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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...

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 lab.ratories 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 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 lab.ratories 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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Study on moving target detection to passive radar based on FM broadcast transmitter

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Chinese Journal of Systems Engineering and Electronics 2007年第3期000卷

作者： Zhu Jiabing Tao Liang Hong Yi Education Ministry Key Lab of Intelligent Computing and Signal Processing Anhui Univ.Hefei 230039P.R.China Inst.of Signal Processing East China Research Inst.of Electronic EngineeringHefei 230031P.R.China Education Ministry Key Lab of Intelligent Computing and Signal Processing Anhui Univ.Hefei 230039P.R.China

Target detection by a noncooperative illuminator is a topic of general interest in the electronic warfare *** of all,direct-path interference(DPI)suppression which is the technique of bottleneck of moving target detection by a noncooperative frequency modulation(FM) broadcast transmitter is analyzed in this article;Secondly,a space-time-frequency domain synthetic solution to this problem is introduced:Adaptive nulling array processing is considered in the space domain,DPI cancellation based on adaptive fractional delay interpolation(AFDI)technique is used in planned time domain,and long-time coherent integration is utilized in the frequency domain;Finally,an experimental system is planned by considering FM broadcast transmitter as a noncooperative illuminator,Simulation results by real collected data show that the proposed method has a better performance of moving target detection.

关键词： passive radar direct path interference adaptive beamforming adaptive fractional delay interpolation long-time coherent integration.

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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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Solving multi-object radar cross section based on wide-angle parabolic equation method

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Journal of Systems Engineering and Electronics 2006年第4期17卷 722-724页

作者： Huang Zhixiang Wu Qiong Wu Xianliang The Key Lab of Ministry of Education of Intelligent Computing & Signal Processing Anhui Univ. Hefei 230039 P. R. China

Based on a Pade approximation, a wide-angle parabolic equation method is introduced for computing the multiobject radar cross section （RCS） for the first time. The method is a paraxial version of the scalar wave equation, which solves the field by marching them along the paraxial direction. Numerical results show that a single wide-angle parabofic equation run can compute multi-object RCS efficiently for angles up to 45 ° . The method provides anew and efficient numerical method for computation electromagnetics.

关键词： parabolic equation method Pade approximation radar cross section paraxial direction.

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Automatic T-mixture model selection via rival penalized EM

Automatic T-mixture model selection via rival penalized EM

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6th International Conference on Hybrid intelligent Systems and 4th Conference on Neuro-computing and Evolving Intelligence, HIS-NCEI 2006

作者： Zhang, Chunyan Tang, Jin Luo, Bin Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039

ISBN: (纸本)0769526624

Modelling mixtures of multivariate t-distributions are usually used instead of Gaussian mixture models(GMM) as a robust approach, when one fits a set of continuous multivariate data which have wider tail than Gaussian's or atypical observations, but it is unable to perform model selection automatically through the traditional EM (Expectation Maximization) algorithm. To solve this problem, a new algorithm, which is called Rival Penalized Expectation-Maximization (RPEM) algorithm, is proposed to t-mixture model (TMM). It can automatically select an appropriate number of densities in t-density mixture model. Experimental results on unsupervised color image segmentation demonstrate the affectivity of the proposed algorithm. © 2006 IEEE.

关键词： Color image processing

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Automatic recognition of noisy Code-39 barcode

Automatic recognition of noisy Code-39 barcode

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16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

作者： Fang, Xianyong Wu, Fuli Luo, Bin Zhao, Haifeng Wang, Peng Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University College of Information Engineering Zhejiang University of Technology Electronics Ltd.

ISBN: (纸本)076952754X

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy Code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images. © 2006 IEEE.

关键词： Decoding

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A novel approch for clustering of Chinese text based on concept hierarchy

A novel approch for clustering of Chinese text based on conc...

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IEEE International Conference on Cognitive Informatics

作者： Zhao, Peng Geng, Huan-Tong Cai, Qing-Sheng Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424404759

After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses Vector Space Model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set. © 2006 IEEE.

关键词： Cluster analysis

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