Efficiency and Effectiveness: Shared services to support STEM subjects
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The VRE-CI project is funded by JISC to provide a framework for researchers and clinicians involved in cancer imaging to share information, images, and algorithms. The project will develop a module for cancer imaging that allows sharing of DICOM images and image processing algorithms through scientific workflows and web services. It will also include an image viewer using DeepZoom technology and functionality for loading images securely while maintaining appropriate levels of anonymity.
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GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
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Research areas towards Adaptive Seamless Multimedia Communications are: Knowledge & Educational Technologies, Multimedia Technologies & Serious Games, Mobile Systems & Sensor Networks, Self-organizing Systems & Overlay Communications, Service-oriented Computing
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There is a digital revolution happening right before our eyes, the way we communicate is rapidly changing dues to rapid technological advances. Pencil and paper communication is drastically reducing and being replaced with newer communication medium ranging from emails to sms/mms and other instant messaging services. Information/news used to be broadcasted only through official and dedicated channels such as television, radio or newspapers. The technology available today allows every single one of us to be individual information broadcasters whether through text, image or video using our personal connected mobile device. In effect, the current trend shows that video will soon become the most important media on the Internet. While the amount of multimedia content continuously increases there is still progress to be done for automatically understanding multimedia documents in order to provide means to index, search and browse them more effectively. The objectives of this chapter are three-fold. First, we will motivate multimedia content modeling research in the current technological context. Secondly, a broad state of the art will provide the reader with a brief overview of the methodological trends of the field. Thirdly, a bird eye view of the various research themes I have supervised and/or conducted will be presented and will expose how contextual information has become an important additional source of information for multimedia content understanding.
Integrated research data management in the Structural Sciences
A presentation given by Manjula Patel (UKOLN, University of Bath) at the I2S2 workshop "Scaling Up to Integrated Research Data Management", IDCC 2010, 6th December 2010, Chicago.
http://www.ukoln.ac.uk/projects/I2S2/events/IDCC-2010-ScalingUp-Wksp/
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Multimedia Communications Lab (KOM) - TU Darmstadt - Research Overview
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International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
A Reconfigurable Component-Based Problem Solving Environment
This technical report describes a reconfigurable component-based problem solving environment called DISCWorld. The key features discussed are:
1) DISCWorld uses a data flow model represented as directed acyclic graphs (DAGs) of operators to integrate distributed computing components across networks.
2) It supports both long running simulations and parameter search applications by allowing complex processing requests to be composed graphically or through scripting and executed on heterogeneous platforms.
3) Operators can be simple "pure Java" implementations or wrappers to fast platform-specific implementations, and some operators may represent sub-graphs that can be reconfigured to run across multiple servers for faster execution.
An Stepped Forward Security System for Multimedia Content Material for Cloud ...
The document discusses a proposed system for securing multimedia content on cloud infrastructures. The system uses a two-level approach: 1) generating signatures for 3D videos to robustly represent them with little storage, and 2) a distributed matching engine for scalably storing and matching signatures of original and query objects. The system was tested on over 11,000 3D videos and 1 million images, achieving high accuracy and scalability when deployed on Amazon cloud resources.
Journals analysis ppt
The document summarizes three journal articles about grid and cloud computing.
The first journal investigates the benefits of grid computing technologies for high-performance computing. It uses a case study approach and experimental methodology. Three scenarios are modeled to test average job response times.
The second journal aims to develop a prototype integrating grid technologies with NASA's web GIS software. It determines integration models and system architecture through data gathering and analysis. Components are developed and tested within a virtual organization environment.
The third journal comprehensively compares grid and cloud computing concepts from different perspectives. It collects data through observations and content analysis of definitions to ensure cloud computing is not just a renaming of grid computing.
CREW VRE Release 5 - 2009 May
The CREW system provides a virtual research environment to support collaborative research events. It allows users to record events, replay and annotate recordings, and conduct faceted searches across recorded content and related resources. The system was developed through a user-centered design process involving three user groups to ensure it meets researchers' needs. Future work will focus on ongoing user requirements gathering, supported evaluation events, and further development based on user feedback.
A Hierarchical Distributed Processing Framework for Huge Image by using Big Data
1) The document proposes a hierarchical distributed processing framework called ICP to efficiently handle huge images using big data techniques.
2) ICP has two components - SICP which processes large pre-stored images in the distributed system using novel P-Image and Big-Image data representations. DICP processes dynamic inputs through a parallel processing method.
3) The goal of ICP is to provide an efficient and scalable solution for image processing tasks by leveraging the computing resources of distributed systems and implementing parallel processing techniques.
Crossing the Analytics Chasm and Getting the Models You Developed Deployed
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Doing Science Properly In The Digital Age - Rutgers Seminar
The document discusses the role of software in research and the Software Sustainability Institute's (SSI) work to address challenges. SSI helps researchers make their software more sustainable and reusable through consulting, training, and community engagement. Case studies show how SSI has helped research groups improve software to enable new science and broader adoption. The document observes that software is now pervasive in research but culture does not widely support reuse or recognize software contributions. SSI aims to address gaps in skills, recognition, and sustainable practices to support digital research foundations.
Clone of an organization
This document discusses cloning an organization to allow testing and manipulation without affecting the original site. It defines cloning as creating an exact copy that can be used for tasks without risk to the original. Types of clones include the frontend design, backend design, and database. Benefits of cloning for software testing are that it is cost-effective, improves security and product quality, and increases customer satisfaction. The document then discusses various software testing types, reverse engineering, and software development life cycles like waterfall, RAD, spiral, V-model, incremental, agile, iterative, big bang and prototype models. The conclusion is that cloning can help test and learn new features without interrupting the original organization's data and business.
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)
EUDAT and PRACE joined forces to help research communities gain access to high quality managed e-Infrastructures whose resources can be connected together to enable cross-utilization use cases and make them accessible without any technical barrier. The capability to couple data and compute resources together is considered one of the key factors to accelerate scientific innovation and advance research frontiers. The goal of this session was to present the EUDAT services, the results of the collaboration activity achieved so far and delivers a hands-on on how to write a Data Management Plan or DMP. The DMP is a useful instrument for researchers to reflect on and communicate about the way they will deal with their data. It prompts them to think about how they will generate, analyse and share data during their research project and afterwards.
Visit: https://www.eudat.eu/eudat-summer-school
Scientific Cloud Computing: Present & Future
Over the past five years, cloud computing has gone from a curiosity to
core scientific technology. The cloud's relative simplicity, instant
availability, and reasonable cost have made it attractive to
scientists, especially in domains relatively new to large scale data
analysis. This trend will continue into the foreseeable future,
challenging resource providers to adapt their services, to provide
easy federation with other providers, and to accommodate many
different scientific disciplines. For developers of cloud services,
there are also many challenges. Efficient access to, and the curation
of large data sets remain largely unsolved problems. Image
management also raises new issues, especially if these images are to
be shared and trusted. This presentation reviews the current status
of cloud computing and presents some ideas on how the upcoming
challenges might be met.
Presented at CNAF in Bologna, Italy by Charles Loomis in May 2013.
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Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXT
Standard Bank is a leading South African bank with a vision to be the leading financial services organization in and for Africa. We will share our vision, greatest challenges, and most valuable lessons learned on our journey towards enterprise adoption of a big data strategy.
This includes our implementation of: a multi-tenant enterprise data lake, a real time streaming capability, appropriate data management and governance principles, a data science workbench, and a process for model productionisation to support data science teams across the Group and across Africa and Europe.
Speakers
Zakeera Mahomen, Standard Bank, Big Data Practice Lead
Kristel Sampson, Standard Bank, Platform Lead
A Machine learning based framework for Verification and Validation of Massive...
This document presents a machine learning based framework for verification and validation of massive scale image data. It discusses the challenges of managing and analyzing large image datasets. The proposed framework uses techniques like data augmentation, feature extraction and selection, decision trees, cross-validation and test cases to systematically manage massive image data and validate machine learning algorithms and systems. It uses Cell Morphology Analysis (CMA) as a case study to demonstrate how the framework can verify and validate large datasets, software systems and algorithms. The effectiveness of the framework is shown through its application to CMA, which involves classifying cell images using machine learning.
Eclipse Meets Systems Biology
- Systems biology uses computational approaches to produce quantitative, predictive models of biological processes by integrating math, biology, and high-throughput data.
- Eclipse technology can help by providing an extensible and customizable user interface for biologists to access modeling tools and IDEs for computational modelers, with reusable components.
- The SBSI software provides clients, a dispatcher, numerics algorithms, and a repository for systems biology modeling and optimization, with plugins for tasks like pathway editing, simulation, and data visualization.
VCE Mini Tool Kit – A Smart Approach forImage Conversion
This document describes a proposed image conversion tool called the VCE Mini Tool Kit. The tool allows users to easily convert images between different file formats like JPEG, PNG, BMP, and GIF. It aims to provide a simple, fast and understandable website for image conversion. Key features include allowing one-click conversion of images, storing converted images in a database, and downloading converted images. Diagrams show the general process flow and how users would interact with the tool via different use cases. The goal is to develop a tool that converts images quickly and efficiently with minimal time complexity.
Android Application For Decentralized Family Locator
This document describes a proposed decentralized Android application for tracking family members' locations in real-time without a central server. The application would use blockchain technology and GPS to allow family members to view each other's locations on a map and send messages. It aims to address privacy and security issues with centralized family locator apps by storing data across a distributed network rather than a single server. The proposed application's design includes user registration and account creation, joining location sharing circles, and an activity diagram to illustrate user interactions and location updating. It also discusses testing the application through unit, integration, system, black-box and white-box methods.
Real Time Moving Object Detection for Day-Night Surveillance using AI
This document presents a project to develop a web application for real-time moving object detection for both day and night surveillance using artificial intelligence. The application can detect objects in images, videos, and real-time video streams from a user's device. It implements computer vision techniques using OpenCV for image processing. A YOLOv4 deep learning model is trained on a dataset containing dark images to enable nighttime object detection. The trained model is deployed as a web app using Streamlit and hosted on Heroku to be accessible across different devices and operating systems. The project aims to provide a solution for various object detection and image processing tasks.
journal in research
The journal publishes original works with practical significance and academic value. All papers submitted to IJMRR are subject to a double-blind Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, public sector management. peer review process. IJMRR is an international forum for research that advances the theory and practice of management.
journal published
Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management. The journal publishes original works with practical significance and academic value.
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Trusted Execution Environment for Decentralized Process Mining
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TrustArc Webinar - 2024 Global Privacy Survey
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
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
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Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Efficiency and Effectiveness: Shared services to support STEM subjects
- 1. A Virtual Research Environment for Cancer Imaging (VRE-CI) RIC Workshop 26 July 2010
- 2. Outline Background Project Overview DICOM Image functionality Image analysis Sharing project outputs Questions
- 4. Reusing existing pieces of code.
- 6. Show result on a computer/laptop screen.
- 7. Do not have the opportunity to interact with the applications.
- 8. No user interface defined for them Hospital
- 10. Reuse it as part of a bigger solution.
- 12. Own data
- 13. Different image formatsScientific Workflows/ Activities
- 15. 22 months 01/05/2009 – 28/02/2011.
- 16. Project Partner: Microsoft Research
- 17. Lee Dirks
- 18. Alex Wade
- 19. Roger Barga
- 20. Team members:
- 21. PI. Prof. Anne E. Trefethen
- 22. Co-I. Dr. Vicente Grau
- 23. Project Manager Dr. M. Susana Avila-Garcia.
- 26. Leveraging the work of an existing Microsoft funded project on the development of novel segmentation algorithms for colorectal cancer images.
- 27. Use case to ensure that the main elements of cancer imaging research are considered.
- 29. Gray Institute of Radiation, Oncology and Biology.
- 31. Loading images into the system More secure way to make images available to researchers. Ensuring datasets are ‘validated’. Avoid storing data in media that might not be stored/managed securely. Clinicians may have a way to track which datasets they have made available and the associated results back from researchers.
- 32. Subjects No confidential information Confidential information No need to remove any metadata Anonymised data sets Define personalised filters to fit needs from each user/research scenario
- 33. Configuration Files Use of configuration files to personalise metadata filters according to each user preferences.
- 34. Loading images
- 35. Image Metadata
- 36. Dicom Image Properties / Zoom in
- 37. Image Viewer Adapt an existing Deep Zoom viewer [http://images.cancergrid.org/score/] Need a DICOM image filter to convert to bmp or jpeg format. Developed using the Insight Toolkit ITK.
- 38. What is Silverlight DeepZoom? Multiple layers at different resolutions Enables quick zooming and panning of large images Requires Silverlight browser plugin
- 39. Image Viewer / Deep zoom functionality
- 41. Image analysis
- 43. modify the flow of activities in an easy way and
- 46. Can be supported on the cloud
- 47. SP admin not required
- 48. Could lead to more effective (cheaper) use of computer systems.
- 51. Thanks!
- 52. Questions? Project website: http://www.oerc.ox.ac.uk/research/vre-ci
Editor's Notes
- Multiple layers at different resolutionsEnable quick zooming and panning of large imagesRequires Silverlight browser plugin