This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, machine learning, and databases.
CTAS is a collaborative two-level task scheduling algorithm for wireless sensor nodes with multiple sensing units:
1) It performs coarse-grain scheduling at the group level, scheduling event types and data transmissions for neighboring sensor nodes based on their overlapping sensing areas.
2) It performs fine-grain scheduling at the individual node level, scheduling the tasks of the assigned event types for each sensor node.
3) Simulation results show CTAS significantly improves energy consumption by up to 67% and reduces event misses by 75% compared to existing techniques.
2013 2014 ieee final year be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
The document is composed of repeated phrases of "Example text" and "This is an example text". It provides examples of social communication text but no actual social communication content. The document suggests replacing the example text with one's own text but provides no other context or information.
2013 2014 ieee final year students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics with brief descriptions.
This document summarizes an article from the International Journal of Computer Engineering and Technology (IJCET) that proposes a new protocol called MP-ECCNL to address coverage and connectivity issues in randomly deployed wireless sensor networks. The protocol aims to maximize network lifetime by optimizing routing through multi-hop transmissions while efficiently utilizing network resources. The article reviews related work on coverage and connectivity techniques, presents a problem formulation for modeling coverage and connectivity requirements, and describes how MP-ECCNL was tested against LEACH and found to better maintain coverage and connectivity over large-scale networks, extending lifetime.
This document summarizes research on photovoltaic structures using thermally evaporated tin sulfide thin films. Key points:
- Tin sulfide films were deposited by thermal evaporation onto glass substrates in thicknesses ranging from 100-300nm.
- The films exhibited n-type conductivity at low thicknesses, transitioning to p-type at higher thicknesses. Bandgaps ranged from 2.1-1.7eV.
- CdS/SnS photovoltaic cells showed open circuit voltages up to 400mV, short circuit current densities up to 0.061mA/cm2, and conversion efficiencies up to 1.49% under 106mW/cm2 illumination.
This document lists over 80 potential cloud computing project titles and provides contact information for Richbrain Technologies, which offers IEEE final year projects. It includes projects related to load balancing, security, data storage, streaming, and other cloud computing topics. Students can contact Richbrain via the provided mobile number or email to obtain more details on specific projects.
CTAS is a collaborative two-level task scheduling algorithm for wireless sensor nodes with multiple sensing units:
1) It performs coarse-grain scheduling at the group level, scheduling event types and data transmissions for neighboring sensor nodes based on their overlapping sensing areas.
2) It performs fine-grain scheduling at the individual node level, scheduling the tasks of the assigned event types for each sensor node.
3) Simulation results show CTAS significantly improves energy consumption by up to 67% and reduces event misses by 75% compared to existing techniques.
2013 2014 ieee final year be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
The document is composed of repeated phrases of "Example text" and "This is an example text". It provides examples of social communication text but no actual social communication content. The document suggests replacing the example text with one's own text but provides no other context or information.
2013 2014 ieee final year students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics with brief descriptions.
This document summarizes an article from the International Journal of Computer Engineering and Technology (IJCET) that proposes a new protocol called MP-ECCNL to address coverage and connectivity issues in randomly deployed wireless sensor networks. The protocol aims to maximize network lifetime by optimizing routing through multi-hop transmissions while efficiently utilizing network resources. The article reviews related work on coverage and connectivity techniques, presents a problem formulation for modeling coverage and connectivity requirements, and describes how MP-ECCNL was tested against LEACH and found to better maintain coverage and connectivity over large-scale networks, extending lifetime.
This document summarizes research on photovoltaic structures using thermally evaporated tin sulfide thin films. Key points:
- Tin sulfide films were deposited by thermal evaporation onto glass substrates in thicknesses ranging from 100-300nm.
- The films exhibited n-type conductivity at low thicknesses, transitioning to p-type at higher thicknesses. Bandgaps ranged from 2.1-1.7eV.
- CdS/SnS photovoltaic cells showed open circuit voltages up to 400mV, short circuit current densities up to 0.061mA/cm2, and conversion efficiencies up to 1.49% under 106mW/cm2 illumination.
This document lists over 80 potential cloud computing project titles and provides contact information for Richbrain Technologies, which offers IEEE final year projects. It includes projects related to load balancing, security, data storage, streaming, and other cloud computing topics. Students can contact Richbrain via the provided mobile number or email to obtain more details on specific projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE final year student projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE student projects.
The document lists 80 potential cloud computing project titles for students pursuing their B.E, B.Tech, M.E or M.Tech degrees. It provides contact information for Richbrain Technologies, an organization that assists with IEEE final year projects. The projects cover topics like load balancing, data security, resource management, and other technical aspects of cloud computing.
This document lists contact information and IEEE project titles from Richbrain Technologies. It provides titles for 38 IEEE projects related to mobile computing, ranging from efficient rekeying frameworks for secure multicast with mobile users to adaptive position update for geographic routing in mobile ad hoc networks. Contact details are provided to obtain more information about the IEEE projects.
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles related to cloud computing, data mining, parallel distribution, and mobile computing. Students can contact Richbrain Technologies via phone or email to receive project guidance and assistance on topics such as load balancing in clouds, data mining algorithms, distributed systems, and routing protocols for mobile ad hoc networks.
This document lists contact information for Richbrain Technologies and describes that they provide IEEE final year projects for students in areas such as cloud computing and data mining. It provides titles and short descriptions of over 50 sample projects that students can select for their final year studies. The document aims to help students find and contact Richbrain to undertake an IEEE final year project.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including mobile computing, cloud computing, data mining, and more. It contains over 40 project titles in each area along with contact details for the company that provides these projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains such as cloud computing, data mining, parallel distribution, mobile computing, networking, and network security. It contains over 100 potential project titles that students can choose from for their B.E., B.Tech, M.E or M.Tech degrees. Contact is provided via mobile number and email for students to learn more.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several domains including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final sem be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final sem me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final year me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students csee,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, security, and algorithms. Contact details are given at the top and bottom for students to reach out regarding the projects.
2013 2014 ieee final sem students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies provides IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It lists over 40 project titles in each of these areas and provides contact details to get in touch for these 2013-2014 IEEE final year student projects.
2013 2014 ieee final sem students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different categories like parallel distribution systems, cloud computing, data mining etc.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE final year student projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE student projects.
The document lists 80 potential cloud computing project titles for students pursuing their B.E, B.Tech, M.E or M.Tech degrees. It provides contact information for Richbrain Technologies, an organization that assists with IEEE final year projects. The projects cover topics like load balancing, data security, resource management, and other technical aspects of cloud computing.
This document lists contact information and IEEE project titles from Richbrain Technologies. It provides titles for 38 IEEE projects related to mobile computing, ranging from efficient rekeying frameworks for secure multicast with mobile users to adaptive position update for geographic routing in mobile ad hoc networks. Contact details are provided to obtain more information about the IEEE projects.
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles related to cloud computing, data mining, parallel distribution, and mobile computing. Students can contact Richbrain Technologies via phone or email to receive project guidance and assistance on topics such as load balancing in clouds, data mining algorithms, distributed systems, and routing protocols for mobile ad hoc networks.
This document lists contact information for Richbrain Technologies and describes that they provide IEEE final year projects for students in areas such as cloud computing and data mining. It provides titles and short descriptions of over 50 sample projects that students can select for their final year studies. The document aims to help students find and contact Richbrain to undertake an IEEE final year project.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including mobile computing, cloud computing, data mining, and more. It contains over 40 project titles in each area along with contact details for the company that provides these projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains such as cloud computing, data mining, parallel distribution, mobile computing, networking, and network security. It contains over 100 potential project titles that students can choose from for their B.E., B.Tech, M.E or M.Tech degrees. Contact is provided via mobile number and email for students to learn more.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several domains including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final sem be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final sem me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final year me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students csee,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, security, and algorithms. Contact details are given at the top and bottom for students to reach out regarding the projects.
2013 2014 ieee final sem students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies provides IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It lists over 40 project titles in each of these areas and provides contact details to get in touch for these 2013-2014 IEEE final year student projects.
2013 2014 ieee final sem students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different categories like parallel distribution systems, cloud computing, data mining etc.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Presentation of the OECD Artificial Intelligence Review of Germany
2013 2014 ieee final year students cse,it dotnet project titles
1. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH.
Contact Mobile: (0) 9849539085
Contact Email: richbraintech@gmail.com
PARLLEL DISTRIBUTION
1. Lightweight Location Verification Algorithms for Wireless Sensor
Networks
2. Heterogeneous Resource Allocation under Degree Constraints
3. Harnessing the Cloud for Securely Outsourcing Large-Scale Systems
of Linear Equations
4. GKAR: A Novel Geographic K-Anycast Routing for Wireless Sensor
Networks
5. Error-Tolerant Resource Allocation and Payment Minimization for
Cloud System
6. Dynamic Resource Allocation Using Virtual Machines for Cloud
Computing Environment
7. Dynamic Optimization of Multiattribute Resource Allocation in Self-
Organizing Clouds
8. BAHG: Back-Bone-Assisted Hop Greedy Routing for VANET’s City
Environments
9. ASAP: An Adaptive Sampling Approach to Data Collection in Sensor
Networks
10.A New Progressive Algorithm for a Multiple Longest Common
Subsequences Problem and Its Efficient Parallelization
11.A General Framework for Efficient Continuous Multidimensional
Top-k Query Processing in Sensor Networks
2. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH.
Contact Mobile: (0) 9849539085
Contact Email: richbraintech@gmail.com
PARLLEL DISTRIBUTION
12.A Secure Payment Scheme with Low Communication and
Processing Overhead for Multihop Wireless Networks
13.Multicast Capacity in MANET with Infrastructure Support
14.SPOC: A Secure and Privacy-Preserving Opportunistic Computing
Framework for Mobile-Healthcare Emergency
15.Enabling Data Dynamic and Indirect Mutual Trust for Cloud
Computing Storage Systems.
16.A Secure Protocol for Spontaneous Wireless Ad Hoc Networks
Creation
17.IP-Geolocation Mapping for Moderately Connected Internet Regions
18.Optimal Client-Server Assignment for Internet Distributed Systems
3. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
Contact Email: richbraintech@gmail.com
CLOUD COMPUITNG
1. A Load Balancing Model Based on Cloud Partitioning for the Public
Cloud
2. Privacy-Preserving Public Auditing for Secure Cloud Storage
3. Scalable and Secure Sharing of Personal Health Records in Cloud
Computing Using Attribute-Based Encryption
4. Enabling Dynamic Data and Indirect Mutual Trust for Cloud
Computing Storage Systems
5. CloudMoV: Cloud-based Mobile Social TV
6. Privacy Preserving Delegated Access Control in Public Clouds.
7. Attribute-based Access to Scalable Media in Cloud-assisted Content
Sharing Networks.
8. A Privacy Leakage Upper Bound Constraint-Based Approach for
Cost-Effective Privacy Preserving of Intermediate Data Sets in
Cloud
9. An Adaptive Cloud Downloading Service
10.Enabling Dynamic Data and Indirect Mutual Trust for Cloud
Computing Storage Systems
11.Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the
Cloud
12.On Data Staging Algorithms for Shared Data Accesses in Clouds
4. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
Contact Mobile: (0) 9849539085
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CLOUD COMPUITNG
13. Optimal Multiserver Configuration for Profit Maximization in Cloud
Computing
14.Privacy-Preserving Public Auditing for Secure Cloud Storage
15.QoS Ranking Prediction for Cloud Services
16.Scalable and Secure Sharing of Personal Health Records in Cloud
Computing Using Attribute-Based Encryption
17.Toward Fine-Grained, Unsupervised, Scalable Performance
Diagnosis for Production Cloud Computing Systems
18.Towards Secure Multi-Keyword Top-k Retrieval over Encrypted
Cloud Data
19.A Hierarchical Approach for the Resource Management of Very
Large Cloud Platforms
20.Using Cloud Computing to Implement a Security Overlay Network
21.okeanos: Building a Cloud, Cluster by Cluster
22.Design and Evaluation of a Virtual Experimental Environment for
Distributed Systems
23.Priority based dynamic resource allocation in Cloud computing with
modified waiting queue
24.SeDas: A Self-Destructing Data System Based on Active Storage
Framework
25.A Stochastic Model to Investigate Data Center Performance and
QoS in IaaS Cloud Computing Systems
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
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DATA MINING
1. A Fast Clustering-Based Feature Subset Selection Algorithm for
High Dimensional Data
2. Secure Mining of Association Rules in Horizontally Distributed
Databases.
3. A Novel Profit Maximizing Metric for Measuring Classification
Performance of Customer Churn Prediction Models
4. ELCA: Evaluation for Keyword Search on Probabilistic XML Data.
5. Change Detection in Streaming Multivariate Data Using Likelihood
Detectors
6. Evaluating Data Reliability An Evidential Answer with Application to
a Web-Enabled Data Warehouse
7. Clustering Sentence-Level Text Using a Novel Fuzzy Relational
Clustering Algorithm
8. Optimal Route Queries with Arbitrary Order Constraints
9. Failure-Aware Cascaded Suppression in Wireless Sensor Networks
10. A New Algorithm for Inferring User Search Goals with Feedback
Sessions
11.A Survey of XML Tree Patterns
12.Dynamic Personalized Recommendation on Sparse Data
13.Mining User Queries with Markov Chains: Application to Online
Image Retrieval
14.TrustedDB: A Trusted Hardware based Database with Privacy and
Data Confidentiality
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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DATA MINING
15.Automatic Semantic Content Extraction in Videos Using a Fuzzy
Ontology and Rule-Based Model
16.Distributed Processing of Probabilistic Top-k Queries in Wireless
Sensor Networks
17.Evaluating Data Reliability An Evidential Answer with Application to
a Web-Enabled Data Warehouse
18.Maximum Likelihood Estimation from Uncertain Data in the Belief
Function Framework
19.Ranking on Data Manifold with Sink Points
20.Region-Based Foldings in Process Discovery
21.Relationships between Diversity of Classification Ensembles and
Single-Class Performance Measures
22.T-Drive Enhancing Driving Directions with Taxi Drivers’ Intelligence
23.The Generalization Ability of Online Algorithms for Dependent Data
24.Clustering Sentence-Level Text Using a Novel Fuzzy Relational
Clustering Algorithm
25.Automatic Semantic Content Extraction in Videos Using a Fuzzy
Ontology and Rule-Based Model
26.A Graph-Based Consensus Maximization Approach for Combining
Multiple Supervised and Unsupervised Models
27.Ontology Matching: State of the Art and Future Challenges
28.Large Graph Analysis in the GMine System
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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DATA MINING
29.Nonadaptive Mastermind Algorithms for String and Vector
Databases, with Case Studies
30.A System to Filter Unwanted Messages from OSN User Walls
31.A Rough-Set-Based Incremental Approach for Updating
Approximations under Dynamic Maintenance Environments
32.A Proxy-Based Approach to Continuous Location-Based Spatial
Queries in Mobile Environments
33.A Generalized Flow-Based Method for Analysis of Implicit
Relationships on Wikipedia
34.AML: Efficient Approximate Membership Localization within a Web-
Based Join Framework
35.Event Tracking for Real-Time Unaware Sensitivity Analysis
36.Detecting Intrinsic Loops Underlying Data Manifold
37.Clustering Large Probabilistic Graphs
38.Anonymization of Centralized and Distributed Social Networks by
Sequential Clustering
39.Minimally Supervised Novel Relation Extraction Using a Latent
Relational Mapping
40.Finding Rare Classes: Active Learning with Generative and
Discriminative Models
41.Fast Activity Detection: Indexing for Temporal Stochastic
Automaton-Based Activity Models
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
Contact Mobile: (0) 9849539085
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MOBILE COMPUTING
1. A Neighbor Coverage-Based Probabilistic Rebroadcast for Reducing
Routing Overhead in Mobile Ad Hoc Networks
2. EAACK—A Secure Intrusion-Detection System for MANETs
3. Efficient Rekeying Framework for Secure Multicast with Diverse-
Subscription-Period Mobile Users
4. Toward Privacy Preserving and Collusion Resistance in a Location
Proof Updating System
5. Passive Duplicate Address-Detection Schemes for On-Demand
Routing Protocols in Mobile Ad Hoc Networks
6. On Quality of Monitoring for Multi-channel Wireless Infrastructure
Networks
7. Mobile Relay Configuration in Data-Intensive Wireless Sensor
Networks
8. IP-Geolocation Mapping for Moderately Connected Internet Regions
9. Efficient Rekeying Framework for Secure Multicast with Diverse-
Subscription-Period Mobile Users
10.EMAP: Expedite Message Authentication Protocol for Vehicular Ad
Hoc Networks
11.Adaptive Position Update for Geographic Routing in Mobile Ad Hoc
Networks
12.Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A
Coalitional Game Approach
13.EMAP: Expedite Message Authentication Protocol for Vehicular Ad
Hoc Networks
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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MOBILE COMPUTING
14.Optimal Multicast Capacity and Delay Tradeoffs in MANETs
15.Analysis of Distance-Based Location Management in Wireless
Communication Networks
16.Gaussian versus Uniform Distribution for Intrusion Detection in
Wireless Sensor Networks
17.Fast Channel Zapping with Destination-Oriented Multicast for IP
Video Delivery
18.Exploiting Ubiquitous Data Collection for Mobile Users in Wireless
Sensor Networks
19.Dynamic Coverage of Mobile Sensor Networks
20.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
21.Cross-Layer Design of Congestion Control and Power Control in
Fast-Fading Wireless Networks
22.Micro architecture of a Coarse-Grain Out-of-Order Superscalar
Processor
23.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
24.IDM: An Indirect Dissemination Mechanism for Spatial Voice
Interaction in Networked Virtual Environments
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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MOBILE COMPUTING
25.Delay-Optimal Broadcast for Multihop Wireless Networks Using
Self-Interference Cancellation
26.EMAP Expedite Message Authentication Protocol for Vehicular Ad
Hoc Networks
27.Power Allocation for Statistical QoS Provisioning in Opportunistic
Multi-Relay DF Cognitive Networks
28.Pulse Switching Toward a Packet-Less Protocol Paradigm for Event
Sensing
29.Quality-Differentiated Video Multicast in Multirate Wireless
Networks
30.Sink Trail A Proactive Data Reporting Protocol for Wireless Sensor
Networks
31.Target Tracking and Mobile Sensor Navigation in Wireless Sensor
Networks
32.Evaluating Temporal Robustness of Mobile Networks
33.A Resource Allocation Scheme for Scalable Video Multicast in
WiMAX Relay Networks
34.Toward Privacy Preserving and Collusion Resistance in a Location
Proof Updating System
35.SSD: A Robust RF Location Fingerprint Addressing Mobile Devices’
Heterogeneity
36.An Investigation on LTE Mobility Management
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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MOBILE COMPUTING
37.On Exploiting Transient Social Contact Patterns for Data Forwarding
in Delay-Tolerant Networks
38.Channel Allocation and Routing in Hybrid Multichannel Multiradio
Wireless Mesh Networks
39.On the Real-Time Hardware Implementation Feasibility of Joint
Radio Resource Management Policies for Heterogeneous Wireless
Networks
40.Simple Hybrid and Incremental Postpruning Techniques for Rule
Induction
41.Supporting Search-As-You-Type Using SQL in Databases
42.Reinforced Similarity Integration in Image-Rich Information
Networks
43.Autonomous Sensing Order Selection Strategies Exploiting Channel
Access Information
44.Mobile Relay Configuration in Data-Intensive Wireless Sensor
Networks
45.Toward a Statistical Framework for Source Anonymity in Sensor
Networks
46.On Centralized and Localized Approximation Algorithms for
Interference-Aware Broadcast Scheduling
47.Model-Based Analysis of Wireless System Architectures for Real-
Time Applications
48.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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MOBILE COMPUTING
49.Vampire Attacks: Draining Life from Wireless Ad Hoc Sensor
Networks
50.Group-Based Medium Access Control for IEEE 802.11n Wireless
LANs
51.Discovery and Verification of Neighbor Positions in Mobile Ad Hoc
Networks
52.A Secure Payment Scheme with Low Communication and
Processing Overhead for Multihop Wireless Networks
53.A Scalable Server Architecture for Mobile Presence Services in
Social Network Applications
54.Secure Communication Based on Ambient Audio
55.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
56.Cross-Layer Design of Congestion Control and Power Control in
Fast-Fading Wireless Networks
57.Coloring-Based Inter-WBAN Scheduling for Mobile Wireless Body
Area Networks
58.Cluster-Based Certificate Revocation with Vindication Capability for
Mobile Ad Hoc Networks
59.Analysis of Distance-Based Location Management in Wireless
Communication Networks
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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MOBILE COMPUTING
60.Gaussian versus Uniform Distribution for Intrusion Detection in
Wireless Sensor Networks
61.Fast Channel Zapping with Destination-Oriented Multicast for IP
Video Delivery
62.Exploiting Ubiquitous Data Collection for Mobile Users in Wireless
Sensor Networks
63.Dynamic Coverage of Mobile Sensor Networks
64.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
65.Cross-Layer Design of Congestion Control and Power Control in
Fast-Fading Wireless Networks
66.Micro architecture of a Coarse-Grain Out-of-Order Superscalar
Processor
67.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
68.IDM: An Indirect Dissemination Mechanism for Spatial Voice
Interaction in Networked Virtual Environments
14. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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NETWORKING
1. PACK: Prediction-Based Cloud Bandwidth and Cost Reduction
System
2. Novel Packet-Level Resource Allocation with Effective QoS
Provisioning for Wireless Mesh Networks
3. Exploring the Design Space of Multichannel Peer-to-Peer Live Video
Streaming Systems
4. Diffusion Dynamics of Network Technologies With Bounded
Rational Users: Aspiration-Based Learning
5. Delay-Based Network Utility Maximization
6. Answering “What-If” Deployment and Configuration Questions With
WISE: Techniques and Deployment Experience
7. An Empirical Interference Modeling for Link Reliability Assessment
in Wireless Networks
8. A Rank Correlation Based Detection against Distributed Reflection
DoS Attacks
9. A Distributed Control Law for Load Balancing in Content Delivery
Networks
10.A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor
Networks
11.An Efficient and Robust Addressing Protocol for Node Auto
configuration in Ad Hoc Networks
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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NETWORKING
12.BAHG: Back-Bone-Assisted Hop Greedy Routing for VANET’s City
Environments
13.Efficient Algorithms for Neighbor Discovery in Wireless Networks
14. Localization of Wireless Sensor Networks in the Wild: Pursuit of
Ranging Quality
15.Resource Allocation for QoS Support in Wireless Mesh Networks
16.On the Delivery Probability of Two-Hop Relay MANETs with Erasure
Coding
17.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
18.A Data Fusion Technique for Wireless Ranging Performance
Improvement
19.Harvesting-Aware Energy Management for Time-Critical Wireless
Sensor Networks With Joint Voltage and Modulation Scaling
20.Importance of Coherence Protocols with Network Applications on
Multicore Processors
21.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
22.Modeling and Optimizing the Performance- Security Tradeoff on D-
NCS Using the Coevolutionary Paradigm
23.Receiver-Driven Adaptive Enhancement Layer Switching Algorithm
for Scalable Video Transmission Over Link-adaptive Networks
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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SERVICE COMPUTING
1. Privacy-Enhanced Web Service Composition
2. Enforcing Secure and Privacy-Preserving Information Brokering in
Distributed Information Sharing
3. NICE: Network Intrusion Detection and Countermeasure Selection in
Virtual Network Systems
4. Document Clustering for Forensic Analysis: An Approach for Improving
Computer Inspection
5. A Decentralized Service Discovery Approach on Peer-to-Peer Networks
6. Personalized QoS-Aware Web Service Recommendation and Visualization
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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IMAGE PROCESSING
1. Query-Adaptive Image Search With Hash Codes
2. Reversible Data Hiding With Optimal Value Transfer
3. Reversible Watermarking Based on Invariant Image Classification and
Dynamic Histogram Shifting
4. Local Directional Number Pattern for Face Analysis: Face and
Expression Recognition
5. Noise Reduction Based on Partial-Reference, Dual-Tree Complex
Wavelet Transform Shrinkage
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
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SECURE COMPUTING
1. A Rank Correlation Based Detection against Distributed Reflection
DoS Attacks.
2. EAACK—A Secure Intrusion-Detection System for MANETs
3. Enforcing Secure and Privacy-Preserving Information Brokering in
Distributed Information Sharing
4. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
5. Privacy Preserving Data Sharing With Anonymous ID Assignment
6. SORT: A Self-ORganizing Trust Model for Peer-to-Peer Systems
7. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
8. Securing Class Initialization in Java-like Languages
9. Security Analysis of a Single Sign-On Mechanism for Distributed
Computer Networks
10.WARNINGBIRD: A Near Real-time Detection System for Suspicious
URLs in Twitter Stream