Conceptual modeling - PowerPoint PPT Presentation


Conceptual Framework for Healthcare Innovation in Rural Areas

Explore a conceptual framework integrating home care and mobile health services for poverty alleviation and rural development in African regions. Addressing critical health challenges, this research aims to bridge healthcare disparities and promote rural development, focusing on innovative approache

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Hydrologic Modeling Methods in HEC-HMS: A Comprehensive Overview

Explore the transformative methods within HEC-HMS hydrologic modeling, including unit hydrograph derivation, excess precipitation transformation, hydrograph illustration, surface transform methods, and concepts like the kinematic wave and 2D diffusion wave. Learn about the unit hydrograph, kinematic

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Overview of Research Process and Quantitative Research Phases

The research process involves steps like identifying, locating, assessing, and analyzing the research question to find answers. It includes quantitative and qualitative approaches, with specific phases like conceptual, design, empirical, analytic, and disseminating phases in quantitative research. E

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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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Localisation in Child Protection Coordination: A Conceptual Framework

This presentation explores the preliminary conceptual framework and approach for localisation in child protection coordination. It delves into the roles of local actors, coordination systems, governance, decision-making, partnerships, and funding in promoting localisation efforts. The importance of

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Understanding IFLA LRM: A Conceptual Reference Model

IFLA LRM, created by the International Federation of Library Associations and Institutions, consolidates FRBR, FRAD, and FRSAD models into a coherent framework. It aims to structure bibliographic data logically and inclusively, focusing on end-user needs and tasks. The model describes interrelated e

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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 Semantic Features in Language Study

Studying basic conceptual meaning is crucial in language analysis to explain the oddness in sentences like "The hamburger ate the boy." Semantic roles and thematic roles help identify the roles of entities in a sentence, such as agents and themes. By analyzing the components of conceptual meaning, 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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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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Understanding Theoretical and Conceptual Frameworks in Research

The theoretical and conceptual frameworks in research play vital roles by grounding studies in theoretical constructs, enhancing rigor and empiricism, and guiding the research process. The theoretical framework provides a blueprint based on existing theories, guiding researchers in developing their

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Local Productive Systems Transitioning to Industry 4.0+: A Conceptual Framework

A conceptual framework explores factors influencing local productive systems (LPSs) transitioning to Industry 4.0+, emphasizing sustainability models vs. technocratic approaches. It delves into challenges of digital, social, and green transitions, advocating for innovation systems and cross-domain p

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UNICEF Conceptual Framework on the Causes of Malnutrition

The UNICEF conceptual framework on the causes of malnutrition outlines the multidimensional factors contributing to malnutrition, categorized into immediate, underlying, and basic causes. Immediate causes include inadequate dietary intake and diseases, while underlying causes involve issues like ina

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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 the Conceptual Framework of Financial Reporting

The Conceptual Framework of Financial Reporting for 2019 outlines key chapters focusing on objectives, qualitative characteristics, financial statements, elements, recognition, measurement, presentation, and capital maintenance. It emphasizes the importance of providing information on stewardship an

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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 Entity-Relationship Modeling in Database Systems

Entity-Relationship (ER) modeling is a crucial aspect of designing database systems. It helps in defining data elements and relationships, presenting a conceptual view of the database structure. Entities, attributes, key attributes, composite attributes, and multivalued attributes play distinct role

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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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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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Exploring the Conceptual Metaphor Theory: Enhancing Understanding Through Metaphors

Understanding the Conceptual Metaphor Theory involves grasping how metaphors enhance language expression and comprehension. By relating one conceptual domain to another, individuals can extend language usage beyond immediate experiences, allowing for unlimited expression. The theory's strength hinge

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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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Effective Mathematics Teaching with Bar Modeling

Explore the use of the bar model strategy for teaching mathematics effectively with real-life examples like "The Cookie Jar Problem" and "Grade 5 SATs Problem." Learn how bar modeling helps students visualize and solve math problems, promoting conceptual understanding and fostering mathematical proc

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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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Understanding Data Modeling and Database Schema Design

Explore various aspects of data modeling, ranging from conceptual to physical models, using tools like CASE Tool and ArcGIS. Learn about entity-relationship diagrams, UML notations, and diagrammatic notations in the context of constructing data models. Discover the significance of classes, relations

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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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