The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for students interested in the 2013-2014 IEEE projects.
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
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 lists over 50 IEEE final year projects from various domains including cloud computing, data mining, parallel distribution, and mobile computing. It provides contact information for Richbrain Technologies, which offers these projects. Titles and brief descriptions of projects in each domain are provided.
This document lists over 80 potential cloud computing project titles and topics available from Richbrain Technologies for engineering students. It provides contact information including a mobile number and email for students to reach out about the projects. The projects cover various aspects of cloud computing including load balancing, security, data storage, streaming, and more.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including cloud computing, data mining, and wireless networks. It contains over 65 project titles in cloud computing and over 30 titles in data mining that students can use for their B.E., B.Tech., M.E. or M.Tech final year projects. Students can contact Richbrain Technologies via the provided mobile number or email for more details on these 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 IEEE project options.
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for students interested in the 2013-2014 IEEE projects.
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
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 lists over 50 IEEE final year projects from various domains including cloud computing, data mining, parallel distribution, and mobile computing. It provides contact information for Richbrain Technologies, which offers these projects. Titles and brief descriptions of projects in each domain are provided.
This document lists over 80 potential cloud computing project titles and topics available from Richbrain Technologies for engineering students. It provides contact information including a mobile number and email for students to reach out about the projects. The projects cover various aspects of cloud computing including load balancing, security, data storage, streaming, and more.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including cloud computing, data mining, and wireless networks. It contains over 65 project titles in cloud computing and over 30 titles in data mining that students can use for their B.E., B.Tech., M.E. or M.Tech final year projects. Students can contact Richbrain Technologies via the provided mobile number or email for more details on these 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 IEEE project options.
This document lists contact information and IEEE final year project titles from Richbrain Technologies. It provides titles for projects in areas such as wireless sensor networks, cloud computing, data mining and more. Contact details are provided to obtain more information about the projects.
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.
2013 2014 ieee be btech me mtech dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 be btech me mtech java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for students to learn more about the projects and contact Richbrain Technologies.
2013 2014 ieee final year students cse,it dotnet projects richbrain technolo...RICHBRAINPROJECTS
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 java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
2013 2014 ieee final year be btech me mtech dotnet projects richbrain techno...RICHBRAINPROJECTS
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.
2013 2014 ieee final year students mca java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
2013 2014 ieee final year students mca dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 provides information about IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile phone or email to discuss available 2013-2014 IEEE final year student projects.
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
Ieee 2013 2014 final year students mca java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
Ieee 2013 2014 final year students cse,it dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 technology areas.
Ieee 2013 2014 final year students cse,it java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile phone or email to discuss available 2013-2014 IEEE final year student projects.
Ieee 2013 2014 final year be btech me mtech java projects richbrain technolo...RICHBRAINPROJECTS
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles in the areas of cloud computing, data mining, and parallel distribution. It includes mobile and email contacts and describes the projects as being for students in engineering fields seeking BE, BTech, ME, or MTech degrees.
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.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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).
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
This document lists contact information and IEEE final year project titles from Richbrain Technologies. It provides titles for projects in areas such as wireless sensor networks, cloud computing, data mining and more. Contact details are provided to obtain more information about the projects.
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.
2013 2014 ieee be btech me mtech dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 be btech me mtech java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for students to learn more about the projects and contact Richbrain Technologies.
2013 2014 ieee final year students cse,it dotnet projects richbrain technolo...RICHBRAINPROJECTS
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 java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
2013 2014 ieee final year be btech me mtech dotnet projects richbrain techno...RICHBRAINPROJECTS
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.
2013 2014 ieee final year students mca java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
2013 2014 ieee final year students mca dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 provides information about IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile phone or email to discuss available 2013-2014 IEEE final year student projects.
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
Ieee 2013 2014 final year students mca java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
Ieee 2013 2014 final year students cse,it dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 technology areas.
Ieee 2013 2014 final year students cse,it java projects richbrain technologiesRICHBRAINPROJECTS
The document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile phone or email to discuss available 2013-2014 IEEE final year student projects.
Ieee 2013 2014 final year be btech me mtech java projects richbrain technolo...RICHBRAINPROJECTS
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles in the areas of cloud computing, data mining, and parallel distribution. It includes mobile and email contacts and describes the projects as being for students in engineering fields seeking BE, BTech, ME, or MTech degrees.
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.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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).
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
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.
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
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
SAP S/4 HANA sourcing and procurement to Public cloud
2013 2014 ieee final year be be btech me mtech java projects richbrain technologies
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 FINAL YEAR PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 JAVA 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 COMPUTING
1. A Load Balancing Model Based on Cloud Partitioning for the Public Cloud
2. Privacy-Preserving Public Auditing for Secure Cloud Storage
3. Winds of Change From Vendor Lock-In to the Meta Cloud.
4. Cloud computing for mobile users can offloading compution save energy.
5. On Data Staging Algorithms for Shared Data Accesses in Clouds
6. Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing
Storage Systems
7. AMES-Cloud: A Framework of Adaptive Mobile Video Streaming and
Efficient Social Video Sharing in the Clouds
8. CloudMoV: Cloud-based Mobile Social TV
9. QoS Ranking Prediction for Cloud Services
10.Privacy-Preserving Public Auditing for Secure Cloud Storage
11.A Stochastic Model to Investigate Data Center Performance and QoS in
IaaS Cloud Computing Systems
12.Privacy-Preserving Public Auditing for Secure Cloud Storage
13.Scalable and Secure Sharing of Personal Health Records in Cloud
Computing Using Attribute-Based Encryption
14.QoS Guarantees and Service Differentiation for Dynamic Cloud
Applications
15.An Adaptive Cloud Downloading Service
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
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CLOUD COMPUTING
16.Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing
Storage Systems
17.Performance Analysis of Multiuser Selection Scheme in Dynamic Home
Area Networks for Smart Grid Communications
18.Towards Secure Multi-Keyword Top-k Retrieval over Encrypted Cloud Data
19.Decentralized Controls and Communications for Autonomous Distribution
Networks in Smart Grid
20. Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of
Linear Equations
21.Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud
22.PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System
23.Simple and Effective Dynamic Provisioning for Power-Proportional Data
Centers
24.A Hierarchical Approach for the Resource Management of Very Large Cloud
Platforms
25.Using Cloud Computing to Implement a Security Overlay Network
26.okeanos: Building a Cloud, Cluster by Cluster
27.Design and Evaluation of a Virtual Experimental Environment for
Distributed Systems
28.Priority based dynamic resource allocation in Cloud computing with
modified waiting queue
29.SeDas: A Self-Destructing Data System Based on Active Storage
Framework
30.Cloud-Based Software Platform For Big Data Analytics In Smart Grids
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DATA MINING
1. A Fast Clustering-Based Feature Subset Selection Algorithm for High
Dimensional Data
2. A Framework for Mining Signatures from Event Sequences and Its
Applications in Healthcare Data
3. A Novel Profit Maximizing Metric for Measuring Classification Performance
of Customer Churn Prediction Models
4. A Survey of XML Tree Patterns
5. Change Detection in Streaming Multivariate Data Using Likelihood Detectors
6. Dynamic Personalized Recommendation on Sparse Data
7. Mining User Queries with Markov Chains: Application to Online Image
Retrieval
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.Annotating Search Results from Web Databases
12.Anomaly Detection via Online Over-Sampling Principal Component Analysis
13.Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor
Networks
14.m-Privacy for Collaborative Data Publishing
15.Protecting Sensitive Labels in Social Network Data Anonymization
16.Tweet Analysis for Real-Time Event Detection and Earthquake
17.Reporting System Development
18.New Avenues in Opinion Mining and Sentiment Analysis
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DATA MINING
19.The Minimum Consistent Subset Cover Problem: A Minimization View of
Data Mining
20.A Framework for Mining Signatures from Event Sequences and Its
Applications in Healthcare Data
21.TrustedDB: A Trusted Hardware Based Database with Privacy and Data
Confidentiality
22.Mining User Queries with Markov Chains: Application to Online Image
Retrieval
23.PMSE: A Personalized Mobile Search Engine
24.Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology
and Rule-Based Model
25.Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor
Networks
26.Evaluating Data Reliability An Evidential Answer with Application to a Web-
Enabled Data Warehouse
27.Maximum Likelihood Estimation from Uncertain Data in the Belief Function
Framework
28.Ranking on Data Manifold with Sink Points
29.Region-Based Foldings in Process Discovery
30.Relationships between Diversity of Classification Ensembles and Single-
Class Performance Measures
31.T-Drive Enhancing Driving Directions with Taxi Drivers’ Intelligence
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DATA MINING
32.The Generalization Ability of Online Algorithms for Dependent Data
33.Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering
Algorithm
34.Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology
and Rule-Based Model
35.A Graph-Based Consensus Maximization Approach for Combining Multiple
Supervised and Unsupervised Models
36.Ontology Matching: State of the Art and Future Challenges
37.Large Graph Analysis in the GMine System
38.Nonadaptive Mastermind Algorithms for String and Vector Databases, with
Case Studies
39.Nonadaptive Mastermind Algorithms for String and Vector Databases, with
Case Studies
40.A System to Filter Unwanted Messages from OSN User Walls
41.A Rough-Set-Based Incremental Approach for Updating Approximations
under Dynamic Maintenance Environments
42.A Proxy-Based Approach to Continuous Location-Based Spatial Queries in
Mobile Environments
43.A Generalized Flow-Based Method for Analysis of Implicit Relationships on
Wikipedia
44.AML: Efficient Approximate Membership Localization within a Web-Based
Join Framework
45.Event Tracking for Real-Time Unaware Sensitivity Analysis
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DATA MINING
46.Detecting Intrinsic Loops Underlying Data Manifold
47.Clustering Large Probabilistic Graphs
48.Anonymization of Centralized and Distributed Social Networks by Sequential
Clustering
49.Minimally Supervised Novel Relation Extraction Using a Latent Relational
Mapping
50.Finding Rare Classes: Active Learning with Generative and Discriminative
Models
51.Fast Activity Detection: Indexing for Temporal Stochastic Automaton-Based
Activity Models
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PARLLEL DISTRIBUTION
1. IP-Geolocation Mapping for Moderately Connected Internet Regions
2. A Secure Protocol for Spontaneous Wireless Ad Hoc Networks Creation
3. Analysis of Distance-Based Location Management in Wireless
Communication Networks.
4. Dynamic Resource Allocation Using Virtual Machines for Cloud Computing
Environment
5. Dynamic Optimization of Multiattribute Resource Allocation in Self-
Organizing Clouds
6. BAHG: Back-Bone-Assisted Hop Greedy Routing for VANET’s City
Environments
7. Towards Differential Query Services in Cost-Efficient Clouds.
8. A Privacy Leakage Upper-bound Constraint based Approach for Cost-
effective Privacy Preserving of Intermediate Datasets in Cloud.
9. Enabling Data Dynamic and Indirect Mutual Trust for Cloud Computing
Storage Systems.
10.ASAP: An Adaptive Sampling Approach to Data Collection in Sensor
Networks.
11.A Secure Protocol for Spontaneous Wireless Ad Hoc Networks Creation
12.Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing
Storage Systems
13.IP-Geolocation Mapping for Moderately Connected Internet Regions
14.Optimal Client-Server Assignment for Internet Distributed Systems
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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. Vampire attacks: Draining life from wireless ad-hoc sensor networks.
4. Towards a Statistical Framework for Source Anonymity in Sensor
Networks
5. Relay Selection for Geographical Forwarding in Sleep-Wake Cycling
Wireless Sensor Networks
6. Passive Duplicate Address-Detection Schemes for On-Demand Routing
Protocols in Mobile Ad Hoc Networks
7. On Quality of Monitoring for Multi-channel Wireless Infrastructure
Networks
8. Mobile Relay Configuration in Data-Intensive Wireless Sensor Networks
9. IP-Geolocation Mapping for Moderately Connected Internet Regions
10.Efficient Rekeying Framework for Secure Multicast with Diverse-
Subscription-Period Mobile Users
11.EMAP: Expedite Message Authentication Protocol for Vehicular Ad Hoc
Networks
12. Adaptive Position Update for Geographic Routing in Mobile Ad Hoc
Networks
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MOBILE COMPUTING
13.DCIM: Distributed Cache Invalidation Method for Maintaining Cache
Consistency in Wireless Mobile Networks
14.Adaptive Position Update for Geographic Routing in Mobile Ad Hoc
Networks
15.Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A
Coalitional Game Approach
16.Content Sharing over Smartphone-Based Delay-Tolerant Networks
17. Discovery and Verification of Neighbor Positions in Mobile Ad Hoc
Networks
18.Capacity of Hybrid Wireless Mesh Networks with Random APs
19.Channel Assignment for Throughput Optimization in Multichannel
Multiradio Wireless Mesh Networks Using Network Coding
20.Delay-Optimal Broadcast for Multihop Wireless Networks Using Self-
Interference Cancellation
21.EMAP Expedite Message Authentication Protocol for Vehicular Ad Hoc
Networks
22.Power Allocation for Statistical QoS Provisioning in Opportunistic Multi-
Relay DF Cognitive Networks
23.Pulse Switching Toward a Packet-Less Protocol Paradigm for Event
Sensing
24.Quality-Differentiated Video Multicast in Multirate Wireless Networks
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MOBILE COMPUTING
25.Sink Trail A Proactive Data Reporting Protocol for Wireless Sensor
Networks
26.Target Tracking and Mobile Sensor Navigation in Wireless Sensor
Networks
27.Evaluating Temporal Robustness of Mobile Networks
28.A Resource Allocation Scheme for Scalable Video Multicast in WiMAX Relay
Networks
29.Toward Privacy Preserving and Collusion Resistance in a Location Proof
Updating System
30.SSD: A Robust RF Location Fingerprint Addressing Mobile Devices’
Heterogeneity
31.An Investigation on LTE Mobility Management
32.On Exploiting Transient Social Contact Patterns for Data Forwarding in
Delay-Tolerant Networks
33.Channel Allocation and Routing in Hybrid Multichannel Multiradio Wireless
Mesh Networks
34.On the Real-Time Hardware Implementation Feasibility of Joint Radio
Resource Management Policies for Heterogeneous Wireless Networks
35.Simple Hybrid and Incremental Postpruning Techniques for Rule Induction
36.Supporting Search-As-You-Type Using SQL in Databases
37.Reinforced Similarity Integration in Image-Rich Information Networks
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MOBILE COMPUTING
38.Autonomous Sensing Order Selection Strategies Exploiting Channel Access
Information
39.Mobile Relay Configuration in Data-Intensive Wireless Sensor Networks
40.Toward a Statistical Framework for Source Anonymity in Sensor Networks
41.On Centralized and Localized Approximation Algorithms for Interference-
Aware Broadcast Scheduling
42.Model-Based Analysis of Wireless System Architectures for Real-Time
Applications
43.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
44.Vampire Attacks: Draining Life from Wireless Ad Hoc Sensor Networks
45.Group-Based Medium Access Control for IEEE 802.11n Wireless LANs
46.Discovery and Verification of Neighbor Positions in Mobile Ad Hoc
Networks
47.A Secure Payment Scheme with Low Communication and Processing
Overhead for Multihop Wireless Networks
48.A Scalable Server Architecture for Mobile Presence Services in Social
Network Applications
49.Secure Communication Based on Ambient Audio
50.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
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MOBILE COMPUTING
51.Cross-Layer Design of Congestion Control and Power Control in Fast-
Fading Wireless Networks
52.Coloring-Based Inter-WBAN Scheduling for Mobile Wireless Body Area
Networks
53.Cluster-Based Certificate Revocation with Vindication Capability for Mobile
Ad Hoc Networks
54.Analysis of Distance-Based Location Management in Wireless
Communication Networks
55.Gaussian versus Uniform Distribution for Intrusion Detection in Wireless
Sensor Networks
56.Fast Channel Zapping with Destination-Oriented Multicast for IP Video
Delivery
57.Exploiting Ubiquitous Data Collection for Mobile Users in Wireless Sensor
Networks
58.Dynamic Coverage of Mobile Sensor Networks
59.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
60.Cross-Layer Design of Congestion Control and Power Control in Fast-
Fading Wireless Networks
61.Micro architecture of a Coarse-Grain Out-of-Order Superscalar Processor
62.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
63.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. Localization of Wireless Sensor Networks in the Wild: Pursuit of
Ranging Quality
4. Exploring the Design Space of Multichannel Peer-to-Peer Live Video
Streaming Systems
5. Efficient Algorithms for Neighbor Discovery in Wireless Networks
6. Diffusion Dynamics of Network Technologies With Bounded
Rational Users: Aspiration-Based Learning
7. Answering “What-If” Deployment and Configuration Questions With
WISE: Techniques and Deployment Experience
8. An Empirical Interference Modeling for Link Reliability Assessment
in Wireless Networks
9. An Efficient and Robust Addressing Protocol for Node
Autoconfiguration in Ad Hoc Networks
10.A Rank Correlation Based Detection against Distributed Reflection
DoS Attacks
11.Optimizing Cloud Resources for Delivering IPTV Services through
Virtualization.
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NETWORKING
12. Participatory Privacy Enabling Privacy in Participatory Sensing.
13.A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor
Networks
14.Delay-Based Network Utility Maximization
15.Dynamic Control of Coding for Progressive Packet Arrivals in DTNs
16.A Distributed Control Law for Load Balancing in Content Delivery
Networks
17.Resource Allocation for QoS Support in Wireless Mesh Networks
18.Efficient Algorithms for Neighbor Discovery in Wireless Networks
19.Localization of Wireless Sensor Networks in the Wild: Pursuit of
Ranging Quality
20.A Decentralized Service Discovery Approach on Peer-to-Peer
Networks
21.PACK: Prediction-Based Cloud Bandwidth and Cost Reduction
System
22.Multicast Capacity in MANET with Infrastructure Support
23.Max-Flow Min-Cost Routing in a Future-Internet with Improved
QoS Guarantees
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NETWORKING
24.On the Delivery Probability of Two-Hop Relay MANETs with Erasure
Coding
25.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
26.A Data Fusion Technique for Wireless Ranging Performance
Improvement
27.Harvesting-Aware Energy Management for Time-Critical Wireless
Sensor Networks With Joint Voltage and Modulation Scaling
28.Importance of Coherence Protocols with Network Applications on
Multicore Processors
29.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
30.Modeling and Optimizing the Performance- Security Tradeoff on D-
NCS Using the Coevolutionary Paradigm
31.Receiver-Driven Adaptive Enhancement Layer Switching Algorithm
for Scalable Video Transmission Over Link-adaptive Networks
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NETWORKSECURITY
1. A Secure Protocol for Spontaneous Wireless Ad Hoc Networks
Creation
2. A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor
Networks
3. SORT: A Self-ORganizing Trust Model for Peer-to-Peer Systems
4. Privacy Preserving Data Sharing With Anonymous ID Assignment
5. Identity-Based Secure Distributed Data Storage Schemes
6. NICE: Network Intrusion Detection and Countermeasure Selection
in Virtual Network Systems
7. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
8. Distance Bounding A Practical Security Solution for Real-Time
Location Systems
9. EAACK—A Secure Intrusion-Detection System for MANETs
10.Security Analysis of a Single Sign-On Mechanism for Distributed
Computer Networks
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IMAGE PROCESSING
1. Fuzzy C-Means Clustering With Local Information and Kernel Metric for
Image Segmentation
2. Framework for image retrieval using machine learning and statistical
similarity matching techniques
3. De-noising MRI Using Spectral Subtraction
4. Mining Semantic Context Information for Intelligent Video Surveillance of
Traffic Scenes
5. Super-Resolution-based Inpainting.
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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. Enforcing Secure and Privacy-Preserving Information Brokering in
Distributed Information Sharing
6. A Decentralized Service Discovery Approach on Peer-to-Peer
Networks
7. Personalized QoS-Aware Web Service Recommendation and
Visualization
8. Privacy-Enhanced Web Service Composition
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SECURE COMPUTING
1. CAM: Cloud-Assisted Privacy Preserving Mobile Health Monitoring.
2. Secure Encounter-based Mobile Social Networks Requirements
Designs and Tradeoffs.
3. Two tales of privacy in online social networks.
4. EAACK—A Secure Intrusion-Detection System for MANETs
5. Identity-Based Secure Distributed Data Storage Schemes
6. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
7. NICE: Network Intrusion Detection and Countermeasure Selection
in Virtual Network Systems
8. Privacy Preserving Data Sharing With Anonymous ID Assignment
9. Securing Class Initialization in Java-like Languages
10.Security Analysis of a Single Sign-On Mechanism for Distributed
Computer Networks
11.SORT: A Self-ORganizing Trust Model for Peer-to-Peer Systems
12.WARNINGBIRD: A Near Real-time Detection System for Suspicious
URLs in Twitter Stream