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sensor array</title> <meta name="description" content="Search results for: acoustic sensor array"> <meta name="keywords" content="acoustic sensor array"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="acoustic sensor array"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2601</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: acoustic sensor array</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2601</span> Design of an Acoustic Imaging Sensor Array for Mobile Robots</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dibyendu%20Roy">Dibyendu Roy</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Ramu%20Reddy"> V. Ramu Reddy</a>, <a href="https://publications.waset.org/abstracts/search?q=Parijat%20Deshpande"> Parijat Deshpande</a>, <a href="https://publications.waset.org/abstracts/search?q=Ranjan%20Dasgupta"> Ranjan Dasgupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Imaging of underwater objects is primarily conducted by acoustic imagery due to the severe attenuation of electro-magnetic waves in water. Acoustic imagery underwater has varied range of significant applications such as side-scan sonar, mine hunting sonar. It also finds utility in other domains such as imaging of body tissues via ultrasonography and non-destructive testing of objects. In this paper, we explore the feasibility of using active acoustic imagery in air and simulate phased array beamforming techniques available in literature for various array designs to achieve a suitable acoustic sensor array design for a portable mobile robot which can be applied to detect the presence/absence of anomalous objects in a room. The multi-path reflection effects especially in enclosed rooms and environmental noise factors are currently not simulated and will be dealt with during the experimental phase. The related hardware is designed with the same feasibility criterion that the developed system needs to be deployed on a portable mobile robot. There is a trade of between image resolution and range with the array size, number of elements and the imaging frequency and has to be iteratively simulated to achieve the desired acoustic sensor array design. The designed acoustic imaging array system is to be mounted on a portable mobile robot and targeted for use in surveillance missions for intruder alerts and imaging objects during dark and smoky scenarios where conventional optic based systems do not function well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20sensor%20array" title="acoustic sensor array">acoustic sensor array</a>, <a href="https://publications.waset.org/abstracts/search?q=acoustic%20imagery" title=" acoustic imagery"> acoustic imagery</a>, <a href="https://publications.waset.org/abstracts/search?q=anomaly%20detection" title=" anomaly detection"> anomaly detection</a>, <a href="https://publications.waset.org/abstracts/search?q=phased%20array%20beamforming" title=" phased array beamforming"> phased array beamforming</a> </p> <a href="https://publications.waset.org/abstracts/43887/design-of-an-acoustic-imaging-sensor-array-for-mobile-robots" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43887.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">409</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2600</span> A Study of Structural Damage Detection for Spacecraft In-Orbit Based on Acoustic Sensor Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Qi">Lei Qi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rongxin%20Yan"> Rongxin Yan</a>, <a href="https://publications.waset.org/abstracts/search?q=Lichen%20Sun"> Lichen Sun </a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the increasing of human space activities, the number of space debris has increased dramatically, and the possibility that spacecrafts on orbit are impacted by space debris is growing. A method is of the vital significance to real-time detect and assess spacecraft damage, determine of gas leak accurately, guarantee the life safety of the astronaut effectively. In this paper, acoustic sensor array is used to detect the acoustic signal which emits from the damage of the spacecraft on orbit. Then, we apply the time difference of arrival and beam forming algorithm to locate the damage and leakage. Finally, the extent of the spacecraft damage is evaluated according to the nonlinear ultrasonic method. The result shows that this method can detect the debris impact and the structural damage, locate the damage position, and identify the damage degree effectively. This method can meet the needs of structural damage detection for the spacecraft in-orbit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20sensor%20array" title="acoustic sensor array">acoustic sensor array</a>, <a href="https://publications.waset.org/abstracts/search?q=spacecraft" title=" spacecraft"> spacecraft</a>, <a href="https://publications.waset.org/abstracts/search?q=damage%20assessment" title=" damage assessment"> damage assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=leakage%20location" title=" leakage location"> leakage location</a> </p> <a href="https://publications.waset.org/abstracts/68599/a-study-of-structural-damage-detection-for-spacecraft-in-orbit-based-on-acoustic-sensor-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68599.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">295</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2599</span> An Automated Sensor System for Cochlear Implants Electrode Array Insertion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Hou">Lei Hou</a>, <a href="https://publications.waset.org/abstracts/search?q=Xinli%20Du"> Xinli Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Nikolaos%20Boulgouris"> Nikolaos Boulgouris</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A cochlear implant, referred to as a CI, is a small electronic device that can provide direct electrical stimulation to the auditory nerve. During cochlear implant surgery, atraumatic electrode array insertion is considered to be a crucial step. However, during implantation, the mechanical behaviour of an electrode array inside the cochlea is not known. The behaviour of an electrode array inside of the cochlea is hardly identified by regular methods. In this study, a CI electrode array capacitive sensor system is proposed. It is able to automatically determine the array state as a result of the capacitance variations. Instead of applying sensors to the electrode array, the capacitance information from the electrodes will be gathered and analysed. Results reveal that this sensing method is capable of recognising different states when fed into a pre-shaped model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cochlear%20implant" title="cochlear implant">cochlear implant</a>, <a href="https://publications.waset.org/abstracts/search?q=electrode" title=" electrode"> electrode</a>, <a href="https://publications.waset.org/abstracts/search?q=hearing%20preservation" title=" hearing preservation"> hearing preservation</a>, <a href="https://publications.waset.org/abstracts/search?q=insertion%20force" title=" insertion force"> insertion force</a>, <a href="https://publications.waset.org/abstracts/search?q=capacitive%20sensing" title=" capacitive sensing"> capacitive sensing</a> </p> <a href="https://publications.waset.org/abstracts/80147/an-automated-sensor-system-for-cochlear-implants-electrode-array-insertion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80147.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">238</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2598</span> Gan Nanowire-Based Sensor Array for the Detection of Cross-Sensitive Gases Using Principal Component Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ashfaque%20Hossain%20Khan">Ashfaque Hossain Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Brian%20Thomson"> Brian Thomson</a>, <a href="https://publications.waset.org/abstracts/search?q=Ratan%20Debnath"> Ratan Debnath</a>, <a href="https://publications.waset.org/abstracts/search?q=Abhishek%20Motayed"> Abhishek Motayed</a>, <a href="https://publications.waset.org/abstracts/search?q=Mulpuri%20V.%20Rao"> Mulpuri V. Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Though the efforts had been made, the problem of cross-sensitivity for a single metal oxide-based sensor can’t be fully eliminated. In this work, a sensor array has been designed and fabricated comprising of platinum (Pt), copper (Cu), and silver (Ag) decorated TiO2 and ZnO functionalized GaN nanowires using industry-standard top-down fabrication approach. The metal/metal-oxide combinations within the array have been determined from prior molecular simulation study using first principle calculations based on density functional theory (DFT). The gas responses were obtained for both single and mixture of NO2, SO2, ethanol, and H2 in the presence of H2O and O2 gases under UV light at room temperature. Each gas leaves a unique response footprint across the array sensors by which precise discrimination of cross-sensitive gases has been achieved. An unsupervised principal component analysis (PCA) technique has been implemented on the array response. Results indicate that each gas forms a distinct cluster in the score plot for all the target gases and their mixtures, indicating a clear separation among them. In addition, the developed array device consumes very low power because of ultra-violet (UV) assisted sensing as compared to commercially available metal-oxide sensors. The nanowire sensor array, in combination with PCA, is a potential approach for precise real-time gas monitoring applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-sensitivity" title="cross-sensitivity">cross-sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20sensor" title=" gas sensor"> gas sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=principle%20component%20analysis%20%28PCA%29" title=" principle component analysis (PCA)"> principle component analysis (PCA)</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20array" title=" sensor array"> sensor array</a> </p> <a href="https://publications.waset.org/abstracts/118468/gan-nanowire-based-sensor-array-for-the-detection-of-cross-sensitive-gases-using-principal-component-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118468.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">107</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2597</span> Cost-Effective Indoor-Air Quality (IAQ) Monitoring via Cavity Enhanced Photoacoustic Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jifang%20Tao">Jifang Tao</a>, <a href="https://publications.waset.org/abstracts/search?q=Fei%20Gao"> Fei Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Hong%20Cai"> Hong Cai</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Jin%20Zheng"> Yuan Jin Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Dong%20Gu"> Yuan Dong Gu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Photoacoustic technology is used to measure effect absorption of a light by means of acoustic detection, which provides a high sensitive, low-cross response, cost-effective solution for gas molecular detection. In this paper, we proposed an integrated photoacoustic sensor for Indoor-air quality (IAQ) monitoring. The sensor consists of an acoustically resonant cavity, a high silicon acoustic transducer chip, and a low-cost light source. The light is modulated at the resonant frequency of the cavity to create an enhanced periodic heating and result in an amplified acoustic pressure wave. The pressure is readout by a novel acoustic transducer with low noise. Based on this photoacoustic sensor, typical indoor gases, including CO2, CO, O2, and H2O have been successfully detected, and their concentration are also evaluated with very high accuracy. It has wide potential applications in IAQ monitoring for agriculture, food industry, and ventilation control systems used in public places, such as schools, hospitals and airports. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=indoor-air%20quality%20%28IAQ%29%20monitoring" title="indoor-air quality (IAQ) monitoring">indoor-air quality (IAQ) monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=photoacoustic%20gas%20sensor" title=" photoacoustic gas sensor"> photoacoustic gas sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=cavity%20enhancement" title=" cavity enhancement"> cavity enhancement</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20gas%20sensor" title=" integrated gas sensor"> integrated gas sensor</a> </p> <a href="https://publications.waset.org/abstracts/35061/cost-effective-indoor-air-quality-iaq-monitoring-via-cavity-enhanced-photoacoustic-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35061.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">658</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2596</span> Integrated Flavor Sensor Using Microbead Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ziba%20Omidi">Ziba Omidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Min-Ki%20Kim"> Min-Ki Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research presents the design, fabrication and application of a flavor sensor for an integrated electronic tongue and electronic nose that can allow rapid characterization of multi-component mixtures in a solution. The odor gas and liquid are separated using hydrophobic porous membrane in micro fluidic channel. The sensor uses an array composed of microbeads in micromachined cavities localized on silicon wafer. Sensing occurs via colorimetric and fluorescence changes to receptors and indicator molecules that are attached to termination sites on the polymeric microbeads. As a result, the sensor array system enables simultaneous and near-real-time analyses using small samples and reagent volumes with the capacity to incorporate significant redundancies. One of the key parts of the system is a passive pump driven only by capillary force. The hydrophilic surface of the fluidic structure draws the sample into the sensor array without any moving mechanical parts. Since there is no moving mechanical component in the structure, the size of the fluidic structure can be compact and the fabrication becomes simple when compared to the device including active microfluidic components. These factors should make the proposed system inexpensive to mass-produce, portable and compatible with biomedical applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optical%20sensor" title="optical sensor">optical sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=semiconductor%20manufacturing" title=" semiconductor manufacturing"> semiconductor manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=smell%20sensor" title=" smell sensor"> smell sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=taste%20sensor" title=" taste sensor"> taste sensor</a> </p> <a href="https://publications.waset.org/abstracts/11443/integrated-flavor-sensor-using-microbead-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11443.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">439</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2595</span> Modeling of Microelectromechanical Systems Diaphragm Based Acoustic Sensor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vasudha%20Hegde">Vasudha Hegde</a>, <a href="https://publications.waset.org/abstracts/search?q=Narendra%20Chaulagain"> Narendra Chaulagain</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20M.%20Ravikumar"> H. M. Ravikumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Sonu%20Mishra"> Sonu Mishra</a>, <a href="https://publications.waset.org/abstracts/search?q=Siva%20Yellampalli"> Siva Yellampalli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Acoustic sensors are extensively used in recent days not only for sensing and condition monitoring applications but also for small scale energy harvesting applications to power wireless sensor networks (WSN) due to their inherent advantages. The natural frequency of the structure plays a major role in energy harvesting applications since the sensor key element has to operate at resonant frequency. In this paper, circular diaphragm based MEMS acoustic sensor is modelled by Lumped Element Model (LEM) and the natural frequency is compared with the simulated model using Finite Element Method (FEM) tool COMSOL Multiphysics. The sensor has the circular diaphragm of 3000 µm radius and thickness of 30 µm to withstand the high SPL (Sound Pressure Level) and also to withstand the various fabrication steps. A Piezoelectric ZnO layer of thickness of 1 µm sandwiched between two aluminium electrodes of thickness 0.5 µm and is coated on the diaphragm. Further, a channel with radius 3000 µm radius and length 270 µm is connected at the bottom of the diaphragm. The natural frequency of the structure by LEM method is approximately 16.6 kHz which is closely matching with that of simulated structure with suitable approximations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20sensor" title="acoustic sensor">acoustic sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=diaphragm%20based" title=" diaphragm based"> diaphragm based</a>, <a href="https://publications.waset.org/abstracts/search?q=lumped%20element%20modeling%20%28LEM%29" title=" lumped element modeling (LEM)"> lumped element modeling (LEM)</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20frequency" title=" natural frequency"> natural frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=piezoelectric" title=" piezoelectric"> piezoelectric</a> </p> <a href="https://publications.waset.org/abstracts/87746/modeling-of-microelectromechanical-systems-diaphragm-based-acoustic-sensor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87746.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">442</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2594</span> Volatile Organic Compounds Detection by Surface Acoustic Wave Sensors with Nanoparticles Embedded in Polymer Sensitive Layers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cristian%20Viespe">Cristian Viespe</a>, <a href="https://publications.waset.org/abstracts/search?q=Dana%20Miu"> Dana Miu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Surface acoustic wave (SAW) sensors with nanoparticles (NPs) of various dimensions and concentrations embedded in different types of polymer sensing films for detecting volatile organic compounds (VOCs) were studied. The sensors were ‘delay line’ type with a center frequency of 69.4 MHz on ST-X quartz substrates. NPs with different diameters of 7 nm or 13 nm were obtained by laser ablation with lasers having 5 ns or 10 ps pulse durations, respectively. The influence of NPs dimensions and concentrations on sensor properties such as frequency shift, sensitivity, noise and response time were investigated. To the best of our knowledge, the influence of NP dimensions on SAW sensor properties with has not been investigated. The frequency shift and sensitivity increased with increasing NP concentration in the polymer for a given NP dimension and with decreasing NP diameter for a given concentration. The best performances were obtained for the smallest NPs used. The SAW sensor with NPs of 7 nm had a limit of detection (LOD) of 65 ppm (almost five times better than the sensor with polymer alone), and a response time of about 9 s for ethanol. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20acoustic%20wave%20sensor" title="surface acoustic wave sensor">surface acoustic wave sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=nanoparticles" title=" nanoparticles"> nanoparticles</a>, <a href="https://publications.waset.org/abstracts/search?q=volatile%20organic%20compounds" title=" volatile organic compounds"> volatile organic compounds</a>, <a href="https://publications.waset.org/abstracts/search?q=laser%20ablation" title=" laser ablation"> laser ablation</a> </p> <a href="https://publications.waset.org/abstracts/100929/volatile-organic-compounds-detection-by-surface-acoustic-wave-sensors-with-nanoparticles-embedded-in-polymer-sensitive-layers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100929.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2593</span> Noninvasive Disease Diagnosis through Breath Analysis Using DNA-functionalized SWNT Sensor Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=W.%20J.%20Zhang">W. J. Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Q.%20Du"> Y. Q. Du</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20L.%20Wang"> M. L. Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Noninvasive diagnostics of diseases via breath analysis has attracted considerable scientific and clinical interest for many years and become more and more promising with the rapid advancement in nanotechnology and biotechnology. The volatile organic compounds (VOCs) in exhaled breath, which are mainly blood borne, particularly provide highly valuable information about individuals’ physiological and pathophysiological conditions. Additionally, breath analysis is noninvasive, real-time, painless and agreeable to patients. We have developed a wireless sensor array based on single-stranded DNA (ssDNA)-decorated single-walled carbon nanotubes (SWNT) for the detection of a number of physiological indicators in breath. Eight DNA sequences were used to functionalize SWNT sensors to detect trace amount of methanol, benzene, dimethyl sulfide, hydrogen sulfide, acetone and ethanol, which are indicators of heavy smoking, excessive drinking, and diseases such as lung cancer, breast cancer, cirrhosis and diabetes. Our tests indicated that DNA functionalized SWNT sensors exhibit great selectivity, sensitivity, reproducibility, and repeatability. Furthermore, different molecules can be distinguished through pattern recognition enabled by this sensor array. Thus, the DNA-SWNT sensor array has great potential to be applied in chemical or bimolecular detection for the noninvasive diagnostics of diseases and health monitoring. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breath%20analysis" title="breath analysis">breath analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA-SWNT%20sensor%20array" title=" DNA-SWNT sensor array"> DNA-SWNT sensor array</a>, <a href="https://publications.waset.org/abstracts/search?q=noninvasive" title=" noninvasive"> noninvasive</a> </p> <a href="https://publications.waset.org/abstracts/36968/noninvasive-disease-diagnosis-through-breath-analysis-using-dna-functionalized-swnt-sensor-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36968.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">348</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2592</span> Acoustic Partial Discharge Propagation and Perfectly Matched Layer in Acoustic Detection-Transformer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nirav%20J.%20Patel">Nirav J. Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalpesh%20K.%20Dudani"> Kalpesh K. Dudani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Partial discharge (PD) is the dissipation of energy caused by localized breakdown of insulation. Power transformers are one of the most important components in the electrical energy network. Insulation degradation of transformer is frequently linked to PD. This is why PD detection is used in power system to monitor the health of high voltage transformer. If such problem are not detected and repaired, the strength and frequency of PD may increase and eventually lead to the catastrophic failure of the transformer. This can further cause external equipment damage, fires and loss of revenue due to an unscheduled outage. Hence, reliable online PD detection is a critical need for power companies to improve personnel safety and decrease the probability of loss of service. The PD phenomenon is manifested in a variety of physically observable signals including Ultra High Frequency (UHF) radiation and Acoustic Disturbances, Electrical pulses. Acoustic method is based on sensing the radiated acoustic emission from discharge sites in the insulation. Propagated wave from the PD fault site are captured sensor are consequently pre-amplified, filtered, recorded and analyze. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic" title="acoustic">acoustic</a>, <a href="https://publications.waset.org/abstracts/search?q=partial%20discharge" title=" partial discharge"> partial discharge</a>, <a href="https://publications.waset.org/abstracts/search?q=perfectly%20matched%20layer" title=" perfectly matched layer"> perfectly matched layer</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor "> sensor </a> </p> <a href="https://publications.waset.org/abstracts/28299/acoustic-partial-discharge-propagation-and-perfectly-matched-layer-in-acoustic-detection-transformer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28299.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">527</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2591</span> Study on Acoustic Source Detection Performance Improvement of Microphone Array Installed on Drones Using Blind Source Separation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Youngsun%20Moon">Youngsun Moon</a>, <a href="https://publications.waset.org/abstracts/search?q=Yeong-Ju%20Go"> Yeong-Ju Go</a>, <a href="https://publications.waset.org/abstracts/search?q=Jong-Soo%20Choi"> Jong-Soo Choi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most drones that currently have surveillance/reconnaissance missions are basically equipped with optical equipment, but we also need to use a microphone array to estimate the location of the acoustic source. This can provide additional information in the absence of optical equipment. The purpose of this study is to estimate Direction of Arrival (DOA) based on Time Difference of Arrival (TDOA) estimation of the acoustic source in the drone. The problem is that it is impossible to measure the clear target acoustic source because of the drone noise. To overcome this problem is to separate the drone noise and the target acoustic source using Blind Source Separation(BSS) based on Independent Component Analysis(ICA). ICA can be performed assuming that the drone noise and target acoustic source are independent and each signal has non-gaussianity. For maximized non-gaussianity each signal, we use Negentropy and Kurtosis based on probability theory. As a result, we can improve TDOA estimation and DOA estimation of the target source in the noisy environment. We simulated the performance of the DOA algorithm applying BSS algorithm, and demonstrated the simulation through experiment at the anechoic wind tunnel. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aeroacoustics" title="aeroacoustics">aeroacoustics</a>, <a href="https://publications.waset.org/abstracts/search?q=acoustic%20source%20detection" title=" acoustic source detection"> acoustic source detection</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20difference%20of%20arrival" title=" time difference of arrival"> time difference of arrival</a>, <a href="https://publications.waset.org/abstracts/search?q=direction%20of%20arrival" title=" direction of arrival"> direction of arrival</a>, <a href="https://publications.waset.org/abstracts/search?q=blind%20source%20separation" title=" blind source separation"> blind source separation</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20component%20analysis" title=" independent component analysis"> independent component analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=drone" title=" drone"> drone</a> </p> <a href="https://publications.waset.org/abstracts/94236/study-on-acoustic-source-detection-performance-improvement-of-microphone-array-installed-on-drones-using-blind-source-separation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94236.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2590</span> Crab Shell Waste Chitosan-Based Thin Film for Acoustic Sensor Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maydariana%20Ayuningtyas">Maydariana Ayuningtyas</a>, <a href="https://publications.waset.org/abstracts/search?q=Bambang%20Riyanto"> Bambang Riyanto</a>, <a href="https://publications.waset.org/abstracts/search?q=Akhiruddin%20Maddu"> Akhiruddin Maddu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Industrial waste of crustacean shells, such as shrimp and crab, has been considered as one of the major issues contributing to environmental pollution. The waste processing mechanisms to form new, practical substances with added value have been developed. Chitosan, a derived matter from chitin, which is obtained from crab and shrimp shells, performs prodigiously in broad range applications. A chitosan composite-based diaphragm is a new inspiration in fiber optic acoustic sensor advancement. Elastic modulus, dynamic response, and sensitivity to acoustic wave of chitosan-based composite film contribute great potentials of organic-based sound-detecting material. The objective of this research was to develop chitosan diaphragm application in fiber optic microphone system. The formulation was conducted by blending 5% polyvinyl alcohol (PVA) solution with dissolved chitosan at 0%, 1% and 2% in 1:1 ratio, respectively. Composite diaphragms were characterized for the morphological and mechanical properties to predict the desired acoustic sensor sensitivity. The composite with 2% chitosan indicated optimum performance with 242.55 µm thickness, 67.9% relative humidity, and 29-76% light transmittance. The Young’s modulus of 2%-chitosan composite material was 4.89×104 N/m2, which generated the voltage amplitude of 0.013V and performed sensitivity of 3.28 mV/Pa at 1 kHz. Based on the results above, chitosan from crustacean shell waste can be considered as a viable alternative material for fiber optic acoustic sensor sensing pad development. Further, the research in chitosan utilisation is proposed as novel optical microphone development in anthropogenic noise controlling effort for environmental and biodiversity conservation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20sensor" title="acoustic sensor">acoustic sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=chitosan" title=" chitosan"> chitosan</a>, <a href="https://publications.waset.org/abstracts/search?q=composite" title=" composite"> composite</a>, <a href="https://publications.waset.org/abstracts/search?q=crab%20shell" title=" crab shell"> crab shell</a>, <a href="https://publications.waset.org/abstracts/search?q=diaphragm" title=" diaphragm"> diaphragm</a>, <a href="https://publications.waset.org/abstracts/search?q=waste%20utilisation" title=" waste utilisation"> waste utilisation</a> </p> <a href="https://publications.waset.org/abstracts/71655/crab-shell-waste-chitosan-based-thin-film-for-acoustic-sensor-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71655.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2589</span> Development and Characterization of Acoustic Energy Harvesters for Low Power Wireless Sensor Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Waheed%20Gul">Waheed Gul</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Zeeshan"> Muhammad Zeeshan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Raza%20Khan"> Ahmad Raza Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Khurram"> Muhammad Khurram</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless Sensor Nodes (WSNs) have developed significantly over the years and have significant potential in diverse applications in the fields of science and technology. The inadequate energy accompanying WSNs is a key constraint of WSN skills. To overcome this main restraint, the development and expansion of effective and reliable energy harvesting systems for WSN atmospheres are being discovered. In this research, low-power acoustic energy harvesters are designed and developed by applying different techniques of energy transduction from the sound available in the surroundings. Three acoustic energy harvesters were developed based on the piezoelectric phenomenon, electromagnetic transduction, and hybrid, respectively. The CAD modelling, lumped modelling and Finite Element Analysis of the harvesters were carried out. The voltages were obtained using FEA for each Acoustic Harvester. Characterization of all three harvesters was carried out and the power generated by the piezoelectric harvester, electromagnetic harvester and Hybrid Acoustic Energy harvester are 2.25x10-9W, 0.0533W and 0.0232W, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20harvesting" title="energy harvesting">energy harvesting</a>, <a href="https://publications.waset.org/abstracts/search?q=WSNs" title=" WSNs"> WSNs</a>, <a href="https://publications.waset.org/abstracts/search?q=piezoelectric" title=" piezoelectric"> piezoelectric</a>, <a href="https://publications.waset.org/abstracts/search?q=electromagnetic" title=" electromagnetic"> electromagnetic</a>, <a href="https://publications.waset.org/abstracts/search?q=power" title=" power"> power</a> </p> <a href="https://publications.waset.org/abstracts/175720/development-and-characterization-of-acoustic-energy-harvesters-for-low-power-wireless-sensor-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175720.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">71</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2588</span> Fabrication of InGaAs P-I-N Micro-Photodiode Sensor Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jyun-Hao%20Liao">Jyun-Hao Liao</a>, <a href="https://publications.waset.org/abstracts/search?q=Chien-Ju%20Chen"> Chien-Ju Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Chia-Jui%20Yu"> Chia-Jui Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Meng%20Chyi%20Wu"> Meng Chyi Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chia-Ching%20Wu"> Chia-Ching Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this letter, we reported the fabrication of InGaAs micro-photodiode sensor array with the rapid thermal diffusion (RTD) technique. The spin-on dopant source Zn was used to form the p-type region in InP layer. Through the RTD technique, the InP/InGaAs heterostructure was formed. We improved our fabrication on the p-i-n photodiode to micro size which pixel is 7.8um, and the pitch is 12.8um. The proper SiNx was deposited to form the passivation layer. The leakage current of single pixel decrease to 3.3pA at -5V, and 35fA at -10mV. The leakage current densities of each voltage are 21uA/cm² at -5V and 0.223uA/cm² at -10mV. As we focus on the wavelength from 0.9um to 1.7um, the optimized Si/Al₂O₃ bilayers are deposited to form the AR-coating. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=InGaAs" title="InGaAs">InGaAs</a>, <a href="https://publications.waset.org/abstracts/search?q=micro%20sensor%20array" title=" micro sensor array"> micro sensor array</a>, <a href="https://publications.waset.org/abstracts/search?q=p-i-n%20photodiode" title=" p-i-n photodiode"> p-i-n photodiode</a>, <a href="https://publications.waset.org/abstracts/search?q=rapid%20thermal%20diffusion" title=" rapid thermal diffusion"> rapid thermal diffusion</a>, <a href="https://publications.waset.org/abstracts/search?q=Zn%20diffusion" title=" Zn diffusion"> Zn diffusion</a> </p> <a href="https://publications.waset.org/abstracts/73769/fabrication-of-ingaas-p-i-n-micro-photodiode-sensor-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73769.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">318</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2587</span> Influence of Scalable Energy-Related Sensor Parameters on Acoustic Localization Accuracy in Wireless Sensor Swarms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joyraj%20Chakraborty">Joyraj Chakraborty</a>, <a href="https://publications.waset.org/abstracts/search?q=Geoffrey%20Ottoy"> Geoffrey Ottoy</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Pierre%20Goemaere"> Jean-Pierre Goemaere</a>, <a href="https://publications.waset.org/abstracts/search?q=Lieven%20De%20Strycker"> Lieven De Strycker</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sensor swarms can be a cost-effectieve and more user-friendly alternative for location based service systems in different application like health-care. To increase the lifetime of such swarm networks, the energy consumption should be scaled to the required localization accuracy. In this paper we have investigated some parameter for energy model that couples localization accuracy to energy-related sensor parameters such as signal length,Bandwidth and sample frequency. The goal is to use the model for the localization of undetermined environmental sounds, by means of wireless acoustic sensors. we first give an overview of TDOA-based localization together with the primary sources of TDOA error (including reverberation effects, Noise). Then we show that in localization, the signal sample rate can be under the Nyquist frequency, provided that enough frequency components remain present in the undersampled signal. The resulting localization error is comparable with that of similar localization systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sensor%20swarms" title="sensor swarms">sensor swarms</a>, <a href="https://publications.waset.org/abstracts/search?q=localization" title=" localization"> localization</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20swarms" title=" wireless sensor swarms"> wireless sensor swarms</a>, <a href="https://publications.waset.org/abstracts/search?q=scalable%20energy" title=" scalable energy"> scalable energy</a> </p> <a href="https://publications.waset.org/abstracts/29900/influence-of-scalable-energy-related-sensor-parameters-on-acoustic-localization-accuracy-in-wireless-sensor-swarms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29900.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2586</span> Comparison of Direction of Arrival Estimation Method for Drone Based on Phased Microphone Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiwon%20Lee">Jiwon Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Yeong-Ju%20Go"> Yeong-Ju Go</a>, <a href="https://publications.waset.org/abstracts/search?q=Jong-Soo%20Choi"> Jong-Soo Choi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Drones were first developed for military use and were used in World War 1. But recently drones have been used in a variety of fields. Several companies actively utilize drone technology to strengthen their services, and in agriculture, drones are used for crop monitoring and sowing. Other people use drones for hobby activities such as photography. However, as the range of use of drones expands rapidly, problems caused by drones such as improperly flying, privacy and terrorism are also increasing. As the need for monitoring and tracking of drones increases, researches are progressing accordingly. The drone detection system estimates the position of the drone using the physical phenomena that occur when the drones fly. The drone detection system measures being developed utilize many approaches, such as radar, infrared camera, and acoustic detection systems. Among the various drone detection system, the acoustic detection system is advantageous in that the microphone array system is small, inexpensive, and easy to operate than other systems. In this paper, the acoustic signal is acquired by using minimum microphone when drone is flying, and direction of drone is estimated. When estimating the Direction of Arrival(DOA), there is a method of calculating the DOA based on the Time Difference of Arrival(TDOA) and a method of calculating the DOA based on the beamforming. The TDOA technique requires less number of microphones than the beamforming technique, but is weak in noisy environments and can only estimate the DOA of a single source. The beamforming technique requires more microphones than the TDOA technique. However, it is strong against the noisy environment and it is possible to simultaneously estimate the DOA of several drones. When estimating the DOA using acoustic signals emitted from the drone, it is impossible to measure the position of the drone, and only the direction can be estimated. To overcome this problem, in this work we show how to estimate the position of drones by arranging multiple microphone arrays. The microphone array used in the experiments was four tetrahedral microphones. We simulated the performance of each DOA algorithm and demonstrated the simulation results through experiments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20sensing" title="acoustic sensing">acoustic sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=direction%20of%20arrival" title=" direction of arrival"> direction of arrival</a>, <a href="https://publications.waset.org/abstracts/search?q=drone%20detection" title=" drone detection"> drone detection</a>, <a href="https://publications.waset.org/abstracts/search?q=microphone%20array" title=" microphone array"> microphone array</a> </p> <a href="https://publications.waset.org/abstracts/94230/comparison-of-direction-of-arrival-estimation-method-for-drone-based-on-phased-microphone-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94230.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2585</span> Near Field Focusing Behaviour of Airborne Ultrasonic Phased Arrays Influenced by Airflows</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Sun">D. Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20F.%20Lu"> T. F. Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Zander"> A. Zander</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Trinkle"> M. Trinkle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates the potential use of airborne ultrasonic phased arrays for imaging in outdoor environments as a means of overcoming the limitations experienced by kinect sensors, which may fail to work in the outdoor environments due to the oversaturation of the infrared photo diodes. Ultrasonic phased arrays have been well studied for static media, yet there appears to be no comparable examination in the literature of the impact of a flowing medium on the focusing behaviour of near field focused ultrasonic arrays. This paper presents a method for predicting the sound pressure fields produced by a single ultrasound element or an ultrasonic phased array influenced by airflows. The approach can be used to determine the actual focal point location of an array exposed in a known flow field. From the presented simulation results based upon this model, it can be concluded that uniform flows in the direction orthogonal to the acoustic propagation have a noticeable influence on the sound pressure field, which is reflected in the twisting of the steering angle of the array. Uniform flows in the same direction as the acoustic propagation have negligible influence on the array. For an array impacted by a turbulent flow, determining the location of the focused sound field becomes difficult due to the irregularity and continuously changing direction and the speed of the turbulent flow. In some circumstances, ultrasonic phased arrays impacted by turbulent flows may not be capable of producing a focused sound field. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=airborne" title="airborne">airborne</a>, <a href="https://publications.waset.org/abstracts/search?q=airflow" title=" airflow"> airflow</a>, <a href="https://publications.waset.org/abstracts/search?q=focused%20sound%20field" title=" focused sound field"> focused sound field</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasonic%20phased%20array" title=" ultrasonic phased array"> ultrasonic phased array</a> </p> <a href="https://publications.waset.org/abstracts/42051/near-field-focusing-behaviour-of-airborne-ultrasonic-phased-arrays-influenced-by-airflows" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42051.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2584</span> Assessment of High Frequency Solidly Mounted Resonator as Viscosity Sensor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vinita%20Choudhary">Vinita Choudhary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Solidly Acoustic Resonators (SMR) based on ZnO piezoelectric material operating at a frequency of 3.96 GHz and 6.49% coupling factor are used to characterize liquids with different viscosities. This behavior of the sensor is analyzed using Finite Element Modeling. Device architectures encapsulate bulk acoustic wave resonators with MO/SiO₂ Bragg mirror reflector and the silicon substrate. The proposed SMR is based on the mass loading effect response of the sensor to the change in the resonant frequency of the resonator that is caused by the increased density due to the absorption of liquids (water, acetone, olive oil) used in theoretical calculation. The sensitivity of sensors ranges from 0.238 MHz/mPa.s to 83.33 MHz/mPa.s, supported by the Kanazawa model. Obtained results are also compared with previous works on BAW viscosity sensors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solidly%20mounted%20resonator" title="solidly mounted resonator">solidly mounted resonator</a>, <a href="https://publications.waset.org/abstracts/search?q=bragg%20mirror" title=" bragg mirror"> bragg mirror</a>, <a href="https://publications.waset.org/abstracts/search?q=kanazawa%20model" title=" kanazawa model"> kanazawa model</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20model" title=" finite element model"> finite element model</a> </p> <a href="https://publications.waset.org/abstracts/164284/assessment-of-high-frequency-solidly-mounted-resonator-as-viscosity-sensor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164284.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2583</span> The Condition Testing of Damaged Plates Using Acoustic Features and Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyle%20Saltmarsh">Kyle Saltmarsh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Acoustic testing possesses many benefits due to its non-destructive nature and practicality. There hence exists many scenarios in which using acoustic testing for condition testing shows powerful feasibility. A wealth of information is contained within the acoustic and vibration characteristics of structures, allowing the development meaningful features for the classification of their respective condition. In this paper, methods, results, and discussions are presented on the use of non-destructive acoustic testing coupled with acoustic feature extraction and machine learning techniques for the condition testing of manufactured circular steel plates subjected to varied levels of damage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=plates" title="plates">plates</a>, <a href="https://publications.waset.org/abstracts/search?q=deformation" title=" deformation"> deformation</a>, <a href="https://publications.waset.org/abstracts/search?q=acoustic%20features" title=" acoustic features"> acoustic features</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/76911/the-condition-testing-of-damaged-plates-using-acoustic-features-and-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76911.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">337</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2582</span> Multilayer Ceramic Capacitors: Based Force Sensor Array for Occlusal Force Measurement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sheng-Che%20Chen">Sheng-Che Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Keng-Ren%20Lin"> Keng-Ren Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Che-Hsin%20Lin"> Che-Hsin Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Hao-Yuan%20Tseng"> Hao-Yuan Tseng</a>, <a href="https://publications.waset.org/abstracts/search?q=Chih-Han%20Chang"> Chih-Han Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Teeth play an important role in providing the essential nutrients. The force loading of chewing on the crow is important condition to evaluate long-term success of many dental treatments. However, the quantification of the force regarding forces are distributed over the dental crow is still not well recognized. This study presents an industrial-grade piezoelectric-based multilayer ceramic capacitors (MLCCs) force sensor for measuring the distribution of the force distribute over the first molar. The developed sensor array is based on a flexible polyimide electrode and barium titanate-based MLCCs. MLCCs are commonly used in the electronic industry and it is a typical electric component composed of BaTiO₃, which is used as a capacitive material. The most important is that it also can be used as a force-sensing component by its piezoelectric property. In this study, to increase the sensitivity as well as to reduce the variation of different MLCCs, a treatment process is utilized. The MLCC force sensors are able to measure large forces (above 500 N), making them suitable for measuring the bite forces on the tooth crown. Moreover, the sensors also show good force response and good repeatability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=force%20sensor%20array" title="force sensor array">force sensor array</a>, <a href="https://publications.waset.org/abstracts/search?q=multilayer%20ceramic%20capacitors" title=" multilayer ceramic capacitors"> multilayer ceramic capacitors</a>, <a href="https://publications.waset.org/abstracts/search?q=occlusal%20force" title=" occlusal force"> occlusal force</a>, <a href="https://publications.waset.org/abstracts/search?q=piezoelectric" title=" piezoelectric"> piezoelectric</a> </p> <a href="https://publications.waset.org/abstracts/45572/multilayer-ceramic-capacitors-based-force-sensor-array-for-occlusal-force-measurement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45572.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">411</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2581</span> Discrimination of Bio-Analytes by Using Two-Dimensional Nano Sensor Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Behera">P. Behera</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20K.%20Singh"> K. K. Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20K.%20Saini"> D. K. Saini</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20De"> M. De</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Implementation of 2D materials in the detection of bio analytes is highly advantageous in the field of sensing because of its high surface to volume ratio. We have designed our sensor array with different cationic two-dimensional MoS₂, where surface modification was achieved by cationic thiol ligands with different functionality. Green fluorescent protein (GFP) was chosen as signal transducers for its biocompatibility and anionic nature, which can bind to the cationic MoS₂ surface easily, followed by fluorescence quenching. The addition of bio-analyte to the sensor can decomplex the cationic MoS₂ and GFP conjugates, followed by the regeneration of GFP fluorescence. The fluorescence response pattern belongs to various analytes collected and transformed to linear discriminant analysis (LDA) for classification. At first, 15 different proteins having wide range of molecular weight and isoelectric points were successfully discriminated at 50 nM with detection limit of 1 nM. The sensor system was also executed in biofluids such as serum, where 10 different proteins at 2.5 μM were well separated. After successful discrimination of protein analytes, the sensor array was implemented for bacteria sensing. Six different bacteria were successfully classified at OD = 0.05 with a detection limit corresponding to OD = 0.005. The optimized sensor array was able to classify uropathogens from non-uropathogens in urine medium. Further, the technique was applied for discrimination of bacteria possessing resistance to different types and amounts of drugs. We found out the mechanism of sensing through optical and electrodynamic studies, which indicates the interaction between bacteria with the sensor system was mainly due to electrostatic force of interactions, but the separation of native bacteria from their drug resistant variant was due to Van der Waals forces. There are two ways bacteria can be detected, i.e., through bacterial cells and lysates. The bacterial lysates contain intracellular information and also safe to analysis as it does not contain live cells. Lysates of different drug resistant bacteria were patterned effectively from the native strain. From unknown sample analysis, we found that discrimination of bacterial cells is more sensitive than that of lysates. But the analyst can prefer bacterial lysates over live cells for safer analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=array-based%20sensing" title="array-based sensing">array-based sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20resistant%20bacteria" title=" drug resistant bacteria"> drug resistant bacteria</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20discriminant%20analysis" title=" linear discriminant analysis"> linear discriminant analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=two-dimensional%20MoS%E2%82%82" title=" two-dimensional MoS₂"> two-dimensional MoS₂</a> </p> <a href="https://publications.waset.org/abstracts/133539/discrimination-of-bio-analytes-by-using-two-dimensional-nano-sensor-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133539.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2580</span> A Secure Routing Algorithm for ‎Underwater Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mahdi%20Jameii">Seyed Mahdi Jameii</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Underwater wireless sensor networks have been attracting the interest of many ‎researchers lately, and the past three decades have beheld the rapid progress of ‎underwater acoustic communication. One of the major problems in underwater wireless ‎sensor networks is how to transfer data from the moving node to the base stations and ‎choose the optimized route for data transmission. Secure routing in underwater ‎wireless sensor network (UWCNs) is necessary for packet delivery. Some routing ‎protocols are proposed for underwater wireless sensor networks. However, a few ‎researches have been done on secure routing in underwater sensor networks. In this ‎article, a secure routing protocol is provided to resist against wormhole and sybil ‎attacks. The results indicated acceptable performance in terms of increasing the packet ‎delivery ratio with regards to the attacks, increasing network lifetime by creating ‎balance in the network energy consumption, high detection rates against the attacks, ‎and low-end to end delay.‎ <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attacks" title="attacks">attacks</a>, <a href="https://publications.waset.org/abstracts/search?q=routing" title=" routing"> routing</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=underwater%20wireless%20sensor%20networks" title=" underwater wireless sensor networks"> underwater wireless sensor networks</a> </p> <a href="https://publications.waset.org/abstracts/70929/a-secure-routing-algorithm-for-underwater-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70929.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">418</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2579</span> Faulty Sensors Detection in Planar Array Antenna Using Pelican Optimization Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shafqat%20Ullah%20Khan">Shafqat Ullah Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Nasir"> Ammar Nasir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Using planar antenna array (PAA) in radars, Broadcasting, satellite antennas, and sonar for the detection of targets, Helps provide instant beam pattern control. High flexibility and Adaptability are achieved by multiple beam steering by using a Planar array and are particularly needed in real-life Sanrio’s where the need arises for several high-directivity beams. Faulty sensors in planar arrays generate asymmetry, which leads to service degradation, radiation pattern distortion, and increased levels of sidelobe. The POA, a nature-inspired optimization algorithm, accurately determines faulty sensors within an array, enhancing the reliability and performance of planar array antennas through extensive simulations and experiments. The analysis was done for different types of faults in 7 x 7 and 8 x 8 planar arrays in MATLAB. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Planar%20antenna%20array" title="Planar antenna array">Planar antenna array</a>, <a href="https://publications.waset.org/abstracts/search?q=" title=""></a>, <a href="https://publications.waset.org/abstracts/search?q=Pelican%20optimisation%20Algorithm" title=" Pelican optimisation Algorithm"> Pelican optimisation Algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=" title=""></a>, <a href="https://publications.waset.org/abstracts/search?q=Faculty%20sensor" title=" Faculty sensor"> Faculty sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=Antenna%20arrays" title=" Antenna arrays"> Antenna arrays</a> </p> <a href="https://publications.waset.org/abstracts/186381/faulty-sensors-detection-in-planar-array-antenna-using-pelican-optimization-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186381.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">81</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2578</span> Particle Size Distribution Estimation of a Mixture of Regular and Irregular Sized Particles Using Acoustic Emissions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ejay%20Nsugbe">Ejay Nsugbe</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Starr"> Andrew Starr</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20Jennions"> Ian Jennions</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristobal%20Ruiz-Carcel"> Cristobal Ruiz-Carcel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This works investigates the possibility of using Acoustic Emissions (AE) to estimate the Particle Size Distribution (PSD) of a mixture of particles that comprise of particles of different densities and geometry. The experiments carried out involved the mixture of a set of glass and polyethylene particles that ranged from 150-212 microns and 150-250 microns respectively and an experimental rig that allowed the free fall of a continuous stream of particles on a target plate which the AE sensor was placed. By using a time domain based multiple threshold method, it was observed that the PSD of the particles in the mixture could be estimated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20emissions" title="acoustic emissions">acoustic emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20sizing" title=" particle sizing"> particle sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20monitoring" title=" process monitoring"> process monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a> </p> <a href="https://publications.waset.org/abstracts/68042/particle-size-distribution-estimation-of-a-mixture-of-regular-and-irregular-sized-particles-using-acoustic-emissions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68042.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">353</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2577</span> Concrete-Wall-Climbing Testing Robot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Tokuomi">S. Tokuomi</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Mori"> K. Mori</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Tsuruzono"> Y. Tsuruzono</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A concrete-wall-climbing testing robot, has been developed. This robot adheres and climbs concrete walls using two sets of suction cups, as well as being able to rotate by the use of the alternating motion of the suction cups. The maximum climbing speed is about 60 cm/min. Each suction cup has a pressure sensor, which monitors the adhesion of each suction cup. The impact acoustic method is used in testing concrete walls. This robot has an impact acoustic device and four microphones for the acquisition of the impact sound. The effectiveness of the impact acoustic system was tested by applying it to an inspection of specimens with artificial circular void defects. A circular void defect with a diameter of 200 mm at a depth of 50 mm was able to be detected. The weight and the dimensions of the robot are about 17 kg and 1.0 m by 1.3 m, respectively. The upper limit of testing is about 10 m above the ground due to the length of the power cable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=concrete%20wall" title="concrete wall">concrete wall</a>, <a href="https://publications.waset.org/abstracts/search?q=nondestructive%20testing" title=" nondestructive testing"> nondestructive testing</a>, <a href="https://publications.waset.org/abstracts/search?q=climbing%20robot" title=" climbing robot"> climbing robot</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20acoustic%20method" title=" impact acoustic method"> impact acoustic method</a> </p> <a href="https://publications.waset.org/abstracts/20598/concrete-wall-climbing-testing-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">661</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2576</span> Embedded Hw-Sw Reconfigurable Techniques For Wireless Sensor Network Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Kirubakaran">B. Kirubakaran</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Rajasekaran"> C. Rajasekaran </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reconfigurable techniques are used in many engineering and industrial applications for the efficient data transmissions through the wireless sensor networks. Nowadays most of the industrial applications are work for try to minimize the size and cost. During runtime the reconfigurable technique avoid the unwanted hang and delay in the system performance. In recent world Field Programmable Gate Array (FPGA) as one of the most efficient reconfigurable device and widely used for most of the hardware and software reconfiguration applications. In this paper, the work deals with whatever going to make changes in the hardware and software during runtime it’s should not affect the current running process that’s the main objective of the paper our changes be done in a parallel manner at the same time concentrating the cost and power transmission problems during data trans-receiving. Analog sensor (Temperature) as an input for the controller (PIC) through that control the FPGA digital sensors in generalized manner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=field%20programmable%20gate%20array" title="field programmable gate array">field programmable gate array</a>, <a href="https://publications.waset.org/abstracts/search?q=peripheral%20interrupt%20controller" title=" peripheral interrupt controller"> peripheral interrupt controller</a>, <a href="https://publications.waset.org/abstracts/search?q=runtime%20reconfigurable%20techniques" title=" runtime reconfigurable techniques"> runtime reconfigurable techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks" title=" wireless sensor networks"> wireless sensor networks</a> </p> <a href="https://publications.waset.org/abstracts/5897/embedded-hw-sw-reconfigurable-techniques-for-wireless-sensor-network-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5897.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">407</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2575</span> A High-Resolution Refractive Index Sensor Based on a Magnetic Photonic Crystal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ti-An%20Tsai">Ti-An Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Chun-Chih%20Wang"> Chun-Chih Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hung-Wen%20Wang"> Hung-Wen Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=I-Ling%20Chang"> I-Ling Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Lien-Wen%20Chen"> Lien-Wen Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we demonstrate a high-resolution refractive index sensor based on a magnetic photonic crystal (MPC) composed of a triangular lattice array of air holes embedded in Si matrix. A microcavity is created by changing the radius of an air hole in the middle of the photonic crystal. The cavity filled with gyrotropic materials can serve as a refractive index sensor. The shift of the resonant frequency of the sensor is obtained numerically using finite difference time domain method under different ambient conditions having refractive index from n = 1.0 to n = 1.1. The numerical results show that a tiny change in refractive index of Δn = 0.0001 is distinguishable. In addition, the spectral response of the MPC sensor is studied while an external magnetic field is present. The results show that the MPC sensor exhibits a dramatic improvement in resolution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=magnetic%20photonic%20crystal" title="magnetic photonic crystal">magnetic photonic crystal</a>, <a href="https://publications.waset.org/abstracts/search?q=refractive%20index%20sensor" title=" refractive index sensor"> refractive index sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity" title=" sensitivity"> sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=high-resolution" title=" high-resolution"> high-resolution</a> </p> <a href="https://publications.waset.org/abstracts/26102/a-high-resolution-refractive-index-sensor-based-on-a-magnetic-photonic-crystal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26102.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">591</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2574</span> Breast Cancer Sensing and Imaging Utilized Printed Ultra Wide Band Spherical Sensor Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elyas%20Palantei">Elyas Palantei</a>, <a href="https://publications.waset.org/abstracts/search?q=Dewiani"> Dewiani</a>, <a href="https://publications.waset.org/abstracts/search?q=Farid%20Armin"> Farid Armin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ardiansyah"> Ardiansyah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High precision of printed microwave sensor utilized for sensing and monitoring the potential breast cancer existed in women breast tissue was optimally computed. The single element of UWB printed sensor that successfully modeled through several numerical optimizations was multiple fabricated and incorporated with woman bra to form the spherical sensors array. One sample of UWB microwave sensor obtained through the numerical computation and optimization was chosen to be fabricated. In overall, the spherical sensors array consists of twelve stair patch structures, and each element was individually measured to characterize its electrical properties, especially the return loss parameter. The comparison of S11 profiles of all UWB sensor elements is discussed. The constructed UWB sensor is well verified using HFSS programming, CST programming, and experimental measurement. Numerically, both HFSS and CST confirmed the potential operation bandwidth of UWB sensor is more or less 4.5 GHz. However, the measured bandwidth provided is about 1.2 GHz due to the technical difficulties existed during the manufacturing step. The configuration of UWB microwave sensing and monitoring system implemented consists of 12 element UWB printed sensors, vector network analyzer (VNA) to perform as the transceiver and signal processing part, the PC Desktop/Laptop acting as the image processing and displaying unit. In practice, all the reflected power collected from whole surface of artificial breast model are grouped into several numbers of pixel color classes positioned on the corresponding row and column (pixel number). The total number of power pixels applied in 2D-imaging process was specified to 100 pixels (or the power distribution pixels dimension 10x10). This was determined by considering the total area of breast phantom of average Asian women breast size and synchronizing with the single UWB sensor physical dimension. The interesting microwave imaging results were plotted and together with some technical problems arisen on developing the breast sensing and monitoring system are examined in the paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=UWB%20sensor" title="UWB sensor">UWB sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=UWB%20microwave%20imaging" title=" UWB microwave imaging"> UWB microwave imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=spherical%20array" title=" spherical array"> spherical array</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer%20monitoring" title=" breast cancer monitoring"> breast cancer monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=2D-medical%20imaging" title=" 2D-medical imaging"> 2D-medical imaging</a> </p> <a href="https://publications.waset.org/abstracts/77750/breast-cancer-sensing-and-imaging-utilized-printed-ultra-wide-band-spherical-sensor-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77750.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">195</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2573</span> Distributed Acoustic Sensing Signal Model under Static Fiber Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20Punithavathy">G. Punithavathy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research proposes a statistical model for the distributed acoustic sensor interrogation units that broadcast a laser pulse into the fiber optics, where interactions within the fiber determine the localized acoustic energy that causes light reflections known as backscatter. The backscattered signal's amplitude and phase can be calculated using explicit equations. The created model makes amplitude signal spectrum and autocorrelation predictions that are confirmed by experimental findings. Phase signal characteristics that are useful for researching optical time domain reflectometry (OTDR) system sensing applications are provided and examined, showing good agreement with the experiment. The experiment was successfully done with the use of Python coding. In this research, we can analyze the entire distributed acoustic sensing (DAS) component parts separately. This model assumes that the fiber is in a static condition, meaning that there is no external force or vibration applied to the cable, that means no external acoustic disturbances present. The backscattered signal consists of a random noise component, which is caused by the intrinsic imperfections of the fiber, and a coherent component, which is due to the laser pulse interacting with the fiber. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20acoustic%20sensing" title="distributed acoustic sensing">distributed acoustic sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20fiber%20devices" title=" optical fiber devices"> optical fiber devices</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20time%20domain%20reflectometry" title=" optical time domain reflectometry"> optical time domain reflectometry</a>, <a href="https://publications.waset.org/abstracts/search?q=Rayleigh%20scattering" title=" Rayleigh scattering"> Rayleigh scattering</a> </p> <a href="https://publications.waset.org/abstracts/170787/distributed-acoustic-sensing-signal-model-under-static-fiber-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170787.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2572</span> Terahertz Glucose Sensors Based on Photonic Crystal Pillar Array</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20S.%20Sree%20Sanker">S. S. Sree Sanker</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20N.%20Madhusoodanan"> K. N. Madhusoodanan </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Optical biosensors are dominant alternative for traditional analytical methods, because of their small size, simple design and high sensitivity. Photonic sensing method is one of the recent advancing technology for biosensors. It measures the change in refractive index which is induced by the difference in molecular interactions due to the change in concentration of the analyte. Glucose is an aldosic monosaccharide, which is a metabolic source in many of the organisms. The terahertz waves occupies the space between infrared and microwaves in the electromagnetic spectrum. Terahertz waves are expected to be applied to various types of sensors for detecting harmful substances in blood, cancer cells in skin and micro bacteria in vegetables. We have designed glucose sensors using silicon based 1D and 2D photonic crystal pillar arrays in terahertz frequency range. 1D photonic crystal has rectangular pillars with height 100 µm, length 1600 µm and width 50 µm. The array period of the crystal is 500 µm. 2D photonic crystal has 5×5 cylindrical pillar array with an array period of 75 µm. Height and diameter of the pillar array are 160 µm and 100 µm respectively. Two samples considered in the work are blood and glucose solution, which are labelled as sample 1 and sample 2 respectively. The proposed sensor detects the concentration of glucose in the samples from 0 to 100 mg/dL. For this, the crystal was irradiated with 0.3 to 3 THz waves. By analyzing the obtained S parameter, the refractive index of the crystal corresponding to the particular concentration of glucose was measured using the parameter retrieval method. Refractive indices of the two crystals decreased gradually with the increase in concentration of glucose in the sample. For 1D photonic crystals, a gradual decrease in refractive index was observed at 1 THz. 2D photonic crystal showed this behavior at 2 THz. The proposed sensor was simulated using CST Microwave studio. This will enable us to develop a model which can be used to characterize a glucose sensor. The present study is expected to contribute to blood glucose monitoring. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CST%20microwave%20studio" title="CST microwave studio">CST microwave studio</a>, <a href="https://publications.waset.org/abstracts/search?q=glucose%20sensor" title=" glucose sensor"> glucose sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=photonic%20crystal" title=" photonic crystal"> photonic crystal</a>, <a href="https://publications.waset.org/abstracts/search?q=terahertz%20waves" title=" terahertz waves"> terahertz waves</a> </p> <a href="https://publications.waset.org/abstracts/82728/terahertz-glucose-sensors-based-on-photonic-crystal-pillar-array" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82728.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads 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