• Title/Summary/Keyword: C Language

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Fixed-point optimization utility for digital signal processing programs (디지탈 신호처리용 고정 소수점 최적화 유틸리티)

  • 김시현;성원용
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.9
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    • pp.33-42
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    • 1997
  • Fixed-point optimization utility software that can aid scaling and wordlength determination of digital signal processign algorithms written in C or C$\^$++/ language is developed. This utility consists of two programs: the range estimator and the fixed-point simulator. The former estimates the ranges of floating-point variables for automatic scaling purpose, and the latter translates floating-point programs into fixed-point equivalents for evaluating te fixed-point performance by simulation. By exploiting the operator overloading characteristics of C$\^$++/ language, the range estimation and the fixed-point simulation can be conducted just by modifying the variable declaration of the original program. This utility is easily applicable to nearly all types of digital signal processing programs including non-linear, time-varying, multi-rate, and multi-dimensional signal processing algorithms. In addition, this software can be used for comparing the fixed-point characteristics of different implementation architectures.

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The design and implementation of an enhanced ASN.1 compiler for open system application (개방 시스템 응용을 위한 개선된 ASN.1 컴파일러 설계 및 구현)

  • 김홍열;임제택
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.3
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    • pp.28-37
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    • 1996
  • Syntax notation one (ASN.1) defined by ITU-T and ISO, is a formal abstrct specification language which has been widely used in international standards specifiation to inteconnect distributed open systems. It si necessary to have well defined encoder/decoder modules which taranslate ASN.1 datum to BER octets stream to interconnect distributed open systems. In this paper, we designed and implemented a new ASN.1-to-C compiler, called HYASNC (hanyang ASN.1-to-C), which atutomatically translates and ASN.1-to-C compiler, called HYASNC (hanyang ASN.1-to-C), which automatically translates an ASN.1 specification into C-language BER encoders and decoders with simple and neat I/F for the defined ASN.1 data types, and enhanced BER (basic encoding rules)encoding/decoding libraries, called HY(hanyang)BER library, and useful utility functions. And this paper discusses HYASNC compiler, HY BER runtime library's design and implementation principles, and also evaluates the perfomrance of HY BER library and the interoperability with other ASN.1 compilers.

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Skyline Algorithm for Finite Analysis Programs Written in C Language (C언어의 유한요소해석 프로그램을 위한 Skyline Algorithm)

  • 이재영
    • Computational Structural Engineering
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    • v.2 no.2
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    • pp.85-92
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    • 1989
  • A modified skyline algorithm suitable for C language in this paper. The modified algorithm improves the computational efficiency and the structure of the program. Substantial reduction of execution time is achieved by simplifying assemblage and decomposition of the stiffness matrix. A source program is also provided for use in future development of finite element softwares.

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Sequential Sentence Classification Model based on ELECTRA (ELECTRA 기반 순차적 문장 분류 모델)

  • Choi, Gi-Hyeon;Kim, Hark-Soo;Yang, Seong-Yeong;Jeong, Jae-Hong;Lim, Tae-Gu;Kim, Jong-Hoon;Park, Chan-Kyu
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.327-330
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    • 2020
  • 순차적 문장 분류는 여러 문장들을 입력으로 받아 각 문장들에 대하여 사전 정의된 라벨을 할당하는 작업을 말한다. 일반적인 문장 분류와 대조적으로 기준 문장과 주변 문장 사이의 문맥 정보가 분류에 큰 영향을 준다. 따라서 입력 문장들 사이의 문맥 정보를 반영하는 과정이 필수적이다. 최근, 사전 학습 기반 언어 모델의 등장 이후 여러 자연 언어 처리 작업에서 큰 성능 향상이 있었다. 앞서 언급하였던 순차적 문장 분류 작업의 특성상 문맥 정보를 반영한 언어 표현을 생성하는 사전 학습 기반 언어 모델은 해당 작업에 매우 적합하다는 가설을 바탕으로 ELECTRA 기반 순차적 분류 모델을 제안하였다. PUBMED-RCT 데이터 셋을 사용하여 실험한 결과 제안 모델이 93.3%p로 가장 높은 성능을 보였다.

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Development of a Traceability Analysis Method Based on Case Grammar for NPP Requirement Documents Written in Korean Language

  • Yoo Yeong Jae;Seong Poong Hyun;Kim Man Cheol
    • Nuclear Engineering and Technology
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    • v.36 no.4
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    • pp.295-303
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    • 2004
  • Software inspection is widely believed to be an effective method for software verification and validation (V&V). However, software inspection is labor-intensive and, since it uses little technology, software inspection is viewed upon as unsuitable for a more technology-oriented development environment. Nevertheless, software inspection is gaining in popularity. KAIST Nuclear I&C and Information Engineering Laboratory (NICIEL) has developed software management and inspection support tools, collectively named "SIS-RT. "SIS-RT is designed to partially automate the software inspection processes. SIS-RT supports the analyses of traceability between a given set of specification documents. To make SIS-RT compatible for documents written in Korean, certain techniques in natural language processing have been studied [9]. Among the techniques considered, case grammar is most suitable for analyses of the Korean language [3]. In this paper, we propose a methodology that uses a case grammar approach to analyze the traceability between documents written in Korean. A discussion regarding some examples of such an analysis will follow.

Integrated Sentence Preprocessing System for Web Indexing (웹 인덱싱을 위한 통합 전처리 시스템의 개발)

  • Shim, Jun-Hyuk;Cha, Jong-Won;Lee, Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 2000.10d
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    • pp.216-223
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    • 2000
  • 웹 문서는 일반 문서들과 달리 자유로운 형식으로 기술되어 있고, 원문에 태그나 코드 등 불필요한 내용들을 많이 포함하고 있어 언어 처리에 바로 사용하기에 적합하지 못하다. 본 논문은 인덱싱 대상 문서로 사용되는 웹 문서를 자동으로 수집하여, 문장 단위로 정렬된 문서로 제작, 관리하는 통합 전처리 시스템인 Web Tagger의 구조와 전처리 방법을 소개한다. Web Tagger는 문서 정제, 문장 분할, 띄어쓰기의 과정을 거쳐 웹 문서에서 표준화된 정보를 추출하고, 형태소 분석기를 포함한 응용 시스템의 목적에 맞게 XML 형식의 원문 코퍼스를 자동으로 생성하고 관리한다. '정규문법(Regexp)', '휴리스틱', '품사 인덱스 참조', 'C4.5를 사용한 학습 규칙' 등의 다양한 전처리 기법은 형태소 분석 정확도 향상과 시스템 안정성 보장에 기여한다.

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Design and Implementation of a C Coding Style Checker (C 코딩 스타일 검증기의 설계 및 구현)

  • Hwang, Jun-Ha
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.2
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    • pp.31-40
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    • 2008
  • Various coding styles for C language have been proposed so far but there has been a lack of synthetic review about them. In this paper, I propose a new C coding style by analyzing coding rules that are included in the representative C coding styles and by adding new coding rules besides them. In addition, I designed an automated C coding style checker named CStyler which was implemented using Lex and Yacc. It is designed to be able to verify unpreprocessed source code as well as preprocessed source code. And I improved its flexibility by being able to add a new coding rule by end user. I think that the new C coding style and coding style checker, CStyler, can be utilized for education and for future research to develop and extend a static analysis tool.

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An Alignment based technique for Text Translation between Traditional Chinese and Simplified Chinese

  • Sue J. Ker;Lin, Chun-Hsien
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2002.02a
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    • pp.147-156
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    • 2002
  • Aligned parallel corpora have proved very useful in many natural language processing tasks, including statistical machine translation and word sense disambiguation. In this paper, we describe an alignment technique for extracting transfer mapping from the parallel corpus. During building our system and data collection, we observe that there are three types of translation approaches can be used. We especially focuses on Traditional Chinese and Simplified Chinese text lexical translation and a method for extracting transfer mappings for machine translation.

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Lexical Ambiguity Resolution System of Korean Language using Dependency Grammar and Collative Semantics (의존 문법과 대조 의미론을 이용한 한국어의 어휘적 중의성 해결 시스템)

  • 윤근수;권혁철
    • Korean Journal of Cognitive Science
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    • v.3 no.1
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    • pp.1-24
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    • 1991
  • This paper presents the Lexical Ambiguity Resolution System of Korean Language. This system uses Dependency grammar and Collative Semantics. Dependency grammar is used to analyze Korean syntactic dependency. A robust way to analyze a sentence is to establish links between individual words. Collative Semantics investigates the interplay between lexical ambiguity and semantics relations. Collative Semantics consists of sense-frame, semantic vector, collation, and screening. Our system was implemented by C programming language. This system analyzes sentences, discriminates the kinds of semantic relation between pairs of words senses in those sentences, and resolves lexical ambiguity.