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.
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.
2013 2014 ieee final year students 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 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.
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.
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.
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.
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.
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.
2013 2014 ieee final year students 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 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.
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.
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.
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.
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
2013 2014 ieee final year students me,mtech 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
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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
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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
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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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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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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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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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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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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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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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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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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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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
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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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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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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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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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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