Modeling and Optimization of Power Distribution System
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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Modern Threat Modeling & Cloud Systems in OWASP Sacramento
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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Understanding Petri Nets: A Versatile Tool for Modeling Systems
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 Modelling Using Artificial Neural Network: A Case Study of Purna Sub-catchment, India
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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Exploring Complexity and Complicatedness in Travel Demand Modeling Systems
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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DeepMainMast Tutorial: Protein Structure Modeling on Web Server and Google Colab
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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How AI is Revolutionizing 3D Modeling and Animation ?
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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Statistical Modeling of Pore-Scale Intermittency and Ostwald Ripening
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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Overview of Army Modeling and Simulation Office
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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Autodesk Inventor Geometric Construction Tools Overview
Explore the functionality of Autodesk Inventor's geometric construction tools, such as applying geometry constraints, utilizing trim/extend and offset commands, understanding profile sketches, creating projected geometry, and editing sketches with click and drag. Discover how to enhance efficiency i
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Historic Precipitation Hydrologic Modeling with HEC-HMS Slides by Greg Karlovits, Emily Moe, Daniel Black
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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R7 Network Slicing Model Proposal and Structure Overview
Explore the modeling requirements for R7 network slicing, focusing on slice subnet domain combinations within the NST model. The proposal delves into CST, NSST, slice profiles, NF configuration, and more to enhance the understanding of network slicing. Learn about the modeling structure, CST-DT rela
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Capacity Zone Modeling for Forward Capacity Auction 17 Results
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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Distribution Feeder Modeling and Analysis Overview
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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Understanding the Benefits of Video Modeling in Education
Video modeling is a powerful tool used in education to teach skills in a structured and visual manner. It helps teachers, staff, and families deliver instruction consistently and effectively, benefiting learners of all ages and developmental levels. The approach is particularly useful for students w
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Understanding Data Modeling vs Object Modeling
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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Understanding Baseflow Modeling in HEC-HMS
Baseflow in HEC-HMS plays a crucial role in modeling runoff volume, consisting of groundwater flow components like interflow and baseflow. Different approaches are used to model baseflow, with HEC-HMS currently incorporating conceptual methods. The response times for interflow and baseflow differ, i
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Evolution of Modeling Methodologies in Telecommunication Standards
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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Understanding Geometric Modeling in CAD
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 Protection Working Group Update - April 7, 2022
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 and Error Analysis in Engineering
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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Spatial Analysis & Modeling for Spatial Planning Training in Maputo, Mozambique
Explore spatial analysis techniques for efficient route planning, site selection, pattern identification, and value prediction in the context of spatial planning. Learn about surface modeling, relationships among features, and the importance of spatial modeling in addressing geographical problems.
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Introduction to Dynamic Structural Equation Modeling for Intensive Longitudinal Data
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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System Modeling and Simulation Overview
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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Understanding Object Modeling in Software Development
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 Icosahedral Grids
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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Examples of Advanced View Wireframes for Order Management System
This content showcases wireframe examples of an Advanced View for managing orders in a system. Each order has its own view with data connected in different tabs. The Details Slidein provides a summary of offers, orders, and customers, while the detailed view offers more in-depth information. The ima
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Fire and Smoke Modeling Evaluation Effort (FASMEE) Overview
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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Subarea and Highway Corridor Studies: Travel Demand Modeling and Refinements
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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Essential Steps for Setting up a Modeling Study
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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Water Storage Tanks Hydraulic Modeling and Water Quality Considerations
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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Advancing Computational Modeling for National Security and Climate Missions
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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Flexible Framework for Stormwater Lids Modeling
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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Sustainability and Organic Livestock Modeling for Global Food Security
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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Understanding Automated Speech Recognition Technologies
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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Update on Modeling and Coordination Discussions
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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Importance of Data Modeling in Industrial Information Systems
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 for Big Data Analytics
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 - Programmable Modeling Environment for Simulating Natural and Social Phenomena
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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Reservoir Modeling Using Gaussian Mixture Models
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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