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Magmatic arcs are natural laboratories for studying the growth of continental crusts. The Gangdese arc, southern Tibet, is an archetypal continental magmatic arc that formed due to Mesozoic subduction of the Neo-Tethyan oceanic lithosphere; however, its formation and evolution remain controversial. In this contribution, we combine newly reported and previously published geochemical and geochronological data for Mesozoic magmatic rocks in the eastern Gangdese arc to reveal its magmatic and metamorphic histories and review its growth, thickening, and fractionation and mineralization processes. Our results show that: (1) the Gangdese arc consists of multiple Mesozoic arc-type magmatic rocks and records voluminous juvenile crustal growth. (2) The Mesozoic magmatic rocks experienced Late Cretaceous granulite-facies metamorphism and partial melting, thus producing hydrous and metallogenic element-rich migmatites that form a major component of the lower arc crust and are a potential source for the Miocene ore-hosting porphyries. (3) The Gangdese arc witnessed crustal thickening and reworking during the Middle to Late Jurassic and Late Cretaceous. (4) Crystallization-fractionation of mantle-derived magmas and partial melting of thickened juvenile lower crust induced intracrustal chemical differentiation during subduction. We suggest that the Gangdese arc underwent the following main tectonic, magmatic, and metamorphic evolution processes: normal subduction and associated mantle-derived magmatism during the Late Triassic to Jurassic; shallow subduction during the Early Cretaceous and an associated magmatic lull; and mid-oceanic ridge subduction, high-temperature metamorphism and an associated magmatic flare-up during the early Late Cretaceous, and flat subduction, high-temperature and high-pressure metamorphism, partial melting, and associated crust-derived magmatism during the late Late Cretaceous. Key issues for further research include the temporal and spatial distributions of Mesozoic magmatic rocks, the evolution of the components and compositions of arc crust over time, and the metallogenic processes that occur in such environments during subduction.

With the increase of software system complexity, a high requirement of the reliability, stability and security of software quality is put forward. At present, artificial intelligence (AI) defect detection adoptes machine learning technology to realize code scanning and semantic analysis on software defects. The traditional machine learning technology for software defect detection is generally based on algorithms such as BP neural network model, Naive-Bayes model, and fingerprint identification model, etc. Regarding the features of software artificial intelligence (AI) defect detection, this paper proposes a layered detection technology based on software behavior decision tree model. Furthermore, a corresponding test environment is established to make contrast test of previously tested software. The results of the experiment shows that, with the comprehensive consideration of building time cost and false alarm rate and other factors, the artificial intelligence (AI) defect detection technology based on software behavior decision tree model is superior to other technologies.

In order to reduce the networking time and improve the success rate of wireless electricity meter reading, a RPL routing control strategy based on lightweight IPv6 is proposed. A tree network topology is built by the strategy, and the IPv6 addresses of nodes are generated according to serials number of electricity meter and vendor code. The parent nodes are chosen by considering three routing metrics including the network depth, the strength of received signal and the Expected Transmission Count (ETX). In addition, a packet retransmission mechanism and concentrator file updating mechanism are adopted to improve the efficiency and success rate of electricity meter reading. The test results show that the wireless electricity meter reading strategy can construct the network rapidly and improve the efficiency of electricity meter reading.

This paper briefly introduced the main linear damages in the network layer of electric power Optical Transmission Network which contains fiber loss, chromatic dispersion and polarization mode dispersion. Based on the engineering practice in the application of power system, this paper studied the loss in the optical fiber cable line. The paper also studied chromatic dispersion and polarization mode dispersion. The calculation models were concluded and used for simulation verification. Each model can be used to power OTN engineering design.

The smart grid which decouples the power network and the communication network will cause a revolution in the traditional power grid. Equipment such as routers in the communication network is in need of power supply, and the dispatching of the power network and intelligent decision requires communication network to transfer and control. This dependency relationship will lead to cascading fault. An interdependent coupling network tends to cascade fault because of the heterogeneous coupling. In order to study the suppression mechanism of coupling network cascading fault, we adopt the pairwise schema and propose a heuristic dual cover dual redundancy algorithm based on an independent network model. Through the extensive simulation results, we analyze and evaluate the performance of our suppression algorithm, and the results demonstrate the effectiveness. The pairwise schema proposed in this article can be easily extended to multilayer network by subsequent researchers. Furthermore, our models may be slightly modified, and can be widely applied to many practical networks.

Power system communication networks are responsible for data transmitting among different entities in power systems. This paper aims to propose a method for the comprehensive evaluation for construction results of the power system communication networks. Firstly, factors in a multi-criteria decision making approach can be arranged in a hierarchic structure based on the Analytic Hierarchy Process (AHP),then the Fuzzy Decision Theory (FDT) is used to combine the factors into one. The method proposed in this paper can be used to provide necessary basis for decision making with certain credibility. In the end, this paper provide a case for validating the method based on statistical data from State Grid Corporation of China. KEYWORD: Power System Communication Networks; Comprehensive evaluation; Analytic Hierarchy Process; Fuzzy Decision Theory International Conference on Industrial Technology and Management Science (ITMS 2015) © 2015. The authors Published by Atlantis Press 724 Figure 1 The structure diagram for the power system communication networks. 3 JUDGMENT MATRIX AND ITS EIGENVCTORS 3.1 1-9 scales method To quantity the decision analysis, we compare the importance of a factor i y in the certain level with that of another j y (i, j=1,...r), and illustrate that by the natural numbers 1-9 as follows: ij L =1, denote that i y and j y are equally important; ij L =3, denote that i y is weakly more important than j y ; ij L =5, denote that i y is obvious more important than j y ; ij L =7, denote that i y is much more important than j y ; ij L =9, denote that i y is extremely more important than j y ; ij L =2, 4, 6, 8, denote that the importance falls in between the above two degrees. Otherwise, 1/ ji ij L L  . 3.2 Judgment matrix According to the 1-9 scales method presented in Section 3.1, for a factor x in the certain level, which contains the factors k y (k=1,2,...r) in the next level, we can construct the judgment matrix as