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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Using a statistical approach, this research delves into the pore-scale modeling of intermittency and Ostwald ripening in two-phase flows. The study challenges the traditional linear relationship between pressure gradient and capillary number, highlighting the impact of fluid intermittency on flow be

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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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System modeling in engineering involves developing abstract models to represent a system from various perspectives using graphical notations like UML. These models aid in understanding system functionality, communicating with stakeholders, and documenting requirements for new systems. Existing and p

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System Protection Working Group (SPWG) held its first meeting of 2022 discussing topics such as Texas RE 2021 Q4 data, PRC standards updates, settlement-only distributed generation modeling in ASPEN, and inverter-based resource modeling challenges. SPWG aims to resolve modeling concerns to enhance s

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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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Use case modeling is a critical aspect of system development, capturing system behavior and interactions. It involves representing how a business system interacts with its environment through formal scenarios. Use cases benefit communication, identification, and verification, providing a clear under

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System models in software engineering play a crucial role in analyzing and designing systems. They help in understanding requirements, behavior, and structure of systems, bridging the gap between analysis and design processes. Different perspectives like external, behavioral, and structural are used

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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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Introduction to Petri nets and their application in modeling manufacturing systems. Covers formal definitions, elementary classes, properties, and analysis methods of Petri net models. Explores a two-product system example and its process modeling with shared and dedicated resources.

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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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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 lecture focuses on modeling synchronous machines for power system dynamics and stability analysis. Topics include load modeling, dynamic load models, and comparing results with different load characteristics. The content also covers commercial transient stability packages and adding detailed lo

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Explore the innovative Data Assimilation techniques and the Unified Forecast System for high-resolution regional modeling at NOAA. The suite aims to simplify operational Earth modeling, combining local and global domains, with an emphasis on observation processing, data assimilation, and verificatio

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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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This program offers engineers a unique opportunity to train under industry professionals, work on live projects, and gain hands-on experience in vehicle control systems. From seminars covering transfer functions and stability concepts to project phases focusing on modeling, design, and testing, part

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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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Explore the fundamentals of FSUTMS modeling, standards, and guidelines in a comprehensive workshop covering model structures, application groups, and subgroup recommendations. Gain insights into process management, interface validation, reporting flexibility, and more for effective transportation sy

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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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Explore the compartmental models of a dialysis machine in the field of Biomedical Engineering, focusing on one- and two-compartmental models of haemodialysis. Learn how mathematical modeling aids in tailoring dialysis therapy to individual patient needs, and discover the different approaches to dial

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Explore the key aspects of the system modeling workgroup's kick-off meeting, including agenda highlights, discussions on system modeling goals and purpose, developing a shared vision, and even a fun pizza activity that ties back to the homeless response system. Gain insights into the structured proc

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