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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Delve into the world of hydrologic modeling with HEC-HMS through a detailed presentation by experts Greg Karlovits, Emily Moe, and Daniel Black. Explore meteorologic models, atmospheric boundary conditions, basin modeling, and simulation runs in this informative slide series.

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Structural Equation Modeling (SEM) is a statistical technique used to analyze relationships between variables, including quality of life factors such as physical health and mental well-being. Quality of life is a multidimensional concept encompassing various aspects like social relationships, living

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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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Multidimensional scaling (MDS) aims to represent similarity or dissimilarity measurements between objects as distances in a lower-dimensional space. Principal Coordinates Analysis (PCoA) and other unsupervised learning methods like PCA are used to preserve distances between observations in multivari

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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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Explore the advancements in poverty measurement through a presentation focusing on the adoption of multidimensional poverty indices in the Dominican Republic. The session delves into various poverty measures used, including the Multidimensional Poverty Index (MPI) by UNDP, highlighting the country's

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The 8th Annual High-Level Meeting of the Multidimensional Poverty Peer Network (MPPN) was hosted by the Government of Chile on 4-5 October, 2021. Dr. Ram Kumar Phuyal from the Government of Nepal National Planning Commission presented at the event. The meeting discussed poverty, its measurement tech

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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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The National Multidimensional Poverty Index (NMPI) in Sri Lanka, developed in collaboration with OPHI and DCS, is presented by P.M.P. Anura Kumara. The Alkire and Foster method is used to analyze and measure poverty, considering various dimensions and indicators such as education, health, standard o

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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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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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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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Exploring the multidimensional optimality of microbial metabolism through metabolic network analysis, C-based flux analysis, and stoichiometric reaction modeling. The concept of Pareto optimal solutions in multi-objective optimization problems is discussed in the context of microbial metabolic pathw

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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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The Arab Multidimensional Poverty Reports shed light on child poverty, emphasizing the importance of focusing on children's well-being alongside household-level measurements. The reports utilize the Arab-MODA framework to measure child poverty, assessing various dimensions such as health, education,

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Explore the latest findings on multidimensional poverty in Vietnam based on indicators from 2016 to 2021, including rates, indices, censored headcount ratios, and deprivation contributions, highlighting regional disparities and strategies for poverty reduction through targeted policies. Learn about

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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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Explore the dynamics of multidimensional cheap talk, focusing on sender-receiver interactions, influential equilibrium, welfare rankings, and fragility to asymmetries. Lessons touch on bubbling equilibrium, influential equilibrium issues, welfare rankings preferences, and the impact of asymmetric pr

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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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Multidimensional scaling (MDS) is a powerful technique for data reduction that helps reveal underlying relationships among observations without the need for metric data. It is particularly valuable for field researchers dealing with nonmetric measurements. MDS generates graphical representations of

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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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