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Search Results: 1 - 10 of 6561 matches for " Junli Xiong "
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Research on management system of power grid construction project conflict
Caiqing Zhang, Junli Xiong
Advanced Management Science , DOI: 10.7508/AMS-V2-N2-104-112
Abstract: Because the power grid construction project has characteristics such as social, systematic and public, which are different from other products, Ppower grid construction’ s contradictions, disputes and conflicts are similar to the social management has appeared. In order to make the different stakeholders find their proper positions and key actors do their best, we have to fully consider the different interests of different groups and the ability of complementarity in the power grid construction management system to achieve the overall goals of the win-win interests that elaboration and decomposition process. To solve these problems, only rely on the power supply enterprise will bring the wasted effort.. Therefore, these papers takes example by the theory of organization structure design and stakeholder theory, fully consider stakeholders that based on the broad electricity customer interests, and constructs the social management system of power grid construction, it is of important theoretical value and practical significance to solve the power grid construction contradictions, disputes and conflicts, realize the harmony and stability of power grid construction management.
Global stability for delay SIR epidemic model with vertical transmission  [PDF]
Junli Liu, Tailei Zhang
Open Journal of Applied Sciences (OJAppS) , 2012, DOI: 10.4236/ojapps.2012.24B001
Abstract: A SIR epidemic model with delay, saturated contact rate and vertical transmission is considered. The basic reproduction number is calculated. It is shown that this number characterizes the disease transmission dynamics: if, there only exists the disease-free equilibrium which is globally asymptotically stable; if, there is a unique endemic equilibrium and the disease persists, sufficient cond- itions are obtained for the global asymptotic stability of the endemic equilibrium.
4-D parameter estimation of narrowband sources based on parallel factor analysis
JunLi Liang
Chinese Science Bulletin , 2008, DOI: 10.1007/s11434-008-0271-z
Abstract: A novel algorithm is presented in this paper to jointly estimate frequency, two-dimensional (2-D) direction-of-arrival (DOA), and range of near-field narrowband sources. The proposed method extends the parallel factor (PARAFAC) analysis model from the common data-and subspace-domain to the cumulant one, and forms three-way arrays by using the five cumulant matrices obtained from the array outputs, and analyzes the uniqueness of low-rank decomposition of the three-way arrays, then jointly estimates source parameters via the low-rank decomposition. In comparison with the conventional methods, the proposed method alleviates the loss of the array aperture, and avoids pairing parameters. What is more important, this algorithm can deal with mixed far-field and near-field sources. Finally, the simulation results validate the performance of the proposed method.
A Multi-Criteria Decision Support System for the Selection of Low-Cost Green Building Materials and Components  [PDF]
Junli Yang, Ibuchim Cyril B. Ogunkah
Journal of Building Construction and Planning Research (JBCPR) , 2013, DOI: 10.4236/jbcpr.2013.14013
Abstract: The necessity of having an effective computer-aided decision support system in the housing construction industry is rapidly growing alongside the demand for green buildings and green building products. Identifying and defining financially viable low-cost green building materials and components, just like selecting them, is a crucial exercise in subjectivity. With so many variables to consider, the task of evaluating such products can be complex and discouraging. Moreover, the existing mode for selecting and managing, often very large information associated with their impacts constrains decision-makers to perform a trade-off analysis that does not necessarily guarantee the most environmentally preferable material. This paper introduces the development of a multi-criteria decision support system (DSS) aimed at improving the understanding of the principles of best practices associated with the impacts of low-cost green building materials and components. The DSS presented in this paper is to provide designers with useful and explicit information that will aid informed decision-making in their choice of materials for low-cost green residential housing projects. The prototype MSDSS is developed using macro-in-excel, which is a fairly recent database management technique used for integrating data from multiple, often very large databases and other information sources. This model consists of a database to store different types of low-cost green materials with their corresponding attributes and performance characteristics. The DSS design is illustrated with particular emphasis on the development of the material selection data schema, and application of the Analytical Hierarchy Process (AHP) concept to a material selection problem. Details of the MSDSS model are also discussed including workflow of the data evaluation process. The prototype model has been developed with inputs elicited from domain experts and extensive literature review, and refined with feedback obtained from selected expert builder and developer companies. This paper further demonstrates the application of the prototype MSDSS for selecting the most appropriate low-cost green building material from among a list of several available options, and finally concludes the study with the associated potential benefits of the model to research and practice.
Investigating Factors Affecting Material Selection: The Impacts on Green Vernacular Building Materials in the Design-Decision Making Process
Ibuchim Ogunkah,Junli Yang
Buildings , 2012, DOI: 10.3390/buildings2010001
Abstract: Material selection is a complex and delicate task determined by the immense number of building material options. Likewise, multiple factors are often considered by the architect when evaluating the various categories of building materials. As a result, these sets of factors or variables often present tradeoffs that make the decision process even more complex. To ease the material-selection process, this article examines one aspect of the research objectives: the relevant factors or variables needed to develop a systematic and efficient material-selection system. Through the analysis of frequency data and results of a pilot study, it identifies some of the potential factors that will impact architects decisions in their choice of green vernacular building materials, during the design-decision making process. The application of the criteria for the quantitative evaluation and selection of the best alternative building material, using the Analytic Hierarchy Process (AHP) model, are discussed. The aim is to develop a multi-factorial analytical decision support toolkit to assist architects assess their consequences in terms of whether or not the material option is likely to move towards sustainability objectives. An example is included to illustrate the AHP approach. The argument is advanced that the explicit incorporation of sustainability in the material selection process requires the assessment of the social, economic, technical, sensorial and environmental consequences of potential material options.
Two L-Shaped Array-Based 2-D DOAs Estimation in the Presence of Mutual Coupling
Junli Liang;Ding Liu
PIER , 2011, DOI: 10.2528/PIER10071701
Abstract: Recent research on the array geometrical configuration shows that the two L-shaped array (TLSA) has a lower Cramer-Rao Low-Bound (CRLB) of two-dimensional (2-D) directions-of-arrival (DOAs) estimation than other array configurations. However, in this array configuration, there are some problems to note: i) three electric angles are independently obtained from three uniformly linear subarrays on three axes, so they must be matched before solving elevation and azimuth angles from them; ii) Similar to other array geometries, the effect of mutual coupling in the TLSA on the estimation performance cannot be ignored; and iii) the conventional elevation estimators may encounter estimation failure. In this paper, we develop a new TLSA-based 2-D DOAs estimation algorithm. The key points of this paper are: i) using some particularly selecting matrices, a trilinear model is constructed to compensate the effect of mutual coupling on three subarrays. In addition, the steering vector is restored using the trilinear alternating least square method; ii) 2-D DOAs are estimated from the properly chosen elements of the restored steering vector to avoid pairing parameters and the severe performance degradation resulted from the failure in pairing; and iii) a new elevation estimator is designed to avoid estimation failure. Simulation results are presented to validate the performance of the proposed method.
Di-μ-benzoato-κ3O,O′:O;κ3O:O,O′-bis[(acetato-κO)(1,10-phenanthroline-κ2N,N′)lead(II)] dihydrate
Junli Gao,Xiaopeng Xuan
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809025896
Abstract: The title compound, [Pb2(CH3COO)2(C7H5O2)2(C12H8N2)2]·2H2O, consists of dimeric units built up around a crystallographic centre of symmetry and two non-coordinating water molecules. Each PbII unit is six-coordinated by a bidentate 1,10-phenanthroline (phen) ligand, a monodentate acetate anion and a bidentate benzoate anion, which also acts as a bridge linking the two PbII atoms. The crystal packing is stabilized by O—H...O hydrogen bonds and by π–π interactions between the phen rings of neighboring molecules, with a centroid–centroid distance of 3.577 (3) .
An Ensemble Data Mining and FLANN Combining Short-term Load Forecasting System for Abnormal Days
Ming Li,Junli Gao
Journal of Software , 2011, DOI: 10.4304/jsw.6.6.961-968
Abstract: A data mining and ENN combining short-term load forecasting system is proposed to deal with the weather-sensitive factors' influence on the power load in abnormal days. The statistic analysis showed that the accuracy of the short time load forecasting in abnormal days has increased greatly while the actual forecasting results of AnHui Province’s total electric power load and the comparative analysis have validated the effectiveness and the superiority of the strategy.
Wet-Chemical Synthesis and Optical Property of ZnSe Nanowires by Ag2Se-Catalyzed Growth Mechanism  [PDF]
Junli Wang, Hui Feng, Weiling Fan, Kangmin Chen, Qing Yang
Advances in Materials Physics and Chemistry (AMPC) , 2013, DOI: 10.4236/ampc.2013.36039
Abstract: High-quality II-VI semiconductor ZnSe nanowires were facilely prepared in the oleic acid and oleylamine mixed solution at low temperatures of 130°C-200°C through an Ag2Se-catalyzed growth mechanism. Oleylamine served as an effective reducing agent and a surfactant in the synthesis. Many of the resultant nanowires were terminated by an Ag2Se catalyst particle at one of their ends, confirming that the nanowire growth followed a catalytic mechanism. The crystal structure of Ag2Se catalyst was examined, which exhibited a metastable tetragonal phase, not the common orthorhombic phase. Meanwhile, the optical properties of as-synthesized ZnSe nanowire solid powder were evaluated by the UV-Visible diffuse reflectance and photoluminescence spectroscopy and a significant blue shift was observed compared to the bulk ZnSe with a band gap of 2.7 eV. This work would provide an alternative and effective catalytic route for the preparation of one-dimensional (1D) nanostructures of ZnSe and other metal selenides.
Nano-Ferric Oxide Promotes Watermelon Growth  [PDF]
Meng Wang, Xiaoping Liu, Jing Hu, Junli Li, Jin Huang
Journal of Biomaterials and Nanobiotechnology (JBNB) , 2015, DOI: 10.4236/jbnb.2015.63016
Abstract: With the rapid growing of nanotechnology, the effects of nanomaterials released into the environment on plants have drawn more and more attention. Iron is an element essential for plant growth and development. Iron is involved in chlorophyll formation; iron deficiency will cause a plant disorder known as chlorosis. However, whether iron in nano-ferric oxide can be absorbed by plants were rarely concerned. Nano-ferric oxide might promote the growth and development of plants in a suitable concentration. An experiment was designed to evaluate whether nano-ferric oxide can be used to treat chlorosis and the physiological changes of plants in nano-ferric oxide environment. Watermelon was chosen as the experimental plant. Seedlings of watermelon plants were grown in full nutrient solution without iron for 2 weeks until the leaves got yellow. Then the seedlings were treated with different concentrations of nano-ferric oxide (0, 20, 50, 100 mg/L) and 50 mmol/L of EDTA-Fe(II) for a month. The control group seedlings were still grown in full nutrient solution without any iron. Indicators such as activity of antioxidase like superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) and content of malondialdehyde (MDA) and soluble protein were studied to measure the physiological effects nano-ferric oxide might have on watermelon. It was observed that the leaves reverted green. Experimental data showed that watermelon absorbed iron from nano-ferric oxide, and nano-ferric oxide promoted watermelon growth in some ways in a suitable concentration.
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