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One improved approach of grey derivative in the direct GM (1, 1) is presented in this paper, which raises the modeling precision once again. The new model has been proven strictly to have the property of exponent, coefficient and translation constants superposition. The results of data simulation and model comparison show that the improved model in this paper raises the accuracy of background value, the fitting precision and forecasting precision. Moreover, it is not only suitable for the low growth sequence, but also suitable for the high growth sequence. What's more, it is suitable for the nonhomogeneous exponential sequence. [ABSTRACT FROM AUTHOR]

Based on the analysis of the influence of the class ratio modeling to the model smoothness in equigap model, in this paper we put forward a practical method of raising non- equigap grey prediction precision that we model to non-equigap GM (1,1) model by the class ratio modeling method ,at the same time, propose a method that we predict the non-equigap model by carrying out prediction to the temporal series index with linking the suitable model, which is utilized to optimize and forecast the non- equigap model with the new method. Ultimately, examples that are cited from the actual works show that the method is good in stimulation and prediction precision. [ABSTRACT FROM AUTHOR]

This paper presents a new analysis method on space force telepresence teleoperation system. Since there exists huge time delay in the communication channel between the master and slave sides, it will lead to the system instability and reduce operation ability. The study of this issue is to find out the factors that impact the system unconditional stability. The study method is to use the difference and differential equations, which are found on telepresence system time delay dynamic equation. At the end of this study, this paper illustrates a simulation results to verify the analysis method. [ABSTRACT FROM AUTHOR]

To the security threats existed in Neighbor Discovery Protocol(NDP) of IPv6, the paper provides a distributed intrusion detection model based on Multi- Agent(MAIDM). The algorithm and Mechanism of agent's studying and detecting is described in detail based on a mechanism of Abnormity Presenting and Abnormity Triggering. Experimental results demonstrate the efficiency of the proposed MAIDM. [ABSTRACT FROM AUTHOR]

It is the key step of the cerebral aneurysm recognition system to locate the cerebral aneurysm accurately and fast onto the image. A new detection method of cerebral aneurysm, which is based on the improved thinning algorithm, is proposed after analyzing the morphological characteristics of cerebral aneurysm fully in the paper. In this new detection method, the improved OPTA algorithm is used to get the skeleton tree of blood vessel firstly, and then cerebral aneurysms are detected by searching the skeleton tree. After doing lots of experiments, the cerebral aneurysm can be detected well by using this new method, which provides a premise for cerebral aneurysm recognition. [ABSTRACT FROM AUTHOR]

The well known fuzzy measures, λ-measure and P-measure, have only one formulaic solution. A multivalent fuzzy measure with infinitely many solutions based on P-measure was proposed by our previous work, called completed L-measure. In this paper, a further improved fuzzy measure, called extensional completed L-measure, is proposed. This new fuzzy measure is proved that it is not only an extension of completed L-measure but also can be considered as an extension of the λ-measure and P-measure. For evaluating the Choquet integral regression models with our proposed fuzzy measure and other different ones, a real data experiment by using a 5-fold cross-validation mean square error (MSE) is conducted. The performances of Choquet integral regression models with fuzzy measure based on extensional completed L-measure, completed Lmeasure, L-measure, λ-measure, and P-measure, respectively, a ridge regression model, and a multiple linear regression model are compared. Experimental result shows that the Choquet integral regression models with respect to extensional completed L-measure based on γ-support outperforms others forecasting models. [ABSTRACT FROM AUTHOR]

With the development of Internet and Ecommerce, the issue of safety in electronic payment receives a wide publicity. In security protocols of electronic payment, SET protocol can provide a high level security, but it is complicate to implement. To improve the SET payment system, this paper proposed an implementation scheme of Core RBAC based on B/S architecture. Taking this as foundation, we introduce RBAC model into SET payment system, and propose a corresponding implementation framework. We try to simplify the payment process of SET by that. [ABSTRACT FROM AUTHOR]

To improve the Quality of Service (QoS) ability of TNPOSS (To Next-hop Port Sequence Switch) network, this paper proposes a QoS-enhanced TNPOSS (QTNPOSS) network model by introducing Fractal Leak Bucket (FLB) shaper and Weighted Fair Queuing (WFQ) scheduler. In the proposed model, packets of multimedia traffic are shaped by the FLB shaper and scheduled by the WFQ scheduler. Moreover, the service curve and the Maximum E2E delay of QTNPOSS network are given by using the mathematical tool of the network calculus. Numerical analysis shows that both the long-range dependence (LRD) property of multimedia traffic and the WFQ weight have influences on the maximum E2E delay, and the WFQ weight influences the maximum E2E delay more greatly than the LRD property does. [ABSTRACT FROM AUTHOR]

The paper describes sub-optimum method for trusted computing models of network security. trusted computing of network security is performed under both optimum and non-optimum learning. The task of selection is done using a knowledge-based network under sub-optimum degree learning. The methodology for trusted models involves minimization of non-optimum and maximization of optimum, defined in term of sub-optimum degree evaluation indices, in connectionist framework. For the non-optimum analysis method, the algorithm does not need know the number of cluster a priori. It is considered that the nonoptimum network does not exclude the targets and the results of sub-optimum in practice. The formation of nonoptimum network serves as the basis for existence of optimum network in uncertainty. Besides, the various characteristics and functions of the non-optimum network can be measured from the sub-optimum network. By summing the practice, this paper has also come at suboptimum principle of the network, established the conception of sub-optimum thresholds and put forward three theorems about sub-optimum parameters. Through the concept of sub-optimum, Finally, it analyzes the actual significance of trusted network. [ABSTRACT FROM AUTHOR]

To enhance the realistic experience of virtual conference, this paper proposed a distributed virtual conference stereo audio reconstruction model. The spatial audio parameters inter-aural level difference (ILD) is used to reconstruct the spatial sound field for each listener. The distributed synthesis system is designed to get a lower network payload. [ABSTRACT FROM AUTHOR]

A practical efficient receiver deniable encryption scheme based on BCP commitment scheme and idea of Klonowski et al. is proposed in the paper. The analysis of the proposed schemes is also presented. [ABSTRACT FROM AUTHOR]

In this paper, we propose a novel limited feedback approach for MIMO systems with transmit beamforming over time-varying channels, where the optimal beamforming vector of the current frame is selected from the son-codewords of the codewords neighboring to previous beamforming codeword. The proposed approach exploits the channel temporal correlation to improve the CSI quantized precise. The simulation results show that the proposed approach can efficiently improve the BER performance relative to the common feedback approach, and the feedback rate can be further reduced under some conditions. Moreover, the effect of Doppler frequency shift on the performance of the proposed approach is analyzed. [ABSTRACT FROM AUTHOR]

Attribute reduction is one of important problem in study of theory and application of rough set. According to the generalized similarity relation, concepts of distributive consistent set and positive region consistent set are introduced and the relative basis properties are discussed in incomplete decision system. The methods of distributive reduction and positive region reduction are given by discernibility functions. In incomplete decision system, the condition which depicts equivalence between distributive consistent set and positive region consistent set is given. Special examples to illustrate content of discussion in this paper. [ABSTRACT FROM AUTHOR]

In the constructive approach of rough set, there exists three fundamental definition: approximation operator, binary relation on the universe and basis algebra. In this paper, we mainly discuss the the relation between the basis algebra and approximation operators in L-fuzzy rough set. [ABSTRACT FROM AUTHOR]

This paper shows that the first order deceptive problem of ant colony algorithm satisfies value convergence under certain initial pheromone distribution, but does not satisfy solution convergence. We also estimate the expected number of iterations required to reach the optimal solution by ACO on the first-order deceptive systems taking the n-bit trap problem as the test instance. We prove that such expected number of iterations required is O(n.log n), here n is the size of the problem. [ABSTRACT FROM AUTHOR]

The concept of relative distance is put forward in this paper. And we also present a criterion to judge the effect measure algorithms whether are reasonable or not through the relative distance whether change. According to the criterion, we come to realize that the traditional upper limit effect measure algorithm is reasonable, while the traditional lower and medium limit effect measure algorithm are unreasonable. At the same time, using the judging criterion to check some new effect Measure algorithms, we find out that some are reasonable, and some are still unreasonable. We further discuss the differences among these reasonable algorithms. [ABSTRACT FROM AUTHOR]

Texture classification has played an important role in many real life applications. Now, classification based on wavelet transform is being very popular. Wavelets are very effective in representing objects with isolated point singularities, but failed to represent line singularities. Recently, ridgelet transform which deal effectively with line singularities in 2-D is introduced. But images often contain curves rather than straight lines, so curvelet transform is designed to handle it. It allows representing edges and other singularities along lines in a more efficient way when compared with other transforms. In this paper, the issue of texture classification based on curvelet transform has been analyzed. One group feature vector can be constructed by the mean and variance of the curvelet statistical features, which are derived from the sub-bands of the curvelet decomposition and are used for classification. Experimental results show that this approach allows obtaining high degree of success rate in classification. [ABSTRACT FROM AUTHOR]

Rough sets deal with the vagueness and granularity in information systems. Reference[3] discusses rough approximations on a complete completely distributive lattice(CCD lattice for short) and brings generalizations of rough sets into a unified framework. This paper is devoted to the discussion of the relationship between approximations and topologies on a CCD lattice. It is proved that the set of all upper approximations (or of lower approximations) with respect to a partition consists of a clopen topology. [ABSTRACT FROM AUTHOR]

Set-valued information systems are generalized single-valued information systems. In this paper, by introducing a type of dominance relation to set-valued ordered information systems, we establish dominance-based rough set approach and propose a ranking approach for all objects based on the dominance classes. Furthermore, we discuss dominance rules, propose attribute reductions of consistent set-valued ordered decision tables, and obtain the approach to compute decision reductions. [ABSTRACT FROM AUTHOR]

Bitmap vectorization is the key technique for shoes remodeling design and color matching during shoes design. In this paper through experiments, Vectorizing methods and techniques for black & white bitmap and color bitmap of shoes style are studied, the main influencing factors for effect of vectorization are analyzed, fast and efficient vectorizing methods for shoes image are summarized. All these provide technical support to recycle the effect drawing of shoes style. [ABSTRACT FROM AUTHOR]

An improved algorithm for second generation wavelet transform is proposed by adopting the lifting scheme and least square orthogonal polynomial fitting. For designing predicting (or updating) coefficients of the lifting scheme, the orthogonal polynomials are taken as a basis, and the predicting (or updating) coefficients are solved by using least square curve fitting to fit the apoximate signals (or detail signals) of wavelet transform. The numerical experiment shows the method is a powerful method for denoising image, which combines second wavelet transform based on optimum fitting estimation and image nonlinear enhancement algorithm, but also it can compensate the foible of soft threshold denoising and keep the feature of image edge well. The proposed method is proved to be effectivly. [ABSTRACT FROM AUTHOR]

We present a new two-party attribute-based key agreement protocol that is secure without the random oracle model in groups equipped with a bilinear map. The attribute-based key agreement scheme is one type of the identity-based key agreement scheme, in which the identity can be viewed as a set of descriptive attributes. These kinds of schemes provide some new properties, such as hiding the identity information of the individual, increasing the flexibility of key management, and providing efficient means to revoke users from the system. [ABSTRACT FROM AUTHOR]

Moving target detection and tracking in videose quences are to determine whether there are exercise objectives and monitor exercise goals and exercise track temporal and spatial variation. In moving target detection, the commonly used method has the background difference method and the inter-frame difference method. This paper analyzes their advantages and disadvantages of adopting an access function for target detection. Through the establishment and updating the background model, using of the principle of binocular stereo vision matching the characteristics of implementation goals, dynamic shadow removal of the target, such as steps to improve environmental changes in the sport of target detection accuracy. [ABSTRACT FROM AUTHOR]

When using volume-based approach to reconstruct 3D model by engineering drawings, some lost projection lines of a primitive feature parts will result in incorrect recognitions of a complex part, so preprocess of engineering drawings will be necessary. The approach presented in this paper proposes an iterative procedure of pattern recognition and projection mending. By the process, feature parts will be recognized easily with their integrated information. [ABSTRACT FROM AUTHOR]

Few people would deny that the world runs on oil. Oil, regarded as the blood of industry, may cause economic crises, and even lead to conflicts and wars. Three applicable models and several feasible policies are presented to settle the problem. We devise the Irreversible Depletion Model, and use global statistics data in logistic regressions to predict the total ultimate oil recovery. Relying on the estimated cumulative production, we make a prediction of the remaining ultimate recovery, and finally obtain the estimate of depletion year. We conclude that the prediction of the total ultimate Recovery equals 3.402Tbl and the depletion year is in 2080. As a result, our model is robust. [ABSTRACT FROM AUTHOR]

Ordinal consistency is the prerequisite of a fuzzy judgment matrix. Based on the transitivity of its superior relation, two concepts of non-transitive route number and non-transitive route contribution number were put forward. Through the nontransitive route number and non-transitive route contribution number guidance, a revising method for fuzzy judgment matrix without ordinal consistency was proposed, in which the irrational element can be identified. The revising method can help the decision-maker revise his/her judgment matrix effectively. [ABSTRACT FROM AUTHOR]