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Chen W.,Chongqing Creation Vocational College | Wang G.,Ankang University
ICSESS 2012 - Proceedings of 2012 IEEE 3rd International Conference on Software Engineering and Service Science | Year: 2012

Citation semantic link network is combination of semantic link network and citation network, which make citation network has the abilities of semantic representation and semantic reasoning. According to semantic reasoning rules, we can get the implicit citation semantic link in network and the new semantic relations between citations. It provides a more efficient method for the citation network retrieval and the complex network theory. Based on citation semantic link network scheme, this paper proposes a method to calculate the similarity of citation semantic link network. This method is the key to discover community in citation semantic link network. Using this similarity calculation method, we can discover semantic community of various research fields in citation network, and foresee developing directions and hot spots of various research fields. © 2012 IEEE.


Zheng X.-J.,Chongqing Creation Vocational College | Jiao J.,Chongqing Creation Vocational College
Applied Mechanics and Materials | Year: 2014

The channel whose impulse response contains a large number of zero taps is sparse. Exploiting the sparsity of the channel, the estimation problem can be converted into an on-off keying (OOK) detection problem. Therefore, a sparse channel estimation algorithm was proposed. First, with an initial estimate, posed a detection problem by casting the determination of non-zero taps into an OOK communication problem; then took precise evaluation against the established non-zero taps position. In the simulation, the proposed algorithm was compared to the standard LSE via simulations in terms of MSE and BER. The results show that, the proposed algorithm can provide the best performance while maintaining moderate complexity. © (2014) Trans Tech Publications, Switzerland.


Qiao X.A.,Chongqing Creation Vocational College | Liu J.,Chongqing Creation Vocational College
Advanced Materials Research | Year: 2014

The pattern recognition process control diagram, this paper puts forward a new method of training neural network. It only needs a small training data set can complete this work. This method is also compatible with the training algorithm, and get a better network performance. Pattern recognition success rate is very high in the larger parameter range, but also has some comparability. © (2014) Trans Tech Publications, Switzerland.


Du D.Y.,Chongqing Creation Vocational College
Applied Mechanics and Materials | Year: 2014

In order to improve the dynamic behavior of the weak link in power transmission and distribution network, studied a new regulator using the divergence operator to disturbance, improve power and high voltage power system, the divergent regulator based on the frequency response characteristics were simulated using the DIgSILENT software, the effect of good. © (2014) Trans Tech Publications, Switzerland.


Teng B.,Chongqing Creation Vocational College
Applied Mechanics and Materials | Year: 2014

With economic development, the massing of buildings in the mining area is increasing. The larger and deeper foundations will come forth. The safety of excavation support, adjacent building put forward higher requirements. Summing up the experiences of deep foundation pit support in mining area, this article expounds the mining area excavation support structure, retaining pile, neighboring buildings and foundation as a whole process which is simulation of excavation and supporting. © (2014) Trans Tech Publications, Switzerland.


Zhang Y.K.,Chongqing Creation Vocational College
Applied Mechanics and Materials | Year: 2013

Lattice Discrete Particle Model (LDPM) provides accurate representation of concrete behavior under cycling loading both in tension and unconfined, confined, and hydrostatic compression. In this paper, LDPM is used to simulate tensile fracturing as demonstrated by the successful simulation of three points bending tests on notched specimens, the result show that it is able to reproduce pre-peak nonlinearity as well as softening post-peak behavior. It reproduces realistically the development of crack pattern due to tensile stresses and also could predict correctly size effect on specimen load carrying capacity. © (2013) Trans Tech Publications, Switzerland.


Yin S.,Southwest University | Chen W.,Chongqing Creation Vocational College | Wang W.,Southwest University
ICIC Express Letters | Year: 2011

In this paper, a typical network teaching system is taken as run-time environment. Data mining techniques and fuzzy theory are introduced into evaluation of network teaching process. Mining the records of web log of students' learning journey, combined it with data warehouse, fuzzy theory analysis, level analysis, and through reasoning of the expert system map daily performance to evaluation indices, and then through fuzzy comprehensive judgment to obtain evaluation results. It uses expert system to interpret evaluation results and generate reviews. Network teaching evaluation depends on its implementation. Evaluation factors are qualitative and quantitative indicators. Evaluation methods include evaluation of process and assessment of learning. Formative evaluation is paid more attention for its teaching and learning promoting function. Quality assurance is not just a result, it should be a dynamic process of intelligence assessment. It works like the human cognitive process. Though the experiment and comparison with traditional max-min synthesis evaluation method, we verify the feasibility of the method. ICIC International © 2011 ISSN 1881-803X.


Yajun H.,Chongqing Creation Vocational College | Xiaoqiang Y.,Chongqing Creation Vocational College
Proceedings - 2015 7th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2015 | Year: 2015

It is difficult to be accurately predicted for wind power generation's random, intermittent and volatility. According to the strong chaotic characteristics of wind speed, the optimal time delay and embedding dimensions of wind speed are determined by using a short-term prediction of phase space reconstruction theory. After the sample space is reconstructed, the short-term wind speed is carried out by BP neural network. The experimental results show that the higher forecasting accuracy of short-term power generation can be obtained. © 2015 IEEE.


Yajun H.,Chongqing Creation Vocational College | Jing L.,Chongqing Creation Vocational College
Proceedings - 2015 7th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2015 | Year: 2015

It is difficult to be accurately predicted for wind power generation's random, intermittent and volatility. According to the strong chaotic characteristics of wind speed, the optimal time delay and embedding dimensions of wind speed are determined by using a short-term prediction of phase space reconstruction theory. After the sample space is reconstructed, the short-term wind speed is carried out by BP neural network. The experimental results show that the higher forecasting accuracy of short-term power generation can be obtained. © 2015 IEEE.


Zhang J.P.,Chongqing Creation Vocational College | Zeng X.L.,Chongqing Creation Vocational College
Advanced Materials Research | Year: 2014

When the root is collecting data at a tree-based network, more upper nodes is usually with more packets usually. We called this bottleneck problem. The goal of this paper is to solve the bottleneck problem in ZigBee tree network. We use The Beacon-Only Period Approach which has been proposed by IEEE802.15.4b to avoid the collision caused by beacon frame. Moreover, we propose a centralized algorithm (TDMLF) that enables the nodes to fully use the GTS transmission. TDMLF not only avoides the hidden node problem which occurs in IEEE802.15.4, but also enables the entire network to achieve a more effective parallel transmission. Simulation results show that the TDMLF algorithm effectively reduces the bottleneck problem, and thus achieves a high delivery ratio. Moreover, because of no collision, the TDMLF also reduces the waste of time and energy by retransmission. © (2014) Trans Tech Publications, Switzerland.

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