7234494
A novel method for a class of nonlinear singular perturbation problems
In this paper, we present a boundary value method for solving a class of nonlinear, singularly perturbed two-point boundary value problems with a boundary layer at the left of the underlying interval. This method is based on ideas of singular perturbation analysis by constructing a modified problem with a boundary layer correction. We deal with the boundary layer separately, and use series method. The condition at infinity will be applied to the corresponding Pade approximates of the obtained series solution.
205393463
A new algorithm for solving classical Blasius equation
In this paper, a reliable algorithm is employed to investigate the classical Blasius equation. The algorithm is based mainly on applying the Adomian decomposition method to the transformation of the Blasius equation. The results demonstrate reliability and efficiency of the proposed algorithm.
34094601
DNA-Based Algorithm for 0-1 Planning Problem
Biochemical reaction theory based DNA computation is of much better performance in solving a class of intractable computational problems such as NP-complete problems, it is important to study the DNA computation. A novel algorithm based on DNA computation is proposed, which solves a special category of 0-1 planning problem by using the surface-based fluorescence labeling technique. The analysis show that our new algorithm is of significant advantages such as simple encoding, low cost and short operating time, etc.
16476202
Natural Language Specification of Performance Trees
The accessible specification of performance queries is a key challenge in performance analysis. To this end, we seek to combine the intuitive aspects of natural language query specification with the expressive power and flexibility of the Performance Tree formalism. Specifically, we present a structured English grammar for Performance Trees, and use it to implement a Natural Language Query Builder (NLQB) for the Platform Independent Petri net Editor (PIPE). The NLQB guides users in the construction of performance queries in an iterative fashion, presenting at each step a range of natural language alternatives that are appropriate in the query context. We demonstrate our technique in the specification of performance queries on a model of a hospital's Accident and Emergency department.
7481401
Noise-tolerant dynamic circuit design
Noise in deep submicron technology combined with the move towards dynamic circuit techniques for higher performance have raised concerns about reliability and energy efficiency of VLSI systems in the deep submicron era. To address this problem, a new noise-tolerant dynamic circuit technique is presented. In addition, the average noise threshold energy (ANTE) and the energy normalized ANTE metrics are proposed for quantifying the noise immunity and energy efficiency, respectively, of circuit techniques. Simulation results in 0.35 micron CMOS for NAND gate designs indicate that the proposed technique improves the ANTE and energy normalized ANTE by 2.54X and 2.25X over the conventional domino circuit. The improvement in energy normalized ANTE is 1.22X higher than the existing noise-tolerance techniques. A full adder design based on the proposed technique improves the ANTE and energy normalized ANTE by 3.7X and 1.95X over the conventional dynamic circuit. In comparison, the static circuit improves ANTE by 2.2X but degrades the energy normalized ANTE by 11%. In addition, the proposed technique has a smaller area overhead (69%) as compared to the static circuit whose area overhead is 98%.
2445646
Modeling and Robustness Analysis of Biochemical Networks of Glycerol Metabolism by Klebsiella Pneumoniae
Glycerol bioconversion to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae (K. pneumoniae) can be characterized by an intricate network of interactions among biochemical fluxes, metabolic compounds, key enzymes and genetic regulatory. To date, there still exist some uncertain factors in this complex network because of the limitation in bio-techniques, especially in measuring techniques for intracellular substances. In this paper, among these uncertain factors, we aim to infer the transport mechanisms of glycerol and 1,3-PD across the cell membrane, which have received intensive interest in recent years. On the basis of different inferences of the transport mechanisms, we reconstruct various metabolic networks correspondingly and subsequently develop their dynamical systems (S-systems). To determine the most reasonable metabolic network from all possible ones, we establish a quantitative definition of biological robustness and undertake parameter identification and robustness analysis for each system. Numerical results show that it is most possible that both glycerol and 1,3-PD pass the cell membrane by active transport and passive diffusion.
26794680
Texture segmentation based on MRMRF modeling
Texture segmentation remains a fundamental issue in low-level image analysis, pattern recognition and computer vision. Texture segmentation problem can be solved in two directions: model fitting and non-parametric classification. In this paper, we propose to use multiresolution MRF (MRMRF) modeling in texture segmentation. A novel MRMRF parameter estimation method based on MCMC approach is presented. The experimental result shows that the method is suitable to segment textured images.