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Modular multiplication, addition, and subtraction being the core operation of Elliptic curve public(ECC) system, the decrease of area and the merging of structure have been a hot topic in recent years. This paper first analyzes the difference between multiplication type and addition type of modular multiplier. Then, Combined with the structural characteristics of the modular adder, and mixing modular...
This paper studies a distributed dynamic resource allocation problem for a multi-agent network with a strongly connected digraph, which has increased an equality constraint for individual node requirement from the point of dynamic prediction horizon. Each agent at each prediction horizon in the network is associated with a local resource and a quadratic convex cost function. The goal is to minimize...
Graph embedding, as a dimensionality reduction framework, has already drawn great attention in hyperspectral image analysis. Taking locality preserving projection (LPP) as example, LPP utilizes typical Euclidean distance in heat kernel to create an affinity matrix and projects the high-dimensional data into a lower-dimensional space. However, the Euclidean distance is not sufficiently correlated with...
Differential Evolution (DE) is obviously one of the most powerful and versatile evolutionary algorithm for solving many complex real-world optimisation problems e ciently in recent times. Since their introduction in 1995, the focus of research in DEs has largely been on the variants side with so many new algorithms proposed on the original DE algorithm. However, each operator is only suitable for...
This paper presented an exponential smoothing gray model ESGM(1,1) analysis in fall detection signal analysis. The fall detection is a popular research topic in health care fields that combined wearable device real time detection older person situation. Gray model GM(1,1) prediction algorithms reinforced person fall signal which detected fall situation more quickly. In the experimental results, we...
Most of the existing underdetermined blind source separation (BSS) approaches assume that the source signals are strictly or partially sparse. This paper, however, presents a BSS method in underdetermined mixing situation for non-sparse signals based on the local mean decomposition (LMD) algorithm. The BSS method firstly introduces LMD into the BSS problem to rebuild a few extra mixing signals. Such...
Coarse-grained reconfigurable array (CGRA) has an advantage in the implementation of symmetric cryptographic algorithms with high performance and flexibility. Specially, interconnection network is used to connect each Processing Element (PE), which plays an important role in mapping performance and adaptability of algorithms. In this paper we analyze the structure of Coarse-Grained Reconfigurable...
An improved local mean decomposition method is presented to compute the data of GMA signals, aiming at the non-stationary and non-linear time-varying characteristics of the GMA signals. The spline interpolation function method is used to compute local mean functions and envelope functions instead of smooth moving average method, which increases the accuracy and convergence rate of the algorithm. The...
With the popularity of Internet of Things technology in consumer electronic product, the security of data in these devices is becoming increasingly important. However, common encryption schemes are not well suited for these resource-constrained devices. To solve this problem, a low-cost SM4 implementation structure based on resource reutilization is proposed in this paper. The round function and key...
In the last decade, consumer-grade waterproof digital cameras have been available more readily, allowing a more straight-forward application of underwater stereo photogrammetry, with the goal of obtaining high-quality DEMs. This paper presents our work into 3D river-bed reconstruction, using a GoPro Hero 3 black edition camera based on Tsai's calibration. The objective of this paper is to identify...
In this paper, an FPGA based SAR extended object simulator is presented focused on backscattering coefficients computing. It is aimed to be used for hardware-in-the-loop SAR raw signal simulation with applications in UAV or other platforms SAR sensors test and assessment. This simulator is based on geometrical optics (GO) model and can work in real time. The GO algorithm is analyzed and implemented...
Aiming at the problem of heterogeneous multi-UAVs' cooperative task assignment when accomplishing attack and damage evaluation tasks. We put forward a hybrid algorithm GSA-GA (Gravitation Search Algorithm — Genetic Algorithm), which is a combination of the gravitation search algorithm and genetic algorithm. In this hybrid algorithm, a new code and decode scheme for the GSA particles are given. We...
In this paper, we consider the problem of decentralized task assignment in a network of UAVs. Given a set of task-areas need to be reconnoitered, this problem concerns the non-overlapping allocation of task-areas to UAVs for the purpose of maximizing the sum of the UAV's utility functions. We bring an effective Improved Particle Swarm Optimization (IPSO) algorithm for this decision-making problem...
Coarse-grained reconfigurable block encryption array (REBA) provides massively parallel computing resources but traditional mapping scheme does not develop the advantages of REBA. In this paper, aiming to improve the performance and resource efficiency of algorithm mapping, we research the structure of familiar block cipher algorithm, and propose the speed-up model based on loop unrolling and the...
To realize the high-speed performance of the processor, we need to research an efficient and flexible interconnection structure. In this paper, we propose a multistage interconnect structure based on Crossbar in the Coarse-Grained Reconfigurable Logic Array (CGRLA). Inner internet implements the connection of Functional operation unit flexibly and the outer internet implements the data transmission...
In this paper, a high-flexibility and energy-efficient reconfigurable symmetric cryptographic processor architecture is presented, which is based on very-long instruction word (VLIW) structure. By analyzing basic operations and storage characteristics of symmetric ciphers, the application-specific instruction-set system for symmetric ciphers is proposed. Eleven kinds of reconfigurable cryptographic...
One of the key challenges in additive manufacturing processes is to slice 3D CAD models with a simple and efficient algorithm. This paper proposes a new algorithm of slicing CAD models which are represented in STL format into a set of layers. In this algorithm, the 3D model should be saved as STL format file. According to the required thickness of layers, the 3D model can be sliced into a series of...
As traditional spectrum sensing approaches unable to deal with the contradiction between detection accuracy and complexity in cognitive radio network, a novel q-weighed sequential cooperative energy detection method for spectrum sensing in time varying channel is proposed in this paper to achieve better performance with lower complexity. By adding the q- weighted log likelihood ratio (LLR) of the...
This paper proposes a novel solution to solve the problem of imbalanced training samples in hyperspectral image classification. It consists of two parts: one is for large-size sample sets and the other is for small-size sets. We exploit an orthogonal projection based algorithm to select samples from large-size ones; meanwhile, we propose an algorithm based on the orthogonal complementary subspace...
This paper presents a novel method of on-line robust fault-tolerant model predictive control where the response of the reference trajectory closed-loop model is followed even in the presence of an actuator fault. A particular design of off-line observer is used to reject the external disturbance using linear matrix inequality (LMI) techniques. In order to satisfy the requirement of on-line robust...
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