scholarly journals Corrigendum to “A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions”

2019 ◽  
Vol 2019 ◽  
pp. 1-1
Author(s):  
Salman Raza ◽  
Shangguang Wang ◽  
Manzoor Ahmed ◽  
Muhammad Rizwan Anwar
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 79877-79886 ◽  
Author(s):  
Bin Li ◽  
Zesong Fei ◽  
Jian Shen ◽  
Xiao Jiang ◽  
Xiaoxiong Zhong

2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Salman Raza ◽  
Shangguang Wang ◽  
Manzoor Ahmed ◽  
Muhammad Rizwan Anwar

A new networking paradigm, Vehicular Edge Computing (VEC), has been introduced in recent years to the vehicular network to augment its computing capacity. The ultimate challenge to fulfill the requirements of both communication and computation is increasingly prominent, with the advent of ever-growing modern vehicular applications. With the breakthrough of VEC, service providers directly host services in close proximity to smart vehicles for reducing latency and improving quality of service (QoS). This paper illustrates the VEC architecture, coupled with the concept of the smart vehicle, its services, communication, and applications. Moreover, we categorized all the technical issues in the VEC architecture and reviewed all the relevant and latest solutions. We also shed some light and pinpoint future research challenges. This article not only enables naive readers to get a better understanding of this latest research field but also gives new directions in the field of VEC to the other researchers.


Author(s):  
Da-Yin Liao

Contemporary 300mm semiconductor manufacturing systems have highly automated and digitalized cyber-physical integration. They suffer from the profound problems of integrating large, centralized legacy systems with small islands of automation. With the recent advances in disruptive technologies, semiconductor manufacturing has faced dramatic pressures to reengineer its automation and computer integrated systems. This paper proposes a Distributed-Ledger, Edge-Computing Architecture (DLECA) for automation and computer integration in semiconductor manufacturing. Based on distributed ledger and edge computing technologies, DLECA establishes a decentralized software framework where manufacturing data are stored in distributed ledgers and processed locally by executing smart contracts at the edge nodes. We adopt an important topic of automation and computer integration for semiconductor research &development (R&D) operations as the study vehicle to illustrate the operational structure and functionality, applications, and feasibility of the proposed DLECA software framework.


Author(s):  
Daniel Massoth

When technology is used for assessment in music, certain considerations can affect the validity, reliability, and depth of analysis. This chapter explores factors that are present in the three phases of the assessment process: recognition, analysis, and display of assessment of a musical performance. Each phase has inherent challenges embedded within internal and external factors. The goal here is not to provide an exhaustive analysis of any or all aspects of assessment but, rather, to present the rationale for and history of using technology in music assessment and to examine the philosophical and practical considerations. A discussion of possible future directions of product research and development concludes the chapter.


2018 ◽  
Vol 47 (3) ◽  
pp. 386-399 ◽  
Author(s):  
John Burke ◽  
Derek Richards ◽  
Ladislav Timulak

Background: Anxiety disorders are a highly prevalent cause of impairment globally with generalized anxiety disorder (GAD) sharing many features with other anxiety disorders. Aims: The present study investigated the helpful and hindering events and impacts for individuals with generalized anxiety who engaged with a supported 6-week online intervention based on cognitive behavioural therapy (iCBT). Method: Participants (n = 36) completed the Helpful and Hindering Aspects of Therapy (HAT) for each session. A descriptive-interpretative framework was used to analyse the data. Results: Helpful events were identified by participants as CBT techniques including psychoeducation, monitoring, cognitive restructuring and relaxation, and found supporter interaction, mindfulness and reading personal stories helpful. The associated impacts were identified as support and validation; behavioural change/applying coping strategies; clarification, awareness, and insight; reassurance/relief; and self-efficacy/empowerment. Hindering events were identified as treatment content/form; and amount of work/technical issues, which led to impacts such as frustration/irritation; increased anxiety; and isolation. Conclusion: The implications of the results, potential future directions of research and limitations of the study are discussed.


2022 ◽  
Author(s):  
Zhe Bing ◽  
Xing Wang ◽  
Zhenliang Dong ◽  
Luobing Dong ◽  
Tao He

2021 ◽  
Author(s):  
Lucas Pacheco ◽  
Helder Oliveira ◽  
Denis Rosario ◽  
Zhongliang Zhao ◽  
Eduardo Cerqueira ◽  
...  

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