scholarly journals Multifunctional Flexible and Wearable Sensing System Based on Optical Microfiber Interferometry

2021 ◽  
Author(s):  
Pratik Mishra ◽  
Hemant Kumar ◽  
Subrat Sahu ◽  
Rajan jha
Keyword(s):  
Athletic Training ◽  
Rehabilitation Program ◽  
Industrial Applications ◽  
Flexible Devices ◽  
Sensing System ◽  
System A ◽  
Higher Order Modes ◽  
Ultrahigh Sensitivity ◽  
Optical Microfiber ◽  
Wearable Medical

Abstract Optical segments based flexible systems are the key for the development of futuristic advanced wearable devices for health monitoring, robotics, and ultraprecision positioning in industrial applications. Here, we have demonstrated an processed optical microfiber based multifunctional sensing system, which overcomes the various limitations of most widely reported electronics and material-based flexible devices. By optimizing the position of the post processed microfiber configuration in optimized Polydimethylsiloxane (PDMS) thickness and controlling the interference between the fundamental mode and higher order modes of microfiber to form and tunable interference pattern, we are able to make an efficient, simple, flexible and economical optical wearable vector bending system with a sensitivity as high as 1.01nm/degree. In addition, this skinmountable sensing sensor shows a remarkable and ultrasensitivity of -3.07 nm/oC. This ultrahigh sensitivity, mechanical robustness, with the excellent flexible and biocompatible nature also makes this sensing system a dominant candidate for wearable medical devices for elder-care facilities, physioclogical monitoring, athletic training, and rehabilitation program.

Design of a Sensor System Using Fiber Bragg Grating for Liquid Level and Liquid Density Measurement

2020 ◽  
Vol 18 (12) ◽  
pp. 889-893
Author(s):  
Kalyan Biswas
Keyword(s):  
Fiber Bragg Grating ◽  
Density Measurement ◽  
Sensor System ◽  
Liquid Level ◽  
Bragg Grating ◽  
Liquid Density ◽  
Bragg Wavelength ◽  
Sensing System ◽  
System A ◽  
Level Monitoring

In this work, a simple but versatile sensing system for very accurate sensing of liquid level and liquid density is presented. The sensor works based on basic strain sensitivity of Fiber Bragg Grating (FBG) and principle of liquid obeying Archimedes’ law of buoyancy. In this system, a cylindrical shaped mass suspended from a Fiber Bragg Grating and partially immersed in the liquid to be sensed. If the liquid level in the container or liquid density varies, that change the up thrust on the suspended mass and load on the Fiber will be changed accordingly. The change in the load on Fiber changes strain on the FBG and the reflected Bragg wavelength also changes. The proposed device with proper calibration should be able to carry out real time and nonstop liquid level and liquid density measurements. A mathematical analysis of the system considering liquid properties and geometrical structure of the suspended mass is presented here. Sensitivity of the system for liquid level monitoring is also reported. Achieved results shows the path for the utilization of the proposed sensor system for precise liquid density measurement and liquid level sensing in very large storage tanks used for commercial/residential applications.

Condenser Tube Examination Using Acoustic Pulse Reflectometry

2008 ◽  
Author(s):  
Noam Amir ◽  
Oded Barzelay ◽  
Amir Yefet ◽  
Tal Pechter
Keyword(s):  
Acoustic Pulse ◽  
Large Degree ◽  
Industrial Applications ◽  
Detection Methods ◽  
Internal Diameter ◽  
Condenser Tube ◽  
Indirect Methods ◽  
Wave Separation ◽  
System A ◽  
Propagating Waves

Acoustic Pulse Reflectometry (APR) has been applied extensively to tubular systems in research laboratories, for purposes of measuring input impedance, bore reconstruction, and fault detection. Industrial applications have been mentioned in the literature, though they have not been widely implemented. Academic APR systems are extremely bulky, often employing source tubes of six meters in length, which limits their industrial use severely. Furthermore, leak detection methods described in the literature are based on indirect methods, by carrying out bore reconstruction and finding discrepancies between the expected and reconstructed bore. In this paper we describe an APR system designed specifically for detecting faults commonly found in industrial tube systems: leaks, increases in internal diameter caused by wall thinning, and constrictions. The system employs extremely short source tubes, on the order of 20cm, making it extremely portable, but creating a large degree of overlap between forward and backward propagating waves in the system. A series of algorithmic innovations enable the system to perform the wave separation mathematically, and then identify the above faults automatically, with a measurement time on the order of 10 seconds per tube. We present several case studies of condenser tube inspection, showing how different faults are identified and reported.

scholarly journals Tuning and Feasibility Analysis of Classical First-Order MIMO Non-Linear Sliding Mode Control Design for Industrial Applications

Machines ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 10 ◽  
Author(s):  
Alessandro Palmieri ◽  
Renato Procopio ◽  
Andrea Bonfiglio ◽  
Massimo Brignone ◽  
Marco Invernizzi ◽  
...  
Keyword(s):  
Feedback Linearization ◽  
Sliding Mode ◽  
Parameter Tuning ◽  
Industrial Applications ◽  
Single Input Single Output ◽  
First Order ◽  
Control Techniques ◽  
Single Output ◽  
System A ◽  
Single Input

Model-based control techniques have been gaining more and more interest these days. These complex control systems are mostly based on theories, such as feedback linearization, model predictive control, adaptive and robust control. In this paper the latter approach is investigated, in particular, sliding mode (SM) control is analyzed. While several works on the description and application of SM control on single-input single-output systems can easily be found, its application on multi-input multi-output systems is not examined in depth at the same level. Hence, this work aims at formalizing some theoretical complements about the necessary conditions for the feasibility of the SM control for multi-input-multi-output systems. Furthermore, in order to obtain the desired performance from the control system, a method for parameter tuning is proposed in the particular case in which the relative degree of the controlled channels is equal to one. Finally, a simple control problem example is shown with the aim of stressing the benefits derived from the application of the theoretical complements described here.

Internal kinematics in a planar granular column collapse

2020 ◽  
Author(s):  
Miguel Angel Cabrera ◽  
Gustavo Pinzón
Keyword(s):  
Complex Dynamics ◽  
Industrial Applications ◽  
Mass Movements ◽  
System A ◽  
Column Collapse ◽  
Fluid Systems ◽  
Gravity Driven ◽  
Deformation Patterns ◽  
Granular Column ◽  
Fluid Interactions

<p>The granular column collapse is a simplified system of the complex dynamics observed in gravity-driven natural mass-movements (i.e., landslides, debris flows, rock avalanches) and industrial applications (i.e., pharmaceutics, concrete, and food industry). In this system, a granular column is built with an initial height and initial width and then is allowed to collapse by self-weight onto a horizontal plane, while observing the variation in runout as a function of its initial geometry. Despite its wide use in the study of mass-movements mobility, either dry or with a liquid, little is known on the internal physics during collapse and its variation when immersed in an ambient fluid. This work presents a planar setup that allows the study of fully and partially immersed granular columns, with little disturbance at release [1]. The use of a planar configuration allows the monitoring of the moving mass and its deformation patterns, providing a unique insight into the particle-fluid interactions at release and during collapse that were not possible before. These observations are of great importance for the understanding of particle-fluid interactions at a mesoscale and can shed light into larger processes like a submarine and subaerial landslides. This work addresses these interactions by varying the geometry and measuring the mobility in dry and immersed conditions. The associated deformation patterns are observed both at the column-scale and at the particle-scale, reflecting in the velocity scaling of a deformable and moving granular mass and the occasional ejection of particles at its surface. We observed that the area of the released portion decreases during collapse and converges toward an equivalent portion of surface particles with little influence by the initial column geometry. These observations validate the planar setup for the study of granular columns, provides a novel interpretation in the momentum transfer in particle-fluid systems, and sets a validation case for future numerical simulations.</p><p>[1] Pinzon & Cabrera, Planar collapse of a submerged granular column. Physics of fluids, v31, 2019.</p>

CONTENT BASED IMAGE RETRIEVAL USING DISCRETE WAVELET TRANSFORM

2004 ◽  
Vol 18 (01) ◽  
pp. 19-32 ◽  
Author(s):  
SAEID BELKASIM ◽  
XIANYU HONG ◽  
O. BASIR
Keyword(s):  
Wavelet Transform ◽  
Image Retrieval ◽  
Discrete Wavelet Transform ◽  
Retrieval System ◽  
Industrial Applications ◽  
Discrete Wavelet ◽  
Retrieval Process ◽  
System A ◽  
Image Transforms ◽  
The Common

Image retrieval plays an important role in a broad spectrum of applications. Contentbased retrieval (CBR) is one of the popular choices in many biomedical and industrial applications. Discrete image transforms have been widely studied and suggested for many image retrieval applications. The Discrete Wavelet Transform (DWT) is one of the most popular transforms recently applied to many image processing applications. The Daubechies wavelet can be used to form the basis for extracting features in retrieving images based on the description of a particular object within the scene. This wavelet is widely used for image compression. In this paper we highlight the common features between compression and retrieval. Several examples are used to test the DWT retrieval system. A comparison between DWT and Discrete Cosine Transform (DCT) is also made. The retrieval system using DWT requires preprocessing and normalization of images, which might slow down the retrieval process. The accuracy of the retrieval using DWT has been significantly improved by incorporating efficient K-Neighbor Nearest Distance (KNND) measure in our system.

Stand-Alone Stretchable Absolute Pressure Sensing System for Industrial Applications

2017 ◽  
Vol 64 (11) ◽  
pp. 8739-8746 ◽  
Author(s):  
Yue Guo ◽  
Sebastiano Schutz ◽  
Alessandro Vaghi ◽  
Yu-Hung Li ◽  
Zhiqiang Guo ◽  
...  
Keyword(s):  
Industrial Applications ◽  
Absolute Pressure ◽  
Pressure Sensing ◽  
Sensing System

scholarly journals Shotgun proteomics analysis of nanoparticle-synthesisingDesulfovibrio alaskensisin response to platinum and palladium

2019 ◽  
Author(s):  
Michael J. Capeness ◽  
Lisa Imrie ◽  
Lukas F. Mühlbauer ◽  
Thierry Le Bihan ◽  
Louise E. Horsfall
Keyword(s):  
Resistance Mechanism ◽  
Shotgun Proteomics ◽  
Small Subunit ◽  
Industrial Applications ◽  
Metal Resistance ◽  
Platinum Group Metals ◽  
System A ◽  
Genetic Components ◽  
Stress Response System ◽  
Contaminant Metals

AbstractPlatinum and palladium are much sought-after metals of global critical importance in terms of abundance and availability. At the nano-scale these metals are of even higher value due to their catalytic abilities for industrial applications.Desulfovibrio alaskensisis able to capture ionic forms of both of these metals, reduce them, and synthesize elemental nanoparticles. Despite this ability very little is known about the biological pathways involved in the formation of these nanoparticles. Proteomic analysis ofD. alaskensisin response to platinum and palladium has highlighted those proteins involved in both the reductive pathways and the wider stress-response system. A core set of 13 proteins was found in both treatments and consisted of proteins involved in metal transport and reduction. There were also 7 proteins specific to either platinum or palladium. Over-expression of one of these platinum-specific genes, a NiFe hydrogenase small subunit (Dde_2137), resulted in the formation of larger nanoparticles. This study improves our understanding of the pathways involved in the metal resistance mechanism ofDesulfovibrioand informs how we can tailor the bacterium for nanoparticle production, enhancing its application as a bioremediation tool and as way to capture contaminant metals from the environment.ImportanceBacteria, in particularlyD. alaskensis, represent a biological and greener way to capture high value metals such as platinum group metals from environmental and industrial waste streams. The recovery of these metals in nanoparticle forms adds extra value to this process as they can be used in a variety of different industrial applications as they have exceptional catalytic capabilities.D. alaskensisability to do this, has been widely reported, though very little is understood about the underlying protein and genetic components. It is by understanding the biological basis of this capability that we can further improve and adapt this bacterium to be better at bioremediation and to control its ability to do so.

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