Yong Zhang

National Huaqiao University, Amoy, Fujian, China

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Publications (84)48.54 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). · 0.45 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 09/2014; 82:331–342. · 1.43 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 08/2014; 328:79–87. · 0.57 Impact Factor
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    ABSTRACT: Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++ information. (2) SMRPL (Semantic++ MapReduce Programming Language). It is a declarative programming language which is close to the human thinking and be used to program for big data's applications. (3) Semantic++ MapReduce compilation methods. (4) Semantic++ MapReduce computing technology. It includes three parts. 1) Analysis of semantic++ index information of the data block, the description of the semantic++ index structure and semantic++ index information automatic loading method. 2) Analysis of all kinds of semantic++ operations such as semantic++ sorting, semantic++ grouping, semantic+++ merging and semantic++ query in the map and reduce phases. 3) Shuffle scheduling strategy based on semantic++ techniques. This paper's research will optimize the MapReduce and enhance its processing efficiency and ability. Our research will provide theoretical and technological accumulation for intelligent processing of big data.
    2014 IEEE International Conference on Semantic Computing (ICSC); 06/2014
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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 11/2013; 31(6). · 0.50 Impact Factor
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    ABSTRACT: In this paper, we focus on evaluating different storage strategies of different kinds of data and their index stored in Punt Table. Punt Table is a NoSQL database designed for elastic objects storage. Punt Table uses a schema-free way to store and get the objects and builds indices to support querying the fields inside the objects. In order to achieve high throughput and low latency, Punt Table is designed using multiple content storage engine and index storage engine through two interfaces, Punt Store and Punt Index. Punt Store and Punt Index are designed as the storage layer of Punt Table. Both the objects content and their indices could choose to adopt the most suitable storage layer for current data set. Punt Table was tested and evaluated for the performance of object data and index store combination under test data sets with different single record sizes that are picked to simulate the real application scenarios. The result reveals that the proper configuration of storage layer for a particular data set could improve the throughput and drop the latency dramatically.
    2013 10th Web Information System and Application Conference (WISA); 11/2013
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    ABSTRACT: Electronic records are playing more and more important role in the today's society. However, how to protect the electronic records' security is facing a big challenge, too. The traditional security model such as the PKI can't satisfy the security requirements again. In this paper, we propose a kind of new electronic records security model for long-term preservation, and we name this model PKI-d. In this model, we design an identity card for every electronic record. We modify the model based on the traditional PKI model. Through the electronic record ID card and the PKI-d, we can provide an effect protection mechanism for electronic records' long-term preservation. And now, our security model and methods have been applied in the Beijing archives project. We use this model to provide the security protection for massive archives in the Beijing digital archives.
    2013 10th Web Information System and Application Conference (WISA); 11/2013
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    ABSTRACT: Key-value data store has been widely used in e-commerce systems. The availability issue, which means no data loss and continuous service to users, is quite essential in such systems. This paper presents a lightweight, highly available architecture of key-value data store. This architecture uses a Paxos-based replication protocol to make synchronous replications among replicas. The replication protocol enjoys good performance and consistency, and proves to fit key-value model well. By integrating the high-performance replication module with local data store engine, the real system implemented can tolerant up to (N/2-1) failures without any loss of data and provide continuous service as usual. With these desired properties, the system can be used to develop highly available e-commerce systems and provide "always-on" services to users.
    2013 10th Web Information System and Application Conference (WISA); 11/2013
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    ABSTRACT: Geographic information system is more and more widely used in our daily lives, it plays an increasingly important role in transportation, urban planning, and resource management. An effective testing method is required to ensure the correctness. At the same time, MongoDB can provide applications with lightweight scalability and high-performance data storage solutions. This paper uses CppUnit unit testing tool to test GIS applications read and write operations interface whose data is distributed in MongoDB. Based on CppUnit unit testing framework, we design the GIS application interface testing framework. Writing GIS application interface functions with the idea of Test-Driven development. Then we generated 500 million test data by the coordinate pan with the Beijing area MapInfo data and doing a detailed functional test for GIS interface.
    2013 10th Web Information System and Application Conference (WISA); 11/2013
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    ABSTRACT: The Web File Management System (WFMS) is a distributed file system, which is designed for frequency reading of various file sizes. It consists of one single master and multi data servers. We use blocks to store data, which contains different size of chunks. The block/chunk mechanism achieves nearly 100% utilization of block. We also design hot block to raise the reading speed of frequency blocks through increasing the replicas automatically. WFMS works on the web exposing Restful services and providing authority control. Besides, we implement our search engine with Lucene which provides query service by file name, file size, file type, date, owner and so on. Until now, our system has stored over 40TB data which contains more than 2 million files and it has worked stably for two years.
    2013 10th Web Information System and Application Conference (WISA); 11/2013
  • 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. · 0.57 Impact Factor
  • 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. · 0.57 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: This paper concerns on the aluminum foam material modeling and identification of constitutive parameters at high strain rates. Lured by its excellent energy absorption capacity under the impact conditions, aluminum foam has been widely used in automotive and aerospace industry as a lightweight filler material. Nevertheless, aluminum foam shows different mechanical properties at low and high plastic deformation rates, moreover, in the engineering practice, the occurrence of high strain rate appears more often than low strain rate. Generally speaking, to obtain the constitutive model parameters of aluminum foam material, a large number of expensive experiments need to be conducted. In addition, the plastic deformation behavior of aluminum foam at high strain rate follows a highly non-linear dynamic process, and its parameter identification requires much more complex numerical procedure. For these reasons, this paper proposes a new procedure to predict Deshpande and Fleck (DC) model parameters for aluminum foam based on successive artificial neural network (SANN) technique and particle swarm optimization (PSO) algorithm. Finite element analyses are performed by using Design of Experiment (DoE) method to establish the SANN model for each of the five constitutive parameters of the DC model. The constitutive model parameters with the minimum discrepancy between experimental and SANN curves are obtained by using the surrogate modeling and PSO methods. Finally, this approach is validated by comparing the FE modeling results against the experimental results. This study demonstrates the effectiveness of such a three phase identification procedure comprising experimentation, optimization, and verification. It provides a useful means for parametric identification of other similar lightweight foam or porous materials.
    Computational Materials Science 06/2013; 74:65–74. · 1.88 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 02/2013; 221:534–543. · 3.89 Impact Factor
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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: 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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    Nonlinear Dynamics 10/2012; 70(1). · 2.42 Impact Factor
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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.

Publication Stats

204 Citations
48.54 Total Impact Points

Institutions

  • 2012–2014
    • National Huaqiao University
      Amoy, Fujian, China
    • China Meteorological Administration
      Peping, Beijing, 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
      • Department of Computer Science and Technology
      Peping, Beijing, China