Introduction to Sensors for Aerospace and Automotive Applications

Bhattacharya, Shantanu; Ágarwal, Avinash Kumar; Prakash, Om; Singh, Sanjiv; Pandey, Mohit; Kant, Rishi

doi:10.1007/978-981-13-3290-6_1

Cited by 6 publications

(3 citation statements)

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“…In addition to silicon, germanium (Ge) and gallium arsenide (GaAs) are used as substrates. MEMS building blocks are made by deposition, patterning, lithography, etching, and die preparation . MEMS sensors were reported as suitable for wireless and battery-less cardiovascular implants and knee implants .…”

Section: Sensingmentioning

confidence: 99%

Implants with Sensing Capabilities

et al. 2022

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Because of the aging human population and increased numbers of surgical procedures being performed, there is a growing number of biomedical devices being implanted each year. Although the benefits of implants are significant, there are risks to having foreign materials in the body that may lead to complications that may remain undetectable until a time at which the damage done becomes irreversible. To address this challenge, advances in implantable sensors may enable early detection of even minor changes in the implants or the surrounding tissues and provide early cues for intervention. Therefore, integrating sensors with implants will enable real-time monitoring and lead to improvements in implant function. Sensor integration has been mostly applied to cardiovascular, neural, and orthopedic implants, and advances in combined implant-sensor devices have been significant, yet there are needs still to be addressed. Sensor-integrating implants are still in their infancy; however, some have already made it to the clinic. With an interdisciplinary approach, these sensor-integrating devices will become more efficient, providing clear paths to clinical translation in the future.

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Section: Sensingmentioning

confidence: 99%

Implants with Sensing Capabilities

et al. 2022

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“…When monitoring high-speed railway safety by real-time gauge measurement, the measurement accuracy will be decreased because of the high-temperature heat which is easily generated due to the narrow space between the guide rails [8]. In addition, extreme temperatures influence the measurement stability in aerospace work scenarios, and a compact optical system design of the sensor is required due to the constraints of the payload capacity of the aircraft [9]. Therefore, there is a significant application value in developing an LTDS with both a small-size structure and extreme temperature adaptability.…”

Section: Introductionmentioning

confidence: 99%

Development of a small-size laser triangulation displacement sensor and temperature drift compensation method

Nan

Tao

Zhao

2021

Meas. Sci. Technol.

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In practical applications, some special working scenarios need to take into account both narrow space and extreme temperature, which puts more strict requirements on the size and temperature adaptability of the laser triangulation displacement sensor (LTDS). In this paper, a small-size LTDS was developed and the measurement error caused by temperature drift of the sensor was corrected. Firstly, based on direct projection laser triangulation imaging with a reflector unit, a mathematical model of the compact geometry optical structure was established; then, an optimization process of the optical parameters was formulated, and the sensor was assembled. Secondly, a temperature drift error database was built by an extreme temperature experiment, and a general regression neural network model was constructed for error compensation. In addition, root mean square error and execution time were used to evaluate and compare different regression methods. Finally, the experimental results showed that the repeatability accuracy of the proposed sensor was ±2.3 µm, and the temperature linearity was 0.001% F.S. • C −1 .

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“…In a WSN there are interconnected sensitive sensors exchanging information [1]. Today, there has been an increasing interest in the WSN applications in various fields of precision medicine [2], precision agriculture [3, 4], the automotive vehicle industry [5], smart parking system [6], military application [7], E‐health [8] and smart cities [9]. With the increasing use of this technology, it is significant to pay attention to its advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

HEEL: A new clustering method to improve wireless sensor network lifetime

Seyyedabbasi

Doğan

Kiani

2020

IET wirel. sens. syst.

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In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network lifetime. Along with this remarkable growth in wireless sensor networks, however, there is an increasing concern over network lifetime. The principal purpose of this study is to develop an understanding of the effects of other parameters on selecting a cluster head. The methodological approach taken in this study is a mixed methodology typically based on the node's energy. The authors have operated four parameters to select the cluster head: Node energy, the energy of the node's neighbours, number of hops and number of links to neighbours. Each of these parameters has an impact in selecting the cluster head. They accurately observed hop size, energy of each sensor node, average energy of sensor neighbours, links to sensor nodes (HEEL) has better improvements in comparison of Node ranked Low Energy Adaptive Clustering Hierarchy (Nr-LEACH), Modified Low Energy Adaptive Clustering Hierarchy (ModLEACH), Low Energy Adaptive Clustering Hierarchy-B (LEACH-B), Low Energy Adaptive Clustering Hierarchy (LEACH), Power-Efficient Gathering in Sensor Information System (PEGASIS), energy-aware clustering scheme with transmission power control for sensor networks (EACLE) and hybrid energy efficient distributed clustering (HEED) algorithms in possible case of network lifetime and throughput.

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Introduction to Sensors for Aerospace and Automotive Applications

Cited by 6 publications

References 0 publications

Implants with Sensing Capabilities

Implants with Sensing Capabilities

Development of a small-size laser triangulation displacement sensor and temperature drift compensation method

HEEL: A new clustering method to improve wireless sensor network lifetime

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