リーンキャンバスのすすめ
•
2 likes•199 views
This document provides an overview of common project management methodologies including Lean Canvas, PMBOK, Scrum, and Kanban. It discusses key aspects of each methodology such as Lean Canvas using a 1-page template to outline business assumptions, PMBOK focusing on processes, Scrum emphasizing iterative development with sprints, and Kanban focusing on limiting work-in-progress. The document also provides best practices for request for information, request for proposal processes and using tools like Excel for project management.
Report
Share
Report
Share
Download to read offline
Recommended
Company Software Project Management Recommendation Report
This document provides a recommendation report for improving project management and software development techniques at Clean Logix. It discusses current issues like scaling up, team integration, and changing requirements. It then describes different project management systems like waterfall, agile management, scrum, and kanban. It recommends analyzing decision making using the Stacey matrix and implementing digital project metrics for improved tracking and reporting. Finally, it examines various project management software options.
Iss 05
This document discusses challenges faced in managing a software project using Agile Scrum methodology. Some key challenges included teams being in different locations with cultural and language differences, evolving requirements, bugs occurring later in testing. Solutions involved establishing common communication practices, progressive requirements gathering, separating feature and bug fixing teams, and allowing for requirements changes between sprints. Estimating work proved difficult initially but improved by discussing concepts before writing use cases. Overall, the project team learned through experience and adapted practices to improve management of the distributed Agile project.
Scrum Experience And Links Abdullah raza lakhan
The document provides an overview of the author's initial experiences with Scrum and agile methodologies in the late 1990s. It describes how the author applied Scrum-like techniques to a software project in 1997-1998 which led to the project's success. The author then discusses becoming a Certified Scrum Master in 2004 and looking to implement Scrum practices more fully.
Scrum guide presentation (Scrum Guide in easy to read PPT format)
This document provides a summary of the Scrum Guide in PowerPoint format. It was created by Aloke Bhattacharya based on the November 2017 version of the Scrum Guide. The presentation aims to make the key points of the Scrum Guide more memorable through additional diagrams, highlighting, and splitting long paragraphs. It includes all content from the Scrum Guide unchanged and in the same order, with page numbers provided for reference.
Suncorp & the Agile Approach - Why it's a Must Have for your Future
A presentation given at the University of Technology Sydney (UTS) in April 2011 to graduate students on Suncorp and why an agile culture is important for any prospective place of work.
Serverless patterns v2 public
V2 of Serverless Design Patterns for https://austin.serverlessconf.io/.
Feedback is welcome @yochayk
Are you remotely agile? - ATS2015
Providing an overview of Sonatype's distributed agile approach. This was a 1 hour presentation at South Florida Agile Asociation's Agile Transformation Summit 2015.
Technology Integration Pattern For Distributed Scrum of Scrum
This document discusses technology integration patterns for distributed scrum projects. It notes that past work has addressed integration issues for distributed components using scrum, but has ignored the technology factor - components may use different technologies that affect functionality. The document proposes a new pattern to control technology integration for distributed components in scrum projects. It found this pattern increases project survival chances by 80% by reducing risks and improving maintainability and scalability. Previous patterns for distributed scrum of scrum are also discussed.
Recommended
Company Software Project Management Recommendation Report
This document provides a recommendation report for improving project management and software development techniques at Clean Logix. It discusses current issues like scaling up, team integration, and changing requirements. It then describes different project management systems like waterfall, agile management, scrum, and kanban. It recommends analyzing decision making using the Stacey matrix and implementing digital project metrics for improved tracking and reporting. Finally, it examines various project management software options.
Iss 05
This document discusses challenges faced in managing a software project using Agile Scrum methodology. Some key challenges included teams being in different locations with cultural and language differences, evolving requirements, bugs occurring later in testing. Solutions involved establishing common communication practices, progressive requirements gathering, separating feature and bug fixing teams, and allowing for requirements changes between sprints. Estimating work proved difficult initially but improved by discussing concepts before writing use cases. Overall, the project team learned through experience and adapted practices to improve management of the distributed Agile project.
Scrum Experience And Links Abdullah raza lakhan
The document provides an overview of the author's initial experiences with Scrum and agile methodologies in the late 1990s. It describes how the author applied Scrum-like techniques to a software project in 1997-1998 which led to the project's success. The author then discusses becoming a Certified Scrum Master in 2004 and looking to implement Scrum practices more fully.
Scrum guide presentation (Scrum Guide in easy to read PPT format)
This document provides a summary of the Scrum Guide in PowerPoint format. It was created by Aloke Bhattacharya based on the November 2017 version of the Scrum Guide. The presentation aims to make the key points of the Scrum Guide more memorable through additional diagrams, highlighting, and splitting long paragraphs. It includes all content from the Scrum Guide unchanged and in the same order, with page numbers provided for reference.
Suncorp & the Agile Approach - Why it's a Must Have for your Future
A presentation given at the University of Technology Sydney (UTS) in April 2011 to graduate students on Suncorp and why an agile culture is important for any prospective place of work.
Serverless patterns v2 public
V2 of Serverless Design Patterns for https://austin.serverlessconf.io/.
Feedback is welcome @yochayk
Are you remotely agile? - ATS2015
Providing an overview of Sonatype's distributed agile approach. This was a 1 hour presentation at South Florida Agile Asociation's Agile Transformation Summit 2015.
Technology Integration Pattern For Distributed Scrum of Scrum
This document discusses technology integration patterns for distributed scrum projects. It notes that past work has addressed integration issues for distributed components using scrum, but has ignored the technology factor - components may use different technologies that affect functionality. The document proposes a new pattern to control technology integration for distributed components in scrum projects. It found this pattern increases project survival chances by 80% by reducing risks and improving maintainability and scalability. Previous patterns for distributed scrum of scrum are also discussed.
How to dive into GCP
The document provides an overview of resources for learning Google Cloud Platform (GCP), including YouTube channels, codelabs, documentation, online courses, GitHub repositories, and community forums. It lists specific YouTube channels, courses on Udacity and Coursera, documentation resources like Quickstart guides, and GCP user group communities for both online and offline support. The goal is to help people dive into and learn about GCP using a variety of free training and support materials.
Swift for tensorflow
This document summarizes a presentation on Swift for TensorFlow. It discusses the history of Swift for TensorFlow, including Chris Lattner's proposal for dynamically callable types, the initial tensorflow/swift project, and the project moving to Apple's Swift repository. It also provides an overview of using TensorFlow on iOS, including TensorFlow Mobile, TensorFlow Light, tfcoreml, TensorFlow.js, and MLKit. Examples are given for importing TensorFlow in Swift and converting models to different formats.
Introduction to flutter
Flutter is a mobile UI framework for building cross-platform apps. It allows creating apps for both Android and iOS using a single codebase. The framework uses widgets to build user interfaces - everything in a Flutter app is a widget. To get started, developers install Flutter, then use the flutter create command to generate a new app project. They can then build the app UI using various widget types like Text, Container, Column and more.
Nagoya.cloud.first クラウドもくもく会のお知らせ
2018-03-03に開催する次のイベントの告知です
[Nagoya.cloud.first #1 - connpass](https://nagoyacloud.connpass.com/event/78769/)
ARToolKit to ARKit
The document compares ARToolKit and ARKit. ARToolKit was developed between 1999-2010 for Windows PCs using C/C++/Java and relied on computer graphics techniques. ARKit was developed by Apple in 2017 for iOS devices using Swift/Objective-C and takes advantage of the motion sensors and cameras on iOS devices to enable augmented reality without needing external trackers. The document then provides an example of how to integrate 3D models into an AR scene using ARKit APIs.
僕が小規模なコミュニティを運営し続けるときに考えたこと
NGK2017B 昼の部 (https://ngk2017b.connpass.com/event/66051/ ) での発表資料です。
Nagoya.Swift+ (https://nagoyaswiftplus.connpass.com/ ) の活動について発表しました。
Cognitive bot & Linguistic bot
Mobile Act Nagoya #5 で発表した内容です。
Microsoft Cognitive Servicesを利用したBotと、Repl-AIを利用したBotの例あり。
なお、Cognitive botもLinguistic botも今回限りの造語で、後者は普通"chatbot"と呼ぶ模様。
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
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.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
More Related Content
More from 龍一郎 北野
How to dive into GCP
The document provides an overview of resources for learning Google Cloud Platform (GCP), including YouTube channels, codelabs, documentation, online courses, GitHub repositories, and community forums. It lists specific YouTube channels, courses on Udacity and Coursera, documentation resources like Quickstart guides, and GCP user group communities for both online and offline support. The goal is to help people dive into and learn about GCP using a variety of free training and support materials.
Swift for tensorflow
This document summarizes a presentation on Swift for TensorFlow. It discusses the history of Swift for TensorFlow, including Chris Lattner's proposal for dynamically callable types, the initial tensorflow/swift project, and the project moving to Apple's Swift repository. It also provides an overview of using TensorFlow on iOS, including TensorFlow Mobile, TensorFlow Light, tfcoreml, TensorFlow.js, and MLKit. Examples are given for importing TensorFlow in Swift and converting models to different formats.
Introduction to flutter
Flutter is a mobile UI framework for building cross-platform apps. It allows creating apps for both Android and iOS using a single codebase. The framework uses widgets to build user interfaces - everything in a Flutter app is a widget. To get started, developers install Flutter, then use the flutter create command to generate a new app project. They can then build the app UI using various widget types like Text, Container, Column and more.
Nagoya.cloud.first クラウドもくもく会のお知らせ
2018-03-03に開催する次のイベントの告知です
[Nagoya.cloud.first #1 - connpass](https://nagoyacloud.connpass.com/event/78769/)
ARToolKit to ARKit
The document compares ARToolKit and ARKit. ARToolKit was developed between 1999-2010 for Windows PCs using C/C++/Java and relied on computer graphics techniques. ARKit was developed by Apple in 2017 for iOS devices using Swift/Objective-C and takes advantage of the motion sensors and cameras on iOS devices to enable augmented reality without needing external trackers. The document then provides an example of how to integrate 3D models into an AR scene using ARKit APIs.
僕が小規模なコミュニティを運営し続けるときに考えたこと
NGK2017B 昼の部 (https://ngk2017b.connpass.com/event/66051/ ) での発表資料です。
Nagoya.Swift+ (https://nagoyaswiftplus.connpass.com/ ) の活動について発表しました。
Cognitive bot & Linguistic bot
Mobile Act Nagoya #5 で発表した内容です。
Microsoft Cognitive Servicesを利用したBotと、Repl-AIを利用したBotの例あり。
なお、Cognitive botもLinguistic botも今回限りの造語で、後者は普通"chatbot"と呼ぶ模様。
More from 龍一郎 北野 (12)
Recently uploaded
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
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.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Recently uploaded (20)
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Generative AI Use cases applications solutions and implementation.pdf
Generative AI Use cases applications solutions and implementation.pdf
リーンキャンバスのすすめ
- 3. 0. Lean Canvas is a 1-page business plan template created by Ash Maurya that helps you deconstruct your idea into its key assumptions. — 1-Page Business Plan | LEANSTACK ( )
- 6. • • • • •
- 8. 2. • • •
- 10. ( )
- 11. " " • • • , RFI, , RFI , (NDA ), RFP, , RFP , , , •
- 16. from :01 .jpg - Wikipedia CC BY-SA 4.0
- 17. Image by Angelo Giordano from Pixabay
- 18. PMBOK 1. 2. 3.
- 19. 2 ( ) 2 PMBOK / PMstyle
- 20. 3 ( ) 3 PMBOK / PMstyle
- 21. 4 PM ( ) 4 PMBOK / PMstyle
- 22. • • ( ) • Excel ( ) by Anemone123 | Pixabay
- 23. Scrum • 1 • • • 5 5 The Scrum Guide
- 24. Scrum • 1. 2. 3. • 6 6 Scrum Primer - Scrum Anime Overview CC BY-ND 3.0
- 26. • • 10 • •
- 27. 1. 2. 30 3.
- 28. 4. 5. 6.
- 29. 7. 8. 9. 10.
- 31. 1. 2. 3. 4. 2. 1. 3. 5. 4. ( ) 5. 2.
- 32. 6. 7. 7. 9. 8. 2 / 9. 8. 10. 10. 11. 12.
- 34. • • • A3 • 7 22 • 7 7 - ITmedia
- 35. • 1 • 2 • 3 • 4 • 5 (※ ) • 6 • 7
- 39. Recap • • RFI, RFI , RFP, , etc.
- 40. • : from 1-Page Business Plan | LEANSTACK by CC BY-SA 3.0 • Rizap :