HILS for the Design of Three-Wheeled Mobile Platform Motion Surveillance System with a Use of Energy Performance Index

2013 ◽  
Vol 198 ◽  
pp. 90-95 ◽  
Author(s):  
Krzysztof J. Kaliński ◽  
Cezary Buchholz
Keyword(s):  
System Design ◽  
Real Time ◽  
Performance Index ◽  
Surveillance System ◽  
High Performance ◽  
Low Cost ◽  
Energy Performance ◽  
Mobile Platform ◽  
Test Configuration ◽  
Control Command

Current tendency in mechatronic design requires the use of comprehensive development of an environment, which gives the possibility to prototype, design, simulate and integrate with dedicated hardware. The paper discusses the Hardware-In-the-Loop Simulations (HILS) mechatronic technique [, used during the design of the surveillance system based on energy performance index [. The presented test configuration (physical controller emulated virtual research object) allows authors to verify responses (in the LabVIEW [) of the mobile platform model, to the optimal control commands (torques), generated by the Real Time controller. Defined energy performance index, supported by the correction velocities, controls the emulated platform while moving along three different trajectories. The demonstrated test results are compared with desired values obtained during numerical computation process of kinematic and dynamic equations of the presented model. The authors investigation of the HILS affected final optimisation of the motion surveillance system design. Real time requirements enforced authors to decrease sampling time of control command (signal generation frequency) and establish high performance execution strategy for on-line algorithm (algorithm execution performed both in Real Time processor and in the FPGA - Field Programmable Gate Array) [. The performed simulations confirmed that the HILS is a powerful technique, which improves system design making that more efficient and low cost consuming.

LOW COST REAL TIME ROCKET TELEMETRY SYSTEM DESIGN

2019 ◽  
Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato
Keyword(s):  
System Design ◽  
Real Time ◽  
Low Cost ◽  
Telemetry System

Using AI at the Edge and Incremental Machine Learning to Process Onboard Instrument Data

2021 ◽  
Author(s):  
Nicholas Parkyn
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Real Time ◽  
Data Storage ◽  
High Performance ◽  
Heterogeneous Computing ◽  
Low Cost ◽  
Machine Intelligence ◽  
Edge Computing ◽  
Continual Learning

Emerging heterogeneous computing, computing at the edge, machine learning and AI at the edge technology drives approaches and techniques for processing and analysing onboard instrument data in near real-time. The author has used edge computing and neural networks combined with high performance heterogeneous computing platforms to accelerate AI workloads. Heterogeneous computing hardware used is readily available, low cost, delivers impressive AI performance and can run multiple neural networks in parallel. Collecting, processing and machine learning from onboard instruments data in near real-time is not a trivial problem due to data volumes, complexities of data filtering, data storage and continual learning. Little research has been done on continual machine learning which aims at a higher level of machine intelligence through providing the artificial agents with the ability to learn from a non-stationary and never-ending stream of data. The author has applied the concept of continual learning to building a system that continually learns from actual boat performance and refines predictions previously done using static VPP data. The neural networks used are initially trained using the output from traditional VPP software and continue to learn from actual data collected under real sailing conditions. The author will present the system design, AI, and edge computing techniques used and the approaches he has researched for incremental training to realise continual learning.

scholarly journals Application of IoT and BEMS to Visualise the Environmental Performance of an Educational Building

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 4009
Author(s):  
Mohataz Hossain ◽  
Zhenzhou Weng ◽  
Rosa Schiano-Phan ◽  
David Scott ◽  
Benson Lau
Keyword(s):  
Real Time ◽  
Environmental Performance ◽  
Learning Experience ◽  
Low Cost ◽  
Environmental Parameters ◽  
Energy Performance ◽  
Existing Building ◽  
Building Energy Management ◽  
Sound Levels ◽  
Questionnaire Surveys

This paper presents the application of Internet of Things (IoT) Technology and Building Energy Management System (BEMS) within the Marylebone Campus of the University of Westminster, located in central London, to improve the environmental performance of the existing building as well as enhance the learning experience on energy and sustainability. Sixty IoT sensors connected to minicomputers were planned to be deployed within three floors of the building to continuously measure the real-time environmental parameters, such as dry-bulb temperature, relative humidity, illuminance level, carbon dioxide, and sound levels. Experimental workshops were also arranged with undergraduate and post-graduate students at their classrooms using IoT sensors, portable Bluetooth sensors and online questionnaires to increase awareness of the effect of environmental and behavioural changes on energy saving through real-time visualisation. Users’ subjective feedback on their workplace was also collected through Post Occupancy Evaluation (POE) questionnaire surveys. The results show the effectiveness of IoT systems and BEMS in supplying the building users and management with high-resolution, low-cost data acquisition systems highlighting the existing challenges and future scopes. The study also documents the process and the improvement in students’ awareness of environmental and energy performance of their building through IoT data visualizations and POE.

Low-Cost Receiver and Network Real-Time Kinematic Positioning for use in Connected and Autonomous Vehicles

2019 ◽  
Vol 72 (04) ◽  
pp. 917-930
Author(s):  
Fang-Shii Ning ◽  
Xiaolin Meng ◽  
Yi-Ting Wang
Keyword(s):  
Real Time ◽  
Autonomous Vehicles ◽  
High Performance ◽  
Low Cost ◽  
Satellite System ◽  
High Accuracy ◽  
Future Trend ◽  
Intelligent Transport System ◽  
Positioning System ◽  
Gnss Receiver

Connected and Autonomous Vehicles (CAVs) have been researched extensively for solving traffic issues and for realising the concept of an intelligent transport system. A well-developed positioning system is critical for CAVs to achieve these aims. The system should provide high accuracy, mobility, continuity, flexibility and scalability. However, high-performance equipment is too expensive for the commercial use of CAVs; therefore, the use of a low-cost Global Navigation Satellite System (GNSS) receiver to achieve real-time, high-accuracy and ubiquitous positioning performance will be a future trend. This research used RTKLIB software to develop a low-cost GNSS receiver positioning system and assessed the developed positioning system according to the requirements of CAV applications. Kinematic tests were conducted to evaluate the positioning performance of the low-cost receiver in a CAV driving environment based on the accuracy requirements of CAVs. The results showed that the low-cost receiver satisfied the “Where in Lane” accuracy level (0·5 m) and achieved a similar positioning performance in rural, interurban, urban and motorway areas.

scholarly journals Multiple Compact Camera Fluorescence Detector for Real-Time PCR Devices

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7013
Author(s):  
Seul-Bit-Na Koo ◽  
Hyeon-Gyu Chi ◽  
Jong-Dae Kim ◽  
Yu-Seop Kim ◽  
Ji-Sung Park ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
High Performance ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
Optical Element ◽  
Dna Amplification ◽  
Biological Research ◽  
Fluorescence Detector ◽  
Fluorescence Excitation

The polymerase chain reaction is an important technique in biological research because it tests for diseases with a small amount of DNA. However, this process is time consuming and can lead to sample contamination. Recently, real-time PCR techniques have emerged which make it possible to monitor the amplification process for each cycle in real time. Existing camera-based systems that measure fluorescence after DNA amplification simultaneously process fluorescence excitation and emission for dozens of tubes. Therefore, there is a limit to the size, cost, and assembly of the optical element. In recent years, imaging devices for high-performance, open platforms have benefitted from significant innovations. In this paper, we propose a fluorescence detector for real-time PCR devices using an open platform camera. This system can reduce the cost, and can be miniaturized. To simplify the optical system, four low-cost, compact cameras were used. In addition, the field of view of the entire tube was minimized by dividing it into quadrants. An effective image processing method was used to compensate for the reduction in the signal-to-noise ratio. Using a reference fluorescence material, it was confirmed that the proposed system enables stable fluorescence detection according to the amount of DNA.

scholarly journals Vertical MEMS Resonators for Real-Time Clock Applications

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
A. Pomarico ◽  
A. Morea ◽  
P. Flora ◽  
G. Roselli ◽  
E. Lasalandra
Keyword(s):  
Real Time ◽  
High Performance ◽  
Large Scale ◽  
Low Cost ◽  
Frequency Stability ◽  
Equivalent Resistance ◽  
Real Time Clock ◽  
Mems Resonator ◽  
Mems Resonators ◽  
Frequency Tunable

MEMS resonators are today widely investigated as a desirable alternative to quartz resonators in real-time clock applications, because of their low-cost, integration capability properties. Nevertheless, MEMS resonators performances are still not competitive, especially in terms of frequency stability and device equivalent resistance (and, then, power consumption). We propose a new structure for a MEMS resonator, with a vertical-like transduction mechanism, which exhibits promising features. The vertical resonator can be fabricated with the low-cost, high performance THELMA technology, and it is designed to be efficiently frequency tunable. With respect to the commonly investigated lateral resonators, it is expected to have lower equivalent resistances and improved large-scale repeatability characteristics.

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