Modeling allows for the development of an analytical framework for understanding phenomena through representing their logical, mathematical, and physical characteristics. A model presents a conceptual representation of something that exists in the real world, like a map. It provides a quantitative representation of qualitative real-world aspects. Models are designed using empirical data and must be consistent with that data. Organizations use multiple models to better understand complex internal and external systems over time and increase efficiency. Factors like simulation, structure, and visualization are important in scientific modeling across fields like ecology, economics, and behavior.
Design and economical of roof trusses & purlins (comparison of limit stat...eSAT Journals
Abstract For a structural design to be satisfactory, generally four major objectives – utility, safety, economical and elegance must be fulfilled. This paper presents a study on behaviour and economical of roof trusses and purlins by comparison of limit state and working stress method. Roof trusses and purlins are therefore an integral part of an industrial building and the like for supporting the roofing system. This paper presents a study on behaviour and economical of fink type roof trusses, channel section purlins by comparison of limit state and working stress method. This study involves in examination of theoretical investigations of specimens in series. Overall two methods were designed and comparison of all the internal force, economical, and hence, to evaluate the co-existing moments and shear forces at the critical cross-section with same configuration area by keeping all other parameters constant. The theoretical data are calculated using Indian Standard code IS 875-1975 (part III), IS 800 – 2007 using limit state method, IS 800- 1984 using working stress method and the section properties of the specimens are obtained using steel table. The specimens are designed under uniformly distributed loading with simply supported condition. The research project aims to provide which method is economical, high bending strength, more load carrying capacity and high flexural strength. The studies reveal that the theoretical investigations limit state method design is high bending strength, high load caring capacity, minimum deflection and minimum local buckling& distortional buckling compare to the working stress method. But working stress method is most economical compare to the limit state method design. Keywords bending strength, deflection, limit state method, purlins, roof trusses, working stress method.
A study on Gen y consumer attitude toward social media marketing in TrichyAnup Mohan
This study aims to specify Generation Y consumers’ attitude toward social media marketing. Given this context the questionnaire prepared for gathering data was distributed among 150 students of Jamal Mohamed College,Trichy belonging to age group 18-33 during August 2013.This research paper is based on my M.Phil dissertation.
History, Motives, and Tactics of Abu Sayyaf (Research Paper Sample)Essay Tigers
This is a research paper sample written by our writers. You can order a custom written research paper like this on our website: http://www.essaytigers.com
Design and economical of roof trusses & purlins (comparison of limit stat...eSAT Journals
Abstract For a structural design to be satisfactory, generally four major objectives – utility, safety, economical and elegance must be fulfilled. This paper presents a study on behaviour and economical of roof trusses and purlins by comparison of limit state and working stress method. Roof trusses and purlins are therefore an integral part of an industrial building and the like for supporting the roofing system. This paper presents a study on behaviour and economical of fink type roof trusses, channel section purlins by comparison of limit state and working stress method. This study involves in examination of theoretical investigations of specimens in series. Overall two methods were designed and comparison of all the internal force, economical, and hence, to evaluate the co-existing moments and shear forces at the critical cross-section with same configuration area by keeping all other parameters constant. The theoretical data are calculated using Indian Standard code IS 875-1975 (part III), IS 800 – 2007 using limit state method, IS 800- 1984 using working stress method and the section properties of the specimens are obtained using steel table. The specimens are designed under uniformly distributed loading with simply supported condition. The research project aims to provide which method is economical, high bending strength, more load carrying capacity and high flexural strength. The studies reveal that the theoretical investigations limit state method design is high bending strength, high load caring capacity, minimum deflection and minimum local buckling& distortional buckling compare to the working stress method. But working stress method is most economical compare to the limit state method design. Keywords bending strength, deflection, limit state method, purlins, roof trusses, working stress method.
A study on Gen y consumer attitude toward social media marketing in TrichyAnup Mohan
This study aims to specify Generation Y consumers’ attitude toward social media marketing. Given this context the questionnaire prepared for gathering data was distributed among 150 students of Jamal Mohamed College,Trichy belonging to age group 18-33 during August 2013.This research paper is based on my M.Phil dissertation.
History, Motives, and Tactics of Abu Sayyaf (Research Paper Sample)Essay Tigers
This is a research paper sample written by our writers. You can order a custom written research paper like this on our website: http://www.essaytigers.com
Chapters 4,5 and 6Into policymaking and modeling in a comple.docxtiffanyd4
Chapters 4,5 and 6
Into policymaking and modeling in a complex world
From Building a model to adaptive robust decision- making using systems modelling
Features and added value of simulation Models using different modelling approaches supporting policymaking: A comparative analysis.
Chapter Goals and Objectives Overall – students will learn and understand
consequences of complexity in the real-world, and meaningful ways to understand and manage such situations
the implications of complexity and that many social systems are unpredictable by nature, especially when in the presence of structural change (transitions)
natural tendency to criticize the approaches that ignore difficulties and pretend to predict using simplistic models
that managing a complex system requires a good understanding of the dynamics of the system in question—to know, before they occur, some of the real possibilities that might occur and be ready so they can be reacted to as responsively as possible.
4. Policymaking and modeling in a complex world
the word “complexity” can be used to indicate a variety of kinds of difficulties
identification of complexity and uncertainty in policy-making
in very simple physical systems, interactions may give rise to complex behavior, expressed in different types of behavior, ranging from very stable to chaotic
reasons why complex adaptive systems have a strong capacity to self-organize
two of the ways systems are oversimplified: quantification and compartmentalization
models are assessed by their ability to predict/mirror observed aspects of the environments
5. From building a model to adaptive robust decision-making using systems modeling
System Dynamics Modeling and Simulation of Old
✓ methods for modeling and simulating dynamically complex systems
✓ evolutions in modeling and simulation with recent explosive growth in computational power, data, social media, to support decision-making
Recent Innovations and Expected Evolutions
✓ Why often seemingly more revolutionary—innovations have been introduced and demonstrated, but that they have not been massively adopted yet
Current and Expected Evolutions
✓ Three current evolutions expected to further reinforce - “experiential art” to “computational science.”
Future State of Practice of Systems Modeling and Simulation
✓ modeling and simulation with sparse data to modeling and simulation with (near real-time) big data;
✓ simulating and analyzing a few simulation runs to simulating and simultaneously analyzing well-selected ensembles of runs;
✓ using models for intuitive policy testing to using models as instruments for designing adaptive robust robust policies;
✓ developing educational flight simulators to fully integrated decision support.
Features and added value of simulation models using different modelling approaches to policy-making: A Comparative analysis
Foundations of Simulation Modelling
✓ model simplification definitions—smaller, less detailed, le.
Chapters 4,5 and 6Into policymaking and modeling in a comple.docxmccormicknadine86
Chapters 4,5 and 6
Into policymaking and modeling in a complex world
From Building a model to adaptive robust decision- making using systems modelling
Features and added value of simulation Models using different modelling approaches supporting policymaking: A comparative analysis.
Chapter Goals and Objectives Overall – students will learn and understand
consequences of complexity in the real-world, and meaningful ways to understand and manage such situations
the implications of complexity and that many social systems are unpredictable by nature, especially when in the presence of structural change (transitions)
natural tendency to criticize the approaches that ignore difficulties and pretend to predict using simplistic models
that managing a complex system requires a good understanding of the dynamics of the system in question—to know, before they occur, some of the real possibilities that might occur and be ready so they can be reacted to as responsively as possible.
4. Policymaking and modeling in a complex world
the word “complexity” can be used to indicate a variety of kinds of difficulties
identification of complexity and uncertainty in policy-making
in very simple physical systems, interactions may give rise to complex behavior, expressed in different types of behavior, ranging from very stable to chaotic
reasons why complex adaptive systems have a strong capacity to self-organize
two of the ways systems are oversimplified: quantification and compartmentalization
models are assessed by their ability to predict/mirror observed aspects of the environments
5. From building a model to adaptive robust decision-making using systems modeling
System Dynamics Modeling and Simulation of Old
✓ methods for modeling and simulating dynamically complex systems
✓ evolutions in modeling and simulation with recent explosive growth in computational power, data, social media, to support decision-making
Recent Innovations and Expected Evolutions
✓ Why often seemingly more revolutionary—innovations have been introduced and demonstrated, but that they have not been massively adopted yet
Current and Expected Evolutions
✓ Three current evolutions expected to further reinforce - “experiential art” to “computational science.”
Future State of Practice of Systems Modeling and Simulation
✓ modeling and simulation with sparse data to modeling and simulation with (near real-time) big data;
✓ simulating and analyzing a few simulation runs to simulating and simultaneously analyzing well-selected ensembles of runs;
✓ using models for intuitive policy testing to using models as instruments for designing adaptive robust robust policies;
✓ developing educational flight simulators to fully integrated decision support.
Features and added value of simulation models using different modelling approaches to policy-making: A Comparative analysis
Foundations of Simulation Modelling
✓ model simplification definitions—smaller, less detailed, le ...
In this paper we present an approach of Model Versioning and Model Repository in context of Living
Models view. The idea of Living Models is a step forward from Model Based Software Development
(MBSD) in a sense that there is tight coupling between various artifacts of software development process.
These artifacts include System Models, Test Models, Executable artifacts etc. We explore the issues of
storage (import/export) of model elements into repository, inputs of cross link information, version
management and system analysis. The modeling environment in which these issues will be discussed is a
heterogeneous modeling environment, where different models types and different modeling tools are used
in the development process. An overview of the tool architecture is also presented..
Chapters 4,5 and 6Into policymaking and modeling in a comple.docxtiffanyd4
Chapters 4,5 and 6
Into policymaking and modeling in a complex world
From Building a model to adaptive robust decision- making using systems modelling
Features and added value of simulation Models using different modelling approaches supporting policymaking: A comparative analysis.
Chapter Goals and Objectives Overall – students will learn and understand
consequences of complexity in the real-world, and meaningful ways to understand and manage such situations
the implications of complexity and that many social systems are unpredictable by nature, especially when in the presence of structural change (transitions)
natural tendency to criticize the approaches that ignore difficulties and pretend to predict using simplistic models
that managing a complex system requires a good understanding of the dynamics of the system in question—to know, before they occur, some of the real possibilities that might occur and be ready so they can be reacted to as responsively as possible.
4. Policymaking and modeling in a complex world
the word “complexity” can be used to indicate a variety of kinds of difficulties
identification of complexity and uncertainty in policy-making
in very simple physical systems, interactions may give rise to complex behavior, expressed in different types of behavior, ranging from very stable to chaotic
reasons why complex adaptive systems have a strong capacity to self-organize
two of the ways systems are oversimplified: quantification and compartmentalization
models are assessed by their ability to predict/mirror observed aspects of the environments
5. From building a model to adaptive robust decision-making using systems modeling
System Dynamics Modeling and Simulation of Old
✓ methods for modeling and simulating dynamically complex systems
✓ evolutions in modeling and simulation with recent explosive growth in computational power, data, social media, to support decision-making
Recent Innovations and Expected Evolutions
✓ Why often seemingly more revolutionary—innovations have been introduced and demonstrated, but that they have not been massively adopted yet
Current and Expected Evolutions
✓ Three current evolutions expected to further reinforce - “experiential art” to “computational science.”
Future State of Practice of Systems Modeling and Simulation
✓ modeling and simulation with sparse data to modeling and simulation with (near real-time) big data;
✓ simulating and analyzing a few simulation runs to simulating and simultaneously analyzing well-selected ensembles of runs;
✓ using models for intuitive policy testing to using models as instruments for designing adaptive robust robust policies;
✓ developing educational flight simulators to fully integrated decision support.
Features and added value of simulation models using different modelling approaches to policy-making: A Comparative analysis
Foundations of Simulation Modelling
✓ model simplification definitions—smaller, less detailed, le.
Chapters 4,5 and 6Into policymaking and modeling in a comple.docxmccormicknadine86
Chapters 4,5 and 6
Into policymaking and modeling in a complex world
From Building a model to adaptive robust decision- making using systems modelling
Features and added value of simulation Models using different modelling approaches supporting policymaking: A comparative analysis.
Chapter Goals and Objectives Overall – students will learn and understand
consequences of complexity in the real-world, and meaningful ways to understand and manage such situations
the implications of complexity and that many social systems are unpredictable by nature, especially when in the presence of structural change (transitions)
natural tendency to criticize the approaches that ignore difficulties and pretend to predict using simplistic models
that managing a complex system requires a good understanding of the dynamics of the system in question—to know, before they occur, some of the real possibilities that might occur and be ready so they can be reacted to as responsively as possible.
4. Policymaking and modeling in a complex world
the word “complexity” can be used to indicate a variety of kinds of difficulties
identification of complexity and uncertainty in policy-making
in very simple physical systems, interactions may give rise to complex behavior, expressed in different types of behavior, ranging from very stable to chaotic
reasons why complex adaptive systems have a strong capacity to self-organize
two of the ways systems are oversimplified: quantification and compartmentalization
models are assessed by their ability to predict/mirror observed aspects of the environments
5. From building a model to adaptive robust decision-making using systems modeling
System Dynamics Modeling and Simulation of Old
✓ methods for modeling and simulating dynamically complex systems
✓ evolutions in modeling and simulation with recent explosive growth in computational power, data, social media, to support decision-making
Recent Innovations and Expected Evolutions
✓ Why often seemingly more revolutionary—innovations have been introduced and demonstrated, but that they have not been massively adopted yet
Current and Expected Evolutions
✓ Three current evolutions expected to further reinforce - “experiential art” to “computational science.”
Future State of Practice of Systems Modeling and Simulation
✓ modeling and simulation with sparse data to modeling and simulation with (near real-time) big data;
✓ simulating and analyzing a few simulation runs to simulating and simultaneously analyzing well-selected ensembles of runs;
✓ using models for intuitive policy testing to using models as instruments for designing adaptive robust robust policies;
✓ developing educational flight simulators to fully integrated decision support.
Features and added value of simulation models using different modelling approaches to policy-making: A Comparative analysis
Foundations of Simulation Modelling
✓ model simplification definitions—smaller, less detailed, le ...
In this paper we present an approach of Model Versioning and Model Repository in context of Living
Models view. The idea of Living Models is a step forward from Model Based Software Development
(MBSD) in a sense that there is tight coupling between various artifacts of software development process.
These artifacts include System Models, Test Models, Executable artifacts etc. We explore the issues of
storage (import/export) of model elements into repository, inputs of cross link information, version
management and system analysis. The modeling environment in which these issues will be discussed is a
heterogeneous modeling environment, where different models types and different modeling tools are used
in the development process. An overview of the tool architecture is also presented..
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Unit 8 - Information and Communication Technology (Paper I).pdf
Perfectessay.net research paper sample #6 apa style
1. Modeling 1
Running Heading: MODELING
Modeling
[Name of Student]
[Name of Instructor]
[Course]
2. Modeling 2
Modeling
Modeling allows for a mode of inquiry to be developed pertaining to the area in which it is being
used. By bringing together the logical, mathematical and physical characteristics that a
phenomenon possess, a model allows for an in-depth analysis which gives a birds-eye view of
the scenario and allows for the detection of sinks where resources are being over used or under
used. In general terms, a model presents the conceptual staging of a phenomenon that is already
present in real life. It is the conceptual reincarnation of an occurrence or a frequent series of
occurrences that exist in the real world. The most common example of a model is a map (Powell
& Baker, 2008). A map presents the very core of concepts that establish the foundations of
modeling. It allows for a quantitative representation of numerous qualitative aspects that exist in
the real world.
A model relevant to a scenario is designed by bringing empirical data pertaining to that scenario.
It is necessary for the data to be of a nature that allows the generation and observation of the data
to be repeated. If the model is found to be inconsistent with the data, it is mandatory that the
model is either redesigned or modified.
The manner adopted to design the model and the approach that is given to the foundation of the
model is more than often reliant upon the requirements of the end user. However, when
analyzing a model, it is necessary to understand that every model has a number of assumptions
that justify the validity of that model. Modeling can be used and is brought into use in almost all
developed areas of daily life. An example can be found in the US Postal Service that exercises
3. Modeling 3
numerous models to ensure efficiency in its operational framework. One of the most frequently
used of these models is the Transportation Model the US Postal Service uses in order to reduce
transportation costs (ILOG, 2008). This model has been generated by combining a number of
networks together and has been made possible by collaboration between USPS and IBM.
The reason because of which organizations are opting to developing and implementing models is
because a model allows for the establishment for better understanding of a system that would
otherwise enter into a spiral that would lead to an increase in the degree of complexity as time
goes by. It is for the same reason that more than one model alone is often used by organizations
to develop a better understanding of the interaction between the internal and external elements
that influence the functioning of the organization (Brooks, 2001).
Factors that hold relevance when a scientific model is being designed or studied include
simulation, structure and visualization. However, the numbers of types of models that are
brought into use in the modern day world of modeling are equivalent to the number of
applications that models are used for. It is for the same reason that models are used to study
phenomenon ranging from ecological to economical to behavioral. This also explains why
models are relatable to almost every platform that their area of application requires them to be
related to.
The platforms that are used to design and study models can range from mental to visual to
mathematical to spreadsheet. We can conclude from this brief analysis of models and their
relevance that models allow for a thorough understanding of the subject scenario to be developed
which in turn allows for the identification of problems and their eradication to increase
efficiency.
4. Modeling 4
Works Cited
Brooks, W. (2001, May 31). Modeling Lesson. Retrieved March 12, 2009, from nasa.gov: http://
www.nas.nasa.gov/About/Education/Ozone/modeling.html
ILOG. (2008, September 9). The United States Postal Service Uses Transportation Modeling to
Reduce Transportation Costs . Retrieved March 12, 2009, from ilog.com:
http://www.ilog.com/corporate/releases/us/080909_usps.cfm
Powell, S., & Baker, K. (2008). Management Science: The Art of Modeling with Spreadsheets,
Excel 2007 Update. Wiley.
![Modeling 1
Running Heading: MODELING
Modeling
[Name of Student]
[Name of Instructor]
[Course]](https://image.slidesharecdn.com/perfectessay-netresearchpaperapasample6-100730021038-phpapp02/85/Perfectessay-net-research-paper-sample-6-apa-style-1-320.jpg)
