Geral Tinajero
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This document is a resume for Geraldine Eduardo Tinajero Ramos. It summarizes their professional experience working in engineering and design roles in both public and private sectors. It highlights their skills in areas like mechanical engineering, CAD design, project engineering, and laboratory testing. It also lists their educational background, software proficiencies, projects, and academic honors.
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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
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
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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.
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Convolutional Neural Network used for image classification
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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
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/)
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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.
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Geral Tinajero
- 1. Geraldine Eduardo Tinajero Ramos Proudly Polytechnic, experience in the sector public as private, focused on engineering and architecture.Great capacity for pressure and team work.Visionary, futuristic, philanthropist, intellectual with a steel character and a tenacity that melts lead. geral.tinajero@gmail.com (044) 5565715382 55-51611292 Colonia San Andres Tetepilco. C.P. 09440. Alcaldia Iztapalapa, Ciudad de Mexico. Professional Experience Mechanical Engineer Instituto Politécnico Nacional 2011- 2014 Dibujo Asistido Por Computadora CECYT 2 Instituto Politécnico Nacional 2007 - 2010 Auxiliar Contable EST 13 Dirección General de Escuelas Secundarias Técnicas Native A2A1 A2 6/February/2018 to 6/August/2018 CDMX Vulcanización y Servicios Industriales S.A de C.V. Mining Sector Project Engineering Assistant Responsible for work plans for different projects such as technical and commercial proposals in the area of mechanics. 25/September/2017 to 15/January/2018 CDMX Industrias Automotrices R.C. S.A de C.V. Manufacturing Sector Scholar of the Mechanical área Commissioner in the extensión of quality control and process engineering for industrial activities. 20/December/2016 to 1/September/2017 CDMX Autonomous Education Sector Math Advisor Particular lessons focused on exact sciences and 3D modeling. 10/November/2014 to 7/December/2016 CDMX Comercializadora y Servicios 3 Watts S.A de C.V. Electric sector Designer Draftsman Representantive of the electrical and architectural projects before the CFE as well as the projection department of the company. A1 7/February/2019 to 29/May/2020 EDOMEX Flowserve, S. de R.L. de C.V. Hydraulic Sector Practitioner in the testing laboratory área In charge of making the spreadsheets to test the hydraulic machines, as well as running the study of performance, NPSH, mechanical and submergence. Software ➢ AutoCAD. ➢ 3D Max. ➢ Inventor. ➢ Solidworks. ➢ Corel DRAW ➢ Photoshop. ➢ Illustrator. ➢ Catia
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