Abstract: The security of cloud data is one of the most important factors to obstruct the development of cloud computing. Therefore, on the basis of proposed three-tiers cloud architecture that consists of physical resources layer, virtual component layer, and...
Abstract: Users’ offloading tasks and offloading frequencies in Mobile Edge Computing(MEC) may cause users to be locked out. A privacy-preserving computation offloading method based on k-anonymity is proposed in this paper. Firstly, based on the differences be...
Abstract: The Attribute-Based Encryption (ABE) mechanism is one of the key technologies for implementing flexible access control of data in cloud storage. However, the existing ABE schemes have some problems, such as too much ciphertext storage overhead and us...
Abstract: ACE as an authenticated encryption algorithm is selected as one of the round 2 candidates of the lightweight crypto standardization process. Since its excellent design advantages, e.g. simple structure, high performance in software and hardware, and ...
Abstract: Commonly used heterogeneous information networks include knowledge graphs and heterogeneous information networks with simple schemas. Their representation learning follows usually different methods. The similarities and differences between knowledge ...
Abstract: Class imbalance always exists in the process of network traffic classification. Considering the problem, a new feature selection algorithm using Weighted Symmetric Uncertainty (WSU) and Approximate Markov Blanket (AMB) is proposed. Firstly, a feature...
Abstract: Existing segmentation based methods have problems, such as the difficulty in distinguishing adjacent text areas and the low efficiency of model detection caused by the complex steps in the post-processing stage. In order to solve this problem, this a...
Abstract: Iris recognition faces two important issues. they are how to decompose finely and reconstruct the spherical image of the iris, and how to identify the characteristics of the iris. Conventional iris recognition uses usually the planar features of thes...
Abstract: The algorithm of Bisecting K-means obtains multiple clustering results by using a set of initial center pairs to segment a cluster, and then selects the best from them to mitigate the adverse effect of the local optimal convergence on the performance...
Abstract: The Stochastic Gradient Descent (SGD) algorithm randomly picks up a sample to estimate gradients, creating big variance which reduces the convergence speed and makes the training unstable. A Distributed SGD based on Average variance reduction, called...
Abstract: This paper proposes a multi-focus image fusion algorithm based on super pixel-level Convolutional Neural Network (sp-CNN). In this method, multi-scale super pixel segmentation is firstly applied to the source image to obtain the super pixels. Secondl...
Abstract: A novel method for Digital Surface Model (DSM) reconstruction of single-view remote sensing image is proposed which only relies on light detection and ranging data. Based on deep learning technology, a semantic segmentation network with an encode-dec...
Abstract: To deal with the problem of missing information caused by zero-shot image classification during building a shared attribute layer, a compensation method is proposed to embed the attribute correlation. The proposed zero-shot classification utilizes Se...
Abstract: The glioma detection and focus segmentation in Magnetic Resonance Imaging (MRI) has important value for the therapeutic schedule selection and the surgical operations. In order to improve the detection efficiency and segmentation accuracy for glioma,...
Abstract: In order to improve the positioning accuracy of mobile robots in Simultaneous Localization And Mapping (SLAM), a bionic localization algorithm based on Growing Self-Organizing Map(GSOM) neural network is proposed. The method connects the activation c...
Abstract: Image retargeting technologies require important information preservation and less edge distortion during increasing/decreasing image size. The seam carving based algorithms, as the classic retargeting model, receive widespread attention in recent ye...
Abstract: The core of the dynamic flight pricing is to yield a pricing strategy with maximum seat revenue. The state-of-the-art flight pricing approaches are built on forecasting the fare demand. They suffer low profit due to the inaccurate prediction. To tack...
Abstract: Under the directed network topology, the consensus of the second order multi-agent system with large communication delay is studied, the protocol of delayed-state-derivative feedback with weighting term is proposed, which improves the problem of syst...
Abstract: In view of the nonlinear and chaos of urban short-term traffic flow sequence, this article proposes a combined prediction model based on multi-dimensional spatio-temporal Nonlinear Principal Component Analysis (NPCA) and Phase Space Reconstructed (PS...
Abstract: Resistance spot welding is a complex process in which many factors interact. Given the small size of data sets available and the complex nature of unstable processes, it is difficult to establish an accurate mathematical model to predict the paramete...
Abstract: With the continuous development of the Internet of Things(IoT), its business demands show a trend of diversification and globalization. As the ground Internet of Things can not cover the whole world, the satellite IoT, especially the Low Earth Orbit ...
Abstract: In order to overcome the complicated implementation to process tail data in high bit-width Cyclic Redundancy Check(CRC) calculation for variable length packet, linear matrix computation is used to investigate CRC inverse calculation. And a rollback a...
Abstract: In view of the challenges of 5G communication technology with high speed and multiple service scenarios, this paper proposes a new component-based Software Defined wireless access Network (SDN) architecture. Based on the architecture of Centralized U...
Abstract: With the rapid development of the Internet of Vehicles (IoV), the number of cars and users requesting tasks offloading is also increasing. The Mobile Edge Computing (MEC) can effectively solve the challenge of high offload transmission delays for tas...
Abstract: The performance of Generalized Frequency Division Multiplexing (GFDM) systems significantly degrades over time-frequency doubly selective channels due to the severe inter-carrier interference and inter-subsymbol interference. To this end, a Time-Offs...
Abstract: Taking the advantage of the parallel development of electronic sampling systems and signal processing, Digital Radio-over-Fiber (DRoF) is studied extensively as a way of providing multi-service transmission at low-bit rate through data compression. H...
Abstract: In the process of solving the problem of slow impedance calculation speed in the design of Radio Frequency IDentification (RFID) tag antenna, a method of impedance prediction based on polynomial for folded dipole RFID tag antenna is proposed in view ...
Abstract: Compared with the traditional continuous model, the mixed continuous model weakens the impedance condition and simplifies the difficulty of broadband matching. In this paper, a new type of harmonic control network used a hybrid continuous model and b...
Abstract: This paper focuses on the Low-Density-Parity-Check (LDPC) decoder for 5G New Radio (NR) specification. After introducing the characteristics of the LDPC code in 5G NR, the performance of different decoding algorithms are compared, and then the overal...
Abstract: The major drawbacks of MultiCarrier Differential Chaos Shift Keying (MC-DCSK) system are relating to low data rate and poor bit error performance. Therefore a Quadrature MultiCarrier Noise Reduction Differential Chaos Shift Keying (QMC-NR-DCSK) syste...
Abstract: Resource allocation in Multi-Cell hybrid Non-Orthogonal Multiple Access-orthogonal multiple access (MC-hybrid NOMA) networks is studied in this paper. To satisfy the Quality of Experience (QoE) of different service types of users, an algorithm joint ...
Abstract: For the problem of long code Direct Sequence-Code Division Multiple Access (DS-CDMA) signal in traditional asynchronous single-channel with multipath effect under low Signal-to-Noise Ratio (SNR), including blind estimation of the Pseudo-Noise (PN) se...
Abstract: For the conventional histogram signal deinterleaving algorithm’s drawback of stagger signal, a histogram algorithm based on corresponding of pulse interval and single pulse is proposed. This algorithm utilizes the corresponding of pulse pair interval...
Abstract: Passive radar uses third party radiation source, which is uncontrollable. Due to the complicated electromagnetic propagation conditions, especially in a low altitude target detection, the detection performance of the radar is greatly affected by clut...
Abstract: Single-observer Multi-illuminator radars localize multiple moving targets using multiple Bistatic Range (BR) and Bistatic Range Rate (BRR) measurements. However the existence of the biases would degrade the localization performance. A novel joint loc...
Abstract: Integration has become the most important development direction of modern electronic system, and so is radar system. Modern direct-conversion technology has the characteristics of low cost, small size, simple structure and high integration. It has be...
Abstract: Rotating phased array multi-function radar have electronically scanning capability both in elevation and in azimuth. It can allocate time and energy both in azimuth and elevation more flexible than the mechanical scanning radar. In order to optimize ...
Abstract: The three-Dimensional (3D) radar imaging mathods based on sparse representation by the scattering intensity of imaging sceen has a poor representation of geometric details on the shape of the target, which isn’t conducive to target recognition. First...
Abstract: An optimal path planning problem is investigated for Angle-Of-Arrival (AOA) source localization using Unmanned Aerial Vehicles (UAVs) equipped with passive sensors. The more realistic model is considered where the variance of AOA measurement noises i...