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Chinese traditional visual culture symbols (CT-VCSs) is formed in the tradition and has the characteristic of Chinese unique ideological and cultural connotation. It is a visual cultural heritage of Chinese culture. So the research on CT-VCSs has important practical significance. In this paper, it is mainly about the recognition and classification of CT-VCSs based on machine learning. We make use...
Here we report the recent advances towards the ferroelectric field-effect on Ge(001). We will demonstrate carrier density modulation in the underlying Ge(001) substrate by switching the ferroelectric polarization in the epitaxial c-axis-oriented BaTiO3 on Ge. Recent results of patterning BaTiO3 for device applications and electrical properties of Pt/BTO/Ge heterostructures will be addressed.
This paper analyzes a compensating control strategy for stable energy output of the novel direct drive wave energy generator. We propose a compensating control structure based on the unstable second-order linear dynamics for the direct drive wave energy generator, and the dynamics are derived by the on-line system identification method. In the control strategy, we design a servo compensator located...
Nowadays, the problem of mobile digital copyright protection becomes more and more serious, the number of mobile client and small-sized system is growing. In such a situation, this paper proposed an authentication and authorization solution which based on Kerberos for tens of thousands users. This paper introduced every links of permission describe method and authentication protocol which composed...
The paper summarized 13 classic methods of visual tracking and 9 methods combined with convolutional neural networks including some latest trackers and compared all these trackers in the same benchmark. After analyzing the results, we had some new idea for existing trackers.
Globalization is a historic chance for China development. Moreover, Chinese traditional Visual Cultural Symbols (VCS) is a great tag of China. Image is a carrier of VCS. With the help of machine learning, we can recognize these VCS among numerous images very well. In this paper we propose combining with several features such as SIFT, HOG, RGB, LBP to describe an image and coding these features into...
Chinese Traditional Visual Cultural Symbols(CT-VCSs) is the important component of Chinese ancient civilization, and it is the crystallization of Chinese culture with a history of several thousand years. So it has great significance to research CT-VCSs. In this paper, we mainly research the recognition and classification of CT-VCSs based on Convolutional neural network(CNN). We mainly use Caffenet...
The study of AC-DC matrix converter under unbalanced power grid is mostly focused on the suppression of the two harmonic of output voltage. In this paper, the voltage type AC-DC matrix converter under unbalanced power network is studied, focusing on the control of the three-phase current in the grid side and the predictive unbalance control strategy with negative sequence voltage compensation is proposed...
Machine learning methods are main stream algorithms applied in short term load forecasting. However, typical machine learning methods consisting of Artificial Neural Network (ANN) and Support Vector Regression (SVR) have deficiencies hard to overcome, such as easy to be trapped in local optimization (for ANN) or hard to decide kernel parameter and penalty parameter (for SVR). On the other hand, grey...
This paper presents the forecasting algorithms for determining the electricity usage and operation status of residential heating, ventilating, and air conditioning (HVAC) systems. Two algorithms are presented based on what types of measured data can be received by the home energy management system (HEMS). Algorithm 1 is developed assuming only HVAC status is available to forecast the future HVAC usage...
Advances have been made continuously in detection networks such as SPPnet and Fast R-CNN. Recently the novel region proposal method RPN shares full-image convolutional features with the detection network and enables a state-of-the-art object detection network Faster R-CNN. In this work we apply Faster R-CNN to train a detection network on our digital image database of books and implement automatic...
The research of facial beauty is an interdisciplinary topic involved in psychology, aesthetics, computer version and machine learning. In this paper, we propose several methods to assess facial beauty under unconstrained conditions. Our main works are as follows: First, we apply the local binary pattern (LBP) descriptor in different bins for face representation. We tried different types of LBP methods...
The content-based image recognition is a research focus in the field of computer vision. Machine learning especially deep learning has a great potential in the field of image recognition. This paper adopts the support vector machine algorithm and deep learning method convolutional neural network to recognize books in the digital image library and compares their performance. Experiments show that both...
Visual cultural symbol (VCS) is common around us, and it's very important for cultural study. Especially, it's useful and efficient if we can study VCS through CS. In the Internet, Mostly VCS display as an image. Machine learning is emerging, but image recognition is focused on face or man detective, it's lack of VCS recognition study. Content based image classification techniques are gaining increasing...
Gradient domain optimization is widely used in regularized image super-resolution, in which the gradient of high resolution (HR) is estimated for calculating the regularization energy. In this paper, a progressive gradient estimation (PGE) is proposed. In PGE, the gradient of the reconstructed HR image in the previous round of optimization is taken as the estimated gradient in the current round. Then,...
We present the design and experimental results of near-field scanning microwave impedance microscopy (MIM). By sending the excitation 1GHz signal to a shielded cantilever probe and detecting the reflected signal, the MIM electronics measure the real and imaginary components of the tip-sample admittance to form the corresponding MIM-Re and MIM-Im images. The system can be installed on commercial atomic-force...
In order to improve the efficiency and reliability of the phase conversion process of three-phase current source rectifier (CSR), in this paper, the traditional space vector pulse width modulation (SVPWM) strategy of the six sectors for three-phase CSR is changed into a novel SVPWM strategy of the twelve sectors. And by changing the synthesis sequence of effective vector, the power tube which is not...
Machine learning methods are the main stream algorithms applied in short term load forecasting. However, typical machine learning methods consisting of Artificial Neural Network (ANN) and Support Vector Regression (SVR) have deficiencies hard to overcome, such as easy to be trapped in local optimization (for ANN) or hard to decide kernel parameter and penalty parameter (for SVR). On the other hand,...
Peking Opera facial makeup is a form of art, which is also a form of handicraft art. Mapping Peking Opera facial makeup onto human faces in images could let more people get access to Peking Opera, which is a meaningful way to bring the traditional art into digital world. Some researches built vector-based libraries of the patterns of the facial makeup and covered the facial makeup onto human faces...
Considering the requirement for a more objective result of image retrieval, the features of image itself attract more and more attentions of researchers. Recently, the shape context of images is widely applied in image matching for its good invariance of translation and scale, as well as its good robust for small geometric distortion. Thus, the features of shape context are introduced in this paper...
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