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Integrated Geographic Information System for Real-Time Observations and Remote Sensing Data Acquisition
Published in Kevin Yallup, Krzysztof Iniewski, Technologies for Smart Sensors and Sensor Fusion, 2017
The term cyberinfrastructure defines the combination of distributed computers, large-scale data storage, high-speed networks, high-throughput instruments and sensor networks, and associated software that, as a ubiquitous, persistent infrastructure, has and will continue to have a direct impact on scientific and engineering productivity [17]. This kind of infrastructure supports realtime information and asynchronous collaboration between different communities. The definition of the term cyberenvironment is obvious to the representation of the software infrastructure and needed interfaces. This realizes the vision of cyberinfrastructure as a systemic catalyst for transformative change of the shared resources in research practice and end-to-end productivity [17]. Also, cyberenvironments provide an interface to local and shared instruments and sensor networks, data stores, computational resources and capabilities, and analysis and visualization services within a secure framework. Their combination enables the management of complex projects, development and automation of processes in groups and community-scale collaboration, and coordination with geographically dispersed users. Cyberenvironments emphasize the integration of shared resources, hardware, and knowledge, into end-to-end scientific processes and the continuing development and dissemination of new resources and new knowledge.
A CyberGIS Environment for Analysis of Location-Based Social Media Data
Published in Hassan A. Karimi, Advanced Location-Based Technologies and Services, 2016
Shaowen Wang, Guofeng Cao, Zhenhua Zhang, Yanli Zhao, Anand Padmanabhan, Kaichao Wu
Cyberinfrastructure was termed to refer to the integration of high-performance computing, information, and communication technologies as well as related human expertise for coordinated knowledge development and discovery (Atkins et al. 2003). Worldwide research communities have embraced the powerful synthesis vision that cyberinfrastructure represents, and its enormous potential to accelerate innovations and enable discoveries in science and engineering. A CyberGIS vision, a new GIS modality based on cyberinfrastructure, has been recently developed to advance geospatial technologies and scientific problem solving based on the synthesis of cyberinfrastructure, GIScience, and spatial analysis (Wang 2010). Early research and development of CyberGIS have demonstrated its great potential to address fundamental challenges of cyberinfrastructure and GIScience (Wang 2010; Wright and Wang 2011; Anselin and Rey 2012), particularly computational ones tied to the popular notion of big data.
The SMART Cyberinfrastructure: Spa ce-Time Multiscale Approaches for Research and Technology
Published in Tanmoy Chakraborty, Prabhat Ranjan, Anand Pandey, Computational Chemistry Methodology in Structural Biology and Materials Sciences, 2017
Daniele Licari, Giordano Mancini, Andrea Brogni, Andrea Salvadori, Vincenzo Barone
Indiana University has developed one of the most widely cited definitions of cyberinfrastructure: “a set of computing systems, data storage systems visualization environments, and people all linked together by software and high performance networks, to improve research productivity and enable breakthroughs not otherwise possible”. The term ‘cyberinfrastructure’ was coined in the late 1990s, it was used in a press briefing on Presidential Decision Directives 63 by the President of the United States on May 22, 1998. But only in 2003 was popularized by The National Science Foundation (NSF) with the publication of “Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure” by Atkins et al. [25] described the technology substrate of Cyberinfrastructure, involving the following components:High-end general-purpose computing centers that provide supercomputing capabilities to the community at large.Data repositories that are well curated and that store and make available to all researchers large volumes and many types of data, both in raw form and as associated derived products.Digital libraries that contain the intellectual legacy of researchers and provide mechanisms for sharing, annotating, reviewing, and disseminating knowledge in a collaborative context.High-speed networks that connect computing resources, data repositories, and digital libraries.software and services for specific community (e.g., chemical data management and analysis).
A survey of optimization models and methods for cyberinfrastructure security
Published in IISE Transactions, 2020
Forough Enayaty-Ahangar, Laura A. Albert, Eric DuBois
Cyberinfrastructure includes electronic information and communications systems and services and the information contained in these systems and services. Information and communications systems and services are composed of all hardware and software that process, store, and communicate information, or any combination of all of these elements. Processing includes the creation, access, modification, and destruction of information. Storage includes paper, magnetic, electronic, and all other media types. Communications include sharing and distribution of information. For example: computer systems; control systems (e.g., supervisory control and data acquisition–SCADA); networks, such as the Internet; and cyber services (e.g., managed security services) are part of cyberinfrastructure.
A scalable cloud-based cyberinfrastructure platform for bridge monitoring
Published in Structure and Infrastructure Engineering, 2019
Seongwoon Jeong, Rui Hou, Jerome P. Lynch, Hoon Sohn, Kincho H. Law
A cloud-based cyberinfrastructure platform is designed to manage these diverse types of data and to enable data retrieval by a variety of client systems (e.g. data analysis modules, engineering analysis tools and end-user interfaces). The platform is designed with an emphasis on (1) an information model to capture SHM-related data and to facilitate data interoperability, (2) a scalable database design to handle the large volume of and heterogeneous SHM data and (3) interoperable web services to enable easy access to SHM data and to facilitate SHM application developments. Figure 3 shows the conceptual framework of the cloud-based cyberinfrastructure platform which includes the following major components: