Dynamic intelligence towards smart and green world

Hsu, Ching‐Hsien; Yang, Laurence T.

doi:10.1002/dac.2777

Cited by 5 publications

(8 citation statements)

References 9 publications

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“…Several researchers have studied different issues related to the adoption, challenges, and various business aspects for adoption of cloud services in an organization. Some researchers, including Gens, Leukel et al, Pearson and Benameur, Lindner et al, Cheung et al, Morgan and Conboy, Hsu and Yang, Huang et al, Wang et al, Misra et al, and Khan have given a comprehensive overview of cloud services and cloud computing.…”

Section: Background and Motivationmentioning

confidence: 99%

Identifying the moderating effect of trust on the adoption of cloud‐based services

Rahi

Bisui

Misra

2017

Int J Communication

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Cloud computing provides a way to coordinate and share relevant information and data on real-time basis over an organization. The adoption of cloud services is one of the most emerging technological advances in the practice of current competitive business environment. The research done in this article is based on the analysis of the data obtained from the semiconductor sector. Cloud adoption would most likely be the best answer for them. However, because of various types of complexities, semiconductor industries may have to confront with a few trust issues while receiving cloud services. This article aims to identify the trust factors in the adoption of cloud services in semiconductor industries. Further, the moderating effect of these trust elements related to the technological, organizational, and environmental success factors has been discussed here. On the basis of literature survey, a hypothetical model has been developed, and the relationships among the latent variables have been studied by using structural equations. The study reveals that while trust factors moderate the technology and environment-related success factors, there is not much moderating effect of the trust issues on the organization-related success factors in the adoption of cloud services in semiconductor industries.

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Section: Background and Motivationmentioning

confidence: 99%

Identifying the moderating effect of trust on the adoption of cloud‐based services

Rahi

Bisui

Misra

2017

Int J Communication

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“…In the same year, Aleem and Sprott and Lenart portrayed cloud computing as one of the most useful technologies for sharing and integrating information in any organization. Challenges for the adoption of different technologies have been discussed in various literature authored by Rimal et al, Hsu et al, Huang et al, Zhang et al, and Misra et al…”

Section: Background and Motivationmentioning

confidence: 99%

“…In the same year, Aleem and Sprott 18 and Lenart 19 portrayed cloud computing as one of the most useful technologies for sharing and integrating information in any organization. Challenges for the adoption of different technologies have been discussed in various literature authored by Rimal et al, 16 Hsu et al, 4 Huang et al, 13 Zhang et al, 20 and Misra et al 21 With the development of ICs, small chip size increases the complexity of logic circuit. The bottleneck in IC design is its strong dependency on requirement of the state of art equipment, especially for small and medium-sized industries that do not have the ability to have strong servers or hardware acceleration simulation.…”

Section: Background and Motivationmentioning

confidence: 99%

“…The semiconductor industries are taking a lead among all industries in the world for more than a few decades. The development of microchip products is pretty complicated because of the complexity of circuits and material properties as well as process complexity . The semiconductor industry is one of the fastest growing sectors of the global economy and bears the promise to be the key industry in the future, although such an industry is considered as one of the most complex industries in world.…”

Section: Introductionmentioning

confidence: 99%

“…The development of microchip products is pretty complicated because of the complexity of circuits and material properties as well as process complexity. 4 The semiconductor industry is one of the fastest growing sectors of the global economy and bears the promise to be the key industry in the future, although such an industry is considered as one of the most complex industries in world. It is so not only because of much complexities in the processing steps involved in device manufacturing but also because of volatility and unpredictability of demands.…”

Section: Introductionmentioning

confidence: 99%

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Identifying critical challenges in the adoption of cloud‐based services

Rahi

Bisui

Misra

2017

Int J Communication

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Summary Cloud computing provides a way to integrate and share information on a real‐time basis across an organization. The current organizations are adopting the cloud services to gain competitive advantage in real‐time data sharing. To meet the current demand in semiconductor industries, they must develop better techniques to produce electronic products at low cost and in a large scale. Adoption of cloud‐based services may resolve the fastest growing demand of technical advancement of semiconductor industries. The research presented in this paper is based on an analysis of the data obtained from the semiconductor sector. This study identifies the critical challenges associated with the cloud service adoption in semiconductor industries. Twelve critical challenges have been identified that need to be overcome for adopting the cloud services for any semiconductor industry. These are network/Internet availability, data security, integration of various services, monitoring of data and services, maintenance of computing performance, liability, power outage, service interruption, organizational change, business complexity, legal issues, and lack of awareness.

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ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT

et al. 2015

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Due to harsh environment, large number of sensors, limited energy, and spectrum scarcity, intelligent sensing becomes a key issue to enable many practical applications in industrial Internet of Things (IoT). In such an industrial environment with noise and interference, an efficient cooperative spectrum sensing (CSS) scheme can achieve spectrum sharing between primary users (PUs) and secondary users (SUs), and effectively solve the spectrum scarcity and reduce energy consumption to make the IoT smarter. As a vital part of CSS, decision transmission (DT) between SUs and fusion center (FC) plays a crucial role. In traditional DT, each SU will transmit its local decision to FC with orthogonal channel in each sensing, which does not consider the packet error and packet loss due to noise during transmission, and aggravates spectrum scarcity and energy consumption. An energy-efficient reliable DT (ERDT) scheme is proposed to enhance CSS in industrial IoT, which considers both packet error and packet loss. First, the CSS mathematical model based on DT is formulated. Second, with rigorous mathematical deduction, the correct decision probability and the energy consumption are analyzed for both ERDT and DT based on logic OR-rule and AND-rule under three cases, respectively: 1) bit error only; 2) packet loss only; and 3) both bit error and packet loss. Detailed simulation results show that, compared with DT, the proposed ERDT can increase correct decision probability and reduce energy consumption for CSS under three different cases. When the existence probability of PU is 50%, the energy consumption of ERDT is only half of that of DT in CSS. Furthermore, when there are 30 SUs in CSS, the existence probability of PU is 50%, both pocket loss rate and bit error rate are 0.05, and the correct decision probability of ERDT is approaching to 1 for CSS in industrial IoT.INDEX TERMS Intelligent cooperative spectrum sensing, decision transmission, energy-efficient, industrial IoT.

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Dynamic intelligence towards smart and green world

Cited by 5 publications

References 9 publications

Identifying the moderating effect of trust on the adoption of cloud‐based services

Identifying the moderating effect of trust on the adoption of cloud‐based services

Identifying critical challenges in the adoption of cloud‐based services

ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT

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