Results 21 to 30 of about 14,812 (190)

Image Data Stream Organization and Online Analysis Application Based on Data Cube Technology [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study aims to explore the important role of data-like cube structures in modern remote sensing data processing and data analysis through ArcPy and Python multiprocessing techniques.
X. Huang, X. Gao, S. Ouyang, Z. Fu
doaj   +1 more source

Advancing Multivariate Time Series Similarity Assessment: An Integrated Computational Approach

open access: yesIEEE Access
Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains.
Franck B. N. Tonle   +6 more
doaj   +1 more source

Why Does Flow Director Cause Packet Reordering?

open access: yes, 2011
Intel Ethernet Flow Director is an advanced network interface card (NIC) technology. It provides the benefits of parallel receive processing in multiprocessing environments and can automatically steer incoming network data to the same core on which its ...
Crawford, Matt, DeMar, Phil, Wu, Wenji
core   +1 more source

Boosting Parallel Applications Performance on Applying DIM Technique in a Multiprocessing Environment

open access: yesInternational Journal of Reconfigurable Computing, 2011
Limits of instruction-level parallelism and higher transistor density sustain the increasing need for multiprocessor systems: they are rapidly taking over both general-purpose and embedded processor domains.
Mateus B. Rutzig   +7 more
doaj   +1 more source

Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt

open access: yesAdvances in Civil Engineering, 2020
Warm Mix Asphalt (WMA) and Hot Mix Asphalt (HMA) are prepared at lower temperatures, making it more susceptible to moisture damage, which eventually leads to stripping due to the adhesion failure.
Mohammad Nishat Akhtar   +5 more
doaj   +1 more source

Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems

open access: yesEnergies, 2020
This work proposes a methodology to find performance and energy trade-offs for parallel applications running on Heterogeneous Multi-Processing systems with a single instruction-set architecture. These offer flexibility in the form of different core types
A. M. Coutinho Demetrios   +6 more
doaj   +1 more source

NileOS: A Distributed Asymmetric Core-Based Micro-Kernel for Big Data Processing

open access: yesIEEE Access, 2021
Big Data applications have demanding expectations on computational resources front. Thus, general purpose operating systems are not a good fit. In this paper, we present a new special purpose distributed micro-kernel designed with big data applications ...
Ahmad El-Rouby   +6 more
doaj   +1 more source

CPU Scheduling Visualization

open access: yesDiyala Journal of Engineering Sciences, 2014
Scheduling is a key concept in computer multitasking and multiprocessing operating system design, and in real-time operating system design. CPU scheduling is the basis of multiprogramming operating systems by switching the CPU among process; the ...
Taqwa Flayyih Hasan
doaj   +1 more source

MultiPhATE2: code for functional annotation and comparison of phage genomes

open access: yesG3: Genes, Genomes, Genetics, 2021
To address a need for improved tools for annotation and comparative genomics of bacteriophage genomes, we developed multiPhATE2. As an extension of multiPhATE, a functional annotation code released previously, multiPhATE2 performs gene finding using ...
Carol L Ecale Zhou   +5 more
doaj   +1 more source

Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Minimal/measurable residual disease detection is routinely performed as part of post‐diagnostic treatment plans for many types of cancer, for which multiparameter flow cytometry is one possible modality frequently used. We propose a machine learning approach for binary prediction of minimal residual disease status with flow cytometry data. Our
Wikum Dinalankara   +5 more
wiley   +1 more source

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