Abstract:
At present, China is at a crucial changing period from the second step strategic target to the third step strategic target. To forecast the future trend of the three industrial structures scientifically and to draw up the development target of industry rationally have great significance in optimizing the allocations of resources and achieving sustained economic growth. In this study, we combine the spherical projection with the grey model and present a new method to forecast Chinese 3 industrial structures. Compared with the actual data, we attest to that the model presented by this study can forecast Chinese 3 industrial structures quite accurately, reflect the Chinese three industrial structures mechanism and have rational and effective functions for analyzing trend and forecasting.

Abstract:
The effect of extracellular carbonic anhydrase (CAex) on stable carbon isotope fractionation in algae is still unclear. The stable carbon isotope composition and algal growth in the presence and absence of the membrane-impermeable CA inhibitor acetazolamide were compared in Chlamydomonas reinhardtii and Chlorella vulgaris. The CAex of both algal species contributed about 9‰ of the stable carbon isotope fractionation and exhibited a dosage effect. Therefore, evidence in vivo that CAex leads to a larger carbon isotope fractionation of algae is presented.

Abstract:
Dynamic Segmentation is a new technique in the analysis,displayingand mapping of lines in GIS.In view of GIS application in the transportation in-formation management,this paper discusses the origin of dynamic segmentation andthe characteristics of attribute data base for it and gives the algorithm for its im-plementation. Taking the mutual querying between spatial data and attribute dataas an example,it demonstrats the application of dynamic segmentation,and dicus-ses the related algorithm and the command format.

In recent years, injection of renewable energy such as solar power
into the power grid is increasing. However, inclusion of large-scale
intermittent-type renewable energy requires better management in proper
understanding of grid’s variable characteristics and its protection systems. In
this paper, the investigation on overvoltage issue is illustrated. Overvoltage
in distribution feeder occurs when large amount of solar power is injected at
low power demand. Another investigation is on false operation of overcurrent
relays due to reverse power to the 33 kV loads. The potential solutions to the
two issues are illustrated in the small-sized power grid system using
bi-directional inverters on AC buses in charging battery banks and adjusting
the relay current settings. The benefits of solar power injection are
illustrated whereby output power from generators is decreased and transmission
losses are reduced. Electrical Transient Analysis Program (ETAP) was used for
investigations.

Abstract:
In this paper, the author is concerned with the following fractional equation \[ { }^CD_{0+}^\alpha u(t)=f(t,u(t),{}^CD_{0+}^{\alpha _1 } u(t),{ }^CD_{0+}^{\alpha _2 } u(t)),t\in (0,1) \] with the anti-periodic boundary value conditions \[ u(0)=-u(1), \;\; t^{\beta _1 -1}\; {}^CD_{0+}^{\beta _1 } u(t)_{\vert t\to 0}=-t^{\beta _1 -1}\; {}^CD_{0+}^{\beta_1 } u(t)_{\vert t=1}, \] \[ t^{\beta _2 -2}\; {}^CD_{0+}^{\beta _2 } u(t)_{\vert t\to 0} =-t^{\beta _2-2}\; {}^CD_{0+}^{\beta _2 }u(t)_{\vert t=1}, \] where ${ }^CD_{0+}^\gamma $ denotes the Caputo fractional derivative of order $\gamma $, the constants $\alpha ,\alpha _1 ,\alpha _2 ,\beta _1 ,\beta _2 $ satisfy the conditions that $2<\alpha \leq3,0<\alpha _1 \leq1<\alpha _2 \leq2,0<\beta _1 <1<\beta _2 <2$. Differing from the recent researches, the function $f$ involves Caputo fractional derivative ${}^CD_{0+}^{\alpha _1 } u(t)$ and ${}^CD_{0+}^{\alpha _2 } u(t)$. In addition, the author put forward a new anti-periodic boundary value conditions, which are more suitable than that were studied in the recent literature. By applying Banach contraction mapping principle, and Leray-Schauder degree theory, some existence results of solution are obtained.

Abstract:
To estimate location accurately in distributed wireless sensor networks (WSNs), an efficient intelligent position estimation scheme is proposed which needs fewer known nodes without calculating relative positions. The proposed intelligent localization scheme includes two phases. In the first phase, an initialization location algorithm is adopted, where known nodes broadcast their positions and one-hop distances, and then unknown nodes use the received information and operate weighted estimation algorithm to calculate their initial positions. In the second phase, an optimized location algorithm is employed. Unknown nodes exchange information with their neighbors and operate a modified weighted estimation algorithm to refine their positions repeatedly. Additionally, a location scheme also is proposed to solve the problem that a node only has two neighbors. Detailed simulation results show that, the proposed scheme can decrease the average position error down to 9% radio range, and increase the average number of located nodes up to 78% when connectivity is greater than 12 in 20% known node ratio.