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Internet of Things and Big Data-Driven Data Analysis Services for Third Parties: Business Models, New Ventures, and Potential Horizons

Published on Jan 1, 2019
· DOI :10.4018/978-1-5225-8188-8.ch014
Izabella Lokshina6
Estimated H-index: 6
(State University of New York at Oneonta),
Barbara J. Durkin3
Estimated H-index: 3
(State University of New York at Oneonta),
Cees J.M. Lanting3
Estimated H-index: 3
Abstract
  • References (30)
  • Citations (0)
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References30
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#1Monika Streuer (KIT: Karlsruhe Institute of Technology)H-Index: 1
#2Jan F. Tesch (GAU: University of Göttingen)H-Index: 5
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The constantly emerging paradigm of the Internet of Things (IoT) offers immense opportunities for innovation. In order to design business models for innovative offerings and ensure their success, business model patterns have been proven to be a viable approach, transferring analogies of past successful economic effects to new business endeavors. While past research focused on contributing to a general overview and understanding of business model patterns and their application to new businesses, ...
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#1Izabella Lokshina (State University of New York at Oneonta)H-Index: 6
#2Hua Zhong (State University of New York at Oneonta)H-Index: 2
This chapter is devoted to digital communications in a smart world. The authors examine turbo codes that are currently introduced in many international standards and implemented in numerous advanced communication systems, applied in a smart world, and evaluate the process of Extrinsic Information Transfer (EXIT). The convergence properties of the iterative decoding process, associated with a given turbo-coding scheme, are estimated using the analysis technique based on so-called EXIT charts. Thi...
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#1Izabella Lokshina (State University of New York at Oneonta)H-Index: 6
#2Barbara J. Durkin (State University of New York at Oneonta)H-Index: 3
Last. Cees J.M. Lanting (Katholieke Universiteit Leuven)H-Index: 3
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1 CitationsSource
#1Izabella Lokshina (State University of New York at Oneonta)H-Index: 6
#2Cees J.M. Lanting (Katholieke Universiteit Leuven)H-Index: 3
Last. Barbara J. Durkin (State University of New York at Oneonta)H-Index: 3
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This article describes ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, now cut across every area of modern day living, affecting individuals and businesses and offering the ability to obtain and measure environmental indicators. Proliferation of these devices in a communicating-actuating network creates an Internet of Things (IoT). The IoT provides the tools to establish a major, global data-driven ecosystem that also enables Big Data techniques to be used. New...
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#1Izabella Lokshina (State University of New York at Oneonta)H-Index: 6
#2Cees J.M. Lanting (Katholieke Universiteit Leuven)H-Index: 3
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One of the key elements of future energy generation is the switch to non-depletable resources, widely known as renewable energy sources (RES). There are many types of RES, however, but the focus of this article is on biomass products, which mainly consists of forest production (wood) and energy crops. One of the main problems of using biomass products for renewable energy production is the fact that several constraints should be imposed for both the management of forests and land. There are diff...
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#1Izabella Lokshina (State University of New York at Oneonta)H-Index: 6
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eHealth has a major potential, and its adoption may be considered necessary to achieve increased ambulant and remote medical care, increased quality, reduced personnel needs, and reduced costs potential in healthcare. In this chapter, the authors try to give a reasonable, qualitative evaluation of IoT-driven eHealth from theoretical and practical viewpoints. They look at associated knowledge management issues and contributions of IoT to eHealth, along with requirements, benefits, limitations and...
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#1Murray E. Jennex (SDSU: San Diego State University)H-Index: 25
The knowledge pyramid has been used for several years to illustrate the hierarchical relationships between data, information, knowledge, and wisdom. An earlier version of this paper presented a revised knowledge-KM pyramid that included processes such as filtering and sense making, reversed the pyramid by positing there was more knowledge than data, and showed knowledge management as an extraction of the pyramid. This paper expands the revised knowledge pyramid to include the Internet of Things ...
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