The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle reconstruction is very time-consuming. We design and implement a new parallel speckle masking reconstruction algorithm based on the Compute Unified Device Architecture (CUDA) on General Purpose Graphics Processing Units (GPGPU). Tests are performed to validate the correctness of our program on NVIDIA GPGPU. Details of several parallel reconstruction steps are presented, and the parallel implementation between various modules shows a significant speed increase compared to the previous serial implementations. In addition, we present a comparison of runtimes across serial programs, the OpenMP-based method, and the new parallel method. The new parallel method shows a clear advantage for large scale data processing, and a speedup of around 9 to 10 is achieved in reconstructing one solar subimage of 256×256 pixels. The speedup performance of the new parallel method exceeds that of OpenMP-based method overall. We conclude that the new parallel method would be of value, and contribute to real-time reconstruction of an entire solar image.

본 논문에서는 해양구조물에 작용되는 파력을 산정하고 구조 불 유동의 상호작용올 해석하기 위하여 유통장을 유한요소법으로 모형화하여 해석할 때에， 효과적으로 적용될 수 있는 유체의 3차원 무한요소를 개발하였다 유동의 수식화는 선형파동이론에 근기하였고， 구조물의 크기가 비교적 큰 경우를 대상으로 함으로써 유통의 관성력항이 지배적이 므 로， 점성저항력의 영향을 무시하였다. 유동의 지배방정식이 속도포 텐셜에 대한 라플라스 방정식으로 주어지고， 구조물의 표면， 수연 빛 해저면을 경계로 하여， 수평방향으로 논 무한대로 펼쳐진 영역에서 정의된 문 제를 효과적으로 해석하기 위하여， 두 종류의 유동요소를 개발하였 다. 하나는 무 한원방향으로 방사되는 파를 모형화 하기위한 무한 요소이며， 다른 하나는 심해조건에서 유용하게 적용될 수 있는 가상바닥경계요소이다 본 연구에서 제안한 유통요소뜰 의 유용성과 효융성은 여러가지의 부 유식 해양구조물에 대한 예제해석올 통하여 입증하였다 같은 예제에 대하여 다른 방볍으로 해석한 타 문 현상의 결과와 비교할 때， 본 연구에서 개발한 유동요소를 사용한 방볍이 매우 좋은 결과를 줌올 얄 수 있었다

The color and structure of urban constructions is a factor of urban landscape and shows their characteristics. Hence the modern buildings deal with their materials and external appearance as an important factor, making up the urban image. But it was nearby impossible to evaluate the value of visual landscape with objective measuring method. Most of all, it depends on the subjective estimation of a few talented or high educated experts with a sense of beauty. Such kinds of estimation can in some cases include arbitrary interpretations. In relation to this kind of problems, it is tried here in this study to analyse the human response of brain wave pattern (EEG) with use of SD method, while the tested persons watch the urban landscape scenery constructed in a visual reality. The tested persons were 20 adult male and female with no color blindness and intact cognitive function. Light source with color filter was used for color environment in a dark soundproof chamber. The signal of EEG is analysed digitally and grouped into the α and β waves. The result showed that relative power of α wave ratio increased in the natural landscape scenery with blue and green color. From these results it was possible to evaluate the human response, which is affected by urban and natural color and structure stimulation and it might be useful as an indicator of visual cognition amenity toward the design of urban construction environment.