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Basikz Reliability Solutions Pvt Ltd is an electronics engineering consultancy and manufacturing firm located in Chandigarh, India. Their vision is to strengthen R&D and manufacturing in India by connecting students directly to industry. Their mission is to build a new level of R&D setup that bridges engineering houses and academic institutions so that students can carry out design processes and activities under faculty guidance. They offer consultancy, competency development programs, component sourcing, subcontracting services for PCB fabrication and assembly, and turnkey solutions like airfield lighting systems.
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Sandeep Choudhary is seeking a position and includes his contact information, education history, internship experiences, honors and activities, skills including proficiency with design software and quality management tools, and personal information. He has a Bachelor's degree in Industrial Engineering and Management and has completed internships in tire, oil and gas, and pipe manufacturing industries.
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EH-UpdatedProfile2016
Engineering Hut provides IT solutions, engineering services, trainings, marketing and events. It aims to provide hands-on experience and opportunities for students to develop skills through instruction from experienced instructors. Engineering Hut also connects students to opportunities in the corporate sector or to become entrepreneurs. It is a sister company of Hameed & Sons Engineering Company and focuses on fields like mechanical, chemical, electrical engineering, IT, graphic design, and entrepreneurship.
Chayanun Pikulkarntalert CV
An MSc Engineering and Management student seeking a graduate position. He has experience developing production lines more efficiently using sensors to improve quality and safety while meeting standards and timelines. He obtained a Merit for his MSc in Engineering and Management from Coventry University where he conducted a project evaluating ISO standards to develop an electronics company in Thailand. Previously he worked at PLANET T AND S CO., LTD developing efficiency through innovative sensor solutions.
Chayanun Pikulkarntalert CV
An MSc Engineering and Management student seeking a graduate position with experience developing production lines and innovatively using sensors to increase efficiency and safety. The candidate has a BEng in Mechanical Engineering from Kasetsart University in Thailand and an MSc from Coventry University with a dissertation evaluating ISO standards to develop an electronics company in Thailand. Relevant work experience includes developing efficiency through sensor solutions at Planet T and S Co., Ltd. Communication, teamwork, problem solving, and business acumen skills are also highlighted.
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Applications of artificial Intelligence in Mechanical Engineering.pdf
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.
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.
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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.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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/)
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
cnn.pptx Convolutional neural network used for image classication
Convolutional Neural Network used for image classification
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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.
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.
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
BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION
AND CLASSIFICATION USING
ARTIFICIAL INTELLIGENCE
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Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Pamphlet
- 1. GST No : 04AAHCB8165D1ZU Basikz Reliability Solutions Pvt Ltd. Booth No. 261, Sector 37-C, Chandigarh. Ph: 9023130944 E-Mail: contact.basikz@gmail.com, www.basikz.co.in, www.facebook.com/basikz CIN No: U74994CH2018PTC041993; PAN: AAHCB8165D; TAN: PTLB14286G Our Vision: To strengthen the R&D and manufacturing setup of India by connecting creative and youthful students directly with the industry. Our Mission: We aim to build & strengthen a new level of R&D setup in the conventional hierarchy of the industry. Conventionally manufacturing industries have 2 or 3 internal levels of R&D setups starting from technology houses (R&D) to Engineering houses (Development & Engineering). We aim to work as a bridge between these engineering houses and academic institutions so that design processes or design activities of repeated nature or moderate severity may be carried out by college students under suitable guidance of their faculties and/or our consultants. Our Offering Consultancy services Competency development programs Components Sourcing Sub Contract Services like PCB fabrication, assy, cable assy etc. Turn key Solutions like Airfield Lighting Solutions Consultancy Services We offer consultation for all phases of development of professional electronics products especially for rugged-defense applications. These phases includes: Design Failure Modes & Effects Analysis (FMEA) Engineering/Prototyping Test setups Benchmarking Documentation AS-9100C compliance MIL-STD compliance Design for Six Sigma Design for Reliability Knowledge Management Services
- 2. GST No : 04AAHCB8165D1ZU Basikz Reliability Solutions Pvt Ltd. Booth No. 261, Sector 37-C, Chandigarh. Ph: 9023130944 E-Mail: contact.basikz@gmail.com, www.basikz.co.in, www.facebook.com/basikz CIN No: U74994CH2018PTC041993; PAN: AAHCB8165D; TAN: PTLB14286G Competency Development Programs We offer following competency development programs for academic institutions or industries: Seven semester Specialization Course in Development & Engineering. Six months Crash Course on Development & Engineering. Standalone Hands-on or theoretical workshops on discrete topics. Components Sourcing We source electronic components ranging from passives parts, Semiconductors parts, Electro- Mechanical parts, Power devices, Circuit protection devices, Connectors, Cables, wires, and test products. Sub Contract Services We also offer sub-contract services for PCB fabrication, assembly, re-work & cable assembly. Turnkey Solutions We provide turnkey solutions for electronic systems, sub-systems, testing setups and customized carrying cases.