Simulation Project 2
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The document describes a simulation model of a port system with one tug that pulls tankers. It outlines the problem definition, project planning, system definition, conceptual model formulation, preliminary experimental design, input data preparation, model translation, verification and validation, final experimentation design, experimentation, analysis and interpretation, and documentation and implementation. The goal is to determine how long the tug is idle, traveling without a tanker, or engaged in berthing or deberthing activities.
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1. The document discusses discrete-event simulation and the activity approach. The activity approach uses a fixed time increment and rules to determine when activities can begin at each point in simulated time.
2. Under the activity approach, activities are defined that are started when certain conditions are satisfied. The programmer scans a list of activities at each time increment to see which activities are now eligible to begin.
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features were delivered. All would be well. All was not well. The users didn’t tell us once and
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This document appears to be related to a student named Shriraam Madanagopal and their Metal Removal Processes 110 course from March 14, 2011. It likely contains information about metal removal processes and was created by Shriraam Madanagopal as part of an assignment or project for their Metal Removal Processes 110 class. The document date of March 14, 2011 suggests it was created in early 2011 for this particular course.
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Shriraam Madanagopal submitted CNC coordinates for part 140 on September 21, 2010. The submission included the 3D model design files and toolpath instructions for manufacturing the part using computer numerical control machining. All dimensions and tolerances were verified against the original engineering drawings to ensure the CNC program would accurately produce the designed part geometry within specifications.
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Week 4 Assignment - Software Development PlanScenario-Your team has be.docx
Week 4 Assignment - Software Development Plan
Scenario:
Your team has been tasked with delivering a Section 508-validated application for U.S. Department of Homeland Security field officers to check potential immigrants for connections to criminal or terrorist behavior. This application must meet these requirements:
· Conform with Section-508 accessibility guidelines.
· Allow wireless real-time bidirectional data transfer and database queries with secure servers.
· Have a secure login and, after two minutes of non-use, have autolocking that reactivates a secure login.
· Allow for officers working on any day and at any time in offices, from vehicles, and on foot along the U.S. border and in cities across the country.
Overview
In Week 2, you defined how you will determine user applicability and needs. This week, you will map out a plan for your project.
Instructions:
Create a 2–3-page software development plan for the application you are developing. Include the following:
· List 8–10 steps the project will follow from proposal to post-implementation stages for proper design of the application. Be sure to account for all application constraints in the project planning steps.
· Explain the outcome, process, and resources involved in accomplishing each step. Incorporate at least 3 credible and relevant resources to support your statements.
· Create a Gantt chart that includes each step in the process, the resources involved, and the estimated duration of time it will take to complete each step. It is recommended that you use Microsoft Excel to create your chart. You may copy and paste it into your software development plan document or submit a separate file.
· Remember, your audience is your company’s IT executive. Your writing should be professional and free of grammar, punctuation, and spelling errors.
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0018-9162/99/$10.00 © 1999 IEEE70 Computer
I n the beginning was the waterfall (Figure 1a). We would get the users to tell us once and for all exactly what they wanted. We would design the system that would deliver those features. We would code it. We would test to make sure the
features were delivered. All would be well. All was not well. The users didn’t tell us once and
for all exactly what they wanted. They didn’t know. They contradicted themselves. They changed their minds. And the users weren’t the only problem. We programmers could think we were making great progress only to discover three-fourths of the way through that we were one-third of the way through.
If long development cycles were bad because they couldn’t adapt to changes, perhaps what we needed was to make shorter.
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@SIMUL8 Virtual User Group, September: Brian Harrington, Less is More
@SIMUL8 Virtual User Group
We know not everyone can take time out to attend conferences and user meetings, so we're making it easy for you to get involved with our series of virtual user groups.
Learning Zone:
Brian Harrington will call on his experience as a Six Sigma Black Belt Black Belt to share his thoughts on "A Six Sigma approach to building successful simulations.
Final Year Project Report Example
Suitable for Final Year Student to make Report
- Including each chapter that need to have in the report
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This document provides guidance and best practices for automation projects. It discusses the importance of properly defining objectives and scope before beginning a project. It provides tips for various stages of project development including planning cutovers, training personnel, and selecting system integrators. The document also offers advice for project managers, such as establishing testing plans early and following common programming standards. Overall, the guidance emphasizes thorough planning, clear communication, and testing to help ensure project success.
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The problem of accurately predicting handling time for software defects is of great practical
importance. However, it is difficult to suggest a practical generic algorithm for such estimates,
due in part to the limited information available when opening a defect and the lack of a uniform
standard for defect structure. We suggest an algorithm to address these challenges that is
implementable over different defect management tools. Our algorithm uses machine learning
regression techniques to predict the handling time of defects based on past behaviour of similar
defects. The algorithm relies only on a minimal set of assumptions about the structure of the
input data. We show how an implementation of this algorithm predicts defect handling time with
promising accuracy results
Glenn Vanderburg — Real software engineering
The document discusses software engineering and argues that an implementation plan focused only on analysis and coding steps is "doomed to failure" for developing large software systems. It presents a model with additional steps like requirements analysis, program design, testing, and operations. However, it notes that separating these steps risks major redesigns if issues are found between steps.
The document proposes an iterative model where each step involves feedback and iteration with preceding and succeeding steps. This allows issues to be addressed within manageable scope rather than requiring large redesigns. It argues five additional features must be added to fully eliminate development risks, and notes the importance of establishing requirements and having a "firm and close-coupled moving baseline" to fall back
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This document provides an overview of modeling and simulation. It defines modeling as representing a system to enable predicting the effects of changes. Simulation involves running experiments on a model. The key steps in modeling and simulation projects are: 1) identifying the problem, 2) formulating and developing the model, 3) validating the model, 4) designing simulation experiments, 5) performing simulations, and 6) analyzing and presenting results. Modeling and simulation can be used for a variety of purposes including education, design evaluation, forecasting, and risk assessment.
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Today, the importance of information and accessing information is increasing rapidly. With the advancement of technology, one of the greatest means of achieving knowledge are, computers have entered in many areas of our lives. But the most important of them are the communication fields. This study will be a practical guide for understanding how to assemble and analyze various parameters in network performance evaluation and when designing a network what is necessary to looking for to remove the consequences of degrading performance. Therefore, what can you do in a network performance evaluation using simulation tools such as Network Simulation or Packet tracer and how various parameters can be brought together successfully? CCNA, CCNP, HCNA and HCNP educational level has been used and important setting has been simulated one by one. At the result this is a good guide for a local or wide area network. Finally, the performance issues precautions described. Considering the necessary parameters, imaginary networks were designed and evaluated both in CISCO Packet Tracer and Huawei's eNSP simulation program. But it should not be left unsaid that the networks have been designed and evaluated in free virtual environments, not in a real laboratory. Therefore, it is impossible to make actual performance appraisal and output as there is no actual data available.
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The document discusses computer simulation as a tool for process improvement. It defines computer simulation as using a computer model to simulate a real system. The basic steps for computer simulation are: 1) define the problem, 2) map the process, 3) define inputs, 4) build the model, 5) validate the model, 6) perform simulations, 7) interpret results, and 8) recommend and document solutions. Reasons for using simulation include testing changes without risk or time constraints, understanding bottlenecks, and validating expected improvements. Simulation should not be used without proper training or understanding, or when simpler methods can achieve the goal.
Mc0084 software project management & quality
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This document discusses simulation modeling and its advantages and disadvantages. It describes the typical steps in a simulation study including problem definition, project planning, system definition, model formulation, input data collection and analysis, model translation, verification and validation, experimentation and analysis, and documentation. It provides examples of using simulation for circuit design. Simulation allows experimenting with designs efficiently before implementation and studying systems at different abstraction levels. However, simulations require significant computing resources and may introduce inaccuracies through simplifying assumptions. The document also discusses using simulations for teaching by allowing students to participate in simplified representations of real processes.
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Simulation Project 2
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