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thresholding</title> <meta name="description" content="Search results for: global thresholding"> <meta name="keywords" content="global thresholding"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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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="global thresholding"> <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> 5329</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: global thresholding</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5329</span> Binarization and Recognition of Characters from Historical Degraded Documents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bency%20Jacob">Bency Jacob</a>, <a href="https://publications.waset.org/abstracts/search?q=S.B.%20Waykar"> S.B. Waykar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Degradations in historical document images appear due to aging of the documents. It is very difficult to understand and retrieve text from badly degraded documents as there is variation between the document foreground and background. Thresholding of such document images either result in broken characters or detection of false texts. Numerous algorithms exist that can separate text and background efficiently in the textual regions of the document; but portions of background are mistaken as text in areas that hardly contain any text. This paper presents a way to overcome these problems by a robust binarization technique that recovers the text from a severely degraded document images and thereby increases the accuracy of optical character recognition systems. The proposed document recovery algorithm efficiently removes degradations from document images. Here we are using the ostus method ,local thresholding and global thresholding and after the binarization training and recognizing the characters in the degraded documents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=binarization" title="binarization">binarization</a>, <a href="https://publications.waset.org/abstracts/search?q=denoising" title=" denoising"> denoising</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20thresholding" title=" global thresholding"> global thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20thresholding" title=" local thresholding"> local thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=thresholding" title=" thresholding"> thresholding</a> </p> <a href="https://publications.waset.org/abstracts/33322/binarization-and-recognition-of-characters-from-historical-degraded-documents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33322.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5328</span> Scintigraphic Image Coding of Region of Interest Based on SPIHT Algorithm Using Global Thresholding and Huffman Coding</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Seddiki">A. Seddiki</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Djebbouri"> M. Djebbouri</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Guerchi"> D. Guerchi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Medical imaging produces human body pictures in digital form. Since these imaging techniques produce prohibitive amounts of data, compression is necessary for storage and communication purposes. Many current compression schemes provide a very high compression rate but with considerable loss of quality. On the other hand, in some areas in medicine, it may be sufficient to maintain high image quality only in region of interest (ROI). This paper discusses a contribution to the lossless compression in the region of interest of Scintigraphic images based on SPIHT algorithm and global transform thresholding using Huffman coding. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20thresholding%20transform" title="global thresholding transform">global thresholding transform</a>, <a href="https://publications.waset.org/abstracts/search?q=huffman%20coding" title=" huffman coding"> huffman coding</a>, <a href="https://publications.waset.org/abstracts/search?q=region%20of%20interest" title=" region of interest"> region of interest</a>, <a href="https://publications.waset.org/abstracts/search?q=SPIHT%20coding" title=" SPIHT coding"> SPIHT coding</a>, <a href="https://publications.waset.org/abstracts/search?q=scintigraphic%20images" title=" scintigraphic images"> scintigraphic images</a> </p> <a href="https://publications.waset.org/abstracts/17067/scintigraphic-image-coding-of-region-of-interest-based-on-spiht-algorithm-using-global-thresholding-and-huffman-coding" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17067.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">367</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">5327</span> Empirical Mode Decomposition Based Denoising by Customized Thresholding</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wahiba%20Mohguen">Wahiba Mohguen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ra%C3%AFs%20El%E2%80%99hadi%20Bekka"> Raïs El’hadi Bekka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a denoising method called EMD-Custom that was based on Empirical Mode Decomposition (EMD) and the modified Customized Thresholding Function (Custom) algorithms. EMD was applied to decompose adaptively a noisy signal into intrinsic mode functions (IMFs). Then, all the noisy IMFs got threshold by applying the presented thresholding function to suppress noise and to improve the signal to noise ratio (SNR). The method was tested on simulated data and real ECG signal, and the results were compared to the EMD-Based signal denoising methods using the soft and hard thresholding. The results showed the superior performance of the proposed EMD-Custom denoising over the traditional approach. The performances were evaluated in terms of SNR in dB, and Mean Square Error (MSE). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=customized%20thresholding" title="customized thresholding">customized thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=ECG%20signal" title=" ECG signal"> ECG signal</a>, <a href="https://publications.waset.org/abstracts/search?q=EMD" title=" EMD"> EMD</a>, <a href="https://publications.waset.org/abstracts/search?q=hard%20thresholding" title=" hard thresholding"> hard thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=soft-thresholding" title=" soft-thresholding"> soft-thresholding</a> </p> <a href="https://publications.waset.org/abstracts/67421/empirical-mode-decomposition-based-denoising-by-customized-thresholding" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67421.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">302</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">5326</span> Hybrid Robust Estimation via Median Filter and Wavelet Thresholding with Automatic Boundary Correction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alsaidi%20M.%20Altaher">Alsaidi M. Altaher</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Tahir%20Ismail"> Mohd Tahir Ismail</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wavelet thresholding has been a power tool in curve estimation and data analysis. In the presence of outliers this non parametric estimator can not suppress the outliers involved. This study proposes a new two-stage combined method based on the use of the median filter as primary step before applying wavelet thresholding. After suppressing the outliers in a signal through the median filter, the classical wavelet thresholding is then applied for removing the remaining noise. We use automatic boundary corrections; using a low order polynomial model or local polynomial model as a more realistic rule to correct the bias at the boundary region; instead of using the classical assumptions such periodic or symmetric. A simulation experiment has been conducted to evaluate the numerical performance of the proposed method. Results show strong evidences that the proposed method is extremely effective in terms of correcting the boundary bias and eliminating outlier’s sensitivity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=boundary%20correction" title="boundary correction">boundary correction</a>, <a href="https://publications.waset.org/abstracts/search?q=median%20filter" title=" median filter"> median filter</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelet%20thresholding" title=" wavelet thresholding"> wavelet thresholding</a> </p> <a href="https://publications.waset.org/abstracts/16883/hybrid-robust-estimation-via-median-filter-and-wavelet-thresholding-with-automatic-boundary-correction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16883.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">428</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">5325</span> A Passive Digital Video Authentication Technique Using Wavelet Based Optical Flow Variation Thresholding</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20S.%20Remya">R. S. Remya</a>, <a href="https://publications.waset.org/abstracts/search?q=U.%20S.%20Sethulekshmi"> U. S. Sethulekshmi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Detecting the authenticity of a video is an important issue in digital forensics as Video is used as a silent evidence in court such as in child pornography, movie piracy cases, insurance claims, cases involving scientific fraud, traffic monitoring etc. The biggest threat to video data is the availability of modern open video editing tools which enable easy editing of videos without leaving any trace of tampering. In this paper, we propose an efficient passive method for inter-frame video tampering detection, its type and location by estimating the optical flow of wavelet features of adjacent frames and thresholding the variation in the estimated feature. The performance of the algorithm is compared with the z-score thresholding and achieved an efficiency above 95% on all the tested databases. The proposed method works well for videos with dynamic (forensics) as well as static (surveillance) background. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discrete%20wavelet%20transform" title="discrete wavelet transform">discrete wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20flow" title=" optical flow"> optical flow</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20flow%20variation" title=" optical flow variation"> optical flow variation</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20tampering" title=" video tampering"> video tampering</a> </p> <a href="https://publications.waset.org/abstracts/45252/a-passive-digital-video-authentication-technique-using-wavelet-based-optical-flow-variation-thresholding" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45252.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">359</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">5324</span> Hybrid Thresholding Lifting Dual Tree Complex Wavelet Transform with Wiener Filter for Quality Assurance of Medical Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hilal%20Naimi">Hilal Naimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Amelbahahouda%20Adamou-Mitiche"> Amelbahahouda Adamou-Mitiche</a>, <a href="https://publications.waset.org/abstracts/search?q=Lahcene%20Mitiche"> Lahcene Mitiche</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main problem in the area of medical imaging has been image denoising. The most defying for image denoising is to secure data carrying structures like surfaces and edges in order to achieve good visual quality. Different algorithms with different denoising performances have been proposed in previous decades. More recently, models focused on deep learning have shown a great promise to outperform all traditional approaches. However, these techniques are limited to the necessity of large sample size training and high computational costs. This research proposes a denoising approach basing on LDTCWT (Lifting Dual Tree Complex Wavelet Transform) using Hybrid Thresholding with Wiener filter to enhance the quality image. This research describes the LDTCWT as a type of lifting wavelets remodeling that produce complex coefficients by employing a dual tree of lifting wavelets filters to get its real part and imaginary part. Permits the remodel to produce approximate shift invariance, directionally selective filters and reduces the computation time (properties lacking within the classical wavelets transform). To develop this approach, a hybrid thresholding function is modeled by integrating the Wiener filter into the thresholding function. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lifting%20wavelet%20transform" title="lifting wavelet transform">lifting wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20denoising" title=" image denoising"> image denoising</a>, <a href="https://publications.waset.org/abstracts/search?q=dual%20tree%20complex%20wavelet%20transform" title=" dual tree complex wavelet transform"> dual tree complex wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelet%20shrinkage" title=" wavelet shrinkage"> wavelet shrinkage</a>, <a href="https://publications.waset.org/abstracts/search?q=wiener%20filter" title=" wiener filter"> wiener filter</a> </p> <a href="https://publications.waset.org/abstracts/135374/hybrid-thresholding-lifting-dual-tree-complex-wavelet-transform-with-wiener-filter-for-quality-assurance-of-medical-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135374.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">163</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">5323</span> An Online Adaptive Thresholding Method to Classify Google Trends Data Anomalies for Investor Sentiment Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Duygu%20Dere">Duygu Dere</a>, <a href="https://publications.waset.org/abstracts/search?q=Mert%20Ergeneci"> Mert Ergeneci</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaan%20Gokcesu"> Kaan Gokcesu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Google Trends data has gained increasing popularity in the applications of behavioral finance, decision science and risk management. Because of Google’s wide range of use, the Trends statistics provide significant information about the investor sentiment and intention, which can be used as decisive factors for corporate and risk management fields. However, an anomaly, a significant increase or decrease, in a certain query cannot be detected by the state of the art applications of computation due to the random baseline noise of the Trends data, which is modelled as an Additive white Gaussian noise (AWGN). Since through time, the baseline noise power shows a gradual change an adaptive thresholding method is required to track and learn the baseline noise for a correct classification. To this end, we introduce an online method to classify meaningful deviations in Google Trends data. Through extensive experiments, we demonstrate that our method can successfully classify various anomalies for plenty of different data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20data%20processing" title="adaptive data processing">adaptive data processing</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioral%20finance" title=" behavioral finance "> behavioral finance </a>, <a href="https://publications.waset.org/abstracts/search?q=convex%20optimization" title=" convex optimization"> convex optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20learning" title=" online learning"> online learning</a>, <a href="https://publications.waset.org/abstracts/search?q=soft%20minimum%20thresholding" title=" soft minimum thresholding"> soft minimum thresholding</a> </p> <a href="https://publications.waset.org/abstracts/92282/an-online-adaptive-thresholding-method-to-classify-google-trends-data-anomalies-for-investor-sentiment-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92282.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">167</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">5322</span> Segmentation Using Multi-Thresholded Sobel Images: Application to the Separation of Stuck Pollen Grains</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Endrick%20Barnacin">Endrick Barnacin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Luc%20Henry"> Jean-Luc Henry</a>, <a href="https://publications.waset.org/abstracts/search?q=Jimmy%20Nagau"> Jimmy Nagau</a>, <a href="https://publications.waset.org/abstracts/search?q=Jack%20Molinie"> Jack Molinie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Being able to identify biological particles such as spores, viruses, or pollens is important for health care professionals, as it allows for appropriate therapeutic management of patients. Optical microscopy is a technology widely used for the analysis of these types of microorganisms, because, compared to other types of microscopy, it is not expensive. The analysis of an optical microscope slide is a tedious and time-consuming task when done manually. However, using machine learning and computer vision, this process can be automated. The first step of an automated microscope slide image analysis process is segmentation. During this step, the biological particles are localized and extracted. Very often, the use of an automatic thresholding method is sufficient to locate and extract the particles. However, in some cases, the particles are not extracted individually because they are stuck to other biological elements. In this paper, we propose a stuck particles separation method based on the use of the Sobel operator and thresholding. We illustrate it by applying it to the separation of 813 images of adjacent pollen grains. The method correctly separated 95.4% of these images. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title="image segmentation">image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=stuck%20particles%20separation" title=" stuck particles separation"> stuck particles separation</a>, <a href="https://publications.waset.org/abstracts/search?q=Sobel%20operator" title=" Sobel operator"> Sobel operator</a>, <a href="https://publications.waset.org/abstracts/search?q=thresholding" title=" thresholding"> thresholding</a> </p> <a href="https://publications.waset.org/abstracts/148891/segmentation-using-multi-thresholded-sobel-images-application-to-the-separation-of-stuck-pollen-grains" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148891.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5321</span> RGB Color Based Real Time Traffic Sign Detection and Feature Extraction System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kay%20Thinzar%20Phu">Kay Thinzar Phu</a>, <a href="https://publications.waset.org/abstracts/search?q=Lwin%20Lwin%20Oo"> Lwin Lwin Oo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In an intelligent transport system and advanced driver assistance system, the developing of real-time traffic sign detection and recognition (TSDR) system plays an important part in recent research field. There are many challenges for developing real-time TSDR system due to motion artifacts, variable lighting and weather conditions and situations of traffic signs. Researchers have already proposed various methods to minimize the challenges problem. The aim of the proposed research is to develop an efficient and effective TSDR in real time. This system proposes an adaptive thresholding method based on RGB color for traffic signs detection and new features for traffic signs recognition. In this system, the RGB color thresholding is used to detect the blue and yellow color traffic signs regions. The system performs the shape identify to decide whether the output candidate region is traffic sign or not. Lastly, new features such as termination points, bifurcation points, and 90’ angles are extracted from validated image. This system uses Myanmar Traffic Sign dataset. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20thresholding%20based%20on%20RGB%20color" title="adaptive thresholding based on RGB color">adaptive thresholding based on RGB color</a>, <a href="https://publications.waset.org/abstracts/search?q=blue%20color%20detection" title=" blue color detection"> blue color detection</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=yellow%20color%20detection" title=" yellow color detection"> yellow color detection</a> </p> <a href="https://publications.waset.org/abstracts/77127/rgb-color-based-real-time-traffic-sign-detection-and-feature-extraction-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77127.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">313</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">5320</span> Speckle Noise Reduction Using Anisotropic Filter Based on Wavelets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kritika%20Bansal">Kritika Bansal</a>, <a href="https://publications.waset.org/abstracts/search?q=Akwinder%20Kaur"> Akwinder Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Shruti%20Gujral"> Shruti Gujral</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the approach of denoising is solved by using a new hybrid technique which associates the different denoising methods. Wavelet thresholding and anisotropic diffusion filter are the two different filters in our hybrid techniques. The Wavelet thresholding removes the noise by removing the high frequency components with lesser edge preservation, whereas an anisotropic diffusion filters is based on partial differential equation, (PDE) to remove the speckle noise. This PDE approach is used to preserve the edges and provides better smoothing. So our new method proposes a combination of these two filtering methods which performs better results in terms of peak signal to noise ratio (PSNR), coefficient of correlation (COC) and equivalent no of looks (ENL). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=denoising" title="denoising">denoising</a>, <a href="https://publications.waset.org/abstracts/search?q=anisotropic%20diffusion%20filter" title=" anisotropic diffusion filter"> anisotropic diffusion filter</a>, <a href="https://publications.waset.org/abstracts/search?q=multiplicative%20noise" title=" multiplicative noise"> multiplicative noise</a>, <a href="https://publications.waset.org/abstracts/search?q=speckle" title=" speckle"> speckle</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelets" title=" wavelets"> wavelets</a> </p> <a href="https://publications.waset.org/abstracts/14626/speckle-noise-reduction-using-anisotropic-filter-based-on-wavelets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14626.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">512</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">5319</span> Iterative Segmentation and Application of Hausdorff Dilation Distance in Defect Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Shankar%20Bharathi">S. Shankar Bharathi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Inspection of surface defects on metallic components has always been challenging due to its specular property. Occurrences of defects such as scratches, rust, pitting are very common in metallic surfaces during the manufacturing process. These defects if unchecked can hamper the performance and reduce the life time of such component. Many of the conventional image processing algorithms in detecting the surface defects generally involve segmentation techniques, based on thresholding, edge detection, watershed segmentation and textural segmentation. They later employ other suitable algorithms based on morphology, region growing, shape analysis, neural networks for classification purpose. In this paper the work has been focused only towards detecting scratches. Global and other thresholding techniques were used to extract the defects, but it proved to be inaccurate in extracting the defects alone. However, this paper does not focus on comparison of different segmentation techniques, but rather describes a novel approach towards segmentation combined with hausdorff dilation distance. The proposed algorithm is based on the distribution of the intensity levels, that is, whether a certain gray level is concentrated or evenly distributed. The algorithm is based on extraction of such concentrated pixels. Defective images showed higher level of concentration of some gray level, whereas in non-defective image, there seemed to be no concentration, but were evenly distributed. This formed the basis in detecting the defects in the proposed algorithm. Hausdorff dilation distance based on mathematical morphology was used to strengthen the segmentation of the defects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metallic%20surface" title="metallic surface">metallic surface</a>, <a href="https://publications.waset.org/abstracts/search?q=scratches" title=" scratches"> scratches</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=hausdorff%20dilation%20distance" title=" hausdorff dilation distance"> hausdorff dilation distance</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20vision" title=" machine vision"> machine vision</a> </p> <a href="https://publications.waset.org/abstracts/34958/iterative-segmentation-and-application-of-hausdorff-dilation-distance-in-defect-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34958.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">428</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">5318</span> Music Note Detection and Dictionary Generation from Music Sheet Using Image Processing Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Ammar">Muhammad Ammar</a>, <a href="https://publications.waset.org/abstracts/search?q=Talha%20Ali"> Talha Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Basit"> Abdul Basit</a>, <a href="https://publications.waset.org/abstracts/search?q=Bakhtawar%20Rajput"> Bakhtawar Rajput</a>, <a href="https://publications.waset.org/abstracts/search?q=Zobia%20Sohail"> Zobia Sohail</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Music note detection is an area of study for the past few years and has its own influence in music file generation from sheet music. We proposed a method to detect music notes on sheet music using basic thresholding and blob detection. Subsequently, we created a notes dictionary using a semi-supervised learning approach. After notes detection, for each test image, the new symbols are added to the dictionary. This makes the notes detection semi-automatic. The experiments are done on images from a dataset and also on the captured images. The developed approach showed almost 100% accuracy on the dataset images, whereas varying results have been seen on captured images. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=music%20note" title="music note">music note</a>, <a href="https://publications.waset.org/abstracts/search?q=sheet%20music" title=" sheet music"> sheet music</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20music%20recognition" title=" optical music recognition"> optical music recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=blob%20detection" title=" blob detection"> blob detection</a>, <a href="https://publications.waset.org/abstracts/search?q=thresholding" title=" thresholding"> thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=dictionary%20generation" title=" dictionary generation"> dictionary generation</a> </p> <a href="https://publications.waset.org/abstracts/133670/music-note-detection-and-dictionary-generation-from-music-sheet-using-image-processing-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133670.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">181</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">5317</span> Reversible and Adaptive Watermarking for MRI Medical Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nisar%20Ahmed%20Memon">Nisar Ahmed Memon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A new medical image watermarking scheme delivering high embedding capacity is presented in this paper. Integer Wavelet Transform (IWT), Companding technique and adaptive thresholding are used in this scheme. The proposed scheme implants, recovers the hidden information and restores the input image to its pristine state at the receiving end. Magnetic Resonance Imaging (MRI) images are used for experimental purposes. The scheme first segment the MRI medical image into non-overlapping blocks and then inserts watermark into wavelet coefficients having a high frequency of each block. The scheme uses block-based watermarking adopting iterative optimization of threshold for companding in order to avoid the histogram pre and post processing. Results show that proposed scheme performs better than other reversible medical image watermarking schemes available in literature for MRI medical images. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20thresholding" title="adaptive thresholding">adaptive thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=companding%20technique" title=" companding technique"> companding technique</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20authentication" title=" data authentication"> data authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=reversible%20watermarking" title=" reversible watermarking"> reversible watermarking</a> </p> <a href="https://publications.waset.org/abstracts/57365/reversible-and-adaptive-watermarking-for-mri-medical-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57365.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">296</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">5316</span> Robust Image Design Based Steganographic System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadiq%20J.%20Abou-Loukh">Sadiq J. Abou-Loukh</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanan%20M.%20Habbi"> Hanan M. Habbi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a steganography to hide the transmitted information without excite suspicious and also illustrates the level of secrecy that can be increased by using cryptography techniques. The proposed system has been implemented firstly by encrypted image file one time pad key and secondly encrypted message that hidden to perform encryption followed by image embedding. Then the new image file will be created from the original image by using four triangles operation, the new image is processed by one of two image processing techniques. The proposed two processing techniques are thresholding and differential predictive coding (DPC). Afterwards, encryption or decryption keys are generated by functional key generator. The generator key is used one time only. Encrypted text will be hidden in the places that are not used for image processing and key generation system has high embedding rate (0.1875 character/pixel) for true color image (24 bit depth). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=encryption" title="encryption">encryption</a>, <a href="https://publications.waset.org/abstracts/search?q=thresholding" title=" thresholding"> thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=differential%0D%0Apredictive%20coding" title=" differential predictive coding"> differential predictive coding</a>, <a href="https://publications.waset.org/abstracts/search?q=four%20triangles%20operation" title=" four triangles operation "> four triangles operation </a> </p> <a href="https://publications.waset.org/abstracts/16654/robust-image-design-based-steganographic-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16654.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">493</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">5315</span> A Combined Feature Extraction and Thresholding Technique for Silence Removal in Percussive Sounds </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Kishore%20Kumar">B. Kishore Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Pogula%20Rakesh"> Pogula Rakesh</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kishore%20Kumar"> T. Kishore Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The music analysis is a part of the audio content analysis used to analyze the music by using the different features of audio signal. In music analysis, the first step is to divide the music signal to different sections based on the feature profiles of the music signal. In this paper, we present a music segmentation technique that will effectively segmentize the signal and thresholding technique to remove silence from the percussive sounds produced by percussive instruments, which uses two features of music, namely signal energy and spectral centroid. The proposed method impose thresholds on both the features which will vary depends on the music signal. Depends on the threshold, silence part is removed and the segmentation is done. The effectiveness of the proposed method is analyzed using MATLAB. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=percussive%20sounds" title="percussive sounds">percussive sounds</a>, <a href="https://publications.waset.org/abstracts/search?q=spectral%20centroid" title=" spectral centroid"> spectral centroid</a>, <a href="https://publications.waset.org/abstracts/search?q=spectral%20energy" title=" spectral energy"> spectral energy</a>, <a href="https://publications.waset.org/abstracts/search?q=silence%20removal" title=" silence removal"> silence removal</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20extraction" title=" feature extraction"> feature extraction</a> </p> <a href="https://publications.waset.org/abstracts/25510/a-combined-feature-extraction-and-thresholding-technique-for-silence-removal-in-percussive-sounds" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25510.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">593</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">5314</span> Flood Monitoring in the Vietnamese Mekong Delta Using Sentinel-1 SAR with Global Flood Mapper</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20S.%20Afifi">Ahmed S. Afifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Magdy"> Ahmed Magdy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Satellite monitoring is an essential tool to study, understand, and map large-scale environmental changes that affect humans, climate, and biodiversity. The Sentinel-1 Synthetic Aperture Radar (SAR) instrument provides a high collection of data in all-weather, short revisit time, and high spatial resolution that can be used effectively in flood management. Floods occur when an overflow of water submerges dry land that requires to be distinguished from flooded areas. In this study, we use global flood mapper (GFM), a new google earth engine application that allows users to quickly map floods using Sentinel-1 SAR. The GFM enables the users to adjust manually the flood map parameters, e.g., the threshold for Z-value for VV and VH bands and the elevation and slope mask threshold. The composite R:G:B image results by coupling the bands of Sentinel-1 (VH:VV:VH) reduces false classification to a large extent compared to using one separate band (e.g., VH polarization band). The flood mapping algorithm in the GFM and the Otsu thresholding are compared with Sentinel-2 optical data. And the results show that the GFM algorithm can overcome the misclassification of a flooded area in An Giang, Vietnam. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SAR%20backscattering" title="SAR backscattering">SAR backscattering</a>, <a href="https://publications.waset.org/abstracts/search?q=Sentinel-1" title=" Sentinel-1"> Sentinel-1</a>, <a href="https://publications.waset.org/abstracts/search?q=flood%20mapping" title=" flood mapping"> flood mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=disaster" title=" disaster"> disaster</a> </p> <a href="https://publications.waset.org/abstracts/160125/flood-monitoring-in-the-vietnamese-mekong-delta-using-sentinel-1-sar-with-global-flood-mapper" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160125.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">106</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">5313</span> Automatic Thresholding for Data Gap Detection for a Set of Sensors in Instrumented Buildings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Houda%20Najeh">Houda Najeh</a>, <a href="https://publications.waset.org/abstracts/search?q=St%C3%A9phane%20Ploix"> Stéphane Ploix</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahendra%20Pratap%20Singh"> Mahendra Pratap Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Karim%20Chabir"> Karim Chabir</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Naceur%20Abdelkrim"> Mohamed Naceur Abdelkrim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Building systems are highly vulnerable to different kinds of faults and failures. In fact, various faults, failures and human behaviors could affect the building performance. This paper tackles the detection of unreliable sensors in buildings. Different literature surveys on diagnosis techniques for sensor grids in buildings have been published but all of them treat only bias and outliers. Occurences of data gaps have also not been given an adequate span of attention in the academia. The proposed methodology comprises the automatic thresholding for data gap detection for a set of heterogeneous sensors in instrumented buildings. Sensor measurements are considered to be regular time series. However, in reality, sensor values are not uniformly sampled. So, the issue to solve is from which delay each sensor become faulty? The use of time series is required for detection of abnormalities on the delays. The efficiency of the method is evaluated on measurements obtained from a real power plant: an office at Grenoble Institute of technology equipped by 30 sensors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20system" title="building system">building system</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20series" title=" time series"> time series</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=outliers" title=" outliers"> outliers</a>, <a href="https://publications.waset.org/abstracts/search?q=delay" title=" delay"> delay</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20gap" title=" data gap"> data gap</a> </p> <a href="https://publications.waset.org/abstracts/97880/automatic-thresholding-for-data-gap-detection-for-a-set-of-sensors-in-instrumented-buildings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97880.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">245</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">5312</span> Hyperspectral Image Classification Using Tree Search Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shreya%20Pare">Shreya Pare</a>, <a href="https://publications.waset.org/abstracts/search?q=Parvin%20Akhter"> Parvin Akhter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Remotely sensing image classification becomes a very challenging task owing to the high dimensionality of hyperspectral images. The pixel-wise classification methods fail to take the spatial structure information of an image. Therefore, to improve the performance of classification, spatial information can be integrated into the classification process. In this paper, the multilevel thresholding algorithm based on a modified fuzzy entropy function is used to perform the segmentation of hyperspectral images. The fuzzy parameters of the MFE function have been optimized by using a new meta-heuristic algorithm based on the Tree-Search algorithm. The segmented image is classified by a large distribution machine (LDM) classifier. Experimental results are shown on a hyperspectral image dataset. The experimental outputs indicate that the proposed technique (MFE-TSA-LDM) achieves much higher classification accuracy for hyperspectral images when compared to state-of-art classification techniques. The proposed algorithm provides accurate segmentation and classification maps, thus becoming more suitable for image classification with large spatial structures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/abstracts/search?q=hyperspectral%20images" title=" hyperspectral images"> hyperspectral images</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20distribution%20margin" title=" large distribution margin"> large distribution margin</a>, <a href="https://publications.waset.org/abstracts/search?q=modified%20fuzzy%20entropy%20function" title=" modified fuzzy entropy function"> modified fuzzy entropy function</a>, <a href="https://publications.waset.org/abstracts/search?q=multilevel%20thresholding" title=" multilevel thresholding"> multilevel thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=tree%20search%20algorithm" title=" tree search algorithm"> tree search algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=hyperspectral%20image%20classification%20using%20tree%20search%20algorithm" title=" hyperspectral image classification using tree search algorithm"> hyperspectral image classification using tree search algorithm</a> </p> <a href="https://publications.waset.org/abstracts/143284/hyperspectral-image-classification-using-tree-search-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143284.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">177</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">5311</span> 'Internationalization': Discussing the Ethics of the Global North Developing Social Work Courses for the Global South</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mary%20Goitom">Mary Goitom</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Liegghio"> Maria Liegghio</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we critically explore the ethics of Schools of Social Work from the global North developing courses for programs within the Global South. In it, we discuss our experiences of partnering with the University of Guyana to develop and teach graduate courses in a newly formed Masters of Social Work program. Under the umbrella of our university’s goal for 'internationalization', that is, developing and establishing global and local collaborations for teaching, research and scholarship, we bring into question whether a new form of academic imperialism is occurring under the guise of global citizenship and social justice. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=academic%20imperialism" title="academic imperialism">academic imperialism</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20north%20and%20south" title=" global north and south"> global north and south</a>, <a href="https://publications.waset.org/abstracts/search?q=internationalization" title=" internationalization"> internationalization</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20work%20education" title=" social work education"> social work education</a> </p> <a href="https://publications.waset.org/abstracts/59550/internationalization-discussing-the-ethics-of-the-global-north-developing-social-work-courses-for-the-global-south" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59550.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">343</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">5310</span> Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zehai%20Yu">Zehai Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui%20Zhu"> Hui Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Linglong%20Lin"> Linglong Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Huawei%20Liang"> Huawei Liang</a>, <a href="https://publications.waset.org/abstracts/search?q=Biao%20Yu"> Biao Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Weixin%20Huang"> Weixin Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the development of intelligent vehicle systems, a high-precision road map is increasingly needed in many aspects. The automatic lane lines extraction and modeling are the most essential steps for the generation of a precise lane-level road map. In this paper, an automatic lane-level road map generation system is proposed. To extract the road markings on the ground, the multi-region Otsu thresholding method is applied, which calculates the intensity value of laser data that maximizes the variance between background and road markings. The extracted road marking points are then projected to the raster image and clustered using a two-stage clustering algorithm. Lane lines are subsequently recognized from these clusters by the shape features of their minimum bounding rectangle. To ensure the storage efficiency of the map, the lane lines are approximated to cubic polynomial curves using a Bayesian estimation approach. The proposed lane-level road map generation system has been tested on urban and expressway conditions in Hefei, China. The experimental results on the datasets show that our method can achieve excellent extraction and clustering effect, and the fitted lines can reach a high position accuracy with an error of less than 10 cm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curve%20fitting" title="curve fitting">curve fitting</a>, <a href="https://publications.waset.org/abstracts/search?q=lane-level%20road%20map" title=" lane-level road map"> lane-level road map</a>, <a href="https://publications.waset.org/abstracts/search?q=line%20recognition" title=" line recognition"> line recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-thresholding" title=" multi-thresholding"> multi-thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=two-stage%20clustering" title=" two-stage clustering"> two-stage clustering</a> </p> <a href="https://publications.waset.org/abstracts/132360/laser-data-based-automatic-generation-of-lane-level-road-map-for-intelligent-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132360.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">128</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">5309</span> Global Communication: Trends and Impact of Unbalanced Information in Nigerian Society</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Uchenna%20Patricia%20Ekwugha">Uchenna Patricia Ekwugha</a>, <a href="https://publications.waset.org/abstracts/search?q=Cornelius%20Aghadiegwu%20Ukwueze"> Cornelius Aghadiegwu Ukwueze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global communication has changed life at the international scene affecting on the whole social, cultural and political life of individuals in a global community. It has brought about a changing trend in the field of communication and allowed people to learn, create and process information through mainline media and new media technologies. The paper debates that music is an integral form of global communication that cannot be overlooked because it is a beautiful and powerful tool in relating information to the people which they gladly imbibe. It is worrisome that through global communication there has been consistent clash of values on information’s disseminated to the global community of which the developing countries like Nigerians are the sufferers. Particularly involved in this vicious social dogma are the Nigerian youths, who learn defiant behaviour through global communication and lose touch of African cultural values. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20communication" title="global communication">global communication</a>, <a href="https://publications.waset.org/abstracts/search?q=trends" title=" trends"> trends</a>, <a href="https://publications.waset.org/abstracts/search?q=impact" title=" impact"> impact</a>, <a href="https://publications.waset.org/abstracts/search?q=unbalanced%20information" title=" unbalanced information"> unbalanced information</a> </p> <a href="https://publications.waset.org/abstracts/10227/global-communication-trends-and-impact-of-unbalanced-information-in-nigerian-society" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10227.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">508</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">5308</span> Global Collaboration During Global Crisis a Response to Rigorous Field Education in Social Work</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ruth%20Gerritsen-McKane">Ruth Gerritsen-McKane</a>, <a href="https://publications.waset.org/abstracts/search?q=Mimi%20Sodhi"> Mimi Sodhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Lisa%20Gray"> Lisa Gray</a>, <a href="https://publications.waset.org/abstracts/search?q=Donette%20Considine"> Donette Considine</a>, <a href="https://publications.waset.org/abstracts/search?q=Henry%20Kronner"> Henry Kronner</a>, <a href="https://publications.waset.org/abstracts/search?q=Tameca%20Harris-Jackson"> Tameca Harris-Jackson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During these extraordinary times amid a global pandemic, political/civil unrest, and natural disasters, the need for appropriately trained professional social workers has never been stronger. Needs do not diminish but are heightened during such remarkable times. All too often, “developed” countries see the crisis in developing countries as uniquely theirs; 2020 has shown, there are no “others”; there is only us. Consequently, engaging in meaningful collaboration worldwide is essential! This presentation speaks to the fundamentals of global collaboration and, more importantly, how an in these trying times, the development of strong international partnerships can create opportunities for social work students across the planet to engage in meaningful field education opportunities. Accomplished by multiple modalities, a deeper understanding and response to social work students becoming formidable global citizens can be achieved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20citizens" title="global citizens">global citizens</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20crisis" title=" global crisis"> global crisis</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20collaboration" title=" global collaboration"> global collaboration</a>, <a href="https://publications.waset.org/abstracts/search?q=modalities" title=" modalities"> modalities</a> </p> <a href="https://publications.waset.org/abstracts/134517/global-collaboration-during-global-crisis-a-response-to-rigorous-field-education-in-social-work" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134517.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">221</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">5307</span> Evaluation of a Surrogate Based Method for Global Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20Lindstr%C3%B6m">David Lindström</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We evaluate the performance of a numerical method for global optimization of expensive functions. The method is using a response surface to guide the search for the global optimum. This metamodel could be based on radial basis functions, kriging, or a combination of different models. We discuss how to set the cycling parameters of the optimization method to get a balance between local and global search. We also discuss the eventual problem with Runge oscillations in the response surface. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=expensive%20function" title="expensive function">expensive function</a>, <a href="https://publications.waset.org/abstracts/search?q=infill%20sampling%20criterion" title=" infill sampling criterion"> infill sampling criterion</a>, <a href="https://publications.waset.org/abstracts/search?q=kriging" title=" kriging"> kriging</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20optimization" title=" global optimization"> global optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface" title=" response surface"> response surface</a>, <a href="https://publications.waset.org/abstracts/search?q=Runge%20phenomenon" title=" Runge phenomenon"> Runge phenomenon</a> </p> <a href="https://publications.waset.org/abstracts/24538/evaluation-of-a-surrogate-based-method-for-global-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24538.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">578</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">5306</span> The Effect of Global Value Chain Participation on Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Piyaphan%20Changwatchai">Piyaphan Changwatchai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global value chain is important for current world economy through foreign direct investment. Multinational enterprises' efficient location seeking for each stage of production lead to global production network and more global value chain participation of several countries. Global value chain participation has several effects on participating countries in several aspects including the environment. The effect of global value chain participation on the environment is ambiguous. As a result, this research aims to study the effect of global value chain participation on countries' CO₂ emission and methane emission by using quantitative analysis with secondary panel data of sixty countries. The analysis is divided into two types of global value chain participation, which are forward global value chain participation and backward global value chain participation. The results show that, for forward global value chain participation, GDP per capita affects two types of pollutants in downward bell curve shape. Forward global value chain participation negatively affects CO₂ emission and methane emission. As for backward global value chain participation, GDP per capita affects two types of pollutants in downward bell curve shape. Backward global value chain participation negatively affects methane emission only. However, when considering Asian countries, forward global value chain participation positively affects CO₂ emission. The recommendations of this research are that countries participating in global value chain should promote production with effective environmental management in each stage of value chain. The examples of policies are providing incentives to private sectors, including domestic producers and MNEs, for green production technology and efficient environment management and engaging in international agreements in terms of green production. Furthermore, government should regulate each stage of production in value chain toward green production, especially for Asia countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CO%E2%82%82%20emission" title="CO₂ emission">CO₂ emission</a>, <a href="https://publications.waset.org/abstracts/search?q=environment" title=" environment"> environment</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20value%20chain%20participation" title=" global value chain participation"> global value chain participation</a>, <a href="https://publications.waset.org/abstracts/search?q=methane%20emission" title=" methane emission"> methane emission</a> </p> <a href="https://publications.waset.org/abstracts/86948/the-effect-of-global-value-chain-participation-on-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86948.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">191</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">5305</span> Contemporary Global Urban Scenarios: An Essay on Urban Insurgencies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Clovis%20Ultramari">Clovis Ultramari</a>, <a href="https://publications.waset.org/abstracts/search?q=Lidia%20Floriani"> Lidia Floriani</a>, <a href="https://publications.waset.org/abstracts/search?q=Debora%20Cicioli"> Debora Cicioli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is a preliminary discussion on the constituency of contemporary global urban scenarios. It is based on secondary sources, mostly from the topics mostly currently discussed by global studies institutes, academic material on the possible components of this phenomenon, and a list of possible scenarios preliminarily proposed by these authors. It also discusses one of these possible scenarios (urban insurgencies) through the lens of a global perspective. Main objective of the research presented in this paper is to produce insights for international aid and development agencies as well as to respond to an increasing interest in the urban studies field in discussing global topics. This paper also results from discussions held in seminars offered by the authors in the graduate program of Urban Management along 2021 and 2022. It is part of a research project that puts together an international team of researches, mostly from the Global South. Results so far obtained refer to conceptual aspects for the determination of global urban scenarios and the presentation of urban insurgencies as worldwide trending urban phenomenon. Presentation in the seminar is part of an ongoing discussion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20global%20scenarios" title="urban global scenarios">urban global scenarios</a>, <a href="https://publications.waset.org/abstracts/search?q=contemporary%20cities" title=" contemporary cities"> contemporary cities</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20south" title=" global south"> global south</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20insurgencies" title=" urban insurgencies"> urban insurgencies</a> </p> <a href="https://publications.waset.org/abstracts/150959/contemporary-global-urban-scenarios-an-essay-on-urban-insurgencies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150959.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">106</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">5304</span> CT Medical Images Denoising Based on New Wavelet Thresholding Compared with Curvelet and Contourlet</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20Moslemi">Amir Moslemi</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20movafeghi"> Amir movafeghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shahab%20Moradi"> Shahab Moradi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the most important challenging factors in medical images is nominated as noise.Image denoising refers to the improvement of a digital medical image that has been infected by Additive White Gaussian Noise (AWGN). The digital medical image or video can be affected by different types of noises. They are impulse noise, Poisson noise and AWGN. Computed tomography (CT) images are subjected to low quality due to the noise. The quality of CT images is dependent on the absorbed dose to patients directly in such a way that increase in absorbed radiation, consequently absorbed dose to patients (ADP), enhances the CT images quality. In this manner, noise reduction techniques on the purpose of images quality enhancement exposing no excess radiation to patients is one the challenging problems for CT images processing. In this work, noise reduction in CT images was performed using two different directional 2 dimensional (2D) transformations; i.e., Curvelet and Contourlet and Discrete wavelet transform(DWT) thresholding methods of BayesShrink and AdaptShrink, compared to each other and we proposed a new threshold in wavelet domain for not only noise reduction but also edge retaining, consequently the proposed method retains the modified coefficients significantly that result in good visual quality. Data evaluations were accomplished by using two criterions; namely, peak signal to noise ratio (PSNR) and Structure similarity (Ssim). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography%20%28CT%29" title="computed tomography (CT)">computed tomography (CT)</a>, <a href="https://publications.waset.org/abstracts/search?q=noise%20reduction" title=" noise reduction"> noise reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=curve-let" title=" curve-let"> curve-let</a>, <a href="https://publications.waset.org/abstracts/search?q=contour-let" title=" contour-let"> contour-let</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20to%20noise%20peak-peak%20ratio%20%28PSNR%29" title=" signal to noise peak-peak ratio (PSNR)"> signal to noise peak-peak ratio (PSNR)</a>, <a href="https://publications.waset.org/abstracts/search?q=structure%20similarity%20%28Ssim%29" title=" structure similarity (Ssim)"> structure similarity (Ssim)</a>, <a href="https://publications.waset.org/abstracts/search?q=absorbed%20dose%20to%20patient%20%28ADP%29" title=" absorbed dose to patient (ADP)"> absorbed dose to patient (ADP)</a> </p> <a href="https://publications.waset.org/abstracts/37368/ct-medical-images-denoising-based-on-new-wavelet-thresholding-compared-with-curvelet-and-contourlet" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37368.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">441</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">5303</span> Planning Sustainable Urban Communities through Nature-Based Solutions: Perspectives from the Global South</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nike%20Jacobs">Nike Jacobs</a>, <a href="https://publications.waset.org/abstracts/search?q=Elizelle%20Juanee%20Cilliers"> Elizelle Juanee Cilliers</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent decades there has been an increasing strive towards broader sustainable planning practices. A wide range of literature suggests that nature-based solutions (including Green Infrastructure planning) may lead towards socio-economically and environmentally sustainable urban communities. Such research is however mainly based on practices from the Global North with very little reference to the Global South. This study argues that there is a need for Global North knowledge to be translated to Global South context, and interpreted within this unique environment, acknowledging historical and cultural differences between Global North and Global South, and ultimately providing unique solutions for the unique urban reality. This research primarily focuses on nature-based solutions for sustainable urban communities and considers a broad literature review on Global North knowledge regarding such, substantiated by an analysis of purposefully selected case studies. The investigation identifies best practices which could be translated and place such in the context of current Global South perspectives. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20south" title="global south">global south</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20infrastructure%20planning" title=" green infrastructure planning"> green infrastructure planning</a>, <a href="https://publications.waset.org/abstracts/search?q=nature-based%20solutions" title=" nature-based solutions"> nature-based solutions</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20urbanism" title=" sustainable urbanism"> sustainable urbanism</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20sustainability" title=" urban sustainability"> urban sustainability</a> </p> <a href="https://publications.waset.org/abstracts/75984/planning-sustainable-urban-communities-through-nature-based-solutions-perspectives-from-the-global-south" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75984.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5302</span> Integrated Framework for Establishing Born-Global Firms 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=Nonso%20Ochinanwata">Nonso Ochinanwata</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20Oseloka%20Ezepue"> Patrick Oseloka Ezepue</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper explores the process of creating and capturing born-global firm opportunities. It reviews the key constructs that underpin the establishment of born-global firms in sub-Saharan Africa. These include entrepreneurial orientation, resources and capabilities, collaboration, and contextual influences. The paper discusses how individuals and entrepreneurs in sub-Saharan Africa can establish home-based born-global firms that seek early international markets from inception. The paper suggests that sub-Saharan African governments should make a favourable microeconomics policy that will enable entrepreneurs and firms to acquire some certain minimal resources and capabilities, in order to develop global products and services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=born%20global-firms" title="born global-firms">born global-firms</a>, <a href="https://publications.waset.org/abstracts/search?q=collaboration" title=" collaboration"> collaboration</a>, <a href="https://publications.waset.org/abstracts/search?q=internationalisation" title=" internationalisation"> internationalisation</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20capabilities" title=" dynamic capabilities"> dynamic capabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=entrepreneurship" title=" entrepreneurship"> entrepreneurship</a>, <a href="https://publications.waset.org/abstracts/search?q=sub-Saharan%20Africa" title=" sub-Saharan Africa"> sub-Saharan Africa</a> </p> <a href="https://publications.waset.org/abstracts/55828/integrated-framework-for-establishing-born-global-firms-in-sub-saharan-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55828.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">275</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">5301</span> A Comparative Study of Global Power Grids and Global Fossil Energy Pipelines Using GIS Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenhao%20Wang">Wenhao Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xinzhi%20Xu"> Xinzhi Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Limin%20Feng"> Limin Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Cong"> Wei Cong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper comprehensively investigates current development status of global power grids and fossil energy pipelines (oil and natural gas), proposes a standard visual platform of global power and fossil energy based on Geographic Information System (GIS) technology. In this visual platform, a series of systematic visual models is proposed with global spatial data, systematic energy and power parameters. Under this visual platform, the current Global Power Grids Map and Global Fossil Energy Pipelines Map are plotted within more than 140 countries and regions across the world. Using the multi-scale fusion data processing and modeling methods, the world’s global fossil energy pipelines and power grids information system basic database is established, which provides important data supporting global fossil energy and electricity research. Finally, through the systematic and comparative study of global fossil energy pipelines and global power grids, the general status of global fossil energy and electricity development are reviewed, and energy transition in key areas are evaluated and analyzed. Through the comparison analysis of fossil energy and clean energy, the direction of relevant research is pointed out for clean development and energy transition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20transition" title="energy transition">energy transition</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20information%20system" title=" geographic information system"> geographic information system</a>, <a href="https://publications.waset.org/abstracts/search?q=fossil%20energy" title=" fossil energy"> fossil energy</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20systems" title=" power systems"> power systems</a> </p> <a href="https://publications.waset.org/abstracts/120933/a-comparative-study-of-global-power-grids-and-global-fossil-energy-pipelines-using-gis-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120933.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">151</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">5300</span> Hybrid Precoder Design Based on Iterative Hard Thresholding Algorithm for Millimeter Wave Multiple-Input-Multiple-Output Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ameni%20Mejri">Ameni Mejri</a>, <a href="https://publications.waset.org/abstracts/search?q=Moufida%20Hajjaj"> Moufida Hajjaj</a>, <a href="https://publications.waset.org/abstracts/search?q=Salem%20Hasnaoui"> Salem Hasnaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Ridha%20Bouallegue"> Ridha Bouallegue</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The technology advances have most lately made the millimeter wave (mmWave) communication possible. Due to the huge amount of spectrum that is available in MmWave frequency bands, this promising candidate is considered as a key technology for the deployment of 5G cellular networks. In order to enhance system capacity and achieve spectral efficiency, very large antenna arrays are employed at mmWave systems by exploiting array gain. However, it has been shown that conventional beamforming strategies are not suitable for mmWave hardware implementation. Therefore, new features are required for mmWave cellular applications. Unlike traditional multiple-input-multiple-output (MIMO) systems for which only digital precoders are essential to accomplish precoding, MIMO technology seems to be different at mmWave because of digital precoding limitations. Moreover, precoding implements a greater number of radio frequency (RF) chains supporting more signal mixers and analog-to-digital converters. As RF chain cost and power consumption is increasing, we need to resort to another alternative. Although the hybrid precoding architecture has been regarded as the best solution based on a combination between a baseband precoder and an RF precoder, we still do not get the optimal design of hybrid precoders. According to the mapping strategies from RF chains to the different antenna elements, there are two main categories of hybrid precoding architecture. Given as a hybrid precoding sub-array architecture, the partially-connected structure reduces hardware complexity by using a less number of phase shifters, whereas it sacrifices some beamforming gain. In this paper, we treat the hybrid precoder design in mmWave MIMO systems as a problem of matrix factorization. Thus, we adopt the alternating minimization principle in order to solve the design problem. Further, we present our proposed algorithm for the partially-connected structure, which is based on the iterative hard thresholding method. Through simulation results, we show that our hybrid precoding algorithm provides significant performance gains over existing algorithms. We also show that the proposed approach reduces significantly the computational complexity. Furthermore, valuable design insights are provided when we use the proposed algorithm to make simulation comparisons between the hybrid precoding partially-connected structure and the fully-connected structure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alternating%20minimization" title="alternating minimization">alternating minimization</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20precoding" title=" hybrid precoding"> hybrid precoding</a>, <a href="https://publications.waset.org/abstracts/search?q=iterative%20hard%20thresholding" title=" iterative hard thresholding"> iterative hard thresholding</a>, <a href="https://publications.waset.org/abstracts/search?q=low-complexity" title=" low-complexity"> low-complexity</a>, <a href="https://publications.waset.org/abstracts/search?q=millimeter%20wave%20communication" title=" millimeter wave communication"> millimeter wave communication</a>, <a href="https://publications.waset.org/abstracts/search?q=partially-connected%20structure" title=" partially-connected structure"> partially-connected structure</a> </p> <a href="https://publications.waset.org/abstracts/66477/hybrid-precoder-design-based-on-iterative-hard-thresholding-algorithm-for-millimeter-wave-multiple-input-multiple-output-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66477.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">321</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=global%20thresholding&page=2">2</a></li> <li class="page-item"><a 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