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Rank</title> <meta name="description" content="Search results for: Kyle Rank"> <meta name="keywords" content="Kyle Rank"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="Kyle Rank" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li 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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="Kyle Rank"> <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> 471</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Kyle Rank</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">471</span> Irreducible Sign Patterns of Minimum Rank of 3 and Symmetric Sign Patterns That Allow Diagonalizability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sriparna%20Bandopadhyay">Sriparna Bandopadhyay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is known that irreducible sign patterns in general may not allow diagonalizability and in particular irreducible sign patterns with minimum rank greater than or equal to 4. It is also known that every irreducible sign pattern matrix with minimum rank of 2 allow diagonalizability with rank of 2 and the maximum rank of the sign pattern. In general sign patterns with minimum rank of 3 may not allow diagonalizability if the condition of irreducibility is dropped, but the problem of whether every irreducible sign pattern with minimum rank of 3 allows diagonalizability remains open. In this paper it is shown that irreducible sign patterns with minimum rank of 3 under certain conditions on the underlying graph allow diagonalizability. An alternate proof of the results that every sign pattern matrix with minimum rank of 2 and no zero lines allow diagonalizability with rank of 2 and also that every full sign pattern allows diagonalizability with all permissible ranks of the sign pattern is given. Some open problems regarding composite cycles in an irreducible symmetric sign pattern that support of a rank principal certificate are also answered. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=irreducible%20sign%20patterns" title="irreducible sign patterns">irreducible sign patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=minimum%20rank" title=" minimum rank"> minimum rank</a>, <a href="https://publications.waset.org/abstracts/search?q=symmetric%20sign%20patterns" title=" symmetric sign patterns"> symmetric sign patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20-principal%20certificate" title=" rank -principal certificate"> rank -principal certificate</a>, <a href="https://publications.waset.org/abstracts/search?q=allowing%20diagonalizability" title=" allowing diagonalizability"> allowing diagonalizability</a> </p> <a href="https://publications.waset.org/abstracts/173597/irreducible-sign-patterns-of-minimum-rank-of-3-and-symmetric-sign-patterns-that-allow-diagonalizability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173597.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">98</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">470</span> Some Results on the Generalized Higher Rank Numerical Ranges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohsen%20Zahraei">Mohsen Zahraei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> ‎In this paper, ‎the notion of ‎rank-k numerical range of rectangular complex matrix polynomials‎ ‎are introduced. ‎Some algebraic and geometrical properties are investigated. ‎Moreover, ‎for ε>0 the notion of Birkhoff-James approximate orthogonality sets for ε-higher ‎rank numerical ranges of rectangular matrix polynomials is also introduced and studied. ‎The proposed definitions yield a natural generalization of the standard higher rank numerical ranges. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=%E2%80%8E%E2%80%8ERank-k%20numerical%20range%E2%80%8E" title="‎‎Rank-k numerical range‎">‎‎Rank-k numerical range‎</a>, <a href="https://publications.waset.org/abstracts/search?q=%E2%80%8Eisometry%E2%80%8E" title=" ‎isometry‎"> ‎isometry‎</a>, <a href="https://publications.waset.org/abstracts/search?q=%E2%80%8Enumerical%20range%E2%80%8E" title=" ‎numerical range‎"> ‎numerical range‎</a>, <a href="https://publications.waset.org/abstracts/search?q=%E2%80%8Erectangular%20matrix%20polynomials" title=" ‎rectangular matrix polynomials"> ‎rectangular matrix polynomials</a> </p> <a href="https://publications.waset.org/abstracts/28955/some-results-on-the-generalized-higher-rank-numerical-ranges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28955.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">469</span> Choosing between the Regression Correlation, the Rank Correlation, and the Correlation Curve</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roger%20L.%20Goodwin">Roger L. Goodwin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a rank correlation curve. The traditional correlation coefficient is valid for both continuous variables and for integer variables using rank statistics. Since the correlation coefficient has already been established in rank statistics by Spearman, such a calculation can be extended to the correlation curve. This paper presents two survey questions. The survey collected non-continuous variables. We will show weak to moderate correlation. Obviously, one question has a negative effect on the other. A review of the qualitative literature can answer which question and why. The rank correlation curve shows which collection of responses has a positive slope and which collection of responses has a negative slope. Such information is unavailable from the flat, "first-glance" correlation statistics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20estimation" title="Bayesian estimation">Bayesian estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20model" title=" regression model"> regression model</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20statistics" title=" rank statistics"> rank statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation" title=" correlation"> correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation%20curve" title=" correlation curve"> correlation curve</a> </p> <a href="https://publications.waset.org/abstracts/9847/choosing-between-the-regression-correlation-the-rank-correlation-and-the-correlation-curve" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9847.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">477</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">468</span> Developing HRCT Criterion to Predict the Risk of Pulmonary Tuberculosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vandna%20Raghuvanshi">Vandna Raghuvanshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Vikrant%20Thakur"> Vikrant Thakur</a>, <a href="https://publications.waset.org/abstracts/search?q=Anupam%20Jhobta"> Anupam Jhobta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: To design HRCT criterion to forecast the threat of pulmonary tuberculosis. Material and methods: This was a prospective study of 69 patients with clinical suspicion of pulmonary tuberculosis. We studied their medical characteristics, numerous separate HRCT-results, and a combination of HRCT findings to foresee the danger for PTB by utilizing univariate and multivariate investigation. Temporary HRCT diagnostic criteria were planned in view of these outcomes to find out the risk of PTB and tested these criteria on our patients. Results: The results of HRCT chest were analyzed, and Rank was given from 1 to 4 according to the HRCT chest findings. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. Rank 1: Highly suspected PTB. Rank 2: Probable PTB Rank 3: Nonspecific or difficult to differentiate from other diseases Rank 4: Other suspected diseases • Rank 1 (Highly suspected TB) was present in 22 (31.9%) patients, all of them finally diagnosed to have pulmonary tuberculosis. The sensitivity, specificity, and negative likelihood ratio for RANK 1 on HRCT chest was 53.6%, 100%, and 0.43, respectively. • Rank 2 (Probable TB) was present in 13 patients, out of which 12 were tubercular, and 1 was non-tubercular. • The sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of the combination of Rank 1 and Rank 2 was 82.9%, 96.4%, 23.22, and 0.18, respectively. • Rank 3 (Non-specific TB) was present in 25 patients, and out of these, 7 were tubercular, and 18 were non-tubercular. • When all these 3 ranks were considered together, the sensitivity approached 100% however, the specificity reduced to 35.7%. The positive likelihood ratio and negative likelihood ratio were 1.56 and 0, respectively. • Rank 4 (Other specific findings) was given to 9 patients, and all of these were non-tubercular. Conclusion: HRCT is useful in selecting individuals with greater chances of pulmonary tuberculosis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pulmonary" title="pulmonary">pulmonary</a>, <a href="https://publications.waset.org/abstracts/search?q=tuberculosis" title=" tuberculosis"> tuberculosis</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate" title=" multivariate"> multivariate</a>, <a href="https://publications.waset.org/abstracts/search?q=HRCT" title=" HRCT"> HRCT</a> </p> <a href="https://publications.waset.org/abstracts/142334/developing-hrct-criterion-to-predict-the-risk-of-pulmonary-tuberculosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142334.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">172</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">467</span> Robust Variogram Fitting Using Non-Linear Rank-Based Estimators</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hazem%20M.%20Al-Mofleh">Hazem M. Al-Mofleh</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20E.%20Daniels"> John E. Daniels</a>, <a href="https://publications.waset.org/abstracts/search?q=Joseph%20W.%20McKean"> Joseph W. McKean</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper numerous robust fitting procedures are considered in estimating spatial variograms. In spatial statistics, the conventional variogram fitting procedure (non-linear weighted least squares) suffers from the same outlier problem that has plagued this method from its inception. Even a 3-parameter model, like the variogram, can be adversely affected by a single outlier. This paper uses the Hogg-Type adaptive procedures to select an optimal score function for a rank-based estimator for these non-linear models. Numeric examples and simulation studies will demonstrate the robustness, utility, efficiency, and validity of these estimates. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asymptotic%20relative%20efficiency" title="asymptotic relative efficiency">asymptotic relative efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=non-linear%20rank-based" title=" non-linear rank-based"> non-linear rank-based</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20estimates" title=" rank estimates"> rank estimates</a>, <a href="https://publications.waset.org/abstracts/search?q=variogram" title=" variogram"> variogram</a> </p> <a href="https://publications.waset.org/abstracts/43980/robust-variogram-fitting-using-non-linear-rank-based-estimators" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43980.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">431</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">466</span> Rank of Semigroup: Generating Sets and Cases Revealing Limitations of the Concept of Independence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zsolt%20Lipcsey">Zsolt Lipcsey</a>, <a href="https://publications.waset.org/abstracts/search?q=Sampson%20Marshal%20Imeh"> Sampson Marshal Imeh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> We investigate a certain characterisation for rank of a semigroup by Howie and Ribeiro (1999), to ascertain the relevance of the concept of independence. There are cases where the concept of independence fails to be useful for this purpose. One would expect the basic element to be the maximal independent subset of a given semigroup. However, we construct examples for semigroups where finite basis exist and the basis is larger than the number of independent elements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=generating%20sets" title="generating sets">generating sets</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20set" title=" independent set"> independent set</a>, <a href="https://publications.waset.org/abstracts/search?q=rank" title=" rank"> rank</a>, <a href="https://publications.waset.org/abstracts/search?q=cyclic%20semigroup" title=" cyclic semigroup"> cyclic semigroup</a>, <a href="https://publications.waset.org/abstracts/search?q=basis" title=" basis"> basis</a>, <a href="https://publications.waset.org/abstracts/search?q=commutative" title=" commutative"> commutative</a> </p> <a href="https://publications.waset.org/abstracts/107773/rank-of-semigroup-generating-sets-and-cases-revealing-limitations-of-the-concept-of-independence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107773.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">190</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">465</span> Trend Detection Using Community Rank and Hawkes Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shashank%20Bhatnagar">Shashank Bhatnagar</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20Wilfred%20Godfrey"> W. Wilfred Godfrey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We develop in this paper, an approach to find the trendy topic, which not only considers the user-topic interaction but also considers the community, in which user belongs. This method modifies the previous approach of user-topic interaction to user-community-topic interaction with better speed-up in the range of [1.1-3]. We assume that trend detection in a social network is dependent on two things. The one is, broadcast of messages in social network governed by self-exciting point process, namely called Hawkes process and the second is, Community Rank. The influencer node links to others in the community and decides the community rank based on its PageRank and the number of users links to that community. The community rank decides the influence of one community over the other. Hence, the Hawkes process with the kernel of user-community-topic decides the trendy topic disseminated into the social network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=community%20detection" title="community detection">community detection</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20rank" title=" community rank"> community rank</a>, <a href="https://publications.waset.org/abstracts/search?q=Hawkes%20process" title=" Hawkes process"> Hawkes process</a>, <a href="https://publications.waset.org/abstracts/search?q=influencer%20node" title=" influencer node"> influencer node</a>, <a href="https://publications.waset.org/abstracts/search?q=pagerank" title=" pagerank"> pagerank</a>, <a href="https://publications.waset.org/abstracts/search?q=trend%20detection" title=" trend detection"> trend detection</a> </p> <a href="https://publications.waset.org/abstracts/73595/trend-detection-using-community-rank-and-hawkes-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73595.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">384</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">464</span> Developing a Translator Career Path: Based on the Dreyfus Model of Skills Acquisition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noha%20A.%20Alowedi">Noha A. Alowedi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a Translator Career Path (TCP) which is based on the Dreyfus Model of Skills Acquisition as the conceptual framework. In this qualitative study, the methodology to collect and analyze the data takes an inductive approach that draws upon the literature to form the criteria for the different steps in the TCP. This path is based on descriptors of expert translator performance and best employees’ practice documented in the literature. Each translator skill will be graded as novice, advanced beginner, competent, proficient, and expert. Consequently, five levels of translator performance are identified in the TCP as five ranks. The first rank is the intern translator, which is equivalent to the novice level; the second rank is the assistant translator, which is equivalent to the advanced beginner level; the third rank is the associate translator, which is equivalent to the competent level; the fourth rank is the translator, which is equivalent to the proficient level; finally, the fifth rank is the expert translator, which is equivalent to the expert level. The main function of this career path is to guide the processes of translator development in translation organizations. Although it is designed primarily for the need of in-house translators’ supervisors, the TCP can be used in academic settings for translation trainers and teachers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dreyfus%20model" title="Dreyfus model">Dreyfus model</a>, <a href="https://publications.waset.org/abstracts/search?q=translation%20organization" title=" translation organization"> translation organization</a>, <a href="https://publications.waset.org/abstracts/search?q=translator%20career%20path" title=" translator career path"> translator career path</a>, <a href="https://publications.waset.org/abstracts/search?q=translator%20development" title=" translator development"> translator development</a>, <a href="https://publications.waset.org/abstracts/search?q=translator%20evaluation" title=" translator evaluation"> translator evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=translator%20promotion" title=" translator promotion"> translator promotion</a> </p> <a href="https://publications.waset.org/abstracts/46856/developing-a-translator-career-path-based-on-the-dreyfus-model-of-skills-acquisition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46856.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">463</span> Sparse Unmixing of Hyperspectral Data by Exploiting Joint-Sparsity and Rank-Deficiency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fanqiang%20Kong">Fanqiang Kong</a>, <a href="https://publications.waset.org/abstracts/search?q=Chending%20Bian"> Chending Bian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we exploit two assumed properties of the abundances of the observed signatures (endmembers) in order to reconstruct the abundances from hyperspectral data. Joint-sparsity is the first property of the abundances, which assumes the adjacent pixels can be expressed as different linear combinations of same materials. The second property is rank-deficiency where the number of endmembers participating in hyperspectral data is very small compared with the dimensionality of spectral library, which means that the abundances matrix of the endmembers is a low-rank matrix. These assumptions lead to an optimization problem for the sparse unmixing model that requires minimizing a combined <em>l<sub>2,p</sub>-</em>norm and nuclear norm. We propose a variable splitting and augmented Lagrangian algorithm to solve the optimization problem. Experimental evaluation carried out on synthetic and real hyperspectral data shows that the proposed method outperforms the state-of-the-art algorithms with a better spectral unmixing accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hyperspectral%20unmixing" title="hyperspectral unmixing">hyperspectral unmixing</a>, <a href="https://publications.waset.org/abstracts/search?q=joint-sparse" title=" joint-sparse"> joint-sparse</a>, <a href="https://publications.waset.org/abstracts/search?q=low-rank%20representation" title=" low-rank representation"> low-rank representation</a>, <a href="https://publications.waset.org/abstracts/search?q=abundance%20estimation" title=" abundance estimation"> abundance estimation</a> </p> <a href="https://publications.waset.org/abstracts/71439/sparse-unmixing-of-hyperspectral-data-by-exploiting-joint-sparsity-and-rank-deficiency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71439.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">261</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">462</span> Bayesian Network and Feature Selection for Rank Deficient Inverse Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyugneun%20Lee">Kyugneun Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Ikjin%20Lee"> Ikjin Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Parameter estimation with inverse problem often suffers from unfavorable conditions in the real world. Useless data and many input parameters make the problem complicated or insoluble. Data refinement and reformulation of the problem can solve that kind of difficulties. In this research, a method to solve the rank deficient inverse problem is suggested. A multi-physics system which has rank deficiency caused by response correlation is treated. Impeditive information is removed and the problem is reformulated to sequential estimations using Bayesian network (BN) and subset groups. At first, subset grouping of the responses is performed. Feature selection with singular value decomposition (SVD) is used for the grouping. Next, BN inference is used for sequential conditional estimation according to the group hierarchy. Directed acyclic graph (DAG) structure is organized to maximize the estimation ability. Variance ratio of response to noise is used to pairing the estimable parameters by each response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20network" title="Bayesian network">Bayesian network</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20deficiency" title=" rank deficiency"> rank deficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20inverse%20analysis" title=" statistical inverse analysis"> statistical inverse analysis</a> </p> <a href="https://publications.waset.org/abstracts/75870/bayesian-network-and-feature-selection-for-rank-deficient-inverse-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75870.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">461</span> A Pedagogical Case Study on Consumer Decision Making Models: A Selection of Smart Phone Apps</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yong%20Bum%20Shin">Yong Bum Shin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This case focuses on Weighted additive difference, Conjunctive, Disjunctive, and Elimination by aspects methodologies in consumer decision-making models and the Simple additive weighting (SAW) approach in the multi-criteria decision-making (MCDM) area. Most decision-making models illustrate that the rank reversal phenomenon is unpreventable. This paper presents that rank reversal occurs in popular managerial methods such as Weighted Additive Difference (WAD), Conjunctive Method, Disjunctive Method, Elimination by Aspects (EBA) and MCDM methods as well as such as the Simple Additive Weighting (SAW) and finally Unified Commensurate Multiple (UCM) models which successfully addresses these rank reversal problems in most popular MCDM methods in decision-making area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20decision%20making" title="multiple criteria decision making">multiple criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20inconsistency" title=" rank inconsistency"> rank inconsistency</a>, <a href="https://publications.waset.org/abstracts/search?q=unified%20commensurate%20multiple" title=" unified commensurate multiple"> unified commensurate multiple</a>, <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title=" analytic hierarchy process"> analytic hierarchy process</a> </p> <a href="https://publications.waset.org/abstracts/163543/a-pedagogical-case-study-on-consumer-decision-making-models-a-selection-of-smart-phone-apps" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163543.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">81</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">460</span> Real-Time Fitness Monitoring with MediaPipe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chandra%20Prayaga">Chandra Prayaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakshmi%20Prayaga"> Lakshmi Prayaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Aaron%20Wade"> Aaron Wade</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyle%20Rank"> Kyle Rank</a>, <a href="https://publications.waset.org/abstracts/search?q=Gopi%20Shankar%20Mallu"> Gopi Shankar Mallu</a>, <a href="https://publications.waset.org/abstracts/search?q=Sri%20Satya"> Sri Satya</a>, <a href="https://publications.waset.org/abstracts/search?q=Harsha%20Pola"> Harsha Pola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today's tech-driven world, where connectivity shapes our daily lives, maintaining physical and emotional health is crucial. Athletic trainers play a vital role in optimizing athletes' performance and preventing injuries. However, a shortage of trainers impacts the quality of care. This study introduces a vision-based exercise monitoring system leveraging Google's MediaPipe library for precise tracking of bicep curl exercises and simultaneous posture monitoring. We propose a three-stage methodology: landmark detection, side detection, and angle computation. Our system calculates angles at the elbow, wrist, neck, and torso to assess exercise form. Experimental results demonstrate the system's effectiveness in distinguishing between good and partial repetitions and evaluating body posture during exercises, providing real-time feedback for precise fitness monitoring. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=physical%20health" title="physical health">physical health</a>, <a href="https://publications.waset.org/abstracts/search?q=athletic%20trainers" title=" athletic trainers"> athletic trainers</a>, <a href="https://publications.waset.org/abstracts/search?q=fitness%20monitoring" title=" fitness monitoring"> fitness monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20driven%20solutions" title=" technology driven solutions"> technology driven solutions</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%E2%80%99s%20MediaPipe" title=" Google’s MediaPipe"> Google’s MediaPipe</a>, <a href="https://publications.waset.org/abstracts/search?q=landmark%20detection" title=" landmark detection"> landmark detection</a>, <a href="https://publications.waset.org/abstracts/search?q=angle%20computation" title=" angle computation"> angle computation</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20feedback" title=" real-time feedback"> real-time feedback</a> </p> <a href="https://publications.waset.org/abstracts/183020/real-time-fitness-monitoring-with-mediapipe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183020.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">66</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">459</span> Assuming the Decision of Having One (More) Child: The New Dimensions of the Post Communist Romanian Family</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Horea-Serban%20Raluca-Ioana">Horea-Serban Raluca-Ioana</a>, <a href="https://publications.waset.org/abstracts/search?q=Istrate%20Marinela"> Istrate Marinela</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The first part of the paper analyzes the dynamics of the total fertility rate both at the national and regional level, pointing out the regional disparities in the distribution of this indicator. At the same time, we also focus on the collapse of the number of live births, on the changes in the fertility rate by birth rank, as well as on the failure of acquiring the desired number of children. The second part of the study centres upon a survey applied to urban families with 3 and more than 3 offspring. The preliminary analysis highlights the fact that an increased fertility (more than 3rd rank) is triggered by the parents’ above the average material condition and superior education. The current situation of Romania, which is still passing through a period of relatively rapid demographic changes, marked by numerous convulsions, requires a new approach, in compliance with the recent interpretations appropriate to a new post-transitional demographic regime. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fertility%20rate" title="fertility rate">fertility rate</a>, <a href="https://publications.waset.org/abstracts/search?q=family%20size%20intention" title=" family size intention"> family size intention</a>, <a href="https://publications.waset.org/abstracts/search?q=third%20birth%20rank" title=" third birth rank"> third birth rank</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20disparities" title=" regional disparities"> regional disparities</a> </p> <a href="https://publications.waset.org/abstracts/19830/assuming-the-decision-of-having-one-more-child-the-new-dimensions-of-the-post-communist-romanian-family" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19830.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">327</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">458</span> Multidirectional Product Support System for Decision Making in Textile Industry Using Collaborative Filtering Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Senthil%20Kumar">A. Senthil Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Murali%20Bhaskaran"> V. Murali Bhaskaran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the information technology ground, people are using various tools and software for their official use and personal reasons. Nowadays, people are worrying to choose data accessing and extraction tools at the time of buying and selling their products. In addition, worry about various quality factors such as price, durability, color, size, and availability of the product. The main purpose of the research study is to find solutions to these unsolved existing problems. The proposed algorithm is a Multidirectional Rank Prediction (MDRP) decision making algorithm in order to take an effective strategic decision at all the levels of data extraction, uses a real time textile dataset and analyzes the results. Finally, the results are obtained and compared with the existing measurement methods such as PCC, SLCF, and VSS. The result accuracy is higher than the existing rank prediction methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Knowledge%20Discovery%20in%20Database%20%28KDD%29" title="Knowledge Discovery in Database (KDD)">Knowledge Discovery in Database (KDD)</a>, <a href="https://publications.waset.org/abstracts/search?q=Multidirectional%20Rank%20Prediction%20%28MDRP%29" title=" Multidirectional Rank Prediction (MDRP)"> Multidirectional Rank Prediction (MDRP)</a>, <a href="https://publications.waset.org/abstracts/search?q=Pearson%E2%80%99s%20Correlation%20Coefficient%20%28PCC%29" title=" Pearson’s Correlation Coefficient (PCC)"> Pearson’s Correlation Coefficient (PCC)</a>, <a href="https://publications.waset.org/abstracts/search?q=VSS%20%28Vector%20Space%20Similarity%29" title=" VSS (Vector Space Similarity)"> VSS (Vector Space Similarity)</a> </p> <a href="https://publications.waset.org/abstracts/3247/multidirectional-product-support-system-for-decision-making-in-textile-industry-using-collaborative-filtering-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3247.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">286</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">457</span> Application of Regularized Low-Rank Matrix Factorization in Personalized Targeting </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kourosh%20Modarresi">Kourosh Modarresi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Netflix problem has brought the topic of “Recommendation Systems” into the mainstream of computer science, mathematics, and statistics. Though much progress has been made, the available algorithms do not obtain satisfactory results. The success of these algorithms is rarely above 5%. This work is based on the belief that the main challenge is to come up with “scalable personalization” models. This paper uses an adaptive regularization of inverse singular value decomposition (SVD) that applies adaptive penalization on the singular vectors. The results show far better matching for recommender systems when compared to the ones from the state of the art models in the industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=convex%20optimization" title="convex optimization">convex optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=LASSO" title=" LASSO"> LASSO</a>, <a href="https://publications.waset.org/abstracts/search?q=regression" title=" regression"> regression</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title=" recommender systems"> recommender systems</a>, <a href="https://publications.waset.org/abstracts/search?q=singular%20value%20decomposition" title=" singular value decomposition"> singular value decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20rank%20approximation" title=" low rank approximation"> low rank approximation</a> </p> <a href="https://publications.waset.org/abstracts/19547/application-of-regularized-low-rank-matrix-factorization-in-personalized-targeting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19547.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">455</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">456</span> Model Order Reduction of Continuous LTI Large Descriptor System Using LRCF-ADI and Square Root Balanced Truncation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Sahadet%20Hossain">Mohammad Sahadet Hossain</a>, <a href="https://publications.waset.org/abstracts/search?q=Shamsil%20Arifeen"> Shamsil Arifeen</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehrab%20Hossian%20Likhon"> Mehrab Hossian Likhon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we analyze a linear time invariant (LTI) descriptor system of large dimension. Since these systems are difficult to simulate, compute and store, we attempt to reduce this large system using Low Rank Cholesky Factorized Alternating Directions Implicit (LRCF-ADI) iteration followed by Square Root Balanced Truncation. LRCF-ADI solves the dual Lyapunov equations of the large system and gives low-rank Cholesky factors of the gramians as the solution. Using these cholesky factors, we compute the Hankel singular values via singular value decomposition. Later, implementing square root balanced truncation, the reduced system is obtained. The bode plots of original and lower order systems are used to show that the magnitude and phase responses are same for both the systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low-rank%20cholesky%20factor%20alternating%20directions%20implicit%20iteration" title="low-rank cholesky factor alternating directions implicit iteration">low-rank cholesky factor alternating directions implicit iteration</a>, <a href="https://publications.waset.org/abstracts/search?q=LTI%20Descriptor%20system" title=" LTI Descriptor system"> LTI Descriptor system</a>, <a href="https://publications.waset.org/abstracts/search?q=Lyapunov%20equations" title=" Lyapunov equations"> Lyapunov equations</a>, <a href="https://publications.waset.org/abstracts/search?q=Square-root%20balanced%20truncation" title=" Square-root balanced truncation"> Square-root balanced truncation</a> </p> <a href="https://publications.waset.org/abstracts/26947/model-order-reduction-of-continuous-lti-large-descriptor-system-using-lrcf-adi-and-square-root-balanced-truncation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26947.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">418</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">455</span> Rank-Based Chain-Mode Ensemble for Binary Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chongya%20Song">Chongya Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Kang%20Yen"> Kang Yen</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20Pons"> Alexander Pons</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Liu"> Jin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the field of machine learning, the ensemble has been employed as a common methodology to improve the performance upon multiple base classifiers. However, the true predictions are often canceled out by the false ones during consensus due to a phenomenon called “curse of correlation” which is represented as the strong interferences among the predictions produced by the base classifiers. In addition, the existing practices are still not able to effectively mitigate the problem of imbalanced classification. Based on the analysis on our experiment results, we conclude that the two problems are caused by some inherent deficiencies in the approach of consensus. Therefore, we create an enhanced ensemble algorithm which adopts a designed rank-based chain-mode consensus to overcome the two problems. In order to evaluate the proposed ensemble algorithm, we employ a well-known benchmark data set NSL-KDD (the improved version of dataset KDDCup99 produced by University of New Brunswick) to make comparisons between the proposed and 8 common ensemble algorithms. Particularly, each compared ensemble classifier uses the same 22 base classifiers, so that the differences in terms of the improvements toward the accuracy and reliability upon the base classifiers can be truly revealed. As a result, the proposed rank-based chain-mode consensus is proved to be a more effective ensemble solution than the traditional consensus approach, which outperforms the 8 ensemble algorithms by 20% on almost all compared metrices which include accuracy, precision, recall, F1-score and area under receiver operating characteristic curve. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consensus" title="consensus">consensus</a>, <a href="https://publications.waset.org/abstracts/search?q=curse%20of%20correlation" title=" curse of correlation"> curse of correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=imbalance%20classification" title=" imbalance classification"> imbalance classification</a>, <a href="https://publications.waset.org/abstracts/search?q=rank-based%20chain-mode%20ensemble" title=" rank-based chain-mode ensemble"> rank-based chain-mode ensemble</a> </p> <a href="https://publications.waset.org/abstracts/112891/rank-based-chain-mode-ensemble-for-binary-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112891.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">138</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">454</span> Weighted Rank Regression with Adaptive Penalty Function</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kang-Mo%20Jung">Kang-Mo Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of regularization for statistical methods has become popular. The least absolute shrinkage and selection operator (LASSO) framework has become the standard tool for sparse regression. However, it is well known that the LASSO is sensitive to outliers or leverage points. We consider a new robust estimation which is composed of the weighted loss function of the pairwise difference of residuals and the adaptive penalty function regulating the tuning parameter for each variable. Rank regression is resistant to regression outliers, but not to leverage points. By adopting a weighted loss function, the proposed method is robust to leverage points of the predictor variable. Furthermore, the adaptive penalty function gives us good statistical properties in variable selection such as oracle property and consistency. We develop an efficient algorithm to compute the proposed estimator using basic functions in program R. We used an optimal tuning parameter based on the Bayesian information criterion (BIC). Numerical simulation shows that the proposed estimator is effective for analyzing real data set and contaminated data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20penalty%20function" title="adaptive penalty function">adaptive penalty function</a>, <a href="https://publications.waset.org/abstracts/search?q=robust%20penalized%20regression" title=" robust penalized regression"> robust penalized regression</a>, <a href="https://publications.waset.org/abstracts/search?q=variable%20selection" title=" variable selection"> variable selection</a>, <a href="https://publications.waset.org/abstracts/search?q=weighted%20rank%20regression" title=" weighted rank regression"> weighted rank regression</a> </p> <a href="https://publications.waset.org/abstracts/79449/weighted-rank-regression-with-adaptive-penalty-function" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79449.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">475</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">453</span> System Identification in Presence of Outliers </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chao%20Yu">Chao Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Qing-Guo%20Wang"> Qing-Guo Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20Zhang"> Dan Zhang </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The outlier detection problem for dynamic systems is formulated as a matrix decomposition problem with low-rank, sparse matrices and further recast as a semidefinite programming (SDP) problem. A fast algorithm is presented to solve the resulting problem while keeping the solution matrix structure and it can greatly reduce the computational cost over the standard interior-point method. The computational burden is further reduced by proper construction of subsets of the raw data without violating low rank property of the involved matrix. The proposed method can make exact detection of outliers in case of no or little noise in output observations. In case of significant noise, a novel approach based on under-sampling with averaging is developed to denoise while retaining the saliency of outliers and so-filtered data enables successful outlier detection with the proposed method while the existing filtering methods fail. Use of recovered “clean” data from the proposed method can give much better parameter estimation compared with that based on the raw data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=outlier%20detection" title="outlier detection">outlier detection</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20identification" title=" system identification"> system identification</a>, <a href="https://publications.waset.org/abstracts/search?q=matrix%20decomposition" title=" matrix decomposition"> matrix decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=low-rank%20matrix" title=" low-rank matrix"> low-rank matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=sparsity" title=" sparsity"> sparsity</a>, <a href="https://publications.waset.org/abstracts/search?q=semidefinite%20programming" title=" semidefinite programming"> semidefinite programming</a>, <a href="https://publications.waset.org/abstracts/search?q=interior-point%20methods" title=" interior-point methods"> interior-point methods</a>, <a href="https://publications.waset.org/abstracts/search?q=denoising" title=" denoising"> denoising</a> </p> <a href="https://publications.waset.org/abstracts/13363/system-identification-in-presence-of-outliers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13363.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">307</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">452</span> Use of Biomass as Co-Fuel in Briquetting of Low-Rank Coal: Strengthen the Energy Supply and Save the Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahidin">Mahidin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanna%20Syamsuddin"> Yanna Syamsuddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Samsul%20Rizal"> Samsul Rizal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to fulfill world energy demand, several efforts have been done to look for new and renewable energy candidates to substitute oil and gas. Biomass is one of new and renewable energy sources, which is abundant in Indonesia. Palm kernel shell is a kind of biomass discharge from palm oil industries as a waste. On the other hand, <em>Jatropha curcas</em> that is easy to grow in Indonesia is also a typical energy source either for bio-diesel or biomass. In this study, biomass was used as co-fuel in briquetting of low-rank coal to suppress the release of emission (such as CO, NO<sub>x</sub> and SO<sub>x</sub>) during coal combustion. Desulfurizer, CaO-base, was also added to ensure the SO<sub>x</sub> capture is effectively occurred. Ratio of coal to palm kernel shell (w/w) in the bio-briquette were 50:50, 60:40, 70:30, 80:20 and 90:10, while ratio of calcium to sulfur (Ca/S) in mole/mole were 1:1; 1.25:1; 1.5:1; 1.75:1 and 2:1. The bio-briquette then subjected to physical characterization and combustion test. The results show that the maximum weight loss in the durability measurement was ±6%. In addition, the highest stove efficiency for each desulfurizer was observed at the coal/PKS ratio of 90:10 and Ca/S ratio of 1:1 (except for the scallop shell desulfurizer that appeared at two Ca/S ratios; 1.25:1 and 1.5:1, respectively), i.e. 13.8% for the lime; 15.86% for the oyster shell; 14.54% for the scallop shell and 15.84% for the green mussel shell desulfurizers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomass" title="biomass">biomass</a>, <a href="https://publications.waset.org/abstracts/search?q=low-rank%20coal" title=" low-rank coal"> low-rank coal</a>, <a href="https://publications.waset.org/abstracts/search?q=bio-briquette" title=" bio-briquette"> bio-briquette</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20and%20renewable%20energy" title=" new and renewable energy"> new and renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=palm%20kernel%20shell" title=" palm kernel shell"> palm kernel shell</a> </p> <a href="https://publications.waset.org/abstracts/1849/use-of-biomass-as-co-fuel-in-briquetting-of-low-rank-coal-strengthen-the-energy-supply-and-save-the-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1849.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">445</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">451</span> First Rank Symptoms in Mania: An Indistinct Diagnostic Strand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afshan%20Channa">Afshan Channa</a>, <a href="https://publications.waset.org/abstracts/search?q=Sameeha%20Aleem"> Sameeha Aleem</a>, <a href="https://publications.waset.org/abstracts/search?q=Harim%20Mohsin"> Harim Mohsin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> First rank symptoms (FRS) are considered to be pathognomic for Schizophrenia. However, FRS is not a distinctive feature of Schizophrenia. It has also been noticed in affective disorder, albeit not inclusive in diagnostic criteria. The presence of FRS in Mania leads to misdiagnosis of psychotic illness, further complicating the management and delay of appropriate treatment. FRS in Mania is associated with poor clinical and functional outcome. Its existence in the first episode of bipolar disorder may be a predictor of poor short-term outcome and decompensating course of illness. FRS in Mania is studied in west. However, the cultural divergence and detriments make it pertinent to study the frequency of FRS in affective disorder independently in Pakistan. Objective: The frequency of first rank symptoms in manic patients, who were under treatment at psychiatric services of tertiary care hospital. Method: The cross sectional study was done at psychiatric services of Aga Khan University Hospital, Karachi, Pakistan. One hundred and twenty manic patients were recruited from November 2014 to May 2015. The patients who were unable to comprehend Urdu or had comorbid psychiatric or organic disorder were excluded. FRS was assessed by administration of validated Urdu version of Present State Examination (PSE) tool. Result: The mean age of the patients was 37.62 + 12.51. The mean number of previous manic episode was 2.17 + 2.23. 11.2% males and 30.6% females had FRS. This association of first rank symptoms with gender in patients of mania was found to be significant with a p-value of 0.008. All-inclusive, 19.2% exhibited FRS in their course of illness. 43.5% had thought broadcasting, made feeling, impulses, action and somatic passivity. 39.1% had thought insertion, 30.4% had auditory perceptual distortion, and 17.4% had thought withdrawal. However, none displayed delusional perception. Conclusion: The study confirms the presence of FRS in mania in both male and female, irrespective of the duration of current manic illness or previous number of manic episodes. A substantial difference was established between both the genders. Being married had no protective effect on the presence of FRS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=first%20rank%20symptoms" title="first rank symptoms">first rank symptoms</a>, <a href="https://publications.waset.org/abstracts/search?q=Mania" title=" Mania"> Mania</a>, <a href="https://publications.waset.org/abstracts/search?q=psychosis" title=" psychosis"> psychosis</a>, <a href="https://publications.waset.org/abstracts/search?q=present%20state%20examination" title=" present state examination"> present state examination</a> </p> <a href="https://publications.waset.org/abstracts/36533/first-rank-symptoms-in-mania-an-indistinct-diagnostic-strand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36533.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">379</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">450</span> Development of a Performance Measurement Model for Hospitals Using Multi-Criteria Decision Making (MCDM) Techniques: A Case Study of Three South Australian Major Public Hospitals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Safaeipour">Mohammad Safaeipour</a>, <a href="https://publications.waset.org/abstracts/search?q=Yousef%20Amer"> Yousef Amer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study directs its focus on developing a conceptual model to offer a systematic and integrated method to weigh the related measures and evaluate a competence of hospitals and rank of the selected hospitals that involve and consider the stakeholders’ key performance indicators (KPI’s). The Analytical Hierarchy Process (AHP) approach will use to weigh the dimensions and related sub- components. The weights and performance scores will combine by using the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and rank the selected hospitals. The results of this study provide interesting insight into the necessity of process improvement implementation in which hospital that received the lowest ranking score. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=performance%20measurement%20system" title="performance measurement system">performance measurement system</a>, <a href="https://publications.waset.org/abstracts/search?q=PMS" title=" PMS"> PMS</a>, <a href="https://publications.waset.org/abstracts/search?q=hospitals" title=" hospitals"> hospitals</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP" title=" AHP"> AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=TOPSIS" title=" TOPSIS"> TOPSIS</a> </p> <a href="https://publications.waset.org/abstracts/65901/development-of-a-performance-measurement-model-for-hospitals-using-multi-criteria-decision-making-mcdm-techniques-a-case-study-of-three-south-australian-major-public-hospitals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65901.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">449</span> Influential Health Care System Rankings Can Conceal Maximal Inequities: A Simulation Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Reisman">Samuel Reisman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Comparative rankings are increasingly used to evaluate health care systems. These rankings combine discrete attribute rankings into a composite overall ranking. Health care equity is a component of overall rankings, but excelling in other categories can counterbalance low inequity grades. Highly ranked inequitable health care would commend systems that disregard human rights. We simulated the ranking of a maximally inequitable health care system using a published, influential ranking methodology. Methods: We used The Commonwealth Fund’s ranking of eleven health care systems to simulate the rank of a maximally inequitable system. Eighty performance indicators were simulated, assuming maximal ineptitude in equity benchmarks. Maximal rankings in all non-equity subcategories were assumed. Subsequent stepwise simulations lowered all non-equity rank positions by one. Results: The maximally non-equitable health care system ranked first overall. Three subsequent stepwise simulations, lowering non-equity rankings by one, each resulted in an overall ranking within the top three. Discussion: Our results demonstrate that grossly inequitable health care systems can rank highly in comparative health care system rankings. These findings challenge the validity of ranking methodologies that subsume equity under broader benchmarks. We advocate limiting maximum overall rankings of health care systems to their individual equity rankings. Such limits are logical given the insignificance of health care system improvements to those lacking adequate health care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20health" title="global health">global health</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20equity" title=" health equity"> health equity</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20systems" title=" healthcare systems"> healthcare systems</a>, <a href="https://publications.waset.org/abstracts/search?q=international%20health" title=" international health"> international health</a> </p> <a href="https://publications.waset.org/abstracts/75707/influential-health-care-system-rankings-can-conceal-maximal-inequities-a-simulation-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75707.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">400</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">448</span> The Condition Testing of Damaged Plates Using Acoustic Features and Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kyle%20Saltmarsh">Kyle Saltmarsh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Acoustic testing possesses many benefits due to its non-destructive nature and practicality. There hence exists many scenarios in which using acoustic testing for condition testing shows powerful feasibility. A wealth of information is contained within the acoustic and vibration characteristics of structures, allowing the development meaningful features for the classification of their respective condition. In this paper, methods, results, and discussions are presented on the use of non-destructive acoustic testing coupled with acoustic feature extraction and machine learning techniques for the condition testing of manufactured circular steel plates subjected to varied levels of damage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=plates" title="plates">plates</a>, <a href="https://publications.waset.org/abstracts/search?q=deformation" title=" deformation"> deformation</a>, <a href="https://publications.waset.org/abstracts/search?q=acoustic%20features" title=" acoustic features"> acoustic features</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/76911/the-condition-testing-of-damaged-plates-using-acoustic-features-and-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76911.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">337</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">447</span> Comparative Analysis of Soil Enzyme Activities between Laurel-Leaved and Cryptomeria japonica Forests</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayuko%20Itsuki">Ayuko Itsuki</a>, <a href="https://publications.waset.org/abstracts/search?q=Sachiyo%20Aburatani"> Sachiyo Aburatani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soil enzyme activities in Kasuga-yama Hill Primeval Forest (Nara, Japan) were examined to determine levels of mineralization and metabolism. Samples were selected from the soil surrounding laurel-leaved (B<sub>B-1</sub>) and <em>C</em><em>arpinus</em><em> japonica</em> (B<sub>B-2</sub> and P<sub>w</sub>) trees for analysis. Cellulase, β-xylosidase, and protease activities were higher in B<sub>B-1</sub> samples those in B<sub>B-2 </sub>samples. These activity levels corresponded to the distribution of cellulose and hemicellulose in the soil horizons. Cellulase, β-xylosidase, and chymotrypsin activities were higher in soil from the P<sub>w</sub> forest than in that from the B<sub>B-2 </sub>forest. The relationships between the soil enzymes calculated by Spearman’s rank correlation indicate that the interactions between enzymes in B<sub>B-2</sub> samples were more complex than those in P<sub>w</sub> samples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=comparative%20analysis" title="comparative analysis">comparative analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=enzyme%20activities" title=" enzyme activities"> enzyme activities</a>, <a href="https://publications.waset.org/abstracts/search?q=forest%20soil" title=" forest soil"> forest soil</a>, <a href="https://publications.waset.org/abstracts/search?q=Spearman%27s%20rank%20correlation" title=" Spearman's rank correlation"> Spearman's rank correlation</a> </p> <a href="https://publications.waset.org/abstracts/20200/comparative-analysis-of-soil-enzyme-activities-between-laurel-leaved-and-cryptomeria-japonica-forests" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20200.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">591</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">446</span> Optimizing Microwave Assisted Extraction of Anti-Diabetic Plant Tinospora cordifolia Used in Ayush System for Estimation of Berberine Using Taguchi L-9 Orthogonal Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saurabh%20Satija">Saurabh Satija</a>, <a href="https://publications.waset.org/abstracts/search?q=Munish%20Garg"> Munish Garg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Present work reports an efficient extraction method using microwaves based solvent–sample duo-heating mechanism, for the extraction of an important anti-diabetic plant Tinospora cordifolia from AYUSH system for estimation of berberine content. The process is based on simultaneous heating of sample matrix and extracting solvent under microwave energy. Methanol was used as the extracting solvent, which has excellent berberine solubilizing power and warms up under microwave attributable to its great dispersal factor. Extraction conditions like time of irradition, microwave power, solute-solvent ratio and temperature were optimized using Taguchi design and berberine was quantified using high performance thin layer chromatography. The ranked optimized parameters were microwave power (rank 1), irradiation time (rank 2) and temperature (rank 3). This kind of extraction mechanism under dual heating provided choice of extraction parameters for better precision and higher yield with significant reduction in extraction time under optimum extraction conditions. This developed extraction protocol will lead to extract higher amounts of berberine which is a major anti-diabetic moiety in Tinospora cordifolia which can lead to development of cheaper formulations of the plant Tinospora cordifolia and can help in rapid prevention of diabetes in the world. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=berberine" title="berberine">berberine</a>, <a href="https://publications.waset.org/abstracts/search?q=microwave" title=" microwave"> microwave</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi" title=" Taguchi"> Taguchi</a> </p> <a href="https://publications.waset.org/abstracts/58304/optimizing-microwave-assisted-extraction-of-anti-diabetic-plant-tinospora-cordifolia-used-in-ayush-system-for-estimation-of-berberine-using-taguchi-l-9-orthogonal-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58304.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">347</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">445</span> An Occupational Health Risk Assessment for Exposure to Benzene, Toluene, Ethylbenzene and Xylenes: A Case Study of Informal Traders in a Metro Centre (Taxi Rank) in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Makhosazana%20Dubazana">Makhosazana Dubazana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many South Africans commuters use minibus taxis daily and are connected to the informal transport network through metro centres informally known as Taxi Ranks. Taxi ranks form part of an economic nexus for many informal traders, connecting them to commuters, their prime clientele. They work along designated areas along the periphery of the taxi rank and in between taxi lanes. Informal traders are therefore at risk of adverse health effects associated with the inhalation of exhaust fumes from minibus taxis. Of the exhaust emissions, benzene, toluene, ethylbenzene and xylenes (BTEX) have high toxicity. Purpose: The purpose of this study was to conduct a Human Health Risk Assessment for informal traders, looking at their exposure to BTEX compounds. Methods: The study was conducted in a subsection of a taxi rank which is representative of the entire taxi rank. This subsection has a daily average of 400 minibus taxi moving through it and an average of 60 informal traders working in it. In the health risk assessment, a questionnaire was conducted to understand the occupational behaviour of the informal traders. This was used to deduce the exposure scenarios and sampling locations. Three sampling campaigns were run for an average of 10 hours each covering the average working hours of traders. A gas chronographer was used for collecting continues ambient air samples at 15 min intervals. Results: Over the three sampling days, the average concentrations were, 8.46ppb, 0.63 ppb, 1.27ppb and 1.0ppb for benzene, toluene, ethylbenzene, and xylene respectively. The average cancer risk is 9.46E-03. In several cases, they were incidences of unacceptable risk for the cumulative exposure of all four BTEX compounds. Conclusion: This study adds to the body of knowledge on the Human Health Risk effects of urban BTEX pollution, furthermore focusing on the impact of urban BTEX on high risk personal such as informal traders, in Southern Africa. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20health%20risk%20assessment" title="human health risk assessment">human health risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=informal%20traders" title=" informal traders"> informal traders</a>, <a href="https://publications.waset.org/abstracts/search?q=occupational%20risk" title=" occupational risk"> occupational risk</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20BTEX" title=" urban BTEX"> urban BTEX</a> </p> <a href="https://publications.waset.org/abstracts/85643/an-occupational-health-risk-assessment-for-exposure-to-benzene-toluene-ethylbenzene-and-xylenes-a-case-study-of-informal-traders-in-a-metro-centre-taxi-rank-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85643.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">232</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">444</span> Spatial Rank-Based High-Dimensional Monitoring through Random Projection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen%20Zhang">Chen Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Nan%20Chen"> Nan Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High-dimensional process monitoring becomes increasingly important in many application domains, where usually the process distribution is unknown and much more complicated than the normal distribution, and the between-stream correlation can not be neglected. However, since the process dimension is generally much bigger than the reference sample size, most traditional nonparametric multivariate control charts fail in high-dimensional cases due to the curse of dimensionality. Furthermore, when the process goes out of control, the influenced variables are quite sparse compared with the whole dimension, which increases the detection difficulty. Targeting at these issues, this paper proposes a new nonparametric monitoring scheme for high-dimensional processes. This scheme first projects the high-dimensional process into several subprocesses using random projections for dimension reduction. Then, for every subprocess with the dimension much smaller than the reference sample size, a local nonparametric control chart is constructed based on the spatial rank test to detect changes in this subprocess. Finally, the results of all the local charts are fused together for decision. Furthermore, after an out-of-control (OC) alarm is triggered, a diagnostic framework is proposed. using the square-root LASSO. Numerical studies demonstrate that the chart has satisfactory detection power for sparse OC changes and robust performance for non-normally distributed data, The diagnostic framework is also effective to identify truly changed variables. Finally, a real-data example is presented to demonstrate the application of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=random%20projection" title="random projection">random projection</a>, <a href="https://publications.waset.org/abstracts/search?q=high-dimensional%20process%20control" title=" high-dimensional process control"> high-dimensional process control</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20rank" title=" spatial rank"> spatial rank</a>, <a href="https://publications.waset.org/abstracts/search?q=sequential%20change%20detection" title=" sequential change detection"> sequential change detection</a> </p> <a href="https://publications.waset.org/abstracts/62697/spatial-rank-based-high-dimensional-monitoring-through-random-projection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62697.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">443</span> Evaluation of Gingival Hyperplasia Caused by Medications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ilma%20Robo">Ilma Robo</a>, <a href="https://publications.waset.org/abstracts/search?q=Saimir%20Heta"> Saimir Heta</a>, <a href="https://publications.waset.org/abstracts/search?q=Greta%20Plaka"> Greta Plaka</a>, <a href="https://publications.waset.org/abstracts/search?q=Vera%20Ostreni"> Vera Ostreni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: Drug gingival hyperplasia is an uncommon pathology encountered during routine work in dental units. The purpose of this paper is to present the clinical appearance of gingival hyperplasia caused by medications. There are already three classes of medications that cause hyperplasia and based on data from the literature, the clinical cases encountered and included in this study have been compared. Materials and Methods: The study was conducted in a total of 311 patients, out of which 182 patients were included in our study, meeting the inclusion criteria. After each patient's history was recorded and it was found that patients were in their knowledge of chronic illness, undergoing treatment of gingivitis hypertrophic drugs was performed with a clinical examination of oral cavity and assessment by vertical and horizontal evaluation according to the periodontal indexes. Results: Of the data collected during the study, it was observed that 97% of patients with gingival hyperplasia are treated with nifedipine. 84% of patients treated with selected medicines and gingival hyperplasia in the oral cavity has been exposed at time period for more than 1 year and 1 month. According to the GOI, in the first rank of this index are about 21% of patients, in the second rank are 52%, in the third rank are 24% and in the fourth grade are 3%. According to the horizontal growth index of gingival hyperplasia, grade 1 included about 61% of patients and grade 2 included about 39% of patients with gingival hyperplasia. Bacterial index divides patients by degrees: grading 0 - 8.2%, grading 1 - 32.4%, grading 2 - 14% and grading 3 - 45.1%. Conclusions: The highest percentage of gingival hyperplasia caused by drugs is due to dosing of nifedipine for a duration of dosing and application for systemic healing for more than 1 year. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drug%20gingival%20hyperplasia" title="drug gingival hyperplasia">drug gingival hyperplasia</a>, <a href="https://publications.waset.org/abstracts/search?q=horizontal%20growth%20index" title=" horizontal growth index"> horizontal growth index</a>, <a href="https://publications.waset.org/abstracts/search?q=vertical%20growth%20index" title=" vertical growth index"> vertical growth index</a> </p> <a href="https://publications.waset.org/abstracts/135630/evaluation-of-gingival-hyperplasia-caused-by-medications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135630.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">442</span> Assessing Urban Health Disparities in South Asia: A Comparative Study Using the Urban Health Index</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fiza%20Azam">Fiza Azam</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Zia"> Sahar Zia</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatima%20Nazir%20Ali"> Fatima Nazir Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Aysha%20Hanif"> Aysha Hanif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Health is a fundamental human right, and a healthy population is essential for the prosperity and sustainable development of any country. This research is aligned with United Nations' Goal 3: Good Health and Well-being. It aims to assess and rank key health indicators across selected South Asian countries. The study focuses on urban areas in these nations, drawing on data from the World Bank’s primary collection of relevant indicators and specific health determinants outlined by the World Health Organization (WHO). These determinants include the physical environment, income and social status, education, social support networks, and personal behavior. To evaluate disparities in urban health across the region, the Urban Health Index (UHI) developed by Georgia State University, USA, is employed, followed by a mapping technique including visualization through a choropleth map to identify the pattern of spatial variations in our key variables, such as socioeconomic indicators across the region. This index serves as a comparative tool to rank health outcomes, where higher UHI values indicate better health conditions. The findings reveal notable disparities across South Asia. Afghanistan, with the lowest UHI score of 0.0423, ranks first, indicating the least favorable urban health conditions. Pakistan follows with a UHI score of 0.1190. Bangladesh and India rank third and fourth with UHI scores of 0.3099 and 0.3250, respectively. The Maldives and Sri Lanka rank fifth and sixth, with UHI scores of 0.3432 and 0.3495. Bhutan is ranked seventh with a score of 0.4750. Nepal, with a UHI score of 0.5012, ranks eighth, indicating the best urban health conditions among the countries studied. The findings of this research are crucial for addressing health disparities, improving living conditions, and enhancing social well-being in the region. These insights can inform policy measures aimed at reducing inequalities and promoting sustainable urban health in South Asia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20health%20index" title="urban health index">urban health index</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20disparities" title=" health disparities"> health disparities</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Asia" title=" South Asia"> South Asia</a>, <a href="https://publications.waset.org/abstracts/search?q=World%20Health%20Organization" title=" World Health Organization"> World Health Organization</a>, <a href="https://publications.waset.org/abstracts/search?q=United%20Nations" title=" United Nations"> United Nations</a>, <a href="https://publications.waset.org/abstracts/search?q=living%20conditions" title=" living conditions"> living conditions</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20health" title=" public health"> public health</a> </p> <a href="https://publications.waset.org/abstracts/193018/assessing-urban-health-disparities-in-south-asia-a-comparative-study-using-the-urban-health-index" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193018.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">11</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" 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