Yong Zhang

National Huaqiao University, Amoy, Fujian, China

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Publications (65)37.03 Total impact

  • Guangzhou Chen, Kejun Chen, Yong Zhang
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    ABSTRACT: In statistical planning of experiments, super-simple designs are the ones providing samples with maximum intersection as small as possible. Supersimple group divisible designs are useful in constructing other types of supersimple designs which can be applied to codes and designs. In this article, the existence of a super-simple (5, 4)-GDD of group type g u is investigated and it is shown that such a design exists if and only if u ⩾ 5, g(u − 2) ⩾ 12, and u(u − 1)g 2 ≡ 0 (mod 5) with some possible exceptions.
    Frontiers of Mathematics in China 10/2014; 9(5). · 0.32 Impact Factor
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    ABSTRACT: In this paper, a strongly symmetric self-orthogonal diagonal Latin square of order nn with a special property (∗∗SSSODLS(nn)) is introduced. It is proved that a ∗∗SSSODLS(nn) exists if and only if n≡0(mod4) and n≠4n≠4. As an application, it is shown that there exists a Yang Hui type magic square YMS(n,4)(n,4) if and only if n≡0(mod4) and n≠4n≠4.
    Discrete Mathematics 01/2014; 328:79–87. · 0.58 Impact Factor
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    ABSTRACT: Much attention of current design analysis and optimization of crashworthy structures have been largely paid to the scenarios with single load case in literature. Nevertheless the designed structures may often have to be operated in other load conditions, thus raising a critical issue of optimality. This paper aims to understand and optimize the dynamic responses and energy absorption of foam-filled conical thin-walled tubes under oblique impact loading conditions by using multiobjective optimization method. The crashworthiness criteria, namely specific energy absorption (SEA) and crushing force efficiency (CFE), are related to loading parameters and design variables by using D-optimal design of experiments (DoE) and Kriging model. To obtain the optimal Pareto solutions of hollow and foam-filled conical tubes, design optimization is first performed under different loading case (DLC) using multiobjective particle swarm optimization (MOPSO) algorithm separately. The optimal designs indicate that hollow tube has better crashing performance than the foam-filled tube under relatively high impacting velocity and great loading angle. To combine multiple load cases (MLC) for multiobjective optimization, a double weight factor technique is then adopted. It is found that the optimal foam-filled tube has better crashing performance than empty conical tube under any of overall oblique loading cases concerned. The study gains insights in deriving multiobjective optimization for multiple load cases, providing a guideline for design of energy absorber under multiple oblique loading.
    Thin-Walled Structures 01/2014; 82:331–342. · 1.23 Impact Factor
  • Yong Zhang, Jianguo Lei
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    ABSTRACT: Large sets of orthogonal arrays (LOAs) have been used to construct resilient functions and zigzag functions by Stinson. In this paper, an application of LOAs in constructing multimagic rectangles is given. Further, some recursive constructions for multimagic rectangles are presented, and some infinite families of bimagic rectangles are obtained.
    Discrete Mathematics. 09/2013; 313(18):1823–1831.
  • Yong Zhang, Kejun Chen, Jianguo Lei
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    ABSTRACT: Large sets of orthogonal arrays (LOA) have been used to construct resilient functions and zigzag functions by D. R. Stinson. In this paper, a special kind of LOA, strong double large sets of orthogonal arrays (SDLOA), is introduced and some constructions are provided. Meanwhile, a construction of multimagic squares based on SDLOAs is also given. As its application, it is proved that a t-multimagic square of order exists whenever q is a prime power and , , which improves a similar result by H. Derksen et al. from primes to prime powers in Amer. Math. Monthly (2007).
    Journal of Combinatorial Designs 09/2013; 21(9). · 0.69 Impact Factor
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    ABSTRACT: The novel thermostable esterase EstL5 belonging to the GDSL family exhibits a unique cold-adaptation feature at low temperatures. To better understand its biochemical and enzymatic properties, recombinant EstL5 protein was purified and crystallized using the vapour-diffusion method. The EstL5 crystals diffracted X-rays to 2.79 Å resolution using a synchrotron-radiation source, belonged to the tetragonal space group P41212 or P43212, with unit-cell parameters a = b = 101.51, c = 124.22 Å, and are expected to contain two molecules in each asymmetric unit. To obtain initial phases, selenomethionyl-substituted protein was overproduced. Purified SeMet-labelled EstL5 protein was crystallized and formed crystals that diffracted to a resolution of 3.0 Å.
    Acta Crystallographica Section F Structural Biology and Crystallization Communications 07/2013; 69(Pt 7):776-8. · 0.55 Impact Factor
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    ABSTRACT: In the research of the propagation model of complex network, it is of theoretical and practical significance to detect the most influential spreaders. Global metrics such as degree centrality, closeness centrality, betweenness centrality and K-shell centrality can be used to identify the influential spreaders. These approaches are simple but have low accuracy. We propose K-shell and Community centrality (KSC) model. This model considers not only the internal properties of nodes but also the external properties of nodes, such as the com-munity which these nodes belong to. The Susceptible-Infected-Recovered (SIR) model is used to evaluate the performance of KSC model. The experiment result shows that our method is better to identify the most influential nodes. This paper comes up with a new idea and method for the study in this field.
    Proceedings of the 14th international conference on Web-Age Information Management; 06/2013
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    ABSTRACT: Big Data boosts the development of data management and analysis in database systems but it also poses a challenge to traditional database. NoSQL databases are provided to deal with the new challenges brought by Big Data because of its high performance, storage, scalability and availability. In NoSQL databases, it is an essential requirement to provide scalable and efficient index services for real-time data analysis. Most existing index solutions focus on improving write throughput, but at the cost of poor read performance. We designed a new plug-in system PuntStore with pLSM (Punt Log Structured Merge Tree) index engine. To improve read performance, Cache Oblivious Look-ahead Array (COLA) is adopted in our design. We also presented a novel compact algorithm in bulk deletion to support migration of data from temporary storage to data warehouse for further analysis.
    Computer Software and Applications Conference (COMPSAC), 2013 IEEE 37th Annual; 01/2013
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    ABSTRACT: Purpose ‐ This paper aims to introduce dataspace into digital libraries in order to address its emerging data management challenges which stem from cross-domain, heterogeneous, and uncertain nature of data resources, based on looking into the fundamental principles, significant features, and research directions of dataspace. Design/methodology/approach ‐ This research mainly employs three types of research methodologies: a literature study was conducted for revealing the fundamental principles, analyzing the significant features, and discussing the new research topics; knowledge engineering methodology is used to design the data model; software engineering methodology is applied to develop the reference framework and the digital library. Findings ‐ This paper for the first time proposes a motion to build a Dataspace Support Digital Library (DSDL), and provides its data model, data management policies and a reference framework. Further, its implementation is described and some implications learned from the case study are also discussed. Practical implications ‐ Introducing dataspace technologies into developing a digital library frees the developer to just focus on solving business challenges, rather than addressing non-business related, data management level tasks. In addition, the data model and the reference framework presented in this paper lay foundations for constructing Dataspace Support Digital Libraries. Originality/value ‐ This is the first paper to introduce dataspaces into the design of digital libraries and is also the first paper to propose a novel data model, data management and reference framework for Dataspace Support Digital Libraries.
    The Electronic Library 01/2013; 31(6). · 0.50 Impact Factor
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    ABSTRACT: This paper is concerned with fault detection for a class of complex networked control systems. By introducing transmission matrix, nonlinear delayed Markovian jump systems model with partially unknown transition probabilities are established by multiple channels data transmission framework. Based on the obtained model, mode-dependent fault detection filters are used for residual generator, the addressed fault detection problem is converted into nonlinear H∞ attenuation problem. Then the desired mode-dependent fault detection filters are constructed in terms of linear matrix inequalities such that the fault detection systems are stochastically stable with H∞ attenuation level. A numerical example is given to demonstrate the effectiveness of the proposed design approach.
    Information Sciences 01/2013; 221:534–543. · 3.64 Impact Factor
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    ABSTRACT: With the development of cloud technologies, more and more electronic records will be stored and processed in the cloud. In order to manage massive electronic records, a kind of storage system named CloudDA is proposed in cloud environment in our paper. In the CloudDA, the HUABASE database and the THCFS file system are designed. HUABASE is used to store all kinds of structured data such as the metadata and index information. And the THCFS is used to store massive archives files. Finally, we design a kind of massive electronic records processing prototype system for digital archives in the cloud.
    Proceedings of the 2012 international conference on Pervasive Computing and the Networked World; 11/2012
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    ABSTRACT: In this paper, the authors propose a new electronic commerce architecture in the cloud that satisfies the requirements of the cloud. This architecture includes five technologies, which are the massive EC data storage technology in the cloud, the massive EC data processing technology in the cloud, the EC security management technology in the cloud, OLAP technology for EC in the cloud, and active EC technology in the cloud. Finally, a detailed discussion of future trends for EC in the cloud environment is presented in this paper.
    Journal of Electronic Commerce in Organizations 10/2012; 10(4):42-56.
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    ABSTRACT: A thermostable GDSL family esterase-encoding gene, EstL5, was directly obtained from the genomic DNA of Geobacillus thermodenitrificans T2. Recombinant hexahistidine-tagged EstL5 was overexpressed, purified, and its biochemical properties were partially characterized. EstL5 was observed to be active within the temperature range of 0-80°C, having maximal activity at 60°C. Unlike most other thermostable enzymes, EstL5 displayed 24% of its highest activity at 0°C. EstL5 exhibited a high level of activity within a pH range of 6.0-11.0, showing the highest activity at pH 8.0. EstL5 also retained 100% of its activity after a 12-h incubation at 55°C. Furthermore, this enzyme was observed to be strongly inhibited by 10% (w/v) SDS and 0.1 mM PMSF.
    Journal of Bioscience and Bioengineering 09/2012; · 1.74 Impact Factor
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    ABSTRACT: Using the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth, we explored the characteristics and differences in the response to drought of five vegetation biomes in Northeast China, including typical steppe, desert steppe, meadow steppe, deciduous coniferous forest and deciduous broad-leaved forest during the period 1982-2009. The results indicate that growing season precipitation may be the primary vegetation growth-limiting factor in grasslands. More than 70% of the temporal variations in NDVI can be explained by the amount of precipitation during the growing season in typical and desert steppes. During the same period, the mean temperature in the growing season could explain nearly 43% of the variations in the mean growing season NDVI and is therefore a dominant growth-limiting factor for forest ecosystems. Therefore, the NDVI trends differ largely due to differences in the vegetation growth-limiting factors of the different vegetation biomes. The NDVI responses to droughts vary in magnitude and direction and depend on the drought-affected areas of the five vegetation types. Specifically, the changes in NDVI are consistent with the variations in precipitation for grassland ecosystems. A lack of precipitation resulted in decreases in NDVI, thereby reducing vegetation growth in these regions. Conversely, increasing precipitation decreased the NDVI of forest ecosystems. The results also suggest that grasslands under arid and semi-arid environments may be more sensitive to drought than forests under humid environments. Among grassland ecosystems, desert steppe was most sensitive to drought, followed by typical steppe; meadow steppe was the least sensitive.
    Advances in Atmospheric Sciences 09/2012; 29(5):1063-1077. · 1.34 Impact Factor
  • Huabin Chen, Yong Zhang, Yang Zhao
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    ABSTRACT: This paper studies the problem of the robustly stability analysis for uncertain neutral systems with discrete and distributed delays, and the uncertainties under considerations are norm-bounded. By constructing an appropriate Lyapunov–Krasovskii functional, some new delay-dependent criteria can be obtained by using the free-weighting matrices approach to estimate the derivative of the Lyapunov functional, which are established in terms of linear matrix inequalities (LMIs). The novelties in this paper are that any bounding technique and any mode transformation method are not utilized, and the decisive variables are much fewer than ones involved in existing literatures. Finally, three numerical examples are presented to illustrate the significant improvement on the conservatism of the delay bound over some reported results in the literature.
    Applied Mathematics and Computation 08/2012; 218(23):11351–11361. · 1.35 Impact Factor
  • Yong Zhang, Huajing Fang, Tianyu Jiang
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    ABSTRACT: In this article, we are concerned with the fault detection (FD) problem for nonlinear networked control systems (NCSs) with network-induced stochastic interval delay. By employing the information of probabilistic distribution of networked-induced time-varying delay, nonlinear constraint and the FD filter, nonlinear stochastic delay system model is established. Based on the obtained nonlinear model, utilising FD filter as residual generator, FD of nonlinear NCSs is formulated as nonlinear H ∞-filtering problem. Especially, the stochastic stability and prescribed H ∞ attenuation level are achieved using the Lyapunov functional approach, the desired FD filter is constructed in terms of certain linear matrix inequalities, which depends on not only nonlinear level but also on delay-interval and delay-interval-occurrence-rate. Numerical examples are provided to illustrate the effectiveness and applicability of proposed technique.
    International Journal of Systems Science 05/2012; 43(5):952-960. · 1.31 Impact Factor
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    Lemen Chao, Yong Zhang, Chunxiao Xing
    02/2012; , ISBN: 978-953-51-0074-4
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    ABSTRACT: We propose a dual hash tables algorithm which can realize the durable top-k search. Two hash tables are constructed to keep the core information, such as score and time in the inverted lists. We use the key-value relationships between the two hash tables to calculate the scores which measure the correlations between a keyword and documents, and search the versioned objects that are consistent in the top-k results throughout a given query interval. Finally, we use data from Wikipedia to demonstrate the efficiency and performance of our algorithm.
    Web Information Systems and Applications Conference (WISA), 2012 Ninth; 01/2012
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    ABSTRACT: Nowadays, the data-intensive applications and IoT applications have gained a very big development in the cloud environment. All these applications need to process massive data. How to process these massive data effectively is becoming very important in the cloud environment. In this paper, we designed an efficient massive data processing model in the cloud. This model can be used to process all kinds of structured data resources, semi-structured data resources and non-structured data resources together. We introduced some key components in this model and give some key algorithms in our model.
    ChinaGrid Annual Conference (ChinaGrid), 2012 Seventh; 01/2012
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    ABSTRACT: The popularity of Web 2.0 and social networking has greatly promoted user interactions in Internet services and changed the service delivery model. As typical Internet service providers, traditional digital repositories are facing two increasing demands: introducing user participation and providing personalized services. For the former, annotating digital resources and sharing the annotations with other users has been a natural service paradigm in the social networking context. For the latter, user-generated annotations in return can help digital repositories to supply personalized services such as recommendation. This paper proposes a Generic Annotation and Recommendation Service System (GARSS), which provides a SaaS solution to enhancing digital repositories with annotation and recommendation services. We presented the design and implementation of GARSS, and an example is shown to demonstrate the usage of GARSS services.
    Computer Software and Applications Conference Workshops (COMPSACW), 2012 IEEE 36th Annual; 01/2012

Publication Stats

82 Citations
37.03 Total Impact Points

Institutions

  • 2014
    • National Huaqiao University
      Amoy, Fujian, China
  • 2009–2014
    • Yancheng Teachers University
      Ching-yen-hsien, Sichuan, China
  • 2011–2013
    • Hebei Normal University
      Chentow, Hebei, China
  • 2010–2013
    • Wuhan University of Science and Technology
      Wu-han-shih, Hubei, China
  • 2007–2013
    • Fudan University
      • Institute of Genetics
      Shanghai, Shanghai Shi, China
  • 2011–2012
    • Huazhong University of Science and Technology
      • Department of Control Science and Engineering
      Wuhan, Hubei, China
  • 2006–2012
    • Tsinghua University
      • • Research Institute of Information Technology
      • • Department of Computer Science and Technology
      Peping, Beijing, China