Deployment of pattern recognition applications for large-scale data sets is an open issue that needs to be addressed. In this paper, an attempt is made to explore new methods of partitioning and distributing data, tha...
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ISBN:
(纸本)9783642249570;9783642249587
Deployment of pattern recognition applications for large-scale data sets is an open issue that needs to be addressed. In this paper, an attempt is made to explore new methods of partitioning and distributing data, that is, resource virtualization in the cloud by fundamentally re-thinking the way in which future data management models will need to be developed on the Internet. The work presented here will incorporate content-addressable memory into Cloud data processing to entail a large number of loosely-coupled parallel operations resulting in vastly improved performance. Using a lightweight associative memory algorithm known as distributed Hierarchical Graph Neuron (DHGN), data retrieval/processing can be modeled as pattern recognition/matching problem, conducted across multiple records and data segments within a single-cycle, utilizing a parallel approach. The proposed model envisions a distributed data management scheme for large-scale data processing and database updating that is capable of providing scalable real-time recognition and processing with high accuracy while being able to maintain low computational cost in its function.
The proceedings contain 28 papers. The topics discussed include: using a commercial graphical processing unit and the CUDA programming language to accelerate scientific imageprocessing applications;automatic distribu...
ISBN:
(纸本)9780819484093
The proceedings contain 28 papers. The topics discussed include: using a commercial graphical processing unit and the CUDA programming language to accelerate scientific imageprocessing applications;automatic distribution of vision-tasks on computing clusters;highly scalable digital front end architectures for digital printing;parallel training and testing methods for complex imageprocessing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources;integrated parallel printing systems with hypermodular architecture;parallelprocessing considerations for image recognition tasks;GPGPU real-time texture analysis framework;a novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning;visualization assisted by parallelprocessing;and a parallel impulse-noise detection algorithm based on ensemble learning for switching median filters.
Stencil calculations comprise an important class of kernels in many scientific computing applications ranging from simple PDE solvers to constituent kernels in multigrid methods as well as imageprocessing application...
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This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software Engineering and Computer Systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised ful...
ISBN:
(数字)9783642221910
ISBN:
(纸本)9783642221903
This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software Engineering and Computer Systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed e-learning; ontology; imageprocessing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.
During the present decade, emerging architectures like multicore CPUs and graphics processing units (GPUs) have steadily gained popularity for their ability to deploy high computational power at a low cost. In this pa...
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Due to FPGA's flexibility and parallelism, it is popular for accelerating imageprocessing. In this paper, a double-parallel architecture based on FPGA has been exploited to speed up median filter and edge detecti...
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Purpose: Over the past five years the Center for Minimally Invasive Radiation Biodosimetry at Columbia University has developed the Rapid Automated Biodosimetry Tool (RABiT), a completely automated, ultra-high through...
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Purpose: Over the past five years the Center for Minimally Invasive Radiation Biodosimetry at Columbia University has developed the Rapid Automated Biodosimetry Tool (RABiT), a completely automated, ultra-high throughput biodosimetry workstation. This paper describes recent upgrades and reliability testing of the RABiT. Materials and methods: The RABiT analyses fingerstick-derived blood samples to estimate past radiation exposure or to identify individuals exposed above or below a cut-off dose. Through automated robotics, lymphocytes are extracted from fingerstick blood samples into filter-bottomed multi-well plates. Depending on the time since exposure, the RABiT scores either micronuclei or phosphorylation of the histone H2AX, in an automated robotic system, using filter-bottomed multi-well plates. Following lymphocyte culturing, fixation and staining, the filter bottoms are removed from the multi-well plates and sealed prior to automated high-speed imaging. image analysis is performed online using dedicated imageprocessing hardware. Both the sealed filters and the images are archived. Results: We have developed a new robotic system for lymphocyte processing, making use of an upgraded laser power and parallelprocessing of four capillaries at once. This system has allowed acceleration of lymphocyte isolation, the main bottleneck of the RABiT operation, from 12 to 2 sec/sample. Reliability tests have been performed on all robotic subsystems. Conclusions: parallel handling of multiple samples through the use of dedicated, purpose-built, robotics and high speed imaging allows analysis of up to 30,000 samples per day.
Retinex is one of the well-known schemes for adaptive image enhancement under poor weather conditions. Improving the visibility of input images on a target detection system is necessary to insure detection work proper...
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The main aim of this work is to show, how GPGPUs can facilitate certain type of imageprocessingmethods. The software used in this paper is used to detect special tissue part, the nuclei on (HE - hematoxilin eosin) s...
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