Decommissioning in house
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The key objective of this Decommissioning Masterclass course is to provide the delegates with a detailed understanding of all aspects of decommissioning.
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Decommissioning in house
This 2-day Decommissioning of Offshore Installations training course will provide delegates with a detailed awareness and understanding of all aspects of offshore decommissioning from ‘late life operations’ through planning, preparation, execution and close out.
Decommissioning
This training course will be an interactive course which will be delivered through 11 sessions taking the delegates through a ‘decommissioning journey’ gradually going into more detail with each day progresses and will be to the best of knowledge in the field of decommissioning. Delegates will take part in discussion and exercises for decommissioning a typical field. The sessions will contain both PowerPoint and video presentations with support documentation provided. Case studies and lessons learnt will also be shared with the delegates.
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Decommissioning in-house
Lead and project engineers (marine, structural, HSE, environment, structural, subsea, maintenance should attend this decommissioning masterclass.
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VERVIEW OF DECOMMISSIONING OF OFFSHORE MASTERCLASS IN EUROPE
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Decommissioning in house
This 2-day Decommissioning of Offshore Installations training course will provide delegates with a detailed awareness and understanding of all aspects of offshore decommissioning from ‘late life operations’ through planning, preparation, execution and close out.
Decommissioning
This training course will be an interactive course which will be delivered through 11 sessions taking the delegates through a ‘decommissioning journey’ gradually going into more detail with each day progresses and will be to the best of knowledge in the field of decommissioning. Delegates will take part in discussion and exercises for decommissioning a typical field. The sessions will contain both PowerPoint and video presentations with support documentation provided. Case studies and lessons learnt will also be shared with the delegates.
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Lead and project engineers (marine, structural, HSE, environment, structural, subsea, maintenance should attend this decommissioning masterclass.
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VERVIEW OF DECOMMISSIONING OF OFFSHORE MASTERCLASS IN EUROPE
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decommissioning EUROPE
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Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
AI assisted telemedicine KIOSK for Rural India.pptx
It gives the overall description of SIH problem statement " AI assisted telemedicine KIOSK for Rural India".
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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.
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.
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/)
artificial intelligence and data science contents.pptx
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
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.
cnn.pptx Convolutional neural network used for image classication
Convolutional Neural Network used for image classification
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.
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Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
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Advanced control scheme of doubly fed induction generator for wind turbine us...
Generative AI leverages algorithms to create various forms of content
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Engineering Drawings Lecture Detail Drawings 2014.pdf
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Decommissioning in house
- 1. Event Date 03 – 04 February, 2020, Location – Amsterdam, The Netherlands Decommissioning of Offshore Installations
- 2. OVERVIEW OF DECOMMISSIONING OF OFFSHORE MASTERCLASS IN EUROPE This training course will be an interactive course delivered through 11 sessions taking the delegates through a ‘decommissioning journey’ gradually going in to more detail with each day progresses. Delegates will take part in discussion and exercises for decommissioning a typical field. The sessions will contain both PowerPoint and video presentations with support documentation provided. Case studies and lessons learnt will also be shared with the delegates.
- 3. WHOSHOULD ATTEND THIS DECOMMISSIONING OF OFFSHORE TR AINING IN AMSTERDAM? Oil and Gas Operator key management and project manager should attend this decommissioning master class Personnel ( assetmanagement, operations, subseacommercial. should attend this decommissioning Amsterdam. Contractor/supply chain management/key personnel should attend this decommissioning Amsterdam. Regulator key personnel involved with decommissioning should attend this decommissioning Amsterdam.
- 4. WHAT ARE THE GOALS OF THIS MASTERCLASS? The key objective of this Decommissioning Masterclass course is to provide the delegates with a detailed understanding of all aspects of decommissioning.
- 5. HIGHLIGHT OF DECOMMISSIONING OF OFFSHORE MASTERCLASS You will get to know about the key components of decommissioning in this Decommissioning Amsterdam You will get to know about Regulatory issues in this Decommissioning Amsterdam You will get to know about Decommissioning strategies in this Decommissioning Amsterdam You will get to know about Decommissioning options in this Decommissioning Amsterdam You will get to know about End of field life in this Decommissioning Amsterdam
- 6. KEY DELEGATE BENEFITS THIS DECOMMISSIONING MASTERCLASS COURSE ARE A unique learning experience through decommissioning related exercises Interaction with other professionals Opportunity to see how decommissioning challenges are managed internationally Opportunity to see and discuss future changes and technologies for decommissioning
- 7. BY THE END OF THIS DECOMMISSIONING TRAINING COURSE, PARTICIPANTS WILL LEARN TO: Plan and execute decommissioning strategies Develop scopes for the various phases of decommissioning Identify and manage decommissioning interphases Produce a Decommissioning Program
- 9. 9
- 10. 10 1,000CORPORATE CUSTOMERS WORLDWIDE 100% Total success! 40 Domains
- 11. 11 Thanks! For any questions? You can find me at: Masterclass.registrations@aurelius.in https://aureliusglobalmasterclass.com/ +44 2032 339808