Key Laboratory of Education

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Key Laboratory of Education

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Zhang P.,Key Laboratory of Education | Zhang P.,Changchun University of Science and Technology | Dong K.,Key Laboratory of Education | Dong K.,Changchun University of Science and Technology | And 6 more authors.
Microwave and Optical Technology Letters | Year: 2014

A simple approach to generate stable microwave signals by heterodyning pump light and Stokes lasing light from a dual-wavelength Brillouin fiber laser is proposed and demonstrated. A 10-km-long single mode fiber is used as the Brillouin gain medium, and an ultranarrow linewidth distributed feedback laser is used as Brillouin pump, while a 4-m-long unpumped polarization maintaining erbium-doped fiber and subring cavity suppress unwanted side modes. A 10.7 GHz microwave signal is detected by photodetector and the signal linewidth is about 300 kHz. Signal to noise ratio of the microwave signal is about 50 dB. The power and frequency of microwave signal is highly stable, with almost no fluctuations over the test period. Copyright © 2014 Wiley Periodicals, Inc.

Chen J.,Shanghai JiaoTong University | Yang B.,Shanghai JiaoTong University | Yang B.,Key Laboratory of Education | Guan X.,Shanghai JiaoTong University
2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012 | Year: 2012

This paper proposes a Stackelberg game approach to deal with demand response (DR) scheduling under load uncertainty based on real-time pricing (RTP) in a residential setup. We formulate the optimization problems for the service provider that acts as the leader and for the users who are the multiple followers, respectively. We derive the Stackelberg Equilibrium (SE) consisting of the optimal real-time electricity price and each user's optimal power consumption. Simulation results show the proposed DR scheduling not only can control the total power consumption, but also is beneficial to the service provider's revenue. Moreover, the load uncertainty increases the service provider's revenue and decreases each user's payoff. © 2012 IEEE.

Liu H.,Huazhong University of Science and Technology | Liu H.,Key Laboratory of Education | Liu H.,Nanjing Central Hospital of Nanjing | Pan N.,Huazhong University of Science and Technology | And 7 more authors.
Journal of Digital Imaging | Year: 2013

Wireless capsule endoscopy (WCE) is a novel technology aiming for investigating the diseases and abnormalities in small intestine. The major drawback of WCE examination is that it takes a long time to examine the whole WCE video. In this paper, we present a new reduction scheme for WCE video to reduce the examination time. To achieve this task, a WCE video motion model is proposed. Under this motion model, the WCE imaging motion is estimated in two stages (the coarse level and the fine level). In the coarse level, the WCE camera motion is estimated with a combination of Bee Algorithm and Mutual Information. In the fine level, the local gastrointestinal tract motion is estimated with SIFT flow. Based on the result of WCE imaging motion estimation, the reduction scheme preserves key images in WCE video with scene changes. From experimental results, we notice that the proposed motion model is suitable for the motion estimation in successive WCE images. Through the comparison with APRS and FCM-NMF scheme, our scheme can produce an acceptable reduction sequence for browsing and examination. © Society for Imaging Informatics in Medicine 2012.

Liu H.,Huazhong University of Science and Technology | Liu H.,Key Laboratory of Education | Hung C.-C.,Southern Polytechnic State University | Hu H.,Huazhong University of Science and Technology | And 5 more authors.
Proceedings of the ACM Symposium on Applied Computing | Year: 2012

We develop an effective method for improving the segmentation result based on the Multi-Stencils Fast Marching method (MSFM). In MSFM, the gradient information of the image plays a vital role for calculating edges. It is straightforward to obtain the edge of good quality images; however, MSFM may not have robust edge maps available for images with spurious edges. Thus, a special multi-direction circumscribed circle filter is proposed to calculate the image gradient information which is then used in the MSFM. Using the new gradient information, better image contours can be obtained with MSFM. The size of the radius used in our circle filter is constant even the standard deviation of zero-mean Gaussian noise changes while the parameters of mean filter and Canny filter for gradient computation have to be correctly selected according to different noisy images. Our proposed method shows that it is effective through the experiments of image segmentation. © 2012 ACM.

Yu M.,Huazhong University of Science and Technology | Yu M.,Key Laboratory of Education | Huang Q.,Second Peoples Hospital of Nanning | Jin R.,Huazhong University of Science and Technology | And 6 more authors.
Proceedings of the ACM Symposium on Applied Computing | Year: 2012

Lesion segmentation plays an important role in medical image processing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradient is used as an important factor in the cost function to attract the contours to the boundaries. Since medical images have their characteristics such as low contrast, blurred edges and high noises, the gradient operator cannot work well enough to achieve a satisfactory performance for boundary detection. We define the local intra-class variance and combine it with the dynamic programming method to replace the traditional gradient operation. Experiments on synthetic and X-ray images are carried out and the results are compared with Canny and fast multilevel fuzzy edge detection (FMFED) algorithms. It is demonstrated that the proposed method performs better on medical images with low contrast, blurred edges and high noises. In addition, 483 regions of interest of mammograms randomly extracted from DDSM of the University of South Florida are used to compare our proposed method with the plane-fitting and dynamic programming method (PFDP), and the normalized cut segmentation method (Ncut). The results demonstrate that our method is more accurate and robust than PFDP and Ncut. © 2012 ACM.

Liao G.-R.,Huazhong University of Science and Technology | Liu Z.-Y.,Huazhong University of Science and Technology | Liu Z.-Y.,Key Laboratory of Education | Bi Y.,Huazhong University of Science and Technology
26th Chinese Control and Decision Conference, CCDC 2014 | Year: 2014

In practice, multi-skilled labor is widely used. There are constraints of available and unavailable time on those resources, and each resource possesses multiple different skills. For the resource attributes of multiple skills and time windows, it's extremely challenging to arrange the activities and allocate resources in project scheduling. Aimed at this kind of problems, a mathematic programming model is developed and a Rollout Algorithm based on priority rules is proposed. In order to allocate resources quickly, a heuristic method for resource allocation is embedded in the algorithm. The results of some numerical experiments indicate that the performance of the proposed algorithm could obtain the satisfactory solution of the problem and be suitable for solving the problems of large scale. It is verified that the algorithm is effective. © 2014 IEEE.

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