This paper is about the effect of accelerated climate change impacts on natural sandy coasts and what nature inspired measures can be taken in order to guarantee, maintain and enhance the required safety and resilience levels. And how implementation of natural features with proven extreme weather impact safety and resilience, can provide such adequate solutions. In comparison with for instance sand nourishment, which in most cases does not provide a sustainable solution at all. Differences will be explained with reasons and why other and more adequate methods have to be applied in order to be effective. For which suggestions are made.
This document discusses an innovative approach called "Resilient by Nature" for addressing climate change impacts through nature-based solutions. It analyzes systems that have proven natural resilience to extreme weather, such as barrier islands and mangroves, identifies features that provide resilience, and proposes applying these features in other vulnerable areas through holistic coastal systems rather than isolated projects. Examples of resilient features include Dauphin Island which experiences little damage from hurricanes due to its small landmass, and mangroves which reduce wave impacts. The document advocates learning from natural resilient systems and implementing solutions like resilient breakwaters, eco-polders, and artificial reefs to enhance safety and resilience against accelerating climate impacts.
Blog over de opkomst en teloorgang van de Nederlandse (kust)waterbouw, verdewenen kennis en ervaring, klimaatverandering, onwetendheid, de afwachtende houding van de verantwoordelijke overheid, achterhaald en grotendeels totaal niet onderbouwd kustbeleid, de daarmee onlosmakelijk verbonden risiso’s voor onder andere de waterveiligheid, doorspekt en aangevuld met suggesties hoe de onstane situatie vlot te trekken en de gaten te dichten.
1) The document presents a pheno-metric approach for assessing coastal dynamics using key parameters like dominant wave period, waterlevel variation, onshore topography, and sediment characteristics.
2) These four parameters are argued to capture the variation in coastal shapes around the world, and allow for forecasting future changes.
3) The approach models coastal behavior within boundaries of the seabed, water levels, relevant topography, and defines characteristics like shoreface slope and presence of sandbanks based on the key parameters.
1) Accelerated climate change is impacting coasts through multiple interacting factors like changing weather patterns, wave energy spectra, and sea level rise.
2) A potentially significant threat is the increase in long wave energy, which is difficult to measure and analyze due to limitations in coastal monitoring instruments.
3) To better manage these climate change impacts, coastal resilience strategies need to take a holistic, system-wide approach focusing on the balanced interaction between incoming conditions and natural coastal dynamics, rather than traditional approaches like raising sea defenses.
Discrepancy between knowing a coastal system and mathematical modelling 11112017Marco Pluijm
1) A groyne was built in the 1990s off the coast of Texel island in the Netherlands to slow coastal erosion. Extensive modeling was done but the actual effects were very different than predicted, with accretion occurring on the opposite side instead of reduced erosion.
2) The discrepancy showed that coastal sediment transport processes are still not fully understood and incorporated into models. Phenomenological approaches based on empirical data were sidelined in favor of mathematical modeling.
3) The author argues that a new proposed mega-nourishment project in the same area as the previous groyne poses risks, as coastal dynamics are too complex to be properly modeled given current limitations. A phenomenological approach based on field data is
Old school skills and the world of virtual reality 11042017Marco Pluijm
Computational models seem to have become an all overarching framework for coastal studies and impact assessments. regardless their validity. Which has become a serious issue when talking about changing boundary conditions. Old school empirical approaches seem to be much more adequate instead.
This document discusses an innovative approach called "Resilient by Nature" for addressing climate change impacts through nature-based solutions. It analyzes systems that have proven natural resilience to extreme weather, such as barrier islands and mangroves, identifies features that provide resilience, and proposes applying these features in other vulnerable areas through holistic coastal systems rather than isolated projects. Examples of resilient features include Dauphin Island which experiences little damage from hurricanes due to its small landmass, and mangroves which reduce wave impacts. The document advocates learning from natural resilient systems and implementing solutions like resilient breakwaters, eco-polders, and artificial reefs to enhance safety and resilience against accelerating climate impacts.
Blog over de opkomst en teloorgang van de Nederlandse (kust)waterbouw, verdewenen kennis en ervaring, klimaatverandering, onwetendheid, de afwachtende houding van de verantwoordelijke overheid, achterhaald en grotendeels totaal niet onderbouwd kustbeleid, de daarmee onlosmakelijk verbonden risiso’s voor onder andere de waterveiligheid, doorspekt en aangevuld met suggesties hoe de onstane situatie vlot te trekken en de gaten te dichten.
1) The document presents a pheno-metric approach for assessing coastal dynamics using key parameters like dominant wave period, waterlevel variation, onshore topography, and sediment characteristics.
2) These four parameters are argued to capture the variation in coastal shapes around the world, and allow for forecasting future changes.
3) The approach models coastal behavior within boundaries of the seabed, water levels, relevant topography, and defines characteristics like shoreface slope and presence of sandbanks based on the key parameters.
1) Accelerated climate change is impacting coasts through multiple interacting factors like changing weather patterns, wave energy spectra, and sea level rise.
2) A potentially significant threat is the increase in long wave energy, which is difficult to measure and analyze due to limitations in coastal monitoring instruments.
3) To better manage these climate change impacts, coastal resilience strategies need to take a holistic, system-wide approach focusing on the balanced interaction between incoming conditions and natural coastal dynamics, rather than traditional approaches like raising sea defenses.
Discrepancy between knowing a coastal system and mathematical modelling 11112017Marco Pluijm
1) A groyne was built in the 1990s off the coast of Texel island in the Netherlands to slow coastal erosion. Extensive modeling was done but the actual effects were very different than predicted, with accretion occurring on the opposite side instead of reduced erosion.
2) The discrepancy showed that coastal sediment transport processes are still not fully understood and incorporated into models. Phenomenological approaches based on empirical data were sidelined in favor of mathematical modeling.
3) The author argues that a new proposed mega-nourishment project in the same area as the previous groyne poses risks, as coastal dynamics are too complex to be properly modeled given current limitations. A phenomenological approach based on field data is
Old school skills and the world of virtual reality 11042017Marco Pluijm
Computational models seem to have become an all overarching framework for coastal studies and impact assessments. regardless their validity. Which has become a serious issue when talking about changing boundary conditions. Old school empirical approaches seem to be much more adequate instead.
Resilient by Nature Revisited 26022017Marco Pluijm
The document revisits the Resilient by Nature approach for coastal protection against climate change impacts like flooding and erosion. It evaluates the approach as solid and suitable for transferring to vulnerable coastal areas. It identifies several potential spin-off development opportunities from computational models to survey equipment to innovative marine structures. These could help optimize and operationalize the holistic, natural resilience-based approach. Interested parties are invited to explore opportunities and respond with interest.
Impact of long wave climate change 18022017Marco Pluijm
The ever increasing importance of long waves due to accelerated climate change and the impact on vital functions such as coastal stability and port operations.
The document discusses the differences between the Building with Nature approach and the Resilient by Nature approach to coastal protection. While Building with Nature has been profitable, it essentially just recycles sand and studies and does not provide sustainable solutions. Resilient by Nature learns from coastal systems that are resilient to extreme weather and implements natural systems to improve resilience. It requires more in-depth knowledge and experience with system components than Building with Nature. Customers should be aware of the differences between the approaches to choose effective and sustainable solutions for coastal protection.
Planning offshore hubs observations and guidelines 14012017Marco Pluijm
This document discusses the concept of offshore ports and hubs. It notes that while the idea is not new, only one has been successfully built - Yang Shan port in China. It attributes this to existing ports being able to handle cargo volumes up until recent changes reduced shipping lines and increased vessel sizes. This has created an urgent need for ports able to service mega-carriers. However, many ports cannot upgrade, risking their viability without regional solutions like offshore hubs. It analyzes past offshore hub plans and identifies key success factors like treating the hub as an ocean connection rather than standalone terminal. Yang Shan is presented as the prime example, becoming the world's largest container terminal through its regional hub role.
Adding impact safety and natural resilience to vulnerable coasts 05012017Marco Pluijm
Given today’s climate change induced challenges, it’s much more effective to follow a system based holistic approach, instead of continue fighting the elements with dated, engineered components.
Met de nederlandse waterbouw kopje onder…...Marco Pluijm
Klimaatverandering, droge voeten en het belang van een sterke thuismarkt. En waarom resultaten uit het verleden, ook in de waterbouw, geen garantie geven voor de toekomst. En waarom varen op gegist bestek geen optie is.
De aanleiding voor dit stuk ontstond met name nadat op de televisie de verantwoordelijk minister het app'je. "overstroomik.nl" demonstreerde. Alsof dat een reële optie is. Kennelijk wel. U bent gewaarschuwd. En zo zijn de buitenlandse opdrachtgevers en concurrentie.
Nederland was toch altijd het toonbeeld van droge voeten. Het land dat na 1953 nooit meer zal overstromen. Waaromheen een wereld omvattende export is opgebouwd. Als we de minister moeten geloven, dan kan Nederland het nu al niet meer aan.
In dit kader enige persoonlijke observaties vanuit het buitenland van iemand die z’n leven lang in de waterbouw heeft gewerkt. En dat nog steeds doet. Met misschien een paar suggesties...
Making florida flood impact resilient by nature 041216Marco Pluijm
This paper is about which mitigation and protection strategies are seen as viable solutions for solving the challenges Florida is facing in terms of sea level rise, flood control and hurricane impact safety and resilience.
Based on the Resilient by Nature approach, which finds its origin in what can be learned from coastal zones which face similar impact exposures or even worse and suffer less damage or hardly any at all. Translating those capabilities to areas less flood and extreme weather impact resilient, such as large parts of Florida.
Solutions for the affected areas are presented as input towards a safer and much more resilient coastal system for Florida and similar places, with regard to a rapid changing climate, accelerated sea level rise and overall related extreme weather impacts.
In order to prevent the situation that large parts of the built environment of Miami and the Keys will become the new Atlantis, sunken and lost cities.
M&cce conference pluijm final 13 oct 2016 reducedMarco Pluijm
The document discusses an innovative "Resilient by Nature" approach to addressing climate change impacts through solutions inspired by natural systems that have proven resilient to extreme weather. It provides examples of coastal landforms and ecosystems like Dauphin Island, mangroves, and eco-polders that have demonstrated resilience and discusses translating their characteristics to other vulnerable areas through holistic, systems-based solutions rather than isolated engineered structures. The approach aims to provide maximum flexibility and backup through a toolbox of natural resilience strategies.
Resilient by Nature - Marco Pluijm June 28 2016Marco Pluijm
- The document proposes a "Resilient by Nature" approach to designing coastal infrastructure that is resilient to climate change impacts like hurricanes. It involves learning from natural systems that have proven resilient, like barrier islands, mangroves, dunes, and polders.
- Examples of resilient design elements are presented, including barrier breakwaters shaped like resilient islands, sequential breakwaters, eco-shields using vegetation, and impact relief polders designed to flood during storms. The approach aims to use local materials and capacities to build resilience.
- The goal is to develop practical guidelines and tools from analyzing resilient natural systems globally, and apply that knowledge to vulnerable coastal areas in need of solutions to withstand increasing extreme weather events
Resilient by Nature - Marco Pluijm 28062016Marco Pluijm
This document discusses Marco Pluijm's work on developing climate change impact solutions that are resilient by nature. It analyzes coastal systems like barrier islands, mangroves, dunes, and polders that have shown natural resilience to extreme weather events. These systems are studied to understand their features that allow survival and rapid recovery. The goal is to translate these capabilities into generic guidelines and develop a toolbox of adaptable system components that can enhance resilience in vulnerable areas facing increasing climate change impacts.
Resilient by nature m pluijm june 7 2016Marco Pluijm
- The document discusses an approach called "Resilient by Nature" which aims to make coastal infrastructure more resilient to climate change impacts like hurricanes by learning from natural systems that have inherent resilience.
- It provides examples of natural systems that are resilient to extreme weather like barrier islands, mangroves, dune coasts, and polder systems.
- The approach seeks to translate the features that give these natural systems resilience into guidelines and tools to apply to vulnerable infrastructure to help it better withstand and recover from climate impacts.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
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.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
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.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
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.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Resilient by Nature Revisited 26022017Marco Pluijm
The document revisits the Resilient by Nature approach for coastal protection against climate change impacts like flooding and erosion. It evaluates the approach as solid and suitable for transferring to vulnerable coastal areas. It identifies several potential spin-off development opportunities from computational models to survey equipment to innovative marine structures. These could help optimize and operationalize the holistic, natural resilience-based approach. Interested parties are invited to explore opportunities and respond with interest.
Impact of long wave climate change 18022017Marco Pluijm
The ever increasing importance of long waves due to accelerated climate change and the impact on vital functions such as coastal stability and port operations.
The document discusses the differences between the Building with Nature approach and the Resilient by Nature approach to coastal protection. While Building with Nature has been profitable, it essentially just recycles sand and studies and does not provide sustainable solutions. Resilient by Nature learns from coastal systems that are resilient to extreme weather and implements natural systems to improve resilience. It requires more in-depth knowledge and experience with system components than Building with Nature. Customers should be aware of the differences between the approaches to choose effective and sustainable solutions for coastal protection.
Planning offshore hubs observations and guidelines 14012017Marco Pluijm
This document discusses the concept of offshore ports and hubs. It notes that while the idea is not new, only one has been successfully built - Yang Shan port in China. It attributes this to existing ports being able to handle cargo volumes up until recent changes reduced shipping lines and increased vessel sizes. This has created an urgent need for ports able to service mega-carriers. However, many ports cannot upgrade, risking their viability without regional solutions like offshore hubs. It analyzes past offshore hub plans and identifies key success factors like treating the hub as an ocean connection rather than standalone terminal. Yang Shan is presented as the prime example, becoming the world's largest container terminal through its regional hub role.
Adding impact safety and natural resilience to vulnerable coasts 05012017Marco Pluijm
Given today’s climate change induced challenges, it’s much more effective to follow a system based holistic approach, instead of continue fighting the elements with dated, engineered components.
Met de nederlandse waterbouw kopje onder…...Marco Pluijm
Klimaatverandering, droge voeten en het belang van een sterke thuismarkt. En waarom resultaten uit het verleden, ook in de waterbouw, geen garantie geven voor de toekomst. En waarom varen op gegist bestek geen optie is.
De aanleiding voor dit stuk ontstond met name nadat op de televisie de verantwoordelijk minister het app'je. "overstroomik.nl" demonstreerde. Alsof dat een reële optie is. Kennelijk wel. U bent gewaarschuwd. En zo zijn de buitenlandse opdrachtgevers en concurrentie.
Nederland was toch altijd het toonbeeld van droge voeten. Het land dat na 1953 nooit meer zal overstromen. Waaromheen een wereld omvattende export is opgebouwd. Als we de minister moeten geloven, dan kan Nederland het nu al niet meer aan.
In dit kader enige persoonlijke observaties vanuit het buitenland van iemand die z’n leven lang in de waterbouw heeft gewerkt. En dat nog steeds doet. Met misschien een paar suggesties...
Making florida flood impact resilient by nature 041216Marco Pluijm
This paper is about which mitigation and protection strategies are seen as viable solutions for solving the challenges Florida is facing in terms of sea level rise, flood control and hurricane impact safety and resilience.
Based on the Resilient by Nature approach, which finds its origin in what can be learned from coastal zones which face similar impact exposures or even worse and suffer less damage or hardly any at all. Translating those capabilities to areas less flood and extreme weather impact resilient, such as large parts of Florida.
Solutions for the affected areas are presented as input towards a safer and much more resilient coastal system for Florida and similar places, with regard to a rapid changing climate, accelerated sea level rise and overall related extreme weather impacts.
In order to prevent the situation that large parts of the built environment of Miami and the Keys will become the new Atlantis, sunken and lost cities.
M&cce conference pluijm final 13 oct 2016 reducedMarco Pluijm
The document discusses an innovative "Resilient by Nature" approach to addressing climate change impacts through solutions inspired by natural systems that have proven resilient to extreme weather. It provides examples of coastal landforms and ecosystems like Dauphin Island, mangroves, and eco-polders that have demonstrated resilience and discusses translating their characteristics to other vulnerable areas through holistic, systems-based solutions rather than isolated engineered structures. The approach aims to provide maximum flexibility and backup through a toolbox of natural resilience strategies.
Resilient by Nature - Marco Pluijm June 28 2016Marco Pluijm
- The document proposes a "Resilient by Nature" approach to designing coastal infrastructure that is resilient to climate change impacts like hurricanes. It involves learning from natural systems that have proven resilient, like barrier islands, mangroves, dunes, and polders.
- Examples of resilient design elements are presented, including barrier breakwaters shaped like resilient islands, sequential breakwaters, eco-shields using vegetation, and impact relief polders designed to flood during storms. The approach aims to use local materials and capacities to build resilience.
- The goal is to develop practical guidelines and tools from analyzing resilient natural systems globally, and apply that knowledge to vulnerable coastal areas in need of solutions to withstand increasing extreme weather events
Resilient by Nature - Marco Pluijm 28062016Marco Pluijm
This document discusses Marco Pluijm's work on developing climate change impact solutions that are resilient by nature. It analyzes coastal systems like barrier islands, mangroves, dunes, and polders that have shown natural resilience to extreme weather events. These systems are studied to understand their features that allow survival and rapid recovery. The goal is to translate these capabilities into generic guidelines and develop a toolbox of adaptable system components that can enhance resilience in vulnerable areas facing increasing climate change impacts.
Resilient by nature m pluijm june 7 2016Marco Pluijm
- The document discusses an approach called "Resilient by Nature" which aims to make coastal infrastructure more resilient to climate change impacts like hurricanes by learning from natural systems that have inherent resilience.
- It provides examples of natural systems that are resilient to extreme weather like barrier islands, mangroves, dune coasts, and polder systems.
- The approach seeks to translate the features that give these natural systems resilience into guidelines and tools to apply to vulnerable infrastructure to help it better withstand and recover from climate impacts.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
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.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
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.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
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.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
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.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
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