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In the basis of analyzing the importance of power transformer in substation and power system, the development process of operation and maintenance technology for power transformer are introduced in detail. And the meaning of condition parameters used for characterizing the state of power transformer were illustrated, for example, the temperature of winding hot spot, casing insulation, the micro water and gas content in oil and the vibration. Taking ATmegal 16L microcontroller as the core, the whole structure of condition monitoring system, the power supply unit and signal processing unit were detailed designed.

We discuss the Optical Image Matching Technique, which cloud obtains the horizontal ground deformation by using the frequency domain phase correlation technique and Fourier migration theory. Then, we retrieved the fault rupture of the 2014 Mw6.9 Yutian earthquake from GF-1 and ZY-3 images, both of which are Chinese optical satellites. The experiment indicates the ability that Chinese optical satellites cloud monitors the seismic deformation.

Satellite data transmission scheduling is assigning limited ground resources for satellite data requests reasonably in the condition of many satellites and ground stations with considering many constraints. Its purpose is improving the efficient usage of ground resources. In this paper, we focus on the building of satellite data transmission scheduling and algorithm. We describe the constraints of satellite data transmission scheduling formally and analyze the process of satellites data transmission. We put forward conflict degrees of data transmission after analyzing the data transmission time windows. And we give one strategy to resolve the conflicts. We build models of satellite data transmission after giving the resolve the problem based on its characteristic. Owing to the shortcoming of GA, we connect Tabu Search Algorithm(TSA) with Genetic Algorithms (GA),we call the combination TSGA. We get the scene of scheduling by the software of STK. We build several evaluation indexes of two kinds of algorithms. The results show that TSGA algorithm outperforms GA.

Earth observation satellite mission planning is the core issue of multisatellite and multitask to coordinate control and scheduling problem. In this paper, the 0–1 integer programming model for satellite mission planning problem was constructed. We discussed the discrete particle swarm optimization (DPSO), designed decimal encoding operator of DPSO and decoding method based on the utilization of satellite resources, proposed DPSO with mutation operator (MDPSO). This algorithm not only optimizes effectively, but also has overcome the premature convergence of the particle swarm algorithm. The MDPSO can resolve the satellite mission planning effectively. Finally, we designed two sets of experiments. The first one analyzed the algorithm parameters' influence on the optimization results. Then comparing with the genetic algorithm, we verified the effectiveness of the MDPSO, and confirmed that the optimization results had been significantly improved for at least 7.8%.

The evaluation of river ecosystem health is significant for the sustainable development of cities. In practical application, evaluation criteria are shown in interval pattern. However, in some commonly used methods, evaluation criteria of discrete values are often taken. Furthermore, the simplification of index from interval pattern to the point value form affects the rationality and accuracy of evaluation. The fuzzy variable model can solve this problem by combining with multiple attribute intervals. Based on this method, the ecosystem health of a river was assessed. Results show that the model is applicable in the assessment of river ecosystem health with more reliability.

Present a method for computing the embedded depth in rock of the laterally loaded rock-socketed piles. The method, based on the Hoek-Brown failure criterion, takes into account the mobilized lateral shear resistance along the bond of perimeter of the pile in rock. The proposed method is verified to be more reasonable by comparing its result with that of other existing methods.

Decomposition analysis has been popular in the study on influencing factors of CO2 emissions. This paper analyzes the change of CO2 emission intensity in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO2 emissions intensity. The research shows that energy intensity is the main influence factor for CO2 emission intensity decrease in China over the entire period, China has achieved a considerable decrease in CO2 emission intensity mainly due to the improved of energy intensity. In addition, the change of energy structure exhibits positive effect to CO2 emission intensity increase. According to research, the author suggests CO2 emission intensity reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.

Decomposition analysis has been popular in the study on influencing factors of CO2 emissions. This paper analyzes the change of sectoral CO2 emissions from the three main industries in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO2 emissions. The research shows that economic activity effect is the main influence factor for CO2 emission increase in China over the entire period, China has achieved a considerable theoretical decrease in CO2 emissions mainly due to the improved of energy intensity. In addition, the change of industrial structure, CO2 emission coefficient and population exhibit positive effect to the CO2 emissions increase. According to research, the author suggests CO2 emission reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.

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In order to improve the speaker recognition accuracy, the pitch is applied to GMM-based speaker recognition (SR). The circular average magnitude difference function (CAMDF) method is used to extract the pitch. An endpoint detection method based on the pitch is proposed. The following four features are selected as the features of the SR: the mel-frequency cepstral coefficient (MFCC) based on the pitch, the pitch contour, the pitch first-order difference and the pitch changed rate. Experimental results show that the recognition rate using proposed endpoint detection method is improved 20% than that using the conventional method. The recognition rate of the proposed system using the selected four features is improved 5% than that of the speaker recognition system using the MFCC parameters only.

This work is mainly focused on showing experimental results of speaker recognition with voice activity detection. A VAD algorithm based on the finite state machine is introduced firstly. The algorithm is incorporated into two speaker recognition (SR)systems. The Mel Frequency Ceptral Coefficients(MFCCs) are adopted as the speaker speech feature parameters in both systems. Vector quantization (VQ)and Gaussian mixture model (GMM) are the classifiers of the two SR systems, respectively. The experimental results show that the VAD improved the performance of both SR systems with small speech database. However, as the speech databases get bigger and bigger, the performance of both SR systems withVAD gets worse and worse, compared to those of systems without VAD. The reason of the phenomenon is analyzed in detail.

An audio watermarking algorithm based on psychoacoustic model is proposed. The algorithm can resist the statistics attack. The frequency masking threshold of the audio is calculated through psychoacoustic model. The frequency masking threshold is used to estimate the strength of the watermark signal and determine the location of embedding. The watermark is embedded in a way of resistance statistics attack. The audio watermarking algorithm presented here is blind for no original audio is required when detection. The simulation results show that the watermarked audio is perceptually similar to the original one.

Decision-making information often has uncertainty because of inaccurate estimate and survey error. This causes the quantification of information to appear in the form of intervals. To solve the multiple attribute decision-making issues of interval number, a new method based on fuzzy theory is put forward. On the basis of this method, different schemes of the water resources allocation in a certain city in 2010 are assessed and optimal selected.

Semantic pattern is kind of template with semantic information, and it can be used to structurized a sentence. In this paper, semantic pattern based question and its corresponding answers are used as the data resource of knowledge base. The exact answer is extracted from plain text answer by matching of question and answer. Two kinds of matching methods and the experiment results are simple presented. Extracted exact answer and semantic pattern based question are composed of a structured information unit which can be inserted into knowledge base with the assistance of ontology. The disease ontology is studied for illustration. Our approach to knowledge base construction is concise and effective.