MEMS based AHRS with adaptive bias estimation for high performance rate sensor replacement

2010 ◽  
Author(s):  
Matthew W. Ryan ◽  
Geoff Miller
Keyword(s):  
High Performance ◽  
Bias Estimation ◽  
Rate Sensor ◽  
Performance Rate

Sine-Wave Exciting Circuit for Quartz Vibrating Gyroscope

2013 ◽  
Vol 562-565 ◽  
pp. 417-420
Author(s):  
Qing Yi Wang ◽  
Xiao Wei Liu ◽  
Rui Zhang ◽  
Liang Yin ◽  
Zhi Ping Zhou
Keyword(s):  
High Performance ◽  
Small Volume ◽  
Angular Rate ◽  
Sine Wave ◽  
Processing Technology ◽  
Angular Rate Sensor ◽  
Square Wave ◽  
Rate Sensor ◽  
Is Design ◽  
Cmos Processing

Quartz vibrating gyroscope is a kind of angular rate sensor which is the compromise between the high performance and the small volume. Improvement of the performance is a focus of reach. In this paper, a sine-wave exciting method is discussed. A sine-wave exciting circuit is design and processed with 0.5μm CMOS processing technology. During comparing the sine-wave exciting response and the square-wave one, the sine-wave exciting circuit is more beneficial to improve the performance of the quartz vibrating gyroscope.

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.

A High-Performance Interface ASIC for Quartz Rate Sensor

2011 ◽  
Vol 483 ◽  
pp. 471-474
Author(s):  
Wei Ping Chen ◽  
Qing Yi Wang ◽  
Liang Yin ◽  
Zhi Ping Zhou
Keyword(s):  
Integrated Circuits ◽  
Power Consumption ◽  
High Performance ◽  
Low Noise ◽  
Stable Operation ◽  
Cmos Process ◽  
Test Results ◽  
Bias Stability ◽  
Output Noise ◽  
Rate Sensor

In this work, an ASIC interface for quartz rate sensor (QRS) is introduced. Based on 0.6μm 18V N-well CMOS process, it is the first to be realized in the domestic. This chip has a minimized size of 5×4.4mm2. Compared with traditional interface constructed by separate devices, such interface implemented with integrated circuits is advantageous in size and power consumption. This satisfies the requirements of miniature and low power consumption in space industry and military domain. The test results show that this interface features low noise, high linearity, and stable operation. Integrated with the sensor, the entire system presents high performance in short term bias stability, nonlinearity, output noise, bias variation over temperature, and power consumption.

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 Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5162
Author(s):  
Joana Costa ◽  
Catarina Silva ◽  
Miguel Santos ◽  
Telmo Fernandes ◽  
Sérgio Faria
Keyword(s):  
Heart Rate ◽  
High Performance ◽  
Wearable Sensors ◽  
Feature Representation ◽  
Time Data ◽  
Immediate Feedback ◽  
Iot Devices ◽  
And Performance ◽  
Rate Sensor ◽  
Sports Coaching

Intelligent approaches in sports using IoT devices to gather data, attempting to optimize athlete’s training and performance, are cutting edge research. Synergies between recent wearable hardware and wireless communication strategies, together with the advances in intelligent algorithms, which are able to perform online pattern recognition and classification with seamless results, are at the front line of high-performance sports coaching. In this work, an intelligent data analytics system for swimmer performance is proposed. The system includes (i) pre-processing of raw signals; (ii) feature representation of wearable sensors and biosensors; (iii) online recognition of the swimming style and turns; and (iv) post-analysis of the performance for coaching decision support, including stroke counting and average speed. The system is supported by wearable inertial (AHRS) and biosensors (heart rate and pulse oximetry) placed on a swimmer’s body. Radio-frequency links are employed to communicate with the heart rate sensor and the station in the vicinity of the swimming pool, where analytics is carried out. Experiments were carried out in a real training setup, including 10 athletes aged 15 to 17 years. This scenario resulted in a set of circa 8000 samples. The experimental results show that the proposed system for intelligent swimming analytics with wearable sensors effectively yields immediate feedback to coaches and swimmers based on real-time data analysis. The best result was achieved with a Random Forest classifier with a macro-averaged F1 of 95.02%. The benefit of the proposed framework was demonstrated by effectively supporting coaches while monitoring the training of several swimmers.

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.

Sign in / Sign up

Export Citation Format

Share Document