Atlas teaser #12
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This project received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. The ATLAS challenge addresses building data access adapters that enable batch and real time integration of data from multiple data infrastructures, making them available for discovery, visualization, analysis and download from a single point of access.
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This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. The ATLAS project will build a decision support system that includes end-users, allowing them to provide feedback on recommended tasks, report operational data, and describe the actual actions taken.
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cli
OBSAASE Cloud is MaxisIT's next-generation clinical development platform as a service that provides an out-of-the-box solution experience in a cloud computing environment. It allows for effective concept definition, execution mobilization, and results viewing without complex programming. The platform offers scalable processing, storage, collaboration tools, real-time analytics, and security controls.
Managing sensitive applications in the public cloud
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+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
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Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Data integration alipour-hafezi
Data integration combines data from different sources to provide a unified view. It involves both technical and business processes to deliver trusted data. Data integration solutions can combine data from applications, libraries, travel services, agriculture, and industry. Challenges to data integration include data issues, security, complexity, policies, and cultural barriers between organizational silos.
Toward a global data infrastructure
Toward a global data infrastructure
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
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Cloud computing helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability, and data protection. To discuss and address these issues, we invite researches who focus on cloud computing to shed more light on this emerging field. This peer-reviewed open access Journal aims to bring together researchers and practitioners in all security aspects of cloud-centric and outsourced computing, including (but not limited to):
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Atlas teaser #26
Although being a decentralized network, a centralized ATLAS Service Registry is needed to ensure quality and reliability by implementing service discovery and registration of certified participants. The Service Registry and its governance body ensure any new services conform to standards by meeting quality, safety, and security requirements.
Atlas teaser #25
This document discusses a technology under development that allows different systems to interconnect and exchange data through standardized ATLAS Services offered by participating systems. These services enable a peer-to-peer exchange of data in a documented way without a central component distributing or steering data flows, as a central component would need to handle large amounts of shifting data between systems.
Atlas teaser #24
The ATLAS Interoperability Network addresses challenges from the diverse agricultural sector by considering existing market solutions. The ATLAS system architecture is designed based on various use cases and covers a wide range of agriculture. The network and system architecture aim to enable interoperability across the heterogeneous agricultural industry.
Atlas teaser #23
The ATLAS Interoperability Network aims to enable information exchange between different agricultural systems by developing technical interoperability in a bottom-up manner with input from stakeholders across domains. As the participating systems are independent and built on separate infrastructures, the network will be distributed and non-centralized, connecting existing systems.
Atlas teaser #15
This project received funding from the European Union to develop an irrigation scheduling and management service. The project will combine meteorological data from sensors and stations with hydrological modeling and weather forecasting. This system aims to serve as a decision support system for irrigation.
Atlas teaser #11
This project has received funding from the European Union for research. The document discusses recent market intelligence on precision farming and artificial intelligence in agriculture. Precision farming is expected to reach $12.9 billion by 2027, and artificial intelligence in agriculture was valued at $608.9 million in 2018 and is projected to grow at a rate of 25.4% annually through 2025.
Atlas teaser #10
This document discusses estimates for the commercial drone market and its economic impact. It states that the global commercial drone market in 2020 is estimated to be $6.5 billion, with over half consisting of agricultural drones. By 2025, commercial drone adoption is estimated to have an $80 billion global economic impact, and drones are estimated to have a $30 billion impact on global agriculture. The source of these statistics is Ipsos Business Consulting.
Atlas teaser #6
ATLAS aims to establish sustainable ecosystems through Innovation Hubs that provide data-driven services. The Innovation Hubs aspire to become central sources of information, meeting points for stakeholders, and coordinators of regional activities and pilots, while also serving as communication channels, candidate databases, and information sources for the ATLAS project.
Atlas teaser #5
This system assists farmers in monitoring livestock by using a Dense Optical Flow algorithm to compute and visualize the activity levels of animals on a graph. The goal is to implement and demonstrate a system that helps livestock farmers monitor their animals by using computer vision techniques to analyze animal behavior and display the results.
Atlas teaser #4
The ATLAS services API specification is provided through "Service Templates" that describe related agricultural or technical functions. The service templates are specified using OpenAPI and provide information on mandatory and optional endpoints, expected input parameters, and response schemas. The specification aims to enable interoperability.
Atlas teaser #3
ATLAS will design a multi-sensor box that can be coupled to farm vehicles to measure soil moisture, chlorophyll content, and plant drought stress using spectral cameras. This sensor data and a "digital twin" field model can be combined to estimate crop yield volumes.
Atlas teaser #2
The ATLAS Interoperability Network addresses challenges from the diverse agricultural sector by considering existing market solutions. The ATLAS system architecture is designed based on various use cases and covers a wide range of agriculture. The network and system architecture aim to enable interoperability across the heterogeneous agricultural industry.
Atlas teaser #1
The ATLAS Interoperability Network aims to allow different agricultural systems to exchange information by developing technical interoperability in a bottom-up manner with input from stakeholders across agricultural domains. As the participating systems are independent and built on various technical infrastructures, the network will be distributed and non-centralized, connecting existing systems.
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Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
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Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...
Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.
Anti-Universe And Emergent Gravity and the Dark Universe
Recent theoretical progress indicates that spacetime and gravity emerge together from the entanglement structure of an underlying microscopic theory. These ideas are best understood in Anti-de Sitter space, where they rely on the area law for entanglement entropy. The extension to de Sitter space requires taking into account the entropy and temperature associated with the cosmological horizon. Using insights from string theory, black hole physics and quantum information theory we argue that the positive dark energy leads to a thermal volume law contribution to the entropy that overtakes the area law precisely at the cosmological horizon. Due to the competition between area and volume law entanglement the microscopic de Sitter states do not thermalise at sub-Hubble scales: they exhibit memory effects in the form of an entropy displacement caused by matter. The emergent laws of gravity contain an additional ‘dark’ gravitational force describing the ‘elastic’ response due to the entropy displacement. We derive an estimate of the strength of this extra force in terms of the baryonic mass, Newton’s constant and the Hubble acceleration scale a0 = cH0, and provide evidence for the fact that this additional ‘dark gravity force’ explains the observed phenomena in galaxies and clusters currently attributed to dark matter.
Signatures of wave erosion in Titan’s coasts
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
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Hello Everyone Here We are Sharing You with The process of protien Synthesis in very short points you will be Able to understand It Very well
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- 1. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 857125. The ATLAS challenge… ATLAS addresses the challenge of building data access adapters that enable batch and real time integration of data from multiple data infrastructures, making them available for discovery, visualization, analysis and download from a single point of access.