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spatio-temporal data</title> <meta name="description" content="Search results for: spatio-temporal data"> <meta name="keywords" content="spatio-temporal data"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="spatio-temporal data"> <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> 25195</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: spatio-temporal data</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25195</span> Design and Development of a Platform for Analyzing Spatio-Temporal Data from Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Walid%20Fantazi">Walid Fantazi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The development of sensor technology (such as microelectromechanical systems (MEMS), wireless communications, embedded systems, distributed processing and wireless sensor applications) has contributed to a broad range of WSN applications which are capable of collecting a large amount of spatiotemporal data in real time. These systems require real-time data processing to manage storage in real time and query the data they process. In order to cover these needs, we propose in this paper a Snapshot spatiotemporal data model based on object-oriented concepts. This model allows saving storing and reducing data redundancy which makes it easier to execute spatiotemporal queries and save analyzes time. Further, to ensure the robustness of the system as well as the elimination of congestion from the main access memory we propose a spatiotemporal indexing technique in RAM called Captree *. As a result, we offer an RIA (Rich Internet Application) -based SOA application architecture which allows the remote monitoring and control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WSN" title="WSN">WSN</a>, <a href="https://publications.waset.org/abstracts/search?q=indexing%20data" title=" indexing data"> indexing data</a>, <a href="https://publications.waset.org/abstracts/search?q=SOA" title=" SOA"> SOA</a>, <a href="https://publications.waset.org/abstracts/search?q=RIA" title=" RIA"> RIA</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20information%20system" title=" geographic information system "> geographic information system </a> </p> <a href="https://publications.waset.org/abstracts/88946/design-and-development-of-a-platform-for-analyzing-spatio-temporal-data-from-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88946.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">254</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">25194</span> R Software for Parameter Estimation of Spatio-Temporal Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Budi%20Nurani%20Ruchjana">Budi Nurani Ruchjana</a>, <a href="https://publications.waset.org/abstracts/search?q=Atje%20Setiawan%20Abdullah"> Atje Setiawan Abdullah</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Gede%20Nyoman%20Mindra%20Jaya"> I. Gede Nyoman Mindra Jaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Eddy%20Hermawan"> Eddy Hermawan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose the application package to estimate parameters of spatiotemporal model based on the multivariate time series analysis using the R open-source software. We build packages mainly to estimate the parameters of the Generalized Space Time Autoregressive (GSTAR) model. GSTAR is a combination of time series and spatial models that have parameters vary per location. We use the method of Ordinary Least Squares (OLS) and use the Mean Average Percentage Error (MAPE) to fit the model to spatiotemporal real phenomenon. For case study, we use oil production data from volcanic layer at Jatibarang Indonesia or climate data such as rainfall in Indonesia. Software R is very user-friendly and it is making calculation easier, processing the data is accurate and faster. Limitations R script for the estimation of model parameters spatiotemporal GSTAR built is still limited to a stationary time series model. Therefore, the R program under windows can be developed either for theoretical studies and application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GSTAR%20Model" title="GSTAR Model">GSTAR Model</a>, <a href="https://publications.waset.org/abstracts/search?q=MAPE" title=" MAPE"> MAPE</a>, <a href="https://publications.waset.org/abstracts/search?q=OLS%20method" title=" OLS method"> OLS method</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20production" title=" oil production"> oil production</a>, <a href="https://publications.waset.org/abstracts/search?q=R%20software" title=" R software"> R software</a> </p> <a href="https://publications.waset.org/abstracts/62320/r-software-for-parameter-estimation-of-spatio-temporal-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62320.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">242</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">25193</span> Spatiotemporal Neural Network for Video-Based Pose Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bin%20Ji">Bin Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Kai%20Xu"> Kai Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Shunyu%20Yao"> Shunyu Yao</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingjing%20Liu"> Jingjing Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ye%20Pan"> Ye Pan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human pose estimation is a popular research area in computer vision for its important application in human-machine interface. In recent years, 2D human pose estimation based on convolution neural network has got great progress and development. However, in more and more practical applications, people often need to deal with tasks based on video. It’s not far-fetched for us to consider how to combine the spatial and temporal information together to achieve a balance between computing cost and accuracy. To address this issue, this study proposes a new spatiotemporal model, namely Spatiotemporal Net (STNet) to combine both temporal and spatial information more rationally. As a result, the predicted keypoints heatmap is potentially more accurate and spatially more precise. Under the condition of ensuring the recognition accuracy, the algorithm deal with spatiotemporal series in a decoupled way, which greatly reduces the computation of the model, thus reducing the resource consumption. This study demonstrate the effectiveness of our network over the Penn Action Dataset, and the results indicate superior performance of our network over the existing methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=convolutional%20long%20short-term%20memory" title="convolutional long short-term memory">convolutional long short-term memory</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20pose%20estimation" title=" human pose estimation"> human pose estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20series" title=" spatiotemporal series"> spatiotemporal series</a> </p> <a href="https://publications.waset.org/abstracts/129867/spatiotemporal-neural-network-for-video-based-pose-estimation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129867.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">148</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">25192</span> Sparse Representation Based Spatiotemporal Fusion Employing Additional Image Pairs to Improve Dictionary Training</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dacheng%20Li">Dacheng Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Bo%20Huang"> Bo Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Qinjin%20Han"> Qinjin Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Ming%20Li"> Ming Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Remotely sensed imagery with the high spatial and temporal characteristics, which it is hard to acquire under the current land observation satellites, has been considered as a key factor for monitoring environmental changes over both global and local scales. On a basis of the limited high spatial-resolution observations, challenged studies called spatiotemporal fusion have been developed for generating high spatiotemporal images through employing other auxiliary low spatial-resolution data while with high-frequency observations. However, a majority of spatiotemporal fusion approaches yield to satisfactory assumption, empirical but unstable parameters, low accuracy or inefficient performance. Although the spatiotemporal fusion methodology via sparse representation theory has advantage in capturing reflectance changes, stability and execution efficiency (even more efficient when overcomplete dictionaries have been pre-trained), the retrieval of high-accuracy dictionary and its response to fusion results are still pending issues. In this paper, we employ additional image pairs (here each image-pair includes a Landsat Operational Land Imager and a Moderate Resolution Imaging Spectroradiometer acquisitions covering the partial area of Baotou, China) only into the coupled dictionary training process based on K-SVD (K-means Singular Value Decomposition) algorithm, and attempt to improve the fusion results of two existing sparse representation based fusion models (respectively utilizing one and two available image-pair). The results show that more eligible image pairs are probably related to a more accurate overcomplete dictionary, which generally indicates a better image representation, and is then contribute to an effective fusion performance in case that the added image-pair has similar seasonal aspects and image spatial structure features to the original image-pair. It is, therefore, reasonable to construct multi-dictionary training pattern for generating a series of high spatial resolution images based on limited acquisitions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20fusion" title="spatiotemporal fusion">spatiotemporal fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=sparse%20representation" title=" sparse representation"> sparse representation</a>, <a href="https://publications.waset.org/abstracts/search?q=K-SVD%20algorithm" title=" K-SVD algorithm"> K-SVD algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=dictionary%20learning" title=" dictionary learning"> dictionary learning</a> </p> <a href="https://publications.waset.org/abstracts/74785/sparse-representation-based-spatiotemporal-fusion-employing-additional-image-pairs-to-improve-dictionary-training" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74785.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">261</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">25191</span> Use of Data of the Remote Sensing for Spatiotemporal Analysis Land Use Changes in the Eastern Aurès (Algeria)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Bouzekri">A. Bouzekri</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Benmassaud"> H. Benmassaud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aurès region is one of the arid and semi-arid areas that have suffered climate crises and overexploitation of natural resources they have led to significant land degradation. The use of remote sensing data allowed us to analyze the land and its spatiotemporal changes in the Aurès between 1987 and 2013, for this work, we adopted a method of analysis based on the exploitation of the images satellite Landsat TM 1987 and Landsat OLI 2013, from the supervised classification likelihood coupled with field surveys of the mission of May and September of 2013. Using ENVI EX software by the superposition of the ground cover maps from 1987 and 2013, one can extract a spatial map change of different land cover units. The results show that between 1987 and 2013 vegetation has suffered negative changes are the significant degradation of forests and steppe rangelands, and sandy soils and bare land recorded a considerable increase. The spatial change map land cover units between 1987 and 2013 allows us to understand the extensive or regressive orientation of vegetation and soil, this map shows that dense forests give his place to clear forests and steppe vegetation develops from a degraded forest vegetation and bare, sandy soils earn big steppe surfaces that explain its remarkable extension. The analysis of remote sensing data highlights the profound changes in our environment over time and quantitative monitoring of the risk of desertification. <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=spatiotemporal" title=" spatiotemporal"> spatiotemporal</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use" title=" land use"> land use</a>, <a href="https://publications.waset.org/abstracts/search?q=Aur%C3%A8s" title=" Aurès"> Aurès</a> </p> <a href="https://publications.waset.org/abstracts/35587/use-of-data-of-the-remote-sensing-for-spatiotemporal-analysis-land-use-changes-in-the-eastern-aures-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35587.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">335</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">25190</span> High-Resolution Spatiotemporal Retrievals of Aerosol Optical Depth from Geostationary Satellite Using Sara Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Bilal">Muhammad Bilal</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhongfeng%20Qiu"> Zhongfeng Qiu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aerosols, suspended particles in the atmosphere, play an important role in the earth energy budget, climate change, degradation of atmospheric visibility, urban air quality, and human health. To fully understand aerosol effects, retrieval of aerosol optical properties such as aerosol optical depth (AOD) at high spatiotemporal resolution is required. Therefore, in the present study, hourly AOD observations at 500 m resolution were retrieved from the geostationary ocean color imager (GOCI) using the simplified aerosol retrieval algorithm (SARA) over the urban area of Beijing for the year 2016. The SARA requires top-of-the-atmosphere (TOA) reflectance, solar and sensor geometry information and surface reflectance observations to retrieve an accurate AOD. For validation of the GOCI retrieved AOD, AOD measurements were obtained from the aerosol robotic network (AERONET) version 3 level 2.0 (cloud-screened and quality assured) data. The errors and uncertainties were reported using the root mean square error (RMSE), relative percent mean error (RPME), and the expected error (EE = ± (0.05 + 0.15AOD). Results showed that the high spatiotemporal GOCI AOD observations were well correlated with the AERONET AOD measurements with a correlation coefficient (R) of 0.92, RMSE of 0.07, and RPME of 5%, and 90% of the observations were within the EE. The results suggested that the SARA is robust and has the ability to retrieve high-resolution spatiotemporal AOD observations over the urban area using the geostationary satellite. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AEORNET" title="AEORNET">AEORNET</a>, <a href="https://publications.waset.org/abstracts/search?q=AOD" title=" AOD"> AOD</a>, <a href="https://publications.waset.org/abstracts/search?q=SARA" title=" SARA"> SARA</a>, <a href="https://publications.waset.org/abstracts/search?q=GOCI" title=" GOCI"> GOCI</a>, <a href="https://publications.waset.org/abstracts/search?q=Beijing" title=" Beijing"> Beijing</a> </p> <a href="https://publications.waset.org/abstracts/101729/high-resolution-spatiotemporal-retrievals-of-aerosol-optical-depth-from-geostationary-satellite-using-sara-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101729.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">171</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">25189</span> Maximizing Coverage with Mobile Crime Cameras in a Stochastic Spatiotemporal Bipartite Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%28Ted%29%20Edward%20Holmberg">(Ted) Edward Holmberg</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahdi%20Abdelguerfi"> Mahdi Abdelguerfi</a>, <a href="https://publications.waset.org/abstracts/search?q=Elias%20Ioup"> Elias Ioup</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research details a coverage measure for evaluating the effectiveness of observer node placements in a spatial bipartite network. This coverage measure can be used to optimize the configuration of stationary or mobile spatially oriented observer nodes, or a hybrid of the two, over time in order to fully utilize their capabilities. To demonstrate the practical application of this approach, we construct a SpatioTemporal Bipartite Network (STBN) using real-time crime center (RTCC) camera nodes and NOPD calls for service (CFS) event nodes from New Orleans, La (NOLA). We use the coverage measure to identify optimal placements for moving mobile RTCC camera vans to improve coverage of vulnerable areas based on temporal patterns. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coverage%20measure" title="coverage measure">coverage measure</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20node%20dynamics" title=" mobile node dynamics"> mobile node dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=Monte%20Carlo%20simulation" title=" Monte Carlo simulation"> Monte Carlo simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=observer%20nodes" title=" observer nodes"> observer nodes</a>, <a href="https://publications.waset.org/abstracts/search?q=observable%20nodes" title=" observable nodes"> observable nodes</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20bipartite%20knowledge%20graph" title=" spatiotemporal bipartite knowledge graph"> spatiotemporal bipartite knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20spatial%20analysis" title=" temporal spatial analysis"> temporal spatial analysis</a> </p> <a href="https://publications.waset.org/abstracts/161229/maximizing-coverage-with-mobile-crime-cameras-in-a-stochastic-spatiotemporal-bipartite-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161229.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">114</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">25188</span> Research on Air pollution Spatiotemporal Forecast Model Based on LSTM</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=JingWei%20Yu">JingWei Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hong%20Yang%20Yu"> Hong Yang Yu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At present, the increasingly serious air pollution in various cities of China has made people pay more attention to the air quality index(hereinafter referred to as AQI) of their living areas. To face this situation, it is of great significance to predict air pollution in heavily polluted areas. In this paper, based on the time series model of LSTM, a spatiotemporal prediction model of PM2.5 concentration in Mianyang, Sichuan Province, is established. The model fully considers the temporal variability and spatial distribution characteristics of PM2.5 concentration. The spatial correlation of air quality at different locations is based on the Air quality status of other nearby monitoring stations, including AQI and meteorological data to predict the air quality of a monitoring station. The experimental results show that the method has good prediction accuracy that the fitting degree with the actual measured data reaches more than 0.7, which can be applied to the modeling and prediction of the spatial and temporal distribution of regional PM2.5 concentration. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LSTM" title="LSTM">LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=PM2.5" title=" PM2.5"> PM2.5</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=spatio-temporal%20prediction" title=" spatio-temporal prediction"> spatio-temporal prediction</a> </p> <a href="https://publications.waset.org/abstracts/147644/research-on-air-pollution-spatiotemporal-forecast-model-based-on-lstm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147644.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">134</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">25187</span> Spatiotemporal Analysis of Land Surface Temperature and Urban Heat Island Evaluation of Four Metropolitan Areas of Texas, USA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chunhong%20Zhao">Chunhong Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Remotely sensed land surface temperature (LST) is vital to understand the land-atmosphere energy balance, hydrological cycle, and thus is widely used to describe the urban heat island (UHI) phenomenon. However, due to technical constraints, satellite thermal sensors are unable to provide LST measurement with both high spatial and high temporal resolution. Despite different downscaling techniques and algorithms to generate high spatiotemporal resolution LST. Four major metropolitan areas in Texas, USA: Dallas-Fort Worth, Houston, San Antonio, and Austin all demonstrate UHI effects. Different cities are expected to have varying SUHI effect during the urban development trajectory. With the help of the Landsat, ASTER, and MODIS archives, this study focuses on the spatial patterns of UHIs and the seasonal and annual variation of these metropolitan areas. With Gaussian model, and Local Indicators of Spatial Autocorrelations (LISA), as well as data fusion methods, this study identifies the hotspots and the trajectory of the UHI phenomenon of the four cities. By making comparison analysis, the result can help to alleviate the advent effect of UHI and formulate rational urban planning in the long run. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20analysis" title="spatiotemporal analysis">spatiotemporal analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20surface%20temperature" title=" land surface temperature"> land surface temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20heat%20island%20evaluation" title=" urban heat island evaluation"> urban heat island evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=metropolitan%20areas%20of%20Texas" title=" metropolitan areas of Texas"> metropolitan areas of Texas</a>, <a href="https://publications.waset.org/abstracts/search?q=USA" title=" USA"> USA</a> </p> <a href="https://publications.waset.org/abstracts/62226/spatiotemporal-analysis-of-land-surface-temperature-and-urban-heat-island-evaluation-of-four-metropolitan-areas-of-texas-usa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62226.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">417</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">25186</span> Designing and Implementing a Tourist-Guide Web Service Based on Volunteer Geographic Information Using Open-Source Technologies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Javad%20Sadidi">Javad Sadidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Babaei"> Ehsan Babaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Hani%20Rezayan"> Hani Rezayan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The advent of web 2.0 gives a possibility to scale down the costs of data collection and mapping, specifically if the process is done by volunteers. Every volunteer can be thought of as a free and ubiquitous sensor to collect spatial, descriptive as well as multimedia data for tourist services. The lack of large-scale information, such as real-time climate and weather conditions, population density, and other related data, can be considered one of the important challenges in developing countries for tourists to make the best decision in terms of time and place of travel. The current research aims to design and implement a spatiotemporal web map service using volunteer-submitted data. The service acts as a tourist-guide service in which tourists can search interested places based on their requested time for travel. To design the service, three tiers of architecture, including data, logical processing, and presentation tiers, have been utilized. For implementing the service, open-source software programs, client and server-side programming languages (such as OpenLayers2, AJAX, and PHP), Geoserver as a map server, and Web Feature Service (WFS) standards have been used. The result is two distinct browser-based services, one for sending spatial, descriptive, and multimedia volunteer data and another one for tourists and local officials. Local official confirms the veracity of the volunteer-submitted information. In the tourist interface, a spatiotemporal search engine has been designed to enable tourists to find a tourist place based on province, city, and location at a specific time of interest. Implementing the tourist-guide service by this methodology causes the following: the current tourists participate in a free data collection and sharing process for future tourists, a real-time data sharing and accessing for all, avoiding a blind selection of travel destination and significantly, decreases the cost of providing such services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=VGI" title="VGI">VGI</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism" title=" tourism"> tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal" title=" spatiotemporal"> spatiotemporal</a>, <a href="https://publications.waset.org/abstracts/search?q=browser-based" title=" browser-based"> browser-based</a>, <a href="https://publications.waset.org/abstracts/search?q=web%20mapping" title=" web mapping"> web mapping</a> </p> <a href="https://publications.waset.org/abstracts/163033/designing-and-implementing-a-tourist-guide-web-service-based-on-volunteer-geographic-information-using-open-source-technologies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163033.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">98</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">25185</span> Spatiotemporal Community Detection and Analysis of Associations among Overlapping Communities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=JooYoung%20Lee">JooYoung Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Rasheed%20Hussain"> Rasheed Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding the relationships among communities of users is the key to blueprint the evolution of human society. Majority of people are equipped with GPS devices, such as smart phones and smart cars, which can trace their whereabouts. In this paper, we discover communities of device users based on real locations in a given time frame. We, then, study the associations of discovered communities, referred to as temporal communities, and generate temporal and probabilistic association rules. The rules describe how strong communities are associated. By studying the generated rules, we can automatically extract underlying hierarchies of communities and permanent communities such as work places. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=association%20rules" title="association rules">association rules</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20detection" title=" community detection"> community detection</a>, <a href="https://publications.waset.org/abstracts/search?q=evolution%20of%20communities" title=" evolution of communities"> evolution of communities</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal" title=" spatiotemporal"> spatiotemporal</a> </p> <a href="https://publications.waset.org/abstracts/62840/spatiotemporal-community-detection-and-analysis-of-associations-among-overlapping-communities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62840.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">369</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">25184</span> Analyzing of the Urban Landscape Configurations and Expansion of Dire Dawa City, Ethiopia Using Satellite Data and Landscape Metrics Approaches</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Berhanu%20Keno%20Terfa">Berhanu Keno Terfa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To realize the consequences of urbanization, accurate, and up-to-date representation of the urban landscape patterns is critical for urban planners and policymakers. Thus, the study quantitatively characterized the spatiotemporal composition and configuration of the urban landscape and urban expansion process in Dire Dawa City, Ethiopia, form the year 2006 to 2018. The integrated approaches of various sensors satellite data, Spot (2006) and Sentinel 2 (2018) combined with landscape metrics analysis was employed to explore the pattern, process, and overall growth status in the city. The result showed that the built-up area had increased by 62% between 2006 and 2018, at an average annual increment of 3.6%, while the other land covers were lost significantly due to urban expansion. The highest urban expansion has occurred in the northwest direction, whereas the most fragmented landscape pattern was recorded in the west direction. Overall, the analysis showed that Dire Dawa City experienced accelerated urban expansion with a fragmented and complicated spatiotemporal urban landscape patterns, suggesting a strong tendency towards sprawl over the past 12 years. The findings in the study could help planners and policy developers to insight the historical dynamics of the urban region for sustainable development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=zonal%20metrics" title="zonal metrics">zonal metrics</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-temporal" title=" multi-temporal"> multi-temporal</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-resolution" title=" multi-resolution"> multi-resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20growth" title=" urban growth"> urban growth</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing%20data" title=" remote sensing data"> remote sensing data</a> </p> <a href="https://publications.waset.org/abstracts/102534/analyzing-of-the-urban-landscape-configurations-and-expansion-of-dire-dawa-city-ethiopia-using-satellite-data-and-landscape-metrics-approaches" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102534.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">200</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">25183</span> Spatiotemporal Propagation and Pattern of Epileptic Spike Predict Seizure Onset Zone</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mostafa%20Mohammadpour">Mostafa Mohammadpour</a>, <a href="https://publications.waset.org/abstracts/search?q=Christoph%20Kapeller"> Christoph Kapeller</a>, <a href="https://publications.waset.org/abstracts/search?q=Christy%20Li"> Christy Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Josef%20Scharinger"> Josef Scharinger</a>, <a href="https://publications.waset.org/abstracts/search?q=Christoph%20Guger"> Christoph Guger</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Interictal spikes provide valuable information on electrocorticography (ECoG), which aids in surgical planning for patients who suffer from refractory epilepsy. However, the shape and temporal dynamics of these spikes remain unclear. The purpose of this work was to analyze the shape of interictal spikes and measure their distance to the seizure onset zone (SOZ) to use in epilepsy surgery. Thirteen patients' data from the iEEG portal were retrospectively studied. For analysis, half an hour of ECoG data was used from each patient, with the data being truncated before the onset of a seizure. Spikes were first detected and grouped in a sequence, then clustered into interictal epileptiform discharges (IEDs) and non-IED groups using two-step clustering. The distance of the spikes from IED and non-IED groups to SOZ was quantified and compared using the Wilcoxon rank-sum test. Spikes in the IED group tended to be in SOZ or close to it, while spikes in the non-IED group were in distance of SOZ or non-SOZ area. At the group level, the distribution for sharp wave, positive baseline shift, slow wave, and slow wave to sharp wave ratio was significantly different for IED and non-IED groups. The distance of the IED cluster was 10.00mm and significantly closer to the SOZ than the 17.65mm for non-IEDs. These findings provide insights into the shape and spatiotemporal dynamics of spikes that could influence the network mechanisms underlying refractory epilepsy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spike%20propagation" title="spike propagation">spike propagation</a>, <a href="https://publications.waset.org/abstracts/search?q=spike%20pattern" title=" spike pattern"> spike pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=SOZ" title=" SOZ"> SOZ</a> </p> <a href="https://publications.waset.org/abstracts/176533/spatiotemporal-propagation-and-pattern-of-epileptic-spike-predict-seizure-onset-zone" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176533.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">65</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">25182</span> Spatiotemporal Modeling of Under-Five Mortality and Associated Risk Factors in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Melkamu%20A.%20Zeru">Melkamu A. Zeru</a>, <a href="https://publications.waset.org/abstracts/search?q=Aweke%20A.%20Mitiku"> Aweke A. Mitiku</a>, <a href="https://publications.waset.org/abstracts/search?q=Endashaw%20Amuka"> Endashaw Amuka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Under-five mortality is the likelihood that a baby will pass away before turning exactly 5 years old, represented as a percentage per 1,000 live births. Exploring the spatial distribution and identifying the temporal pattern is important to reducing under-five child mortality globally, including in Ethiopia. Thus, this study aimed to identify the risk factors of under-five mortality and the spatiotemporal variation in Ethiopian administrative zones. Method: This study used the 2000-2016 Ethiopian Demographic and Health Survey (EDHS) data, which were collected using a two-stage sampling method. A total of 43,029 (10,873 in 2000, 9,861 in 2005, 11,654 in 2011, and 10,641 in 2016) weighted sample under-five child mortality was used. The space-time dynamic model was employed to account for spatial and time effects in 65 administrative zones in Ethiopia. Results: From the result of a general nesting spatial-temporal dynamic model, there was a significant space-time interaction effect [γ = -0.1444, 95 % CI (-0.6680, -0.1355)] for under-five mortality. The increase in the percentages of mothers illiteracy [𝛽 = 0.4501, 95% CI (0.2442, 0.6559)], not vaccinated[𝛽= 0.7681, 95% CI (0.5683, 0.9678)], unimproved water[𝛽= 0.5801, CI (0.3793, 0.7808)] were increased death rates for under five children while increased percentage of contraceptive use [𝛽= -0.6609, 95% CI (-0.8636, -0.4582)] and ANC visit > 4 times [𝛽= -0.1585, 95% CI(-0.1812, -0.1357)] were contributed to the decreased under-five mortality rate at the zone in Ethiopia. Conclusions: Even though the mortality rate for children under five has decreased over time, still there is still higher in different zones of Ethiopia. There exists spatial and temporal variation in under-five mortality among zones. Therefore, it is very important to consider spatial neighbourhoods and temporal context when aiming to avoid under-five mortality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=under-five%20children%20mortality" title="under-five children mortality">under-five children mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=space-time%20dynamic" title=" space-time dynamic"> space-time dynamic</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal" title=" spatiotemporal"> spatiotemporal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopia" title=" Ethiopia"> Ethiopia</a> </p> <a href="https://publications.waset.org/abstracts/187157/spatiotemporal-modeling-of-under-five-mortality-and-associated-risk-factors-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187157.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">38</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">25181</span> Creating Risk Maps on the Spatiotemporal Occurrence of Agricultural Insecticides in Sub-Saharan Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chantal%20Hendriks">Chantal Hendriks</a>, <a href="https://publications.waset.org/abstracts/search?q=Harry%20Gibson"> Harry Gibson</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Trett"> Anna Trett</a>, <a href="https://publications.waset.org/abstracts/search?q=Penny%20Hancock"> Penny Hancock</a>, <a href="https://publications.waset.org/abstracts/search?q=Catherine%20Moyes"> Catherine Moyes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of modern inputs for crop protection, such as insecticides, is strongly underestimated in Sub-Saharan Africa. Several studies measured toxic concentrations of insecticides in fruits, vegetables and fish that were cultivated in Sub-Saharan Africa. The use of agricultural insecticides has impact on human and environmental health, but it also has the potential to impact on insecticide resistance in malaria transmitting mosquitos. To analyse associations between historic use of agricultural insecticides and the distribution of insecticide resistance through space and time, the use and environmental fate of agricultural insecticides needs to be mapped through the same time period. However, data on the use and environmental fate of agricultural insecticides in Africa are limited and therefore risk maps on the spatiotemporal occurrence of agricultural insecticides are created using environmental data. Environmental data on crop density and crop type were used to select the areas that most likely receive insecticides. These areas were verified by a literature review and expert knowledge. Pesticide fate models were compared to select most dominant processes that are involved in the environmental fate of insecticides and that can be mapped at a continental scale. The selected processes include: surface runoff, erosion, infiltration, volatilization and the storing and filtering capacity of soils. The processes indicate the risk for insecticide accumulation in soil, water, sediment and air. A compilation of all available data for traces of insecticides in the environment was used to validate the maps. The risk maps can result in space and time specific measures that reduce the risk of insecticide exposure to non-target organisms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop%20protection" title="crop protection">crop protection</a>, <a href="https://publications.waset.org/abstracts/search?q=pesticide%20fate" title=" pesticide fate"> pesticide fate</a>, <a href="https://publications.waset.org/abstracts/search?q=tropics" title=" tropics"> tropics</a>, <a href="https://publications.waset.org/abstracts/search?q=insecticide%20resistance" title=" insecticide resistance"> insecticide resistance</a> </p> <a href="https://publications.waset.org/abstracts/99182/creating-risk-maps-on-the-spatiotemporal-occurrence-of-agricultural-insecticides-in-sub-saharan-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99182.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">141</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">25180</span> Spatial Patterns and Temporal Evolution of Octopus Abundance in the Mauritanian Zone</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dedah%20Ahmed%20Babou">Dedah Ahmed Babou</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicolas%20Bez"> Nicolas Bez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Min-Max autocorrelation factor (MAF) approach makes it possible to express in a space formed by spatially independent factors, spatiotemporal observations. These factors are ordered in decreasing order of spatial autocorrelation. The starting observations are thus expressed in the space formed by these factors according to temporal coordinates. Each vector of temporal coefficients expresses the temporal evolution of the weight of the corresponding factor. Applying this approach has enabled us to achieve the following results: (i) Define a spatially orthogonal space in which the projections of the raw data are determined; (ii) Define a limit threshold for the factors with the strongest structures in order to analyze the weight, and the temporal evolution of these different structures (iii) Study the correlation between the temporal evolution of the persistent spatial structures and that of the observed average abundance (iv) Propose prototypes of campaigns reflecting a high vs. low abundance (v) Propose a classification of campaigns that highlights seasonal and/or temporal similarities. These results were obtained by analyzing the octopus yield during the scientific campaigns of the oceanographic vessel Al Awam during the period 1989-2017 in the Mauritanian exclusive economic zone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal" title="spatiotemporal ">spatiotemporal </a>, <a href="https://publications.waset.org/abstracts/search?q=autocorrelation" title=" autocorrelation"> autocorrelation</a>, <a href="https://publications.waset.org/abstracts/search?q=kriging" title=" kriging"> kriging</a>, <a href="https://publications.waset.org/abstracts/search?q=variogram" title=" variogram"> variogram</a>, <a href="https://publications.waset.org/abstracts/search?q=Octopus%20vulgaris" title=" Octopus vulgaris"> Octopus vulgaris</a> </p> <a href="https://publications.waset.org/abstracts/134284/spatial-patterns-and-temporal-evolution-of-octopus-abundance-in-the-mauritanian-zone" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134284.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">147</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">25179</span> The Study of the Socio-Economic and Environmental Impact on the Semi-Arid Environments Using GIS in the Eastern Aurès, Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benmessaoud%20Hassen">Benmessaoud Hassen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose in this study to address the impact of socio-economic and environmental impact on the physical environment, especially their spatiotemporal dynamics in semi-arid and arid eastern Aurès. Including 11 municipalities, the study area spreads out over a relatively large surface area of about 60.000 ha. The hindsight is quite important and is determined by 03 days of analysis of environmental variation spread over thirty years (between 1987 and 2007). The multi-source data acquired in this context are integrated into a geographic information system (GIS).This allows, among other indices to calculate areas and classes for each thematic layer of the 4 layers previously defined by a method inspired MEDALUS (Mediterranean Desertification and Land Use).The database created is composed of four layers of information (population, livestock, farming and land use). His analysis in space and time has been supplemented by a validation of the ground truth. Once the database has corrected it used to develop the comprehensive map with the calculation of the index of socio-economic and environmental (ISCE). The map supports and the resulting information does not consist only of figures on the present situation but could be used to forecast future trends. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=impact%20of%20socio-economic%20and%20environmental" title="impact of socio-economic and environmental">impact of socio-economic and environmental</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20dynamics" title=" spatiotemporal dynamics"> spatiotemporal dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=semi-arid%20environments" title=" semi-arid environments"> semi-arid environments</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=Eastern%20Aur%C3%A8s" title=" Eastern Aurès"> Eastern Aurès</a> </p> <a href="https://publications.waset.org/abstracts/34965/the-study-of-the-socio-economic-and-environmental-impact-on-the-semi-arid-environments-using-gis-in-the-eastern-aures-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34965.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">325</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">25178</span> An Impairment of Spatiotemporal Gait Adaptation in Huntington's Disease when Navigating around Obstacles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naznine%20Anwar">Naznine Anwar</a>, <a href="https://publications.waset.org/abstracts/search?q=Kim%20Cornish"> Kim Cornish</a>, <a href="https://publications.waset.org/abstracts/search?q=Izelle%20Labuschagne"> Izelle Labuschagne</a>, <a href="https://publications.waset.org/abstracts/search?q=Nellie%20Georgiou-Karistianis"> Nellie Georgiou-Karistianis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Falls and subsequent injuries are common features in symptomatic Huntington’s disease (symp-HD) individuals. As part of daily walking, navigating around obstacles may incur a greater risk of falls in symp-HD. We designed obstacle-crossing experiment to examine adaptive gait dynamics and to identify underlying spatiotemporal gait characteristics that could increase the risk of falling in symp-HD. This experiment involved navigating around one or two ground-based obstacles under two conditions (walking while navigating around one obstacle, and walking while navigating around two obstacles). A total of 32 participants were included, 16 symp-HD and 16 healthy controls with age and sex matched. We used a GAITRite electronic walkway to examine the spatiotemporal gait characteristics and inter-trail gait variability when participants walked at their preferable speed. A minimum of six trials were completed which were performed for baseline free walk and also for each and every condition during navigating around the obstacles. For analysis, we separated all walking steps into three phases as approach steps, navigating steps and recovery steps. The mean and inter-trail variability (within participant standard deviation) for each step gait variable was calculated across the six trails. We found symp-HD individuals significantly decreased their gait velocity and step length and increased step duration variability during the navigating steps and recovery steps compared with approach steps. In contrast, HC individuals showed less difference in gait velocity, step time and step length variability from baseline in both respective conditions as well as all three approaches. These findings indicate that increasing spatiotemporal gait variability may be a possible compensatory strategy that is adopted by symp-HD individuals to effectively navigate obstacles during walking. Such findings may offer benefit to clinicians in the development of strategies for HD individuals to improve functional outcomes in the home and hospital based rehabilitation program. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Huntington%E2%80%99s%20disease" title="Huntington’s disease">Huntington’s disease</a>, <a href="https://publications.waset.org/abstracts/search?q=gait%20variables" title=" gait variables"> gait variables</a>, <a href="https://publications.waset.org/abstracts/search?q=navigating%20around%20obstacle" title=" navigating around obstacle"> navigating around obstacle</a>, <a href="https://publications.waset.org/abstracts/search?q=basal%20ganglia%20dysfunction" title=" basal ganglia dysfunction"> basal ganglia dysfunction</a> </p> <a href="https://publications.waset.org/abstracts/32945/an-impairment-of-spatiotemporal-gait-adaptation-in-huntingtons-disease-when-navigating-around-obstacles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32945.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">443</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">25177</span> Investigating Seasonal Changes of Urban Land Cover with High Spatio-Temporal Resolution Satellite Data via Image Fusion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hantian%20Wu">Hantian Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Bo%20Huang"> Bo Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Zeng"> Yuan Zeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Divisions between wealthy and poor, private and public landscapes are propagated by the increasing economic inequality of cities. While these are the spatial reflections of larger social issues and problems, urban design can at least employ spatial techniques that promote more inclusive rather than exclusive, overlapping rather than segregated, interlinked rather than disconnected landscapes. Indeed, the type of edge or border between urban landscapes plays a critical role in the way the environment is perceived. China experiences rapid urbanization, which poses unpredictable environmental challenges. The urban green cover and water body are under changes, which highly relevant to resident wealth and happiness. However, very limited knowledge and data on their rapid changes are available. In this regard, enhancing the monitoring of urban landscape with high-frequency method, evaluating and estimating the impacts of the urban landscape changes, and understating the driving forces of urban landscape changes can be a significant contribution for urban planning and studying. High-resolution remote sensing data has been widely applied to urban management in China. The map of urban land use map for the entire China of 2018 with 10 meters resolution has been published. However, this research focuses on the large-scale and high-resolution remote sensing land use but does not precisely focus on the seasonal change of urban covers. High-resolution remote sensing data has a long-operation cycle (e.g., Landsat 8 required 16 days for the same location), which is unable to satisfy the requirement of monitoring urban-landscape changes. On the other hand, aerial-remote or unmanned aerial vehicle (UAV) sensing are limited by the aviation-regulation and cost was hardly widely applied in the mega-cities. Moreover, those data are limited by the climate and weather conditions (e.g., cloud, fog), and those problems make capturing spatial and temporal dynamics is always a challenge for the remote sensing community. Particularly, during the rainy season, no data are available even for Sentinel Satellite data with 5 days interval. Many natural events and/or human activities drive the changes of urban covers. In this case, enhancing the monitoring of urban landscape with high-frequency method, evaluating and estimating the impacts of the urban landscape changes, and understanding the mechanism of urban landscape changes can be a significant contribution for urban planning and studying. This project aims to use the high spatiotemporal fusion of remote sensing data to create short-cycle, high-resolution remote sensing data sets for exploring the high-frequently urban cover changes. This research will enhance the long-term monitoring applicability of high spatiotemporal fusion of remote sensing data for the urban landscape for optimizing the urban management of landscape border to promoting the inclusive of the urban landscape to all communities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20land%20cover%20changes" title="urban land cover changes">urban land cover changes</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=high%20spatiotemporal%20fusion" title=" high spatiotemporal fusion"> high spatiotemporal fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20management" title=" urban management"> urban management</a> </p> <a href="https://publications.waset.org/abstracts/129767/investigating-seasonal-changes-of-urban-land-cover-with-high-spatio-temporal-resolution-satellite-data-via-image-fusion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129767.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">125</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">25176</span> Modeling Activity Pattern Using XGBoost for Mining Smart Card Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eui-Jin%20Kim">Eui-Jin Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasik%20Lee"> Hasik Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Su-Jin%20Park"> Su-Jin Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Dong-Kyu%20Kim"> Dong-Kyu Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Smart-card data are expected to provide information on activity pattern as an alternative to conventional person trip surveys. The focus of this study is to propose a method for training the person trip surveys to supplement the smart-card data that does not contain the purpose of each trip. We selected only available features from smart card data such as spatiotemporal information on the trip and geographic information system (GIS) data near the stations to train the survey data. XGboost, which is state-of-the-art tree-based ensemble classifier, was used to train data from multiple sources. This classifier uses a more regularized model formalization to control the over-fitting and show very fast execution time with well-performance. The validation results showed that proposed method efficiently estimated the trip purpose. GIS data of station and duration of stay at the destination were significant features in modeling trip purpose. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=activity%20pattern" title="activity pattern">activity pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20fusion" title=" data fusion"> data fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=smart-card" title=" smart-card"> smart-card</a>, <a href="https://publications.waset.org/abstracts/search?q=XGboost" title=" XGboost"> XGboost</a> </p> <a href="https://publications.waset.org/abstracts/80202/modeling-activity-pattern-using-xgboost-for-mining-smart-card-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80202.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">246</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">25175</span> Attention-Based Spatio-Temporal Approach for Fire and Smoke Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Mirrashid">Alireza Mirrashid</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Khoshbin"> Mohammad Khoshbin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Atghaei"> Ali Atghaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Shahbazi"> Hassan Shahbazi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In various industries, smoke and fire are two of the most important threats in the workplace. One of the common methods for detecting smoke and fire is the use of infrared thermal and smoke sensors, which cannot be used in outdoor applications. Therefore, the use of vision-based methods seems necessary. The problem of smoke and fire detection is spatiotemporal and requires spatiotemporal solutions. This paper presents a method that uses spatial features along with temporal-based features to detect smoke and fire in the scene. It consists of three main parts; the task of each part is to reduce the error of the previous part so that the final model has a robust performance. This method also uses transformer modules to increase the accuracy of the model. The results of our model show the proper performance of the proposed approach in solving the problem of smoke and fire detection and can be used to increase workplace safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attention" title="attention">attention</a>, <a href="https://publications.waset.org/abstracts/search?q=fire%20detection" title=" fire detection"> fire detection</a>, <a href="https://publications.waset.org/abstracts/search?q=smoke%20detection" title=" smoke detection"> smoke detection</a>, <a href="https://publications.waset.org/abstracts/search?q=spatio-temporal" title=" spatio-temporal"> spatio-temporal</a> </p> <a href="https://publications.waset.org/abstracts/153248/attention-based-spatio-temporal-approach-for-fire-and-smoke-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153248.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">203</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">25174</span> A Decadal Flood Assessment Using Time-Series Satellite Data in Cambodia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nguyen-Thanh%20Son">Nguyen-Thanh Son</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Flood is among the most frequent and costliest natural hazards. The flood disasters especially affect the poor people in rural areas, who are heavily dependent on agriculture and have lower incomes. Cambodia is identified as one of the most climate-vulnerable countries in the world, ranked 13th out of 181 countries most affected by the impacts of climate change. Flood monitoring is thus a strategic priority at national and regional levels because policymakers need reliable spatial and temporal information on flood-prone areas to form successful monitoring programs to reduce possible impacts on the country’s economy and people’s likelihood. This study aims to develop methods for flood mapping and assessment from MODIS data in Cambodia. We processed the data for the period from 2000 to 2017, following three main steps: (1) data pre-processing to construct smooth time-series vegetation and water surface indices, (2) delineation of flood-prone areas, and (3) accuracy assessment. The results of flood mapping were verified with the ground reference data, indicating the overall accuracy of 88.7% and a Kappa coefficient of 0.77, respectively. These results were reaffirmed by close agreement between the flood-mapping area and ground reference data, with the correlation coefficient of determination (R²) of 0.94. The seasonally flooded areas observed for 2010, 2015, and 2016 were remarkably smaller than other years, mainly attributed to the El Niño weather phenomenon exacerbated by impacts of climate change. Eventually, although several sources potentially lowered the mapping accuracy of flood-prone areas, including image cloud contamination, mixed-pixel issues, and low-resolution bias between the mapping results and ground reference data, our methods indicated the satisfactory results for delineating spatiotemporal evolutions of floods. The results in the form of quantitative information on spatiotemporal flood distributions could be beneficial to policymakers in evaluating their management strategies for mitigating the negative effects of floods on agriculture and people’s likelihood in the country. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MODIS" title="MODIS">MODIS</a>, <a href="https://publications.waset.org/abstracts/search?q=flood" title=" flood"> flood</a>, <a href="https://publications.waset.org/abstracts/search?q=mapping" title=" mapping"> mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=Cambodia" title=" Cambodia"> Cambodia</a> </p> <a href="https://publications.waset.org/abstracts/113280/a-decadal-flood-assessment-using-time-series-satellite-data-in-cambodia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113280.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">126</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">25173</span> An Exploratory Analysis of Brisbane's Commuter Travel Patterns Using Smart Card Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ming%20Wei">Ming Wei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past two decades, Location Based Service (LBS) data have been increasingly applied to urban and transportation studies due to their comprehensiveness and consistency. However, compared to other LBS data including mobile phone data, GPS and social networking platforms, smart card data collected from public transport users have arguably yet to be fully exploited in urban systems analysis. By using five weekdays of passenger travel transaction data taken from go card – Southeast Queensland’s transit smart card – this paper analyses the spatiotemporal distribution of passenger movement with regard to the land use patterns in Brisbane. Work and residential places for public transport commuters were identified after extracting journeys-to-work patterns. Our results show that the locations of the workplaces identified from the go card data and residential suburbs are largely consistent with those that were marked in the land use map. However, the intensity for some residential locations in terms of population or commuter densities do not match well between the map and those derived from the go card data. This indicates that the misalignment between residential areas and workplaces to a certain extent, shedding light on how enhancements to service management and infrastructure expansion might be undertaken. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20card%20data" title=" smart card data"> smart card data</a>, <a href="https://publications.waset.org/abstracts/search?q=travel%20pattern" title=" travel pattern"> travel pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use" title=" land use"> land use</a> </p> <a href="https://publications.waset.org/abstracts/54782/an-exploratory-analysis-of-brisbanes-commuter-travel-patterns-using-smart-card-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54782.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">285</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">25172</span> Treatment and Diagnostic Imaging Methods of Fetal Heart Function in Radiology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahdi%20Farajzadeh%20Ajirlou">Mahdi Farajzadeh Ajirlou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Prior evidence of normal cardiac anatomy is desirable to relieve the anxiety of cases with a family history of congenital heart disease or to offer the option of early gestation termination or close follow-up should a cardiac anomaly be proved. Fetal heart discovery plays an important part in the opinion of the fetus, and it can reflect the fetal heart function of the fetus, which is regulated by the central nervous system. Acquisition of ventricular volume and inflow data would be useful to quantify more valve regurgitation and ventricular function to determine the degree of cardiovascular concession in fetal conditions at threat for hydrops fetalis. This study discusses imaging the fetal heart with transvaginal ultrasound, Doppler ultrasound, three-dimensional ultrasound (3DUS) and four-dimensional (4D) ultrasound, spatiotemporal image correlation (STIC), glamorous resonance imaging and cardiac catheterization. Doppler ultrasound (DUS) image is a kind of real- time image with a better imaging effect on blood vessels and soft tissues. DUS imaging can observe the shape of the fetus, but it cannot show whether the fetus is hypoxic or distressed. Spatiotemporal image correlation (STIC) enables the acquisition of a volume of data concomitant with the beating heart. The automated volume accession is made possible by the array in the transducer performing a slow single reach, recording a single 3D data set conforming to numerous 2D frames one behind the other. The volume accession can be done in a stationary 3D, either online 4D (direct volume scan, live 3D ultrasound or a so-called 4D (3D/ 4D)), or either spatiotemporal image correlation-STIC (off-line 4D, which is a circular volume check-up). Fetal cardiovascular MRI would appear to be an ideal approach to the noninvasive disquisition of the impact of abnormal cardiovascular hemodynamics on antenatal brain growth and development. Still, there are practical limitations to the use of conventional MRI for fetal cardiovascular assessment, including the small size and high heart rate of the mortal fetus, the lack of conventional cardiac gating styles to attend data accession, and the implicit corruption of MRI data due to motherly respiration and unpredictable fetal movements. Fetal cardiac MRI has the implicit to complement ultrasound in detecting cardiovascular deformations and extracardiac lesions. Fetal cardiac intervention (FCI), minimally invasive catheter interventions, is a new and evolving fashion that allows for in-utero treatment of a subset of severe forms of congenital heart deficiency. In special cases, it may be possible to modify the natural history of congenital heart disorders. It's entirely possible that future generations will ‘repair’ congenital heart deficiency in utero using nanotechnologies or remote computer-guided micro-robots that work in the cellular layer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fetal" title="fetal">fetal</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiac%20MRI" title=" cardiac MRI"> cardiac MRI</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasound" title=" ultrasound"> ultrasound</a>, <a href="https://publications.waset.org/abstracts/search?q=3D" title=" 3D"> 3D</a>, <a href="https://publications.waset.org/abstracts/search?q=4D" title=" 4D"> 4D</a>, <a href="https://publications.waset.org/abstracts/search?q=heart%20disease" title=" heart disease"> heart disease</a>, <a href="https://publications.waset.org/abstracts/search?q=invasive" title=" invasive"> invasive</a>, <a href="https://publications.waset.org/abstracts/search?q=noninvasive" title=" noninvasive"> noninvasive</a>, <a href="https://publications.waset.org/abstracts/search?q=catheter" title=" catheter"> catheter</a> </p> <a href="https://publications.waset.org/abstracts/187696/treatment-and-diagnostic-imaging-methods-of-fetal-heart-function-in-radiology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187696.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">40</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">25171</span> Unsteady Three-Dimensional Adaptive Spatial-Temporal Multi-Scale Direct Simulation Monte Carlo Solver to Simulate Rarefied Gas Flows in Micro/Nano Devices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mirvat%20Shamseddine">Mirvat Shamseddine</a>, <a href="https://publications.waset.org/abstracts/search?q=Issam%20Lakkis"> Issam Lakkis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present an efficient, three-dimensional parallel multi-scale Direct Simulation Monte Carlo (DSMC) algorithm for the simulation of unsteady rarefied gas flows in micro/nanosystems. The algorithm employs a novel spatiotemporal adaptivity scheme. The scheme performs a fully dynamic multi-level grid adaption based on the gradients of flow macro-parameters and an automatic temporal adaptation. The computational domain consists of a hierarchical octree-based Cartesian grid representation of the flow domain and a triangular mesh for the solid object surfaces. The hybrid mesh, combined with the spatiotemporal adaptivity scheme, allows for increased flexibility and efficient data management, rendering the framework suitable for efficient particle-tracing and dynamic grid refinement and coarsening. The parallel algorithm is optimized to run DSMC simulations of strongly unsteady, non-equilibrium flows over multiple cores. The presented method is validated by comparing with benchmark studies and then employed to improve the design of micro-scale hotwire thermal sensors in rarefied gas flows. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DSMC" title="DSMC">DSMC</a>, <a href="https://publications.waset.org/abstracts/search?q=oct-tree%20hierarchical%20grid" title=" oct-tree hierarchical grid"> oct-tree hierarchical grid</a>, <a href="https://publications.waset.org/abstracts/search?q=ray%20tracing" title=" ray tracing"> ray tracing</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial-temporal%20adaptivity%20scheme" title=" spatial-temporal adaptivity scheme"> spatial-temporal adaptivity scheme</a>, <a href="https://publications.waset.org/abstracts/search?q=unsteady%20rarefied%20gas%20flows" title=" unsteady rarefied gas flows"> unsteady rarefied gas flows</a> </p> <a href="https://publications.waset.org/abstracts/96192/unsteady-three-dimensional-adaptive-spatial-temporal-multi-scale-direct-simulation-monte-carlo-solver-to-simulate-rarefied-gas-flows-in-micronano-devices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96192.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">299</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">25170</span> Aerosol - Cloud Interaction with Summer Precipitation over Major Cities in Eritrea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Abraham%20Berhane">Samuel Abraham Berhane</a>, <a href="https://publications.waset.org/abstracts/search?q=Lingbing%20Bu"> Lingbing Bu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the spatiotemporal variability of aerosols, clouds, and precipitation within the major cities in Eritrea and it investigates the relationship between aerosols, clouds, and precipitation concerning the presence of aerosols over the study region. In Eritrea, inadequate water supplies will have both direct and indirect adverse impacts on sustainable development in areas such as health, agriculture, energy, communication, and transport. Besides, there exists a gap in the knowledge on suitable and potential areas for cloud seeding. Further, the inadequate understanding of aerosol-cloud-precipitation (ACP) interactions limits the success of weather modification aimed at improving freshwater sources, storage, and recycling. Spatiotemporal variability of aerosols, clouds, and precipitation involve spatial and time series analysis based on trend and anomaly analysis. To find the relationship between aerosols and clouds, a correlation coefficient is used. The spatiotemporal analysis showed larger variations of aerosols within the last two decades, especially in Assab, indicating that aerosol optical depth (AOD) has increased over the surrounding Red Sea region. Rainfall was significantly low but AOD was significantly high during the 2011 monsoon season. Precipitation was high during 2007 over most parts of Eritrea. The correlation coefficient between AOD and rainfall was negative over Asmara and Nakfa. Cloud effective radius (CER) and cloud optical thickness (COT) exhibited a negative correlation with AOD over Nakfa within the June–July–August (JJA) season. The hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model that is used to find the path and origin of the air mass of the study region showed that the majority of aerosols made their way to the study region via the westerly and the southwesterly winds. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aerosol-cloud-precipitation" title="aerosol-cloud-precipitation">aerosol-cloud-precipitation</a>, <a href="https://publications.waset.org/abstracts/search?q=aerosol%20optical%20depth" title=" aerosol optical depth"> aerosol optical depth</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20effective%20radius" title=" cloud effective radius"> cloud effective radius</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20optical%20thickness" title=" cloud optical thickness"> cloud optical thickness</a>, <a href="https://publications.waset.org/abstracts/search?q=HYSPLIT" title=" HYSPLIT"> HYSPLIT</a> </p> <a href="https://publications.waset.org/abstracts/148138/aerosol-cloud-interaction-with-summer-precipitation-over-major-cities-in-eritrea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148138.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">25169</span> An Analysis of Relation Between Soil Radon Anomalies and Geological Environment Change</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mengdi%20Zhang">Mengdi Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xufeng%20Liu"> Xufeng Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenji%20Gao"> Zhenji Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Ying%20Li"> Ying Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhu%20Rao"> Zhu Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi%20Huang"> Yi Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As an open system, the earth is constantly undergoing the transformation and release of matter and energy. Fault zones are relatively discontinuous and fragile geological structures, and the release of material and energy inside the Earth is strongest in relatively weak fault zones. Earthquake events frequently occur in fault zones and are closely related to tectonic activity in these zones. In earthquake precursor observation, monitoring the spatiotemporal changes in the release of related gases near fault zones (such as radon gas, hydrogen, carbon dioxide, helium), and analyzing earthquake precursor anomalies, can be effective means to forecast the occurrence of earthquake events. Radon gas, as an inert radioactive gas generated during the decay of uranium and thorium, is not only a indicator for monitoring tectonic and seismic activity, but also an important topic for ecological and environmental health, playing a crucial role in uranium exploration. At present, research on soil radon gas mainly focuses on the measurement of soil gas concentration and flux in fault zone profiles, while research on the correlation between spatiotemporal concentration changes in the same region and its geological background is relatively little. In this paper, Tangshan area in north China is chosen as research area. An analysis was conducted on the seismic geological background of Tangshan area firstly. Then based on quantitative analysis and comparison of measurement radon concentrations of 2023 and 2010, combined with the study of seismic activity and environmental changes during the time period, the spatiotemporal distribution characteristics and influencing factors were explored, in order to analyze the gas emission characteristics of the Tangshan fault zone and its relationship with fault activity, which aimed to be useful for the future work in earthquake monitor of Tangshan area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radon" title="radon">radon</a>, <a href="https://publications.waset.org/abstracts/search?q=Northern%20China" title=" Northern China"> Northern China</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20gas" title=" soil gas"> soil gas</a>, <a href="https://publications.waset.org/abstracts/search?q=earthquake" title=" earthquake"> earthquake</a> </p> <a href="https://publications.waset.org/abstracts/171064/an-analysis-of-relation-between-soil-radon-anomalies-and-geological-environment-change" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171064.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25168</span> Optimization of Marine Waste Collection Considering Dynamic Transport and Ship’s Wake Impact</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guillaume%20Richard">Guillaume Richard</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarra%20Zaied"> Sarra Zaied</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Marine waste quantities increase more and more, 5 million tons of plastic waste enter the ocean every year. Their spatiotemporal distribution is never homogeneous and depends mainly on the hydrodynamic characteristics of the environment, as well as the size and location of the waste. As part of optimizing collect of marine plastic wastes, it is important to measure and monitor their evolution over time. In this context, diverse studies have been dedicated to describing waste behavior in order to identify its accumulation in ocean areas. None of the existing tools which track objects at sea had the objective of tracking down a slick of waste. Moreover, the applications related to marine waste are in the minority compared to rescue applications or oil slicks tracking applications. These approaches are able to accurately simulate an object's behavior over time but not during the collection mission of a waste sheet. This paper presents numerical modeling of a boat’s wake impact on the floating marine waste behavior during a collection mission. The aim is to predict the trajectory of a marine waste slick to optimize its collection using meteorological data of ocean currents, wind, and possibly waves. We have made the choice to use Ocean Parcels which is a Python library suitable for trajectoring particles in the ocean. The modeling results showed the important role of advection and diffusion processes in the spatiotemporal distribution of floating plastic litter. The performance of the proposed method was evaluated on real data collected from the Copernicus Marine Environment Monitoring Service (CMEMS). The results of the evaluation in Cape of Good Hope (South Africa) prove that the proposed approach can effectively predict the position and velocity of marine litter during collection, which allowed for optimizing time and more than $90\%$ of the amount of collected waste. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=marine%20litter" title="marine litter">marine litter</a>, <a href="https://publications.waset.org/abstracts/search?q=advection-diffusion%20equation" title=" advection-diffusion equation"> advection-diffusion equation</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20current" title=" sea current"> sea current</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20model" title=" numerical model"> numerical model</a> </p> <a href="https://publications.waset.org/abstracts/170765/optimization-of-marine-waste-collection-considering-dynamic-transport-and-ships-wake-impact" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170765.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">87</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">25167</span> Dissecting Big Trajectory Data to Analyse Road Network Travel Efficiency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rania%20Alshikhe">Rania Alshikhe</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinita%20Jindal"> Vinita Jindal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Digital innovation has played a crucial role in managing smart transportation. For this, big trajectory data collected from traveling vehicles, such as taxis through installed global positioning system (GPS)-enabled devices can be utilized. It offers an unprecedented opportunity to trace the movements of vehicles in fine spatiotemporal granularity. This paper aims to explore big trajectory data to measure the travel efficiency of road networks using the proposed statistical travel efficiency measure (STEM) across an entire city. Further, it identifies the cause of low travel efficiency by proposed least square approximation network-based causality exploration (LANCE). Finally, the resulting data analysis reveals the causes of low travel efficiency, along with the road segments that need to be optimized to improve the traffic conditions and thus minimize the average travel time from given point A to point B in the road network. Obtained results show that our proposed approach outperforms the baseline algorithms for measuring the travel efficiency of the road network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GPS%20trajectory" title="GPS trajectory">GPS trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20network" title=" road network"> road network</a>, <a href="https://publications.waset.org/abstracts/search?q=taxi%20trips" title=" taxi trips"> taxi trips</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20map" title=" digital map"> digital map</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=STEM" title=" STEM"> STEM</a>, <a href="https://publications.waset.org/abstracts/search?q=LANCE" title=" LANCE"> LANCE</a> </p> <a href="https://publications.waset.org/abstracts/134185/dissecting-big-trajectory-data-to-analyse-road-network-travel-efficiency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134185.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">157</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">25166</span> Prediction of Live Birth in a Matched Cohort of Elective Single Embryo Transfers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohsen%20Bahrami">Mohsen Bahrami</a>, <a href="https://publications.waset.org/abstracts/search?q=Banafsheh%20Nikmehr"> Banafsheh Nikmehr</a>, <a href="https://publications.waset.org/abstracts/search?q=Yueqiang%20Song"> Yueqiang Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Anuradha%20Koduru"> Anuradha Koduru</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayse%20K.%20Vuruskan"> Ayse K. Vuruskan</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongkun%20Lu"> Hongkun Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Tamer%20M.%20Yalcinkaya"> Tamer M. Yalcinkaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, we have witnessed an explosion of studies aimed at using a combination of artificial intelligence (AI) and time-lapse imaging data on embryos to improve IVF outcomes. However, despite promising results, no study has used a matched cohort of transferred embryos which only differ in pregnancy outcome, i.e., embryos from a single clinic which are similar in parameters, such as: morphokinetic condition, patient age, and overall clinic and lab performance. Here, we used time-lapse data on embryos with known pregnancy outcomes to see if the rich spatiotemporal information embedded in this data would allow the prediction of the pregnancy outcome regardless of such critical parameters. Methodology—We did a retrospective analysis of time-lapse data from our IVF clinic utilizing Embryoscope 100% of the time for embryo culture to blastocyst stage with known clinical outcomes, including live birth vs nonpregnant (embryos with spontaneous abortion outcomes were excluded). We used time-lapse data from 200 elective single transfer embryos randomly selected from January 2019 to June 2021. Our sample included 100 embryos in each group with no significant difference in patient age (P=0.9550) and morphokinetic scores (P=0.4032). Data from all patients were combined to make a 4th order tensor, and feature extraction were subsequently carried out by a tensor decomposition methodology. The features were then used in a machine learning classifier to classify the two groups. Major Findings—The performance of the model was evaluated using 100 random subsampling cross validation (train (80%) - test (20%)). The prediction accuracy, averaged across 100 permutations, exceeded 80%. We also did a random grouping analysis, in which labels (live birth, nonpregnant) were randomly assigned to embryos, which yielded 50% accuracy. Conclusion—The high accuracy in the main analysis and the low accuracy in random grouping analysis suggest a consistent spatiotemporal pattern which is associated with pregnancy outcomes, regardless of patient age and embryo morphokinetic condition, and beyond already known parameters, such as: early cleavage or early blastulation. Despite small samples size, this ongoing analysis is the first to show the potential of AI methods in capturing the complex morphokinetic changes embedded in embryo time-lapse data, which contribute to successful pregnancy outcomes, regardless of already known parameters. The results on a larger sample size with complementary analysis on prediction of other key outcomes, such as: euploidy and aneuploidy of embryos will be presented at the meeting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IVF" title="IVF">IVF</a>, <a href="https://publications.waset.org/abstracts/search?q=embryo" title=" embryo"> embryo</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=time-lapse%20imaging%20data" title=" time-lapse imaging data"> time-lapse imaging data</a> </p> <a href="https://publications.waset.org/abstracts/156028/prediction-of-live-birth-in-a-matched-cohort-of-elective-single-embryo-transfers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156028.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span 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