• Proceedings of the Korea Multimedia Society Conference
• /
• 2003.11b
• /
• pp.533-536
• /
• 2003

자바는 썬 마이크로시스템즈사가 개발한 언어로서 현재 가장 널리 사용되는 프로그래밍 언어 중 하나이며, 컴파일러에 의해 플랫폼에 독립적인 바이트코드를 바이너리 형태로 가지고 있는 클래스 파일을 생성하면 JVM에 의해 어떠한 하드웨어나 운영체제에 상관없이 수행이 가능한 플랫폼 독립적인 언어이다. 마이크로소프트사는 .NET 플랫폼을 개발하면서 자바 언어에 대응하기 위해 C# 프로그래밍 언어를 만들었다. C#은 C/C+.의 강력함과 자바나 비주얼 베이직의 높은 생산성을 매우 효과적으로 결합한 프로그래밍 언어이다. C#은 컴파일 과정을 거치면 자바의 바이트코드와 같은 중간 언어인 MSIL코드를 갖는 파일을 출력하게 되는데, C# 이외에도 모든 .NET 언어들은 컴파일과정을 거치면서 MSIL 코드를 얻기 때문에 여러 .NET 언어들을 이용해서 하나의 응용 프로그램을 만들 수 있다. 본 논문에서는 임베디드 시스템에서의 적용을 위해 C#을 컴파일 하여 나오는 중간 언어 형태인 MSIL 코드를 자바의 중간 언어의 한 종류인 Oolong 코드로 변환해 줌으로서 C#으로 구현된 프로그램이 자바 플렛폼에서 JVM에 의해 실행되도록 하는 중간 언어 번역기를 구현하였다.

• Proceedings of the KIEE Conference
• /
• 2000.11d
• /
• pp.679-681
• /
• 2000

This thesis presents a analysis method of hybrid synthesis petri net for automated manufacturing systems in discrete event dynamic system. There are many errors that can happen to petri net modeling of complex systems because petri net modeling process has so many steps. A new matrix analysis method presented in this thesis can confirm the property of petri net such as boundedness, liveness and reversibility, modify errors which can be occurred in modeling.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11c
• /
• pp.1795-1798
• /
• 2002

정보가전 환경은 정보가전들 간의 홈 네트워크론 기반으로 한 상호 정보 교환을 통하여 사용자에게 보다 진보적인 홈 서비스를 제공한다. 정보가전 환경에서는 서로 다른 두 정보가전 내에 동일한 데이터가 중복되는 상황이 발생 가능하므로, 이러한 중복된 데이터의 일관성을 유지시켜 주기 위한 동기화 기능의 지원이 요구된다. 본 논문에서는 정보가전 환경에서 중복된 데이터의 일관성을 유지시키기 위한 효과적인 동기화 기법을 제안하였다. 제안하는 동기화 기법은 네트워크 전송량과 데이터 저장공간을 최소화함으로써 통합 데이터 관리 아키텍춰에서 좋은 성능을 발휘할 수 있다는 것이 큰 장점이다. 또한, 이 동기화 기법은 중앙집중방식의 통합 데이터 관리가 불가능한 현재의 환경과 이것이 가능하게 될 미래의 환경에 모두 적용할 수 있다.

• Korean Journal of Computational Design and Engineering
• /
• v.9 no.3
• /
• pp.203-211
• /
• 2004

In this paper, we present a method of extracting a regular 2-manifold triangular net from a triangular net including degenerate and self-intersected triangles. This method can be applied to obtaining an offset model without degenerate and self-intersected triangles. Then this offset model can be used to generate CL curves and extract machining features for CAPP The robust and efficient algorithm to detect valid triangles by growing regions from an initial valid triangle is presented. The main advantage of the algorithm is that detection of valid triangles is performed only in valid regions and their adjacent selfintersections, and omitted in the rest regions (invalid regions). This advantage increases robustness of the algorithm. As well as a k-d tree bucketing method is used to detect self-intersections efficiently.

• Fibers and Polymers
• /
• v.7 no.1
• /
• pp.51-56
• /
• 2006

Power net fabric is one of the highly extensible two-way fabrics. Power net structure shows special characteristics in the wearing of final functional clothes. This research evaluated effects of treatment temperature on proportional extensibility and shrinkage ratio of spandex at a given wale length. As treatment temperature increased, extensibility increased proportionally to the standard length of the sample and the shrinkage ratio in the direction of course and wale increased. The pulling-out length increased proportionally to the standard length of the sample. However it was affected by the effect of treatment time and temperature due to the thermal properties of spandex filament yarn.

• Journal of KIBIM
• /
• v.2 no.2
• /
• pp.17-26
• /
• 2012

This paper presents the results of a theoretical energy analysis of a research test bed called the Zero Net Energy Test House (ZNETH) in Omaha, Nebraska in U.S.A. The ZNETH project is being designed and built with the goal of consuming a negligible amount of energy by offsetting remaining usage after energy conservation. The theoretically consumed and generated energy levels were analyzed using energy modeling software programs. By integrating a highly graphical and intuitive analysis with a Building Information Model(BIM) of the house, this investigation introduces strategies to include sustainable materials and systems to predict energy generation with a case study of ZNETH. In addition, this paper introduces parametric analyses for better envelope design and construction material selection by analyzing simulated energy consumption with various parametric inputs, e.g., material types, location, and size. It was found that the current design of ZNETH does not meet its goal of zero net energy. Sugeestions are presented to assist ZHETH in meeting its net zero energy goal.

• Proceedings of the KIEE Conference
• /
• 1989.11a
• /
• pp.224-227
• /
• 1989

In this paper, The implementation of modular neural net for fault diagnosis in power system is presented. Until now, there have been many researches on expert system for fault diagnosis. On expert system, a lot of time for searching goal is needed. But, neural net processes with high speed, as it has parallel distributed processing structure. So neural net has good performance in on-line fault diagnosis. For fault diagnosis in large power system, the constitution of modular neural net with partition of large power system is presented.

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 1995.03a
• /
• pp.224-232
• /
• 1995

A process is designed by the backward tracing scheme of the rigid-plastic FEm for net-shape shell nosing component without machining after forming. The current process of the shell nosing industry requires cost-consuming machining to produce final product . The backward tracing scheme of the rigid-plastic FEM, a novel method in preform design of metal forming processes , derives a sound preform for net-shape shell nosing product . The current process is simulated to check the metal flow involved informing with a trial preform and its modified preform. It is found that the two preforms are not suitable for net-shape shell nosing product. Finally, a preform is desinged by the backward tracing scheme, which is suitable for net-shape manufacturing of the shell nosing component.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.22 no.1
• /
• pp.11-18
• /
• 1986

Schooling behavier to a fishing gear and estimation of the volume of fish school in set net have ~ been studied by making use of such techniques as visual observations, underwater cameras, under- water televison. However, all of these observation techniques are subject to restrictions caused by illumination, underwater visibility, underwater transparent and sea conditions. For the above mentioned reasoa, one of the most effective method by this time become generally known a method using fish finder. In this paper, in order to control the fishing ground of set net effectively and to develope the telemetric fish finder, the experiments for the target strength, underwater shape of fishing gear, schooling behavier and volume of fish school with fish finder were performed at Galgott fishing ground of set net located Keouje Island, 15th-24th July and 18th-20th October in 1985. The results of these experiment showed that a method using fish finder in fishing grOlllld of set net is available for estimating distribution and school size, fish behavier in relation to a fishing gear and underwater shape of fishing gears.

• Proceedings of the IEEK Conference
• /
• 2003.07e
• /
• pp.2443-2446
• /
• 2003

본 논문에서는 한국전자통신연구원에서 제공된 대어휘 음성DB를 이용하여 HM-Net(Hidden Markov Network) 음성인식 시스템의 성능평가를 수행하였다. 음향모델 작성은 음성인식에서 널리 사용되고 있는 통계적인 모델링 방법인 HMM(Hidden Markov Model)을 개량한 HM-Net을 도입하였다 HM-Net은 PDT-SSS 알고리즘에 의해 문맥방향과 시간방향의 상태분할을 수행하여 생성되는데, 특히 문맥방향 상태분할의 경우 학습 음성데이터에 출현하지 않는 문맥정보를 효과적으로 표현하기 위해 음소결정트리를 채용하고 있으며, 시간방향 상태분할의 경우 학습 음성데이터에서 각 음소별 지속시간 정보를 효과적으로 표현하기 위한 상태분할을 수행한다. 이러한 상태분할을 수행하여 파라미터를 공유하게 되며 최적인 모델 네트워크를 작성하게 된다. 대어휘 음성데이터를 이용하여 음향모델을 작성하고 인식실험을 수행한 결과, 100명의 100단어와 60문장에 대해 평균 97.5％, 96.7％의 인식률을 보였다.