CINXE.COM

Search results for: depth sensing

<!DOCTYPE html> <html lang="en" dir="ltr"> <head> <!-- Google tag (gtag.js) --> <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script> <!-- Yandex.Metrika counter --> <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Search results for: depth sensing</title> <meta name="description" content="Search results for: depth sensing"> <meta name="keywords" content="depth sensing"> <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 d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="depth sensing" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" 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="depth sensing"> <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> 4359</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: depth sensing</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4359</span> Capacity Optimization in Cooperative Cognitive Radio Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahdi%20Pirmoradian">Mahdi Pirmoradian</a>, <a href="https://publications.waset.org/abstracts/search?q=Olayinka%20Adigun"> Olayinka Adigun</a>, <a href="https://publications.waset.org/abstracts/search?q=Christos%20Politis"> Christos Politis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cooperative spectrum sensing is a crucial challenge in cognitive radio networks. Cooperative sensing can increase the reliability of spectrum hole detection, optimize sensing time and reduce delay in cooperative networks. In this paper, an efficient central capacity optimization algorithm is proposed to minimize cooperative sensing time in a homogenous sensor network using OR decision rule subject to the detection and false alarm probabilities constraints. The evaluation results reveal significant improvement in the sensing time and normalized capacity of the cognitive sensors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cooperative%20networks" title="cooperative networks">cooperative networks</a>, <a href="https://publications.waset.org/abstracts/search?q=normalized%20capacity" title=" normalized capacity"> normalized capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=sensing%20time" title=" sensing time"> sensing time</a> </p> <a href="https://publications.waset.org/abstracts/25670/capacity-optimization-in-cooperative-cognitive-radio-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25670.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">634</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">4358</span> Doped and Co-doped ZnO Based Nanoparticles and their Photocatalytic and Gas Sensing Property</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neha%20Verma">Neha Verma</a>, <a href="https://publications.waset.org/abstracts/search?q=Manik%20Rakhra"> Manik Rakhra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Statement of the Problem: Nowadays, a tremendous increase in population and advanced industrialization augment the problems related to air and water pollutions. Growing industries promoting environmental danger, which is an alarming threat to the ecosystem. For safeguard, the environment, detection of perilous gases and release of colored wastewater is required for eutrophication pollution. Researchers around the globe are trying their best efforts to save the environment. For this remediation advanced oxidation process is used for potential applications. ZnO is an important semiconductor photocatalyst with high photocatalytic and gas sensing activities. For efficient photocatalytic and gas sensing properties, it is necessary to prepare a doped/co-doped ZnO compound to decrease the electron-hole recombination rates. However, lanthanide doped and co-doped metal oxide is seldom studied for photocatalytic and gas sensing applications. The purpose of this study is to describe the best photocatalyst for the photodegradation of dyes and gas sensing properties. Methodology & Theoretical Orientation: Economical framework has to be used for the synthesis of ZnO. In the depth literature survey, a simple combustion method is utilized for gas sensing and photocatalytic activities. Findings: Rare earth doped and co-doped ZnO nanoparticles were the best photocatalysts for photodegradation of organic dyes and different gas sensing applications by varying various factors such as pH, aging time, and different concentrations of doping and codoping metals in ZnO. Complete degradation of dye was observed only in min. Gas sensing nanodevice showed a better response and quick recovery time for doped/co-doped ZnO. Conclusion & Significance: In order to prevent air and water pollution, well crystalline ZnO nanoparticles were synthesized by rapid and economic method, which is used as photocatalyst for photodegradation of organic dyes and gas sensing applications to sense the release of hazardous gases from the environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ZnO" title="ZnO">ZnO</a>, <a href="https://publications.waset.org/abstracts/search?q=photocatalyst" title=" photocatalyst"> photocatalyst</a>, <a href="https://publications.waset.org/abstracts/search?q=photodegradation%20of%20dye" title=" photodegradation of dye"> photodegradation of dye</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20sensor" title=" gas sensor"> gas sensor</a> </p> <a href="https://publications.waset.org/abstracts/142117/doped-and-co-doped-zno-based-nanoparticles-and-their-photocatalytic-and-gas-sensing-property" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142117.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">155</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">4357</span> Effect of Using a Mixture of Al2O3 Nanoparticles and 3-Aminopropyltriethoxysilane as the Sensing Membrane for Polysilicon Wire on pH Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=You-Lin%20Wu">You-Lin Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Zong-Xian%20Wu"> Zong-Xian Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing-Jenn%20Lin"> Jing-Jenn Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Shih-Hung%20Lin"> Shih-Hung Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, a polysilicon wire (PSW) coated with a mixture of 3-aminopropyltriethoxysilane (r-APTES) and Al2O3 nanoparticles as the sensing membrane prepared with various Al2O3/r-APTES and dispersing agent/r-APTES ratios for pH sensing is studied. The r-APTES and dispersed Al2O3 nanoparticles mixture was directly transferred to PSW surface by solution phase deposition (SPD). It is found that using a mixture of Al2O3 nanoparticles and r-APTES as the sensing membrane help in improving the pH sensing of the PSW sensor and a 5 min SPD deposition time is the best. Dispersing agent is found to be necessary for better pH sensing when preparing the mixture of Al2O3 nanoparticles and r-APTES. The optimum condition for preparing the mixture is found to be Al2O3/r-APTES ratio of 2% and dispersing agent/r-APTES ratio of 0.3%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=al2o3%20nanoparticles" title="al2o3 nanoparticles">al2o3 nanoparticles</a>, <a href="https://publications.waset.org/abstracts/search?q=ph%20sensing" title=" ph sensing"> ph sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=polysilicon%20wire%20sensor" title=" polysilicon wire sensor"> polysilicon wire sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=r-aptes" title=" r-aptes"> r-aptes</a> </p> <a href="https://publications.waset.org/abstracts/31242/effect-of-using-a-mixture-of-al2o3-nanoparticles-and-3-aminopropyltriethoxysilane-as-the-sensing-membrane-for-polysilicon-wire-on-ph-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31242.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">414</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">4356</span> Remote Sensing Reversion of Water Depths and Water Management for Waterbird Habitats: A Case Study on the Stopover Site of Siberian Cranes at Momoge, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chunyue%20Liu">Chunyue Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongxing%20Jiang"> Hongxing Jiang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traditional water depth survey of wetland habitats used by waterbirds needs intensive labor, time and money. The optical remote sensing image relies on passive multispectral scanner data has been widely employed to study estimate water depth. This paper presents an innovative method for developing the water depth model based on the characteristics of visible and thermal infrared spectra of Landsat ETM+ image, combing with 441 field water depth data at Etoupao shallow wetland. The wetland is located at Momoge National Nature Reserve of Northeast China, where the largest stopover habitat along the eastern flyway of globally, critically-endangered Siberian Cranes are. The cranes mainly feed on the tubers of emergent aquatic plants such as Scirpus planiculmis and S. nipponicus. The effective water control is a critical step for maintaining the production of tubers and food availability for this crane. The model employing multi-band approach can effectively simulate water depth for this shallow wetland. The model parameters of NDVI and GREEN indicated the vegetation growth and coverage affecting the reflectance from water column change are uneven. Combining with the field-observed water level at the same date of image acquisition, the digital elevation model (DEM) for the underwater terrain was generated. The wetland area and water volume of different water levels were then calculated from the DEM using the function of Area and Volume Statistics under the 3D Analyst of ArcGIS 10.0. The findings provide good references to effectively monitor changes in water level and water demand, develop practical plan for water level regulation and water management, and to create best foraging habitats for the cranes. The methods here can be adopted for the bottom topography simulation and water management in waterbirds’ habitats, especially in the shallow wetlands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20depth%20reversion" title=" water depth reversion"> water depth reversion</a>, <a href="https://publications.waset.org/abstracts/search?q=shallow%20wetland%20habitat%20management" title=" shallow wetland habitat management"> shallow wetland habitat management</a>, <a href="https://publications.waset.org/abstracts/search?q=siberian%20crane" title=" siberian crane"> siberian crane</a> </p> <a href="https://publications.waset.org/abstracts/71696/remote-sensing-reversion-of-water-depths-and-water-management-for-waterbird-habitats-a-case-study-on-the-stopover-site-of-siberian-cranes-at-momoge-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71696.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">253</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">4355</span> Reliability Factors Based Fuzzy Logic Scheme for Spectrum Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tallataf%20Rasheed">Tallataf Rasheed</a>, <a href="https://publications.waset.org/abstracts/search?q=Adnan%20Rashdi"> Adnan Rashdi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Naeem%20Akhtar"> Ahmad Naeem Akhtar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The accurate spectrum sensing is a fundamental requirement of dynamic spectrum access for deployment of Cognitive Radio Network (CRN). To acheive this requirement a Reliability factors based Fuzzy Logic (RFL) Scheme for Spectrum Sensing has been proposed in this paper. Cognitive Radio User (CRU) predicts the presence or absence of Primary User (PU) using energy detector and calculates the Reliability factors which are SNR of sensing node, threshold of energy detector and decision difference of each node with other nodes in a cooperative spectrum sensing environment. Then the decision of energy detector is combined with Reliability factors of sensing node using Fuzzy Logic. These Reliability Factors used in RFL Scheme describes the reliability of decision made by a CRU to improve the local spectrum sensing. This Fuzzy combining scheme provides the accuracy of decision made by sensornode. The simulation results have shown that the proposed technique provide better PU detection probability than existing Spectrum Sensing Techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20radio" title="cognitive radio">cognitive radio</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrum%20sensing" title=" spectrum sensing"> spectrum sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20detector" title=" energy detector"> energy detector</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20factors" title=" reliability factors"> reliability factors</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a> </p> <a href="https://publications.waset.org/abstracts/77586/reliability-factors-based-fuzzy-logic-scheme-for-spectrum-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77586.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">486</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">4354</span> Retrieval of Aerosol Optical Depth and Correlation Analysis of PM2.5 Based on GF-1 Wide Field of View Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bo%20Wang">Bo Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a method that can estimate PM2.5 by the images of GF-1 Satellite that called WFOV images (Wide Field of View). AOD (Aerosol Optical Depth) over land surfaces was retrieved in Shanghai area based on DDV (Dark Dense Vegetation) method. PM2.5 information, gathered from ground monitoring stations hourly, was fitted with AOD using different polynomial coefficients, and then the correlation coefficient between them was calculated. The results showed that, the GF-1 WFOV images can meet the requirement of retrieving AOD, and the correlation coefficient between the retrieved AOD and PM2.5 was high. If more detailed and comprehensive data is provided, the accuracy could be improved and the parameters can be more precise in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing%20retrieve" title="remote sensing retrieve">remote sensing retrieve</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%202.5" title=" PM 2.5"> PM 2.5</a>, <a href="https://publications.waset.org/abstracts/search?q=GF-1" title=" GF-1"> GF-1</a>, <a href="https://publications.waset.org/abstracts/search?q=aerosol%20optical%20depth" title=" aerosol optical depth"> aerosol optical depth</a> </p> <a href="https://publications.waset.org/abstracts/78405/retrieval-of-aerosol-optical-depth-and-correlation-analysis-of-pm25-based-on-gf-1-wide-field-of-view-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78405.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">244</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">4353</span> Performance of Nakagami Fading Channel over Energy Detection Based Spectrum Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Ranjeeth">M. Ranjeeth</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Anuradha"> S. Anuradha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Spectrum sensing is the main feature of cognitive radio technology. Spectrum sensing gives an idea of detecting the presence of the primary users in a licensed spectrum. In this paper we compare the theoretical results of detection probability of different fading environments like Rayleigh, Rician, Nakagami-m fading channels with the simulation results using energy detection based spectrum sensing. The numerical results are plotted as P_f Vs P_d for different SNR values, fading parameters. It is observed that Nakagami fading channel performance is better than other fading channels by using energy detection in spectrum sensing. A MATLAB simulation test bench has been implemented to know the performance of energy detection in different fading channel environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spectrum%20sensing" title="spectrum sensing">spectrum sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20detection" title=" energy detection"> energy detection</a>, <a href="https://publications.waset.org/abstracts/search?q=fading%20channels" title=" fading channels"> fading channels</a>, <a href="https://publications.waset.org/abstracts/search?q=probability%20of%20detection" title=" probability of detection"> probability of detection</a>, <a href="https://publications.waset.org/abstracts/search?q=probability%20of%20false%20alarm" title=" probability of false alarm"> probability of false alarm</a> </p> <a href="https://publications.waset.org/abstracts/15800/performance-of-nakagami-fading-channel-over-energy-detection-based-spectrum-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15800.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">532</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">4352</span> Radio-Frequency Technologies for Sensing and Imaging</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cam%20Nguyen">Cam Nguyen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid, accurate, and safe sensing and imaging of physical quantities or structures finds many applications and is of significant interest to society. Sensing and imaging using radio-frequency (RF) techniques, particularly, has gone through significant development and subsequently established itself as a unique territory in the sensing world. RF sensing and imaging has played a critical role in providing us many sensing and imaging abilities beyond our human capabilities, benefiting both civilian and military applications - for example, from sensing abnormal conditions underneath some structures’ surfaces to detection and classification of concealed items, hidden activities, and buried objects. We present the developments of several sensing and imaging systems implementing RF technologies like ultra-wide band (UWB), synthetic-pulse, and interferometry. These systems are fabricated completely using RF integrated circuits. The UWB impulse system operates over multiple pulse durations from 450 to 1170 ps with 5.5-GHz RF bandwidth. It performs well through tests of various samples, demonstrating its usefulness for subsurface sensing. The synthetic-pulse system operating from 0.6 to 5.6 GHz can assess accurately subsurface structures. The synthetic-pulse system operating from 29.72-37.7 GHz demonstrates abilities for various surface and near-surface sensing such as profile mapping, liquid-level monitoring, and anti-personnel mine locating. The interferometric system operating at 35.6 GHz demonstrates its multi-functional capability for measurement of displacements and slow velocities. These RF sensors are attractive and useful for various surface and subsurface sensing applications. This paper was made possible by NPRP grant # 6-241-2-102 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=RF%20sensors" title="RF sensors">RF sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=radars" title=" radars"> radars</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20sensing" title=" surface sensing"> surface sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=subsurface%20sensing" title=" subsurface sensing"> subsurface sensing</a> </p> <a href="https://publications.waset.org/abstracts/73251/radio-frequency-technologies-for-sensing-and-imaging" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73251.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">316</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">4351</span> Runoff Estimation Using NRCS-CN Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20K.%20Naseela">E. K. Naseela</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20M.%20Dodamani"> B. M. Dodamani</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaithra%20Chandran"> Chaithra Chandran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The GIS and remote sensing techniques facilitate accurate estimation of surface runoff from watershed. In the present study an attempt has been made to evaluate the applicability of Natural Resources Service Curve Number method using GIS and Remote sensing technique in the upper Krishna basin (69,425 Sq.km). Landsat 7 (with resolution 30 m) satellite data for the year 2012 has been used for the preparation of land use land cover (LU/LC) map. The hydrologic soil group is mapped using GIS platform. The weighted curve numbers (CN) for all the 5 subcatchments calculated on the basis of LU/LC type and hydrologic soil class in the area by considering antecedent moisture condition. Monthly rainfall data was available for 58 raingauge stations. Overlay technique is adopted for generating weighted curve number. Results of the study show that land use changes determined from satellite images are useful in studying the runoff response of the basin. The results showed that there is no significant difference between observed and estimated runoff depths. For each subcatchment, statistically positive correlations were detected between observed and estimated runoff depth (0.6<R^2<1). Therefore, the study reveals that Remote Sensing and GIS based NRCS-CN model can be used effectively to estimate the runoff from the ungauged watersheds when adequate hydrological information is not available. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curve%20number" title="curve number">curve number</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=runoff" title=" runoff"> runoff</a> </p> <a href="https://publications.waset.org/abstracts/32748/runoff-estimation-using-nrcs-cn-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32748.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">540</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">4350</span> Highly Sensitive and Selective H2 Gas Sensor Based on Pd-Pt Decorated Nanostructured Silicon Carbide Thin Films for Extreme Environment Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Satyendra%20Mourya">Satyendra Mourya</a>, <a href="https://publications.waset.org/abstracts/search?q=Jyoti%20Jaiswal"> Jyoti Jaiswal</a>, <a href="https://publications.waset.org/abstracts/search?q=Gaurav%20Malik"> Gaurav Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Brijesh%20Kumar"> Brijesh Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramesh%20Chandra"> Ramesh Chandra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Present work describes the fabrication and sensing characteristics of the Pd-Pt decorated nanostructured silicon carbide (SiC) thin films on anodized porous silicon (PSi) substrate by RF magnetron sputtering. The gas sensing performance of Pd-Pt/SiC/PSi sensing electrode towards H2 gas under low (10–400 ppm) detection limit and high operating temperature regime (25–600 °C) were studied in detail. The chemiresistive sensor exhibited high selectivity, good sensing response, fast response/recovery time with excellent stability towards H2 at high temperature. The selectivity measurement of the sensing electrode was done towards different oxidizing and reducing gases and proposed sensing mechanism discussed in detail. Therefore, the investigated Pd-Pt/SiC/PSi structure may be a highly sensitive and selective hydrogen gas sensing electrode for deployment in extreme environment applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=RF%20Sputtering" title="RF Sputtering">RF Sputtering</a>, <a href="https://publications.waset.org/abstracts/search?q=silicon%20carbide" title=" silicon carbide"> silicon carbide</a>, <a href="https://publications.waset.org/abstracts/search?q=porous%20silicon" title=" porous silicon"> porous silicon</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrogen%20gas%20sensor" title=" hydrogen gas sensor"> hydrogen gas sensor</a> </p> <a href="https://publications.waset.org/abstracts/93164/highly-sensitive-and-selective-h2-gas-sensor-based-on-pd-pt-decorated-nanostructured-silicon-carbide-thin-films-for-extreme-environment-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93164.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">306</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">4349</span> Effective Training System for Riding Posture Using Depth and Inertial Sensors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sangseung%20Kang">Sangseung Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyekyung%20Kim"> Kyekyung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Suyoung%20Chi"> Suyoung Chi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A good posture is the most important factor in riding. In this paper, we present an effective posture correction system for a riding simulator environment to provide position error detection and customized training functions. The proposed system detects and analyzes the rider's posture using depth data and inertial sensing data. Our experiments show that including these functions will help users improve their seat for a riding. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=posture%20correction" title="posture correction">posture correction</a>, <a href="https://publications.waset.org/abstracts/search?q=posture%20training" title=" posture training"> posture training</a>, <a href="https://publications.waset.org/abstracts/search?q=riding%20posture" title=" riding posture"> riding posture</a>, <a href="https://publications.waset.org/abstracts/search?q=riding%20simulator" title=" riding simulator"> riding simulator</a> </p> <a href="https://publications.waset.org/abstracts/20842/effective-training-system-for-riding-posture-using-depth-and-inertial-sensors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20842.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">476</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">4348</span> Fluorescent Ph-Sensing Bandage for Point-of-Care Wound Diagnostics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cherifi%20Katia">Cherifi Katia</a>, <a href="https://publications.waset.org/abstracts/search?q=Al-Hawat%20Marie-Lynn"> Al-Hawat Marie-Lynn</a>, <a href="https://publications.waset.org/abstracts/search?q=Tricou%20Leo-Paul"> Tricou Leo-Paul</a>, <a href="https://publications.waset.org/abstracts/search?q=Lamontagne%20Stephanie"> Lamontagne Stephanie</a>, <a href="https://publications.waset.org/abstracts/search?q=Tran%20Minh"> Tran Minh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ngu%20Amy%20Ching%20Yie"> Ngu Amy Ching Yie</a>, <a href="https://publications.waset.org/abstracts/search?q=Manrique%20Gabriela"> Manrique Gabriela</a>, <a href="https://publications.waset.org/abstracts/search?q=Guirguis%20Natalie"> Guirguis Natalie</a>, <a href="https://publications.waset.org/abstracts/search?q=Machuca%20Parra%20Arturo%20Israel"> Machuca Parra Arturo Israel</a>, <a href="https://publications.waset.org/abstracts/search?q=Matoori%20Simon"> Matoori Simon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diabetic foot ulcers (DFUs) are a serious and prevalent complication of diabetes. Current diagnostic options are limited to macroscopic wound analysis such as wound size, depth, and infection. Molecular diagnostics promise to improve DFU diagnosis, staging, and assessment of treatment response. Here, we developed a rapid and easy-to-use fluorescent pH-sensing bandage for wound diagnostics. In a fluorescent dye screen, we identified pyranine as the lead compound due to its suitable pH-sensing properties in the clinically relevant pH range of 6 to 9. To minimize the release of this dye into the wound bed, we screened a library of ionic microparticles and found a strong adhesion of the anionic dye to a cationic polymeric microparticle. These dye-loaded microparticles showed a strong fluorescence response in the clinically relevant pH range of 6 to 9 and a dye release below 1% after one day in biological media. The dye-loaded microparticles were subsequently encapsulated in a calcium alginate hydrogel to minimize the interaction of the microparticles with the wound tissue. This pH-sensing diagnostic wound dressing was tested on full-thickness dorsal wounds of mice, and a linear fluorescence response (R2 = 0.9909) to clinically relevant pH values was observed. These findings encourage further development of this pH-sensing system for molecular diagnostics in DFUs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wound%20ph" title="wound ph">wound ph</a>, <a href="https://publications.waset.org/abstracts/search?q=fluorescence" title=" fluorescence"> fluorescence</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnostics" title=" diagnostics"> diagnostics</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetic%20foot%20ulcer" title=" diabetic foot ulcer"> diabetic foot ulcer</a>, <a href="https://publications.waset.org/abstracts/search?q=wound%20healing" title=" wound healing"> wound healing</a>, <a href="https://publications.waset.org/abstracts/search?q=chronic%20wounds" title=" chronic wounds"> chronic wounds</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetes" title=" diabetes"> diabetes</a> </p> <a href="https://publications.waset.org/abstracts/177542/fluorescent-ph-sensing-bandage-for-point-of-care-wound-diagnostics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177542.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">86</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">4347</span> Real-Time Kinetic Analysis of Labor-Intensive Repetitive Tasks Using Depth-Sensing Camera</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sudip%20Subedi">Sudip Subedi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nipesh%20Pradhananga"> Nipesh Pradhananga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The musculoskeletal disorders, also known as MSDs, are common in construction workers. MSDs include lower back injuries, knee injuries, spinal injuries, and joint injuries, among others. Since most construction tasks are still manual, construction workers often need to perform repetitive, labor-intensive tasks. And they need to stay in the same or an awkward posture for an extended time while performing such tasks. It induces significant stress to the joints and spines, increasing the risk of getting into MSDs. Manual monitoring of such tasks is virtually impossible with the handful of safety managers in a construction site. This paper proposes a methodology for performing kinetic analysis of the working postures while performing such tasks in real-time. Skeletal of different workers will be tracked using a depth-sensing camera while performing the task to create training data for identifying the best posture. For this, the kinetic analysis will be performed using a human musculoskeletal model in an open-source software system (OpenSim) to visualize the stress induced by essential joints. The “safe posture” inducing lowest stress on essential joints will be computed for different actions involved in the task. The identified “safe posture” will serve as a basis for real-time monitoring and identification of awkward and unsafe postural behaviors of construction workers. Besides, the temporal simulation will be carried out to find the associated long-term effect of repetitive exposure to such observed postures. This will help to create awareness in workers about potential future health hazards and encourage them to work safely. Furthermore, the collected individual data can then be used to provide need-based personalized training to the construction workers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=construction%20workers%E2%80%99%20safety" title="construction workers’ safety">construction workers’ safety</a>, <a href="https://publications.waset.org/abstracts/search?q=depth%20sensing%20camera" title=" depth sensing camera"> depth sensing camera</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20body%20kinetics" title=" human body kinetics"> human body kinetics</a>, <a href="https://publications.waset.org/abstracts/search?q=musculoskeletal%20disorders" title=" musculoskeletal disorders"> musculoskeletal disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20time%20monitoring" title=" real time monitoring"> real time monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=repetitive%20labor-intensive%20tasks" title=" repetitive labor-intensive tasks"> repetitive labor-intensive tasks</a> </p> <a href="https://publications.waset.org/abstracts/111914/real-time-kinetic-analysis-of-labor-intensive-repetitive-tasks-using-depth-sensing-camera" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111914.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">130</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">4346</span> Multifunctional Composite Structural Elements for Sensing and Energy Harvesting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20H.%20Alavi">Amir H. Alavi</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaveh%20%20Barri"> Kaveh Barri</a>, <a href="https://publications.waset.org/abstracts/search?q=Qianyun%20Zhang"> Qianyun Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents a new generation of lightweight and mechanically tunable structural composites with sensing and energy harvesting functionalities. This goal is achieved by integrating metamaterial and triboelectric energy harvesting concepts. Proof-of-concept polymeric beam prototypes are fabricated using 3D printing methods based on the proposed concept. Experiments and theoretical analyses are conducted to quantitatively investigate the mechanical and electrical properties of the designed multifunctional beams. The results show that these integrated structural elements can serve as nanogenerators and distributed sensing mediums without a need to incorporating any external sensing modules and electronics. The feasibility of design self-sensing and self-powering structural elements at multiscale for next generation infrastructure systems is further discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multifunctional%20structures" title="multifunctional structures">multifunctional structures</a>, <a href="https://publications.waset.org/abstracts/search?q=composites" title=" composites"> composites</a>, <a href="https://publications.waset.org/abstracts/search?q=metamaterial" title=" metamaterial"> metamaterial</a>, <a href="https://publications.waset.org/abstracts/search?q=triboelectric%20nanogenerator" title=" triboelectric nanogenerator"> triboelectric nanogenerator</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20health%20monitoring" title=" structural health monitoring"> structural health monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20harvesting" title=" energy harvesting"> energy harvesting</a> </p> <a href="https://publications.waset.org/abstracts/139372/multifunctional-composite-structural-elements-for-sensing-and-energy-harvesting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139372.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">196</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">4345</span> Condition Monitoring of Railway Earthworks using Distributed Rayleigh Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Hall">Andrew Hall</a>, <a href="https://publications.waset.org/abstracts/search?q=Paul%20Clarkson"> Paul Clarkson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change is predicted to increase the number of extreme weather events intensifying the strain on Railway Earthworks. This paper describes the use of Distributed Rayleigh Sensing to monitor low frequency activity on a vulnerable earthworks sectionprone to landslides alongside a railway line in Northern Spain. The vulnerable slope is instrumented with conventional slope stability sensors allowing an assessment to be conducted of the application of Distributed Rayleigh Sensing as an earthwork condition monitoring tool to enhance the resilience of railway networks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=condition%20monitoring" title="condition monitoring">condition monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=railway%20earthworks" title=" railway earthworks"> railway earthworks</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20rayleigh%20sensing" title=" distributed rayleigh sensing"> distributed rayleigh sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title=" climate change"> climate change</a> </p> <a href="https://publications.waset.org/abstracts/141052/condition-monitoring-of-railway-earthworks-using-distributed-rayleigh-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141052.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">206</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">4344</span> Application of Remote Sensing and In-Situ Measurements for Discharge Monitoring in Large Rivers: Case of Pool Malebo in the Congo River Basin</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kechnit%20Djamel">Kechnit Djamel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammarri%20Abdelhadi"> Ammarri Abdelhadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Raphael%20Tshimang"> Raphael Tshimang</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Trrig"> Mark Trrig</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the most important aspects of monitoring rivers is navigation. The variation of discharge in the river generally produces a change in available draft for a vessel, particularly in the low flow season, which can impact the navigable water path, especially when the water depth is less than the normal one, which allows safe navigation for boats. The water depth is related to the bathymetry of the channel as well as the discharge. For a seasonal update of the navigation maps, a daily discharge value is required. Many novel approaches based on earth observation and remote sensing have been investigated for large rivers. However, it should be noted that most of these approaches are not currently able to directly estimate river discharge. This paper discusses the application of remote sensing tools using the analysis of the reflectance value of MODIS imagery and is combined with field measurements for the estimation of discharge. This approach is applied in the lower reach of the Congo River (Pool Malebo) for the period between 2019 and 2021. The correlation obtained between the observed discharge observed in the gauging station and the reflectance ratio time series is 0.81. In this context, a Discharge Reflectance Model (DRM) was developed to express discharge as a function of reflectance. This model introduces a non-contact method that allows discharge monitoring using earth observation. DRM was validated by field measurements using ADCP, in different sections on the Pool Malebo, over two different periods (dry and wet seasons), as well as by the observed discharge in the gauging station. The observed error between the estimated and measured discharge values ranges from 1 to 8% for the ADCP and from (1% to 11%) for the gauging station. The study of the uncertainties will give us the possibility to judge the robustness of the DRM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discharge%20monitoring" title="discharge monitoring">discharge monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation" title=" navigation"> navigation</a>, <a href="https://publications.waset.org/abstracts/search?q=MODIS" title=" MODIS"> MODIS</a>, <a href="https://publications.waset.org/abstracts/search?q=empiric" title=" empiric"> empiric</a>, <a href="https://publications.waset.org/abstracts/search?q=ADCP" title=" ADCP"> ADCP</a>, <a href="https://publications.waset.org/abstracts/search?q=Congo%20River" title=" Congo River"> Congo River</a> </p> <a href="https://publications.waset.org/abstracts/160633/application-of-remote-sensing-and-in-situ-measurements-for-discharge-monitoring-in-large-rivers-case-of-pool-malebo-in-the-congo-river-basin" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160633.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">92</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">4343</span> Optimal Sensing Technique for Estimating Stress Distribution of 2-D Steel Frame Structure Using Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jun%20Su%20Park">Jun Su Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Byung%20Kwan%20Oh"> Byung Kwan Oh</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Woo%20Hwang"> Jin Woo Hwang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yousok%20Kim"> Yousok Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyo%20Seon%20Park"> Hyo Seon Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For the structural safety, the maximum stress calculated from the stress distribution of a structure is widely used. The stress distribution can be estimated by deformed shape of the structure obtained from measurement. Although the estimation of stress is strongly affected by the location and number of sensing points, most studies have conducted the stress estimation without reasonable basis on sensing plan such as the location and number of sensors. In this paper, an optimal sensing technique for estimating the stress distribution is proposed. This technique proposes the optimal location and number of sensing points for a 2-D frame structure while minimizing the error of stress distribution between analytical model and estimation by cubic smoothing splines using genetic algorithm. To verify the proposed method, the optimal sensor measurement technique is applied to simulation tests on 2-D steel frame structure. The simulation tests are performed under various loading scenarios. Through those tests, the optimal sensing plan for the structure is suggested and verified. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title="genetic algorithm">genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20sensing" title=" optimal sensing"> optimal sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=optimizing%20sensor%20placements" title=" optimizing sensor placements"> optimizing sensor placements</a>, <a href="https://publications.waset.org/abstracts/search?q=steel%20frame%20structure" title=" steel frame structure"> steel frame structure</a> </p> <a href="https://publications.waset.org/abstracts/25426/optimal-sensing-technique-for-estimating-stress-distribution-of-2-d-steel-frame-structure-using-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25426.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">532</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">4342</span> PSRR Enhanced LDO Regulator Using Noise Sensing Circuit</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Min-ju%20Kwon">Min-ju Kwon</a>, <a href="https://publications.waset.org/abstracts/search?q=Chae-won%20Kim"> Chae-won Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeong-yun%20Seo"> Jeong-yun Seo</a>, <a href="https://publications.waset.org/abstracts/search?q=Hee-guk%20Chae"> Hee-guk Chae</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-seo%20Koo"> Yong-seo Koo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we presented the LDO (low-dropout) regulator which enhanced the PSRR by applying the constant current source generation technique through the BGR (Band Gap Reference) to form the noise sensing circuit. The current source through the BGR has a constant current value even if the applied voltage varies. Then, the noise sensing circuit, which is composed of the current source through the BGR, operated between the error amplifier and the pass transistor gate of the LDO regulator. As a result, the LDO regulator has a PSRR of -68.2 dB at 1k Hz, -45.85 dB at 1 MHz and -45 dB at 10 MHz. the other performance of the proposed LDO was maintained at the same level of the conventional LDO regulator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LDO%20regulator" title="LDO regulator">LDO regulator</a>, <a href="https://publications.waset.org/abstracts/search?q=noise%20sensing%20circuit" title=" noise sensing circuit"> noise sensing circuit</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20reference" title=" current reference"> current reference</a>, <a href="https://publications.waset.org/abstracts/search?q=pass%20transistor" title=" pass transistor"> pass transistor</a> </p> <a href="https://publications.waset.org/abstracts/78192/psrr-enhanced-ldo-regulator-using-noise-sensing-circuit" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78192.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">283</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">4341</span> Numerical Modeling of the Depth-Averaged Flow over a Hill</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anna%20Avramenko">Anna Avramenko</a>, <a href="https://publications.waset.org/abstracts/search?q=Heikki%20Haario"> Heikki Haario</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper reports the development and application of a 2D depth-averaged model. The main goal of this contribution is to apply the depth averaged equations to a wind park model in which the treatment of the geometry, introduced on the mathematical model by the mass and momentum source terms. The depth-averaged model will be used in future to find the optimal position of wind turbines in the wind park. K-E and 2D LES turbulence models were consider in this article. 2D CFD simulations for one hill was done to check the depth-averaged model in practise. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depth-averaged%20equations" title="depth-averaged equations">depth-averaged equations</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20modeling" title=" numerical modeling"> numerical modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD" title=" CFD"> CFD</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20park%20model" title=" wind park model"> wind park model</a> </p> <a href="https://publications.waset.org/abstracts/21445/numerical-modeling-of-the-depth-averaged-flow-over-a-hill" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21445.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">603</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">4340</span> Elevating Environmental Impact Assessment through Remote Sensing in Engineering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Spoorthi%20Srupad">Spoorthi Srupad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Environmental Impact Assessment (EIA) stands as a critical engineering application facilitated by Earth Resources and Environmental Remote Sensing. Employing advanced technologies, this process enables a systematic evaluation of potential environmental impacts arising from engineering projects. Remote sensing techniques, including satellite imagery and geographic information systems (GIS), play a pivotal role in providing comprehensive data for assessing changes in land cover, vegetation, water bodies, and air quality. This abstract delves into the significance of EIA in engineering, emphasizing its role in ensuring sustainable and environmentally responsible practices. The integration of remote sensing technologies enhances the accuracy and efficiency of impact assessments, contributing to informed decision-making and the mitigation of adverse environmental consequences associated with engineering endeavors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environmental%20impact%20assessment" title="environmental impact assessment">environmental impact assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=engineering%20applications" title=" engineering applications"> engineering applications</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20monitoring" title=" environmental monitoring"> environmental monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20information%20systems" title=" geographic information systems"> geographic information systems</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20management" title=" environmental management"> environmental management</a> </p> <a href="https://publications.waset.org/abstracts/179151/elevating-environmental-impact-assessment-through-remote-sensing-in-engineering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179151.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">92</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">4339</span> RGB-D SLAM Algorithm Based on pixel level Dense Depth Map</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hao%20Zhang">Hao Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyang%20Yu"> Hongyang Yu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Scale uncertainty is a well-known challenging problem in visual SLAM. Because RGB-D sensor provides depth information, RGB-D SLAM improves this scale uncertainty problem. However, due to the limitation of physical hardware, the depth map output by RGB-D sensor usually contains a large area of missing depth values. These missing depth information affect the accuracy and robustness of RGB-D SLAM. In order to reduce these effects, this paper completes the missing area of the depth map output by RGB-D sensor and then fuses the completed dense depth map into ORB SLAM2. By adding the process of obtaining pixel-level dense depth maps, a better RGB-D visual SLAM algorithm is finally obtained. In the process of obtaining dense depth maps, a deep learning model of indoor scenes is adopted. Experiments are conducted on public datasets and real-world environments of indoor scenes. Experimental results show that the proposed SLAM algorithm has better robustness than ORB SLAM2. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=RGB-D" title="RGB-D">RGB-D</a>, <a href="https://publications.waset.org/abstracts/search?q=SLAM" title=" SLAM"> SLAM</a>, <a href="https://publications.waset.org/abstracts/search?q=dense%20depth" title=" dense depth"> dense depth</a>, <a href="https://publications.waset.org/abstracts/search?q=depth%20map" title=" depth map"> depth map</a> </p> <a href="https://publications.waset.org/abstracts/147802/rgb-d-slam-algorithm-based-on-pixel-level-dense-depth-map" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147802.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">140</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">4338</span> Integration of GIS with Remote Sensing and GPS for Disaster Mitigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sikander%20Nawaz%20Khan">Sikander Nawaz Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Natural disasters like flood, earthquake, cyclone, volcanic eruption and others are causing immense losses to the property and lives every year. Current status and actual loss information of natural hazards can be determined and also prediction for next probable disasters can be made using different remote sensing and mapping technologies. Global Positioning System (GPS) calculates the exact position of damage. It can also communicate with wireless sensor nodes embedded in potentially dangerous places. GPS provide precise and accurate locations and other related information like speed, track, direction and distance of target object to emergency responders. Remote Sensing facilitates to map damages without having physical contact with target area. Now with the addition of more remote sensing satellites and other advancements, early warning system is used very efficiently. Remote sensing is being used both at local and global scale. High Resolution Satellite Imagery (HRSI), airborne remote sensing and space-borne remote sensing is playing vital role in disaster management. Early on Geographic Information System (GIS) was used to collect, arrange, and map the spatial information but now it has capability to analyze spatial data. This analytical ability of GIS is the main cause of its adaption by different emergency services providers like police and ambulance service. Full potential of these so called 3S technologies cannot be used in alone. Integration of GPS and other remote sensing techniques with GIS has pointed new horizons in modeling of earth science activities. Many remote sensing cases including Asian Ocean Tsunami in 2004, Mount Mangart landslides and Pakistan-India earthquake in 2005 are described in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disaster%20mitigation" title="disaster mitigation">disaster mitigation</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS" title=" GPS"> GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a> </p> <a href="https://publications.waset.org/abstracts/11085/integration-of-gis-with-remote-sensing-and-gps-for-disaster-mitigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11085.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">481</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">4337</span> Advancing Horizons: Standardized Future Trends in LiDAR and Remote Sensing Technologies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Spoorthi%20Sripad">Spoorthi Sripad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid advancements in LiDAR (Light Detection and Ranging) technology, coupled with the synergy of remote sensing, have revolutionized Earth observation methodologies. This paper delves into the transformative impact of integrated LiDAR and remote sensing systems. Focusing on miniaturization, cost reduction, and improved resolution, the study explores the evolving landscape of terrestrial and aquatic environmental monitoring. The integration of multi-wavelength and dual-mode LiDAR systems, alongside collaborative efforts with other remote sensing technologies, presents a comprehensive approach. The paper highlights the pivotal role of LiDAR in environmental assessment, urban planning, and infrastructure development. As the amalgamation of LiDAR and remote sensing reshapes Earth observation, this research anticipates a paradigm shift in our understanding of dynamic planetary processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LiDAR" title="LiDAR">LiDAR</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=earth%20observation" title=" earth observation"> earth observation</a>, <a href="https://publications.waset.org/abstracts/search?q=advancements" title=" advancements"> advancements</a>, <a href="https://publications.waset.org/abstracts/search?q=integration" title=" integration"> integration</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20monitoring" title=" environmental monitoring"> environmental monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-wavelength" title=" multi-wavelength"> multi-wavelength</a>, <a href="https://publications.waset.org/abstracts/search?q=dual-mode" title=" dual-mode"> dual-mode</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title=" urban planning"> urban planning</a>, <a href="https://publications.waset.org/abstracts/search?q=infrastructure" title=" infrastructure"> infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=resolution" title=" resolution"> resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=miniaturization" title=" miniaturization"> miniaturization</a> </p> <a href="https://publications.waset.org/abstracts/179167/advancing-horizons-standardized-future-trends-in-lidar-and-remote-sensing-technologies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179167.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">84</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">4336</span> Fe-Doped Graphene Nanoparticles for Gas Sensing Applications </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shivani%20A.%20Singh">Shivani A. Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Pravin%20S.%20More"> Pravin S. More</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present inspection, we indicate the falsification of Fe-doped graphene nanoparticles by modified Hummers method. Structural and physiochemical properties of the resulting pallets were explored with the help of ultraviolet-visible spectroscopy (UV-Vis), Fourier transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD) and scanning electron microscopy (SEM), Photoluminescence spectroscopy (PL) for graphene sample exhibits absorption peaks ~248nm. Pure graphene shows PL peak at 348 nm. After doping of Fe with graphene the PL peak shifted from 348 nm to 332 nm. The oxidation degree, i.e. the relative amount of oxygen functional groups was estimated from the relative intensities of the oxygen related bands (ORB) in the FTIR measurements. These analyses show that this modified material can be useful for gas sensing applications and to be used in diverse areas. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chemical%20doping" title="chemical doping">chemical doping</a>, <a href="https://publications.waset.org/abstracts/search?q=graphene" title=" graphene"> graphene</a>, <a href="https://publications.waset.org/abstracts/search?q=gas%20sensing" title=" gas sensing"> gas sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=sensing" title=" sensing"> sensing</a> </p> <a href="https://publications.waset.org/abstracts/79785/fe-doped-graphene-nanoparticles-for-gas-sensing-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79785.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">218</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">4335</span> Cooperative Spectrum Sensing Using Hybrid IWO/PSO Algorithm in Cognitive Radio Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepa%20Das">Deepa Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Susmita%20Das"> Susmita Das</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cognitive Radio (CR) is an emerging technology to combat the spectrum scarcity issues. This is achieved by consistently sensing the spectrum, and detecting the under-utilized frequency bands without causing undue interference to the primary user (PU). In soft decision fusion (SDF) based cooperative spectrum sensing, various evolutionary algorithms have been discussed, which optimize the weight coefficient vector for maximizing the detection performance. In this paper, we propose the hybrid invasive weed optimization and particle swarm optimization (IWO/PSO) algorithm as a fast and global optimization method, which improves the detection probability with a lesser sensing time. Then, the efficiency of this algorithm is compared with the standard invasive weed optimization (IWO), particle swarm optimization (PSO), genetic algorithm (GA) and other conventional SDF based methods on the basis of convergence and detection probability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20radio" title="cognitive radio">cognitive radio</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrum%20sensing" title=" spectrum sensing"> spectrum sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=soft%20decision%20fusion" title=" soft decision fusion"> soft decision fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=GA" title=" GA"> GA</a>, <a href="https://publications.waset.org/abstracts/search?q=PSO" title=" PSO"> PSO</a>, <a href="https://publications.waset.org/abstracts/search?q=IWO" title=" IWO"> IWO</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20IWO%2FPSO" title=" hybrid IWO/PSO"> hybrid IWO/PSO</a> </p> <a href="https://publications.waset.org/abstracts/9362/cooperative-spectrum-sensing-using-hybrid-iwopso-algorithm-in-cognitive-radio-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9362.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">467</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">4334</span> 2D Nanomaterials-Based Geopolymer as-Self-Sensing Buildings in Construction Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maryam%20Kiani">Maryam Kiani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The self-sensing capability opens up new possibilities for structural health monitoring, offering real-time information on the condition and performance of constructions. The synthesis and characterization of these functional 2D material geopolymers will be explored in this study. Various fabrication techniques, including mixing, dispersion, and coating methods, will be employed to ensure uniform distribution and integration of the 2D materials within the geopolymers. The resulting composite materials will be evaluated for their mechanical strength, electrical conductivity, and sensing capabilities through rigorous testing and analysis. The potential applications of these self-sensing geopolymers are vast. They can be used in infrastructure projects, such as bridges, tunnels, and buildings, to provide continuous monitoring and early detection of structural damage or degradation. This proactive approach to maintenance and safety can significantly improve the lifespan and efficiency of constructions, ultimately reducing maintenance costs and enhancing overall sustainability. In conclusion, the development of functional 2D material geopolymers as self-sensing materials presents an exciting advancement in the construction industry. By integrating these innovative materials into structures, we can create a new generation of intelligent, self-monitoring constructions that can adapt and respond to their environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=2D%20materials" title="2D materials">2D materials</a>, <a href="https://publications.waset.org/abstracts/search?q=geopolymers" title=" geopolymers"> geopolymers</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20properties" title=" electrical properties"> electrical properties</a>, <a href="https://publications.waset.org/abstracts/search?q=self-sensing" title=" self-sensing"> self-sensing</a> </p> <a href="https://publications.waset.org/abstracts/178632/2d-nanomaterials-based-geopolymer-as-self-sensing-buildings-in-construction-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178632.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">133</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">4333</span> Exploring the Gas Sensing Performance of Cu-Doped Iron Oxide Derived from Metal-Organic Framework</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Annu%20Sheokand">Annu Sheokand</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinay%20Kumar"> Vinay Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hydrogen sulfide (H₂S) detection is essential for environmental monitoring and industrial safety due to its high toxicity, even at low concentrations. This study explores the H₂S gas sensing properties of Cu-doped Fe₂O₃ materials derived from metal-organic frameworks (MOFs), which offer high surface area and controlled porosity for optimized gas sensing. The structural and morphological characteristics of the synthesized material were thoroughly analyzed using techniques such as X-ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FE-SEM), and UV-Vis Spectroscopy. The resulting sensor exhibited remarkable sensitivity and selectivity, achieving a detection limit at the ppb level for H₂S. The study indicates that Cu doping significantly enhances the gas sensing performance of Fe₂O₃ by introducing abundant active sites within the material. These enhanced sensing properties emphasize the potential of MOF-derived Cu-doped Fe₂O₃ as a highly effective material for H₂S gas sensors in various applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=detection%20limit" title="detection limit">detection limit</a>, <a href="https://publications.waset.org/abstracts/search?q=doping" title=" doping"> doping</a>, <a href="https://publications.waset.org/abstracts/search?q=MOF" title=" MOF"> MOF</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity" title=" sensitivity"> sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor"> sensor</a> </p> <a href="https://publications.waset.org/abstracts/193481/exploring-the-gas-sensing-performance-of-cu-doped-iron-oxide-derived-from-metal-organic-framework" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193481.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">16</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">4332</span> Uniform Porous Multilayer-Junction Thin Film for Enhanced Gas-Sensing Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ping-Ping%20Zhang">Ping-Ping Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui-Zhang"> Hui-Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xu-Hui%20Sun"> Xu-Hui Sun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Highly-uniform In2O3/CuO bilayer and multilayer porous thin films were successfully fabricated using self-assembled soft template and simple sputtering deposition technique. The sensor based on the In2O3/CuO bilayer porous thin film shows obviously improved sensing performance to ethanol at the lower working temperature, compared to single layer counterpart sensors. The response of In2O3/CuO bilayer sensors exhibits nearly 3 and 5 times higher than those of the single layer In2O3 and CuO porous film sensors over the same ethanol concentration, respectively. The sensing mechanism based on p-n hetero-junction, which contributed to the enhanced sensing performance was also experimentally confirmed by a control experiment which the SiO2 insulation layer was inserted between the In2O3 and CuO layers to break the p-n junction. In addition, the sensing performance can be further enhanced by increasing the number of In2O3/CuO junction layers. The facile process can be easily extended to the fabrication of other semiconductor oxide gas sensors for practical sensing applications. <p class="card-text"><strong>Keywords:</strong> <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=multilayer%20porous%20thin%20films" title=" multilayer porous thin films"> multilayer porous thin films</a>, <a href="https://publications.waset.org/abstracts/search?q=In2O3%2FCuO" title=" In2O3/CuO"> In2O3/CuO</a>, <a href="https://publications.waset.org/abstracts/search?q=p-n%20junction" title=" p-n junction"> p-n junction</a> </p> <a href="https://publications.waset.org/abstracts/43275/uniform-porous-multilayer-junction-thin-film-for-enhanced-gas-sensing-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43275.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">323</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">4331</span> A Comparative Study on Automatic Feature Classification Methods of Remote Sensing Images </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Jeong%20Min">Lee Jeong Min</a>, <a href="https://publications.waset.org/abstracts/search?q=Lee%20Mi%20Hee"> Lee Mi Hee</a>, <a href="https://publications.waset.org/abstracts/search?q=Eo%20Yang%20Dam"> Eo Yang Dam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Geospatial feature extraction is a very important issue in the remote sensing research. In the meantime, the image classification based on statistical techniques, but, in recent years, data mining and machine learning techniques for automated image processing technology is being applied to remote sensing it has focused on improved results generated possibility. In this study, artificial neural network and decision tree technique is applied to classify the high-resolution satellite images, as compared to the MLC processing result is a statistical technique and an analysis of the pros and cons between each of the techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20likelihood%20classification" title=" maximum likelihood classification"> maximum likelihood classification</a> </p> <a href="https://publications.waset.org/abstracts/48370/a-comparative-study-on-automatic-feature-classification-methods-of-remote-sensing-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48370.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">347</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">4330</span> Distributed Optical Fiber Vibration Sensing Using Phase Generated Carrier Demodulation Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhihua%20Yu">Zhihua Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Qi%20Zhang"> Qi Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Mingyu%20Zhang"> Mingyu Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Haolong%20Dai"> Haolong Dai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distributed fiber-optic vibration sensors are gaining extensive attention, for the advantages of high sensitivity, accurate location, light weight, large-scale monitoring, good concealment, and etc. In this paper, a novel optical fiber distributed vibration sensing system is proposed, which is based on self-interference of Rayleigh backscattering with phase generated carrier (PGC) demodulation algorithm. Pulsed lights are sent into the sensing fiber and the Rayleigh backscattering light from a certain position along the sensing fiber would interfere through an unbalanced Michelson Interferometry (MI) to generate the interference light. An improved PGC demodulation algorithm is carried out to recover the phase information of the interference signal, which carries the sensing information. Three vibration events were applied simultaneously to different positions over 2000m sensing fiber and demodulated correctly. Experiments show that the spatial resolution of is 10 m, and the noise level of the Φ-OTDR system is about 10-3 rad/√Hz, and the signal to noise ratio (SNR) is about 30.34dB. This vibration measurement scheme can be applied at surface, seabed or downhole for vibration measurements or distributed acoustic sensing (DAS). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fiber%20optics%20sensors" title="fiber optics sensors">fiber optics sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=Michelson%20interferometry" title=" Michelson interferometry"> Michelson interferometry</a>, <a href="https://publications.waset.org/abstracts/search?q=MI" title=" MI"> MI</a>, <a href="https://publications.waset.org/abstracts/search?q=phase-sensitive%20optical%20time%20domain%20reflectometry" title=" phase-sensitive optical time domain reflectometry"> phase-sensitive optical time domain reflectometry</a>, <a href="https://publications.waset.org/abstracts/search?q=%CE%A6-OTDR" title=" Φ-OTDR"> Φ-OTDR</a>, <a href="https://publications.waset.org/abstracts/search?q=phase%20generated%20carrier" title=" phase generated carrier"> phase generated carrier</a>, <a href="https://publications.waset.org/abstracts/search?q=PGC" title=" PGC"> PGC</a> </p> <a href="https://publications.waset.org/abstracts/93881/distributed-optical-fiber-vibration-sensing-using-phase-generated-carrier-demodulation-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93881.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">190</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=145">145</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=146">146</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=depth%20sensing&amp;page=2" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">&copy; 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">&times;</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

Pages: 1 2 3 4 5 6 7 8 9 10