• 한국CDE학회논문집
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• 제9권3호
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• pp.203-211
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• 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
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• 제7권1호
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• pp.51-56
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• 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.

• 한국BIM학회 논문집
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• 제2권2호
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• pp.17-26
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• 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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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• pp.224-227
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• 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.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 1995년도 춘계학술대회논문집
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• pp.224-232
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• 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.

• 수산해양기술연구
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• 제22권1호
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• pp.11-18
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• 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.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.2443-2446
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• 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.

• 대한전자공학회논문지SD
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• 제39권6호
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• pp.19-25
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• 2002

규칙적인 가상 연결방법을 이용하면 노드에서 라우팅을 위한 프로세싱 시간이 단축되어 고속의 네트워크에 적용이 가능하다. 규칙적인 가상 연결방법의 하나인 셔플넷은 일반적으로 p개의 연결이 다른 노드들과 이루어진다. 그러나 우리가 제안한 하나 걸른 행과 연결된 이중층 셔플넷 토폴로지를 이용하면 2p개의 노드들과 동시에 연결되므로 더욱 효과적인 광역 통신망에 적용할 수 있다. 이 하나 걸른 행과 연결된 이중층 셔플넷 토폴로지를 이용하여 물리적 토폴로지에 가상 토폴로지를 imbedding하는 방법을 본 논문에서 연구하였다. 전체 지연 시간을 최소화하는 것을 목표로 네트워크를 최적화하였다.

• 통상정보연구
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• 제10권1호
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• pp.139-154
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• 2008

This research want to discuss some issues about payment system of America. This research focuses on comparing ACH with Fedwire. Firstly Fedwire is the payment system for only large-dollar transfer(Large-Value Transfer System; LVTS), while ACH(Automated Clearing House)payment mainly applies a consumer account. Secondly ACH transaction is either credit or debit transfer, while Fedwire is only credit transfer. Thirdly the communication system of Fedwire has twoway method, telephonelike communication network, but ACH is oneway store and forward electronic mail. At present LVTS divides into RTGS(Real-Time Gross Settlement) and DNS(Deferred Net Settlement). However Fedwire uses either RTGS(instantaneous for every transaction) or DNS(net net transaction) but ACH uses only DNS(net net transaction). Fourthly ACH is substantially cheaper than the Fedwire payment. lastly security is important in both Fedwire and ACH, it is even more crucial in Fedwire In addition, for each transaction, Fedwire may entail individual instantaneous confirmation to the originator and notification to the receiver, whereas ACH do not.

• 한국콘텐츠학회논문지
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• 제6권3호
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• pp.20-27
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• 2006

본 연구는 객체 지향 소스 코드의 검색과 재사용을 효율적으로 수행할 수 있는 의미망을 구축하였다. 이를 위하여 각 노드 간 객체지향 상속의 개념을 표현할 수 있도록 의미망의 초기 관련값을 시소러스로 구축하였다. 또한, 의미망의 노드와 간선을 활성화시키고 활성값을 전파시키기 위해 사용되는 스프레딩 엑티베이션 방법의 단점을 보완하여 스프레딩 엑티베이션의 성능은 최대한 유지하면서 검색 속도를 향상 시킬 수 있는 방법을 제안하였다.