fairness for different prioritytraffics on each node. Considering that the future B-ISDN service si a mixture of real and non-real time traffic data, this protocol is designed to accommodate the real time service, by controlling the priority of the real and non-real time data. The simulation results show that the proposed protocol has better performance than the other protocols.

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