Due to the fast conveying speed of water or other liquids, when the valve is suddenly opened or closed, it is easy to present water hammer effect. The existence of water hammer problem can easily lead to accidents suc...
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This article introduces a DC-DC converter designed for various applications, including battery chargers and electric vehicles. The input stage features an EMC/EMI filter to mitigate noise. A Power Factor Correction (P...
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Corruption, a global phenomenon disproportionately affecting developing nations, undermines governance and economic development. This systematic literature review examines the role of Information and Communications Te...
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ISBN:
(数字)9798350358155
ISBN:
(纸本)9798350358162
Corruption, a global phenomenon disproportionately affecting developing nations, undermines governance and economic development. This systematic literature review examines the role of Information and Communications technology (ICT) in mitigating corruption. Despite conflicting evidence, ICT interventions, including transactional and transparency reforms, offer promising avenues for combating corrupt practices. The review highlights the diverse methodologies employed, with a significant focus on AI-related approaches. Collaboration among researchers, policymakers, and stakeholders is essential for developing comprehensive strategies to address corruption effectively, particularly leveraging ICT advancements.
Wind energy has become most promising renewable energy sources in the world. Where wind power producing from offshore is more advantages than producing wind power from onshore. Therefore many researchers have worked o...
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The article presents the methodology and the result of designing of universal static converter prototype module for aircraft power converting equipment. The module is designed for use as part of AC 'variable speed...
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The goal of this work is to create and compare the AC low voltage (LVAC) topology using various algorithms. In the first phase, the shortest path (SP) algorithm is used to find the minimizing conductor usage. Repeated...
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In this paper, the authors presented the different algorithm characteristics in Software-Defined Networking (SDN). Nowadays, managing a massive volume of traffic on networks and thousands of clients on the server is a...
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This paper 1 1 A full financial support is provided in the Core Research Grant by the Science and engineering Research Board (SERB), India, under IIT Ropar project no. CRG/2018/000084, to carry out this research work....
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ISBN:
(数字)9798350383997
ISBN:
(纸本)9798350384000
This paper
1 1
A full financial support is provided in the Core Research Grant by the Science and engineering Research Board (SERB), India, under IIT Ropar project no. CRG/2018/000084, to carry out this research work. proposes a differential privacy (DP) mechanism for the decentralised pool-based local energy market (PEM) model in the distribution grid. Many traditional PEM models employ alternating direction method of multipliers (ADMM) to reduce the confidential information sharing between participants and energy market operator (EMO). However, an EMO/Aggregator with malicious intent or any cyber-attacker reading the communication between the EMO and participants can still infer the value by looking into their responses over a large time-span. To address the challenge, the proposed DP mechanism completely masks these shared exact information without altering the PEM output from the traditional one. The masking is achieved by three stages, namely 1) clustering, 2) random sharing, and 3) aggregation. The efficacy of the proposal is validated using the Pecan street dataset on MATLAB with Gurobi solver, and a very high degree of DP is observed without any loss of optimality in PEM clearing.
In order to evaluate the interaction risk from surrounding vehicles when an autonomous vehicle turns left at unsignalized intersections, this paper proposes a novel left-Turn risk assessment model based on the driving...
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Coronary artery disease is a leading cause of mortality world-wide, emphasizing the need for accurate and efficient detection methods. Current deep learning approaches for coronary lesion detection in computed tomogra...
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