Energy Management System Design and Testing for Smart Buildings Under Uncertain Generation (Wind/Photovoltaic) and Demand

This study provides details of the energy management architecture used in the Goldwind microgrid test bed. A complete mathematical model, including all constraints and objectives, for microgrid operational management is first described using a modified prediction interval scheme. Forecasting results are then achieved every 10 min using the modified fuzzy prediction interval model, which is trained by particle swarm optimization.A scenario set is also generated using an unserved power profile and coverage grades of forecasting to compare the feasibility of the proposed method with that of the deterministic approach. The worst case operating points are achieved by the scenario with the maximum transaction cost. In summary, selection of the maximum transaction operating point from all the scenarios provides a cushion against uncertainties in renewable generation and load demand.     

Passive Control Reinforced Concrete Frame Mechanism with High Strength Reinforcements and Its Potential Benefits Against Earthquakes

Introduction In most reinforced concrete (RC) structures, a large stiffness is needed in order to limit structural deforma- tion for service load conditions. In seismic resistant structures, however, the energy dissipation demands are imposed and inelasti…     

Polarimetric Synthetic Aperture Radar Image Classification by a Hybrid Method

Different methods proposed so far for accurate classification of land cover types in polarimetric synthetic aperture radar (SAR) image are data specific and no general method is available. A novel hybrid framework for this classification was developed in this work. A set of effective features derived from the coherence matrix of polarimetric SAR data was proposed. Constituents of the feature set are wavelet, texture, and nonlinear features. The proposed feature set has a strong discrimination power. A neural network was used as the classification engine in a unique way. By exploiting the speed of the conjugate gradient method and the convergence rate of the Levenberg-Marquardt method (near the optimal point), an overall speed up of the classification procedure was achieved. Principal component analysis (PCA) was used to shrink the dimension of the feature vector without sacrificing much of the classification accuracy. The proposed approach is compared with the maximum likelihood estimator (MLE) based on the complex Wishart distribution and the results show the superiority of the proposed method, with the average classification accuracy by the proposed method (95.4%) higher than that of the MLE (93.77%). Use of PCA to reduce the dimensionality of the feature vector helps reduce the memory requirements and computational cost, thereby enhancing the speed of the process.     

歇马镇工业区土壤镉污染现状初探

在工厂排水渠渠道一侧平行于排水渠方向,按距排污口100 m、200 m、300 m处选点采土样,用ICP-OES对土样全镉量进行测定,并探究点源镉污染受土壤pH值及距污染源距离的影响.研究表明:该区土壤受到了一定程度的镉污染,且其污染程度与离排污口的距离成负相关.同时采样分析了该镇各土地利用类型的面源污染状况.     

Affine Term Structure Model with Macroeconomic Factors: Do No‐Arbitrage Restriction and Macroeconomic Factors Imply Better Out‐of‐Sample Forecasts?

This study extends the affine dynamic Nelson–Siegel model for the inclusion of macroeconomic variables. Five macroeconomic variables are included in affine term structure model, derived under the arbitrage‐free restriction, to evaluate their role in the in‐sample fitting and out‐of‐sample forecasting of the term structure. We show that the relationship between the macroeconomic factors and yield data has an intuitive interpretation, and that there is interdependence between the yield and macroeconomic factors. Moreover, the macroeconomic factors significantly improve the forecast performance of the model. The affine Nelson–Siegel type models outperform the benchmark simple time series forecast models. The out‐of‐sample predictability of the affine Nelson–Siegel model with macroeconomic factors for the short horizon is superior to the simple affine yield model for all maturities, and for longer horizons the former is still compatible to the latter, particularly for medium and long maturities. Copyright © 2015 John Wiley & Sons, Ltd.     

缙云山自然保护区不同植被下黄壤的研究

缙云山不同植被下黄壤的研究表明,不同植被类型下黄壤的腐殖质组成及发生学性质不同,并有一定规律:从针叶林地→针阔混交林地→常绿阔叶林地,腐殖质含量增加,腐殖质物质系统趋于复杂化,土壤酸度、粘粒含量及游离铁含量亦顺次增加.本文从两个方面对以上结果进行了讨论:(1)现状植被对腐殖质组成的影响.(2)植被演替对土壤腐殖质组成及发生学性质的影响.并将土壤腐殖质组分与粘粒含量、氧化铁的游离度综合考虑,对土壤腐殖质各组分的组合情况与土壤个体发育阶段间的关系进行了初探.     

Mutations in VPS33B, encoding a regulator of SNARE-dependent membrane fusion, cause arthrogryposis-renal dysfunction-cholestasis (ARC) syndrome

ARC syndrome (OMIM 208085) is an autosomal recessive multisystem disorder characterized by neurogenic arthrogryposis multiplex congenita, renal tubular dysfunction and neonatal cholestasis with bile duct hypoplasia and low gamma glutamyl transpeptidase (gGT) activity. Platelet dysfunction is common. Affected infants do not thrive and usually die in the first year of life. To elucidate the molecular basis of ARC, we mapped the disease to a 7-cM interval on 15q26.1 and then identified germline mutations in the gene VPS33B in 14 kindreds with ARC. VPS33B encodes a homolog of the class C yeast vacuolar protein sorting gene, Vps33, that contains a Sec1-like domain important in the regulation of vesicle-to-target SNARE complex formation and subsequent membrane fusion.     

The climatic variations and development of yellow soil in Beibei since the Holocene epoch

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Neighborhood topological effect on grain topology-size relationship in three-dimensional polycrystalline microstructures

A new grain topology-size relationship in three-dimensional(3D)polycrystalline microstructures has recently been established by considering the effects of non-random first nearest neighbor grains.In this contribution,a generalized form for this relationship is presented by considering the interactions of kth(k=1,2,3…)nearest neighbor grains,and large scale Monte Carlo-Potts model simulation is used to investigate the general neighborhood topological effect on the topology-size relationship.The results show that,unlike their first nearest neighbors(k=1),the topological correlations of 3D grains with their kth layers(k 2)of nearest-neighbors may have trivial effect on the topology-size relationship.     

最优同伦渐近法在带滑移的6常数Oldroyd流体模型中的应用

应用最优同伦渐近法（OHAM）研究了6常数Oldroydl流体的平面Couette流、平面Poiseuille流和平面Couette Poiseuille流这三个非线性问题.介绍了6常数Oldroyd流体的平面Couette流、平面Poiseuille流和平面Couette Poiseuille流的控制方程和边界条件,应用最优同伦渐近法对上述问题进行求解,并给出模拟仿真,根据仿真结果讨论了滑移参数对速度分布的影响.