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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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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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 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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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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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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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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Introduction to Structured Text in PLC Programming
Structured text is a high-level text language used in PLC programming to implement complex procedures not easily expressed with graphical languages. It involves logical operations, ladder diagrams, and efficient control logic for industrial automation. Concepts such as sensor input, logic operation
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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 Functional Skills: Text Analysis and Application
This instructional text guides learners through the purpose of functional skills in analyzing different types of text, such as skimming and scanning, and understanding the features of various text genres. It includes activities to practice skimming, scanning, and detailed reading, with a focus on de
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Enhancing Accessibility Through Alternate Text in Microsoft Documents
Explore the importance of alternate text in Microsoft documents for accessibility. Learn what alternate text is, why and when you should use it, and how to add it effectively. Discover the benefits of incorporating alternate text and the legal aspects related to accessibility under Section 508. Enha
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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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Text Classification and Nave Bayes: The Power of Categorizing Documents
Text classification, also known as text categorization, involves assigning predefined categories to free-text documents. It plays a crucial role in organizing and extracting insights from vast amounts of unstructured data present in enterprise environments. With the exponential growth of unstructure
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Understanding Audience and Purpose in Text Analysis
When analyzing written texts, identifying the purpose and audience is crucial. The purpose reflects the reason behind the text, while the audience indicates who the text is intended for. By recognizing these aspects, one can better understand the content, language, and overall impact of the text. Va
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Essential Information on Text-to-911 System
Explore key details about the text-to-911 system, including capturing text conversations, handling abandoned calls, transferring text calls to queues, and managing text conversations effectively. Learn about system configurations, call release timings, and dispatcher capabilities in handling text me
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Text-to-911 System Operations Quiz
Test your knowledge on Text-to-911 system operations with this quiz. Learn about capturing text conversations, handling abandoned calls, transferring calls to queues, text conversation timelines, and more. Enhance your understanding of the protocols and procedures involved in managing text-based eme
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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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Understanding Text Representation and Mining in Business Intelligence and Analytics
Text representation and mining play a crucial role in Business Intelligence and Analytics. Dealing with text data, understanding why text is difficult, and the importance of text preprocessing are key aspects covered in this session. Learn about the goals of text representation, the concept of Bag o
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Introduction to JMP Text Explorer Platform: Unveiling Text Exploration Tools
Discover the power of JMP tools for text exploration with examples of data curation steps, quantifying text comments, and modeling ratings data. Learn about data requirements, overall processing steps, key definitions, and the bag of words approach in text analysis using Amazon gourmet food review d
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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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Understanding Bigrams and Generating Random Text with NLTK
Today's lecture in the Computational Techniques for Linguists course covered the concept of bigrams using NLTK. Bigrams are pairs of words found in text, which are essential for tasks like random text generation. The lecture demonstrated how to work with bigrams, including examples from the NLTK boo
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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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Enhancing Reading Comprehension Through Text-Dependent Questions
This resource delves into the significance of text-dependent questions in improving students' reading comprehension skills by emphasizing the importance of evidence from the text, building knowledge through nonfiction, and developing critical thinking abilities. It highlights key advances in educati
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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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Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling
This study explores the use of Riemannian Normalizing Flow on Variational Wasserstein Autoencoder (WAE) to address the KL vanishing problem in Variational Autoencoders (VAE) for text modeling. By leveraging Riemannian geometry, the Normalizing Flow approach aims to prevent the collapse of the poster
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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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