A direction of arrival (DOA) estimation algorithm is presented based on the eight unit circular array. It can cover 360° plane excellently. The orthogonal channel code is used. It approaches the DOA of the desire...
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A direction of arrival (DOA) estimation algorithm is presented based on the eight unit circular array. It can cover 360° plane excellently. The orthogonal channel code is used. It approaches the DOA of the desired signal iteratively through the hardware variable phase shifter. The algorithm implementation, the pilot encoding and the pilot placement are discussed. The merits of its accuracy and quick convergence make it suitable to be used in Ad hoc network terminals. Simulation results verified the algorithm.
A password-based dynamic group key agreement protocol from tripartite Diffie-Hellman using pairing on elliptic curve is presented in this paper. In this scheme, due to all users share a common pre-distributed password...
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A password-based dynamic group key agreement protocol from tripartite Diffie-Hellman using pairing on elliptic curve is presented in this paper. In this scheme, due to all users share a common pre-distributed password, the setup of the key agreement is simplified and the performance is improved. In addition, each user establishes a relation between his left and right neighbors respectively in order to implement the fast joining and leaving operations. Under the DDH assumption, proofs are given to show that the proposed key agreement protocol is secure against passive attack.
A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And...
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A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And the neighborhood topology used in FIPS is based on the Pareto rank. Secondly, the crowding distance of individuals is computed in the same Pareto level for the secondary rank. Thirdly, addressing the problem of trapping into the local optimal, the mutation operators based on the coding mechanism are introduced into our algorithm. Finally, the performance of the proposed algorithm is demonstrated by applying it to several benchmark instances and comparing the experimental results.
Synthetic Aperture radar (SAR) image despeckling is an important problem in the SAR applications. A novel despeckling approach using a local contextual hidden Markov model (LCHMM) in the contourlet domain is presented...
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This paper puts forward a novel artificial immune response algorithm for optimal approximation of linear systems. A quaternion model of artificial immune response is proposed for engineering computing. The model abstr...
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This paper puts forward a novel artificial immune response algorithm for optimal approximation of linear systems. A quaternion model of artificial immune response is proposed for engineering computing. The model abstracts four elements, namely, antigen, antibody, reaction rules among antibodies, and driving algorithm describing how the rules are applied to antibodies, to simulate the process of immune response. Some reaction rules including clonal selection rules, immunological memory rules and immune regulation rules are introduced. Using the theorem of Markov chain, it is proofed that the new model is convergent. The experimental study on the optimal approximation of a stable linear system and an unstable one show that the approximate models searched by the new model have better performance indices than those obtained by some existing algorithms including the differential evolution algorithm and the multi-agent genetic algorithm.
Gaussian Processes (GPs) have state of the art performance in regression. In GPs, all the basis functions are required for prediction;hence its test speed is slower than other learning algorithms such as support vecto...
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Particle Swarm Optimization (PSO) is gaining momentum as a simple and effective optimization technique. However, its performance on complex problem with multiple minima falls short of that of the Ant Clony Optimizatio...
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Synthetic aperture radar (SAR) image compression is very important in reducing the costs of data storage and transmission. A new compression Scheme is proposed, which is composed of a multilayered image representation...
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A novel strategy termed as mutation history learning strategy (MHLS) is proposed in this paper. In MHLS, a vector called mutation memory is introduced for each antibody and a new type of mutation operation based on mu...
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