scholarly journals Research on Real-Time Monitoring and Performance Optimization of Suspension System in Maglev Train

2021 ◽  
Vol 11 (24) ◽  
pp. 11952
Author(s):  
Xu Zhou ◽  
Tao Wen ◽  
Zhiqiang Long
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
High Performance ◽  
Suspension System ◽  
Control Performance ◽  
Real Time Monitoring ◽  
Maglev Train ◽  
Dynamic Compensator ◽  
And Performance ◽  
Residual Generator

With the success of the commercial operation of the maglev train, the demand for real-time monitoring and high-performance control of the maglev train suspension system is also increasing. Therefore, a framework for performance monitoring and performance optimization of the maglev train suspension system is proposed in this article. This framework consists of four parts: plant, feedback controller, residual generator, and dynamic compensator. Firstly, after the system model is established, the nominal controller is designed to ensure the stability of the system. Secondly, the observer-based residual generator is identified offline based on the input and output data without knowing the accurate model of the system, which avoids the interference of the unmodeled part. Thirdly, the control performance is monitored and evaluated in real time by analyzing the residual and executing the judgment logic. Fourthly, when the control performance of the system is degraded or not satisfactory, the dynamic compensator based on the residual is updated online iteratively to optimize the control performance. Finally, the proposed framework and theory are verified on the single suspension experimental platform and the results show the effectiveness.

scholarly journals Reliability and performance optimization of pipelined real-time systems

2013 ◽  
Vol 73 (6) ◽  
pp. 851-865 ◽  
Author(s):  
Anne Benoit ◽  
Fanny Dufossé ◽  
Alain Girault ◽  
Yves Robert
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
Real Time Systems ◽  
And Performance ◽  
Time Systems

A measurement method for the overturning coefficient of high-speed trains passing through complex terrain sections under strong wind conditions

2019 ◽  
Vol 234 (8) ◽  
pp. 885-895
Author(s):  
Zhaijun Lu ◽  
Weijia Huang ◽  
Mu Zhong ◽  
Dongrun Liu ◽  
Tian Li ◽  
...  
Keyword(s):  
Real Time ◽  
Complex Terrain ◽  
High Speed ◽  
Suspension System ◽  
Strong Wind ◽  
Real Time Monitoring ◽  
Monitoring Method ◽  
High Speed Trains ◽  
Strong Winds ◽  
Pass Through

Real-time monitoring of overturning coefficients is very important for ensuring the safety of high-speed trains passing through complex terrain sections under strong wind conditions. In recent years, the phenomenon of “car swaying” that occurs when trains pass through the complex terrain has brought new challenges to ensuring the safety and riding comfort of passengers. In China, more and more high-speed trains are facing strong wind environments when running in complex terrain sections. However, due to the limitation of objective conditions, so far, only a few economical and effective methods of measurement have been developed that are suitable for real-time monitoring of the overturning coefficient of commercial vehicles. Therefore, considering the applicability and universality of such a monitoring method, this study presents a method for measuring the overturning coefficient of trains using the primary suspension system under strong winds. A vehicle test was carried out to verify the accuracy of the method. The results show that after correction, the overturning coefficient obtained from the primary suspension system is generally consistent with the overturning coefficient obtained from the instrumented wheelset. The method of measuring the overturning coefficient of trains in strong wind environments with the primary suspension system is, thus, proven feasible.

A Biocompatible Free Radical Nanogenerator with Real‐Time Monitoring Capability for High Performance Sequential Hypoxic Tumor Therapy

2019 ◽  
Vol 29 (39) ◽  
pp. 1903436 ◽  
Author(s):  
Yingpeng Wan ◽  
Guihong Lu ◽  
Jinfeng Zhang ◽  
Ziying Wang ◽  
Xiaozhen Li ◽  
...  
Keyword(s):  
Free Radical ◽  
Real Time ◽  
High Performance ◽  
Tumor Therapy ◽  
Real Time Monitoring ◽  
Hypoxic Tumor

scholarly journals MG-RAST version 4—lessons learned from a decade of low-budget ultra-high-throughput metagenome analysis

2017 ◽  
Vol 20 (4) ◽  
pp. 1151-1159 ◽  
Author(s):  
Folker Meyer ◽  
Saurabh Bagchi ◽  
Somali Chaterji ◽  
Wolfgang Gerlach ◽  
Ananth Grama ◽  
...  
Keyword(s):  
Performance Optimization ◽  
High Performance ◽  
Lessons Learned ◽  
Added Value ◽  
Data Sets ◽  
Real World Data ◽  
Metagenome Analysis ◽  
Trade Offs ◽  
And Performance ◽  
The Right

Abstract As technologies change, MG-RAST is adapting. Newly available software is being included to improve accuracy and performance. As a computational service constantly running large volume scientific workflows, MG-RAST is the right location to perform benchmarking and implement algorithmic or platform improvements, in many cases involving trade-offs between specificity, sensitivity and run-time cost. The work in [Glass EM, Dribinsky Y, Yilmaz P, et al. ISME J 2014;8:1–3] is an example; we use existing well-studied data sets as gold standards representing different environments and different technologies to evaluate any changes to the pipeline. Currently, we use well-understood data sets in MG-RAST as platform for benchmarking. The use of artificial data sets for pipeline performance optimization has not added value, as these data sets are not presenting the same challenges as real-world data sets. In addition, the MG-RAST team welcomes suggestions for improvements of the workflow. We are currently working on versions 4.02 and 4.1, both of which contain significant input from the community and our partners that will enable double barcoding, stronger inferences supported by longer-read technologies, and will increase throughput while maintaining sensitivity by using Diamond and SortMeRNA. On the technical platform side, the MG-RAST team intends to support the Common Workflow Language as a standard to specify bioinformatics workflows, both to facilitate development and efficient high-performance implementation of the community’s data analysis tasks.

scholarly journals Monitoring and controlling the speed and direction of a DC motor through FPGA and comparison of FPGA for speed and performance optimization

2021 ◽  
Vol 11 (5) ◽  
pp. 3903
Author(s):  
Huda M. Abdul Abbas ◽  
Raad Farhood Chisab ◽  
Mohannad Jabbar Mnati
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
Pulse Width Modulation ◽  
Electronic Device ◽  
Low Cost ◽  
Dc Motor ◽  
Know How ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
And Performance

<span lang="EN-US">We are living in the 21<sup>st</sup> century, an era of acquiring necessity in one click. As we, all know that technology is continuously reviving to stay ahead of advancements taking place in this world of making things easier for mankind. Technology has been putting his part in introducing different projects as we have used the field programmable gate arrays (FPGAs) development board of low cost and programmable logic done by the new evolvable cyclone software is optimized for specific energy based on Altera Cyclone II (EP2C5T144) through which we can control the speed of any electronic device or any Motor Control IP product targeted for the fan and pump. Altera Cyclone FPGAs’ is a board through which we can monitor the speed and direction of the DC motor. As we know how to make understand, dynamic analog input using an A-to-D convertor and we know how to create pulse width modulation (PWM) output with FPGA. Therefore, by combining these two functions we can create an FPGA DC motor controller. Our paper is divided into three parts: First, all of us will attempt to imitate the issue and can try to look for its answer. Secondly, we will try to verify the solution for real-time. In addition, in the last step, we will verify the solution on the real-time measurements.</span>

Autonomous Real-Time Monitoring of Crops in Controlled Environment Agriculture

2019 ◽  
Author(s):  
Saba Faryadi ◽  
Mohammadreza Davoodi ◽  
Javad Mohammadpour Velni
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Directed Graphs ◽  
Controlled Environment ◽  
Real Time Monitoring ◽  
Collection System ◽  
Image Processing Algorithm ◽  
Ground Vehicle ◽  
Controlled Environment Agriculture ◽  
And Performance

Abstract In this work, we develop a system that can be used for real-time monitoring of multiple important areas in controlled environment agriculture (and in particular greenhouses) using an autonomous ground vehicle (AGV). To model the greenhouse layout, as well as the tasks that should be accomplished by the AGV, we generate two weighted directed graphs. Based on those graphs, an algorithm is then proposed for finding the optimal (in the sense of traveled distance) trajectory of the vehicle with the goal of precisely monitoring important areas in the greenhouse. Furthermore, a data collection system and image processing algorithm is proposed and implemented so that the vehicle: (i) can capture images and detect changes that have occurred on the crops in real time, and (ii) construct (if needed) a map of the plant rows, when arriving at each one of the important areas. Based on this work, the images can either be stitched onboard the vehicle and then sent to a server or be sent directly to the server and then processed (stitched) there. Both simulation and experimental results are provided to demonstrate the effectiveness and performance of the proposed system.

Telescope performance real-time monitoring based on machine learning

2020 ◽  
Vol 500 (1) ◽  
pp. 388-396
Author(s):  
Tian Z Hu ◽  
Yong Zhang ◽  
Xiang Q Cui ◽  
Qing Y Zhang ◽  
Ye P Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
System Performance ◽  
High Performance ◽  
High Efficiency ◽  
Peak Performance ◽  
Source Image ◽  
Detection Accuracy ◽  
Real Time Monitoring ◽  
Active Optics

ABSTRACT In astronomy, the demand for high-resolution imaging and high-efficiency observation requires telescopes that are maintained at peak performance. To improve telescope performance, it is useful to conduct real-time monitoring of the telescope status and detailed recordings of the operational data of the telescope. In this paper, we provide a method based on machine learning to monitor the telescope performance in real-time. First, we use picture features and the random forest algorithm to select normal pictures captured by the acquisition camera or science camera. Next, we cut out the source image of the picture and use convolutional neural networks to recognize star shapes. Finally, we monitor the telescope performance based on the relationship between the source image shape and telescope performance. Through this method, we achieve high-performance real-time monitoring with the Large Sky Area Multi-Object Fibre Spectroscopic Telescope, including guiding system performance, focal surface defocus, submirror performance, and active optics system performance. The ultimate performance detection accuracy can reach up to 96.7 per cent.

Sleep – A Game Changer in the Athletic World?

2018 ◽  
Vol 66 (4) ◽  
Keyword(s):  
Performance Optimization ◽  
High Performance ◽  
Recovery Process ◽  
Poor Sleep ◽  
Recovery Method ◽  
Lack Of Sleep ◽  
And Performance ◽  
The Individual ◽  
Traditional Approaches ◽  
And Control

The restorative qualities of sleep are fundamentally the basis of the individual athlete’s ability to recover and perform, and to optimally be able to challenge and control the effects of exercise regimes in high performance sport. Research consistently shows that a large percentage of the population fails to obtain the recommended 7–9 hours of sleep per night [17]. Moreover, recent years’ research has found that athletes have a high prevalence of poor sleep quality [6]. Given its implications on the recovery process, sleep affects the quality of the athlete’s training and outcome of competitions. Although an increasing number of recovery aids (such as cold baths, anti-inflammatory agents, high protein intake etc.) are available, recent years research show the important and irreplaceable role of sleep and that no recovery method can compensate for the lack of sleep. Every facet of an athlete’s life has the capacity to either create or take out energy, contribute to the overall stress level and subsequently the level of both recovery and performance. While traditional approaches to performance optimization focus simply on the physical stressors, this overview will highlight the benefits and the basic principles of sleep, its relation to recovery and performance, and provide input and reflect on what to consider when working with development and maintenance of athletic performance.

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