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  • Verifiable Outsourcing of High-Degree Polynomials and Tts Application in Keyword Search
  • Abstract In big data era, people cannot afford more and more complex computation work due to the constrained computation resources. The high reliability, strong processing capacity, large storage space of cloud computing makes the resource-constrained clients remotely operate the heavy computation task with the help of cloud server. In this paper, a new algorithm for secure outsourcing of high degree polynomials is proposed. We introduce a camouflage technique, which the real polynomial will be disguised to the untrusted cloud server. In addition, the input and output will not be revealed in the computation process and the clients can easily verify the…
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  • A Complex Networked Method of Sorting Negotiation Demand Based on Answer Set Programs
  • Abstract With the development of big data science, handling intensive knowledge in the complex network becomes more and more important. Knowledge representation of multi-agent negotiation in the complex network plays an important role in big data science. As a modern approach to declarative programming, answer set programming is widely applied in representing the multi-agent negotiation knowledge in recent years. But almost all the relevant negotiation models are based on complete rational agents, which make the negotiation process complex and low efficient. Sorting negotiation demands is the most key step in creating an efficient negotiation model to improve the negotiation ability of…
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  • Study for Multi-Resources Spatial Data Fusion Methods in Big Data Environment
  • Abstract The rapid development and extensive application of geographic information system (GIS) and the advent of the age of big data bring about the generation of multi-resources spatial data, which makes data integration and fusion share more difficult due to the differences on data source, data accuracy and data modal. Meanwhile, study for multi-resources spatial data fusion methods has an important practical significance for reducing the production cost of geographic data, accelerating the updating speed of existing geographical information and improving the quality of GIS big data. To expound the formation and developing trends of multi-resources spatial data fusion methods systematically,…
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  • An Efficient Hybrid Algorithm for a Bi-objectives Hybrid Flow Shop Scheduling
  • Abstract This paper considers the problem of scheduling n independent jobs in g-stage hybrid flow shop environment. To address the realistic assumptions of the proposed problem, two additional traits were added to the scheduling problem. These include setup times, and the consideration of maximum completion time together with total tardiness as objective function. The problem is to determine a schedule that minimizes a convex combination of objectives. A procedure based on hybrid the simulated annealing; genetic algorithm and local search so-called HSA-GA-LS are proposed to handle this problem approximately. The performance of the proposed algorithm is compared with a genetic algorithm…
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  • Fault Diagnoses of Hydraulic Turbine Using the Dimension Root Similarity Measure of Single-valued Neutrosophic Sets
  • Abstract This paper proposes a dimension root distance and its similarity measure of single-valued neutrosophic sets (SVNSs), and then develops the fault diagnosis method of hydraulic turbine by using the dimension root similarity measure of SVNSs. By the similarity measures between the fault diagnosis patterns and a testing sample with single-valued neutrosophic information and the relation indices, we can determine the main fault type and the ranking order of various vibration faults for predicting some possible fault trend. Then, the comparison of the fault diagnoses of hydraulic turbine based of the proposed dimension root similarity measure and the existing cotangent similarity…
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  • Finite Element Analysis of a Newly Designed Straight Three-layered Seale Wire Strand
  • Abstract A new geometry design method of three-layered Seale wire strand is proposed. The included angle between adjacent helical wires in the same layer, which is assumed as zero in the conventional design method, can be predefined arbitrarily by using the new method. The key process of deriving the diameter ratio of each layer wires was formulated into a one-dimensional problem and golden section method was applied to solve the problem efficiently. Finite element analysis of the newly developed three-layered Seale strand was also implemented by using a concise finite element model (FEM) which takes full advantage of the helical symmetry…
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  • Vibration Damping Design and Testing Research of Space Payload Cabinet
  • Abstract Space payloads which installed on spacecraft such as satellites and airships are usually experienced random vibrations and low-frequency sinusoidal vibrations during launching. In this paper, a space payload cabinet is introduced, and the damping design is carried out by applying constrained viscoelastic damping layer to the surfaces of the cabinet to ensure that the space payloads can withstand the above-mentioned mechanical environmental conditions. A reliable connection between the space payload cabinet and the shaking table is achieved through the vibration test fixture. The basic requirements for the function and design of the vibration test fixture are presented. A method for…
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  • Personal Data Security and Supervision in the Age of Large Data
  • Abstract Big data’s fast growth and development has triggered the attention of academic circles. Most of the studies are focusing on the concept of personal data, the definition of data rights, etc. In China, the current status of laws protecting personal data is still scarce and incomplete, relying on specific regulations that are lacking an overall architecture, which has not been efficient in the age of rapid development and application of big data. In the western countries with relatively mature personal data supervision system, the supervision principle is centered on the data subject, and it is difficult to adapt to the…
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  • Application of Euler-Poincaré Characteristic in the Prediction of Permeability of Porous Media
  • Abstract In this paper, a new model is proposed to predict the permeability of porous media. This model introduces the Euler-Poincaré Characteristic (Euler Number), a parameter that reflects the connectivity of porous media. Using fractal and percolation theory, we establish a permeability model as a function of critical radius, porosity and Euler number. In order to relate the result to the Euler number, we introduce the Connectivity Function to calculate the critical aperture in the percolation theory, then calculate the percolation threshold value, and establish the relationship between the percolation threshold and the Euler number. The validity of the model is…
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  •   Views:550       Downloads:759        Download PDF
  • Modeling Analysis for Positioning Error of Mobile Lidar Based on MultiBody System Kinematics
  • Abstract The assembly error of the supporting component in Mobile Lidar has an inevitable influence on the positioning accuracy and the system error. In this paper, we applied the multi-body system kinematics principle and the homogeneous coordinate transformation to infer the final pointing error formula which influences the three-axis error model of the Mobile Lidar. The influence of each error item on the positioning accuracy (pointing accuracy) of radar system is analyzed by computer simulation, and the motion law between each axis of radar supporting component is discussed, which has laid the base for researching the positioning accuracy of Mobile Lidar.
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  •   Views:551       Downloads:499        Download PDF
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