Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： In this study, we systematically researched and comprehensively analyzed dominant plants in typical deserts in China, including Tarim Basin, Junggar Basin, Horqin Sandy land, and Hunshandak Sandy land, and revealed the characteristics of stress adaptation and stable restoration of dominant vegetation, and proposed the sustainable management technology of vegetation. The results are shown as the followings. (1) Desert plant roots remain connected to underground diving or soil capillary water. It is of great significance to maintain reasonable ecological water use and stable groundwater table for the restoration and conservation of dominant woody plants in these regions. (2) The shallow soil water formed by groundwater, snowmelt, and rainfall is the main water source of Haloxylon ammodendron (C. A. Mey.). It is of great significance for the restoration and conservation of H. ammodendron to make full use of the natural law of seasonal change of precipitation and the renewal of H. ammodendron to form scientific and reasonable planting technical measures. (3) Closure protection plays an important role in the stable restoration of dominant vegetation in desert (sandy land). The results can provide scientific basis and technical supports for the restoration and optimal management of dominant vegetation in the oasis-desert transition zone in arid region.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-18 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the bandwidth allocation problems in virtual networks, this paper presented an adaptive bandwidth allocation algorithm based on two stage controller system. The controller system consisted of a set of SP controllers including VN sub-controllers and InP controllers. Firstly, the performance for each VN at every control interval could be locally approximated by a linear model in order to find the relationship between its past and current bandwidth allocation and its past performances in terms of packet delays. Then, basing on the physical link capacity constraints, the system was response of the requested bandwidth from each VN and adjusted dynamicly in order to achieve flexible distributed autonomous control of the reasonable bandwidth allocation to each VN. The simulation results show that the proposed algorithm can not only allocate the available link capacity reasonably and dynamiclly among multiple VNs, but also can improve the availability for total bandwidth and the fairness for bandwidth allocation to meet the QoS requirement of each VN.
Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2017-12-07 Cooperative journals: 《南方医科大学学报》
Abstract： A novel medical automatic image segmentation strategy based on guided filtering and multi-atlas is proposed to achieve accurate, smooth, robust, and reliable segmentation. This framework consists of 4 elements: the multi-atlas registration, which uses the atlas prior information; the label fusion, in which the similarity measure of the registration is used as the weight to fuse the warped label; the guided filtering, which uses the local information of the target image to correct the registration errors; and the threshold approaches used to obtain the segment result. The experimental results showed part among the 15 brain MRI images used to segment the hippocampus region, the proposed method achieved a median Dice coefficient of 86% on the left hippocampus and 87.4% on the right hippocampus. Compared with the traditional label fusion algorithm, the proposed algorithm outperforms the common brain image segmentation methods with a good efficiency and accuracy.
Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2017-12-07 Cooperative journals: 《南方医科大学学报》
Abstract： Objective We propose a multi-weighted probabilistic atlas to obtain accurate, robust, and reliable segmentation. The local similarity measure is used as the weight to compute the probabilistic atlas, and the distance field is used as the weight to incorporate the locality information of the atlas; the self-similarity is used as the weight to incorporate the local information of target image to refine the probabilistic atlas. Experimental results with brain MRI images showed that the proposed algorithm outperforms the common brain image segmentation methods and achieved a median Dice coefficient of 87.1% on the left hippocampus and 87.6% on the right.
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