Henan University of Economics and Law

Zhengzhou, China
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Lei L.,Henan University of Economics and Law
Journal of Computational and Theoretical Nanoscience | Year: 2016

The main objective of Cloud Computing is to provide software, services and computing infrastructures carried out independently by the network. Based on the development trend of enterprise information technology, this paper proposes an enterprise information technology strategic plan combined with Cloud Computing and Service Oriented Architecture (SOA). This schedule employs these popular technologies, such as Cloud Computing and Service Oriented Architecture, so as to solve more difficulties in enterprise information. This novel scheme makes a detailed analysis on the enterprise information technology strategic plan, so that it can be used widely in the enterprises management. In a word, Cloud Computing accelerates the process of enterprise information, and Service Oriented Architecture makes enterprise management problems more clear. Hence, this strategic plan is of great application value. Copyright © 2016 American Scientific Publishers All rights reserved.

Liu H.,Henan University of Economics and Law
Journal of Computational and Theoretical Nanoscience | Year: 2016

The tourism industry has promoted the economic growth and promoted the consumption of the society. The effect of tourism on GDP, employment, poverty alleviation and so on is taken as the main research index for quantitative analysis, so as to find out the weight value of each index, which is an important basis for the development of tourism industry priority. In this paper, Analytical Hierarchy Process (AHP) is used to scientifically establish the weight system, and the contribution proportion of tourism industry in economy, consumption, social employment and other aspects is obtained. © Copyright 2016 American Scientific Publishers All rights reserved.

Liu J.,Henan University of Economics and Law
Revista de la Facultad de Ingenieria | Year: 2016

In this paper, a dynamic adaptive positioning PPP algorithm for the personnel losing contact in the sports based on the depth vector machine is proposed. The algorithm delays the virtual observation equation of the priori information, the spatial and temporal constraints through adding the ionosphere, and takes the ionospheric delay as unknown parameter to estimate with the other positioning parameters together to correct the ionospheric delay error with high efficiency. Then the convergence speed, positioning precision and ionospheric VTEC precision is tested and analyzed by using the measured data of 178 IGS stations in the world for 1d. The results show that, both the convergence rate and stability of the proposed algorithm have been improved, and the precision of the static single-frequency single-day PPP solution can reach 2 ∼ 3cm, the precision of the dynamic single-frequency PPP solution can reach 2 ∼ 3dm, and the average deviation of the total ion content of the ionosphere extracted with the single-frequency PPP and dual-frequency PPP is less than 5 TECU, which can be applied as a subsidiary positioning product.

Zhang M.,Henan University of Economics and Law | Li G.,North China University of Water Conservancy and Electric Power
Journal of Convergence Information Technology | Year: 2012

Classification of intrusion attacks is a challenging problem in network security. In order to improve the classification accuracy of traditional intrusion detection methods, a novel intrusion detection technology by combining least squares support vector machine and chaos particle swarm optimization (CPSO-LSSVM) is proposed in the paper. Least squares support vector machine (LSSVM) is a popular pattern classification method with many diverse applications. However, the choice of the training parameters of least squares support vector machine has a heavy impact on its classification accuracy. Chaos particle swarm optimization is an evolutionary computation technique,which is better than particle swarm optimization algorithm.Thus, this study introduces CPSO as an optimization technique to simultaneously optimize the training parameter of LSSVM. The experimental results demonstrate that the proposed CPSO-LSSVM model has detection accuracy than other classifiers.

XiaoXue L.,Henan University of Economics and Law
International Journal of Advancements in Computing Technology | Year: 2011

Peer-to-peer (P2P) networking is more and more widely used in many fields, such as exchange, contribute, or obtain files from any users of the internet. It's also a convenient environment for worms, viruses to find an easy way to attack other users from network. Therefore, a domain pool trust model for P2P networks is presented in this paper to represent the trust model among peers because they may from different domain pools. In this model, every peer belongs to a domain pool, which is marked by different hierarchy and category. The trust reputation value is based on which domain pool they belong to. What's more, a domain feedback algorithm is designed to filter selfish and fake peers. Finally, after simulation experiment in Query Cycle Simulator, it shows the domain pool trust model can get available peers effectively and against fake ones.

Zhao Y.,CAS Academy of Mathematics and Systems Science | Li Z.,CAS Academy of Mathematics and Systems Science | Li Z.,Henan University of Economics and Law | Cheng D.,CAS Academy of Mathematics and Systems Science
IEEE Transactions on Automatic Control | Year: 2011

This paper considers the infinite horizon optimal control of logical control networks, including Boolean control networks as a special case. Using the framework of game theory, the optimal control problem is formulated. In the sight of the algebraic form of a logical control network, its cycles can be calculated algebraically. Then the optimal control is revealed over a certain cycle. When the games, using memory μ> 1 (which means the players only consider previous μ steps' action at each step), are considered, the higher order logical control network is introduced and its algebraic form is also presented, which corresponds to a conventional logical control network (i.e., μ = 1). Then it is proved that the optimization technique developed for conventional logical control networks is also applicable to this μ-memory case. © 2010 IEEE.

Wang J.,Henan University of Economics and Law
International Review on Computers and Software | Year: 2012

With the development of the cloud computing technology, more and more companies are willing to apply this technology. When our private data are out-sourced in cloud computing, we should guarantee the confidentiality and searchability of the sensitive data. However, nowadays privacy preserving issues in the cloud have not been carefully explored at current stage. To relieve individuals' concerns of their data privacy, this paper explores an effective algorithm based on privacy protocol and min-attribute generalization to avoid the disclosure of private information in the cloud environment. This paper also provides security analysis and experimental evaluation for the proposed algorithm. © 2012 Praise Worthy Prize S.r.l.

Wang C.,Henan University of Economics and Law
Computers in Human Behavior | Year: 2014

This paper examines the antecedents and consequences of perceived value in m-government continuance use. Drawing upon service science studies and Chinese m-government context, a research model is constructed by extending the technology acceptance model (TAM). Data collected from a field survey of 326 m-government users are analyzed to test the proposed hypotheses. The results indicate that perceived value is strongly influenced by mobility, perceived usefulness and security, which is, in turn, significant impact on satisfaction and trust in technology, trust in agent and trust in government. These results contribute to drawing attention to the important role of perceived value in m-government continuance use and providing a new view that supplements to the extant technology acceptance research. © 2014 Elsevier Ltd. All rights reserved.

Guo Q.,Henan University of Economics and Law
Advances in Information Sciences and Service Sciences | Year: 2012

This paper would study the DSR routing technology based on multiple description coding and communication distance between nodes in vehicle ad hoc network. This routing technology based on routing protocol DSR, aims to cope with the characteristics of dynamic network topology, high-speed motion of vehicle, unpredictable direction and speed of vehicle in vehicle ad hoc network. This technology improves the discovery and reply process of DSR route through multiple description coding technology and residual energy of nodes. The vehicle nodes measure the one-hop communication distance between nodes according to the attenuation degree of signals and the original node chooses the main path according to RREP messages. Sending and receiving routing message through multiple-description technology would reduce the overhead of routing request.Simulation experiment analysis indicates that the improved DSR routing technology has the better performance in terms of end-to-end delay, packet delivery ratio and routing request overhead.

Cheng D.,CAS Academy of Mathematics and Systems Science | Qi H.,CAS Academy of Mathematics and Systems Science | Li Z.,Henan University of Economics and Law
IEEE Transactions on Neural Networks | Year: 2011

In this paper, a set of data is assumed to be obtained from an experiment that satisfies a Boolean dynamic process. For instance, the dataset can be obtained from the diagnosis of describing the diffusion process of cancer cells. With the observed datasets, several methods to construct the dynamic models for such Boolean networks are proposed. Instead of building the logical dynamics of a Boolean network directly, its algebraic form is constructed first and then is converted back to the logical form. Firstly, a general construction technique is proposed. To reduce the size of required data, the model with the known network graph is considered. Motivated by this, the least in-degree model is constructed that can reduce the size of required data set tremendously. Next, the uniform network is investigated. The number of required data points for identification of such networks is independent of the size of the network. Finally, some principles are proposed for dealing with data with errors. © 2011 IEEE.

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