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HEPS-BPIX is a silicon pixel detector designed for the future large scientific facility, high-energy photon sources (HEPS) in Beijing, China. It is a high frame rate hybrid pixel detector which works in the single-photon-counting mode. High frame rate leads to much higher readout data bandwidth than former systems, which is also the difficulty of the design. Aiming to test and calibrate the pixel...
The research on human-computer Interaction (HCI) mode is mainly to improve the quality of interaction between user and computer. Due to differences in many aspects, such as physiology, experience and ability, most current interactive systems cannot meet the needs of elderly users. Based on existing theories and models, the paper combines the analysis results of sampling data, gives consideration to...
In this paper, we proposed an auto-generated two dimensional to three dimensional conversion system. We divided this architecture into two parts: In part one, we use Sobel edge detection [1] to segement the object for image of digital archives for classical antiques and document. Then, we used the Zhang and Suen thinning [2] to reduce the width of object's boundary to single pixel. After thinning,...
Algorithm design ability is the most fundamental and principal ability for students majoring in computer. Algorithm design courses give stress over abstraction, practice and creativity of the knowledge. Therefore, the difficulty in teaching is also increased to certain extent. With aim at the features of algorithm design courses, the thesis proposes that the principle of overall arrangement, good...
When a speaker stands in front of a projector screen for a presentation, the eyes will be hurt by the direct light from the digital projector. This paper proposes a design to reduce the strong light by projecting a black round mask on the speaker's head. The black round mask is superimposed to the slide frame by the software of this design and the mask traces the speaker's head. The depth camera captures...
Stock index forecasting is an important issue for investors and financial researchers as the movements of stock indices are nonlinear and subject to multiple factors. In this paper, we try to forecast the movements of Shanghai Composite Index using Generalized Autoregressive Condition Heteroskedasticity model. In order to increase accuracy, we introduced data mining technique and carried out forecast...
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