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The National Institute of Standards and Technology Network of Things (NoT) concept offers a framework to build a living NoT architecture using a graph theoretic approach. This architectural model captures system state dynamics in a way NoT typically supported in static architectural frameworks.
With the rapid development of the information technology and the smart grid technology, the Energy Internet as the core of the third industrial revolution is on the rise. The EI is a complete set of future energy system from energy production, transportation, distribution, transformation and consumption and so on. The traditional model of data storage and processing have been unable to meet the requirements...
Database management requires fast and reliable access to the data stored in the database for complex evaluating in intelligent information systems. Significant data amount must be handled, stored and consequently retrieved for analysis. Each data tuple is delimited by the time of occurrence or reflected by the validity. Temporal database approach uses various architectures based on data structure...
While forestry is an important economic factor, the common methods used to estimate potential financial gains from undertaking a harvest project in Germany are usually based on heuristics and experience. Experience-based estimation methods focus on utilizing a few general statistical parameters that define the harvest operation, employing an abstract view on wood harvesting. To improve the accuracy...
Spatiotemporal information and application have received considerable attention. Spatiotemporal information is often imprecise or uncertain; therefore, the establishment of a reasonable and effective fuzzy spatiotemporal data model is vital. The traditional tool-based modeling method cannot meet the needs of fuzzy spatiotemporal data modeling. XML has become the standard of Web data representation...
Although the database schemas are an integral part of information systems, the use of software product lines has been mainly studied for the production of executable code. The impact on data management and in particular the database schemas are poorly documented and little studied in the literature. The paper is an attempt to explore some of the issues of the modeling and implementation of the variability...
Due to the tremendous advances in GPS and location-based web services, highly available spatiotemporal trajectory data poses an important challenge - knowledge discovery from trajectories. Knowledge discovery tasks on trajectory big data such as classification, clustering and outlier detection require a dedicated data model, which can support various utility functions and provide a robust object-relational...
With the wide availability of GPS devices in our lives, massive amounts of object movement data have been collected from various moving object targets, such as mobile devices, animals, and vehicles. In the last decade, Moving Object Databases (MOD) have attracted many researchers. Analyzing such data has deep implications in many areas, such as ecological study and traffic control. In this study,...
Relations between the users' expertise, complexity of tasks to be solved by knowledge-based organizations and mission of smart information systems, is a multi-dimensional structure that should provide the necessary conceptual framework of sustainable integrated smart development. The users of smart information systems face a variety of problems, such as: system access, data recovery, identifying and...
Advances in database technologies are moving the attention of data managers from well known structured relational databases (SQL-Like DBs) towards NoSQL approaches, especially to address big data issues. However, changing technologies in consolidated data management system is hard and requires great investments. Deploying hybrid SQL-NoSQL approaches could be a good solution to speed up the transition...
There has long been a challenge of making engineering tools from multiple disciplines interoperate. This problem extends to system modeling practices. This challenge has been confronted with a wide variety of techniques. These techniques include attempting to interface tools together into combined suites, attempting to find underlying commonalities in mathematics, supporting connections through semantic...
IT complexity in enterprise today continues to grow at a dizzying rate. Technology innovation, vendor heterogeneity, and business demands are major reasons why organizations are exposed to new risks, based on the gaps opened between the options and features of each IT element and product, and how they are implemented to support a well-defined policy and company strategy. Moreover, the impact of such...
We present our preliminary research workintended to lay the foundation for providing a cost effective, secure and reliable system for real time clinical data acquisitionrequired for analysis. We identify a specific problem, namely theneed to achieve interoperability by applying a standards baseddata modeling approach to achieve a common platform thatserves to improve the health data mapping of unstructured...
Today, simulation systems are an essential part in research and development. While current entertainment domains fully exploit the technical possibilities of modern graphics hardware and state of the art rendering approaches, many Virtual Reality (VR) simulation system in scientific contexts put the focus on numerical results with rather functional representations. The novel research field of eRobotics...
Software Product Line Engineering is an approach to management of diversity in software families. Although several SPLE approaches exist in the domains of industrial software applications, product lines of data-intensive software systems have gained less attention. We use an incremental, delta-oriented technique to handle variability by specifying changes to be made to a core data model to define...
Electric power industries have expanded the automation of their networks in recent years to meet the growing demands for improvements in services. The introduction of the concept of Smart Grid, the increased availability of smart devices and improvements in telecommunications are key factors for that. Besides the benefits in control and management that this concept brings, there are some technical...
The electric power system is a very large-scale system wherein a variety of apparatus and devices from power generation to consumer are systematically combined and operated by various applications in real time. In the past, each application was developed by itself with little or no thought given to interconnecting it with other applications. In line with the standardization requirements for information...
Now-a-days with the enormous synthesize and increasing use in the arena of cloud computing, smart devices, and business intelligence, Big Data also has become a growing area of research. Yet in literature existing approaches regarding logical level designing of Big Data is very rare. Most are about representation of both semi-structured and structured data and from the perspective of schema-base....
Distribution system operators will gather an increasing amount of electricity data from the lower level of the grid to be able to cope with several challenges, such as an increase of distributed, heterogeneous energy production, local storage, and electric vehicles. Most DSOs are not yet prepared for collecting, storing and processing these large amounts of data. This paper introduces a method for...
In the era of big data, data analytics, business intelligence database management plays a vital role from technical business management and research point of view. Over many decades, database management has been a topic of active research. There are different type of database management system have been proposed over a period of time but Relational Database Management System (RDBMS) is the one which...
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