1,720,991 research outputs found
Assessing AI-based eco-driving solutions for reducing GHG emissions in green transportation systems
No full textThe transportation sector in the Kingdom of Saudi Arabia (KSA) is a major contributor to greenhouse gas (GHG) emissions, driven by the country's heavy reliance on oil and fossil fuels. Transitioning to a green and sustainable transport system is critical for reducing emissions and aligning with Saudi Arabia's Vision 2030 goals of diversifying its economy and promoting environmental sustainability. Thus, this research examined the adoption of a green sustainable transport system to reduce GHG emissions and reduce dependence on fossil fuels for sustainable development in the KSA. The study evaluates various factors and Artificial Intelligence (AI)-based eco-driving solutions to systematically implement green transportation systems. In this study, the Fuzzy Analytical Hierarchy Process (FAHP) method is applied to evaluate the five factors and eighteen sub-factors crucial for developing a green transportation system in the country. Next, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) method is used to prioritize the most significant AI-based eco-driving solutions for the implementation of smart and green transportation in KSA. The findings of the FAHP show that environmental impact (33 %) is the most crucial factor, followed by regulatory compliance (21.3 %) and economic viability (16.9 %). The FTOPSIS indicates that the smart navigation system (CCi = 0.682) is the most critical AI-based eco-driving solution because this can help reduce GHG emissions and increase the efficiency of traffic regulation in the country. The electric and hybrid vehicle integration (CCi = 0.585) and carbon footprint tracking systems (CCi = 0.355) are the next most significant solutions. This study is helpful in reducing GHG emissions, supporting sustainable development, and guiding policymakers toward effective green transport initiatives
OST: An AI enabled one-stop station platform for cyber security incident reporting
Full text linkThis paper proposes a “One Stop Station” (OST) with an AI-powered “CyberBot” to streamline incident reporting and management. The OST tackles inefficiencies by offering a unified platform that streamlines threat reporting, delivers real-time threat intelligence, and enhances user interaction with an intuitive interface. Leveraging AI like GPT-3.5 and Rasa, the OST automates responses, generates detailed reports, and integrates with existing tools like VirusTotal. This demonstrably improves response speed and accuracy. Testing results show a potential 600% reduction in reporting time. The OST empowers both cyber security professionals and less technical users, reducing workload and enhancing overall incident management. This project highlights the potential of AI in cyber security and positions the OST as a pioneer. It reinforces discussions on leveraging AI to fortify digital defences and integrate AI into daily life
Design, development and implementation of a high performance wireless mesh network for application in emergency and disaster recovery
No full textEThOS - Electronic Theses Online ServiceGBUnited Kingdo
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Design, development and implementation of a high performance wireless mesh network for application in emergency and disaster recovery
Full text linkThis thesis describes research into communication protocols required by a wireless mesh network (WMN) that would be deployed to support emergency rescue teams in a disaster recovery scenario. WMN applications in emergency and disaster recovery require the network to facilitate multimedia group communications to enable rescue team members to share information with each other and provide access to broadband services via www and email. The work presented in the thesis proposes a scheme to improve the performance of WMN to satisfy such application requirements. Several protocols have been designed and implemented to support the exchange of information between these protocols in order to meet the QoS requirements of real-time multimedia traffic and to avoid congestion whilst routing Internet traffic in a multiple gateway environment. A novel implementation of the MAODV routing protocol is developed and modifications are proposed to enhance the protocol's performance and reliability to support the multimedia multicast operation ofWMNs. A novel Load-Balanced Gateway Discovery routing protocol called LBGD-AODV is designed and implemented which provides a multiple gateway environment and balanced Internet traffic loading to more effectively utilize the available gateway resources and minimise network congestion. The proposed QoS scheme enables both protocols to exchange information on network congestion in order to calculate the network bandwidth consumption using a novel scheme at the network layer. This information is used to provide rate-adaptive admission control for multimedia traffic at the application layer. Furthermore, the scheme also provides strategies to support efficient priorities for multimedia traffic to ensure that all the critical priority flows are facilitated even when the network is congested. LBGD-AODV uses the bandwidth information to avoid congested routes to gateway nodes for Internet traffic. A WMN testbed is designed and developed using cross-platform hardware to evaluate the performance of the proposed protocols. The test results show that the objectives set in this study have been successfully achieved by improving the WMN performance for both UDP real-time multimedia traffic and TCP internet traffic
Quantum Based Networks : Analysis of Quantum Teleportation Protocol and Entanglement Swapping
Full text linkIn this paper we consider the quantum teleportation and entanglement swapping protocols used in quantum based networks for passing information between a sender and receiver. For the teleportation protocol we observe and identify relationships that exist between Einstein-Podolsky-Rosen (EPR) Bell states employed as quantum resources, measured sender values and the gates employed at the receiver side. For the entanglement swapping protocol we consider input and output EPR states and the relationship between the two. We include a review of the concepts and our findings from the analysis carried out.\
Variations on the Author
Full text link“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
Full text linkWe 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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