IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
This document contains contact information for DreamwebTechnosolutions in Trichy, India and lists various mobile computing, data mining, cloud computing, big data, and network security research project titles and their years. It provides titles and years for 11 mobile computing projects, 11 data mining projects, 13 cloud computing projects, 6 big data projects, and 5 network security projects conducted between 2016-2017. The contact listed is K.RanjithKumar who can be reached by phone.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
This document contains contact information for DreamwebTechnosolutions in Trichy, India and lists several mobile computing, data mining, cloud computing, big data, and network security research project titles and their years. It provides titles and years for 11 mobile computing projects, 11 data mining projects, 13 cloud computing projects, 6 big data projects, and 5 network security projects conducted between 2016-2017. The contact listed is K.RanjithKumar who can be reached by phone.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
This document contains contact information for DreamwebTechnosolutions in Trichy, India and lists various mobile computing, data mining, cloud computing, big data, and network security research project titles and their years. It provides titles and years for 11 mobile computing projects, 11 data mining projects, 13 cloud computing projects, 6 big data projects, and 5 network security projects conducted between 2016-2017. The contact listed is K.RanjithKumar who can be reached by phone.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
This document contains contact information for DreamwebTechnosolutions in Trichy, India and lists several mobile computing, data mining, cloud computing, big data, and network security research project titles and their years. It provides titles and years for 11 mobile computing projects, 11 data mining projects, 13 cloud computing projects, 6 big data projects, and 5 network security projects conducted between 2016-2017. The contact listed is K.RanjithKumar who can be reached by phone.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
This document contains 50 topics related to power systems engineering. The topics cover a wide range of power electronics and power quality issues including rectifiers, power factor correction techniques, active power filters, renewable energy systems, motor drives, grid integration of inverters, and reactive power compensation.
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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 IAMDivyanshu
#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/)
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.
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.
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.
This document contains 50 topics related to power systems engineering. The topics cover a wide range of power electronics and power quality issues including rectifiers, power factor correction techniques, active power filters, renewable energy systems, motor drives, grid integration of inverters, and reactive power compensation.
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
We are offering PROJECTS in EMBEDDED, MATLAB, NS2, VLSI, Power Electronics,Power Systems for BE- ECE & EEE Students.
Own Concepts also accepted.providing real time projects on MATLAB,EMB&VLSI for ECE Dept DreamwebTechnosolutions
73/5,3rd FLOOR,SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Ph: 0431 4050403,7200021403/04.
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 project titles for me m.tech in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Ieee 2016 2017 titles in network security for java and dotnet in trichyranjith kumar
IEEE Final Year Projects for M.E/M.TECH-CSE,VLSI,COMMUNICATION SYSTEM,B.E-CSE/IT from any domain & Technologies.For more detail contact:-DreamWeb TechnoSolutions@7200021403/04, 73/5 3rd floor,Kamatchi cmplx,SALAI ROADThillai nagar 1st cross,Trichy
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
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 IAMDivyanshu
#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/)
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.
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.
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.
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.
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
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.
1. DreamwebTechnosolutions
73/5,3rdFLOOR, SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Contact:-K.RanjithKumar:7200021403/04 PH: 0431 4050403.
S/No PROJECT CAPTION YEAR
MOBILE COMPUTING TITLES LIST
1 Discovering Mobile Applications in Cellular Device-to-Device
Communications: Hash Function and Bloom Filter-Based Approach
2016-17
2 Optimizing Video Request Routing in Mobile Networks with Built-in
Content Caching
2016-17
3 Toward Optimal Distributed Monitoring of Multi-Channel Wireless
Networks
2016-17
4 Profit Maximization through Online Advertising Scheduling for a
Wireless Video Broadcast Network
2016-17
5 Secure Run: Cheat-Proof and Private Summaries for Location-Based
Activities
2016-17
6 Big Data in Mobile Social Networks: A QoE-Oriented Framework 2016-17
7 ECG Authentication for Mobile Devices 2016-17
8 Efficient and Anonymous Mobile User Authentication Protocol Using
Self-certified Public Key Cryptography for Multi-server Architectures
2016-17
9 Enabling Mobile Cloud Wide Spread Through an Evolutionary Market-
Based Approach
2016-17
10 Providing Privacy-Aware Incentives in Mobile Sensing Systems 2016-17
11 The Potential of Mobile Opportunistic Networks for Data Disseminations
DATA MINING TITLES LIST
1 A Novel Recommendation Model Regularized with User Trust and Item
Ratings
2016-17
2 Resolving Multi-Party Privacy Conflicts in Social Media 2016-17
3 Automatically Mining Facets for Queries from Their Search Results 2016-17
2. DreamwebTechnosolutions
73/5,3rdFLOOR, SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Contact:-K.RanjithKumar:7200021403/04 PH: 0431 4050403.
4 Truth Discovery in Crowdsourced Detection of Spatial Events 2016-17
5 Inductive Visual Miner Plugin Customization for the Detection of
Eventualities in the Processes of a Hospital Information System
2016-17
6 Hierarchical Spatio-Temporal Pattern Discovery and Predictive
Modeling
2016-17
7 A Comprehensive Study on Willingness Maximization for Social Activity
Planning with Quality Guarantee
2016-17
8 A Framework for Categorizing and Applying Privacy-Preservation
Techniques in Big Data Mining
2016-17
9 NATERGM: A Model for Examining the Role of Nodal Attributes in
Dynamic Social Media Networks
2016-17
10 On the Interplay Between Individuals’ Evolving Interaction Patterns and
Traits in Dynamic Multiplex Social Networks
2016-17
11 Relational Agreement Measures for Similarity Searching of
Cheminformatic Data Sets
2016-17
S/No PROJECT CAPTION YEAR
CLOUD COMPUTINGTITLES LIST
1 Encrypted Data Management with Deduplication in Cloud Computing 2016-17
2 Secure Data Analytics for Cloud-Integrated Internet of Things
Applications
2016-17
3 Security in Cloud-Computing-Based Mobile Health 2016-17
4 Migrating Smart City Applications to the Cloud 2016-17
5 Optimizing Cost for Online Social Networks on Geo-Distributed Clouds 2016-17
6 Supporting Multi Data Stores Applications in Cloud Environments 2016-17
7 Dispersing Instant Social Video Service Across Multiple Clouds 2016-17
3. DreamwebTechnosolutions
73/5,3rdFLOOR, SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Contact:-K.RanjithKumar:7200021403/04 PH: 0431 4050403.
8 A Secure Anti-Collusion Data Sharing Scheme for Dynamic Groups in
the Cloud
9 CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems
10 Circuit Ciphertext-Policy Attribute-Based Hybrid Encryption with
Verifiable Delegation in Cloud Computing
11 Fine-Grained Two-Factor Access Control for Web-Based Cloud
Computing Services
12 Optimal Coding and Allocation for Perfect Secrecy in Multiple Clouds
13 Privacy Preserving Ranked Multi-Keyword Search for Multiple Data
Owners in Cloud Computing
BIG DATA TITLES LIST
2016-17
1 Conjunctive Keyword Search With Designated Tester and Timing
Enabled Proxy Re-Encryption Function for E-Health Clouds
2016-17
2 Leveraging Data Deduplication to Improve the Performance of Primary
Storage Systems in the Cloudk
2016-17
3 A Parallel Patient Treatment Time Prediction Algorithm and Its
Applications in Hospital Queuing-Recommendation in
a Big Data Environment
2016-17
4 OverFlow: Multi-Site Aware Big Data Management for Scientific
Workflows on Clouds
2016-17
5 Conjunctive Keyword Search With Designated Tester and Timing
Enabled Proxy Re-Encryption Function for E-Health Clouds
2016-17
6 Leveraging Data Deduplication to Improve the Performance of Primary
Storage Systems in the Cloudk
2016-17
NETWORK SECURITY
1 Analyzing Android Encrypted Network Traffic to Identify User Actions 2016-17
4. DreamwebTechnosolutions
73/5,3rdFLOOR, SRI KAMATCHI COMPLEX
OPP.CITY HOSPITAL (NEAR LAKSHMI COMPLEX)
SALAI ROAD,Trichy - 620 018,
Contact:-K.RanjithKumar:7200021403/04 PH: 0431 4050403.
2 Authenticated Key Exchange Protocols for Parallel Network File Systems 2016-17
3 Conditional Identity-Based Broadcast Proxy Re-Encryption and Its
Application to Cloud Email
2016-17
4 Reducing Fragmentation for In-line Deduplication Backup Storage via
Exploiting Backup History and Cache Knowledge
2016-17
5 Trustworthy Parking Communities: Helping Your Neighbor to Find a
Space
2016-17