software engineering.pptx
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Software engineering is the branch of computer science that deals with the design, development, testing, and maintenance of software applications. Software engineers apply engineering principles and knowledge of programming languages to build software solutions for end users
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software engineering
This document provides an overview and introduction to the book "Software Engineering: A Hands-On Approach" by Roger Y. Lee. The book aims to teach key principles of software engineering through hands-on learning and a project-based approach. It uses common tools like the Unified Modeling Language and object-oriented design patterns. The book is divided into two parts - the first introduces software engineering concepts, and the second guides readers through a software project from requirements to implementation and testing. The goal is to help students bridge the gap between academic learning and real-world practice of software engineering.
Discussion postsDiscussion post1Discussing three tradi.docx
Discussion posts:
Discussion post1:
Discussing three traditional software processing models
In an organization, the developers certainly have the role to play for creating a successful system, and for that reason, they are seen to be utilizing some of the important processing models that deal with the traditional software (Dasoriya, 2017). The development of these models always helps the developers to do their work in a proper way as the contribution of these models directly connects to provide support in building the system successfully. Further discussion would be done on the three models that are usually utilized by the developers. There are not only three models that have been utilized by the developers but from my point, they are the important ones along with their benefits and some of their drawbacks.
Waterfall model
A sequential model through which development of the software could be divided into phases that are pre-defined. The phases are seen to be designed for providing performance on some particular activities with the phase of SDLC starts its work (Kaushik, Bharadwaj, Awasthi & Sharma, 2017). It is seen that before starting the next phase, the other phases would be completed so that there is no overlap between any of the phases. Different phases have a different function during the time of their utilization by the developers. The waterfall model could be utilized when the requirements are clear and the length of the project work is seen to be short.
Advantages
Each phase is certainly seen to be completed before starting the next one. The model is seen to be best when the project is small with well-defined requirements. It has the ability to perform a quality assurance test before proceeding to the next stage.
Disadvantages
One of the main drawbacks of this model is that only the errors could be reduced during the time of doing work within the phase. The period of testing is seen to be coming late during the time of the developing process. Developers waste their maximum time on doing the documentation.
Iterative model
This model is certainly found to be focusing on implementing the simple and initial phase but finds it difficult and complex when setting the broader feature when it gets completed. It is also a part of SDLC and the concept could be interchanged with the incremental model technique at some point of time (Arora & Arora, 2016). It is actually seen to be describing the alterations which relate to the incremental procedure that happens during the implementation and design of the latest iteration process. The utilization of this model is seen to be done during the time of analysis and doing some planning in the system.
Advantages
The model is seen to be productive and best for the agile organizations and the version is found to be inherent. Planning of parallel development is certainly found to be possible with the help of this model technique. It is found to be cost-effective during the time of changing the requiremen ...
reaserch ppt.pptx
This document provides an overview of software development life cycle (SDLC) models and their comparison. It discusses several SDLC models including waterfall, V-shaped, iterative, prototyping, RAD, spiral and agile. Each model is described in terms of its phases, advantages and disadvantages. The document also presents related work from other scholars and states that while agile was not fully extreme programming, using Scrum principles resulted in return on investment and lower costs. It proposes future work to identify knowledge sharing procedures and user-centered SDLC models that overcome limitations of existing approaches.
Software engineering note
It is covering all the details about the software engineering principles ,Which is strictly according to BPUT syllabus
software engineering notes for cse/it fifth semester
The document provides an overview of software engineering principles and practices. It discusses:
1) The scope and necessity of software engineering to systematically develop large, complex software products. Without principles, developing large programs would be difficult and error-prone.
2) The "software crisis" caused by ineffective development leading to cost overruns and inefficient resource usage. Proper use of principles can help solve this.
3) The difference between a program developed by an individual and a commercial software product developed by a team for multiple users, requiring careful design, documentation and adherence to principles.
4) How early exploratory development styles focused on error correction after coding, while modern styles emphasize error prevention through defined stages like
How Low Code Platforms Can Empower Students To Build Apps.pdf
In today’s digital age, app development has become an essential skill set,
opening up opportunities for creativity, problem-solving, and innovation.
However, traditional app development often requires extensive coding
knowledge, which can be intimidating and time-consuming for students who
are just starting their journey into programming. This is where Low-code
platforms come into play, revolutionizing student learning and app building.
Low-code platforms provide a visual development environment that
simplifies app development by reducing the need for manual coding. These
platforms offer intuitive drag-and-drop interfaces, pre-built components, and
ready-to-use templates, enabling students to create functional applications
without deep programming expertise. Accessibility and ease of use make
these advanced and robust platforms an empowering tool for students
regardless of their coding background.
Low-Code Platform Empowering Students
In several ways, the tool enables students to unleash their creativity. Utilizing
the technology, they can easily turn their ideas into tangible applications.
Here are some key benefits:
Accessibility:
It breaks down entry barriers by eliminating extensive coding knowledge.
Students with limited programming knowledge can dive into app
development without stress.
Rapid Prototyping:
Low code tools allow students to quickly create prototypes and minimum
viable products (MVPs) for their app ideas. This iterative development process
fosters experimentation and encourages students to refine their concepts
based on user feedback.
Visual Development:
With intuitive drag-and-drop interfaces, students can visually design
beautiful app interfaces and arrange components without writing complex
code. This visual approach makes the development process more engaging
and understandable, especially for visual learners.
Problem-Solving and Logical Thinking:
Developing an application without having to code encourages students to
think critically and solve problems by breaking them down into smaller
components. They can focus on the app’s functionality and user experience,
honing their logical thinking skills.
Collaboration and Teamwork:
The platform facilitates collaborative app development. Students can work
together on projects, sharing components, ideas, and knowledge, fostering
teamwork and enhancing communication skills.
Conclusion:
Low-code platforms have emerged as powerful tools for students to build
apps. By providing an accessible and user-friendly development
environment, these platforms enable students to bring their app ideas to life
without getting bogged down by complex coding requirements.
Whether they are learning programming concepts for the first time or
expanding their existing skills, low-code platforms offer a practical and
engaging way for students to develop their creativity, problem-solving
abilities, and collaboration skills. In app development, low-code platforms
have truly
Design pattern application
It's my report based on design pattern whosever want to learn how to create application using java with design patterns with less complexity they can see that
Develop skills in functional and non functional testing
Developers provide software assurance through activities like researching, designing, implementing, and testing programs. There are two main types of development - applications development focused on meeting user needs through programs, and systems development focused on operating systems. Developers ensure quality and lifecycle assurance through functional and non-functional testing of products and services.
Recommended
software engineering
This document provides an overview and introduction to the book "Software Engineering: A Hands-On Approach" by Roger Y. Lee. The book aims to teach key principles of software engineering through hands-on learning and a project-based approach. It uses common tools like the Unified Modeling Language and object-oriented design patterns. The book is divided into two parts - the first introduces software engineering concepts, and the second guides readers through a software project from requirements to implementation and testing. The goal is to help students bridge the gap between academic learning and real-world practice of software engineering.
Discussion postsDiscussion post1Discussing three tradi.docx
Discussion posts:
Discussion post1:
Discussing three traditional software processing models
In an organization, the developers certainly have the role to play for creating a successful system, and for that reason, they are seen to be utilizing some of the important processing models that deal with the traditional software (Dasoriya, 2017). The development of these models always helps the developers to do their work in a proper way as the contribution of these models directly connects to provide support in building the system successfully. Further discussion would be done on the three models that are usually utilized by the developers. There are not only three models that have been utilized by the developers but from my point, they are the important ones along with their benefits and some of their drawbacks.
Waterfall model
A sequential model through which development of the software could be divided into phases that are pre-defined. The phases are seen to be designed for providing performance on some particular activities with the phase of SDLC starts its work (Kaushik, Bharadwaj, Awasthi & Sharma, 2017). It is seen that before starting the next phase, the other phases would be completed so that there is no overlap between any of the phases. Different phases have a different function during the time of their utilization by the developers. The waterfall model could be utilized when the requirements are clear and the length of the project work is seen to be short.
Advantages
Each phase is certainly seen to be completed before starting the next one. The model is seen to be best when the project is small with well-defined requirements. It has the ability to perform a quality assurance test before proceeding to the next stage.
Disadvantages
One of the main drawbacks of this model is that only the errors could be reduced during the time of doing work within the phase. The period of testing is seen to be coming late during the time of the developing process. Developers waste their maximum time on doing the documentation.
Iterative model
This model is certainly found to be focusing on implementing the simple and initial phase but finds it difficult and complex when setting the broader feature when it gets completed. It is also a part of SDLC and the concept could be interchanged with the incremental model technique at some point of time (Arora & Arora, 2016). It is actually seen to be describing the alterations which relate to the incremental procedure that happens during the implementation and design of the latest iteration process. The utilization of this model is seen to be done during the time of analysis and doing some planning in the system.
Advantages
The model is seen to be productive and best for the agile organizations and the version is found to be inherent. Planning of parallel development is certainly found to be possible with the help of this model technique. It is found to be cost-effective during the time of changing the requiremen ...
reaserch ppt.pptx
This document provides an overview of software development life cycle (SDLC) models and their comparison. It discusses several SDLC models including waterfall, V-shaped, iterative, prototyping, RAD, spiral and agile. Each model is described in terms of its phases, advantages and disadvantages. The document also presents related work from other scholars and states that while agile was not fully extreme programming, using Scrum principles resulted in return on investment and lower costs. It proposes future work to identify knowledge sharing procedures and user-centered SDLC models that overcome limitations of existing approaches.
Software engineering note
It is covering all the details about the software engineering principles ,Which is strictly according to BPUT syllabus
software engineering notes for cse/it fifth semester
The document provides an overview of software engineering principles and practices. It discusses:
1) The scope and necessity of software engineering to systematically develop large, complex software products. Without principles, developing large programs would be difficult and error-prone.
2) The "software crisis" caused by ineffective development leading to cost overruns and inefficient resource usage. Proper use of principles can help solve this.
3) The difference between a program developed by an individual and a commercial software product developed by a team for multiple users, requiring careful design, documentation and adherence to principles.
4) How early exploratory development styles focused on error correction after coding, while modern styles emphasize error prevention through defined stages like
How Low Code Platforms Can Empower Students To Build Apps.pdf
In today’s digital age, app development has become an essential skill set,
opening up opportunities for creativity, problem-solving, and innovation.
However, traditional app development often requires extensive coding
knowledge, which can be intimidating and time-consuming for students who
are just starting their journey into programming. This is where Low-code
platforms come into play, revolutionizing student learning and app building.
Low-code platforms provide a visual development environment that
simplifies app development by reducing the need for manual coding. These
platforms offer intuitive drag-and-drop interfaces, pre-built components, and
ready-to-use templates, enabling students to create functional applications
without deep programming expertise. Accessibility and ease of use make
these advanced and robust platforms an empowering tool for students
regardless of their coding background.
Low-Code Platform Empowering Students
In several ways, the tool enables students to unleash their creativity. Utilizing
the technology, they can easily turn their ideas into tangible applications.
Here are some key benefits:
Accessibility:
It breaks down entry barriers by eliminating extensive coding knowledge.
Students with limited programming knowledge can dive into app
development without stress.
Rapid Prototyping:
Low code tools allow students to quickly create prototypes and minimum
viable products (MVPs) for their app ideas. This iterative development process
fosters experimentation and encourages students to refine their concepts
based on user feedback.
Visual Development:
With intuitive drag-and-drop interfaces, students can visually design
beautiful app interfaces and arrange components without writing complex
code. This visual approach makes the development process more engaging
and understandable, especially for visual learners.
Problem-Solving and Logical Thinking:
Developing an application without having to code encourages students to
think critically and solve problems by breaking them down into smaller
components. They can focus on the app’s functionality and user experience,
honing their logical thinking skills.
Collaboration and Teamwork:
The platform facilitates collaborative app development. Students can work
together on projects, sharing components, ideas, and knowledge, fostering
teamwork and enhancing communication skills.
Conclusion:
Low-code platforms have emerged as powerful tools for students to build
apps. By providing an accessible and user-friendly development
environment, these platforms enable students to bring their app ideas to life
without getting bogged down by complex coding requirements.
Whether they are learning programming concepts for the first time or
expanding their existing skills, low-code platforms offer a practical and
engaging way for students to develop their creativity, problem-solving
abilities, and collaboration skills. In app development, low-code platforms
have truly
Design pattern application
It's my report based on design pattern whosever want to learn how to create application using java with design patterns with less complexity they can see that
Develop skills in functional and non functional testing
Developers provide software assurance through activities like researching, designing, implementing, and testing programs. There are two main types of development - applications development focused on meeting user needs through programs, and systems development focused on operating systems. Developers ensure quality and lifecycle assurance through functional and non-functional testing of products and services.
Top 10 custom software development methodologies
Custom software development requires planning goals, objectives, budget and timeline. The document discusses several popular software development methodologies: Big Bang (simple but risky), Prototype (reduces failures with client feedback), Waterfall (sequential but inflexible), Agile (flexible and reduces risks), Rapid Action (combines prototypes and agile for speed), Dynamic Systems Development Model (user-involvement and agile iterations), Scrum (divides work into modules for rapid changes), Joint Application Development (continuous stakeholder workshops), Spiral Model (moves from small to large portions eliminating risks), and Feature Driven Development (feature-based iterations for productivity). The key is selecting a methodology based on the nature and needs of the
Assignment
The document discusses and compares several software development life cycle (SDLC) models:
1) The waterfall model is a linear sequential flow where progress flows steadily through phases without backtracking. It is best for projects with clearly defined requirements.
2) The V-shaped model extends the waterfall model with early testing. It works well when requirements are easily understood.
3) The spiral model combines prototyping and risk assessment in cycles. It is favored for large, expensive projects built in phases.
4) The iterative model develops a system through repeated cycles and smaller portions, allowing learning from earlier versions. It produces value early and accommodates some changes.
5) The concurrent model develops tasks and states concurrently through framework
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Form5 cd2
The document discusses the five main phases of program development:
1) Problem analysis phase where the programmer identifies the client's needs.
2) Program design phase where the programmer designs a flowchart representing the client's needs.
3) Coding phase where the programmer performs coding.
4) Testing and debugging phase where the program is tested by users and errors are debugged.
5) Documentation phase where the programmer completes documentation including a user manual and program listing.
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This document provides an overview and comparison of five software engineering models: waterfall, iteration, V-shaped, spiral, and extreme programming. It first defines what a software process model is and discusses some general models. It then focuses on describing the key aspects of each of the five models in more detail, including the waterfall model which consists of sequential phases from requirements to maintenance. The document highlights advantages and disadvantages of each model.
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This document compares five models of software engineering: waterfall, iterative, V-shaped, spiral, and extreme programming. It provides descriptions and comparisons of each model. The waterfall model is described as one of the oldest and most widely used models, with distinct phases from requirements to maintenance. However, it lacks flexibility. The iterative model allows for overlapping phases and faster results. The V-shaped model emphasizes testing and has deliverables at each phase but lacks flexibility. The spiral model focuses on risk analysis through iterations called spirals. It is useful for large projects but costly. Extreme programming emphasizes teamwork, customer involvement, and frequent small releases but may not work for all projects. In summary, the document examines the features, advantages, and
se.pdf
The document defines software engineering and describes several common software development models:
1) Software engineering is a systematic approach to software development and maintenance using scientific principles and methods. It involves processes like communication, planning, modeling, construction, and deployment.
2) The waterfall model involves sequential phases from requirements to maintenance without iteration. It is suitable for small, stable projects but risks are not discovered until late.
3) The incremental model is iterative, with customer feedback between increments to refine requirements. It allows faster delivery but costs may exceed initial estimates.
4) The spiral model is risk-driven and iterative. It prioritizes risk analysis and alternatives to reduce risk for large, critical projects.
e-Physical
This document describes the development of an e-learning application called E-Physical using the ADDIE model of instructional design. The ADDIE model includes five phases: analysis, design, development, implementation, and evaluation. In the analysis phase, research was conducted to understand how to improve physical education learning for students. The design phase involved developing the application functionality and user interface. In the development phase, the application was coded in modules. During implementation, the application was built, integrated, and tested. Finally, the evaluation phase involved testing the application and receiving feedback to improve it.
Nota program development
The document discusses the five main phases of program development:
1) Problem analysis phase where the programmer identifies client needs and program requirements.
2) Program design phase where the programmer designs flowcharts and interfaces.
3) Coding phase where the programmer writes the code.
4) Testing and debugging phase where the program is tested for errors.
5) Documentation phase where all documentation for the program is completed.
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This document provides an introduction to Unit 1 of the Open University course M256 Software Development with Java. It discusses:
1. The importance of software development as a process that involves planning models through diagrams and text, rather than just writing code.
2. An example school administration system to demonstrate that complex software requires careful planning before implementation.
3. The aims of the course which are to teach software development skills and concepts for individuals and teams to create complex object-oriented software.
4. Key terminology used in the course including Java applications, applications, software systems, and integrated development environments.
5. An overview of studying the unit which involves exercises, self-assessment questions, and exploring an
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The discipline of software engineering is extremely dynamic and constantly changing, necessitating the development of fresh methods and concepts. As a result, there is a growing demand for creative solutions that may assist in addressing the shifting requirements of the sector. Graduate students interested in pursuing a thesis in software engineering at Oxford will have the chance to make a difference in the industry by doing original research and creating cutting-edge solutions. The following list includes some possible software engineering thesis topics at Oxford.
software project management Waterfall model
The waterfall model is a sequential model for software development where progress flows in one direction like a waterfall from conception to maintenance. It involves 8 phases: definition, design, implementation, testing, integration, deployment, maintenance and support. While it provides structure and is good for stable requirements, it is difficult to change requirements or go back to previous phases and does not allow for much iteration. The waterfall model works best for projects with clearly defined requirements and stable scope, but may not be suitable if requirements are likely to change.
Difference Between Agile And Waterfall Model
The document discusses different software development methodologies used by programming teams, including the system development life cycle (SDLC), agile methodology, and extreme programming. SDLC is used for large projects with many developers, following a structured process from requirements to maintenance. Agile methodology is designed for smaller projects and favors rapid, iterative development. Extreme programming emphasizes close communication between developers and customers to adapt quickly to changing needs. While different, agile methodologies provide advantages for developing software faster and adapting more easily to customer requirements compared to SDLC and extreme programming.
Adv & disadv of oo ps
Object-oriented programming (OOP) uses interacting objects to model and solve complex problems. Some advantages of OOP include improved productivity through modularity, extensibility and reusability, improved maintainability, faster development through reuse, and lower costs and higher quality through increased verification time. Some disadvantages include a steep learning curve for complex interactions, larger program sizes, and slower programs requiring more instructions. OOP may also not be suitable for all problem types.
Software Life Cycle Modelsrerfgrgreg.pptx
This document provides an overview of various software development life cycle (SDLC) models including waterfall, V-shape, prototyping, spiral, iterative, and incremental models. It describes the key stages and characteristics of each model as well as discussing their advantages and disadvantages. The document is intended to teach students about software engineering processes and which models are suited to different types of projects.
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Software Development methodologies play a crucial top app development component in growing software development programs. Custom software development company use many source bitz methodologies for his or her everyday app development operations. There are many software company near benefits and app development company near me drawbacks related to each of them.
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Custom software development requires planning goals, objectives, budget and timeline. The document discusses several popular software development methodologies: Big Bang (simple but risky), Prototype (reduces failures with client feedback), Waterfall (sequential but inflexible), Agile (flexible and reduces risks), Rapid Action (combines prototypes and agile for speed), Dynamic Systems Development Model (user-involvement and agile iterations), Scrum (divides work into modules for rapid changes), Joint Application Development (continuous stakeholder workshops), Spiral Model (moves from small to large portions eliminating risks), and Feature Driven Development (feature-based iterations for productivity). The key is selecting a methodology based on the nature and needs of the
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The document discusses and compares several software development life cycle (SDLC) models:
1) The waterfall model is a linear sequential flow where progress flows steadily through phases without backtracking. It is best for projects with clearly defined requirements.
2) The V-shaped model extends the waterfall model with early testing. It works well when requirements are easily understood.
3) The spiral model combines prototyping and risk assessment in cycles. It is favored for large, expensive projects built in phases.
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1) Problem analysis phase where the programmer identifies the client's needs.
2) Program design phase where the programmer designs a flowchart representing the client's needs.
3) Coding phase where the programmer performs coding.
4) Testing and debugging phase where the program is tested by users and errors are debugged.
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se.pdf
The document defines software engineering and describes several common software development models:
1) Software engineering is a systematic approach to software development and maintenance using scientific principles and methods. It involves processes like communication, planning, modeling, construction, and deployment.
2) The waterfall model involves sequential phases from requirements to maintenance without iteration. It is suitable for small, stable projects but risks are not discovered until late.
3) The incremental model is iterative, with customer feedback between increments to refine requirements. It allows faster delivery but costs may exceed initial estimates.
4) The spiral model is risk-driven and iterative. It prioritizes risk analysis and alternatives to reduce risk for large, critical projects.
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The document discusses the five main phases of program development:
1) Problem analysis phase where the programmer identifies client needs and program requirements.
2) Program design phase where the programmer designs flowcharts and interfaces.
3) Coding phase where the programmer writes the code.
4) Testing and debugging phase where the program is tested for errors.
5) Documentation phase where all documentation for the program is completed.
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This document provides an introduction to Unit 1 of the Open University course M256 Software Development with Java. It discusses:
1. The importance of software development as a process that involves planning models through diagrams and text, rather than just writing code.
2. An example school administration system to demonstrate that complex software requires careful planning before implementation.
3. The aims of the course which are to teach software development skills and concepts for individuals and teams to create complex object-oriented software.
4. Key terminology used in the course including Java applications, applications, software systems, and integrated development environments.
5. An overview of studying the unit which involves exercises, self-assessment questions, and exploring an
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software project management Waterfall model
The waterfall model is a sequential model for software development where progress flows in one direction like a waterfall from conception to maintenance. It involves 8 phases: definition, design, implementation, testing, integration, deployment, maintenance and support. While it provides structure and is good for stable requirements, it is difficult to change requirements or go back to previous phases and does not allow for much iteration. The waterfall model works best for projects with clearly defined requirements and stable scope, but may not be suitable if requirements are likely to change.
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Conventional and Object Oriented Software Engineering
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States of a Process in Operating Systems
A process has several stages that it passes through from beginning to end. There must be a minimum of five states. Even though during execution, the process could be in one of these states, the names of the states are not standardized. Each process goes through several stages throughout its life cycle.
Firewalls and proxies are both use for security
Firewalls and proxies are both security solutions designed to prevent potential threats to an organization and its users. However, they are different solutions with different goals. Understanding these differences is useful to understanding why both firewall and proxy functionality is important for an organization’s cybersecurity program.
The International Space Station (ISS) is the largest space station to have ev...
The International Space Station is the largest space station to have ever been built. The station resides in low Earth orbit and has a primary purpose of performing microgravity and space environment experiments.
Name.pptx
Supervised learning is a paradigm in machine learning, using multiple pairs consisting of an input object and a desired output value to train a model. The training data is analyzed and an inferred function is generated, which can be used for mapping new examples.
AYAN DAS_57_SOFT COMPUTING.pptx
Soft computing is a set of algorithms, including neural networks, fuzzy logic, and evolutionary algorithms. These algorithms are tolerant of imprecision, uncertainty, partial truth and approximation. It is contrasted with hard computing: algorithms which find provably correct and optimal solutions to problems.
Computer Network.pptx
A computer network is a set of computers sharing resources located on or provided by network nodes. Computers use common communication protocols over
Numerical Methods.pptx
A numerical method is an approximate computer method for solving a mathematical problem which often has no analytical solution.
Gantt Chart.pptx
A Gantt chart is a project management tool that shows the duration of tasks on a visual project schedule to allow project managers to track progress.
Ayan Das_25300121057.pptx
This document discusses parsing and parse trees. It defines parsing as resolving a sentence into its component parts and describing their syntactic roles. A parse tree is the graphical representation of symbols (terminals and non-terminals) that results from parsing a string based on the grammar rules. The document provides examples of parse trees and discusses derivation trees, leftmost derivation trees, rightmost derivation trees, and ambiguity in grammars.
Ayan Das_25300121057.pptx
This document discusses inheritance in Java. It defines inheritance as a mechanism where a subclass inherits the properties and behaviors of its parent class. The key types of inheritance in Java are described as single inheritance, multilevel inheritance, hierarchical inheritance, multiple inheritance (which Java does not support with classes) and hybrid inheritance. Examples are provided to illustrate each type of inheritance.
Ayan Das_25300121057.pptx
This document discusses the history of artificial intelligence. It describes several important early milestones in AI development, including the first AI program called "Logic Theorist" created in 1955, and the coining of the term "artificial intelligence" in 1956. The document then outlines periods of growth and funding challenges (AI winters) for the field from the 1950s through the 1990s. It highlights several pioneering AI systems and the emergence of intelligent agents in the 1990s and 2000s.
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The International Space Station (ISS) is the largest space station to have ev...
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Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
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Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
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ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
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Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
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Embedded machine learning-based road conditions and driving behavior monitoring
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
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ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
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john krisinger-the science and history of the alcoholic beverage.pptx
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Generative AI leverages algorithms to create various forms of content
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2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
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software engineering.pptx
- 1. z Name : Ayan Das Subject : Software Engineering Paper Code : ESC-501 Department : Computer Science and Engineering University Roll No: 25300121057 Year : 3rd Year Supreme Knowledge Foundation Group of Institutions
- 2. z Exploratory program development style refers to an informal development style or builds and fix the style in which the programmer uses his own intuition to develop a program rather than making use of the systematic body of knowledge which is categorized under the software engineering discipline. This style of development gives complete freedom to programmers to choose activities which they like to develop software. This dirty program is quickly developed and bugs are fixed whenever it arises. Topic : Exploratory Programmming Style
- 4. z Usage This style of software development is only used for the development of small programs. Nowadays, this style is only used by students in their labs to complete their assignments only. This style is not really used in industries nowadays.
- 5. z The shortcoming of this model Using this model, there is the exponential growth of development time effort and cost with problem size and large-sized software becomes almost impossible using this style of development. This style of development results in unmaintainable code because programming without planning always results in unstructured and poor-quality code. Also, it is difficult to use this style when there is a proper developing team because in this style every developer uses his own intuition to develop software.
- 6. z