This presentation explores the modeling, optimization, and simulation techniques for power distribution systems. Topics covered include load definitions, demand factors, utilization factors, and load diversity. Examples and case studies are provided to illustrate these concepts. The content is based

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Explore modern threat modeling techniques for cloud systems at OWASP Sacramento's June 2023 event. Agenda includes community topics and more. Membership at Granite City offers workspace perks and access to exclusive events. Learn about threat modeling history and methodologies like STRIDE and PASTA.

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Petri nets are a powerful modeling tool characterized by their asynchronous state transitions, making them ideal for representing concurrent and distributed systems. Originating from Carl Adam Petri's work in the 1960s, Petri nets have found diverse applications in fields such as computer science an

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Rainfall-runoff modeling is crucial in understanding the relationship between rainfall and runoff. This study focuses on developing a rainfall-runoff model for the Upper Tapi basin in India using Artificial Neural Networks (ANNs). ANNs mimic the human brain's capabilities and have been widely used i

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Delve into the intricate world of travel demand modeling systems, where complexity arises from dynamic feedback, stochastic effects, uncertainty, and system structure. Discover the balance needed to minimize complicatedness while maximizing behavioral complexity in regional travel modeling. Uncover

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Explore DeepMainMast for protein structure modeling on web servers like EM Server, Google Colab, or through source code. Gain insights into computational time limits, hardware parameters, model availability, installation process, and integrated protocols. Register on the web server for access and ut

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In the realm of digital creativity, advancements in artificial intelligence (AI) have sparked a revolution in 3D modeling and animation. This transformation is not merely about automation but represents a paradigm shift in how artists, designers, and developers approach their craft. From streamlinin

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Industry progress towards the CFD Vision 2030 is ongoing but slower than desired, with many milestones being delayed. However, there is increasing clarity on the necessary requirements. Further details will be available on www.cfd2030.com/report, including literature reviews, updated roadmaps, and o

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The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod

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This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr

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This document delves into the modeling, optimization, and simulation of power distribution systems, specifically focusing on Distribution Feeder Modeling and Analysis. It covers the components of a typical distribution feeder, series components, Wye-Connected Voltage Regulator modeling, and equation

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Data modeling involves exploring data-oriented structures, identifying entity types, and assigning attributes similar to class modeling in object-oriented development. Object models should not be solely based on existing data schemas due to impedance mismatches between object and relational paradigm

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Workshop on joint efforts between IEEE 802 and ITU-T Study Group 15 focused on information modeling, data modeling, and system control in the realm of transport systems and equipment. The mandate covers technology architecture, function management, and modeling methodologies like UML to YANG generat

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Geometric modeling in computer-aided design (CAD) is crucially done in three key ways: wireframe modeling, surface modeling, and solid modeling. Wireframe modeling represents objects by their edges, whereas surface modeling uses surfaces, vertices, and edges to construct components like a box. Each

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Mathematical modeling plays a crucial role in solving engineering problems efficiently. Numerical methods are powerful tools essential for problem-solving and learning. This chapter explores the importance of studying numerical methods, the concept of mathematical modeling, and the evaluation proces

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Dynamic Structural Equation Modeling (DSEM) is a powerful analytical tool used to analyze intensive longitudinal data, combining multilevel modeling, time series modeling, structural equation modeling, and time-varying effects modeling. By modeling correlations and changes over time at both individu

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Learn how to set up and run your own CFD analysis using EasyCFD software. Download the trial version, follow tutorials, create unique geometries, and submit a report detailing your experience. Explore tools, solve flow field problems, and enhance your CFD skills.

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This content provides insights into CPSC 531: System Modeling and Simulation course, covering topics such as performance evaluation, simulation modeling, and terminology in system modeling. It emphasizes the importance of developing simulation programs, advantages of simulation, and key concepts lik

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Object modeling is a crucial concept in software development, capturing the static structure of a system by depicting objects, their relationships, attributes, and operations. This modeling method aids in demonstrating systems to stakeholders and promotes a deeper understanding of real-world entitie

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Computational Marine Hydrodynamics Lab (CMHL) at Shanghai Jiao Tong University specializes in developing advanced CFD solvers for ship and ocean engineering applications. They focus on research areas like ship hydrodynamics, ocean engineering, offshore wind turbine systems, and more. The lab works o

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This resource provides insights into the segregated solver approach in computational fluid dynamics (CFD) simulations, specifically focusing on the sweeping direction and its impact on computational efficiency and convergence rates. It discusses the benefits of employing the XY plane for 2D cases to

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Coupled ocean-atmosphere modeling on horizontally icosahedral and vertically hybrid-isentropic/isopycnic grids is a cutting-edge approach to modeling climate variability. The design goals aim to achieve a global domain with no grid mismatch at the ocean-atmosphere interface, with key indicators such

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This content describes a lab session in Mechanics of Fluids and Transport Processes, focusing on simulating turbulent pipe flow using Computational Fluid Dynamics (CFD). It covers topics such as Reynolds number, turbulent flow features, turbulent models, and the simulation procedure. Students will a

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FASMEE is a collaborative project aimed at assessing and advancing fire and smoke modeling systems through critical measurement techniques and observational data. Led by key technical leads, FASMEE focuses on diverse modeling areas such as fire growth, effects, coupled fire-atmosphere behavior, smok

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In this lesson, we delve into subarea and corridor studies focusing on travel demand model refinements, highway network coding, corridor congestion relief, and trip assignment theory. Subarea modeling plays a crucial role in forecasting travel within smaller regions with detailed traffic patterns, t

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Ensure clarity on modeling goals and uncertainties. Select sample areas strategically based on interest and available data. Determine appropriate resolution for modeling. Define variables to model and validate the model effectively. Assess sample data adequacy and predictor variables availability. E

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This presentation by Justine Carroll, P.E., Project Manager, focuses on the hydraulic modeling and water quality considerations related to water storage tanks. It covers topics such as water age evaluation, steady state modeling, extended period simulations, pump controls, demand patterns, EPS verif

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Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re

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A new flexible framework for forward and inverse modeling of stormwater lids is presented. It includes governing equations, hydraulic and contaminant transport, numerical methods, and demonstration cases for various green infrastructure components. The importance of different processes in modeling i

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This workshop focused on the use of geometry modeling and mesh generation techniques in Computational Fluid Dynamics (CFD) simulations. Participants discussed key questions, findings, lessons learned, supporting evidence, and future plans relating to geometry manipulation, mesh quality, and the impa

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This summary provides an overview of recent NASA activities related to airloads, including data evaluation, reduction efforts, CFD validation, and ongoing research. The update covers the latest findings from wind tunnel data, rotor loads, blade displacement, and more. Additionally, it highlights upc

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The research presented at the 18th Organic World Congress in Istanbul delves into the Sustainability and Organic Livestock (SOL-m) modeling approach developed by FAO and FiBL. The study aims to explore the potential impacts of global conversion to organic livestock production by 2050 on food securit

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Explore the world of Automated Speech Recognition (ASR), including setup, basics, observations, preprocessing, language modeling, acoustic modeling, and Hidden Markov Models. Learn about the process of converting speech signals into transcriptions, the importance of language modeling in ASR accuracy

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Weekly coordination calls with Ramboll and discussions with EPA OAQPS leads focused on Regional Haze and modeling adjustments. Final draft of procedures document with visibility projections and glide slope adjustments. Upcoming RTOWG meetings covering methodology, projections, and modeling evaluatio

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Introduction to data modeling and design in Industrial Information Systems at King Saud University College of Engineering. The chapter covers the significance of data modeling, capturing data characteristics, structural information, and the role of databases and DBMS. Data modeling fills crucial gap

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Mega-Modeling is a comprehensive approach that encompasses model construction, evaluation, composition, evolution, and search to address challenges in various areas such as social and economic resilience, health, transportation, and energy management. The pillars of Mega-Modeling include Model-Drive

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NetLogo is a powerful and versatile programmable modeling environment created by Uri Wilensky in 1999. It allows users to simulate natural and social phenomena by giving instructions to multiple agents operating independently, making it ideal for modeling complex systems evolving over time. NetLogo

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This study and simulation focus on the experimental setup, measurement techniques, and results of a down-flow bubble column. It explores novel features such as inverted bubbly flow, micro-bubble generation, and gas injection. Detailed analysis includes axial and radial variations of volumetric gas h

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Vortex transport by uniform flow case study presented at the First International High-Order CFD Workshop in 2012. It focuses on assessing the efficiency of high-order methods for LES/DES of turbulent flows and comparing them with state-of-the-art 2nd order FV algorithms. The case involves a very low

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In the field of reservoir modeling, Gaussian mixture models offer a powerful approach to estimating rock properties such as porosity, sand/clay content, and saturations using seismic data. This analytical solution of the Bayesian linear inverse problem provides insights into modeling reservoir prope

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