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At the forefront of technological innovation and scholarly discourse, the Journal of Electrical Systems (JES) is a peer-reviewed publication dedicated to advancing the understanding and application of electrical systems, communication systems and information science. With a commitment to excellence, we provide a platform for researchers, academics, and professionals to contribute to the ever-evolving field of electrical engineering, communication technology and Information Systems. The mission of JES is to foster the exchange of knowledge and ideas in electrical and communication systems, promoting cutting-edge research and facilitating discussions that drive progress in the field. We aim to be a beacon for those seeking to explore, challenge, and revolutionize the way we harness, distribute, and utilize electrical energy and information systems..

Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, ind...

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This simple Python software is designed to assist Civil and Geotechnical Engineers in performing site-specific seismic hazard assessments. The program calculates the seismic response spectrum based on user-provided geotechnical and seismic parameters, generating a comprehensive technical report that includes the response spectrum data and figures. The analysis adheres to Eurocode 8 and the Greek Annex, ensuring compliance with international standards for earthquake-resistant design.

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amrabdallah9

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Signal Processing and Linear System Analysis

National Chung Hsing University

We investigated the applicability and efficiency of the MLMC approach to the Henry-like problem with uncertain porosity, permeability and recharge. These uncertain parameters were modelled by random fields with three independent random variables. Permeability is a function of porosity. Both functions are time-dependent, have multi-scale behaviour and are defined for two layers. The numerical solution for each random realisation was obtained using the well-known ug4 parallel multigrid solver. The number of random samples required at each level was estimated by calculating the decay of the variances and the computational cost for each level. The MLMC method was used to compute the expected value and variance of several QoIs, such as the solution at a few preselected points $(t,\bx)$, the solution integrated over a small subdomain, and the time evolution of the freshwater integral. We have found that some QoIs require only 2-3 mesh levels and samples from finer meshes would not significantly improve the result. Other QoIs require more grid levels.

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This presentation, crafted with expertise from the oil and gas industry, details the imperative techniques and tools used in the process of incident investigation. The presentation highlights the structured methods involving interviews with engaged parties, the importance of gathering documentary evidence, employing structured forms and checklists, the value of reviewing surveillance footage, the power of modern technology, and synergizing with subject-matter experts. It is designed for industry professionals keen on enhancing safety practices, regulatory compliance, and preventive measures within their operational environment. Valuable for health & safety officers, compliance managers, and operation leaders, it prioritises continuous learning and adherence to best practices to ensure workplace safety and operational excellence.

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soginsider

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Exploring AI's Impact: Key Features in Due Diligence In the realm of due diligence, AI emerges as a game-changer, revolutionizing traditional methods with its advanced features. AI-powered algorithms excel in data analysis, swiftly sifting through vast amounts of information for crucial insights. Automation streamlines document review processes, ensuring accuracy and efficiency. Moreover, AI enables predictive analytics, forecasting potential risks and opportunities with precision. With machine learning capabilities, AI continuously improves its performance, adapting to evolving trends and patterns. By integrating AI into due diligence practices, businesses gain a competitive edge, maximizing efficiency and making informed decisions swiftly. AI in due diligence is not just a tool; it's a transformational force driving businesses into the future. https://www.leewayhertz.com/ai-in-due-diligence/

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Call for Papers - Journal of Electrical Systems (JES), E-ISSN: 1112-5209, ind...

Geometric constructions Engineering Drawing.pdf

Introduction-to- Metrology and Quality.pptx

Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf

Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis

Adsorption (mass transfer operations 2) ppt

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Passive Air Cooling System and Solar Water Heater.ppt

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litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf

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handbook on reinforce concrete and detailing

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Artificial intelligence presentation2-171219131633.pdf

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