scholarly journals MULTI-CHANNEL CONTROL SYSTEM FOR IN-SITU LABORATORY LOADING DEVICES

2018 ◽  
Vol 18 ◽  
pp. 15 ◽  
Author(s):  
Václav Rada ◽  
Tomáš Fíla ◽  
Petr Zlámal ◽  
Daniel Kytýř ◽  
Petr Koudelka
Keyword(s):  
Open Source ◽  
Software Tool ◽  
Cnc Machine ◽  
Control Software ◽  
Wide Range ◽  
Hardware Abstraction Layer ◽  
Channel Control ◽  
Python Programming ◽  
Loading Devices

In recent years, open-source applications have replaced proprietary software in many fields. Especially open-source software tools based on Linux operating system have wide range of utilization. In terms of CNC solutions, an open-source system LinuxCNC can be used. However, the LinuxCNC control software and the graphical user interface (GUI) could be developed only on top of Hardware Abstraction Layer. Nevertheless, the LinuxCNC community provided Python Interface, which allows for controlling CNC machine using Python programming language, therefore whole control software can be developed in Python. The paper focuses on a development of a multi-process control software mainly for in-house developed loading devices operated at our institute. The software tool is based on the LinuxCNC Python Interface and Qt framework, which gives the software an ability to be modular and effectively adapted for various devices.

scholarly journals Dashing: fast and accurate genomic distances with HyperLogLog

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Daniel N. Baker ◽  
Ben Langmead
Keyword(s):  
Open Source ◽  
Software Tool ◽  
Estimation Methods ◽  
Cardinality Estimation ◽  
Link Type ◽  
Wide Range

AbstractDashing is a fast and accurate software tool for estimating similarities of genomes or sequencing datasets. It uses the HyperLogLog sketch together with cardinality estimation methods that are specialized for set unions and intersections. Dashing summarizes genomes more rapidly than previous MinHash-based methods while providing greater accuracy across a wide range of input sizes and sketch sizes. It can sketch and calculate pairwise distances for over 87K genomes in 6 minutes. Dashing is open source and available at https://github.com/dnbaker/dashing.

A mixed real-time robot hardware abstraction layer (R-HAL)

2018 ◽  
Vol 02 (01) ◽  
pp. 1850010 ◽  
Author(s):  
Giuseppe F. Rigano ◽  
Luca Muratore ◽  
Arturo Laurenzi ◽  
Enrico M. Hoffman ◽  
Nikos G. Tsagarakis
Keyword(s):  
Upper Body ◽  
Control Software ◽  
Software Developers ◽  
Know How ◽  
Abstraction Layer ◽  
Wide Range ◽  
Application Programming ◽  
Hardware Abstraction Layer ◽  
Robotic Platforms ◽  
And Control

The rapid advances in robotics have recently led to the developments of a wide range of robotic platforms that exhibit significant differences at the hardware components level. Consequently, this poses a significant challenge to robot software developers since they have to know how every hardware device in the robot works to ensure their software’s compatibility when transferring/reusing their code on different robots. In this paper we present a new Robot Hardware Abstraction Layer (R-HAL) that permits to seamlessly program and control any robotic platform powered by the XBot control software framework. The implementation details of the R-HAL are introduced. The R-HAL is extensively validated through simulation trials and experiments with a wide range of dissimilar robotic platforms, among them the COMAN and WALK-MAN humanoids, the KUKA LWR and the CENTAURO upper body. The results attained demonstrate in practice the gained benefits in terms of code compatibility, reuse and portability, and finally unified application programming even for robots with significantly diverse hardware.

scholarly journals Karawun: assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation

2021 ◽  
Author(s):  
Richard Beare ◽  
Bonnie Alexander ◽  
Aaron Warren ◽  
Michael Kean ◽  
Marc Seal ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Image Guidance ◽  
Image Data ◽  
Software Tool ◽  
Neurosurgical Planning ◽  
Wide Range ◽  
Imaging Research ◽  
The Impact ◽  
Integrate Research

AbstractSubmitted to Magnetic Resonance in MedicinePurposeTo introduce a tool allowing neurosurgeons to evaluate the results of research tractography workflows for presurgical planning and intraoperative image-guidance, using standard neurosurgical navigation platforms.Theory and MethodsImproving communication between neurosurgeons and researchers developing new image acquisition and processing methods is critical for rapid translation of research to surgical practice. Presenting research outputs within existing clinical workflows is one approach that can assist such interdisciplinary communication. Neurosurgical navigation platforms can display and manipulate a wide range of medical image data and associated delineations and thus allow clinicians to evaluate the impact of new imaging research on their work. Currently, it is extremely difficult to integrate research-based image processing outputs into standard neurosurgical navigation platforms.ResultsIn this note we introduce Karawun, an open-source software tool for converting outputs from research imaging pipelines, especially diffusion MRI tractography reconstructions using advanced methodologies currently unavailable on commercial navigation platforms, into forms that can be imported into the Brainlab neurosurgical navigation platform (Brainlab AG, Munich, Germany). The externally created tractography images and delineations can be viewed and manipulated as if they were created by Brainlab. We illustrate how two surgical workups, created using open-source tools and different processing choices can be presented to the neurosurgeon who can evaluate the impact of the differences between the two workups on surgical decisions.ConclusionKarawun allows researchers developing novel imaging methodologies to display their results in environments that are familiar to clinical end-users, especially neurosurgeons, thus assisting translation of research into clinical practice.

scholarly journals Dashing: Fast and Accurate Genomic Distances with HyperLogLog

2018 ◽  
Author(s):  
Daniel N Baker ◽  
Ben Langmead
Keyword(s):  
Open Source ◽  
Software Tool ◽  
Estimation Methods ◽  
Cardinality Estimation ◽  
Link Type ◽  
Wide Range

AbstractDashing is a fast and accurate software tool for estimating similarities of genomes or sequencing datasets. It uses the HyperLogLog sketch together with cardinality estimation methods that are specialized for set unions and intersections. Dashing summarizes genomes more rapidly than previous MinHash-based methods while providing greater accuracy across a wide range of input sizes and sketch sizes. It can sketch and calculate pairwise distances for over 87K genomes in 6 minutes. Dashing is open source and available at https://github.com/dnbaker/dashing.

scholarly journals Corganiser: a web-based software tool for planning time-sensitive sampling of whole rounds during scientific drilling

2014 ◽  
Vol 18 ◽  
pp. 1-4 ◽  
Author(s):  
I. P. G. Marshall
Keyword(s):  
Software Tool ◽  
Web Interface ◽  
Ocean Drilling Program ◽  
Planning Time ◽  
Web Based ◽  
Scientific Drilling ◽  
Ocean Drilling ◽  
Integrated Ocean Drilling Program ◽  
Wide Range ◽  
Python Programming

Abstract. Corganiser is a software tool developed to simplify the process of preparing whole-round sampling plans for time-sensitive microbiology and geochemistry sampling during scientific drilling. It was developed during the Integrated Ocean Drilling Program (IODP) Expedition 347, but is designed to work with a wide range of core and section configurations and can thus be used in future drilling projects. Corganiser is written in the Python programming language and is implemented both as a graphical web interface and command-line interface. It can be accessed online at http://130.226.247.137/.

scholarly journals Micro-Magellan: A flexible, open source acquisition software for high throughput biological light microscopy

2016 ◽  
Author(s):  
Henry Pinkard ◽  
Nico Stuurman ◽  
Kaitlin Corbin ◽  
Ronald Vale ◽  
Matthew F Krummel
Keyword(s):  
User Interface ◽  
Light Microscopy ◽  
Open Source ◽  
High Throughput ◽  
Biological Samples ◽  
Abstraction Layer ◽  
Wide Range ◽  
Automated Imaging ◽  
Hardware Abstraction Layer ◽  
High Throughput Imaging

We demonstrate the capabilities of μMagellan: a flexible, open source microscopy software for reproducible high throughput imaging of biological samples across heterogeneous scales of space and time. μMagellan provides a simple user interface for exploration and automated imaging of non-cuboidal regions. By utilizing the hardware abstraction layer of μManager, μMagellan provides a powerful and extensible platform for imaging heterogeneous biological samples on a wide range of existing microscopes.

In-situ electrical-resistivity measurements in the high-voltage electron microscope

1978 ◽  
Vol 36 (1) ◽  
pp. 68-69
Author(s):  
W. E. King
Keyword(s):  
Electrical Resistivity ◽  
Electron Microscope ◽  
High Voltage ◽  
Resistivity Measurements ◽  
Voltage Electron ◽  
High Voltage Electron Microscope ◽  
High Voltage Electron ◽  
Wide Range ◽  
Helium Gas

A side-entry type, helium-temperature specimen stage that has the capability of in-situ electrical-resistivity measurements has been designed and developed for use in the AEI-EM7 1200-kV electron microscope at Argonne National Laboratory. The electrical-resistivity measurements complement the high-voltage electron microscope (HVEM) to yield a unique opportunity to investigate defect production in metals by electron irradiation over a wide range of defect concentrations.A flow cryostat that uses helium gas as a coolant is employed to attain and maintain any specified temperature between 10 and 300 K. The helium gas coolant eliminates the vibrations that arise from boiling liquid helium and the temperature instabilities due to alternating heat-transfer mechanisms in the two-phase temperature regime (4.215 K). Figure 1 shows a schematic view of the liquid/gaseous helium transfer system. A liquid-gas mixture can be used for fast cooldown. The cold tip of the transfer tube is inserted coincident with the tilt axis of the specimen stage, and the end of the coolant flow tube is positioned without contact within the heat exchanger of the copper specimen block (Fig. 2).

Site specific agricultural soil management with the use of new technologies

2013 ◽  
Vol 16 (1) ◽  
pp. 59-67
Keyword(s):  
New Technologies ◽  
Digital Interface ◽  
Appropriate Treatment ◽  
Wide Range ◽  
Soil Variation ◽  
Soil Information ◽  
Remote Sensing Techniques ◽  
Agricultural Areas

<p>The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.</p>

Indium Bromide-catalyzed Unprecedented Hydrogenolysis: A Novel One-Pot Synthesis of Per-O-Acetylated β-carboxymethyl O and S-glycosides

2020 ◽  
Vol 24 (8) ◽  
pp. 900-908
Author(s):  
Ram Naresh Yadav ◽  
Amrendra K Singh ◽  
Bimal Banik
Keyword(s):  
Asymmetric Synthesis ◽  
Chiral Auxiliary ◽  
Bioactive Molecules ◽  
One Pot ◽  
Enantiomerically Pure ◽  
Stereoselective Glycosylation ◽  
One Pot Synthesis ◽  
Wide Range

Numerous O (oxa)- and S (thia)-glycosyl esters and their analogous glycosyl acids have been accomplished through stereoselective glycosylation of various peracetylated bromo sugar with benzyl glycolate using InBr3 as a glycosyl promotor followed by in situ hydrogenolysis of resulting glycosyl ester. A tandem glycosylating and hydrogenolytic activity of InBr3 has been successfully investigated in a one-pot procedure. The resulting synthetically valuable and virtually unexplored class of β-CMGL (glycosyl acids) could serve as an excellent potential chiral auxiliary in the asymmetric synthesis of a wide range of enantiomerically pure medicinally prevalent β-lactams and other bioactive molecules of diverse medicinal interest.

scholarly journals A Generalization Performance Study Using Deep Learning Networks in Embedded Systems

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1031
Author(s):  
Joseba Gorospe ◽  
Rubén Mulero ◽  
Olatz Arbelaitz ◽  
Javier Muguerza ◽  
Miguel Ángel Antón
Keyword(s):  
Deep Learning ◽  
Embedded Systems ◽  
Embedded System ◽  
General Purpose ◽  
Learning Networks ◽  
Performance Study ◽  
Learning Techniques ◽  
Wide Range ◽  
Learning Architectures

Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the digitalisation of society in general and the industrial world in particular. In addition, the immersion of the field of edge computing, which focuses on integrating artificial intelligence as close as possible to the client, makes it possible to implement systems that act in real time without the need to transfer all of the data to centralised servers. The combination of these two concepts can lead to systems with the capacity to make correct decisions and act based on them immediately and in situ. Despite this, the low capacity of embedded systems greatly hinders this integration, so the possibility of being able to integrate them into a wide range of micro-controllers can be a great advantage. This paper contributes with the generation of an environment based on Mbed OS and TensorFlow Lite to be embedded in any general purpose embedded system, allowing the introduction of deep learning architectures. The experiments herein prove that the proposed system is competitive if compared to other commercial systems.

Sign in / Sign up

Export Citation Format

Share Document