• Title/Summary/Keyword: State language

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Results of "Suneung" and Errors on Writing

  • Lee, Eun-Pyo
    • English Language & Literature Teaching
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    • v.8 no.2
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    • pp.55-69
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    • 2003
  • The study was done to find out if there's any correlation between the results of the state-run college entrance examination called "suneung," or college scholastic ability test (CSAT) and the frequency of errors of the medical and nursing students. These two groups of students were subjects for the research. The study was based on the writing of fresh year students who were required to take four-credit-hour English course. These students' writing, particularly their self introduction, was analyzed to see if medical students (the high-scored) made fewer errors on the writing and nursing students (the medium-scored) made more critical errors or vice versa, and furthermore, if the results of the scores had any correlation on the critical errors in writing. The concern of the study was also to explain the attributable factors of the outcome if the high-scored of CSAT actually made fewer errors as well as the types of critical errors made and ways to minimize them.

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Analysis and Design Programming of RC Beams Strengthened with Carbon Fiber Sheets (탄소섬유시트로 보강된 RC보의 해석 및 설계 프로그램 개발)

  • 김성도;김성수
    • Journal of the Korean Society for Railway
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    • v.7 no.4
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    • pp.319-325
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    • 2004
  • In this study, analysis and design programs of bending of RC beams strengthened with fiber sheets are developed by using Visual Basic Language. The program consists two groups, ultimate strength method and nonlinear flexural analysis method. Ultimate strength method regards concrete compressive stress as a rectangular stress block and do not consider tensile stress of concrete and load-deflection curves. On the other hand, nonlinear flexural analysis considers tensile stress of concrete, load-deflection curves, state of stress distribution and failure strain of strengthening material. Also, the analysis method used in this study regards nonlinear flexural stress as compressive stress of concrete. This program can be a good tool for determining the bending strength of strengthened RC beams and estimating the amount of fiber sheets for practical use.

Expression of ASM Semantics for Workflow Modeling Based on Activity Diagram (액티비티 다이어그램 기반의 워크플로우 모델링을 위한 ASM 시멘틱 표현)

  • 고은정;이상영;유철중;장옥배
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.331-333
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    • 2003
  • UML(Unified Modeling Language) 액티비티 다이어그램은 시스템의 동적인 측면을 표현하는데 적합하기 때문에 비즈니스 프로세스와 워크플로우를 모델링 하는데 유용하게 사용된다. 워크플로우 모델링은 이해하기 쉽고. 작업하기 쉬운 보편성을 갖고 있도록 개발되어져야 한다. 또한 모델링을 하는 기법 자체에는 정형적인 의미를 내포하고 있어야 하며 분석이 가능해야 한다. 이에 본 논문에서는 워크플로우 시스템의 특성에 맞도록 ASM(Abstract State Machine) 시멘틱을 이용하여 액티비티 다이어그램 기반의 워크플로우 모델링에 대한 시멘틱 표현을 제안한다. 이와 같은 ASM 시멘틱을 기반으로 하는 정형적인 시멘틱 표현을 통하여 보다 효율적인 워크플로우 모델링이 가능하다.

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AIN Protocol conformance test Suite Generation Using Formal Methods (지능망 교환기에 대한 INAP 적합성 시험 스위트 개발 및 검증)

  • Do, Hyeon-Suk;Bae, Seong-Yong;Kim, Sang-Gi
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.3
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    • pp.741-750
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    • 1998
  • 본 논문에서는 형식 기법을 이용하여 차세대 지능망 응용 프로토콜(INAP:Intelligent Network Application Protocool)적합성 시험 스위트를 생성하는 방법 및 IUT(Implenentation Under Test)시뮬레이터를 구축하여 시험을 수행함으로써 시험 스위트를 검증하는 방법에 관해 기술한다. SDL(Specification and Description Language)과 같은 형식 언어를 사용하여 INAP FSM(Finite State Machine)을 모델링하고 MSC(Message Sequence Chart)로 시험 목적을 기술한다. 기술된 FSM모델과 시험 목적을 검증하기 위해 모의 시험을 거치며, 검증이 완료된 후 시험 스위트로 변환이 된다. 형식 기법을 이용하여 INAP규격을 정확하게 기술할 수 있을 뿐 아니라 시험 스위트를 자동으로 생성함으로써 시간과 비용을 절감할 수 있다. 또한 생성된 시험 스위트를 시험기에 탑재하여 IUT시뮬레이터를 대상으로 시험을 수행함으로써 시험 스위트를 검증할 수 있는 방안을 제시하였다.

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A Study on Performance Analysis Layer of Parallel Program Performance Monitoring Tool (병렬 프로그램 성능 감시 도구의 성능 분석층에 관한 연구)

  • Kim, Byeong-Gi;Ma, Dae-Seong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.5
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    • pp.1263-1271
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    • 1999
  • This paper designs the performance analysis layer for the various performance analysis of parallel programs using event expressions are similar to the normal program language to analyze the events which display a dynamic state exchange of a program. The event expressions suggest operations for overloading and functions which are needed in performance analysis, such as a filtering operation, data format translation functions, performance analysis, static functions, and etc. By using the event expressions, the programmer can modify the event trace data to analyze the performance and analyze more easily and variously than the pre-developed tools.

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Fault Detection of Synchronous Generator using Wavelet Transform (웨이브릿 변환에 의한 동기발전기의 고장검출)

  • Park, Chul-Won;Shin, Myong-Chul
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.640-641
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    • 2007
  • In this paper, the discrete wavelet transform (DWT) was applied a fault detection of a synchronous generator being superior to a transient state signal analysis and being easy to real time realization. The fault signals after executing a terminal fault modeling collect using a MATLAB package, and calculate the wavelet coefficients through the process of a multi-level decomposition (MLD). The proposed algorithm of a fault detection of a generator using Daubechies WT (wavelet transform) was executed with a C language for the commend line function and for the real time realization after analyzing MATLAB's graphical interface.

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A Model Comparison for Spatiotemporal Data in Ubiquitous Environments: A Case Study

  • Noh, Seo-Young;Gadia, Shashi K.
    • Journal of Information Processing Systems
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    • v.7 no.4
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    • pp.635-652
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    • 2011
  • In ubiquitous environments, many applications need to process data with time and space dimensions. Because of this, there is growing attention not only on gathering spatiotemporal data in ubiquitous environments, but also on processing such data in databases. In order to obtain the full benefits from spatiotemporal data, we need a data model that naturally expresses the properties of spatiotemporal data. In this paper, we introduce three spatiotemporal data models extended from temporal data models. The main goal of this paper is to determine which data model is less complex in the spatiotemporal context. To this end, we compare their query languages in the complexity aspect because the complexity of a query language is tightly coupled with its underlying data model. Throughout our investigations, we show that it is important to intertwine space and time dimensions and keep one-to-one correspondence between an object in the real world and a tuple in a database in order to naturally express queries in ubiquitous applications.

Combination of Classifiers Decisions for Multilingual Speaker Identification

  • Nagaraja, B.G.;Jayanna, H.S.
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.928-940
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    • 2017
  • State-of-the-art speaker recognition systems may work better for the English language. However, if the same system is used for recognizing those who speak different languages, the systems may yield a poor performance. In this work, the decisions of a Gaussian mixture model-universal background model (GMM-UBM) and a learning vector quantization (LVQ) are combined to improve the recognition performance of a multilingual speaker identification system. The difference between these classifiers is in their modeling techniques. The former one is based on probabilistic approach and the latter one is based on the fine-tuning of neurons. Since the approaches are different, each modeling technique identifies different sets of speakers for the same database set. Therefore, the decisions of the classifiers may be used to improve the performance. In this study, multitaper mel-frequency cepstral coefficients (MFCCs) are used as the features and the monolingual and cross-lingual speaker identification studies are conducted using NIST-2003 and our own database. The experimental results show that the combined system improves the performance by nearly 10% compared with that of the individual classifier.

Neural Model for Named Entity Recognition Considering Aligned Representation

  • Sun, Hongyang;Kim, Taewhan
    • Annual Conference of KIPS
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    • 2018.10a
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    • pp.613-616
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    • 2018
  • Sequence tagging is an important task in Natural Language Processing (NLP), in which the Named Entity Recognition (NER) is the key issue. So far the most widely adopted model for NER in NLP is that of combining the neural network of bidirectional long short-term memory (BiLSTM) and the statistical sequence prediction method of Conditional Random Field (CRF). In this work, we improve the prediction accuracy of the BiLSTM by supporting an aligned word representation mechanism. We have performed experiments on multilingual (English, Spanish and Dutch) datasets and confirmed that our proposed model outperformed the existing state-of-the-art models.

Present and Future of STiLL and its Application - Overview of Domestic and Overseas Research and Development - (언어교육을 위한 음성정보기술 응용에 관한 국내외 연구 동향)

  • Jang, Tae-Yeoub;Lee, Seok-Chae;Lee, Yong-Ju
    • Proceedings of the KSPS conference
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    • 2005.11a
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    • pp.5-11
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    • 2005
  • This paper gives a brief outline of STiLL related research and its practical applications in Europe, U.S.A, and Japan with a view to encouraging Korean speech scientists and developers as well as linguists and pedagogues to cooperate further for more active participation in this field. The state-of-the-art technologies, academic groups, conferences as well as major STiLL softwares are introduced followed by considerations on the current states, problems of STiLL in Korea, and some suggestions for future development.?⨀

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