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 entropic nature of British Victorian Literature as Hannah Harris explores the concept of entropy in storytelling. Uncover how the lack of a defined center and the compulsion to repeat shape these works, validated by science as faithful reflections of life through realism.

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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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The recommended maximum heart rate formula has been updated from 220 - age to 208 * (0.7 * age). This alteration results in a slight decrease in maximum heart rate for young individuals and a slight increase for older individuals. We aim to determine the age at which the new formula causes an increa

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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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Exploring the measurement of maximum and minimum air temperature, its significance in analyzing trends and variations, and how temperature impacts plant growth stages. The optimal temperature ranges for different plant species and the importance of maximum and minimum temperature recordings using sp

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Explore the concept of increasing the maximum window size of TCP to improve performance. Delve into discussions on the current limitations, proposals for enhancement, and the importance of understanding TCP sequencing. Discover insights on why the maximum window size must be less than 2^30 and wheth

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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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Exploring the Carnot engine as an ideal model to understand the Second Law of Thermodynamics, which highlights the efficiency of heat engines and the concept of entropy. The engine operates through a cyclic process, transferring heat from a high-temperature reservoir to a low-temperature one, produc

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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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Explore the fundamental principles of the kinetic theory of gases, including the five postulates and the relationship between macroscopic properties and microscopic phenomena. Delve into the concept of entropy and thermodynamics, along with the behavior of ideal and real gases. Gain insights into th

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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 collection of images and text delves into various topics in statistics essential for engineers, such as point estimation, unbiased estimators, maximum likelihood, and estimating parameters from different probability distributions. Concepts like estimating from Uniform samples, choosing between

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Estimation methods play a crucial role in statistical modeling. Maximum Likelihood Estimation (MLE) is a powerful technique invented by Fisher in 1922 for estimating unknown model parameters. This session explores how MLE works, its applications in different scenarios like genetic analysis, and prac

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Development and testing of a High Entropy Alloy-based Solid Oxide Fuel Cell (SOFC) anode for controlled reformation to improve thermal performance, reduce carbon deposition, and enhance durability. The project involves fabricating cells, electrochemical testing, modeling reformation rates, and scali

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The Ford-Fulkerson algorithm is used to find the maximum flow in a network by iteratively pushing flow along paths and updating residual capacities until no more augmenting paths are found. This algorithm is crucial for solving flow network problems, such as finding min-cuts and max-flow. By modelin

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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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This lecture delves into the concepts of entropy and the Second Law of Thermodynamics. It discusses the intuitive sense of energy, the nature of entropy, and the irreversibility of processes. The Second Law is highlighted in relation to heat transfer, work, and the increase of entropy in the univers

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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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Information entropy, a key concept in information theory, measures the average amount of information in a message. Source entropy and binary source entropy are explained with examples, along with maximum source entropy for both binary and non-binary sources. Learn how to calculate entropy for differ

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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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In gas dynamics, normal shock waves occur when there is a significant pressure difference across a compression pulse, leading to increased entropy. This results in non-isentropic flow known as compression shock waves. The formation of compression and expansion waves can be likened to piston movement

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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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Maximum Entropy modeling, also known as MaxEnt, is a technique that maximizes randomness by removing patterns in data. This method is widely used in environmental science to create models using covariates, occurrences, and probability density functions. The relationships between histograms and proba

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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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Description of the Gibbs problem of entropy mixing gases, conventional resolution, issues of (dis)continuity, the role of indistinguishability and quantum mechanics in resolution, dissenting views, necessity of quantum mechanics, and the relationship between statistical mechanics and entropy. Key di

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Verification of the Third Law of Thermodynamics through the study of phase transitions in elements like sulfur, exemplifying the relationship between heat capacity, enthalpy, entropy, and the Third Law. Experimental data on entropy changes and molar entropies, as well as insights into the behavior o

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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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