LOW COST REAL TIME ROCKET TELEMETRY SYSTEM DESIGN

Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato
2010 ◽  
Vol 7 (2) ◽  
pp. 32 ◽  
Author(s):  
L. Khriji ◽  
F. Touati ◽  
N. Hamza

 Nowadays, there is a significant improvement in technology regarding healthcare. Real-time monitoring systems improve the quality of life of patients as well as the performance of hospitals and healthcare centers. In this paper, we present an implementation of a designed framework of a telemetry system using ZigBee technology for automatic and real-time monitoring of Biomedical signals. These signals are collected and processed using 2-tiered subsystems. The first subsystem is the mobile device which is carried on the body and runs a number of biosensors. The second subsystem performs further processing by a local base station using the raw data which is transmitted on-request by the mobile device. The processed data as well as its analysis are then continuously monitored and diagnosed through a human-machine interface. The system should possess low power consumption, low cost and advanced configuration possibilities. This paper accelerates the digital convergence age through continual research and development of technologies related to healthcare. 


2013 ◽  
Vol 198 ◽  
pp. 90-95 ◽  
Author(s):  
Krzysztof J. Kaliński ◽  
Cezary Buchholz

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.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012093
Author(s):  
Peng Gao ◽  
Wei Li ◽  
Jian Fang ◽  
Yue Wu

Abstract To solve the problem that traditional Kinking equipment can not meet the needs of handcrafters today. The system to automation, intelligence asa breakthrough point, the use of STC12C5A60S2 micro-controller as the control core of the entire system, through the Hall encoder, film keyboard, LCD display, so that producers can use only keys to control the wire-tanger, and can be real-time from the display to observe the state of work, so as to achieve low-cost, high-efficiency wire production. Experiments show that in the case of 14 hours of continuous work, the tanger can still complete the normal tanger work and the accuracy rate is as high as 99.8percent. Low cost, good stability, high efficiency, small size, wire-tanger can assist people’s production and life, to achieve the goal of efficient production.


2015 ◽  
pp. 537-558
Author(s):  
Nuria Novas ◽  
José Antonio Gázquez ◽  
Marina Noguerol

This chapter discusses the development and implementation methodology of a real-time biomedical telemetry system for ambulances. Comparable systems, together with their authors' claimed improvements, are evaluated and analysed in this chapter. The authors start by providing an overview of the most relevant systems, and then introduce the reader to the methodology used to develop and implement a real-time communications system that allows low-cost data transmission from a medical monitor and haematology analyser installed in an ambulance. This system was evaluated in terms of how well it can provide health assistance within a 50 km radius of the Torrecardenas Hospital (part of the public health-care system in southern Spain). Results have been technically and medically validated, and encourage further implementation of this technology, since it was proved to be reliable, while the transmitted data allow a correct and thorough patient evaluation throughout the patient's transportation to the hospital.


Author(s):  
R. Ramkumar ◽  
Sanjoy Deb

In this paper, a real-time low-cost geophone-based Elephant Footstep Vibration Detection and Identification (EFVDI) system is proposed. The system design started with a real-time low-cost generalized Footstep Vibration Recording and Analyzing (FVRA) system. A series of field experiments to record elephant footstep vibration (target) signals and other possible interfering ground vibration (noise) sources are conducted using the FVRA system. System’s actual field performance was evaluated in terms of maximum detection range, signal amplitude, detection ratio, signal frequency, signal time span, etc. Variations of system’s performance with several input parameters are also investigated. The recorded signals from target as well as noise sources are analyzed to extract different Signal Parameters (SPs). All SPs are saved in a Ground Vibration Signal Pattern Library (GVSPL) which is then used to frame accurate indigenous Elephant Identification Algorithm (EIA). The EIA is embedded in FVRA system to reshape it as specific Elephant Footstep Vibration Detection and Identification (EFVDI) system. The EFVDI system has successfully segregated elephant footsteps from other noise vibrations with high accuracy under simulated field experiment. The results from the proposed system will provide important data to the ongoing research of developing the much needed highly accurate Elephant Early Warning System (EEWS) in future.


Author(s):  
Nuria Novas ◽  
José Antonio Gázquez ◽  
Marina Noguerol

This chapter discusses the development and implementation methodology of a real-time biomedical telemetry system for ambulances. Comparable systems, together with their authors’ claimed improvements, are evaluated and analysed in this chapter. The authors start by providing an overview of the most relevant systems, and then introduce the reader to the methodology used to develop and implement a real-time communications system that allows low-cost data transmission from a medical monitor and haematology analyser installed in an ambulance. This system was evaluated in terms of how well it can provide health assistance within a 50 km radius of the Torrecardenas Hospital (part of the public health-care system in southern Spain). Results have been technically and medically validated, and encourage further implementation of this technology, since it was proved to be reliable, while the transmitted data allow a correct and thorough patient evaluation throughout the patient’s transportation to the hospital.


2021 ◽  
Author(s):  
F. L. Mutho’Affifah ◽  
S. T. Puruhita ◽  
M. N. Adiba ◽  
N. F. Rohmah ◽  
E. D. Arisandi

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).


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