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The increasing algorithm complexity and dataset sizes necessitate the use of networked machines for many graph-parallel algorithms, which also makes fault tolerance a must due to the increasing scale of machines. Unfortunately, existing large-scale graph-parallel systems usually adopt a distributed checkpoint mechanism for fault tolerance, which incurs not only notable performance overhead but also...
Predicting the structure of protein-peptide complexes using computational approaches is a difficult problem whose major challenges are properly dealing with molecular flexibility and conformational changes both of the receptor and ligand. Although significant improvements have been achieved in the modeling of side chains, methods for the backbone flexibility in docking still need improvement. In this...
Biomedical image denoising algorithm based on gradient dependent energy functional often compromised the biomedical image features like textures or certain details. This paper proposes an iterative regularization model based on Dual Norms for biomedical image denoising. By using iterative regularization model, the oscillating patterns of texture and detail are added back to fit and compute the original...
In light of China's logistics industry, the location selection of distribution center is one of the most important issues. The objective of this research is to present a location-selection model of logistics distribution center based on fuzzy multi-criteria decision making theory. With the model, the candidate evaluation programs of the logistics distribution center location are simulated and tested...
The applications of supercapacitor are overviewed home and broad. The mechanism and characteristics of super-capacitors, as well as its analysis methods have been discussed. Based on the analysis of super-capacitor structure, we Establish a mathematical model of super capacitor according to its own characteristics and the experimental data of Maxwell PC2500 supercapacitor from the U.S. National Renewable...
This paper presents the thermal design and analysis of uncooled infrared sensor fabricated in SMIC standard 0.18μm CMOS technology. The steady-state and transient thermal simulations have been done by finite-element methods (FEM). The effects of membrane parameters on the thermal performance of the infrared sensor are investigated. The simulation results show that the thermal time constant and temperature...
In order to handle the large volume of events in large-scale distributed systems such as supply chain management systems, composite event detection is recently used as an effective means to identify the occurrence of complex patterns of events, which is an attractive but also a challenging task. This paper introduces a composite event processing framework and its models, and then describes an intelligent...
A new method based on coupling with shock filters and anisotropic diffusion is presented for image enhancement and denoising in this work. A new improved shock filters term and a new fidelity term, which are produced adaptive magnitude from image structural information, are proposed for the image enhancement and denoising. The method can not only well restrain noise but also enhance edge and keep...
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