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

23 views • 48 slides

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.

1 views • 14 slides

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

1 views • 84 slides

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

0 views • 26 slides

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

0 views • 42 slides

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

1 views • 8 slides

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.

0 views • 12 slides

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

0 views • 16 slides

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

0 views • 14 slides

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

0 views • 17 slides

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

1 views • 16 slides

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

1 views • 37 slides

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

0 views • 10 slides

Real-time systems in computing refer to the concept of task execution meeting specific deadlines, with examples including process control in industrial plants, robotics, air traffic control, and more. Tasks in real-time systems have defined release, schedule, completion times, and deadlines, with ru

0 views • 46 slides

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

0 views • 22 slides

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

0 views • 28 slides

Real-time systems are defined by the critical nature of timely results, where correctness depends not just on computation but also on when results are produced. Characteristics include timing constraints, deadlines, and different types of tasks categorized based on timing patterns. Understanding sof

0 views • 21 slides

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

1 views • 65 slides

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

1 views • 21 slides

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

5 views • 30 slides

This workbook is designed to assist leadership teams in creating an action plan to implement and enhance real-world learning in their school districts. It involves self-assessment, reflection, and action plan development. The vision, considerations, and action items for real-world learning are explo

0 views • 25 slides

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

1 views • 45 slides

Explore the world of IDEF1X data modeling in manufacturing systems, from components of information to the benefits of analysis. Learn why developing an IDEF1X model is crucial for information resource management and how it helps in achieving a competitive edge. Discover what an IDEF1X model is and h

3 views • 92 slides

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

0 views • 9 slides

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

0 views • 34 slides

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

0 views • 6 slides

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

0 views • 20 slides

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

0 views • 25 slides

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

0 views • 28 slides

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

0 views • 5 slides

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

0 views • 51 slides

NEMO (Nucleus for European Modeling of the Ocean) is a comprehensive software used for numerical simulation of the ocean. Its components include the blue ocean (NEMO-OPA) for dynamics, white ocean (NEMO-LIM) for sea-ice simulation, and green ocean (NEMO-TOP) for biogeochemistry. NEMO produces model

0 views • 10 slides

Trigonometric functions are powerful tools for modeling oscillating motions and repeating patterns in real-life scenarios. By interpreting and utilizing frequency, writing trigonometric functions, and using technology for accurate modeling, you can effectively capture phenomena like sound waves, pen

0 views • 15 slides

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

0 views • 14 slides

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

0 views • 7 slides

Explore the fundamentals of data modeling through concepts like entities, attributes, identifiers, and their real-world applications, including examples related to Greta Garbo, modeling reality, and global legal entity identifiers. Discover how to design data models for diverse scenarios, such as re

0 views • 57 slides

Explore the research on physically unclonable function (PUF) modeling attacks using Logistic Regression and CMA-ES algorithms. Learn to simulate and analyze reliable and noisy PUF instances, implement attacks, and assess modeling accuracy. The laboratory goals include simulating APUF and XOR PUF sys

0 views • 10 slides

Explore the world of Computational Earth Science with Bill Menke as the instructor and Emily Glazer as the teaching assistant. The course aims to help you become proficient in applying Python-based computational methods to understand dynamic Earth Science phenomena. Through modeling, you will gain i

0 views • 34 slides

Dive into the world of state diagrams and state machine diagrams in software process modeling. Explore hands-on exercises such as creating state diagrams for controlling air conditioners and garage doors. Understand the importance of capturing object states in OOP and learn how to represent transiti

0 views • 7 slides

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

0 views • 10 slides