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label use</title> <meta name="description" content="Search results for: nutrition label use"> <meta name="keywords" content="nutrition label use"> <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="nutrition label use"> <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> 921</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: nutrition label use</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">921</span> Effective Nutrition Label Use on Smartphones</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vladimir%20Kulyukin">Vladimir Kulyukin</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanwir%20Zaman"> Tanwir Zaman</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarat%20Kiran%20Andhavarapu"> Sarat Kiran Andhavarapu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Research on nutrition label use identifies four factors that impede comprehension and retention of nutrition information by consumers: label’s location on the package, presentation of information within the label, label’s surface size, and surrounding visual clutter. In this paper, a system is presented that makes nutrition label use more effective for nutrition information comprehension and retention. The system’s front end is a smartphone application. The system’s back end is a four node Linux cluster for image recognition and data storage. Image frames captured on the smartphone are sent to the back end for skewed or aligned barcode recognition. When barcodes are recognized, corresponding nutrition labels are retrieved from a cloud database and presented to the user on the smartphone’s touchscreen. Each displayed nutrition label is positioned centrally on the touchscreen with no surrounding visual clutter. Wikipedia links to important nutrition terms are embedded to improve comprehension and retention of nutrition information. Standard touch gestures (e.g., zoom in/out) available on mainstream smartphones are used to manipulate the label’s surface size. The nutrition label database currently includes 200,000 nutrition labels compiled from public web sites by a custom crawler. Stress test experiments with the node cluster are presented. Implications for proactive nutrition management and food policy are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20computing" title="mobile computing">mobile computing</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20label%20use" title=" nutrition label use"> nutrition label use</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20management" title=" nutrition management"> nutrition management</a>, <a href="https://publications.waset.org/abstracts/search?q=barcode%20scanning" title=" barcode scanning "> barcode scanning </a> </p> <a href="https://publications.waset.org/abstracts/6102/effective-nutrition-label-use-on-smartphones" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6102.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">373</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">920</span> Association of Dietary Intake with the Nutrition Knowledge, Food Label Use, and Food Preferences of Adults in San Jose del Monte City, Bulacan, Philippines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Barby%20Jennette%20A.%20Florano">Barby Jennette A. Florano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dietary intake has been associated with the health and wellbeing of adults, and lifestyle related diseases. The aim of this study was to investigate whether nutrition knowledge, food label use, and food preference are associated with the dietary intake in a sample of San Jose Del Monte City, Bulacan (SJDM) adults. A sample of 148 adults, with a mean age of 20 years, completed a validated questionnaire related to their demographic, dietary intake, nutrition knowledge, food label use and food preference. Data were analyzed using Pearson correlation and there was no association between dietary intake and nutrition knowledge. However, there were positive relationships between dietary intake and food label use (r=0.1276, p<0.10), and dietary intake and food preference (r=0.1070, p<0.10). SJDM adults who use food label and have extensive food preference had better diet quality. This finding magnifies the role of nutrition education as a potential tool in health campaigns to promote healthy eating patterns and reading food labels among students and adults. Results of this study can give information for the design of future nutrition education intervention studies to assess the efficacy of nutrition knowledge and food label use among a similar sample population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dietary%20intake" title="dietary intake">dietary intake</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20knowledge" title=" nutrition knowledge"> nutrition knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20preference" title=" food preference"> food preference</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20label%20use" title=" food label use"> food label use</a> </p> <a href="https://publications.waset.org/abstracts/175413/association-of-dietary-intake-with-the-nutrition-knowledge-food-label-use-and-food-preferences-of-adults-in-san-jose-del-monte-city-bulacan-philippines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175413.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">91</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">919</span> A New Approach for Improving Accuracy of Multi Label Stream Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kunal%20Shah">Kunal Shah</a>, <a href="https://publications.waset.org/abstracts/search?q=Swati%20Patel"> Swati Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many real world problems involve data which can be considered as multi-label data streams. Efficient methods exist for multi-label classification in non streaming scenarios. However, learning in evolving streaming scenarios is more challenging, as the learners must be able to adapt to change using limited time and memory. Classification is used to predict class of unseen instance as accurate as possible. Multi label classification is a variant of single label classification where set of labels associated with single instance. Multi label classification is used by modern applications, such as text classification, functional genomics, image classification, music categorization etc. This paper introduces the task of multi-label classification, methods for multi-label classification and evolution measure for multi-label classification. Also, comparative analysis of multi label classification methods on the basis of theoretical study, and then on the basis of simulation was done on various data sets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=binary%20relevance" title="binary relevance">binary relevance</a>, <a href="https://publications.waset.org/abstracts/search?q=concept%20drift" title=" concept drift"> concept drift</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20stream%20mining" title=" data stream mining"> data stream mining</a>, <a href="https://publications.waset.org/abstracts/search?q=MLSC" title=" MLSC"> MLSC</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20window%20with%20buffer" title=" multiple window with buffer"> multiple window with buffer</a> </p> <a href="https://publications.waset.org/abstracts/33035/a-new-approach-for-improving-accuracy-of-multi-label-stream-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33035.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">584</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">918</span> Label Survey in Romania: A Study on How Consumers Use Food Labeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gabriela%20Iordachescu">Gabriela Iordachescu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariana%20Cretu%20Stuparu"> Mariana Cretu Stuparu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mirela%20Praisler"> Mirela Praisler</a>, <a href="https://publications.waset.org/abstracts/search?q=Camelia%20Busila"> Camelia Busila</a>, <a href="https://publications.waset.org/abstracts/search?q=Doina%20Voinescu"> Doina Voinescu</a>, <a href="https://publications.waset.org/abstracts/search?q=Camelia%20Vizireanu"> Camelia Vizireanu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the study was to evaluate the consumers’ degree of confidence in food labeling, how they use and understand the label and respectively food labeling elements. The label is a bridge between producers, suppliers, and consumers. It has to offer enough information in terms of public health and food safety, statement of ingredients, nutritional information, warnings and advisory statements, producing date and shelf-life, instructions for storage and preparation (if required). The survey was conducted on 500 consumers group in Romania, aged 15+, males and females, from urban and rural areas and with different graduation levels. The questionnaire was distributed face to face and online. It had single or multiple choices questions and label images for the efficiency and best understanding of the question. The law 1169/2011 applied to food products from 13 of December 2016 improved and adapted the requirements for labeling in a clear manner. The questions were divided on following topics: interest and general trust in labeling, use and understanding of label elements, understanding of the ingredient list and safety information, nutrition information, advisory statements, serving sizes, best before/use by meanings, intelligent labeling, and demographic data. Three choice selection exercises were also included. In this case, the consumers had to choose between two similar products and evaluate which label element is most important in product choice. The data were analysed using MINITAB 17 and PCA analysis. Most of the respondents trust the food label, taking into account some elements especially when they buy the first time the product. They usually check the sugar content and type of sugar, saturated fat and use the mandatory label elements and nutrition information panel. Also, the consumers pay attention to advisory statements, especially if one of the items is relevant to them or the family. Intelligent labeling is a challenging option. In addition, the paper underlines that the consumer is more careful and selective with the food consumption and the label is the main helper for these. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consumers" title="consumers">consumers</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20safety%20information" title=" food safety information"> food safety information</a>, <a href="https://publications.waset.org/abstracts/search?q=labeling" title=" labeling"> labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=labeling%20nutritional%20information" title=" labeling nutritional information"> labeling nutritional information</a> </p> <a href="https://publications.waset.org/abstracts/85279/label-survey-in-romania-a-study-on-how-consumers-use-food-labeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85279.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">218</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">917</span> An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented Gradient</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ziad%20Abdallah">Ziad Abdallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20Oueidat"> Mohamad Oueidat</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20El-Zaart"> Ali El-Zaart</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Image Multi-label Classification (IMC) assigns a label or a set of labels to an image. The big demand for image annotation and archiving in the web attracts the researchers to develop many algorithms for this application domain. The existing techniques for IMC have two drawbacks: The description of the elementary characteristics from the image and the correlation between labels are not taken into account. In this paper, we present an algorithm (MIML-HOGLPP), which simultaneously handles these limitations. The algorithm uses the histogram of gradients as feature descriptor. It applies the Label Priority Power-set as multi-label transformation to solve the problem of label correlation. The experiment shows that the results of MIML-HOGLPP are better in terms of some of the evaluation metrics comparing with the two existing techniques. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20retrieval%20system" title=" information retrieval system"> information retrieval system</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-label" title=" multi-label"> multi-label</a>, <a href="https://publications.waset.org/abstracts/search?q=problem%20transformation" title=" problem transformation"> problem transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=histogram%20of%20gradients" title=" histogram of gradients"> histogram of gradients</a> </p> <a href="https://publications.waset.org/abstracts/66645/an-improvement-of-multi-label-image-classification-method-based-on-histogram-of-oriented-gradient" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66645.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">374</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">916</span> The Impact of Artificial Intelligence on Food Nutrition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Antonyous%20Fawzy%20Boshra%20Girgis">Antonyous Fawzy Boshra Girgis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nutrition labels are diet-related health policies. They help individuals improve food-choice decisions and reduce intake of calories and unhealthy food elements, like cholesterol. However, many individuals do not pay attention to nutrition labels or fail to appropriately understand them. According to the literature, thinking and cognitive styles can have significant effects on attention to nutrition labels. According to the author's knowledge, the effect of global/local processing on attention to nutrition labels has not been previously studied. Global/local processing encourages individuals to attend to the whole/specific parts of an object and can have a significant impact on people's visual attention. In this study, this effect was examined with an experimental design using the eye-tracking technique. The research hypothesis was that individuals with local processing would pay more attention to nutrition labels, including nutrition tables and traffic lights. An experiment was designed with two conditions: global and local information processing. Forty participants were randomly assigned to either global or local conditions, and their processing style was manipulated accordingly. Results supported the hypothesis for nutrition tables but not for traffic lights. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nutrition" title="nutrition">nutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20health" title=" public health"> public health</a>, <a href="https://publications.waset.org/abstracts/search?q=SA%20Harvest" title=" SA Harvest"> SA Harvest</a>, <a href="https://publications.waset.org/abstracts/search?q=foodeye-tracking" title=" foodeye-tracking"> foodeye-tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20labelling" title=" nutrition labelling"> nutrition labelling</a>, <a href="https://publications.waset.org/abstracts/search?q=global%2Flocal%20information%20processing" title=" global/local information processing"> global/local information processing</a>, <a href="https://publications.waset.org/abstracts/search?q=individual%20differencesmobile%20computing" title=" individual differencesmobile computing"> individual differencesmobile computing</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20label%20use" title=" nutrition label use"> nutrition label use</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20management" title=" nutrition management"> nutrition management</a>, <a href="https://publications.waset.org/abstracts/search?q=barcode%20scanning" title=" barcode scanning"> barcode scanning</a> </p> <a href="https://publications.waset.org/abstracts/188882/the-impact-of-artificial-intelligence-on-food-nutrition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188882.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">41</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">915</span> The Influence of Noise on Aerial Image Semantic Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pengchao%20Wei">Pengchao Wei</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiangzhong%20Fang"> Xiangzhong Fang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Noise is ubiquitous in this world. Denoising is an essential technology, especially in image semantic segmentation, where noises are generally categorized into two main types i.e. feature noise and label noise. The main focus of this paper is aiming at modeling label noise, investigating the behaviors of different types of label noise on image semantic segmentation tasks using K-Nearest-Neighbor and Convolutional Neural Network classifier. The performance without label noise and with is evaluated and illustrated in this paper. In addition to that, the influence of feature noise on the image semantic segmentation task is researched as well and a feature noise reduction method is applied to mitigate its influence in the learning procedure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title="convolutional neural network">convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=denoising" title=" denoising"> denoising</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20noise" title=" feature noise"> feature noise</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20semantic%20segmentation" title=" image semantic segmentation"> image semantic segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=k-nearest-neighbor" title=" k-nearest-neighbor"> k-nearest-neighbor</a>, <a href="https://publications.waset.org/abstracts/search?q=label%20noise" title=" label noise"> label noise</a> </p> <a href="https://publications.waset.org/abstracts/141479/the-influence-of-noise-on-aerial-image-semantic-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141479.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">220</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">914</span> An Algorithm for the Map Labeling Problem with Two Kinds of Priorities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noboru%20Abe">Noboru Abe</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshinori%20Amai"> Yoshinori Amai</a>, <a href="https://publications.waset.org/abstracts/search?q=Toshinori%20Nakatake"> Toshinori Nakatake</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumio%20Masuda"> Sumio Masuda</a>, <a href="https://publications.waset.org/abstracts/search?q=Kazuaki%20Yamaguchi"> Kazuaki Yamaguchi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We consider the problem of placing labels of the points on a plane. For each point, its position, the size of its label and a priority are given. Moreover, several candidates of its label positions are prespecified, and each of such label positions is assigned a priority. The objective of our problem is to maximize the total sum of priorities of placed labels and their points. By refining a labeling algorithm that can use these priorities, we propose a new heuristic algorithm which is more suitable for treating the assigned priorities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=map%20labeling" title="map labeling">map labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=greedy%20algorithm" title=" greedy algorithm"> greedy algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=heuristic%20algorithm" title=" heuristic algorithm"> heuristic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=priority" title=" priority"> priority</a> </p> <a href="https://publications.waset.org/abstracts/5013/an-algorithm-for-the-map-labeling-problem-with-two-kinds-of-priorities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5013.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">433</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">913</span> Deep learning with Noisy Labels : Learning True Labels as Discrete Latent Variable</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azeddine%20El-Hassouny">Azeddine El-Hassouny</a>, <a href="https://publications.waset.org/abstracts/search?q=Chandrashekhar%20Meshram"> Chandrashekhar Meshram</a>, <a href="https://publications.waset.org/abstracts/search?q=Geraldin%20Nanfack"> Geraldin Nanfack</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, learning from data with noisy labels (Label Noise) has been a major concern in supervised learning. This problem has become even more worrying in Deep Learning, where the generalization capabilities have been questioned lately. Indeed, deep learning requires a large amount of data that is generally collected by search engines, which frequently return data with unreliable labels. In this paper, we investigate the Label Noise in Deep Learning using variational inference. Our contributions are : (1) exploiting Label Noise concept where the true labels are learnt using reparameterization variational inference, while observed labels are learnt discriminatively. (2) the noise transition matrix is learnt during the training without any particular process, neither heuristic nor preliminary phases. The theoretical results shows how true label distribution can be learned by variational inference in any discriminate neural network, and the effectiveness of our approach is proved in several target datasets, such as MNIST and CIFAR32. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=label%20noise" title="label noise">label noise</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=discrete%20latent%20variable" title=" discrete latent variable"> discrete latent variable</a>, <a href="https://publications.waset.org/abstracts/search?q=variational%20inference" title=" variational inference"> variational inference</a>, <a href="https://publications.waset.org/abstracts/search?q=MNIST" title=" MNIST"> MNIST</a>, <a href="https://publications.waset.org/abstracts/search?q=CIFAR32" title=" CIFAR32"> CIFAR32</a> </p> <a href="https://publications.waset.org/abstracts/142809/deep-learning-with-noisy-labels-learning-true-labels-as-discrete-latent-variable" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142809.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">912</span> Scene Classification Using Hierarchy Neural Network, Directed Acyclic Graph Structure, and Label Relations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Po-Jen%20Chen">Po-Jen Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Jian-Jiun%20Ding"> Jian-Jiun Ding</a>, <a href="https://publications.waset.org/abstracts/search?q=Hung-Wei%20Hsu"> Hung-Wei Hsu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chien-Yao%20Wang"> Chien-Yao Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jia-Ching%20Wang"> Jia-Ching Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A more accurate scene classification algorithm using label relations and the hierarchy neural network was developed in this work. In many classification algorithms, it is assumed that the labels are mutually exclusive. This assumption is true in some specific problems, however, for scene classification, the assumption is not reasonable. Because there are a variety of objects with a photo image, it is more practical to assign multiple labels for an image. In this paper, two label relations, which are exclusive relation and hierarchical relation, were adopted in the classification process to achieve more accurate multiple label classification results. Moreover, the hierarchy neural network (hierarchy NN) is applied to classify the image and the directed acyclic graph structure is used for predicting a more reasonable result which obey exclusive and hierarchical relations. Simulations show that, with these techniques, a much more accurate scene classification result can be achieved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title="convolutional neural network">convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=label%20relation" title=" label relation"> label relation</a>, <a href="https://publications.waset.org/abstracts/search?q=hierarchy%20neural%20network" title=" hierarchy neural network"> hierarchy neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=scene%20classification" title=" scene classification"> scene classification</a> </p> <a href="https://publications.waset.org/abstracts/66516/scene-classification-using-hierarchy-neural-network-directed-acyclic-graph-structure-and-label-relations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66516.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">459</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">911</span> Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gorkem%20Algan">Gorkem Algan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ilkay%20Ulusoy"> Ilkay Ulusoy</a>, <a href="https://publications.waset.org/abstracts/search?q=Saban%20Gonul"> Saban Gonul</a>, <a href="https://publications.waset.org/abstracts/search?q=Banu%20Turgut"> Banu Turgut</a>, <a href="https://publications.waset.org/abstracts/search?q=Berker%20Bakbak"> Berker Bakbak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Computer vision systems recently made a big leap thanks to deep neural networks. However, these systems require correctly labeled large datasets in order to be trained properly, which is very difficult to obtain for medical applications. Two main reasons for label noise in medical applications are the high complexity of the data and conflicting opinions of experts. Moreover, medical imaging datasets are commonly tiny, which makes each data very important in learning. As a result, if not handled properly, label noise significantly degrades the performance. Therefore, a label-noise-robust learning algorithm that makes use of the meta-learning paradigm is proposed in this article. The proposed solution is tested on retinopathy of prematurity (ROP) dataset with a very high label noise of 68%. Results show that the proposed algorithm significantly improves the classification algorithm's performance in the presence of noisy labels. <p class="card-text"><strong>Keywords:</strong> <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=label%20noise" title=" label noise"> label noise</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20learning" title=" robust learning"> robust learning</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-learning" title=" meta-learning"> meta-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=retinopathy%20of%20prematurity" title=" retinopathy of prematurity"> retinopathy of prematurity</a> </p> <a href="https://publications.waset.org/abstracts/134242/learning-from-small-amount-of-medical-data-with-noisy-labels-a-meta-learning-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134242.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">161</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">910</span> Semantic Differences between Bug Labeling of Different Repositories via Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pooja%20Khanal">Pooja Khanal</a>, <a href="https://publications.waset.org/abstracts/search?q=Huaming%20Zhang"> Huaming Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Labeling of issues/bugs, also known as bug classification, plays a vital role in software engineering. Some known labels/classes of bugs are 'User Interface', 'Security', and 'API'. Most of the time, when a reporter reports a bug, they try to assign some predefined label to it. Those issues are reported for a project, and each project is a repository in GitHub/GitLab, which contains multiple issues. There are many software project repositories -ranging from individual projects to commercial projects. The labels assigned for different repositories may be dependent on various factors like human instinct, generalization of labels, label assignment policy followed by the reporter, etc. While the reporter of the issue may instinctively give that issue a label, another person reporting the same issue may label it differently. This way, it is not known mathematically if a label in one repository is similar or different to the label in another repository. Hence, the primary goal of this research is to find the semantic differences between bug labeling of different repositories via machine learning. Independent optimal classifiers for individual repositories are built first using the text features from the reported issues. The optimal classifiers may include a combination of multiple classifiers stacked together. Then, those classifiers are used to cross-test other repositories which leads the result to be deduced mathematically. The produce of this ongoing research includes a formalized open-source GitHub issues database that is used to deduce the similarity of the labels pertaining to the different repositories. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bug%20classification" title="bug classification">bug classification</a>, <a href="https://publications.waset.org/abstracts/search?q=bug%20labels" title=" bug labels"> bug labels</a>, <a href="https://publications.waset.org/abstracts/search?q=GitHub%20issues" title=" GitHub issues"> GitHub issues</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20differences" title=" semantic differences"> semantic differences</a> </p> <a href="https://publications.waset.org/abstracts/133701/semantic-differences-between-bug-labeling-of-different-repositories-via-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133701.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">202</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">909</span> Grammar as a Logic of Labeling: A Computer Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jacques%20Lamarche">Jacques Lamarche</a>, <a href="https://publications.waset.org/abstracts/search?q=Juhani%20Dickinson"> Juhani Dickinson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a computational model of a Grammar as Logic of Labeling (GLL), where the lexical primitives of morphosyntax are phonological matrixes, the form of words, understood as labels that apply to realities (or targets) assumed to be outside of grammar altogether. The hypothesis is that even though a lexical label relates to its target arbitrarily, this label in a complex (constituent) label is part of a labeling pattern which, depending on its value (i.e., N, V, Adj, etc.), imposes language-specific restrictions on what it targets outside of grammar (in the world/semantics or in cognitive knowledge). Lexical forms categorized as nouns, verbs, adjectives, etc., are effectively targets of labeling patterns in use. The paper illustrates GLL through a computer model of basic patterns in English NPs. A constituent label is a binary object that encodes: i) alignment of input forms so that labels occurring at different points in time are understood as applying at once; ii) endocentric structuring - every grammatical constituent has a head label that determines the target of the constituent, and a limiter label (the non-head) that restricts this target. The N or A values are restricted to limiter label, the two differing in terms of alignment with a head. Consider the head initial DP ‘the dog’: the label ‘dog’ gets an N value because it is a limiter that is evenly aligned with the head ‘the’, restricting application of the DP. Adapting a traditional analysis of ‘the’ to GLL – apply label to something familiar – the DP targets and identifies one reality familiar to participants by applying to it the label ‘dog’ (singular). Consider next the DP ‘the large dog’: ‘large dog’ is nominal by even alignment with ‘the’, as before, and since ‘dog’ is the head of (head final) ‘large dog’, it is also nominal. The label ‘large’, however, is adjectival by narrow alignment with the head ‘dog’: it doesn’t target the head but targets a property of what dog applies to (a property or value of attribute). In other words, the internal composition of constituents determines that a form targets a property or a reality: ‘large’ and ‘dog’ happen to be valid targets to realize this constituent. In the presentation, the computer model of the analysis derives the 8 possible sequences of grammatical values with three labels after the determiner (the x y z): 1- D [ N [ N N ]]; 2- D [ A [ N N ] ]; 3- D [ N [ A N ] ]; 4- D [ A [ A N ] ]; 5- D [ [ N N ] N ]; 5- D [ [ A N ] N ]; 6- D [ [ N A ] N ] 7- [ [ N A ] N ] 8- D [ [ Adv A ] N ]. This approach that suggests that a computer model of these grammatical patterns could be used to construct ontologies/knowledge using speakers’ judgments about the validity of lexical meaning in grammatical patterns. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=syntactic%20theory" title="syntactic theory">syntactic theory</a>, <a href="https://publications.waset.org/abstracts/search?q=computational%20linguistics" title=" computational linguistics"> computational linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=logic%20and%20grammar" title=" logic and grammar"> logic and grammar</a>, <a href="https://publications.waset.org/abstracts/search?q=semantics" title=" semantics"> semantics</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20and%20grammar" title=" knowledge and grammar"> knowledge and grammar</a> </p> <a href="https://publications.waset.org/abstracts/187462/grammar-as-a-logic-of-labeling-a-computer-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187462.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">908</span> A Fully Automated New-Fangled VESTAL to Label Vertebrae and Intervertebral Discs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Srinivas">R. Srinivas</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20V.%20Ramana"> K. V. Ramana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a novel method called VESTAL to label vertebrae and inter vertebral discs. Each vertebra has certain statistical features properties. To label vertebrae and discs, a new equation to model the path of spinal cord is derived using statistical properties of the spinal canal. VESTAL uses this equation for labeling vertebrae and discs. For each vertebrae and inter vertebral discs both posterior, interior width, height are measured. The calculated values are compared with real values which are measured using venires calipers and the comparison produced 95% efficiency and accurate results. The VESTAL is applied on 50 patients 350 MR images and obtained 100% accuracy in labeling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spine" title="spine">spine</a>, <a href="https://publications.waset.org/abstracts/search?q=vertebrae" title=" vertebrae"> vertebrae</a>, <a href="https://publications.waset.org/abstracts/search?q=inter%20vertebral%20disc" title=" inter vertebral disc"> inter vertebral disc</a>, <a href="https://publications.waset.org/abstracts/search?q=labeling" title=" labeling"> labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=statistics" title=" statistics"> statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=texture" title=" texture"> texture</a>, <a href="https://publications.waset.org/abstracts/search?q=disc" title=" disc"> disc</a> </p> <a href="https://publications.waset.org/abstracts/22624/a-fully-automated-new-fangled-vestal-to-label-vertebrae-and-intervertebral-discs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22624.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">363</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">907</span> Smart Kids Coacher: Model for Childhood Obesity in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pornwipa%20Daoduong">Pornwipa Daoduong</a>, <a href="https://publications.waset.org/abstracts/search?q=Jairak%20Loysongkroa"> Jairak Loysongkroa</a>, <a href="https://publications.waset.org/abstracts/search?q=Napaphan%20Viriyautsahakul"> Napaphan Viriyautsahakul</a>, <a href="https://publications.waset.org/abstracts/search?q=Wachira%20Pengjuntr"> Wachira Pengjuntr</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is on of serious health problem in many countries including Thailand where the prevalence of childhood obesity has increased from 8.8 % in 2014 to 9.5 % in 2015 and 12.9 % in 2016. The Ministry of Public Health’s objective is to reduce prevalence of childhood Obesity to 10% or lower in 2017, by implementing the measure in relation to nutrition, physical activity (PA) and environment in 6,405 targeted school with proportion of school children with obesity is higher than 10 %. Smart Kids Coacher (SKC)” is a new innovative intervention created by Department of Health and consists of 252 regional and provincial officers. The SKC aims to train the super trainers about food and nutrition.PA and emotional control through implementing three learning activities including 1) Food for Fun is about Nutrition flag, Nutrition label, food portion and Nutrition surveillance; 2) Fun for Fit includes intermediated- and advanced level workouts within 60 minutes such as kangaroo dance, Chair stretching; and 3) Control emotional is about to prevent probability of access to unhealthy food, to ensure for having meal in appropriate time, and to recruit peers and family member to increase awareness among target groups. Apart from providing SKC lesson for 3,828 officers at district level, a number of students (2,176) as role model are selected through implementing “Smart Kids Leader: (SKL)”.Consequently. The SKC lowers proportion of childhood obesity from 17% in 2012 to 12.9% in 2016. Further, the SKC coverage should be expanded to other setting. Policy maker should be aware of the important of reduction of the prevalence of childhood obesity, and it’s related risk. Network and Collaboration between stakeholders are essential as well as an improvement of holistic intervention and knowledge “NuPETHS” for kids in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=childhood%20obesity" title="childhood obesity">childhood obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=model" title=" model"> model</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20kids%20coacher" title=" smart kids coacher"> smart kids coacher</a> </p> <a href="https://publications.waset.org/abstracts/60930/smart-kids-coacher-model-for-childhood-obesity-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60930.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">244</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">906</span> Establishment of Thuja Label: Development Prospects for the Marketing Practices of the Handicraft of Essaouira's Marquetry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatima%20El%20Kandoussi">Fatima El Kandoussi</a>, <a href="https://publications.waset.org/abstracts/search?q=Lamiae%20El%20Hdiddioui"> Lamiae El Hdiddioui</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustapha%20Bouragba"> Mustapha Bouragba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The woodwork of thuja in Essaouira is one of the main crafts in Morocco. Certainly, marquetry reflects both cultural and artistic identity of the city, considering the talent and ancestral knowledge of craftsman working in marquetry. Yet, the production units encounter a considerable number of difficulties among which insufficiencies within marketing practices. Consequently, it is obvious that major improvements are needed, and supportive solutions must be provided in order to improve the Essaouira’s marquetry, as a symbol of the entire province. Thus, the establishment of Thuja Label is a necessary measure that would be the key to ensuring sustainability of this vital craft. The main purpose of this paper is to study marketing practices’ current state of the production units in the marquetry of Essaouira, therefore to recommend remedial actions likely to raise them up to the required functional level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=craft" title="craft">craft</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20practices" title=" marketing practices"> marketing practices</a>, <a href="https://publications.waset.org/abstracts/search?q=marquetry" title=" marquetry"> marquetry</a>, <a href="https://publications.waset.org/abstracts/search?q=thuja%20label" title=" thuja label"> thuja label</a> </p> <a href="https://publications.waset.org/abstracts/97728/establishment-of-thuja-label-development-prospects-for-the-marketing-practices-of-the-handicraft-of-essaouiras-marquetry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97728.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">198</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">905</span> Non-Fungible Token (NFT) - Used in the Music Industry for Independent Artists without a Music Recording Label</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bartholomew%20Badar">Bartholomew Badar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An NFT is a digital certificate with rights to own an asset, including various valuable digital goods such as art pieces, music items, collectibles, etc. The market for NFTs started developing in 2017 and has lately seen increased growth as crypto-currencies and the blockchain market continue to gain popularity. This study aims to understand potential uses for NFTs concerning the music industry and record labels. Independent artists struggle to distribute and sell their music without the help of a record label. The NFT marketplace could be a great tool to eliminate this problem. The research objective is to identify possibilities for independent artists to own their music rights and share value with an audience. We see a trend of new-school music artists trying to enter the music NFT market by creating visualizers, beats, cover art, etc. To analyze various existing music NFT assets and determine whether or not independent artists could monetize their music without a record label is the main focus of this scholarly paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blockchain" title="blockchain">blockchain</a>, <a href="https://publications.waset.org/abstracts/search?q=crypto-currency" title=" crypto-currency"> crypto-currency</a>, <a href="https://publications.waset.org/abstracts/search?q=music" title=" music"> music</a>, <a href="https://publications.waset.org/abstracts/search?q=artist" title=" artist"> artist</a>, <a href="https://publications.waset.org/abstracts/search?q=NFT" title=" NFT"> NFT</a> </p> <a href="https://publications.waset.org/abstracts/144397/non-fungible-token-nft-used-in-the-music-industry-for-independent-artists-without-a-music-recording-label" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144397.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">904</span> A Supervised Face Parts Labeling Framework</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khalil%20Khan">Khalil Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ikram%20Syed"> Ikram Syed</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Ehsan%20Mazhar"> Muhammad Ehsan Mazhar</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran%20Uddin"> Iran Uddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Nasir%20Ahmad"> Nasir Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Face parts labeling is the process of assigning class labels to each face part. A face parts labeling method (FPL) which divides a given image into its constitutes parts is proposed in this paper. A database FaceD consisting of 564 images is labeled with hand and make publically available. A supervised learning model is built through extraction of features from the training data. The testing phase is performed with two semantic segmentation methods, i.e., pixel and super-pixel based segmentation. In pixel-based segmentation class label is provided to each pixel individually. In super-pixel based method class label is assigned to super-pixel only – as a result, the same class label is given to all pixels inside a super-pixel. Pixel labeling accuracy reported with pixel and super-pixel based methods is 97.68 % and 93.45% respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=face%20labeling" title="face labeling">face labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20segmentation" title=" semantic segmentation"> semantic segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=face%20segmentation" title=" face segmentation"> face segmentation</a> </p> <a href="https://publications.waset.org/abstracts/94715/a-supervised-face-parts-labeling-framework" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94715.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">255</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">903</span> Exo-III Assisted Amplification Strategy through Target Recycling of Hg²⁺ Detection in Water: A GNP Based Label-Free Colorimetry Employing T-Rich Hairpin-Loop Metallobase</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Ghaffar%20Memon">Abdul Ghaffar Memon</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiao%20Hong%20Zhou"> Xiao Hong Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunpeng%20Xing"> Yunpeng Xing</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruoyu%20Wang"> Ruoyu Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Miao%20He"> Miao He</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to deleterious environmental and health effects of the Hg²⁺ ions, various online, detection methods apart from the traditional analytical tools have been developed by researchers. Biosensors especially, label, label-free, colorimetric and optical sensors have advanced with sensitive detection. However, there remains a gap of ultrasensitive quantification as noise interact significantly especially in the AuNP based label-free colorimetry. This study reported an amplification strategy using Exo-III enzyme for target recycling of Hg²⁺ ions in a T-rich hairpin loop metallobase label-free colorimetric nanosensor with an improved sensitivity using unmodified gold nanoparticles (uGNPs) as an indicator. The two T-rich metallobase hairpin loop structures as 5’- CTT TCA TAC ATA GAA AAT GTA TGT TTG -3 (HgS1), and 5’- GGC TTT GAG CGC TAA GAA A TA GCG CTC TTT G -3’ (HgS2) were tested in the study. The thermodynamic properties of HgS1 and HgS2 were calculated using online tools (http://biophysics.idtdna.com/cgi-bin/meltCalculator.cgi). The lab scale synthesized uGNPs were utilized in the analysis. The DNA sequence had T-rich bases on both tails end, which in the presence of Hg²⁺ forms a T-Hg²⁺-T mismatch, promoting the formation of dsDNA. Later, the Exo-III incubation enable the enzyme to cleave stepwise mononucleotides from the 3’ end until the structure become single-stranded. These ssDNA fragments then adsorb on the surface of AuNPs in their presence and protect AuNPs from the induced salt aggregation. The visible change in color from blue (aggregation stage in the absence of Hg²⁺) and pink (dispersion state in the presence of Hg²⁺ and adsorption of ssDNA fragments) can be observed and analyzed through UV spectrometry. An ultrasensitive quantitative nanosensor employing Exo-III assisted target recycling of mercury ions through label-free colorimetry with nanomolar detection using uGNPs have been achieved and is further under the optimization to achieve picomolar range by avoiding the influence of the environmental matrix. The proposed strategy will supplement in the direction of uGNP based ultrasensitive, rapid, onsite, label-free colorimetric detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=colorimetric" title="colorimetric">colorimetric</a>, <a href="https://publications.waset.org/abstracts/search?q=Exo-III" title=" Exo-III"> Exo-III</a>, <a href="https://publications.waset.org/abstracts/search?q=gold%20nanoparticles" title=" gold nanoparticles"> gold nanoparticles</a>, <a href="https://publications.waset.org/abstracts/search?q=Hg%C2%B2%E2%81%BA%20detection" title=" Hg²⁺ detection"> Hg²⁺ detection</a>, <a href="https://publications.waset.org/abstracts/search?q=label-free" title=" label-free"> label-free</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20amplification" title=" signal amplification"> signal amplification</a> </p> <a href="https://publications.waset.org/abstracts/90654/exo-iii-assisted-amplification-strategy-through-target-recycling-of-hg2-detection-in-water-a-gnp-based-label-free-colorimetry-employing-t-rich-hairpin-loop-metallobase" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90654.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">311</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">902</span> Challenges and Pitfalls of Nutrition Labeling Policy in Iran: A Policy Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sareh%20Edalati">Sareh Edalati</a>, <a href="https://publications.waset.org/abstracts/search?q=Nasrin%20Omidvar"> Nasrin Omidvar</a>, <a href="https://publications.waset.org/abstracts/search?q=Arezoo%20Haghighian%20Roudsari"> Arezoo Haghighian Roudsari</a>, <a href="https://publications.waset.org/abstracts/search?q=Delaram%20Ghodsi"> Delaram Ghodsi</a>, <a href="https://publications.waset.org/abstracts/search?q=Azizollaah%20Zargaran"> Azizollaah Zargaran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and aim: Improving consumer’s food choices and providing a healthy food environment by governments is one of the essential approaches to prevent non-communicable diseases and to fulfill the sustainable development goals (SDGs). The present study aimed to provide an analysis of the nutrition labeling policy as one of the main components of the healthy food environment to provide learning lessons for the country and other low and middle-income countries. Methods: Data were collected by reviewing documents and conducting semi-structured interviews with stakeholders. Respondents were selected through purposive and snowball sampling and continued until data saturation. MAXQDA software was used to manage data analysis. A deductive content analysis was used by applying the Kingdon multiple streams and the policy triangulation framework. Results: Iran is the first country in the Middle East and North Africa region, which has implemented nutrition traffic light labeling. The implementation process has gone through two phases: voluntary and mandatory. In the voluntary labeling, volunteer food manufacturers who chose to have the labels would receive an honorary logo and this helped to reduce the food-sector resistance gradually. After this phase, the traffic light labeling became mandatory. Despite these efforts, there has been poor involvement of media for public awareness and sensitization. Also, the inconsistency of nutrition traffic light colors which are based on food standard guidelines, lack of consistency between nutrition traffic light colors, the healthy/unhealthy nature of some food products such as olive oil and diet cola and the absence of a comprehensive evaluation plan were among the pitfalls and policy challenges identified. Conclusions: Strengthening the governance through improving collaboration within health and non-health sectors for implementation, more transparency of truthfulness of nutrition traffic labeling initiating with real ingredients, and applying international and local scientific evidence or any further revision of the program is recommended. Also, developing public awareness campaigns and revising school curriculums to improve students’ skills on nutrition label applications should be highly emphasized. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nutrition%20labeling" title="nutrition labeling">nutrition labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=policy%20analysis" title=" policy analysis"> policy analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20environment" title=" food environment"> food environment</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran "> Iran </a> </p> <a href="https://publications.waset.org/abstracts/114368/challenges-and-pitfalls-of-nutrition-labeling-policy-in-iran-a-policy-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114368.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">192</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">901</span> Label Free Detection of Small Molecules Using Surface-Enhanced Raman Spectroscopy with Gold Nanoparticles Synthesized with Various Capping Agents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Khan">Zahra Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Surface-Enhanced Raman Spectroscopy (SERS) has received increased attention in recent years, focusing on biological and medical applications due to its great sensitivity as well as molecular specificity. In the context of biological samples, there are generally two methodologies for SERS based applications: label-free detection and the use of SERS tags. The necessity of tagging can make the process slower and limits the use for real life. Label-free detection offers the advantage that it reports direct spectroscopic evidence associated with the target molecule rather than the label. Reproducible, highly monodisperse gold nanoparticles (Au NPs) were synthesized using a relatively facile seed-mediated growth method. Different capping agents (TRIS, citrate, and CTAB) were used during synthesis, and characterization was performed. They were then mixed with different analyte solutions before drop-casting onto a glass slide prior to Raman measurements to see which NPs displayed the highest SERS activity as well as their stability. A host of different analytes were tested, both non-biomolecules and biomolecules, which were all successfully detected using this method at concentrations as low as 10-3M with salicylic acid reaching a detection limit in the nanomolar range. SERS was also performed on samples with a mixture of analytes present, whereby peaks from both target molecules were distinctly observed. This is a fast and effective rapid way of testing samples and offers potential applications in the biomedical field as a tool for diagnostic and treatment purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gold%20nanoparticles" title="gold nanoparticles">gold nanoparticles</a>, <a href="https://publications.waset.org/abstracts/search?q=label%20free" title=" label free"> label free</a>, <a href="https://publications.waset.org/abstracts/search?q=seed-mediated%20growth" title=" seed-mediated growth"> seed-mediated growth</a>, <a href="https://publications.waset.org/abstracts/search?q=SERS" title=" SERS"> SERS</a> </p> <a href="https://publications.waset.org/abstracts/134630/label-free-detection-of-small-molecules-using-surface-enhanced-raman-spectroscopy-with-gold-nanoparticles-synthesized-with-various-capping-agents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134630.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">900</span> How Consumers Perceive Health and Nutritional Information and How It Affects Their Purchasing Behavior: Comparative Study between Colombia and the Dominican Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Herrera%20Gonzalez">Daniel Herrera Gonzalez</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Luisa%20Montas"> Maria Luisa Montas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There are some factors affecting consumer decision-making regarding the use of the front of package labels in order to find benefits to the well-being of the human being. Currently, there are several labels that help influence or change the purchase decision for food products. These labels communicate the impact that food has on human health; therefore, consumers are more critical and intelligent when buying and consuming food products. The research explores the association between front-of-pack labeling and food choice; the association between label content and purchasing decisions is complex and influenced by different factors, including the packaging itself. The main objective of this study was to examine the perception of health labels and nutritional declarations and their influence on buying decisions in the non-alcoholic beverages sector. This comparative study of two developing countries will show how consumers take nutritional labels into account when deciding to buy certain foods. This research applied a quantitative methodology with correlational scope. This study has a correlational approach in order to analyze the degree of association between variables. Likewise, the confirmatory factor analysis (CFA) method and structural equation modeling (SEM) as a powerful multivariate technique was used as statistical technique to find the relationships between observable and unobservable variables. The main findings of this research were the obtaining of three large groups and their perception and effects on nutritional and wellness labels. The first group is characterized by taking an attitude of high interest on the issue of the imposition of the nutritional information label on products and would agree that all products should be packaged given its importance to preventing illnesses in the consumer. Likewise, they almost always care about the brand, the size, the list of ingredients, and nutritional information of the food, and also the effect of these on health. The second group stands out for presenting some interest in the importance of the label on products as a purchase decision, in addition to almost always taking into account the characteristics of size, money, components, etc. of the products to decide on their consumption and almost always They are never interested in the effect of these products on their health or nutrition, and in group 3, it differs from the others by being more neutral regarding the issue of nutritional information labels, and being less interested in the purchase decision and characteristics of the product and also on the influence of these on health and nutrition. This new knowledge is essential for different companies that manufacture and market food products because they will have information to adapt or anticipate the new laws of developing countries as well as the new needs of health-conscious consumers when they buy food products. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=healthy%20labels" title="healthy labels">healthy labels</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20behavior" title=" consumer behavior"> consumer behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=nutritional%20information" title=" nutritional information"> nutritional information</a>, <a href="https://publications.waset.org/abstracts/search?q=healthy%20products" title=" healthy products"> healthy products</a> </p> <a href="https://publications.waset.org/abstracts/152580/how-consumers-perceive-health-and-nutritional-information-and-how-it-affects-their-purchasing-behavior-comparative-study-between-colombia-and-the-dominican-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152580.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">107</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">899</span> A Meta Regression Analysis to Detect Price Premium Threshold for Eco-Labeled Seafood </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cristina%20Giosu%C3%A8">Cristina Giosuè</a>, <a href="https://publications.waset.org/abstracts/search?q=Federica%20Biondo"> Federica Biondo</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergio%20Vitale"> Sergio Vitale</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the last years, the consumers' awareness for environmental concerns has been increasing, and seafood eco-labels are considered as a possible instrument to improve both seafood markets and sustainable fishing management. In this direction, the aim of this study was to carry out a meta-analysis on consumers’ willingness to pay (WTP) for eco-labeled wild seafood, by a meta-regression. Therefore, only papers published on ISI journals were searched on “Web of Knowledge” and “SciVerse Scopus” platforms, using the combinations of the following key words: seafood, ecolabel, eco-label, willingness, WTP and premium. The dataset was built considering: paper’s and survey’s codes, year of publication, first author’s nationality, species’ taxa and family, sample size, survey’s continent and country, data collection (where and how), gender and age of consumers, brand and ΔWTP. From analysis the interest on eco labeled seafood emerged clearly, in particular in developed countries. In general, consumers declared greater willingness to pay than that actually applied for eco-label products, with difference related to taxa and brand. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eco%20label" title="eco label">eco label</a>, <a href="https://publications.waset.org/abstracts/search?q=meta%20regression" title=" meta regression"> meta regression</a>, <a href="https://publications.waset.org/abstracts/search?q=seafood" title=" seafood"> seafood</a>, <a href="https://publications.waset.org/abstracts/search?q=willingness%20to%20pay" title=" willingness to pay"> willingness to pay</a> </p> <a href="https://publications.waset.org/abstracts/122921/a-meta-regression-analysis-to-detect-price-premium-threshold-for-eco-labeled-seafood" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122921.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">122</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">898</span> Assessment of Highly Sensitive Dielectric Modulated GaN-FinFET for Label-Free Biosensing Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ajay%20Kumar">Ajay Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Neha%20Gupta"> Neha Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents the sensitivity assessment of Gallium Nitride (GaN) material-based FinFET by dielectric modulation in the nanocavity gap for label-free biosensing applications. The significant deflection is observed in the electrical characteristics such as drain current (ID), transconductance (gm), surface potential, energy band profile, electric field, sub-threshold slope (SS), and threshold voltage (Vth) in the presence of biomolecules owing to GaN material. Further, the device sensitivity is evaluated to identify the effectiveness of the proposed biosensor and its capability to detect the biomolecules with high precision or accuracy. Higher sensitivity is observed for Gelatin (k=12) in terms of on-current (SION), threshold voltage (SVth), and switching ratio (SSR) by 104.88%, 82.12%, and 119.73%, respectively. This work is performed using a powerful tool 3D Sentaurus TCAD using a well-calibrated structure. All the results pave the way for GaN-FinFET as a viable candidate for label-free dielectric modulated biosensor applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biosensor" title="biosensor">biosensor</a>, <a href="https://publications.waset.org/abstracts/search?q=biomolecules" title=" biomolecules"> biomolecules</a>, <a href="https://publications.waset.org/abstracts/search?q=FinFET" title=" FinFET"> FinFET</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity" title=" sensitivity"> sensitivity</a> </p> <a href="https://publications.waset.org/abstracts/153336/assessment-of-highly-sensitive-dielectric-modulated-gan-finfet-for-label-free-biosensing-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153336.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">205</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">897</span> Information Processing and Visual Attention: An Eye Tracking Study on Nutrition Labels</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rosa%20Hendijani">Rosa Hendijani</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20Ghadimi%20Herfeh"> Amir Ghadimi Herfeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nutrition labels are diet-related health policies. They help individuals improve food-choice decisions and reduce intake of calories and unhealthy food elements, like cholesterol. However, many individuals do not pay attention to nutrition labels or fail to appropriately understand them. According to the literature, thinking and cognitive styles can have significant effects on attention to nutrition labels. According to the author's knowledge, the effect of global/local processing on attention to nutrition labels have not been previously studied. Global/local processing encourages individuals to attend to the whole/specific parts of an object and can have a significant impact on people's visual attention. In this study, this effect was examined with an experimental design using the eye-tracking technique. The research hypothesis was that individuals with local processing would pay more attention to nutrition labels, including nutrition tables and traffic lights. An experiment was designed with two conditions: global and local information processing. Forty participants were randomly assigned to either global or local conditions, and their processing style was manipulated accordingly. Results supported the hypothesis for nutrition tables but not for traffic lights. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=eye-tracking" title="eye-tracking">eye-tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrition%20labelling" title=" nutrition labelling"> nutrition labelling</a>, <a href="https://publications.waset.org/abstracts/search?q=global%2Flocal%20information%20processing" title=" global/local information processing"> global/local information processing</a>, <a href="https://publications.waset.org/abstracts/search?q=individual%20differences" title=" individual differences"> individual differences</a> </p> <a href="https://publications.waset.org/abstracts/132051/information-processing-and-visual-attention-an-eye-tracking-study-on-nutrition-labels" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132051.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">159</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">896</span> Automatic Extraction of Arbitrarily Shaped Buildings from VHR Satellite Imagery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evans%20Belly">Evans Belly</a>, <a href="https://publications.waset.org/abstracts/search?q=Imdad%20Rizvi"> Imdad Rizvi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20M.%20Kadam"> M. M. Kadam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Satellite imagery is one of the emerging technologies which are extensively utilized in various applications such as detection/extraction of man-made structures, monitoring of sensitive areas, creating graphic maps etc. The main approach here is the automated detection of buildings from very high resolution (VHR) optical satellite images. Initially, the shadow, the building and the non-building regions (roads, vegetation etc.) are investigated wherein building extraction is mainly focused. Once all the landscape is collected a trimming process is done so as to eliminate the landscapes that may occur due to non-building objects. Finally the label method is used to extract the building regions. The label method may be altered for efficient building extraction. The images used for the analysis are the ones which are extracted from the sensors having resolution less than 1 meter (VHR). This method provides an efficient way to produce good results. The additional overhead of mid processing is eliminated without compromising the quality of the output to ease the processing steps required and time consumed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20detection" title="building detection">building detection</a>, <a href="https://publications.waset.org/abstracts/search?q=shadow%20detection" title=" shadow detection"> shadow detection</a>, <a href="https://publications.waset.org/abstracts/search?q=landscape%20generation" title=" landscape generation"> landscape generation</a>, <a href="https://publications.waset.org/abstracts/search?q=label" title=" label"> label</a>, <a href="https://publications.waset.org/abstracts/search?q=partitioning" title=" partitioning"> partitioning</a>, <a href="https://publications.waset.org/abstracts/search?q=very%20high%20resolution%20%28VHR%29%20satellite%20imagery" title=" very high resolution (VHR) satellite imagery"> very high resolution (VHR) satellite imagery</a> </p> <a href="https://publications.waset.org/abstracts/76690/automatic-extraction-of-arbitrarily-shaped-buildings-from-vhr-satellite-imagery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76690.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">314</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">895</span> Literature Analysis of Nutrition in South Africa and How SA Harvest Aims to Improve Nutrition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Conn">Ali Conn</a>, <a href="https://publications.waset.org/abstracts/search?q=Kimberly%20Allen"> Kimberly Allen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Food and nutrition play a significant role in humans. It helps them function, grow, and develop into better individuals. However, as essential as food may seem to most people, it is not the case for everyone. South Africans, for example, have been suffering from hunger and poverty for the longest time now. With the spread of the COVID-19 virus, their situations have become worse. Millions of children and their families do not have access to food, hence no proper nutrition. They could barely make ends meet, so they make sure to make the most of what little they have for their household. Fortunately, organizations like SA Harvest aim to end hunger in South Africa. However, they still need to know more about how they can help South Africans with their current diet. Currently, most of the diets are composed of maize and rice. They do not have much to spend on fruits, so these commodities are seen as a luxury. With the help of organizations like SA Harvest, South Africans will be educated and more aware of what they need to eat. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nutrition" title="nutrition">nutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20health" title=" public health"> public health</a>, <a href="https://publications.waset.org/abstracts/search?q=SA%20Harvest" title=" SA Harvest"> SA Harvest</a>, <a href="https://publications.waset.org/abstracts/search?q=food" title=" food"> food</a> </p> <a href="https://publications.waset.org/abstracts/146863/literature-analysis-of-nutrition-in-south-africa-and-how-sa-harvest-aims-to-improve-nutrition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146863.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">894</span> Effects of Maternal Nutrition at Different Stages of Pregnancy in Bali Cows on Growth Performance of the Offspring to Weaning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20P.%20Rahardja">D. P. Rahardja</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20L.%20Toleng"> A. L. Toleng</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Yusuf"> M. Yusuf </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this study was to investigate the life-long effect of in utero nutrition fed at different stages of pregnancy in Bali cows (n = 40): (U1) without in utero nutrition (0 – parturition, negative control); (U2) 0 – 90 d of gestation; (U3) 90 - 180 d of gestation; (U4) 180 d – parturition; and (U5) in utero nutrition along gestation period (0 d to parturition – positive control) on the growth performance of the offspring to weaning age. The results indicated that effect of maternal nutrition on male and female offspring were particularly indicated by the growth performance of both the male and female offspring from birth to weaning. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bali%20cows" title="Bali cows">Bali cows</a>, <a href="https://publications.waset.org/abstracts/search?q=birth%20weight" title=" birth weight"> birth weight</a>, <a href="https://publications.waset.org/abstracts/search?q=maternal%20nutrition" title=" maternal nutrition"> maternal nutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-weaning%20daily%20gain" title=" pre-weaning daily gain"> pre-weaning daily gain</a>, <a href="https://publications.waset.org/abstracts/search?q=weaning%20weight" title=" weaning weight "> weaning weight </a> </p> <a href="https://publications.waset.org/abstracts/8557/effects-of-maternal-nutrition-at-different-stages-of-pregnancy-in-bali-cows-on-growth-performance-of-the-offspring-to-weaning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8557.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">312</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">893</span> Investigation of Supply and Demand Trends in Diabetes Nutrition Counseling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maedeh%20Gharazi">Maedeh Gharazi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distinguishing proof of entrepreneurial open doors in the field of nutrition counseling is a focal issue in utilizing nutrition experts and addressing the needs of patients with chronic diseases better. To this end, this review has been directed keeping in mind the end goal to investigate the supply and interest patterns of diabetes sustenance advising as a fundamental stride toward recognizing the entrepreneurial open doors for nutrition advisors in Tehran, Iran. To execute this expressive overview concentrate on, a survey in light of Likert scale was sent via email to 100 dynamic experts in the field of nutrition counseling services in Tehran, of whom 52 reacted to its inquiries. At that point, the mean estimations of members' reactions were ascertained utilizing SPSS programming and contrasted to each other. The outcome acquired in view of members' reactions uncovered that the requirement for "healthful guiding as a treatment group" was basically not met in diverse age, training and salary gatherings of diabetic patients. Along these lines, nutrition counseling as a treatment group can be considered as a suitable field for entrepreneurial exercises. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nutrition%20counseling" title="nutrition counseling">nutrition counseling</a>, <a href="https://publications.waset.org/abstracts/search?q=chronic%20diseases" title=" chronic diseases"> chronic diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetes" title=" diabetes"> diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=likert%20scale" title=" likert scale"> likert scale</a>, <a href="https://publications.waset.org/abstracts/search?q=SPSS%20programming" title=" SPSS programming"> SPSS programming</a> </p> <a href="https://publications.waset.org/abstracts/32757/investigation-of-supply-and-demand-trends-in-diabetes-nutrition-counseling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32757.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">892</span> Investigation of Various Physical and Physiological Properties of Ethiopian Elite Men Distances Runners</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Getaye%20Fisseha%20Gelaw">Getaye Fisseha Gelaw</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study was to investigate the key physical and physiological characteristics of 16 elite male Ethiopian national team distance runners, who have an average age of 28.1±4.3 years, a height of 175.0 ±5.6 cm, a weight of 59.1 ±3.9 kg, a BMI of 19.6 ±1.5, and training age of 10.1 ±5.1 yrs. The average weekly distance is 196.3±13.8 km, the average 10,000m time is 27:14±0.5 min sec, the average half marathon time is 59:30±0.6 min sec, the average marathon time is 2hr 03min 39sec±0.02. In addition, the average Cooper test (12-minute run test) is 4525.4±139.7 meters, and the average VO2 max is 90.8±3.1ml/kg/m. All athletes have a high profile and compete on the international label, and according to the World Athletics athletes' ranking system in 2021, 56.3% of the 16 participants were platinum label status, while the remaining 43.7 % were gold label status-completed an incremental treadmill test for the assessment of VO2peak, submaximal running, lactate threshold and test during which they ran continuously at 21 km/h. The laboratory determined VO2peak was 91.4 ± 1.7 mL/kg/min with anaerobic threshold of 74.2±1.6 mL/min/Kg and VO2max 81%. The speed at the AT is 15.9 ±0.6 Kmh and the altitude is 4,0%. The respiratory compensation RC point was reached at 88.7±1.1 mL/min/Kg and 97% of VO2 max. On RCP, the speed is 17.6 ±0.4 km/h and the altitude/slope are 5.5% percent, and the speed at Maximum effort is 19.5 ±1.5 and the elevation is 6.0%. The data also suggest that Ethiopian distance top athletes have considerably higher VO2 max values than those found in earlier research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=long-distance%20running" title="long-distance running">long-distance running</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopians" title=" Ethiopians"> Ethiopians</a>, <a href="https://publications.waset.org/abstracts/search?q=VO2%20max" title=" VO2 max"> VO2 max</a>, <a href="https://publications.waset.org/abstracts/search?q=world%20athletics" title=" world athletics"> world athletics</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric" title=" anthropometric"> anthropometric</a> </p> <a href="https://publications.waset.org/abstracts/149125/investigation-of-various-physical-and-physiological-properties-of-ethiopian-elite-men-distances-runners" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149125.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">129</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=nutrition%20label%20use&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=nutrition%20label%20use&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=nutrition%20label%20use&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=nutrition%20label%20use&page=5">5</a></li> <li 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