Calculation of the influence of Green Technology Innovation to Eco-Industrial Management in China

The function of Green Technology Innovation （GTI） in the Eco-Industrial Management （ELM） appears more and more important, but the research on how much this function plays is scarce. The influence of Green Technology Innovation to the Eco-Industrial Management has gradually received the academic and the industrial attention. In this article an empirical research was attempted to inspect whether such influence exists and to what value. The study attempts to empirically explore the influencing degree of GTI on EIM in China based on the double logarithmic regression equation.

Importance Analysis on Subsystem of CNC Lathe Based on TOPSIS

An importance analysis model for computer numerical control（CNC）lathe subsystems was proposed.The model was based on technique for order preference by similarity to an ideal solution（TOPSIS）and considered the structure correlation between subsystems and the complete machine,the fault correlation of each subsystem and so on.The model can obtain a comprehensive sequencing of subsystems based on their importance to the complete machine.It lays a theoretical foundation for reliability allocation.

Research on Effect of Heap Loading on Deformation and Mechanical Properties of Bridge Double Pile Foundation on Steep Slope

In order to analyze the deformation and stress characteristics of the pile foundation on the slope, this paper uses the finite element software Abaqus for numerical simulation. The displacement and stress data of pile under different working conditions (the combination of heap load and vertical load and horizontal load and inclined load) were collected;the distribution of pile displacement, axial force and bending moment were analyzed. Simulation results show that: slope top loading has little effect on vertical displacement; when the heap load exceeds 200 kPa, the horizontal displacement is greatly affected. Pile axial force decreases with pile burial depth;pile lateral resistance plays a more adequate role in the rock and soil layer. The bending moment of double pile foundation is positive at the top and negative at the bottom. Applied oblique load has obvious p-Δ effect.

Quantitative analysis of parameters’influence on the stability of coal roadway clamped by upper and lower soft rock with extra thickness

In this paper,a physical model of coal roadway which is clamped by upper and lower softrock with extra thickness was built according to the characteristics of soft rock strata in china's western mining area.Then,a series of orthogonal numerical experiments were carried out by selecting the strength and stiffness parameters of soft rock and coal seam as well as the in situ stress of soft rock strata as experimental factors and roadway displacements(convergence displacements of sides,displacement of roof to floor)as experimental indexes.By constructing the F statistics with different inspection levels,evaluation method for influence of the experimental factors on stability indexes were defined.Thus,influence degrees of specified parameters on the stability of roadway were divided into five classes as follows:highly significant influence,significant influence,relatively significant influence,little significant influence,and no influence respectively which realize the quantitative analysis of the influence degrees of experimental factors.The finite element calculation results showed that main failure mode of coal roadway that usually showed as tension failure of coal seam in roof and deformation factors of coal seam had the most remarkable effect on roadway displacements.The conclusions provide theoretical basis for further analysis of the mechanism of"roof burst"in roadway maintenance.

Design of in-network caching scheme in CCN based on grey relational analysis

In-network caching is one of the most important issues in content centric networking （CCN）, which may extremely influence the performance of the caching system. Although much work has been done for in-network caching scheme design in CCN, most of them have not addressed the multiple network attribute parameters jointly during caching algorithm design. Hence, to fill this gap, a new in-network caching based on grey relational analysis （GRA） is proposed. The authors firstly define two newly metric parameters named request influence degree （RID） and cache replacement rate, respectively. The RID indicates the importance of one node along the content delivery path from the view of the interest packets arriving The cache replacement rate is used to denote the caching load of the node. Then combining hops a request traveling from the users and the node traffic, four network attribute parameters are considered during the in-network caching algorithm design. Based on these four network parameters, a GRA based in-network caching algorithm is proposed, which can significantly improve the performance of CCN. Finally, extensive simulation based on ndnSIM is demonstrated that the GRA-based caching scheme can achieve the lower load in the source server and the less average hops than the existing the betweeness （Betw） scheme and the ALWAYS scheme.

The Impact of Spatial Heterogeneity on Ecosystem Service Value in a Case Study in Liuyang River Basin, China

In previous studies the value of ecosystem services was evaluated microscopically by ecological indicators such as soil properties,biomass,carbon storage,oxygen release,water quality,and others.In this paper,the spatial heterogeneity of ecosystem services in Liuyang River basin was studied from the perspective of Geographic Information System（GIS）based spatial relationships by using a combination of geographic data and spatial analysis technologies.The Liuyang River basin was divided into grids with a resolution of 1km×1km.The weights of factors that affect the value of ecosystem services（such as topography,geological disasters,roads,scenic spots,vegetation coverage,and plant net primary productivity）were evaluated using the entropy method and analytic hierarchy process（AHP）in order to investigate the influence of natural and social factors on the value of ecosystem services in a quantitative manner.The results demonstrate that the value of ecosystem services is mainly affected by vegetation coverage,plant net primary productivity,and road network density.The value of ecosystem services grows with the increase in either vegetation coverage,plant net primary productivity,or road network density.Different types of land play different roles in ecosystem services.Cultivated land,grassland,and water each have significant supply and regulating functions while forest has significant regulating and supporting functions.The value of ecosystem services of cultivated land and water that are closely related to human activity is significantly influenced by spatial heterogeneity.In contrast,the effect of spatial heterogeneity on the value of ecosystem services of forest land and grassland that are located in mountains and hills,far away from the human accumulation zone,is insignificant.