Luo Zhong

Wuhan University of Technology, Wu-han-shih, Hubei, China

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Publications (70)8.34 Total impact

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    ABSTRACT: Pseudorandom binary sequences balanced and with optimal autocorrelation have many applications in the stream cipher, communication, coding theory, etc. Constructing a binary sequences with three-level autocorrelation is equivalent to finding the corresponding characteristic set of the sequences that should be an almost difference set. In the work of T.W. Cusick, C. Ding, and A. Renvall in 1998, the authors gave the necessary and sufficient conditions by which a set of octic residues modulo an odd prime forms an almost difference set. In this paper we show that no integers verify those conditions by the theory of generalized Pell equations. In addition, by relaxing the definition of almost difference set given by the same authors, we could construct two classes of modified almost difference sets and two ones of difference sets from the set of octic residues.
    No preview · Article · Jan 2016 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
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    ABSTRACT: In this paper, the linear complexity over $\mathbf{GF}(r)$ of generalized cyclotomic quaternary sequences with period $2pq$ is determined, where $ r $ is an odd prime such that $r \ge 5$ and $r\notin \lbrace p,q\rbrace$. The minimal value of the linear complexity is equal to $\tfrac{5pq+p+q+1}{4}$ which is greater than the half of the period $2pq$. According to the Berlekamp-Massey algorithm, these sequences are viewed as enough good for the use in cryptography. We show also that if the character of the extension field $\mathbf{GF}(r^{m})$, $r$, is chosen so that $\bigl(\tfrac{r}{p}\bigr) = \bigl(\tfrac{r}{q}\bigr) = -1$, $r\nmid 3pq-1$, and $r\nmid 2pq-4$, then the linear complexity can reach the maximal value equal to the length of the sequences.
    No preview · Article · Dec 2015
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    ABSTRACT: Let r be an odd prime, such that r≥5 and r≠p, m be the order of r modulo p. Then, there exists a 2pth root of unity in the extension field Frm. Let G(x) be the generating polynomial of the considered quaternary sequences over Fq[x] with q=rm. By explicitly computing the number of zeros of the generating polynomial G(x) over Frm, we can determine the degree of the minimal polynomial, of the quaternary sequences which in turn represents the linear complexity. In this paper, we show that the minimal value of the linear complexity is equal to $ \frac{1}{2}(3p-1) $ which is more than p, the half of the period 2p. According to Berlekamp-Massey algorithm, these sequences viewed as enough good for the use in cryptography.
    No preview · Article · Jul 2015 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
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    ABSTRACT: We found that the work of Kim et al. [1] on trace representation of the Legendre sequence with the periods p ≡ ±3 (mod 8) can be improved by restricting the selection of the periods p while maintaining the form p ≡ ±3 (mod 8) unchanged. Our method relies on forcing the multiplicative group of residue classes modulo p, Zp*, to take 2 as the least primitive root. On the other hand, by relaxing the very strong condition in the theorem of these authors and by using the product among powers of the primitive root and powers of any quadratic residue element to represent an element in Zp*, we could extend Kim's formula so that it becomes a special case of our formula more general.
    No preview · Article · Apr 2015 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
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    ABSTRACT: In this letter, we give a trace representation of binary Jacobi sequences with period pq over an extension field of the odd prime field Fr. Our method is based on the use of a pqth root of unity over the extension field, and the representation of the Jacobi sequences by corresponding indicator functions and quadratic characters of two primes p and q.
    No preview · Article · Mar 2015 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences

  • No preview · Article · Jan 2015 · IEEE Communications Letters
  • Luo Zhong · Hui Yu · Jingling Yuan · Lin Li
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    ABSTRACT: Dimensionality reduction of tunnel data is an important part of data mining in urban highway tunnel. It makes significant sense for tunnel maintenance, traffic safety management, traffic status analysis, and so on. However, the sample size is very large and the correlativity of data elements is complex, what makes these general methods, the principal component analysis (PCA) and kernel principal component analysis (KPCA), cannot achieve its dimensionality reduction work effectively. Therewith, we propose a two-step algorithm named as "KPCA_T" which is based on KPCA for dimensionality reduction of tunnel data in this paper. The KPCA_T consists of two procedures. At first, utilize the least square to compress samples by taking advantage of periodicity of tunnel data. And then, use the KPCA with an improved Gaussian radial basis kernel function to reduce the samples which have been compressed. We take the three methods, PCA, KPCA, and KPCA_T, to complete the dimensionality reduction experiment. Through the comparison experiment, the contrasting result proves the feasibility and effectiveness of KPCA_T for dimensionality reduction of tunnel data with large size and complex correlativity.
    No preview · Conference Paper · Mar 2014
  • Aiyan Lu · Luo Zhong · Lin Li · Qingbo Wang

    No preview · Article · Oct 2013
  • Source
    Luo Zhong · Bo Zhu · Li Yang · Huazhu Song
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    ABSTRACT: Grid aims at sharing all kinds of geographically distributed and heterogeneous resources. The key to resource organization is how to accomplish the resource discovery efficiently. In this paper, a Layered Resource Discovery Model (LRDM) was proposed firstly according to different resource type in grid. Then the components of LRDM were analyzed and designed in detail with resource discovery module in Globus Tookit 4, mainly including resource description, resource information storage, resource information organization, resource request processing, and resource selection. Finally, the model was implemented and proved to have the characteristics high discovery efficiency and scalability because of combining the advantages of both centralized and distributed mechanisms.
    Full-text · Article · Sep 2013
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    ABSTRACT: A kind of tunnel environment monitoring system based on SCADA (Supervisory Control and Data Acquisition) and Qt integrated development environment was designed and realized in this paper. The data center module, interface module and data processing module were integrated. The observer pattern was applied to this system including custom widget technology, XML technology, and database technology and so on. A lot of configuration parameters were selected for the extension of this system. This system was proved having a good expansibility, reusability, flexibility and maintainability in the practical engineering.
    No preview · Conference Paper · May 2012
  • Qingbo Wang · Luo Zhong · Qingji Zhang · Lin Li
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    ABSTRACT: The current city tunnel monitoring system is commonly composed by several independent subsystems, and the monitoring data has feature of multi source and heterogeneous. As a result, it is difficult to analyze this data and realize the linked control between subsystems. A novel linked control scheme based on XML was proposed in this paper. The unified record of each subsystem data, the storage of control strategies and the implement of control commands exist with the form of XML file in this scheme. The realization of linked control scheme has greatly improved the practicability and intelligence of city tunnel monitoring system.
    No preview · Conference Paper · May 2012
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    ABSTRACT: Considering the fact that free calcium oxide content is an important parameter to evaluate the quality of cement clinker, it is very significant to predict the change of free calcium oxide content through adjusting the parameters of processing technique. In fact, the making process of cement clinker is very complex. Therefore, it is very difficult to describe this relationship using the conventional mathematical methods. Using several models, i e, linear regression model, nonlinear regression model, Back Propagation neural network model, and Radial Basis Function (RBF) neural network model, we investigated the possibility to predict the free calcium oxide content according to selected parameters of the production process. The results indicate that RBF neural network model can predict the free lime content with the highest precision (1.3%) among all the models.
    No preview · Article · Feb 2012 · Journal of Wuhan University of Technology-Mater Sci Ed
  • Jingling Yuan · Xing Jiang · Luo Zhong · Hui Yu
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    ABSTRACT: More and more attention is paid for energy consumption aware and power control for data center with the emergency of energy crisis. The use of virtualization technology makes it possible for dynamic configuration of data center resources. The N:1 mapping visualization technology is employed to integrate many physical machines into an virtual resource pool to control resources centralized, and then reinforcement learning is applied to resource management and decision making for an uncertain task flow data center. Finally, an automatic resource control algorithm with energy consumption aware is proposed. This algorithm is implemented in the Cloud Sim platform to improve the energy consumption of the data center. The experimental results show that our algorithm can reduce about 40% of the energy consumption of the non-power-aware data center and reduce 1.7% of that of the greedy scheduling algorithm in data center.
    No preview · Article · Jan 2012
  • Qingbo Wang · Jingling Yuan · Luo Zhong
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    ABSTRACT: The city tunnel monitoring platform was studied based on the city tunnel monitoring system in order to share information and resources in this paper. The characteristics of the data which are collected from different city tunnel monitoring systems were analyzed. The XML(eXtensive Makeup Language) based multisource description method was proposed to uniformly express various data in the monitoring platform. Then, the common architecture of city tunnel monitoring platform was discussed. The city tunnel monitoring platform aimed at solving the problems that the monitoring data of the city tunnel is isolated and hardly to share, enhancing the monitoring level of city tunnel.
    No preview · Article · Jan 2012
  • Luo Zhong · Li Yang · Bo Zhu · Huazhu Song
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    ABSTRACT: In the grid environment, resources are distributed, heterogeneous, dynamical and autonomous. Resource discovery takes a part of a bridge between resource requester and resource provider. Its primary function is to devise effective location strategy and find the optimal resource combination to meet the demands of users. In this paper, on the premise of the Layered Resource Discovery Model (LRDM), a layered resource location strategy was proposed, mainly including two parts: local location and global location. At last, the location strategy was simulated by using OPNET in order to demonstrate the feasibility and effectiveness of the proposed strategy.
    No preview · Conference Paper · Aug 2011
  • Luo Zhong · Qingbo Wang · Jingling Yuan
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    ABSTRACT: Using object mathematical model of traditional control theory can not solve the forecasting problem of the chemical components of sintered ore. In order to control complicated chemical components in the manufacturing process of sintered ore, some key techniques for intelligent forecasting of the chemical components of sintered ore are studied in this paper. A new intelligent forecasting system based on SVM is proposed and realized. The results show that the accuracy of predictive value of every component is more than 90%. The application of our system in related companies is for more than one year and has shown satisfactory results. Key wordssintered ore–support vector machine–intelligent forecasting–nonlinear regression–optimized control
    No preview · Article · Jun 2011 · Journal of Wuhan University of Technology-Mater Sci Ed
  • Luo Zhong · Li Yang · Bo Zhu · Huazhu Song
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    ABSTRACT: Combined the technology of service-oriented with learning resource grid, this paper proposed its solution of demonstration system. Firstly, the architecture of learning demonstration system was given, and the services in the system were discussed. Then the learning resource grid demonstration system was designed from the data supporting layer and visualization layer in detail. Finally, the implemented system not only showed the service invocation process visually, but also let learners or users get a deeper understanding about grid.
    No preview · Article · Jan 2011
  • Qingji Xue · Yong Li · Luo Zhong · Mingzhu Zheng
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    ABSTRACT: With the development of 3G mobile technology, the mobile learning (M-Learning) platform research becomes the demand of the Times. Based on cloud service for convenient hardware resource allocation and ontology for good individual learning, the system architecture of mobile learning platform is proposed and some key techniques are studied in this paper. Finally, a kind of M-learning platform framework is designed and realized.
    No preview · Article · Jan 2011
  • Jingling Yuan · Wei Xie · Qifeng Yang · Luo Zhong
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    ABSTRACT: This paper mainly discusses the simulation aspect of online payment in e-commerce teaching by means of the cloud and virtualization technologies. The various transaction entities in online payment are simulated so that students and teachers access the simulation programs for virtual trading entity through the online or wireless means under cloud architecture. Students are able to fully experience the actual functionality of the entities and roles. The open-source cloud platform Eucalyptus is employed to configure and manage the Virtual Machines(VMs) for various trading entities to achieve persistence mechanisms of trading entities and Citrix ICA/Microsoft RDP/VNC protocol are also used to remotely access and control the VMs of various trading entities.
    No preview · Article · Jan 2011
  • Luo Zhong · Qingji Xue · Hua Liu · Jingling Yuan
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    ABSTRACT: This paper discusses the characteristics and key techniques of 3G mobile learning based on cloud services. Our research mainly focuses on mobile learning mode including active mode, passive mode and hybrid mode. And personalized learning method and resource integration approach are applied and analyzed. At last, we propose to employ cloud computing to mobile learning and build basic framework and simulation application for 3G mobile learning based on cloud services.
    No preview · Conference Paper · Dec 2010