2018 5th International Conference on Information Science and Control Engineering (ICISCE)

20-22 July 2018

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  • [Title page i]

    Publication Year: 2018, Page(s): 1
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  • [Title page iii]

    Publication Year: 2018, Page(s): 3
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  • [Copyright notice]

    Publication Year: 2018, Page(s): 4
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  • Table of contents

    Publication Year: 2018, Page(s):5 - 29
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  • Message from the ICISCE 2018 General Chairs

    Publication Year: 2018, Page(s): 30
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  • Message from the ICISCE 2018 Program Chairs

    Publication Year: 2018, Page(s): 31
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  • ICISCE 2018 Organizing Committee

    Publication Year: 2018, Page(s): 32
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  • ICISCE 2018 Program Committee

    Publication Year: 2018, Page(s):33 - 36
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  • ICISCE 2018 Reviewers

    Publication Year: 2018, Page(s):37 - 40
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  • 3D Waveform Oscilloscope Implemented on Coupled FPGA-GPU Embedded System

    Publication Year: 2018, Page(s):1 - 5
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (427 KB) | HTML iconHTML

    FPGA is widely adopted in computing acceleration. In recent years, the embedded GPU on mobile SoC supports OpenCL development which allows GPU to be used in the general-purpose computing. However, the study of cooperation of FPGA and SoC-based mobile GPU in an embedded system is still lacking. We propose methods of cooperation of the FPGA and GPU, which supports software and hardware task partitio... View full abstract»

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  • A 2.5D Cancer Segmentation for MRI Images Based on U-Net

    Publication Year: 2018, Page(s):6 - 10
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (488 KB) | HTML iconHTML

    Existing image segmentation methods are mostly confined to the 2D plane, which only considers image information in one direction. As a classic image segmentation framework with 2D CNN framework, U-Net needs more improvement in segmentation accuracy. Moreover, 3D CNNs require heavy computational cost. In order to balance between the segmentation accuracy and the computational cost, this paper mainl... View full abstract»

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  • A Cheat-Proof Secret Sharing Scheme Based on Algebraic Codes

    Publication Year: 2018, Page(s):11 - 15
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (140 KB) | HTML iconHTML

    In order to improve the security of information, we presented a cheat-proof secret sharing scheme based on [n; k] algebraic codes over Fq in this paper. The scheme has very high security and information rate. It is easy to use this scheme to construct a new scheme from the constructed one without recovering secret, thus to increase or decrease the shareholders and to enlarge the subset of shares w... View full abstract»

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  • A Deep Fully Convolution Neural Network for Semantic Segmentation Based on Adaptive Feature Fusion

    Publication Year: 2018, Page(s):16 - 20
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (462 KB) | HTML iconHTML

    Fully convolutional neural network is a special deep neural networks based on convolutional neural networks and are often used for semantic segmentation. This paper proposes an improved fully convolutional neural network which fuses the feature maps of deeper layers and shallower layers to improve the performance of image segmentation. In the process of feature fusion, adaptive parameters are intr... View full abstract»

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  • A Fast Image Matching Algorithm and the Application on Steel-Label Recognition

    Publication Year: 2018, Page(s):21 - 24
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (288 KB) | HTML iconHTML

    This paper presents a kind of image matching algorithm based on two steps matching process. This algorithm could measure the similarity between two images fast and accurately. In the first stage, the color ring-projection transforms the 2-D color image contained in a circular window into 1-D color signals as a function of radius. In the second stage process, a rotation invariance moments based on ... View full abstract»

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  • A Feasible Method of Virtual Flow Field Simulation - Part I: An Interface from Fluent to RTT

    Publication Year: 2018, Page(s):25 - 29
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (575 KB) | HTML iconHTML

    Dassault Systèmes' RTT system is a real-time virtual reality one that can achieve a virtual flow field simulation. However, the relative module is not only expensive, but also not satisfied in openness. A novel and feasible method is presented here to realize three-dimensional virtual streamlines based on RTT system without using the relative module in RTT system. An interface system, CFD-RTT, has... View full abstract»

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  • A Feasible Method of Virtual Flow Field Simulation - Part II: Simulation and Visualization in RTT System

    Publication Year: 2018, Page(s):30 - 34
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (621 KB) | HTML iconHTML

    Dassault Systèmes' RTT system is a real-time virtual reality one that can achieve a virtual flow field simulation. However, the relative module is not only expensive, but also not satisfied in openness. A novel and feasible method is presented here to realize three-dimensional virtual streamlines based on RTT system without using the relative module in RTT system. In this part, the streamlines are... View full abstract»

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  • A General Modeling Framework of Combat-Oriented Communication Simulation System

    Publication Year: 2018, Page(s):35 - 39
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    As a carrier and transmission channel of information, the communication system is a sub-part of the combat simulation system. The modeling of communication systems is an important part of the combat simulation process. In view of the deficiencies in the existing modeling and simulation of communication systems, the model architecture of military communication systems in combat simulation is presen... View full abstract»

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  • A Method for Building Shared Massive Heterogeneous IoT Data Environment

    Publication Year: 2018, Page(s):40 - 45
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (302 KB) | HTML iconHTML

    With the rapid development of the Internet of Things (IoT), the IoT is characterized by a wide variety of data sources, large scale and heterogeneous structure. Those characteristics bring great difficulties to the storage and rapid retrieval of IoT data. By considering the common attributes of IoT data, based on plug-in ideas, combined with Redis and HBase, the paper proposes a framework named HS... View full abstract»

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  • A Method of Underwater Acoustic Signal Classification Based on Deep Neural Network

    Publication Year: 2018, Page(s):46 - 50
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1113 KB) | HTML iconHTML

    As an important precondition for underwater acoustic signal analysis and underwater target detection & identification, classification of underwater acoustic sensor signal (especially in low signal-to-noise ratio) has become a research focus on underwater acoustic sensor signal processing in terms of complicated acoustic environment and increasingly slighter target noise. Mel-Frequency Cepstrum... View full abstract»

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  • A Method to Accelerate the Training of WGAN

    Publication Year: 2018, Page(s):51 - 54
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (238 KB) | HTML iconHTML

    Generative adversarial network draw much attention in recent years because of its impressive results. The idea of adversary was cleverly introduced to the training of the network. And the result was used in the value function to evaluate the quality of the network. During the adversarial process, the discriminator was trained to separate the training data from the fake data, and the generator lear... View full abstract»

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  • A Method to Detect Stains in Digital Images of Ancient Works

    Publication Year: 2018, Page(s):55 - 60
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (423 KB) | HTML iconHTML

    As time passes, there are more and more stains in the ancient works for being soiled and destroyed, which make it difficult to process ancient works. A projection operator is proposed and applied in distinguishing the stains from the binary images of ancient works. Firstly, during the image traversal of the ancient works, the projection operator is designed to deal with the vectors constructed on ... View full abstract»

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  • A Mixed Mahalanobis Kernel for Sparse Bayesian Classification

    Publication Year: 2018, Page(s):61 - 65
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (306 KB) | HTML iconHTML

    Relevance vector machine (RVM) is a typical sparse learning model. The most widely used kernel in RVM is Radial Basis Function (RBF), but it is based on the Euclidean distance and don't take the distribution information of training samples into consideration which sometimes leads to a poor performance. Therefore, in this paper, we propose a mixed Mahalanobis kernel for Sparse Bayesian classificati... View full abstract»

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  • A Modified Round-Robin Load Balancing Algorithm Based on Content of Request

    Publication Year: 2018, Page(s):66 - 72
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (466 KB) | HTML iconHTML

    Cluster web servers emerged as a reliable and leading resource in internet infrastructure with the growing demands for web-based applications. The key point is to increase utilization of cluster web servers through an effective and fair load balancing strategy. In this paper, we proposed a new load balancing algorithm, which considers the load and performance information of nodes and the type of r... View full abstract»

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  • A Note on the Convergence of NURBS Curves When Weights Approach Infinity

    Publication Year: 2018, Page(s):73 - 74
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (119 KB) | HTML iconHTML

    In this paper, the convergence of NURBS curves is considered when the weights of a NURBS curve approach infinity. We prove that the limit of the NURBS curve does not exist as the weights tend to infinity and further study the convergence of NURBS curves about pointwise convergence, uniform convergence and L^1 convergence. View full abstract»

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  • A Novel Method of Detecting and Locating the Macula Based on Morphological Features Fitting

    Publication Year: 2018, Page(s):75 - 78
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (222 KB) | HTML iconHTML

    Color retinal images have been widely used in diagnosis and screening of ophthalmic diseases. Macula detection and fovea location in retinal images are important steps in grading and diagnosis of ophthalmic diseases. However, due to the weaker reflection of the macula, it is difficult to determine the fovea accurately by the lack of clear border in the macula. An efficient method for detecting and... View full abstract»

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