• 전기학회논문지P
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• 제56권4호
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• pp.173-178
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• 2007

As development of industry is accelerated, most electricity load system requires power supply that could be high precision and effective control. Among supply and control unit of suitable power supply in these load characteristic, inverter systems of constant current regulate is used widely control of lighting & beaconing of aerodromes and electric heating system. Therefore, in this paper proposed a inverter systems of constant current regulate that using improved measurement and switching techniques. Proposed measure techniques that used moving average method of instantaneous r.m.s. for measuring current sensing improved response and precision. Also, in this paper proposed improved high effectiveness switching techniques that get high efficiency of inverter by the double-carrier modulation. Results of an experiment proved effect of proposed system.

• 한국전산구조공학회논문집
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• 제15권3호
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• pp.409-420
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• 2002

본 논문에서는 상시진동계측 결과를 활용하여 교랑의 이동하중해석을 수행하기 위한 구조재해석 기법을 제시하였다. 구조재해석을 위해 필요한 실구조물의 고유진동수와 모우드 형상은 직접퓨리에 분석을 통해 구하고, 감쇠비는 Random Decrement기법을 이용하는 방법을 사용하였다. 또한, 계측 모우드 형상을 구조재해석에 필요한 자유도로 보간하기 위한 보간법을 제시하였다. 더불어, 제시된 구조재해석기법을 이동질량 모형에 기초한 주행하중 해석에 적용하여 이를 직접 해석한 결과와 비교하였다 해석결과는 상시진동 계측의 결과만을 이용하여 수행된 구조재해석 결과도 교량의 실제 응답을 잘 표현할 수 있음을 보여주고 있다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.911-915
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• 2004

Recently, several experimental techniques for identifying the noise sources distributed over a moving vehicle are being developed and used in order to design a low noise vehicle. The beamforming method, which uses phase information between several microphones to localize the source position, is proved to be one of the promising techniques applicable even under complicated test environments. In this study a beamforming algorithm is developed and applied to measure the dominant noise sources on a passenger car moving at constant speed. Unlike the acoustic signals from a stationary noise source, the sound generated from a moving source is distorted due to the Doppler effects. The sound pressure are measured with an spiral array system composed of 26 microphones and a pair of photo sensors are used to measure the. vehicle speed. The information about the speed and relative position of the vehicle are used to eliminate the Doppler effects from the measured pressure signal by using a de-Dopplerization algorithm. The noise generated from a moving vehicle can be grouped in many ways, however, tire noise and the noise generated from the engine are distinguishable at the speeds being tested.

• 한국정보과학회논문지:데이타베이스
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• 제31권5호
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• pp.492-504
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• 2004

최근 위치 기반 서비스 기술에 관한 관심이 증가하면서, 시간에 따라 연속적으로 변하는 이동 객체에 관한 많은 연구들이 활발하게 수행되고 있다. 또한 이 시스템들이 자주 사용되는 질의 처리 기법 중 하나인 최근접(nearest neighbor, NN) 질의에 대한 연구도 다양하게 수행되고 있다. 그러나, 기존의 최근접 질의 처리 기법들은 질의와 객체가 이동하면 그들이 결과가 유효하지 않게 되므로, LBS를 위한 이동객체 관리 시스템에는 적합하지 않을 수 있다. 이러한 문제들을 해결하기 위해서 이동객체에 대한 정확하고 연속적인 질의 처리가 가능한 새로운 최 근접 질의 처리 기법을 제안하였으며, 이를 연속 궤적 최근접(continuous trajectory NN, CTNN) 질의라 부른다. 이 논문에서는 빠른 응답 시간을 얻기 위한 근사 연속 궤적 최근접(approximate CTNN, ACTNN) 질의 처리 기법과 정확한 최근접 탐색을 가능하게 하는 정확 연속 궤적 최근접(exact CTNN, ECTNN) 질의 처리 기법을 제안하였다. 우리는 여러 데이타 셋을 기반으로 실험을 하였으며, 실험결과는 제안된 ECTNN 기법의 경우 정확도는 상당히 높은 반면, 응답시간은 약간 낮은 성능을 보였다 또한 ACTNN 기법의 경우 정확도는 ECTNN 기법에 비해 낮은 반면, 응답시간은 높은 성능을 보였다. 제안된 기법들은 항해 시스템, 교통 통제 시스템, 물류정보 시스템 등 각종 위치 기반 서비스에 다양하게 사용될 수 있고, 특히 질의 객체와 데이타 객체가 모두 이동 점 객체이면서 이들의 궤적 정보를 미리 파악할 수 있는 경우에 가장 적합하다.

• 한국통신학회논문지
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• 제11권1호
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• pp.1-15
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• 1986

Optic flow는 이동물체표면의 3차원 속도를 영상판(image plane)에 투영시킨 2차원 속도이다. 본 논문은 이 동물체의 연속영상으로부터 optic flow 를 구하는 기술들을 조사분석하고 정해진 optic flow로부터 물체의 인식 및 3차원 속도를 결정하는 기술들을 논하였다. 연속영상으로부터 구해진 optic flow는 영상압축기술인 영상간 부호(inter-frame image coding)에 해당되며 컴퓨터비젼 시스템(computer vision system)에서 이동물체 인식에 사용된다.

• Coupled systems mechanics
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• 제1권3호
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• pp.235-245
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• 2012

The nonlinear resonant response of an axially moving beam is investigated in this paper via two different numerical techniques: the pseudo-arclength continuation technique and direct time integration. In particular, the response is examined for the system in the neighborhood of a three-to-one internal resonance between the first two modes as well as for the case where it is not. The equation of motion is reduced into a set of nonlinear ordinary differential equation via the Galerkin technique. This set is solved using the pseudo-arclength continuation technique and the results are confirmed through use of direct time integration. Vibration characteristics of the system are presented in the form of frequency-response curves, time histories, phase-plane diagrams, and fast Fourier transforms (FFTs).

• 대한기계학회논문집B
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• 제25권4호
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• pp.593-599
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• 2001

A flow analysis is performed in the present study for the moving body problem by proposing a mesh transformation method for the movement of the body in the fluid medium. Unlike other moving mesh techniques, a mesh itself is not moving but changes its property as time marches in a mesh transformation method. The flow field results are compared with those by other moving mesh technique, and showed good agreements. The movement of a floatable body in the flow field caused by the moving body is also studied in the present study by using a mesh transformation technique and a fluid/structure interaction method.

• 한국산업정보학회논문지
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• 제17권2호
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• pp.73-80
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• 2012

산업자동화를 위한 영상처리기술을 활용하여 금속 표면 검사 공정의 육안 검사를 대체하기 위한 장치개발이 요구된다. 본 논문에서는 압연 공정의 금속 판재 표면의 결함을 탐지하기 위하여 이동평균 영상처리기법을 적용한 정밀측정시스템을 제안하였다. 금속 판재의 압연 처리 과정에서 발생하는 표면 패턴이 결함으로 판정될 수 있다. 이러한 경우에 대하여 제안한 시스템을 적용하여 금속 판재 표면의 실제 결함의 수를 측정할 수 있었고 FFT방법에 의한 측정치에 비하여 양호한 결과를 얻었다.

• Journal of Mechanical Science and Technology
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• 제15권3호
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• pp.300-308
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• 2001

Tracking of moving objects within video streams is a complex and time-consuming process. Large number of moving objects increases the time for computation of tracking the moving objects. Because of large computations, there are real-time processing problems in tracking of moving objects. Also, the change of environment causes errors in estimation of tracking information. In this paper, we present a new method for tracking of moving objects using optical flow motion analysis. Optical flow represents an important family of visual information processing techniques in computer vision. Segmenting an optical flow field into coherent motion groups and estimating each underlying motion are very challenging tasks when the optical flow field is projected from a scene of several moving objects independently. The problem is further complicated if the optical flow data are noisy and partially incorrect. Optical flow estimation based on regulation method is an iterative method, which is very sensitive to the noisy data. So we used the Combinatorial Hough Transform (CHT) and Voting Accumulation for finding the optimal constraint lines. To decrease the operation time, we used logical operations. Optical flow vectors of moving objects are extracted, and the moving information of objects is computed from the extracted optical flow vectors. The simulation results on the noisy test images show that the proposed method finds better flow vectors and more correctly estimates the moving information of objects in the real time video streams.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.9-21
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• 2020

The aim of this paper is to predict the Borsa Istanbul (BIST) 30 index movements to determine the most accurate buy and sell decisions using the methods of Artificial Neural Networks (ANN) and Genetic Algorithm (GA). We combined these two methods to obtain a hybrid intelligence method, which we apply. In the financial markets, over 100 technical indicators can be used. However, several of them are preferred by analysts. In this study, we employed nine of these technical indicators. They are moving average convergence divergence (MACD), relative strength index (RSI), commodity channel index (CCI), momentum, directional movement index (DMI), stochastic oscillator, on-balance volume (OBV), average directional movement index (ADX), and simple moving averages (3-day moving average, 5-day moving average, 10-day moving average, 14-day moving average, 20-day moving average, 22-day moving average, 50-day moving average, 100-day moving average, 200-day moving average). In this regard, we combined these two techniques and obtained a hybrid intelligence method. By applying this hybrid model to each of these indicators, we forecast the movements of the Borsa Istanbul (BIST) 30 index. The experimental result indicates that our best proposed hybrid model has a successful forecast rate of 75%, which is higher than the single ANN or GA forecasting models.