hardware specification
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Sharra Mae B. Fernandez ◽  

This experimental research study determined and compared the webpage browsing performance of proprietary and open source operating systems on wireless networks. It was intended to reveal the significant differences in the webpage browsing performance between proprietary and open source operating systems on wireless networks when classified as to hardware specifications and type’s web content. The researchers used the JavaScript Console of the Google Chrome web browser application to determine the time of the webpage to fully load. Operating system was the independent variable. Hardware specifications which were classified as old system and new system and types of web content which was also classified as static and dynamic webpages were the intervening variables. Webpages browsing performance was the dependent variable. The statistical tools used were arithmetic mean, and t-test. It also revealed that there were significant differences in the webpage browsing performance between proprietary and open source operating system on wireless networks when classified as to hardware specification and web content. The proprietary and open source operating systems were statistically different when classified as to hardware specifications and type of web content.

2022 ◽  
Lars Borm ◽  
Alejandro Mossi Albiach ◽  
Camiel CA Mannens ◽  
Jokubas Janusauskas ◽  
Ceren Özgün ◽  

Methods to spatially profile the transcriptome are dominated by a trade-off between resolution and throughput. Here, we developed a method named EEL FISH that can rapidly process large tissue samples without compromising spatial resolution. By electrophoretically transferring RNA from a tissue section onto a capture surface, EEL speeds up data acquisition by reducing the amount of imaging needed, while ensuring that RNA molecules move straight down towards the surface, preserving single-cell resolution. We applied EEL on eight entire sagittal sections of the mouse brain and measured the expression patterns of up to 440 genes to reveal complex tissue organisation. Moreover, EEL enabled the study of challenging human samples by removing autofluorescent lipofuscin, so that we could study the spatial transcriptome of the human visual cortex. We provide full hardware specification, all protocols and complete software for instrument control, image processing, data analysis and visualization.

2021 ◽  
Vol 25 (4) ◽  
pp. 37-44
Dawid Seredyński

This work presents an example control system of a service robot. All used concepts, tools and open source software are described. The control system is presented starting from configuration of hardware, specification, up to its implementation. Generality of the image allows the reader to look at the problem globally, while some important, detailed aspects are highlighted. Simulation–related problems are also described. The presented system of WUT Velma robot has been used in many research works.

S. A. M. Ariff ◽  
S. Azri ◽  
U. Ujang ◽  
A. A. M. Nasir ◽  
N. Ahmad Fuad ◽  

Abstract. The current trends of 3D scanning technologies allow us to acquire accurate 3D data of large-scale environment efficiently. The 3D data of large-scale environments is essential when generating 3D model is for the visualization of smart cities. For the seamless visualization of 3D model, large data size will be used during the 3D data acquisition. However, the processing time for large data size is time consuming and requires suitable hardware specification. In this study, different hardware capability in processing large data of 3D point cloud for mesh generation is investigated. Light Detection and Ranging (LiDAR) Airborne and Mobile Mapping System (MMS) are used as data input and processed using Bentley ContextCapture software. The study is conducted in Malaysia, specifically in Wilayah Persekutuan Kuala Lumpur and Selangor with the size of 49 km2. Several analyses have been performed to analyse the software and hardware specification based on the 3D mesh model generated. From the finding, we have suggested the most suitable hardware specification for 3D mesh model generation.

2019 ◽  
Matt Carney ◽  
Tony Shu ◽  
Roman Stolyarov ◽  
Jean-Francois Duval ◽  
Hugh Herr

The TF8 actuator is an untethered, lower-extremity powered-prostheses designed to replicate biological kinetic and kinematic function of ankles. An energy optimal hardware specification was found by kinematically clamping walking gait data to the dynamic model of a series elastic actuator (SEA). We searched for a minimal electrical energy configuration of motor, reduction ratio, and spring, subject to specified constraints and ultimately discretely available components. The outcome translated into a mechanical design that heavily weighted the importance of mechanical energy storage in springs. The resulting design is a moment-coupled cantilever-beam reaction-force SEA (RFSEA) that has a nominal torque rating of 85Nm, peak torque of 175Nm, 105 degree range of motion, and a hardware mass of 1.6kg.

2019 ◽  
Vol 20 (1-2) ◽  
pp. 272-276
Wojciech Judt ◽  
Rafał Urbaniak ◽  
Bartosz Ciupek ◽  
Karolina Perz

Paper discussed possibilities of realization of automatic measurements obtained during experimentally research in heating devices. LabVIEW environment was used for this purpose. This software allow to pre-pare a measurement application without necessity of clasical programming language using. Article presents type of detectors, which are popularly used during realization of this type of measurements. Also a hardware specification was presented, which is required in cooperation with this type of software. Paper also presents a method-ology of measurement application preparation for this type of experimental research.

2017 ◽  
Vol 1 (ICFP) ◽  
pp. 1-30 ◽  
Joonwon Choi ◽  
Muralidaran Vijayaraghavan ◽  
Benjamin Sherman ◽  
Adam Chlipala ◽  

2016 ◽  
Vol 2 (1) ◽  
pp. 503-506
Christoph J. Salomon ◽  
Sebastian Ley ◽  
Marko Helbig

AbstractUWB microwave imaging has proven to be a promising technique for early-stage breast cancer detection. The extensive image reconstruction time can be accelerated by parallelizing the execution of the underlying beamforming algorithms. However, the efficiency of the parallelization will most likely depend on the grade of parallelism of the imaging algorithm and of the utilized hardware. This paper investigates the dependencies of two different beamforming algorithms on multiple hardware specification of several graphics boards. The parallel implementation is realized by using NVIDIA’s CUDA. Three conclusions are drawn about the behavior of the parallel implementation and how to efficiently use the accessible hardware.

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