127. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/2811G.33/MAN from the University of Bridgeport in the USA, dated March 12, 2024. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
126. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/_3628G/MAN from the University of Bridgeport, USA, dated March 11, 2024. The certificate was issued to Manu Mitra and is associated with the University of Bridgeport.
125. Reviewer Certificate in BP International [2024]Manu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/3067G.3/MAN from the University of Bridgeport in the USA, dated March 11, 2024. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
123. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/_7278A/MAN from the University of Bridgeport, USA, dated February 19, 2024. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
122. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/8900A/MAN from the University of Bridgeport, USA, dated February 3, 2024. The certificate was issued to Manu Mitra and lists his name, the certifying institution, the certificate number, and date of issuance.
Manu Mitra received Certificate No. BPI/PR/Cert/7169E/MAN from the University of Bridgeport in the USA on January 3, 2024 for completing a professional certification program. The certificate acknowledges Manu Mitra's participation and achievement in a training program offered through the University of Bridgeport.
Mr. Manu Mitra from the Department of Electrical Engineering at the University of Bridgeport in the USA received the Best Researcher Award at the 2023 International Award Ceremony on Academic Achievers in Higher Educational Institutions for his outstanding contribution to research.
Manu Mitra received Certificate No. BPI/PR/Cert/6972E/MAN from the University of Bridgeport in the USA, dated December 15, 2023. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
Manu Mitra completed the course "Data Processing Notice-India Other Workers v2" on 12/2/2023. This certification confirms Manu Mitra finished the data processing course for workers in India.
Manu Mitra received Certificate No. BPI/PR/Cert/859B/MAN from the University of Bridgeport in the USA on December 1, 2023 for an unspecified achievement. The brief document provides Mitra's name, the certifying institution, certificate number, and date.
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.
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.
127. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/2811G.33/MAN from the University of Bridgeport in the USA, dated March 12, 2024. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
126. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/_3628G/MAN from the University of Bridgeport, USA, dated March 11, 2024. The certificate was issued to Manu Mitra and is associated with the University of Bridgeport.
125. Reviewer Certificate in BP International [2024]Manu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/3067G.3/MAN from the University of Bridgeport in the USA, dated March 11, 2024. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
123. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/_7278A/MAN from the University of Bridgeport, USA, dated February 19, 2024. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
122. Reviewer Certificate in BP InternationalManu Mitra
Manu Mitra received Certificate No. BPI/PR/Cert/8900A/MAN from the University of Bridgeport, USA, dated February 3, 2024. The certificate was issued to Manu Mitra and lists his name, the certifying institution, the certificate number, and date of issuance.
Manu Mitra received Certificate No. BPI/PR/Cert/7169E/MAN from the University of Bridgeport in the USA on January 3, 2024 for completing a professional certification program. The certificate acknowledges Manu Mitra's participation and achievement in a training program offered through the University of Bridgeport.
Mr. Manu Mitra from the Department of Electrical Engineering at the University of Bridgeport in the USA received the Best Researcher Award at the 2023 International Award Ceremony on Academic Achievers in Higher Educational Institutions for his outstanding contribution to research.
Manu Mitra received Certificate No. BPI/PR/Cert/6972E/MAN from the University of Bridgeport in the USA, dated December 15, 2023. The certificate was issued to Manu Mitra by the University of Bridgeport located in the United States of America.
Manu Mitra completed the course "Data Processing Notice-India Other Workers v2" on 12/2/2023. This certification confirms Manu Mitra finished the data processing course for workers in India.
Manu Mitra received Certificate No. BPI/PR/Cert/859B/MAN from the University of Bridgeport in the USA on December 1, 2023 for an unspecified achievement. The brief document provides Mitra's name, the certifying institution, certificate number, and date.
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.
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.
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.
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.
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.
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.
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
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
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.
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.