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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Regional Climate Modeling in CORDEX South Asia for Climate Change Research
This information details the regional climate modeling efforts within the CORDEX South Asia framework, focusing on high-resolution dynamical downscaling of CMIP5 climate projections. It highlights the activities, opportunities, and challenges for assessing regional climate change, along with future
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Revolutionizing with NLP Based Data Pipeline Tool
The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven
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Ask On Data for Efficient Data Wrangling in Data Engineering
In today's data-driven world, organizations rely on robust data engineering pipelines to collect, process, and analyze vast amounts of data efficiently. At the heart of these pipelines lies data wrangling, a critical process that involves cleaning, transforming, and preparing raw data for analysis.
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Data Wrangling like Ask On Data Provides Accurate and Reliable Business Intelligence
In current data world, businesses thrive on their ability to harness and interpret vast amounts of data. This data, however, often comes in raw, unstructured forms, riddled with inconsistencies and errors. To transform this chaotic data into meaningful insights, organizations need robust data wrangl
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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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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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Recent Advances in Computational Doppler Radar Data Modeling
Explore the latest developments in computational modeling of Doppler radar data, focusing on error estimation, dual vs. single pol radars comparison, uncertainty quantification, and methodology for analyzing Doppler radar predictions against gauge measurements. The study involves data from multiple
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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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Understanding Structured Analysis in Software Design
Structured analysis in software design aims to describe customer requirements, create a basis for software design, and define validatable requirements. Two main modeling philosophies, structured analysis, and object-oriented analysis are discussed. Structured Analysis Model Elements such as Data Flo
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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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Introduction to Business Intelligence and Analytics
Explore the fundamentals of Business Intelligence, Data Science, and Data Mining in Session 1. Understand how to solve business problems using data analytics, modeling principles, and practical implementation methods. Delve into data warehousing, data engineering, data mining, data science, simulati
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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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Understanding Data Governance and Data Analytics in Information Management
Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data ma
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High-Level Conceptual Data Modeling in Database Management Systems
Explore the world of high-level conceptual data modeling in database management systems through understanding ER and UML notations, designing entity-relationship models, and translating conceptual designs into practical implementation phases. Learn about data requirements analysis, database schema d
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Understanding Reltio Data Model and Architecture
Reltio offers a dynamic and metadata-driven data model that simplifies database modeling and allows for easy changes without impacting the underlying storage. Key differences between Reltio and relational models include multi-valued attributes, nested attributes, and built-in address cleanse engine.
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Understanding Mathematical Modeling and Error Analysis in Engineering
Mathematical modeling plays a crucial role in problem-solving in engineering by using numerical methods. This involves formulating problems for solutions through arithmetic operations. The study of numerical methods is essential as they are powerful problem-solving tools that enhance computer usage
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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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Dynamic Behavior Modeling of Manufacturing Systems using Petri Nets
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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Understanding Vegetation Dynamics with LPJ-GUESS Modeling
Explore the modeling of vegetation dynamics using LPJ-GUESS, covering stand to global scale approaches, management needs, and ecosystem-scale considerations. Discover the characteristics of ecosystem-scale modeling and the inputs and outputs of LPJ-GUESS for simulating vegetation dynamics.
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GTAModel v4.2 Overview and Updates
This document provides an overview of GTAModel v4.2, including initial network assignment, load data analysis, access station modeling, mode choice considerations, and more. It highlights the new features and enhancements such as updated network assignments, transit models, freight modeling, and tim
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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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Cutting-Edge Atmospheric Chemistry Modeling Research at Barcelona Supercomputing Center
Conducted by the Atmospheric Composition Group at Barcelona Supercomputing Center, this cutting-edge research focuses on atmospheric chemistry modeling using advanced tools and frameworks like HERMESv3 and MONARCH. The team's approach integrates various modules to study complex processes influencing
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Understanding Data Collection and Analysis for Businesses
Explore the impact and role of data utilization in organizations through the investigation of data collection methods, data quality, decision-making processes, reliability of collection methods, factors affecting data quality, and privacy considerations. Two scenarios are presented: data collection
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