A High-Performance Rate-Integrating Hemispherical Resonant Gyros with 0.00753°/h Bias Instability

2021 ◽  
Author(s):  
Yongmeng Zhang ◽  
Sheng Yu ◽  
Kechen Guo ◽  
Jiangkun Sun ◽  
Xuezhong Wu ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Rate ◽  
Bias Instability

Wavelet Transform Based Feature Extraction for EEG Signal Classification

2021 ◽  
Vol 20 ◽  
pp. 199-206
Author(s):  
Seda Postalcioglu
Keyword(s):  
Wavelet Transform ◽  
High Performance ◽  
Feature Vector ◽  
Fast Response ◽  
Eeg Signal ◽  
Real Time Control ◽  
Time Control ◽  
Band Power ◽  
Performance Rate

This study focused on the classification of EEG signal. The study aims to make a classification with fast response and high-performance rate. Thus, it could be possible for real-time control applications as Brain-Computer Interface (BCI) systems. The feature vector is created by Wavelet transform and statistical calculations. It is trained and tested with a neural network. The db4 wavelet is used in the study. Pwelch, skewness, kurtosis, band power, median, standard deviation, min, max, energy, entropy are used to make the wavelet coefficients meaningful. The performance is achieved as 99.414% with the running time of 0.0209 seconds

Nutrient removal in subsurface flow constructed wetlands for application in sensitive regions

2001 ◽  
Vol 44 (11-12) ◽  
pp. 149-155 ◽  
Author(s):  
H. Rustige ◽  
Chr. Platzer
Keyword(s):  
Drinking Water ◽  
High Performance ◽  
Treatment Plant ◽  
Filter Medium ◽  
Water Filter ◽  
Multi Stage ◽  
Reed Bed ◽  
One Year ◽  
Performance Rate ◽  
Filter Bed

One of the most interesting sites for research on CWs in Germany has been established in Wiedersberg (Saxonia). The multi-stage concept with primary settling, vertical and horizontal flow reed bed followed by UV-disinfection and a special phosphorus filter bed, allows numerous ways of operation and investigations. Denitrification can be improved by recirculation through VF bed and sedimentation tank or by means of adding carbonaceous water from the primary stage to a second level within the VFB or directly to the following HF bed. In order to investigate the efficiency of P-elimination four kinds of natural sands containing different amounts of iron have been used. To maintain a long-term capacity for P-reduction an additional filter bed is filled with gravelly sand which had been used for the precipitation of iron from drinking water before. After saturating with P this filter medium can be exchanged easily. A result of more than one year of operation is the high performance rate for adsorption of phosphorus by enriched iron on drinking water filter sand. At a total loading rate of 350 g P/m3 filter medium 250 g P/m3 have been adsorbed. Design considerations can not be given yet. The median denitrification rate at VFB is 1.3 g N m-2d-1 and at HFB is 0.25 g Nm-2d-1. The low denitrifcation rate of HFB might be due to a very high quota of wastewater dilution by storm- and ground-water of 100 to 200 percent. The investigations on this wastewater treatment plant will be continued until June 2001 and experiments with filter columns will be added.

Applications of Virtualization Technology in Grid Systems and Cloud Servers

2018 ◽  
pp. 1-28
Author(s):  
Mohammad Samadi Gharajeh
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Global Network ◽  
Grid Systems ◽  
Virtual Clusters ◽  
Virtualization Technology ◽  
Computing Environments ◽  
Cloud Servers ◽  
Performance Rate ◽  
Performance Computing

Grid systems and cloud servers are two distributed networks that deliver computing resources (e.g., file storages) to users' services via a large and often global network of computers. Virtualization technology can enhance the efficiency of these networks by dedicating the available resources to multiple execution environments. This chapter describes applications of virtualization technology in grid systems and cloud servers. It presents different aspects of virtualized networks in systematic and teaching issues. Virtual machine abstraction virtualizes high-performance computing environments to increase the service quality. Besides, grid virtualization engine and virtual clusters are used in grid systems to accomplish users' services in virtualized environments, efficiently. The chapter, also, explains various virtualization technologies in cloud severs. The evaluation results analyze performance rate of the high-performance computing and virtualized grid systems in terms of bandwidth, latency, number of nodes, and throughput.

scholarly journals Evolução do desempenho em atletas brasileiros de natação de alto rendimento durante seis anos de formação esportiva: um estudo longitudinal retrospectivo

2018 ◽  
Vol 87 (4) ◽  
Author(s):  
Guilherme Tucher ◽  
Carlos Eduardo Lima Monteiro ◽  
Roberta Rafaelli ◽  
Paulo Cezar Marinho
Keyword(s):  
High Performance ◽  
Descriptive Statistics ◽  
Sports Performance ◽  
Sports Training ◽  
Parametric Test ◽  
Longitudinal Observational Study ◽  
Significant Difference ◽  
The World ◽  
Performance Rate ◽  
Two Peaks

Introdução: O desempenho esportivo é resultado da interrelação de variáveis que devem ser estudadas visando a melhor formação dos nadadores jovens.Objetivo: Analisar o desempenho em nadadores de alto rendimento brasileiros, nas provas de 50-100 m nado Livre, ao longo de seis anos de formação esportiva e identificar os picos da taxa de crescimento.Métodos: Estudo observacional longitudinal retrospectivo, do qual participaram 15 nadadores brasileiros entre os 100 melhores tempos do mundo (provas de 50m e 100m nado Livre). Utilizou-se estatística descritiva e foi calculada a taxa de crescimento do resultado esportivo (%) entre intervalos de idade. Utilizou-se o teste não paramétrico de Friedman para analisar a existência de diferença significativa entre os desempenhos. Considerou-se p≤0,05.Resultados: Para os 50m, houve dois picos na taxa de crescimento: aos 13-14 e aos 17-18 anos. Para os 100m nado Livre, o pico se deu aos 16-17 anos. Houve diferença significativa no desempenho dos 50-100m nado Livre em diversos intervalos de idade (p<0,05).Conclusão: O pico da taxa de desempenho nos 50-100 m nado Livre parece acompanhar os momentos de maior crescimento e maturação dos jovens.Six Years of Performance Evolution in High-Performance Brazilian Swimmers in of Sports Training: A Longitudinal Retrospective StudyIntroduction: Sports performance is the result of the interrelationship of variables that should be studied aiming at a better training of young swimmers.Objective: To analyze performance in Brazilian high-performance swimmers, in the 50-100m freestyle races, over six years of sports training and to identify peaks in the increasing rate.Methods: Retrospective longitudinal observational study, in which 15 Brazilian swimmers participated in the 100 best times in the world (50m and 100m free swim). Descriptive statistics were used and the rate of growth of the sports score (%) between age intervals was calculated. Friedman's non-parametric test was used to analyze the existence of a significant difference between the performances. Significance considered was p≤0.05.Results: For the 50m, there were two peaks in the growth rate: at 13-14 and at 17-18 years. For the 100m freestyle, the peak occurred at 16-17 years. There was a significant difference in the performance of the 50-100m free swim at several age intervals (p<0.05).Conclusion: The performance rate peak for the 50-100m Freestyle seems to accompany the moments of greater performance increasing and maturation of the young.

scholarly journals High-Performance Deep learning to Detection and Tracking Tomato Plant Leaf Predict Disease and Expert Systems

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Yaser AbdulAali Jasim
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
High Performance ◽  
Plant Disease ◽  
Detection System ◽  
Open Data ◽  
Data Set ◽  
Performance Rate

Nowadays, technology and computer science are rapidly developing many tools and algorithms, especially in the field of artificial intelligence.  Machine learning is involved in the development of new methodologies and models that have become a novel machine learning area of applications for artificial intelligence. In addition to the architectures of conventional neural network methodologies, deep learning refers to the use of artificial neural network architectures which include multiple processing layers. In this paper, models of the Convolutional neural network were designed to detect (diagnose) plant disorders by applying samples of healthy and unhealthy plant images analyzed by means of methods of deep learning. The models were trained using an open data set containing (18,000) images of ten different plants, including healthy plants. Several model architectures have been trained to achieve the best performance of (97 percent) when the respectively [plant, disease] paired are detected. This is a very useful information or early warning technique and a method that can be further improved with the substantially high-performance rate to support an automated plant disease detection system to work in actual farm conditions.

Larch-derived hierarchical nitrogen-doped carbon with echinus-like architecture for supercapacitor applications

Holzforschung ◽  
2020 ◽  
Vol 74 (5) ◽  
pp. 529-538
Author(s):  
Honglei Chen ◽  
Lei Sha ◽  
Yujie Zhang ◽  
Shoujuan Wang ◽  
Fangong Kong ◽  
...  
Keyword(s):  
Porous Structure ◽  
High Performance ◽  
High Specific Capacitance ◽  
Hierarchical Porous Structure ◽  
Nitrogen Doped ◽  
Excellent Electrochemical Performance ◽  
Hierarchical Porous ◽  
Nitrogen Doped Carbon ◽  
Performance Rate

AbstractEchinus-like nitrogen-doped carbon with a hierarchical porous structure was synthesized from green larch waste and urea via liquid in situ doping and high-temperature carbonization. Benefitting from a large specific surface area (649 m2 g−1) and hierarchical porous structure, the nitrogen-doped carbon exhibited excellent electrochemical performance for supercapacitors. Remarkably, the echinus-like nitrogen-doped carbon achieved a high specific capacitance of 340 F g−1 at a current density of 1 A g−1 in 6 M KOH electrolyte as well as a good performance rate and stability (with a capacitance retention of 98% after 5000 cycles). This capacitance was almost 1.5 times higher than that of undoped carbon due to the contribution of the pseudocapacitance from the nitrogen doping. Larch sawdust is a promising carbon source for fabricating inexpensive, sustainable and high-performance supercapacitor materials.

A High Performance Energy Analyzer for Use in Electron Scanning Microscopy

1969 ◽  
Vol 27 ◽  
pp. 14-15
Author(s):  
A. V. Crewe ◽  
M. Isaacson ◽  
D. Johnson
Keyword(s):  
High Performance ◽  
Vertical Plane ◽  
Median Plane ◽  
Electron Gun ◽  
Uniform Field ◽  
Loss Mechanism ◽  
Electron Scanning Microscopy ◽  
Sector Type ◽  
Double Focusing ◽  
Electron Energy Loss

A double focusing magnetic spectrometer has been constructed for use with a field emission electron gun scanning microscope in order to study the electron energy loss mechanism in thin specimens. It is of the uniform field sector type with curved pole pieces. The shape of the pole pieces is determined by requiring that all particles be focused to a point at the image slit (point 1). The resultant shape gives perfect focusing in the median plane (Fig. 1) and first order focusing in the vertical plane (Fig. 2).

Vacuum System to Minimize the Specimen Contamination of High-Performance EM

1977 ◽  
Vol 35 ◽  
pp. 68-69
Author(s):  
N. Yoshimura ◽  
K. Shirota ◽  
T. Etoh
Keyword(s):  
Electron Microscope ◽  
High Speed ◽  
High Performance ◽  
High Vacuum ◽  
Vacuum System ◽  
Pump System ◽  
Pumping System ◽  
Diffusion Pump ◽  
Almost All ◽  
Cascade Type

One of the most important requirements for a high-performance EM, especially an analytical EM using a fine beam probe, is to prevent specimen contamination by providing a clean high vacuum in the vicinity of the specimen. However, in almost all commercial EMs, the pressure in the vicinity of the specimen under observation is usually more than ten times higher than the pressure measured at the punping line. The EM column inevitably requires the use of greased Viton O-rings for fine movement, and specimens and films need to be exchanged frequently and several attachments may also be exchanged. For these reasons, a high speed pumping system, as well as a clean vacuum system, is now required. A newly developed electron microscope, the JEM-100CX features clean high vacuum in the vicinity of the specimen, realized by the use of a CASCADE type diffusion pump system which has been essentially improved over its predeces- sorD employed on the JEM-100C.

Use of the Magnetostatic Analogue In Electromagnetic Lens Engineering

1970 ◽  
Vol 28 ◽  
pp. 360-361
Author(s):  
John W. Coleman
Keyword(s):  
Boundary Conditions ◽  
High Performance ◽  
Force Fields ◽  
Optical Design ◽  
Direct Conversion ◽  
Design Engineering ◽  
Design Data ◽  
Scalar Potentials ◽  
Geometric Elements ◽  
At Will

In the design engineering of high performance electromagnetic lenses, the direct conversion of electron optical design data into drawings for reliable hardware is oftentimes difficult, especially in terms of how to mount parts to each other, how to tolerance dimensions, and how to specify finishes. An answer to this is in the use of magnetostatic analytics, corresponding to boundary conditions for the optical design. With such models, the magnetostatic force on a test pole along the axis may be examined, and in this way one may obtain priority listings for holding dimensions, relieving stresses, etc..The development of magnetostatic models most easily proceeds from the derivation of scalar potentials of separate geometric elements. These potentials can then be conbined at will because of the superposition characteristic of conservative force fields.

Sign in / Sign up

Export Citation Format

Share Document