With the rapid development of the Internet of Things and environmental sensing systems, intelligent microsystems based on MEMS (Micro-Electro-Mechanical systems) sensor arrays for environmental sensing have broad appl...
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Aiming to improve the sensitivity of the tactile sensor, we proposed and demonstrated a miniaturized fiber in-line Mach-Zehnder interferometer (MZI) sensor for the measurement of grasping force. The simulation using R...
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With increasing digitization, the need for highly integrated sensorsystems that ensure long-term recording of physical data is also growing. Smart materials are ideal for implementing such systems, as they have the a...
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ISBN:
(数字)9781510672031
ISBN:
(纸本)9781510672031;9781510672024
With increasing digitization, the need for highly integrated sensorsystems that ensure long-term recording of physical data is also growing. Smart materials are ideal for implementing such systems, as they have the ability to convert mechanical energies in the form of stresses, deformations and vibrations into an electrically measurable quantity and thus fulfil a sensory task. This can be achieved using the direct piezoelectric effect (the inverse or indirect piezoelectric effect can enable an actuator function). In addition, the electrical charge energy generated by the piezoelectric effect can also be fed to an electrical storage device (accumulator, capacitor, etc.) in order to supply energy to a decentrally operating system. In this case, we speak of energy harvesting. The combination of these two technical principles (sensor and energy harvesting) is particularly suitable for the design of decentralized energy-autonomous, highly integrated monitoring systems. The best-known materials with a piezoelectric effect are ceramic or crystalline materials enabling the design of a wide variety of sensor and harvesting concepts. Due to their high young's modulus, their brittle material behavior and their high specific density, these materials are only suitable to a very limited extent for technical applications in which solutions are sought for integration into flexible systems such as textiles. Alternatives are offered by polymeric materials of which PVDF (polyvinylidene fluoride) has already been considered in several papers. However, these materials are disadvantageous in terms of transducer coefficients. More advantageous are piezoelectric electrets (also called piezoelectrets or ferroelectrets) due to their high piezoelectric coefficients and low mass density. They allow the realization of lightweight transducers with high output power. In this paper, the results from recently completed research projects are presented and possible applications for ferroelectrets to
The paper represents the result of developments of the Institute of Cybernetics of NAS of Ukraine in the field of smart systems for precision agriculture, environmental protection and healthcare. Main conceptions, str...
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Electronic textiles (E-textiles) can act as an exceptional substrate for incorporating sensing devices for monitoring physiological parameters, as they are comfortable to wear close to the skin. This makes them excell...
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ISBN:
(纸本)9798400703317
Electronic textiles (E-textiles) can act as an exceptional substrate for incorporating sensing devices for monitoring physiological parameters, as they are comfortable to wear close to the skin. This makes them excellent for a variety of applications in the healthcare, wellbeing, and personal protection sectors. One method of creating E-textiles with good textile properties is to integrate an electronic component into a yarn to create an electronic yarn (or E-yarn), which can then be used to construct a textile. This Interactivity Lab Demonstration will present electronic textiles developed by the advanced Textiles Research Group (ATRG) from Nottingham Trent University (UK). The group has conducted a wealth of research into the development of E-yarns and the incorporation of these into textiles and garment. At CHI, users will be able to interact with textiles capable of fall and near-fall detection, temperature sensing, acoustic sensing, giving haptic feedback, and harvesting solar energy.
The straightness of the rail track not only affects the running speed and comfort of the train, but also leads to violent noise and damage to the accelerated train, and even endangers the traffic safety. Therefore, th...
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The detection of the rail straightness is crucial to the maintenance of the track. This paper designed a rail straightness detector based on laser displacement sensor. Based on the theoretical analysis of the detectio...
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Oracle has an anomaly detection solution for monitoring time-series telemetry signals for dense-sensor IoT prognostic applications. It integrates an advanced prognostic pattern recognition technique called Multivariat...
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ISBN:
(纸本)9781665490320
Oracle has an anomaly detection solution for monitoring time-series telemetry signals for dense-sensor IoT prognostic applications. It integrates an advanced prognostic pattern recognition technique called Multivariate State Estimation Technique (MSET) for high-sensitivity prognostic fault monitoring applications in commercial nuclear power and aerospace applications. MSET has since been spun off and met with commercial success for prognostic Machine Learning (ML) applications in a broad range of safety critical applications, including NASA space shuttles, oil-and-gas asset prognostics, and commercial aviation streaming prognostics. MSET proves to possess significant advantages over conventional ML solutions including neural networks, autoassociative kernel regression, and support vector machines. The main advantages include earlier warning of incipient anomalies in complex time-series signatures, and much lower overhead compute cost due to the deterministic mathematical structure of MSET. Both are crucial for dense-sensor avionic IoT prognostics. In addition, Oracle has developed an extensive portfolio of data preprocessing innovations around MSET to solve the common big-data challenges that cause conventional ML algorithms to perform poorly regarding prognostic accuracy (i.e, false/missed alarm probabilities). Oracle's MSET-based prognostic solution helps increase avionic reliability margins and system availability objectives while reducing costly sources of "no fault found" events that have become a significant sparing-logistics issue for many industries including aerospace and avionics. Moreover, by utilizing and correlating information from all on-board telemetry sensors (e.g., distributed pressure, voltage, temperature, current, airflow and hydraulic flow), MSET is able to provide the best possible prediction of failure precursors and onset of small degradation for the electronic components used on aircrafts, benefiting the aviation Prognostics and Health Mana
In this paper, the authors propose a compact microwave sensor designed for monitoring the Blood Glucose Levels (BGL) of both hyperglycaemic (BGL 200 mg/dL) and hypoglycaemic (with BGL 50 mg/dL) patients. Our approach ...
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The present paper proposes a Surface Plasmon Resonance (SPR) sensor utilizing Twisted Bilayer Graphene (TBG)Hexagonal Boron Nitride (hBN) heterostructures to enhance the Goos-Hänchen (GH) shift. The study present...
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