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Search Results: 1 - 10 of 34790 matches for " Xiaoqing Zhou "
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Analysis of Energy Consumption Scenarios of Building in Guangzhou in a Mid-Long Term  [PDF]
Lan Tang, Xiaoqing Zhou, Xin Yang
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.24045
Abstract: According to the year of 2009, calculated energy consumption quantity and energy consumption structure of building in Guangzhou to 2030, analyzed adjustment and approach of sustainable development and potential of energy conservation which can provide commendable technology progress in every department.
Introduction to China’s Green Finance System  [PDF]
Huan Peng, Xiaoqing Lu, Chaobo Zhou
Journal of Service Science and Management (JSSM) , 2018, DOI: 10.4236/jssm.2018.111009
In China, green finance has become a bright spot in the development of the financial industry. The pace of building a green financial system is accelerating. Relevant systems are gradually being established and perfected. China’s green finance business has achieved initial development in the past decade. Some policies such as green credit, green insurance and green securities have been issued one after another. This paper analyzes the current situation of China’s green financial system, the problems encountered in developing green finance and how to develop green finance better.
An Identified Study on the Active Network of a Thermoacoustic Regenerator  [PDF]
Guozhong Ding, Feng Wu, Gang Zhou, Xiaoqing Zhang, Jiuyang Yu
Engineering (ENG) , 2009, DOI: 10.4236/eng.2009.11003
Abstract: An active thermo-acoustic network model of regenerator which is a key component to accomplish the con-version between thermal-and acoustic power in thermo-acoustic system has been established in this paper. The experiment was carried out to quantify the network. A method called least square is employed in order to identify the H matrix describing the system. The results obtained here show that the active thermo-acoustic network can reliably depict the characteristics of a thermo-acoustic system.
Energy Gap and Spin Polarization in the 5/2 Fractional Quantum Hall Effect
S. Das Sarma,G. Gervais,Xiaoqing Zhou
Physics , 2010, DOI: 10.1103/PhysRevB.82.115330
Abstract: We consider the issue of the appropriate underlying wavefunction describing the enigmatic 5/2 fractional quantum Hall effect (FQHE), the only even denominator FQHE unambiguously observed in a single layer two dimensional (2D) electron system. Using experimental transport data and theoretical analysis, we argue that the possibility of the experimental 5/2 FQH state being not fully spin-polarized cannot be ruled out. We also establish that the parallel field-induced destruction of the 5/2 FQHE arises primarily from the enhancement of effective disorder by the parallel field with the Zeeman energy playing an important quantitative role.
Structures of not-finitely graded Lie algebras related to generalized Heisenberg-Virasoro algebras
Guangzhe Fan,Chenhong Zhou,Xiaoqing Yue
Mathematics , 2014,
Abstract: In this paper, we study the structure theory of a class of not-finitely graded Lie algebras related to generalized Heisenberg-Virasoro algebras. In particular, the derivation algebras, the automorphism groups and the second cohomology groups of these Lie algebras are determined.
Adipic acid–2,6-bis(1H-benzimidazol-2-yl)pyridine–water (1/2/4)
Songzhu Lin,Ruokun Jia,Feng Gao,Xiaoqing Zhou
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812047861
Abstract: The asymmetric unit of the title hydrated co-crystal, 2C19H13N5·C6H10O4·4H2O, consists of one 2,6-bis(1H-benzimidazol-2-yl)pyridine molecule, half of an adipic acid molecule (bisected by an inversion center) and two water solvates. In the crystal, N—H...O, O—H...O and O—H...N hydrogen bonds and π–π interactions [centroid–centroid distances = 3.769 (2) and 3.731 (2) ] form a three-dimensional supramolecular structure.
An Efficient Local Search for the Feedback Vertex Set Problem
Zhiqiang Zhang,Ansheng Ye,Xiaoqing Zhou,Zehui Shao
Algorithms , 2013, DOI: 10.3390/a6040726
Abstract: Inspired by many deadlock detection applications, the feedback vertex set is defined as a set of vertices in an undirected graph, whose removal would result in a graph without cycle. The Feedback Vertex Set Problem, known to be NP-complete, is to search for a feedback vertex set with the minimal cardinality to benefit the deadlock recovery. To address the issue, this paper presents NewkLS FVS(LS, local search; FVS, feedback vertex set), a variable depth-based local search algorithm with a randomized scheme to optimize the efficiency and performance. Experimental simulations are conducted to compare the algorithm with recent metaheuristics, and the computational results show that the proposed algorithm can outperform the other state-of-art algorithms and generate satisfactory solutions for most DIMACSbenchmarks.
Remote information concentration by GHZ state and by bound entangled state
Yafei Yu,Xiaoqing Zhou,Jian Feng,Mingsheng Zhan
Physics , 2002, DOI: 10.1103/PhysRevA.68.024303
Abstract: We compare remote information concentration by a maximally entangled GHZ state with by an unlockable bound entangled state. We find that the bound entangled state is as useful as the GHZ state, even do better than the GHZ state in the context of communication security.
Disentangling and broadcasting an entangled state simultaneously by asymmetric cloning
Yafei Yu,Jian Feng,Xiaoqing Zhou,Mingsheng Zhan
Physics , 2002,
Abstract: We construct a quantum machine which, by using asymmetric cloner, deals with disentangling and broadcasting entanglement in a single unitary evolution. The attainable maximum value of the scaling parameter $s$ for disentangling is identical to that obtained in previous works. The fidelity of the cloning state with respect to the input entangled state is state-dependent.
Medical image fusion based on pulse coupled neural networks and multi-feature fuzzy clustering  [PDF]
Xiaoqing Luo, Xiaojun Wu
Journal of Biomedical Science and Engineering (JBiSE) , 2012, DOI: 10.4236/jbise.2012.512A111

Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, noninvasive diagnosis, and treatment planning. In order to retain useful information and get more reliable results, a novel medical image fusion algorithm based on pulse coupled neural networks (PCNN) and multi-feature fuzzy clustering is proposed, which makes use of the multi-feature of image and combines the advantages of the local entropy and variance of local entropy based PCNN. The results of experiments indicate that the proposed image fusion method can better preserve the image details and robustness and significantly improve the image visual effect than the other fusion methods with less information distortion.

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