1,720,978 research outputs found
Trust Computational Models for Mobile Ad Hoc Networks. Recommendation Based Trustworthiness Evaluation using Multidimensional Metrics to Secure Routing Protocol in Mobile Ad Hoc Networks.
No full textDistributed systems like e-commerce and e-market places, peer-to-peer networks, social networks, and mobile ad hoc networks require cooperation among the participating entities to guarantee the formation and sustained existence of network services. The reliability of interactions among anonymous entities is a significant issue in such environments. The distributed entities establish connections to interact with others, which may include selfish and misbehaving entities and result in bad experiences. Therefore, trustworthiness evaluation using trust management techniques has become a significant issue in securing these environments to allow entities decide on the reliability and trustworthiness of other entities, besides it helps coping with defection problems and stimulating entities to cooperate. Recent models on evaluating trustworthiness in distributed systems have heavily focused on assessing trustworthiness of entities and isolate misbehaviours based on single trust metrics. Less effort has been put on the investigation of the subjective nature and differences in the way trustworthiness is perceived to produce a composite multidimensional trust metrics to overcome the limitation of considering single trust metric. In the light of this context, this thesis concerns the evaluation of entities’ trustworthiness by the design and investigation of trust metrics that are computed using multiple properties of trust and considering environment.
Based on the concept of probabilistic theory of trust management technique, this thesis models trust systems and designs cooperation techniques to evaluate trustworthiness in mobile ad hoc networks (MANETs). A recommendation based trust model with multi-parameters filtering algorithm, and multidimensional metric based on social and QoS trust model are proposed to secure MANETs. Effectiveness of each of these models in evaluating trustworthiness and discovering misbehaving nodes prior to interactions, as well as their influence on the network performance has been investigated. The results of investigating both the trustworthiness evaluation and the network performance are promising.Ministry of Higher Education in Libya and the Libyan Cultural Attaché bureau in Londo
Globalizer:tinder for educators
No full textMobile apps have been rapidly developing in Higher Education (HE) to improve student experience. They are used in various ways, including learning, organisation, and engagement tools. Despite the widespread use of mobile apps in HE institutions, there is a lack of sufficient apps specifically tailored for educators. Internationalisation is considered a key strategy in HE to enhance academic quality and prepare students for a global workforce. The Globalizer app is a ground-breaking solution designed to facilitate international collaboration in education, aiming to internationalise curricula and foster learning and teaching innovations. Inspired by the need to connect academics, for free, and to create new projects amidst physical limitations, Globalizer was born as a Tinder-like platform for educators seeking online collaborative opportunities.This presentation will present the journey of developing the Globalizer app, which emerged as part of a larger vision of a Global Engagement Centre at Leeds Trinity University. The app was envisioned as a crucial component of the virtual international projects pillar, aiming to enable educators to connect and collaborate on innovative projects for their students, in a sustainable, cost-effective way.Through collaboration with the Computer Science School at Leeds Trinity University, three talented students were involved in the initial design of the app during their placement period. With the acquisition of additional funding, we were able to engage a developer and initiate the development process.The Globalizer app functions by allowing educators to create projects, which users can swipe through and express their interest in. Once accepted by the project owner, both the user and project owner can communicate within the app to develop the project on mutually agreed terms. The app’s website, www.globalizer.co.uk provides detailed information about its features and functionality.The potential impact on students is significant, as internationalising curricula prepares them to become global citizens. The Globalizer app serves as a networking platform, fostering collaboration and providing students with transformative opportunities to work together across borders. Research indicates that students who work on international collaborations show enhanced course engagement, along with the development of transferable skills such as cultural understanding, organisation, communication and global awareness.By enabling educators to connect, create, and nurture global collaborative projects, Globalizer aims to revolutionise education and empower students with the skills necessary to thrive in an increasingly interconnected world. An initial usability study was carried out, and participants' feedback indicated promising results in terms of efficiency, user satisfaction, and ease of use
How the Globalizer App developed at Leeds Trinity University is a way for all higher education institutions to implement Globalization 4.0
No full textHow the Globalizer App developed at Leeds Trinity University is a way for all higher education institutions to implement Globalization 4.0
No full textMulti-class multi-level classification algorithm for skin lesions classification using machine learning techniques
Get PDFSkin diseases remain a major cause of disability worldwide and contribute approximately 1.79% of the global burden of disease measured in disability-adjusted life years. In the United Kingdom alone, 60% of the population suffer from skin diseases during their lifetime. In this paper, we propose an intelligent digital diagnosis scheme to improve the classification accuracy of multiple diseases. A Multi-Class Multi-Level (MCML) classification algorithm inspired by the “divide and conquer” rule is explored to address the research challenges. The MCML classification algorithm is implemented using traditional machine learning and advanced deep learning approaches. Improved techniques are proposed for noise removal in the traditional machine learning approach. The proposed algorithm is evaluated on 3672 classified images, collected from different sources and the diagnostic accuracy of 96.47% is achieved. To verify the performance of the proposed algorithm, its metrics are compared with the Multi-Class Single-Level classification algorithm which is the main algorithm used in most of the existing literature. The results also indicate that the MCML classification algorithm is capable of enhancing the classification performance of multiple skin lesions
Soft skills in career prediction:a machine learning approach for role forecasting
No full textThe increasing complexity of the job market, coupled with rapid technological advancements, has made career prediction and workforce planning more challenging than ever. Traditional methods of career counselling and workforce analytics are being enhanced through machine learning (ML) techniques that utilise datasets to predict career transitions, assess job suitability, and address skills gaps. This study explores the role of ML-driven predictive models in career forecasting, with a particular focus on integrating soft skills. The research findings highlight that Support Vector Machines (SVC) achieved the highest test accuracy (100%), though cross-validation adjusted this to 92% ± 3%, indicating potential overfitting. Neural Networks demonstrated high accuracy (96.77%) but incurred high computational costs, while Decision Tree performed well (93.55%) but showed susceptibility to overfitting. Additionally, the study revealed strong correlations between specific soft skills, such as problem-solving and collaboration, and job categories, underscoring the importance of these skills in predictive career modelling. The contribution of this study lies in its demonstration that ML models can effectively predict career pathways by incorporating soft skills assessment, thus enhancing traditional career recommendation systems and building a resilient workforce
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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