This certificate acknowledges that Nemesh Heshan Weerawarna completed COVID-19 Vaccine Training for Health Workers provided by Project HOPE on May 27, 2021, lasting 1 hour and 30 minutes. The training equipped health workers with important information for administering COVID-19 vaccines safely and effectively.
This certificate of completion is granted to Nemesh Heshan Weerawarna for successfully completing the Nonprofit Essentials: Certificate Exam on Tuesday, May 25, 2021. The exam was provided by Cornerstone OnDemand Foundation and took 0 hours and 30 minutes to complete. The certificate is signed by the Executive Director of Cornerstone OnDemand Foundation.
Energy Production, Distribution & Safety - SpecializationNemeshWeerawarna
Nemash Hesham Weerawarna successfully completed an online, non-credit specialization in Energy Production, Distribution & Safety consisting of 4 courses. The specialization covered the structure of the energy industry, energy origins and constraints, emerging technologies impacting the Smart Grid, electrical power systems components, natural gas properties and operations, and standard energy industry safety practices and OSHA regulations. The online specialization did not constitute enrollment at the university and did not confer a grade, credit, degree or verify the learner's identity.
Nemesh Heshan Weerawarna successfully completed the online non-credit course "Energy: The Enterprise" through the University at Buffalo and Coursera. Martin Casstevens, the Business Formation and Commercialization Manager at the University, verified Weerawarna's identity and participation in the course.
This document certifies that Nemesh Heshan Weerawarna successfully completed the online non-credit course "Safety in the Utility Industry" through Coursera. The course was authorized by the University at Buffalo and offered through their online platform. Richard Stempniak, an associate professor at Buffalo State College, verified Weerawarna's identity and participation.
This document certifies that Nemesh Heshan Weerawarna successfully completed an online non-credit course on Natural Gas authorized by the University at Buffalo and offered through Coursera. The completion is verified by Tom Russo, President of Russo on Energy LLC, and can be confirmed on Coursera's website.
Nemesh Heshan Weerawarna successfully completed the Solar Energy Systems Overview course offered through Coursera and authorized by University at Buffalo. The course was taught by Gay Canough, PhD, who is a partner at Direct Gain Consulting and founder of ETM Solar Works. Coursera verified Nemesh Heshan Weerawarna's identity and participation in the course.
Nemesh Heshan Weerawarna completed a Cisco Networking Academy self-paced Python programming course, studying universal programming concepts, developer tools, Python syntax and object-oriented programming, problem solving techniques, and best practices. By finishing the course, the student is now prepared to attempt the PCAP certification from the OpenEDG Python Institute, which qualifies their knowledge of fundamental Python programming.
This certificate acknowledges that Nemesh Heshan Weerawarna completed COVID-19 Vaccine Training for Health Workers provided by Project HOPE on May 27, 2021, lasting 1 hour and 30 minutes. The training equipped health workers with important information for administering COVID-19 vaccines safely and effectively.
This certificate of completion is granted to Nemesh Heshan Weerawarna for successfully completing the Nonprofit Essentials: Certificate Exam on Tuesday, May 25, 2021. The exam was provided by Cornerstone OnDemand Foundation and took 0 hours and 30 minutes to complete. The certificate is signed by the Executive Director of Cornerstone OnDemand Foundation.
Energy Production, Distribution & Safety - SpecializationNemeshWeerawarna
Nemash Hesham Weerawarna successfully completed an online, non-credit specialization in Energy Production, Distribution & Safety consisting of 4 courses. The specialization covered the structure of the energy industry, energy origins and constraints, emerging technologies impacting the Smart Grid, electrical power systems components, natural gas properties and operations, and standard energy industry safety practices and OSHA regulations. The online specialization did not constitute enrollment at the university and did not confer a grade, credit, degree or verify the learner's identity.
Nemesh Heshan Weerawarna successfully completed the online non-credit course "Energy: The Enterprise" through the University at Buffalo and Coursera. Martin Casstevens, the Business Formation and Commercialization Manager at the University, verified Weerawarna's identity and participation in the course.
This document certifies that Nemesh Heshan Weerawarna successfully completed the online non-credit course "Safety in the Utility Industry" through Coursera. The course was authorized by the University at Buffalo and offered through their online platform. Richard Stempniak, an associate professor at Buffalo State College, verified Weerawarna's identity and participation.
This document certifies that Nemesh Heshan Weerawarna successfully completed an online non-credit course on Natural Gas authorized by the University at Buffalo and offered through Coursera. The completion is verified by Tom Russo, President of Russo on Energy LLC, and can be confirmed on Coursera's website.
Nemesh Heshan Weerawarna successfully completed the Solar Energy Systems Overview course offered through Coursera and authorized by University at Buffalo. The course was taught by Gay Canough, PhD, who is a partner at Direct Gain Consulting and founder of ETM Solar Works. Coursera verified Nemesh Heshan Weerawarna's identity and participation in the course.
Nemesh Heshan Weerawarna completed a Cisco Networking Academy self-paced Python programming course, studying universal programming concepts, developer tools, Python syntax and object-oriented programming, problem solving techniques, and best practices. By finishing the course, the student is now prepared to attempt the PCAP certification from the OpenEDG Python Institute, which qualifies their knowledge of fundamental Python programming.
This certificate confirms that Nemesh Weerawarna successfully completed requirements to become a Water Safety Ambassador by the American Red Cross on May 11, 2021. The certificate is valid for 2 years and includes an ID that can be scanned or entered on the Red Cross website to verify the certificate.
This certificate verifies that Nemesh Heshan Weerawarna successfully completed the online non-credit course "Electric Power Systems" through Coursera. The course was authorized by the University at Buffalo and Buffalo State College Professor Ilya Grinberg verified Nemesh Heshan Weerawarna's identity and participation in the course.
Nemesh Heshan Weerawarna successfully completed an online non-credit COVID-19 contact tracing course authorized by Johns Hopkins University and offered through Coursera. The certificate verifies Nemesh's identity and participation in the course but does not confer any grades, credits, degrees or establish a relationship with Johns Hopkins University.
This certificate verifies that NEMESH HESHAN WEERAWARNA successfully completed the online specialization in Embedding Sensors and Motors. The specialization included four courses covering sensor circuit design, motor control circuits, various types of sensors, and sensor manufacturing processes. Upon completion, students learned how to specify, amplify, sample, and filter signals from different sensors and control a variety of AC and DC motors.
Nemesh Heshan Weerawarna has successfully completed an online COVID-19 training course for healthcare workers offered through Coursera and authorized by Stanford University. The course was taught by SV Mahadevan and Matthew Strehlow. While some online courses may relate to on-campus courses, this online course does not confer a Stanford grade, credit, or degree, and only verifies the participant's identity and participation, not enrollment as a Stanford student.
Nemesh Heshan Weerawarna successfully completed the online non-credit course "Pressure, Force, Motion, and Humidity Sensors" authorized by University of Colorado Boulder and offered through Coursera. The course was instructed by James Zweighaft and Jay Mendelson of the Electrical, Computer, & Energy Engineering department at University of Colorado Boulder. Coursera verified Nemesh Heshan Weerawarna's identity and participation in the course.
This document is a certificate confirming that Nemesh Heshan Weerawarna successfully completed the online course "Sensors and Sensor Circuit Design" through Coursera. The course was authorized by the University of Colorado Boulder and instructed by James Zweighaft and Jay Mendelson of the university's Electrical, Computer, and Energy Engineering department. Coursera has verified Nemesh Heshan Weerawarna's identity and participation in the course.
This document is a certificate confirming that Nemesh Heshan Weerawarna successfully completed the online course "Motors and Motor Control Circuits" through Coursera. The course was authorized by the University of Colorado Boulder and instructed by Jay Mendelson and James Zweighaft of the university's Electrical, Computer, & Energy Engineering department. Coursera has verified Nemesh Heshan Weerawarna's identity and participation in the course.
Design and optimization of ion propulsion dronebjmsejournal
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.
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.
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
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
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.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
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.
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.
This certificate confirms that Nemesh Weerawarna successfully completed requirements to become a Water Safety Ambassador by the American Red Cross on May 11, 2021. The certificate is valid for 2 years and includes an ID that can be scanned or entered on the Red Cross website to verify the certificate.
This certificate verifies that Nemesh Heshan Weerawarna successfully completed the online non-credit course "Electric Power Systems" through Coursera. The course was authorized by the University at Buffalo and Buffalo State College Professor Ilya Grinberg verified Nemesh Heshan Weerawarna's identity and participation in the course.
Nemesh Heshan Weerawarna successfully completed an online non-credit COVID-19 contact tracing course authorized by Johns Hopkins University and offered through Coursera. The certificate verifies Nemesh's identity and participation in the course but does not confer any grades, credits, degrees or establish a relationship with Johns Hopkins University.
This certificate verifies that NEMESH HESHAN WEERAWARNA successfully completed the online specialization in Embedding Sensors and Motors. The specialization included four courses covering sensor circuit design, motor control circuits, various types of sensors, and sensor manufacturing processes. Upon completion, students learned how to specify, amplify, sample, and filter signals from different sensors and control a variety of AC and DC motors.
Nemesh Heshan Weerawarna has successfully completed an online COVID-19 training course for healthcare workers offered through Coursera and authorized by Stanford University. The course was taught by SV Mahadevan and Matthew Strehlow. While some online courses may relate to on-campus courses, this online course does not confer a Stanford grade, credit, or degree, and only verifies the participant's identity and participation, not enrollment as a Stanford student.
Nemesh Heshan Weerawarna successfully completed the online non-credit course "Pressure, Force, Motion, and Humidity Sensors" authorized by University of Colorado Boulder and offered through Coursera. The course was instructed by James Zweighaft and Jay Mendelson of the Electrical, Computer, & Energy Engineering department at University of Colorado Boulder. Coursera verified Nemesh Heshan Weerawarna's identity and participation in the course.
This document is a certificate confirming that Nemesh Heshan Weerawarna successfully completed the online course "Sensors and Sensor Circuit Design" through Coursera. The course was authorized by the University of Colorado Boulder and instructed by James Zweighaft and Jay Mendelson of the university's Electrical, Computer, and Energy Engineering department. Coursera has verified Nemesh Heshan Weerawarna's identity and participation in the course.
This document is a certificate confirming that Nemesh Heshan Weerawarna successfully completed the online course "Motors and Motor Control Circuits" through Coursera. The course was authorized by the University of Colorado Boulder and instructed by Jay Mendelson and James Zweighaft of the university's Electrical, Computer, & Energy Engineering department. Coursera has verified Nemesh Heshan Weerawarna's identity and participation in the course.
Design and optimization of ion propulsion dronebjmsejournal
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.
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.
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
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
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.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
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.
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.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
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.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
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.