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Analysis of the approximation method for reconfiguration

Design, Modelling and Analysis of a Workflow Reconfiguration

Design, Modelling and Analysis of a Workflow Reconfiguration

... Abstract. This paper describes a case study involving the reconfigu- ration of an office workflow. We state the requirements on a system implementing the workflow and its reconfiguration, and describe the sys- ...

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Reconfiguration analysis of a 3-DOF parallel mechanism

Reconfiguration analysis of a 3-DOF parallel mechanism

... systematic reconfiguration analysis of a 1-RPU − 2-UPU and other PMs with the same set of constraint equations as the 1-URU − 2-RRU ...the analysis of this type of PMs. Indeed, the analysis ...

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Probabilistic Analysis and Algorithms for Reconfiguration of Memory Arrays

Probabilistic Analysis and Algorithms for Reconfiguration of Memory Arrays

... An analysis of the average-case time complexity must be based on some distribution of failures in the reconfigurable ...our analysis we assume each memory cell has the same probability of being ...the ...

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A SENSITIVITY ANALYSIS AND AN IMPLEMENTATION OF THE WELLKNOWN VOGEL’S APPROXIMATION METHOD FOR SOLVING UNBALANCED TRANSPORTATION PROBLEM

A SENSITIVITY ANALYSIS AND AN IMPLEMENTATION OF THE WELLKNOWN VOGEL’S APPROXIMATION METHOD FOR SOLVING UNBALANCED TRANSPORTATION PROBLEM

... (Vogel’s approximation method) is considered to be a better efficient heuristic approach since it often provides an optimal or near optimal solution to the transportation ...sensitivity analysis of ...

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An Analysis of Reconfiguration Approaches for Recovery in Wireless Mesh Networks

An Analysis of Reconfiguration Approaches for Recovery in Wireless Mesh Networks

... detailed analysis of various reconfiguration techniques used to recover wireless mesh network from link failures and the issues to be addressed in order to maximize the network ...

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An Approximation Method for a Maximum Likelihood Equation System and Application to the Analysis of Accidents Data

An Approximation Method for a Maximum Likelihood Equation System and Application to the Analysis of Accidents Data

... estimation method without matrix inversion based on a linear approxima- tion of the likelihood equations in a neighborhood of the constrained maxi- mum likelihood ...statistical analysis of a road safety ...

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Traffic Modelling for Capacity Analysis of CDMA Networks using Gausian Approximation Method

Traffic Modelling for Capacity Analysis of CDMA Networks using Gausian Approximation Method

... Abstract – This paper presents, modelling telephone traffic in cellular networks operating with Code Division Multiple Access (CDMA) for the purpose of capacity analysis of such systems. With the current use of ...

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A refined affine approximation method of multiplication for range analysis in word length optimization

A refined affine approximation method of multiplication for range analysis in word length optimization

... Range analysis; Affine approximation; Accuracy; Uncertainty analysis 1 Introduction As a method of representing real numbers, floating point can support a wide dynamic range and high precision ...

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Localized Pseudo-Skeleton Approximation Method for Electromagnetic Analysis on Electrically Large Objects

Localized Pseudo-Skeleton Approximation Method for Electromagnetic Analysis on Electrically Large Objects

... Figure 2. LPSA and RPSA results for the sphere. Figure 3. LPSA and ACA results for the sphere. It is found that the RCS values obtained by LPSA are much closer to the Mie series than RPSA, which demonstrate the accuracy ...

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Reconfiguration of Solar Panels: Mathematical Model and Analysis

Reconfiguration of Solar Panels: Mathematical Model and Analysis

... 4. Conclusion In this article, the author focuses on analyzing and proposing mathematical models for two main problems in previous studies, developing objective functions and clear constraints, which are the rationale ...

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Extended Multipoint Approximation Method

Extended Multipoint Approximation Method

... optimization method has become increasing popular cause it could relieve the computation burden during analysis and minimize the total cost during experiments than normal detailed simulation methods ...

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Sparse pseudospectral approximation method

Sparse pseudospectral approximation method

... a b s t r a c t Multivariate global polynomial approximations – such as polynomial chaos or stochastic collocation methods – are now in widespread use for sensitivity analysis and uncertainty quantification. The ...

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A Bayesian Approximation Method for Online Ranking

A Bayesian Approximation Method for Online Ranking

... The approximation techniques can be divided into deterministic and nondeterministic ...nondeterministic method refers to the Monte Carlo integration such as Markov Chain Monte Carlo (MCMC) methods, which ...

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Research on Reconfiguration Point Decision Method of Flexible Manufacturing Cell

Research on Reconfiguration Point Decision Method of Flexible Manufacturing Cell

... Case Analysis This article takes a flexible manufacturing cell as an example. The cell consists of five machines, one for each machine: M1, M2, M3, M4, M5. The first sequence consists of six types of parts, each ...

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Approximation Method for Hybrid Functional Differential Equations

Approximation Method for Hybrid Functional Differential Equations

... nonlinear analysis which provides a useful method for approximating a unique solution for the initial and boundary value problems of ordinary differential equations via successive ...other method ...

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800 MHZ BAND RECONFIGURATION RECONFIGURATION HANDBOOK

800 MHZ BAND RECONFIGURATION RECONFIGURATION HANDBOOK

... If you will be performing an acceptance test of your system, it must be included in the agreed upon Cost Estimate (and SOW for complex systems) that will be part of your contract. The scope, level of effort and cost of ...

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Power System Security Improvement by a Linear
Approximation Method

Power System Security Improvement by a Linear Approximation Method

... The Nigerian power system that the government has regulated heavily, is now undergoing deregulation and the competitive/uncertain market environment has resulted to operating the power system in highly stressed and ...

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An approximation method for the solving a class of nonlinear integral equations

An approximation method for the solving a class of nonlinear integral equations

... collocation method; Fredholm–Volterra integral equations; Nonlinear integral equation ...numerical analysis. AChebyshev-matrix method for solving nonlinear integral equations have been presented by ...

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Implementing Adaptation and Reconfiguration Method in WSN: A Review

Implementing Adaptation and Reconfiguration Method in WSN: A Review

... network reconfiguration in wireless sensor network using ...dynamic reconfiguration routing protocol that achieves the need of various applications and also various network ...network reconfiguration ...

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A Multi-Objective Method for Network Reconfiguration (TECHNICAL NOTE)

A Multi-Objective Method for Network Reconfiguration (TECHNICAL NOTE)

... the reconfiguration algorithm considers improvement of system voltage and that transformers in the distribution system are almost balanced based on their kVA rating so that the distribution system can take care of ...

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