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There are presented two recent applications of special semirings. There is introduced an innovative concept in modelling operations of container quay cranes based on pseudo-analysis in the form of maxplus semiring. In social sciences the ordering on a semiring of monotone doubly stochastic matrices in Shorrocks' sense is investigated. It is identified a class of an equilibrium index of mobility that...
For the limited application and shortcoming of FCM (Fuzzy C-Means) clustering algorithm, an improved automatic FCM clustering algorithm is put forward. First, the fuzzy equivalent matrix is achieved by fuzzier the standard uniform data sets; then, the objective function of the improved automatic FCM clustering algorithm is optimized by the amendment of membership function and distance measuring function;...
Probabilistic models are widely used in Architecture-based reliability prediction in software intensive systems. However, for most of the cases, it is computationally expensive to compute the reliability metrics and re-compute them once the system has evolved or is used in a different environment. In this paper, we introduce an efficient computation method for Discrete Time Markov Chain based abstractions,...
In this work, we study distributed gain allocation to maximize the achievable sum-rate in non-regenerative multihop networks with multiple users and multi-antenna nodes. The source and relay nodes are constrained to forward linear transformations of their input and calculate their transformation matrices based on locally available channel state information and limited feedback from the destination...
Based on the analysis and description of the problem related to the optimization and integration of the industrial railway sidings, it establishes the evaluation factors set according to the impact factors of the optimization and integration of the industrial railway sidings. It has proposed the decision-making evaluation set which adapts the optimization and integration of the industrial railway...
According to existing have defects discernibility matrix, and the attribute reduction algorithm for attribute reduction algorithm of complex process. This paper made part of optimization, based on the condition attributes classify the grouping generated representative data to simplify the discernibility matrix, and the order of the discernibility matrix, and the complexity of the attribute reduction...
In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each...
Based on the study of analytic hierarchy process (AHP), fuzzy comprehensive evaluation and Bayesian network, this paper establishes the multiple objective decision Bayesian network model (MODBN) by use of the method of converting the indexes and their relationships into the nodes and directed edges in Bayesian network. First of all, calculate the prior probabilities of the leaf nodes in MODBN using...
Before performing the DNA computation, a set of specific DNA sequences are required. However, this is a burdensome task as too many constraints need to be satisfied. In this paper, ant colony algorithm is applied to solve the problem of DNA codewords design. Inspired by the traveling salesman problem, first a city matrix with T rows and S columns is designed, in which every city denotes a DNA sequence...
Attribute reduction in rough sets is a NP-complete problem, which make it difficult to use conventional methods of rough sets in practical application fields. According to binary discernibility matrix of known database an attribute reduction algorithm based on MEC is proposed. The experimental results and comparison of algorithms show that the proposed method is simple and effective.
This paper demonstrates an approach to optimizing software testing cases by rapidly fixing software deficiency with given software parameter uncertainty during a regressive testing process. Taking the software testing process into a time-varied system control problem, a state transform matrix model is presented. Because regressive testing is an iterative process, the two-dimensional variable-factor...
Disassembly precedence restriction matrix (DPRM) is constructed to describe the Disassembly precedence relation between components of mechanical products. Based on this disassembly matrix, feasible and reasonable transition range which satisfied precedence restriction relation can be derived correctly and completely. Then ant colony optimization (ACO) algorithm is applied to generate geometric feasible...
In this paper, we propose a new super-memory gradient method for unconstrained optimization problems. The global convergence and linear convergence rate are proved under some mild conditions. The method uses the current and previous iterative information to generate a new search direction and uses Wolfe line search to define the step-size at each iteration. It has a possibly simple structure and avoids...
In recent years, many studies have focused on semidefinite relaxation for combinatorial optimization problems and their usefulness. While those studies force the solution matrix of the relaxation problem to be symmetric and positive semidefinite, we often see that each element of the solution matrix is meant to be nonnegative. A positive semidefinite matrix whose elements are nonnegative is called...
The importance of the order two Markovian arrival process (MAP(2)) comes from its compactness, serving either as arrival or service process in applications, and from the nice properties which are not available for higher order MAPs. E.g., for order two processes the acyclic MAP(2) (AMAP(2)), the MAP(2) and the order two matrix exponential process (MEP(2)) are equivalent. Additionally, MAP(2) processes...
Feedback control problems for distributed parameter systems arise in a variety of physical, chemical, biological, and mechanical systems. This paper exploits the algebraic structure of the system of ordinary differential equations that arise from spatial discretization of the partial differential equation (PDE) to analyze and design feedback controllers that are robust to bounded perturbations in...
According to road and traffic characteristic indexes of high-way network, this paper illustrates a new model, which can evaluate which is the best among many programming schemes, the paper firstly researches the analyzing model for high-way network optimization which takes the evaluation objectives as set of indexes and programming schemes as set of domain by quantitative analysis, and establishes...
This paper presents a logic optimization algorithm of based on the recognition of essential prime implicants. According to input products, we work out complement sets matrix of non-shared products, blocking matrix, covering matrix. We give the recognizing method of essential primes E and relative redundancies P and complete redundancies implication R of multi-input-output logic functions. This paper...
With the extensive applications of FFT in digital signal processing and image signal processing which needs a extensive application of large-scale computing, it Become more and more important to improve parallelism, Efficient and Scalable parallel of FFT algorithm. This paper Improve the parallelism of the FFT algorithm based on the Six-Step FFT algorithm, And build up a framework Based on Grid, Through...
Task distribution is an important part of process design and affects the cycle of process design. To shorten the design cycle, a distribution method based on part features is prompt by converting task distribution problem to a capacity matrix. For improving algorithm efficiency, an artificial ant model is built with blackboard strategy. This model enhances the communication between ants and environments...
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