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Duan M.-C.,Gansu Institute of Political Science and Law
Natural Gas Geoscience | Year: 2014

China has maintained rapid growth trend in the economic aggregate since 1957, especially the beginning of reform and opening up. China has become the world's second largest economy in 2010. The rapid economic development has led to changes in demand for energy consumption and energy consumption structure. These changes affect the sustainable development of China's economy and society. This paper systematically studied the characteristics of China's total energy and oil and natural gas energy consumption since 1957. The variation of total energy and oil and natural gas energy consumption with time, the energy consumption composition and structure, energy dependence on foreign were elucidated, and the energy import proportion, species and areas were analyzed. The relationship between national economic growth and energy consumption was discussed. This has significance in grasping the trend of China's energy consumption, adjusting the economic development mode and energy consumption structure and making the economic sustainable development strategy. 16721926 ©, 2014, Science Press. All right reserved.

Wang Q.Y.,Gansu Institute of Political Science and Law
Advanced Materials Research | Year: 2014

According to the image formation model and the nature of underwater images, we find that the effect of the haze and the color distortion seriously pollute the underwater image data, lowing the quality of the underwater images in the visibility and the quality of the data. Hence, aiming to reduce the noise and the haze effect existing in the underwater image and compensate the color distortion, the dark channel prior model is used to enhance the underwater image. We compare the dark channel prior model based image enhancement method to the contrast stretching based method for image enhancement. The experimental results proved that the dark channel prior model has good ability for processing the underwater images. The super performance of the proposed method is demonstrated as well. © (2014) Trans Tech Publications, Switzerland.

Wang F.,Gansu Institute of Political Science and Law
Applied Mechanics and Materials | Year: 2014

Vehicle scheduling problem (VSP) is a kind of NP combination problem. In order to overcome PSO's slow astringe and premature convergence, an improved particle swarm optimization (IPSO) is put forward. In the algorithm, it uses the population entropy to makes a quantitative description about the diversity of the population, and adaptively adjusts the cellular structure according to the change of population entropy to have an effective balance between the local exploitation and the global exploration, thus enhance the performance of the algorithm. In the paper, the algorithm was applied to solve VSP, the mathematical model was established and the detailed implementation process of the algorithm was introduced. The simulation results show that the algorithm has better optimization capability than PSO. © (2014) Trans Tech Publications, Switzerland.

Zhang C.,Gansu Institute of Political Science and Law
Applied Mechanics and Materials | Year: 2014

Based on the glowworm swarm optimization (GSO) and BP neural network (BPNN), an algorithm for BP neural network optimized glowworm swarm optimization (GSOBPNN) is proposed. In the algorithm, GSO is used to generate better network initial thresholds and weights so as to compensate the random defects for the thresholds and weights of BPNN, thus it can make BPNN have faster convergence and greater learning ability. The efficiency of the proposed prediction method is tested by the simulation of the chaotic time series generated by Lorenz system. The simulations results show that the proposed method has higher forecasting accuracy compared with the BPNN, so prove it is feasible and effective in the chaotic time series. © (2014) Trans Tech Publications, Switzerland.

Wu G.L.,Gansu Institute of Political Science and Law | Wu G.L.,The Gansu Key Laboratory of Evidence Science and Technology Research and Application
Applied Mechanics and Materials | Year: 2014

In this paper, we used CSP algorithm as the core, constructed public opinion mining system including the mining module, the mining policy management module, the user management module, and the Fault Management module. The system's major job is finish public opinion mining, text classification, concept Clustering, the similarity analysis, automatic Digest, and optimize the result of the web system, mail system and other major media networks. After establish the theme, the system will optimizing the initial seed and get the resource, then get tabloid through text analysis technology, After that the documents will be classified to the concept of clustering, a concept of space and a neural network algorithms will be settled, so that it can provide users with the concept of space-based interface for the research and the circumstances surrounding the development process. The system provide the appropriate information platform for the departments to regulate public opinion timely and reasonable. © (2014) Trans Tech Publications, Switzerland.

Wang Q.-Y.,Gansu Institute of Political Science and Law
Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014 | Year: 2014

According to the characters of the motion-blurred images, this paper analyzes its degradation model and gives a method of estimating the direction of motion-blur more accurately which based on spectrum image. First of all, it is necessary to figure out the relationship of the spectrum image's stripe and the blurred direction on the basis of degradation model; after that, we need to pretreat the spectrum image (spectrum image block, contrast-limited adaptive gray stretching, and by finding the appropriate binarization threshold value of spectrum after inverting with Otsu method); finally, by Radon transform we could obtain the perpendicular direction of dark stripes, and then the blurred direction is calculated. This method is demonstrated precisely by experimental results. © 2014 IEEE.

Lu J.,Gansu Institute of Political Science and Law | An D.,Gansu Institute of Political Science and Law
Applied Mechanics and Materials | Year: 2013

In this paper we studied timeliness of TDMA-based MAC scheduling mechanisms. TDMA-based MAC protocols require sensor nodes to deliver data individually so as to eliminate collisions in shared channel. This scheduling mechanism can assist sensor nodes in managing energy efficiently since data resending that collisions induced has a significant impact on battery life. But during medium access arbitration, the elected central node has to receive other nodes' state messages one by one before assigning time slots for each node. While in large-scale sensor networks, the waiting time would be a relatively long duration and result in timeliness decrease in time-sensitive environments. We propose a novel time slots assignment algorithm for TDMA-based MAC protocols that allows sensor nodes to deliver state messages simultaneously to central node for medium access arbitration and present an analysis in which these two approaches are compared in respect to timeliness. The algorithm is evaluated through simulation. Simulation results have confirmed the timeliness of our new algorithm. © (2013) Trans Tech Publications, Switzerland.

Pesticides and antidepressants are frequently misused in drug-facilitated crime because of their toxicological effect and easy-availability. Therefore, it is essential for the development of a simple and reliable method for the determination of these organic toxicants in biological fluids. Here, we report on an applicable method by the combination of optimized liquid-liquid extraction (LLE) procedure and high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) to identify and quantify dimethoate, omethoate, dichlorvos, carbofuran, fenpropathrin, diazepam, estazolam, alprazolam, triazolamm, chlorpromazine, phenergan, barbitone and phenobarbital in human blood. The method demonstrated a linear calibration curve in range of 20-500 μg/L (r > 0.994). The accuracy evaluated by recovery spiked at three different concentrations (50, 100 and 200 μg/L) was in the range of 58.8-83.1% with a relative standard deviations (RSD) of 3.7-7.4%. The limits of quantification ranged over 6.7-33.3 μg/L. This method was proved to be simple and reliable, and was thus successfully applied to forensic toxicology. 2016. © The Japan Society for Analytical Chemistry.

Tao J.,Gansu Institute of Political Science and Law
ICENT 2010 - 2010 International Conference on Educational and Network Technology | Year: 2010

This paper deals with the application of gompertz curve model to mobile user growth. gompertz growth curve is a kind of product life cycle theories, which reveals the development of product markets has a sigmoid growing process. The gompertz curve model which can be transformed, employ ordinary least-squares principle to simply formula. Based on historical data, the initial formula can be projected. In order to achieve better prediction accuracy, 0.618 optimal seeking methods can be employed to optimize Model ,which adjusts limit parameters of gompertz growth curve for the purpose of fitting actual data. Although the gompertz model establishment for Postal and Telecommunication Services is demonstrated in this paper, this model can be applied in many fields. Example programs for specifying these models based on the use of the gompertz Curve Model are also provided. So the gompertz model is effective path to the research of product life cycle theories, which the prospect of application will be promising. © 2010 IEEE.

Ding Y.,Gansu Institute of Political Science and Law
2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015 | Year: 2015

In real environment, the protocol distribution of Network traffic is imbalance, and the generalization ability of supervised learning algorithm such as algorithm to C4.5 is poor. In order to improve the classification accuracy and stability of network traffic, a network traffic classification method based on Rotation Forest was proposed. In the method, PCA was used for feature reduction and C4.5 algorithm was used to train base classifier. The experimental results show that traffic classification method based on Rotation Forest has higher accuracy and stronger generalization ability compared with C4.5 and Bagging algorithm, and more suitable for imbalanced network traffic classification. © 2015 IEEE.

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