• Title/Summary/Keyword: automatic description

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IP Design of ATM AAL Module for B-ISDN (B-ISDN용 ATM AAL 계층의 IP 설계)

  • 손승일;김형준
    • Proceedings of the IEEK Conference
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    • 2001.06b
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    • pp.261-264
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    • 2001
  • In this paper, we design IP of ATM AAL layer for B-ISDN. The designed ATM AAL module supports the function for AAL type 0, AAL type 3/4, AAL type 5. The designed IP provides for automatic CRC-32 and CRC-10 for AAL type and AAL type 3/4. Also our IP inserts and extracts the header and trailer for each type automatically. After HDL description, it is verified by the simulation. The designed U is implemented in Xilinx FPGA. Rx AAL module operates at 35MHz and Rx AAL module operates at 50MHz. The designed IP can be applicable in high-speed ATM SAR(Segmentation and Reassembly) chip.

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Blowdown and Condensation (B&C) Loop for Development of Reactor Depressurization System

  • Park, Choon K.;Chul H. Song;Soon Y. Won;Seok Cho;Moon K. Chung
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05b
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    • pp.61-66
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    • 1996
  • High pressure. high temperature steam/water blowdown test loop has been constructed. The loop simulates a pressurizer. depressurizalion system and In-Containment Refueling Water Storage Tank (IRWST) with full pressure and temperature conditions. and will be used to generate data for development of an optimal sparser as well as for design of safety/automatic depressurization system. In addition. experiments for reactor safety and pressurizer thermal hydraulics are scheduled. In this paper. general description of the Blowdown and Condensation (B&C) Loop will be given together with the test program.

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Test Generation for Combinational Logic Circuits Using Neural Networks (신경회로망을 이용한 조합 논리회로의 테스트 생성)

  • 김영우;임인칠
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.30A no.9
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    • pp.71-79
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    • 1993
  • This paper proposes a new test pattern generation methodology for combinational logic circuits using neural networks based on a modular structure. The CUT (Circuit Under Test) is described in our gate level hardware description language. By conferring neural database, the CUT is compiled to an ATPG (Automatic Test Pattern Generation) neural network. Each logic gate in CUT is represented as a discrete Hopfield network. Such a neual network is called a gate module in this paper. All the gate modules for a CUT form an ATPG neural network by connecting each module through message passing paths by which the states of modules are transferred to their adjacent modules. A fault is injected by setting the activation values of some neurons at given values and by invalidating connections between some gate modules. A test pattern for an injected fault is obtained when all gate modules in the ATPG neural network are stabilized through evolution and mutual interactions. The proposed methodology is efficient for test generation, known to be NP-complete, through its massive paralelism. Some results on combinational logic circuits confirm the feasibility of the proposed methodology.

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A Study on the Parameter Identification for Generator Automatic Voltage Regurator by Field Test (현장시험에 의한 발전기 자동전압 제어장치의 정수 추정 기법에 관한 연구)

  • Lim, I.H.;Kim, K.C.
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.277-280
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    • 1995
  • A new improved excitation control system for power plant synchronous generators has been developed by KEPRI(Korea Electric Power Research Institute). In this paper a description of the developed control system with detailed design concept is given. Field tests are conducted to show the system performance and to obtain the model parameters. Based on the measurement approached by field tests excitation model parameters supposing a mathmatical model is given can be determinded. This paper also proposes a algorithm of parameter estimation and identification in the synchronous Generator Excitation Control System.

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Automatic Adverb Error Correction in Korean Learners' EFL Writing

  • Kim, Jee-Eun
    • International Journal of Contents
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    • v.5 no.3
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    • pp.65-70
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    • 2009
  • This paper describes ongoing work on the correction of adverb errors committed by Korean learners studying English as a foreign language (EFL), using an automated English writing assessment system. Adverb errors are commonly found in learners 'writings, but handling those errors rarely draws an attention in natural language processing due to complicated characteristics of adverb. To correctly detect the errors, adverbs are classified according to their grammatical functions, meanings and positions within a sentence. Adverb errors are collected from learners' sentences, and classified into five categories adopting a traditional error analysis. The error classification in conjunction with the adverb categorization is implemented into a set of mal-rules which automatically identifies the errors. When an error is detected, the system corrects the error and suggests error specific feedback. The feedback includes the types of errors, a corrected string of the error and a brief description of the error. This attempt suggests how to improve adverb error correction method as well as to provide richer diagnostic feedback to the learners.

Evolutionary Computation for the Real-Time Adaptive Learning Control(II) (실시간 적응 학습 제어를 위한 진화연산(II))

  • Chang, Sung-Ouk;Lee, Jin-Kul
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.730-734
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    • 2001
  • In this study in order to confirm the algorithms that are suggested from paper (I) as the experimental result, as the applied results of the hydraulic servo system are very strong a non-linearity of the fluid in the computer simulation, the real-time adaptive learning control algorithms is validated. The evolutionary strategy has characteristics that are automatically. adjusted in search regions with natural competition among many individuals. The error that is generated from the dynamic system is applied to the mutation equation. Competitive individuals are reduced with automatic adjustments of the search region in accord with the error. In this paper, the individual parents and offspring can be reduced in order to apply evolutionary algorithms in real-time as the description of the paper (I). The possibility of a new approaching algorithm that is suggested from the computer simulation of the paper (I) would be proved as the verification of a real-time test and the consideration its influence from the actual experiment.

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Development of real-time car tracking system with RGPS and its error analysis (RGPS를 이용한 실시간 차량관제시스템 구현과 오차분석)

  • Go, Sun-Jun;Lee, Ja-Sung
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.1
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    • pp.15-24
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    • 2000
  • Stand-alone global position system receiver based on C/A code tracking generates position error of 100m mainly due to the selective availability and ionospheric and tropospheric delay errors. The differential GPS is the most commonly used method for removing those bias range error components. The relative GPS, although somewhat restrictive in its use, is ideally suited to the car monitoring system for improved Automatic Vehicle location, especially where the DGPS infrastructure is not available. The RGPS does not require any additional hardware, facility or external infrastructure and can be operated within the system with existing host computer and communication link. This paper presents detailed description of the RGPS concept and its implementation for real-time data processing. Performance of RGPS is evaluated with real data and is compared with DGPS.

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A bitwidth optimization algorithm for efficient hardware sharing (효율적인 하드웨어 공유를 위한 단어길이 최적화 알고리듬)

  • 최정일;전홍신;이정주;김문수;황선영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.3
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    • pp.454-468
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    • 1997
  • This paper presents a bitwidth optimization algorithm for efficient hardware sharing in digital signal processing system. The proposed algorithm determines the fixed-point representation for each signal through bitwidth optimization to generate the hardware requiring less area. To reduce the operator area, the algorithm partitions the abstract operations in the design description into several groups, such that the operations in the same group can share an operator. The partitioning result are fed to a high-level synthesis system to generate the pipelined fixed-point datapaths. The proposed algorithm has been implemented in SODAS-DSP an automatic synthesis system for fixed-point DSP hardware. Accepting the models of DSP algorithms in schematics, the system automatically generates the fixed-point datapath and controller satisfying the design constraints in area, speed, and SNR(Signal-to-Noise Ratio). Experimental results show that the efficiency of the proposed algorithm by generates the area-efficient DSP hardwares satisfying performance constraints.

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Object segmentation and object-based surveillance video indexing

  • Kim, Jin-Woong;Kim, Mun-Churl;Lee, Kyu-Won;Kim, Jae-Gon;Ahn, Chie-Teuk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06a
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    • pp.165.1-170
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    • 1999
  • Object segmentation fro natural video scenes has recently become one of very active research to pics due to the object-based video coding standard MPEG-4. Object detection and isolation is also useful for object-based indexing and search of video content, which is a goal of the emerging new standard, MPEG-7. In this paper, an automatic segmentation method of moving objects in image sequence is presented which is applicable to multimedia content authoring for MPEG-4, and two different segmentation approaches suitable for surveillance applications are addressed in raw data domain and compressed bitstream domains. We also propose an object-based video description scheme based on object segmentation for video indexing purposes.

A Study of Methodology for Automatic Construction of OWL Ontologies from Sejong Electronic Dictionary (대용량 OWL 온톨로지 자동구축을 위한 세종전자사전 활용 방법론 연구)

  • Song Do Gyu
    • Language and Information
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    • v.9 no.1
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    • pp.19-34
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    • 2005
  • Ontology is an indispensable component in intelligent and semantic processing of knowledge and information, such as in semantic web. However, ontology construction requires vast amount of data collection and arduous efforts in processing these un-structured data. This study proposed a methodology to automatically construct and generate ontologies from Sejong Electronic Dictionary. As Sejong Electronic Dictionary is structured in XML format, it can be processed automatically by computer programmed tools into an OWL(Web Ontology Language)-based ontologies as specified in W3C . This paper presents the process and concrete application of this methodology.

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