Search results for: Xiaomei Ma

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Ma</title> <meta name="description" content="Search results for: Xiaomei Ma"> <meta name="keywords" content="Xiaomei Ma"> <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" 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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="Xiaomei Ma"> <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> 3</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Xiaomei Ma</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Secure Network Coding against Content Pollution Attacks in Named Data Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tao%20Feng">Tao Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaomei%20Ma"> Xiaomei Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Xian%20Guo"> Xian Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Wang"> Jing Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Named Data Network (NDN) is one of the future Internet architecture, all nodes (i.e., hosts, routers) are allowed to have a local cache, used to satisfy incoming requests for content. However, depending on caching allows an adversary to perform attacks that are very effective and relatively easy to implement, such as content pollution attack. In this paper, we use a method of secure network coding based on homomorphic signature system to solve this problem. Firstly ,we use a dynamic public key technique, our scheme for each generation authentication without updating the initial secret key used. Secondly, employing the homomorphism of hash function, intermediate node and destination node verify the signature of the received message. In addition, when the network topology of NDN is simple and fixed, the code coefficients in our scheme are generated in a pseudorandom number generator in each node, so the distribution of the coefficients is also avoided. In short, our scheme not only can efficiently prevent against Intra/Inter-GPAs, but also can against the content poisoning attack in NDN. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=named%20data%20networking" title="named data networking">named data networking</a>, <a href="https://publications.waset.org/abstracts/search?q=content%20polloution%20attack" title=" content polloution attack"> content polloution attack</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20coding%20signature" title=" network coding signature"> network coding signature</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20architecture" title=" internet architecture"> internet architecture</a> </p> <a href="https://publications.waset.org/abstracts/28198/secure-network-coding-against-content-pollution-attacks-in-named-data-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28198.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">2</span> A Comparative Study of Self, Peer and Teacher Assessment Based on an English Writing Checklist </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaoting%20Shi">Xiaoting Shi</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaomei%20Ma"> Xiaomei Ma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In higher education, students' self-assessment and peer assessment of compositions in writing classes can effectively improve their ability of evaluative judgment. However, students' self-assessment and peer assessment are not advocated by most teachers because of the significant difference in scoring compared with teacher assessment. This study used a multi-faceted Rasch model to explore whether an English writing checklist containing 30 descriptors can effectively improve rating consistency among self-assessment, peer assessment and teacher assessment. Meanwhile, a questionnaire was adopted to survey students’ and teachers’ attitudes toward self-assessment and peer assessment using the writing checklist. Results of the multi-faceted Rasch model analysis show that the writing checklist can effectively distinguish the students’ writing ability (separate coefficient = 2.05, separate reliability = 0.81, chi-square value (df = 32) = 123.4). Moreover, the results revealed that the checklist could improve rating consistency among self-assessment, peer assessment and teacher assessment. (separate coefficient = 1.71, separate reliability = 0.75, chi-square value (df=4) = 20.8). The results of the questionnaire showed that more than 85% of students and all teachers believed that the checklist had a good advantage in self-assessment and peer assessment, and they were willing to use the checklist to conduct self-assessment and peer assessment in class in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=english%20writing" title="english writing">english writing</a>, <a href="https://publications.waset.org/abstracts/search?q=self-assessment" title=" self-assessment"> self-assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=peer%20assessment" title=" peer assessment"> peer assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=writing%20checklist" title=" writing checklist"> writing checklist</a> </p> <a href="https://publications.waset.org/abstracts/132580/a-comparative-study-of-self-peer-and-teacher-assessment-based-on-an-english-writing-checklist" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132580.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">153</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">1</span> Enhancing the Interpretation of Group-Level Diagnostic Results from Cognitive Diagnostic Assessment: Application of Quantile Regression and Cluster Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenbo%20Du">Wenbo Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaomei%20Ma"> Xiaomei Ma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the empowerment of Cognitive Diagnostic Assessment (CDA), various domains of language testing and assessment have been investigated to dig out more diagnostic information. What is noticeable is that most of the extant empirical CDA-based research puts much emphasis on individual-level diagnostic purpose with very few concerned about learners’ group-level performance. Even though the personalized diagnostic feedback is the unique feature that differentiates CDA from other assessment tools, group-level diagnostic information cannot be overlooked in that it might be more practical in classroom setting. Additionally, the group-level diagnostic information obtained via current CDA always results in a “flat pattern”, that is, the mastery/non-mastery of all tested skills accounts for the two highest proportion. In that case, the outcome does not bring too much benefits than the original total score. To address these issues, the present study attempts to apply cluster analysis for group classification and quantile regression analysis to pinpoint learners’ performance at different proficiency levels (beginner, intermediate and advanced) thus to enhance the interpretation of the CDA results extracted from a group of EFL learners’ reading performance on a diagnostic reading test designed by PELDiaG research team from a key university in China. The results show that EM method in cluster analysis yield more appropriate classification results than that of CDA, and quantile regression analysis does picture more insightful characteristics of learners with different reading proficiencies. The findings are helpful and practical for instructors to refine EFL reading curriculum and instructional plan tailored based on the group classification results and quantile regression analysis. Meanwhile, these innovative statistical methods could also make up the deficiencies of CDA and push forward the development of language testing and assessment in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20diagnostic%20assessment" title="cognitive diagnostic assessment">cognitive diagnostic assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnostic%20feedback" title=" diagnostic feedback"> diagnostic feedback</a>, <a href="https://publications.waset.org/abstracts/search?q=EFL%20reading" title=" EFL reading"> EFL reading</a>, <a href="https://publications.waset.org/abstracts/search?q=quantile%20regression" title=" quantile regression"> quantile regression</a> </p> <a href="https://publications.waset.org/abstracts/132566/enhancing-the-interpretation-of-group-level-diagnostic-results-from-cognitive-diagnostic-assessment-application-of-quantile-regression-and-cluster-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132566.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">146</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div 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Search results for: Xiaomei Ma