Papers by Keyword: Analytic

Abstract: The COVID-19 pandemic has posed unprecedented challenges worldwide, requiring efficient and effective knowledge management strategies to aid in mitigation efforts. This paper introduced the Knowledge Management Analytic Dashboard (K-MAD) to support decision-makers, healthcare professionals, and policymakers in combating the spread of COVID-19. K-MAD leverages data analytics, and knowledge representation techniques to aggregate, analyze, and visualize diverse information sources related to the pandemic. The proposed dashboard provides real-time updates on the number of initiatives, project catalog, initiatives model, problem-based approach, and the methods, enabling stakeholders to make data-driven decisions promptly. K-MAD incorporates sophisticated data integration mechanisms to gather data from various sources, including government reports, public health agencies, research papers, and social media, ensuring comprehensive coverage and accuracy. The dashboard has a user-friendly interface caters to users with varying levels of technical expertise, promoting accessibility and usability. Customizable visualizations and interactive elements empower users to explore data from different angles and obtain valuable insights quickly. The paper concludes with a validation study, demonstrating K-MAD's efficacy in supporting decision making processes during the pandemic. Knowledge Management Analytic Dashboard presented in this paper offers a powerful and comprehensive tool to support COVID-19 mitigation efforts.

Abstract: Physics-based analytical models are seen as an efficient way of predicting the characteristics of power devices since they can achieve high computational efficiency and may be easily calibrated using parameters obtained from experimental data. This paper presents an analytical model for a 4H-SiC Enhancement Mode Vertical JFET (VJFET), based on the physics of this device. The on-state and blocking behaviour of VJFETs with finger widths ranging from 1.6+m to 2.2+m are studied and compared with the results of finite element simulations. It is shown that the analytical model is capable of accurately predicting both the on-state and blocking characteristics from a single set of parameters, underlining its utility as a device design and circuit analysis tool.