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Zhao P.,Shangluo University
Journal of Computational and Theoretical Nanoscience | Year: 2016

At present, the new curriculum reform has been in full swing in our country, and the modern teaching method has become the important factor of the education reform. In this paper, the author analyzes the curriculum reform of Chinese language and literature based on statistical analysis, and put forward some specific reform measures, such as three dimensional curriculum design, improve the professional quality of teachers, make the curriculum reform is close to the students' life, and highlight the students' subjectivity. At the same time, we investigated the current situation of Chinese language and literature education in Colleges, and put forward related suggestions. Copyright © 2016 American Scientific Publishers All rights reserved.


Li Y.,Shangluo University
Chemical Engineering Transactions | Year: 2017

Due to the fact that the unmatching of extended targets' measurements noise is also assumed as Gaussian distribution and conventional algorithm cannot estimate target's extent under the circumstance of unknown measurement noise covariance, a new multiple extended target tracking algorithm based on variational bayesian random hypersurface model (VB-RHM) is proposed, which is embedded into CPHD filter frame. Measurement noise is modeled by glint noise with t-distribution, its parameters are assumed to have a Gamma prior distribution so that the predicted and updated PHDs can have mixture of Gaussians representations. A variational bayesian procedure is applied to iteratively estimate parameters of the mixture distributions through random hypersurface model CPHD prediction and update steps. The simulation results show that the proposed algorithm VB-RHM-CPHD can track multiple extended targets' kinematic state and object extension under the condition of unknown numbers and measurement noise covariance adaptively. In addition, it has an improved precision compared with conventional RHM-GGM-CPHD algorithm. Copyright © 2017, AIDIC Servizi S.r.l.


Gao L.,Shangluo University
Chemical Engineering Transactions | Year: 2017

The contents of total mercury and dissolved mercury in the water samples and soil samples around the Qin Shihuang mausoleum in Lintong District of Xi'an were measured by cold atomic fluorescence spectrometry. The results showed that the amount of mercury contained in the soil of Qin Shihuang Mausoleum and the surrounding soil was between 41.41-2248.08 ng/g, and the total mercury content (2.04-124.4 ng/L) in the water samples was lower than that in the drinking water (1000 ng/L) of the World Health Organization. Copyright © 2017, AIDIC Servizi S.r.l.


Targeted at using linguistic information to evaluate the service quality of university mobile library, this paper puts forward an evaluation method based on 2-tuple linguistic representation and entropy weighting. The author analyzes the influencing factors of the service quality of university mobile library by LibQual +® and the analytic hierarchy process. 4 primary indices and 12 secondary indices are selected to construct the service quality evaluation system. The analysis is carried out in two ways: Expert survey and questionnaire survey. To solve the fuzziness of the linguistic evaluation information given by the experts, the author determines the subjective weights of each index by the 2-tuple linguistic evaluation. As for the user data, the author determines the objective weights of each index by the entropy weighting. The subjective and objective weights are organically combined to get the synthetic weights. The evaluation information is aggregated by the 2-tuple linguistic weighted average operator to set up the service quality evaluation model of university mobile library based on 2-tuple linguistic representation and entropy weighting. The author then verifies the feasibility and effectiveness of the evaluation method by an example. The results indicate that the method can effectively evaluate the service quality of university mobile library and provide a theoretical reference for improving the service quality.


Liu Y.,Shangluo University
Chemical Engineering Transactions | Year: 2016

Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms. However, the above two algorithm makes the search process easy to fall into local optimum and premature convergence because of the existence of particle waiting effect. For overcoming the shortcoming of QPSO and improving its search ability, considering that the feature of Levy flight is different that of Brown motion used by QPSO, we proposed a method of based on Levy flight quantum-behaved particle swarm optimization (LFQPSO). In order to test the performance of the proposed algorithm in our work, we apply it to the benchmark function test and compare it with standard PSO and QPSO algorithm, which shows that the LFQPSO outperforms the standard PSO and QPSO algorithm. Copyright © 2016, AIDIC Servizi S.r.l.


Liu Y.,Shangluo University
International Journal of Security and its Applications | Year: 2016

Network big data is an important driving force for the upgrading of information technology, and network data has brought great opportunities to the economic survey. The openness and freedom of the network also produced the possibility of private information and data to be destroyed or violated, and the security of the Internet is becoming more and more important. In this paper, the author analyzes the impact of fiscal expenditure on the new urbanization and income gap by using data mining technology. The result shows that the public expenditure increase 1% will lead urbanization rate increase 0.0462%; also, the effect of public finance expenditure on urbanization has a certain time lag, and the effect will be more obvious in the long term. At the same time, public expenditure will help to narrow the income gap in the long term, public expenditure at lag 2 increase 1% will lead income gap decrease 0.758%. So that, increasing public expenditure is an important way to promote the equalization of basic public services between urban and rural areas. © 2016 SERSC.


Lei W.,Shangluo University
Proceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014 | Year: 2015

This paper proposes a semi-supervised spectral clustering algorithm combined with Bayes decision, for Low stability and accuracy of spectral clustering algorithm. This method is clustered according to color, texture and spatial characteristics of the image. It first adjusts the similarity matrix by distance learning methods based on Bayes decision to improve clustering distribution of feature vectors, Then, we use the constrained K-means algorithm to cluster adjusted feature vectors to further improve the stability and accuracy of results. The synthetic texture image and natural image segmentation experiments show that this method has significantly improved stability and accuracy than traditional spectral clustering. © 2014 IEEE.


Su J.,Shangluo University
Engineering Technology, Engineering Education and Engineering Management - International Conference on Engineering Technology, Engineering Education and Engineering Management, ETEEEM 2014 | Year: 2015

Zhenba folk song in southern Shaanxi owns a very long history and a profound cultural foundation, and carries with the cultural memories of the generations in Zhenba. It is not only the crystallization of Zhenba people’s life with their wisdoms, but also a historical witness to this enthusiastic land. Therefore, by regarding the ecological tourism culture as a bridge and the tourism culture innovation as a new idea, the study on the historical inheritance and cultural background of the folk songs in southern Shaanxi and the promotion for the protection and inheritance of the folk songs to closely link with tourism culture are of practical significance and guiding significance in boosting the common development of the national music culture and the tourism industry. © 2015 Taylor & Francis Group, London.


Zhao P.-J.,Shangluo University
Proceedings - International Conference on Computational Aspects of Social Networks, CASoN'10 | Year: 2010

In the paper a novel harmony search (HS) algorithm based on opposition and differential evolution (ODHS) algorithm is proposed in order to solve high dimensional optimization problems. It provides a new architecture of hybrid algorithms, which organically merges the differential evolution (DE) into HS algorithm and the ODHS algorithm initializes the HM (harmony memory) using opposition based learning and uses "opposites" selection replacing random selection. During the course of evolvement, harmony search and differential evolution is alternately used to improve the search performance, which makes the ODHS algorithm have more powerful exploitation capabilities. Simulation and comparisons based on four benchmark functions demonstrate the effectiveness, efficiency and robustness of the proposed ODHS. © 2010 IEEE.


Yue Y.M.,Shangluo University
Proceedings of the International Conference on Management, Information and Educational Engineering, MIEE 2014 | Year: 2015

Considering the classical risk model perturbed by diffusion with dividend payments and capital injections in the presence of transaction costs, we want to maximize the discounted dividend payments minus the penalized discounted capital injections. By stochastic control theory and the corresponding Hamilton–Jacobi– Bell–man equation, we derive the solution of the optimal strategy to the HJB equation. © 2015 Taylor & Francis Group, London.

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