Microsensors

Gardner, Julian W.; Varadan, Vijay K.; Awadelkarim, Osama O.

doi:10.1002/9780470846087.ch8

Cited by 21 publications

(29 citation statements)

References 41 publications

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“…Although nowadays the learning required to be a successful professional engineer necessitates a multidisciplinary skillset [13]. Over the past decade there has been an increasing acceptance of this crossover between disciplines and degree courses such as Integrated Engineering, Mechatronics and Microelectromechanical Systems (MEMS) are now very popular in Higher Educational institutions [14].…”

Section: Background Rationalementioning

confidence: 99%

Curriculum development of undergraduate and post graduate courses on small unmanned aircraft

Bolam

Vagapov

Anuchin

2017

2017 52nd International Universities Power Engineering Conference (UPEC)

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This paper describes the development of an undergraduate and a post graduate course on Small Unmanned Aircraft (SUA). Few emerging technologies provide the potential for such a diverse application of knowledge as SUA which are more commonly referred to as "Drones". They are being used for civil purposes in a growth business sector predicted to be worth billions of pounds over the next 10 years. They are also revolutionising everything from agriculture to film-making and are increasingly being used to monitor, research and conduct data gathering missions in surveying, mining, forestry, ecology, archaeology virtual reality and computer gaming. The purpose of this paper is to present the ideas and the researched findings which informed the rationale used for the curriculum development of the first Bachelor of Engineering Degree in Drone Technology to be offered in the UK, and also that of an accompanying Master of Science Degree in Unmanned Aircraft System Technology.

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Section: Background Rationalementioning

confidence: 99%

Curriculum development of undergraduate and post graduate courses on small unmanned aircraft

Bolam

Vagapov

Anuchin

2017

2017 52nd International Universities Power Engineering Conference (UPEC)

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“…MEMS have become the state-of-the-art technology for extremely small, robust and energy efficient sensor devices. They combine mechanical elements, measuring physical quantities, with traditional integrated circuit components on a single chip [ 2 ]. Modern inertial MEMS sensors measure, among others, acceleration and rotation several thousand times per second with a high resolution.…”

Section: Introductionmentioning

confidence: 99%

Accurate Sample Time Reconstruction of Inertial FIFO Data

Stieber

Dorsch

Haubelt

2017

Sensors

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In the context of modern cyber-physical systems, the accuracy of underlying sensor data plays an increasingly important role in sensor data fusion and feature extraction. The raw events of multiple sensors have to be aligned in time to enable high quality sensor fusion results. However, the growing number of simultaneously connected sensor devices make the energy saving data acquisition and processing more and more difficult. Hence, most of the modern sensors offer a first-in-first-out (FIFO) interface to store multiple data samples and to relax timing constraints, when handling multiple sensor devices. However, using the FIFO interface increases the negative influence of individual clock drifts—introduced by fabrication inaccuracies, temperature changes and wear-out effects—onto the sampling data reconstruction. Furthermore, additional timing offset errors due to communication and software latencies increases with a growing number of sensor devices. In this article, we present an approach for an accurate sample time reconstruction independent of the actual clock drift with the help of an internal sensor timer. Such timers are already available in modern sensors, manufactured in micro-electromechanical systems (MEMS) technology. The presented approach focuses on calculating accurate time stamps using the sensor FIFO interface in a forward-only processing manner as a robust and energy saving solution. The proposed algorithm is able to lower the overall standard deviation of reconstructed sampling periods below 40 μs, while run-time savings of up to 42% are achieved, compared to single sample acquisition.

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“…Such an oscillator consists of a seismic mass, spring and damper. The model is described by equation (1) (where: m – seismic mass, x – seismic mass deflection, b – damping constant, k – spring constant, a – acceleration value, f – frequency of exciting force, t – time) (Gardner, 1994). If the acceleration is approximately constant the equation can be simplified to the dependence given by equation (2).…”

Section: Introductionmentioning

confidence: 99%

Three axial low temperature cofired ceramic accelerometer

Jurków

2013

Microelectronics International

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Purpose -The paper aims to present numerical modeling and technology of a very first three axial low temperature cofired ceramics (LTCC) accelerometer. Design/methodology/approach -Low temperature cofired ceramics technology was applied in the fabrication process of the novel device. The numerical modeling was used to predict the properties of the accelerometer, moreover, design of the experiment methodology was used to reduce time of simulation and to get as much as information from the experiment as possible. Findings -The low temperature cofired ceramics make it possible to fabricate three axial accelerometer.Research limitations/implications -The presented device is just a first prototype. Therefore, further research work will be needed to improve structural drawbacks and to analyze precisely the device reliability and parameters repeatability. Practical implications -The device presented in the paper can be applied in systems working in a harsh environment (high temperature and humidity). Ceramic sensors can withstand temperatures up to 6008C. Originality/value -This paper presents novel three axial LTCC accelerometer.

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Microsensors

Cited by 21 publications

References 41 publications

Curriculum development of undergraduate and post graduate courses on small unmanned aircraft

Curriculum development of undergraduate and post graduate courses on small unmanned aircraft

Accurate Sample Time Reconstruction of Inertial FIFO Data

Three axial low temperature cofired ceramic accelerometer

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