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2007 IET Conference on Wireless, Mobile and Sensor Networks (CCWMSN07)

作者： X. H. Li W. Gao Y. Cheng The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Electronic Science and Technology Anhui University Hefei China

The DS-CDMA signal model and the noisy linear independent component analysis (ICA) model are analyzed in this paper. Comparing these models shows that they have the same form. The adaptive minimum mean-square error (MMSE) multiuse detection based on ICA is proposed. It uses the output of adaptive MMSE multi-user detection to initialize the ICA iterations, not only the known spread information of interesting user is used to overcome the uncertainness of ICA, but also the character of statistical independence is used. The simulation results show that the performance is improved obviously.

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Fractional Fourier digital holography

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通讯和计算机（中英文版） 2007年第5期4卷 52-56页

作者： CAO Yu-ru WEI Sui Department of Education Technique Shanghai Institute of Foreign Trade Shanghai 201620 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University. Hefei 230039 China

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Good Lattice Swarm Algorithm for Constrained Engineering Design Optimization

Good Lattice Swarm Algorithm for Constrained Engineering Des...

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第三届IEEE无线通讯、网络技术暨移动计算国际会议

作者： Shoubao Su Jiwen Wang Wangkang Fan Xibing Yin Key Lab of Intelligent Computing & Signal Processing of the National Education Ministry Anhui Unive Key Lab of Intelligent Computing & Signal Processing of the National Education Ministry Anhui Unive Gear Institute of Lu'an Automotive Gear Manufacture Co. Ltd Anhui Jianghuai Automotive Group Lu'an

Engineering optimization in the intelligence swarm remains to be a challenge. Recently, a novel optimization method based on number-theory and particle swarm, good lattice swarm optimization algorithm(GLSO), is introduced, which intends to produce faster and better global search ability and more accurate convergence because it has a solid theoretical basis. In this paper, four models of constructing good point set are introduced and the GLSO based on new models is rewritten. Some applications of the new model on constrained engineering via employing a penalty function approach suggest that the presented algorithm is potentially a powerful search technique for solving complex engineering design optimization problems.

关键词： good lattice points particle swarm optimization constrained engineering optimization penalty function.

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Good Lattice Points-Based Particle Swarm Optimizer

Good Lattice Points-Based Particle Swarm Optimizer

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International Conference on Natural Computation (ICNC)

作者： Shoubao Su Jiwen Wang Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China Department of Computer Science & Technology West Anhui University Luan China

The mechanism of the classical particle swarm optimization and the comparison criterion of different natural computing methods is investigated by introducing the discrepancy and good lattice points in number theory and proposes a novel optimization method, called good lattice points-based particle swarm optimization algorithm, which intends to produce faster and more accurate convergence because it has a solid theoretical basis and better global search ability, meanwhile the global convergence of the presented algorithm with asymptotic probability one is proved by the property of the optimal lattice. Finally experiment results are very promising to illustrate the outstanding feature of the presented algorithm.

关键词： Lattices Particle swarm optimization signal processing algorithms Convergence Optimization methods Ant colony optimization Algorithm design and analysis signal processing Computer science education Computer science

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A (t, n)-Threshold Verified Multi-secret Sharing Scheme Based on ECDLP

A (t, n)-Threshold Verified Multi-secret Sharing Scheme Base...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Ruanhua Shi Hong Zhong Liusheng Huang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Department of Computer Science and Technology University of Science and Technology Hefei China

In this article, we propose a (t,n) threshold verifiable multi-secret sharing scheme, in which to reconstruct t secrets needs to solve t simultaneous equations. The analysis results show that our scheme is as easy as Yang's scheme [8] in the secret reconstruction and requires less public values than Chien's [7] and Yang's schemes. Furthermore, the shares in our scheme can be verified their validity with t public values based on ECDLP, and there are two verified forms: one is computationally secure as Feldman 's scheme [12] and other is unconditionally secure as Pedersen's scheme [13]. In addition, for the main computation: a i,1 P 1 + a i,2 P 2 + hellip + a i,t P t in our scheme, we present a new method based on the signed factorial expansion and implement it, the results show that it is more efficient than the current public methods. Thus our scheme is a secure and efficient (t,n) threshold verified multi-secret sharing scheme.

关键词： Elliptic curve cryptography Equations Artificial intelligence Distributed computing Elliptic curves Public key cryptography Software engineering Laboratories intelligent networks Computer networks

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A New Multi-objective Fully-Informed Particle Swarm Algorithm for Flexible Job-Shop Scheduling Problems

A New Multi-objective Fully-Informed Particle Swarm Algorith...

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International Conference on Computational Intelligence and Security Workshops (CISW)

作者： Zhao-hong Jia Hua-ping Chen Jun Tang Department of Information Management and Decision Science University of Science and Technology Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

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.

关键词： Particle swarm optimization Scheduling algorithm Computational intelligence Topology Genetic mutations Ground penetrating radar Information security Processor scheduling Information management Competitive intelligence

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A novel image content authentication algorithm based on Laplace spectra feature

A novel image content authentication algorithm based on Lapl...

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26th Chinese Control Conference, CCC 2007

作者： Wanli, Lv Yutang, Guo LuoBin Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Computer Department Anhui Institute of Education Hefei 230061 China

ISBN: (纸本)7900719229

A novel image content authentication algorithm based on Laplace spectra was proposed. Outstanding feature points are extracted from the original image and a cipher point is inserted. A relational graph is then built, and the Laplace spectra of the graph are calculated to serve as image features. The Laplace spectra are quantized then embedded into the original image as a watermark. In the authentication step, the Laplace spectra of the authenticating image are calculated and compared with that of the watermark embedded in the authenticating image. If both of the spectra are identical, the image passes the authentication test. Otherwise, the tamper is found. The experimental results show that the proposed authentication algorithm can effectively detect the event and the location when the original image content is tampered viciously.

关键词： Laplace equation

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A Novel Representation of Concept Hierarchy Based on Quotient Space Model

A Novel Representation of Concept Hierarchy Based on Quotien...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Xue-jun Li Long-shu Li Ling Zhang Yi Xu Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University of Science and Technology Hefei China School of Computer Science and Technology Anhui University of Science and Technology Hefei China

Concept hierarchies are important in many generalized data mining applications, such as multiple-level fuzzy association rule mining. Usually concept hierarchies are given by domain experts. However, it is extremely difficult and time-consuming for human experts to discover concepts and construct concept hierarchies from the domain. In literature, several representations of concept hierarchy are possible, for example tree, lattice, table, linked list, arbitrary graph etc. In this paper, we apply quotient space model to representing concept hierarchies. In contrast to others, the representation model is much more extensible and compatible. The results indicate that this technique can improve the efficiency of performing the generalization and specialization operation in concept hierarchies.

关键词： Databases Data mining Tree graphs Cities and towns Space technology Lattices Laboratories Competitive intelligence signal processing educational technology

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Total Field and Scattered Field Technique for Fourth-Order Symplectic Finite Difference Time Domain Method

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Chinese Physics Letters 2006年第1期23卷 103-105页

作者：沙威黄志祥吴先良陈明生 Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039

Using symplectic integrator propagator, a three-dimensional fourth-order symplectic finite difference time domain （SFDTD） method is studied, which is of the fourth order in both the time and space domains. The method is nondissipative and can save more memory compared with the traditional FDTD method. The total field and scattered field （TF-SF） technique is derived for the SFDTD method to provide the incident wave source conditions. The bistatic radar cross section （RCS） of a dielectric sphere is computed by using the SFDTD method for the first time. Numerical results suggest that the SFDTD algorithm acquires better stability and accuracy compared with the traditional FDTD method.

关键词： INTEGRATOR SIMULATION STABILITY SCHEME

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Complex-wave retrieval based on blind signal separation

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Chinese Optics Letters 2006年第1期4卷 11-14页

作者：柴晓冬周成鹏冯兆艳王银花左言胜 Department of Electronic Science and Technology University of Science and Technology of ChinaHefei 230026 Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui UniversityHefei 230039 Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui UniversityHefei 230039

In tile process of the reconstruction of digital holography. the traditional methods of diffraction and filtration are commonly adopted to recover the original complex-wave signal. Influenced by twin-image and zero-order terms, the above-mentioned methods, however, either limit tile field of vision or result in the loss of the amplitude and phase. A new method for complex-wave retrieval is presented, which is based on blind signal separation. Three frames of holograms are captured by a charge coupled device （CCD） camera to form an observation signal. The term containing only amplitude and phase of complex-wave is separated, by means of independent component analysis, from the observation signal, which effectively eliminates the zero-order term. Finally. the complex-wave retrieval of pure phase wavefront is achieved. Experimental results show that this method can better recover the amplitude and phase of the original complex-wave even when there is a frequency spectrum mixture in the hologram.

关键词： Charge coupled devices Image reconstruction Independent component analysis signal interference signal processing Spectrum analysis

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