<i>pygid</i>: a Python package for fast data reduction in grazing-incidence diffraction. [PDF]
A new Python package, pygid, enables fast batch processing of X‐ray scattering data, with a particular focus on grazing‐incidence geometries.Advances in X‐ray and neutron sources, as well as in area‐detector technologies, enable the recording of several terabytes of raw two‐dimensional detector data in a single experiment.
Abukaev A +8 more
europepmc +2 more sources
Modular Software-Defined Radio
In view of the technical and commercial boundary conditions for software-defined radio (SDR), it is suggestive to reconsider the concept anew from an unconventional point of view. The organizational principles of signal processing (rather than the signal
Rhiemeier Arnd-Ragnar
doaj +2 more sources
High energy implanted transistor fabrication [PDF]
High energy ion implantation forms, together with submicron lithography, trench technology, rapid thermal multiprocessing and simulation programs, are a powerful means of fabricating the tiny transistor structures of the future. Several cross-sections of
Middelhoek, J.
core +4 more sources
Phishing URLs Detection Using Sequential and Parallel ML Techniques: Comparative Analysis
In today’s digitalized era, the world wide web services are a vital aspect of each individual’s daily life and are accessible to the users via uniform resource locators (URLs).
Naya Nagy +7 more
doaj +1 more source
Optimised distributed sensor system for covid protocol monitoring using multiprocessor architecture
Covid Protocol Monitoring with Multiprocessor Architecture (CPMMA) is proposed in this study as an approach for implementing a Distributed Sensor System (DSS) for covid protocol monitoring utilising multiprocessor architecture.
S. Venkatraman +5 more
doaj +1 more source
SpiNNTools: The Execution Engine for the SpiNNaker Platform
SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation of spiking neural networks. The largest realization of the architecture consists of one million general purpose processors, making it the largest ...
Andrew G. D. Rowley +9 more
doaj +1 more source
An efficient ACO-based algorithm for task scheduling in heterogeneous multiprocessing environments
In heterogeneous computing environments, finding optimized solutions continues to be one of the most challenging problems as we continuously seek better and improved performances.
Jeffrey Elcock, Nekiesha Edward
doaj +1 more source
Single-chip multi-processing architecture for spaceborne SAR imaging and intelligent processing
The satellite-borne SAR image intelligent processing system needs to process on-orbit real-time imaging and various tasks of applications, for which reason designing a dedicated high-efficient single-chip multi-processor is of prioritized necessity that ...
doaj +1 more source
Joint security and performance improvement in multilevel shared caches
Multilevel cache architectures are widely used in modern heterogeneous systems for performance improvement. However, satisfying the performance and security requirements at the same time is a challenge for such systems.
Amin Sarihi +4 more
doaj +1 more source
PDB-CAT: A user-friendly tool to classify and analyze PDB protein-ligand complexes. [PDF]
Abstract The Protein Data Bank (PDB) contains more than 235,000 three‐dimensional biostructures and is growing at a rate of nearly 10% per year. The PDB is essential to gain knowledge on how proteins and ligands interact and how these interactions are correlated with the quantitative activity of each ligand/target pair.
Llop-Peiró A +4 more
europepmc +2 more sources

