Patterns of Tactical Networking Services

2012 ◽  
pp. 311-329 ◽  
Author(s):  
Alex Bordetsky
Keyword(s):  
Experimental Studies ◽  
Cloud Services ◽  
Sensor Networking

This chapter describes findings and prototypes of emerging tactical networking services, which were identifiable based on unique experimental studies of tactical networking. The described findings would be helpful in structuring tactical cloud services for the variety manned-unmanned sensor networking applications.

IoT Based Agriculture as a Cloud and Big Data Service

2020 ◽  
pp. 1499-1521
Author(s):  
Sukhpal Singh Gill ◽  
Inderveer Chana ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Cloud Environment ◽  
Big Data Technologies ◽  
Sensor Networking ◽  
New Applications

Cloud computing has transpired as a new model for managing and delivering applications as services efficiently. Convergence of cloud computing with technologies such as wireless sensor networking, Internet of Things (IoT) and Big Data analytics offers new applications' of cloud services. This paper proposes a cloud-based autonomic information system for delivering Agriculture-as-a-Service (AaaS) through the use of cloud and big data technologies. The proposed system gathers information from various users through preconfigured devices and IoT sensors and processes it in cloud using big data analytics and provides the required information to users automatically. The performance of the proposed system has been evaluated in Cloud environment and experimental results show that the proposed system offers better service and the Quality of Service (QoS) is also better in terms of QoS parameters.

scholarly journals THE USE OF THE CLOUD-BASED OPEN LEARNING AND RESEARCH PLATFORM FOR COLLABORATION IN VIRTUAL TEAMS

2020 ◽  
Vol 76 (2) ◽  
pp. 304-320 ◽  
Author(s):  
Валерій Юхимович Биков ◽  
Даріуш Мікуловський ◽  
Oлівер Моравчик ◽  
Стефан Светський ◽  
Марія Павлівна Шишкіна
Keyword(s):  
Higher Education ◽  
Virtual Teams ◽  
Open Systems ◽  
Experimental Studies ◽  
Cloud Services ◽  
Open Learning ◽  
Promising Trend ◽  
Knowledge Based ◽  
Computing Services ◽  
Research Platform

The article highlights the promising ways of providing access to cloud-based platforms and tools to support collaborative learning and research processes. It is emphasized that the implementation of cloud computing services is a promising trend in the development of modern ICT pedagogical systems. The concept of cloud-based open learning and research platform is considered. The benchmarking studies of using ICT tools for learning and research within the pedagogical systems of higher education are fulfilled. The analysis and evaluation of the existing experience of using different types of software packages to support learning and research processes within the cloud-based environment are proposed. The issues of integration of knowledge-based services, language technologies and database network services within the open systems of learning and research are covered. A model of the cloud-based open learning and research collaborative environment involving the use of cloud-based components based on AWS virtual desktop, IBM Box, WPadV4 and other tools is substantiated. The reasonable ways of tools selection are considered and the prospects for their use within the cloud-based open learning and research platform in pedagogical systems of higher education are described. The research methods are the analysis of official international documents, publications on the subject of the research, observation, comparison, the analysis of the experience of using educational and scientific network packages, application of cloud technologies, benchmarking studies and experimental studies. Conclusions and recommendations encompass the application of cloud-based open learning and research technologies covering research platforms, scientific and educational network packages, and also cloud services for collecting, submitting and processing data as a promising trend in the development and modernization of the educational environment of higher education institutions and collaborative research.

IoT Based Agriculture as a Cloud and Big Data Service

2017 ◽  
Vol 29 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Sukhpal Singh Gill ◽  
Inderveer Chana ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Data Service ◽  
Big Data Technologies ◽  
Sensor Networking ◽  
New Applications

Cloud computing has transpired as a new model for managing and delivering applications as services efficiently. Convergence of cloud computing with technologies such as wireless sensor networking, Internet of Things (IoT) and Big Data analytics offers new applications' of cloud services. This paper proposes a cloud-based autonomic information system for delivering Agriculture-as-a-Service (AaaS) through the use of cloud and big data technologies. The proposed system gathers information from various users through preconfigured devices and IoT sensors and processes it in cloud using big data analytics and provides the required information to users automatically. The performance of the proposed system has been evaluated in Cloud environment and experimental results show that the proposed system offers better service and the Quality of Service (QoS) is also better in terms of QoS parameters.

IoT Based Agriculture as a Cloud and Big Data Service

2020 ◽  
pp. 438-461
Author(s):  
Sukhpal Singh Gill ◽  
Inderveer Chana ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Cloud Environment ◽  
Big Data Technologies ◽  
Sensor Networking ◽  
New Applications

Cloud computing has transpired as a new model for managing and delivering applications as services efficiently. Convergence of cloud computing with technologies such as wireless sensor networking, Internet of Things (IoT) and Big Data analytics offers new applications of cloud services. This paper proposes a cloud-based autonomic information system for delivering Agriculture-as-a-Service (AaaS) through the use of cloud and big data technologies. The proposed system gathers information from various users through preconfigured devices and IoT sensors and processes it in cloud using big data analytics and provides the required information to users automatically. The performance of the proposed system has been evaluated in Cloud environment and experimental results show that the proposed system offers better service and the Quality of Service (QoS) is also better in terms of QoS parameters.

scholarly journals ОРГАНІЗАЦІЯ ДОСЛІДНИЦЬКОЇ РОБОТИ УЧНІВ ЗАСОБАМИ ХМАРНИХ СЕРВІСІВ OFFICE 365

2019 ◽  
Vol 69 (1) ◽  
pp. 54
Author(s):  
Petro G. Shevchuk
Keyword(s):  
Information And Communication Technologies ◽  
Experimental Work ◽  
Research Work ◽  
Experimental Studies ◽  
Communication Technologies ◽  
Cloud Services ◽  
Educational Work ◽  
Research Activities ◽  
Information And Communication ◽  
Academy Of Sciences

The purpose of the work is an investigation of cloud services Office 365, as a means of student's research work implementation and coordination. The basis of considering the students’ research organization by means of Office 365 is the analysis of the psychological and pedagogical aspects of students’ educational and research work informatization, as well as a comparison of professional research activities and students’ research work. The work briefly describes individual researches and publications which are related to the use of Office 365 cloud services and to the organization of research works by students of the Minor Academy of Sciences. The author has noticed the importance of the Minor Academy of Sciences students’ research work. The student’s educational research is described as a means of attracting young people to future scientific activities. It is indicated on a certain identity of scientific research and research and experimental work of students. The tasks of the student's extracurricular research and experimental work are determined, as well as explained the priorities of these tasks. The psychological and pedagogical aspects of informatization of students' educational work are considered. Some peculiarities of pedagogical mentoring students-researchers of the Minor Academy of Sciences have been analyzed and explained. Recommendations as for mentoring based on the use of information and communication technologies are presented. The use of some Office 365 services is analyzed in details: Outlook, Calendar, OneDrive, Sites, Delve, Video, Word Online, Excel Online, PowerPoint Online, OneNote Online, and OneNote for learning. The use of Office 365 services at different stages of preparation for the contest-defence works of students of the Minor Academy of Sciences of Ukraine is considered. The list of Office 365 services, which is used at each stage of preparation work, is presented in the article. The practical use of cloud learning services for the organization of students’ research work is described. It is indicated on the prospects of using cloud services for the organization of students’ extra-curricular learning and experimental studies and noticed the need for further research on this issue.

scholarly journals THE CONCEPTUAL BASIS OF THE UNIVERSITY CLOUD-BASED LEARNING AND RESEARCH ENVIRONMENT FORMATION AND DEVELOPMENT IN VIEW OF THE OPEN SCIENCE PRIORITIES

2018 ◽  
Vol 68 (6) ◽  
pp. 1 ◽  
Author(s):  
Valerii Yu. Bykov ◽  
Mariya P. Shyshkina
Keyword(s):  
Higher Education ◽  
Experimental Studies ◽  
Education Institution ◽  
Open Science ◽  
Cloud Services ◽  
European Research ◽  
Environment Design ◽  
Research Environment ◽  
Scientific Application ◽  
Cloud Technologies

This article explores the scientific and methodological background of the creation and development of the cloud-based learning and research environment in the context of open science priorities and the European Research Area (ERA) formation. The conceptual and terminology body of the cloud-based environment investigation and the main features of such an environment are delineated. The main methodological principles of the environment design and development, for instance, the principles of open science, open education and also the specific principles inherent to the cloud-based systems are described. The study aim is to analyze the conceptual body, principles, and features of the formation and development of the cloud-based educational and research environment in the context of the open science concept. The objective of the study is to determine the prospects of cloud technologies that are used to support educational and scientific activities and to outline the principles and technologies of open science use and explore their broader application in pedagogical systems of higher educational institutions. The research methods are the analysis of official international documents, publications on the research, observation, comparison, the analysis of the experience of the educational and scientific application of cloud technologies, and experimental studies. The results of the research substantiate cloud technologies in the principles of creation and development of the learning and research environment (LRE) of a higher education institution. The concept of the cloud-based environment is explained; the characteristic features of its functioning are outlined. Additionally, the prospects and estimation of the cloud-based LRE development in the aspect of open science are defined. Conclusions and recommendations encompass the application of cloud-based open science technologies covering European research infrastructures, scientific and educational networks, European open science cloud, and also cloud services for collecting, submitting and processing data as a topical and promising trend for the development and modernization of the learning and research environment of higher education institutions.

3-D reconstruction and analysis of mammalian mitotic spindle structure

1992 ◽  
Vol 50 (1) ◽  
pp. 578-579
Author(s):  
Kent McDonald ◽  
David Mastronarde ◽  
Rubai Ding ◽  
Eileen O'Toole ◽  
J. Richard McIntosh
Keyword(s):  
Cross Sections ◽  
Mitotic Spindle ◽  
Experimental Studies ◽  
Video Camera ◽  
Three Dimensions ◽  
Mitotic Spindles ◽  
Black And White ◽  
Reconstruction Methods ◽  
Spindle Structure ◽  
Tissue Culture Line

Mammalian spindles are generally large and may contain over a thousand microtubules (MTs). For this reason they are difficult to reconstruct in three dimensions and many researchers have chosen to study the smaller and simpler spindles of lower eukaryotes. Nevertheless, the mammalian spindle is used for many experimental studies and it would be useful to know its detailed structure.We have been using serial cross sections and computer reconstruction methods to analyze MT distributions in mitotic spindles of PtK cells, a mammalian tissue culture line. Images from EM negatives are digtized on a light box by a Dage MTI video camera containing a black and white Saticon tube. The signal is digitized by a Parallax 1280 graphics device in a MicroVax III computer. Microtubules are digitized at a magnification such that each is 10-12 pixels in diameter.

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