• 소성∙가공
• /
• 제5권4호
• /
• pp.343-352
• /
• 1996

One of the preferred methods that can be used to verify the results of finite element analysis is to measure surface strains of the deformed part for purpose of direct comparison with simulation results. Instead of using the usual manual method the vision-based measurement method is capable of determining surface geometry and strain from the deformed grid pattern automatically with the help of a computer. To obtain strain distribution over an area, the coordinates of such a surface grid are determined from the multiple video images by applying the photogrammetry principle. Methods to improve the overall accuracy of the vision-based strain measurement system are explored and the possible accuracies that can be attained by such a measurement method are discussed. A major emphasis is placed on the initial grid application method its accuracy and ease of subsequent image processing. Finite element analyses of limiting dome height(LDH) test are carried out and the results of them are compared with exsperimen-tal data.

• Journal of Power Electronics
• /
• 제15권1호
• /
• pp.278-287
• /
• 2015

This paper proposes a novel voltage distortion approach for output filter design based on the voltage transfer function for both off-grid and grid-connected Pulse Width Modulation (PWM) Inverters. The method explained in detail is compared to conventional methods. A comparative analysis is performed on an example of L and LCL-filter design. Simulation and experimental results for the off-grid and the grid-connected single phase inverter prove our theoretical predictions. It was found that conventional methods define redundant values of the output filter elements. Assumptions and limitations of the proposed approach are also discussed.

• International Journal of CAD/CAM
• /
• 제8권1호
• /
• pp.63-67
• /
• 2009

This paper puts forward a method based on the boundary deformation for planar grid generation. Many methods start with the special properties of grid and switch to the solution of a direct optimization or a non-linear minimum cost flow. Though with high theoretical significance, it's hard to realize due to the extremely complicated computing process. This paper brings out the automatic generation of planar grid by studying the boundary deformational properties of planar grid, which leads to uniform grid and enjoys the simplicity of computation and realization.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2004년도 추계학술대회 논문집
• /
• pp.1496-1499
• /
• 2004

The paper persents an efficient method of extracting line segment in a grid map. The grid map is composed of 2-D grids that have both the occupancy and orientation probabilities based on the simplified Bayesian updating model. The probabilities and orientations of cells in the grid map are continuously updated while the robot explorers to their values. The line segments are, then, extracted from the clusters using Hough transform methods. The eng points of a line segment are evaluated from the cells in each cluster, which is simple and efficient comparing to existing methods. The proposed methods are illustrated by sets of experiments in an indoor environment.

• 한국정보처리학회논문지
• /
• 제2권4호
• /
• pp.592-602
• /
• 1995

자동 배선 시스템의 배선영역 모델링 방법은 논-그리드(non-grid)와 그리드 방식 을 사용하고 있다. 본 논문에서는 라우팅 속도를 개선하기 위해 논-그리드와 그리드 방식을 혼합하여 자동 배선 시스템을 개발 하였다. 그리드방식은 PCB상에 전기적, 물 리적 요소들이 적다 할지라도 보드와 그리드의 크기에 제약을 받기 때문에 메모리가 많아지게 되어 자동 배선 속도를 감소시키는 단점을 가지고 있고, 논-그리드 방식은 shape-based 방식의 영역 처리방식을 사용하므로 메모리를 상당히 적게 소요된다. 그러므로 본 논문에서는 논-그리드 방식과 그리드 방식을 적용하여 초기 배선시에는 전자를 적용해 속도를 개선시켰고, 초기 배선시 연결되지 않은 배선은 후자를 적용해 서 완전한 배선이 이루어 질 수 있도록 하였다. 따라서, 본 시스템을 이와 같은 방식 을 이용하여 IBM 486DX2-66 컴퓨터의 Windows NT 환경하에서 Borland C＋＋로 개발하 였다.

• Journal of Information Processing Systems
• /
• 제19권3호
• /
• pp.302-309
• /
• 2023

Artificial intelligence (AI) plays a crucial role in the intelligent development of China's power system. It is also an important part of the digital development of the power grid. The development of AI determines whether the digital transformation of China's power system can be successfully implemented. Therefore, this paper discusses the digital transformation of the power grid based on AI technologies. The author has established a digital evaluation index system to reflect the development of the power grid in one province. Both qualitative and quantitative methods have been adopted in the analysis, which delves into the economic effectiveness, quality, and coordination of power grid development in the province in a comprehensive way. Results show that, to meet the needs of the power grid's digital transformation, the correlation coefficient between the power grid's development and the province's overall coordination has been increasing in recent years.

• Journal of Electrical Engineering and Technology
• /
• 제9권6호
• /
• pp.1822-1831
• /
• 2014

Micro-grid is connected to the main power grid through a static switch. One of the critical issues in micro-grids is protection which must disconnect the micro-grid from the network in short-circuit contingencies. Protective methods of micro-grid mainly follow the model of distribution system protection. This protection scheme suffers from improper operation due to the presence of single-phase loads, imbalance of three-phase loads and occurrence of power swings in micro-grid. In this paper, a new method which prevents from improper performance of static micro-grid protection is proposed. This method works based on artificial neural network (ANN) and able to differentiate short circuit from power swings by measuring impedance and the rate of impedance variations in PCC bus. This new technique provides a protective system with higher reliability.

• 한국컴퓨터정보학회논문지
• /
• 제13권3호
• /
• pp.169-177
• /
• 2008

그리드 컴퓨팅 환경에서 컴퓨팅 자원은 매우 다양한 네트워크와 시스템으로 구성되어 있다. 이기종의 환경에서 기존의 자원선택 기법으로 사용자가 원하는 자원을 검색 및 선택하는 것은 자원정보의 저장 구조상 한계가 있다. 본 논문은 사용자의 요구사항과 데이터 특성에 맞는 자원을 선택하기 위해 그리드 자원을 온톨로지로 구축하고, SWRL을 이용하여 정의한 규칙을 바탕으로 추론 엔진을 거쳐서 자원을 선택 및 제공하는 온톨로지 기반의 그리드 자원선택시스템을 제안한다. 실험 결과는 본 논문에서 제안한 온톨로지 기반의 그리드 자원선택 시스템이 기존 그리드 자원선택 시스템인 Condor-G와 Nimrod-G 보다 더 높은 작업 처리율 및 자원 이용률과 적은 작업 손실 및 처리 시간을 보임으로써 그리드 자원선택을 지능적이며 능동적으로 할 수 있고, 자원 이용에 더 효과적이라는 사실을 증명한다.

• 디지털융복합연구
• /
• 제11권2호
• /
• pp.299-307
• /
• 2013

본 논문은 SIFT-Grid 기반의 얼굴 인식 시스템에서 식별 능력의 향상과 계산량 감소를 목적으로 한다. 첫번째는 한 얼굴 클래스의 다양한 훈련 이미지로부터 비슷한 SIFT 특징점들은 제거하고, 상이한 특징점들은 병합하는 통합템플릿의 구성 방법을 제안한다. 통합템플릿은 SIFT-Grid를 통해 나누어진 훈련 이미지들의 동일 부분영역 내의 특징점들에 대한 유사도 행렬의 계산과 임계치 기반의 히스토그램의 계산을 통해 구성하였다. 두 번째는 구성된 통합템플릿들로부터 테스트 이미지의 효과적인 식별을 위한 유사도 계산 방법을 제안한다. 유사도의 계산은 테스트 이미지와 각 클래스의 통합템플릿간의 일대일 비교로 수행된다. 이때 동일 부분영역 별로 유사도 점수와 임계치 기반의 보팅 점수가 계산된다. 얼굴 인식 작업에 대한 실험 결과 제안된 방법이 SIFT-Grid 기반의 다른 두 방법보다 정확한 것으로 확인 되었고, 또한 계산량도 감소하였다.

• International Journal of Advanced Culture Technology
• /
• 제2권2호
• /
• pp.7-10
• /
• 2014

In order to develop smart grid communications infrastructure, a high level of interconnectivity and reliability among its nodes is required. Sensors, advanced metering devices, electrical appliances, and monitoring devices, just to mention a few, will be highly interconnected allowing for the seamless flow of data. Reliability and security in this flow of data between nodes is crucial due to the low latency and cyber-attacks resilience requirements of the Smart Grid. In particular, Artificial Intelligence techniques such as Fuzzy Logic, Bayesian Inference, Neural Networks, and other methods can be employed to enhance the security gaps in conventional IDSs. A distributed FPGA-based network with adaptive and cooperative capabilities can be used to study several security and communication aspects of the smart grid infrastructure both from the attackers and defensive point of view. In this paper, the vital issue of security in the smart grid is discussed, along with a possible approach to achieve this by employing FPGA based Radial Basis Function (RBF) network intrusion.