Feature Extraction and Classification in Brain-Computer Interfacing: Future Research Issues and Challenges

The 5G wireless communication network is currently faced with the challenge of limited data speed exacerbated by the proliferation of billions of data-intensive applications. To address this problem, researchers are developing cutting-edge technologies for the envisioned 6G wireless communication standards to satisfy the escalating wireless services demands. Though some of the candidate technologies in the 5G standards will apply to 6G wireless networks, key disruptive technologies that will guarantee the desired quality of physical experience to achieve ubiquitous wireless connectivity are expected in 6G. This article first provides a foundational background on the evolution of different wireless communication standards to have a proper insight into the vision and requirements of 6G. Second, we provide a panoramic view of the enabling technologies proposed to facilitate 6G and introduce emerging 6G applications such as multi-sensory–extended reality, digital replica, and more. Next, the technology-driven challenges, social, psychological, health and commercialization issues posed to actualizing 6G, and the probable solutions to tackle these challenges are discussed extensively. Additionally, we present new use cases of the 6G technology in agriculture, education, media and entertainment, logistics and transportation, and tourism. Furthermore, we discuss the multi-faceted communication capabilities of 6G that will contribute significantly to global sustainability and how 6G will bring about a dramatic change in the business arena. Finally, we highlight the research trends, open research issues, and key take-away lessons for future research exploration in 6G wireless communication.

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A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing

Robotics and Autonomous Systems ◽

10.1016/j.robot.2019.02.015 ◽

2019 ◽

Vol 116 ◽

pp. 98-113 ◽

Cited By ~ 8

Author(s):

D. Kuhner ◽

L.D.J. Fiederer ◽

J. Aldinger ◽

F. Burget ◽

M. Völker ◽

...

Keyword(s):

Deep Learning ◽

Autonomous Robotics ◽

Brain Computer Interfacing ◽

Computer Interfacing

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A Study on Strategic Provisioning of Cloud Computing Services

The Scientific World JOURNAL ◽

10.1155/2014/894362 ◽

2014 ◽

Vol 2014 ◽

pp. 1-16 ◽

Cited By ~ 28

Author(s):

Md Whaiduzzaman ◽

Mohammad Nazmul Haque ◽

Md Rejaul Karim Chowdhury ◽

Abdullah Gani

Keyword(s):

Cloud Computing ◽

Cloud Service ◽

Future Research ◽

User Requirements ◽

Service Provisioning ◽

Research Issues ◽

Computing Services ◽

Cloud Computing Service ◽

Essential Services ◽

Cloud Providers

Cloud computing is currently emerging as an ever-changing, growing paradigm that models “everything-as-a-service.” Virtualised physical resources, infrastructure, and applications are supplied by service provisioning in the cloud. The evolution in the adoption of cloud computing is driven by clear and distinct promising features for both cloud users and cloud providers. However, the increasing number of cloud providers and the variety of service offerings have made it difficult for the customers to choose the best services. By employing successful service provisioning, the essential services required by customers, such as agility and availability, pricing, security and trust, and user metrics can be guaranteed by service provisioning. Hence, continuous service provisioning that satisfies the user requirements is a mandatory feature for the cloud user and vitally important in cloud computing service offerings. Therefore, we aim to review the state-of-the-art service provisioning objectives, essential services, topologies, user requirements, necessary metrics, and pricing mechanisms. We synthesize and summarize different provision techniques, approaches, and models through a comprehensive literature review. A thematic taxonomy of cloud service provisioning is presented after the systematic review. Finally, future research directions and open research issues are identified.

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Feature-Based Design: 4 Hypotheses for Future CAD Systems

13th Computers in Engineering Conference ◽

10.1115/cie1993-0015 ◽

1993 ◽

Author(s):

David W. Rosen

Keyword(s):

Future Research ◽

Design Activity ◽

Research Directions ◽

Research Issues ◽

Cad Systems ◽

Feature Representations ◽

Feature Based ◽

Computer Based ◽

Definition Of ◽

Feature Based Design

Abstract Features are meaningful abstractions of geometry that engineers use to reason about components, products, and processes. For design activity, features are design primitives, serve as the basis for product representations, and can incorporate information relevant to life-cycle activities such as manufacturing. Research on feature-based design has matured to the point that results are being incorporated into commercial CAD systems. The intent here is to classify feature-based design literature to provide a solid historical basis for present research and to identify promising research directions that will affect computer-based design tools within the next few years. Applications of feature-based design and technologies of feature representations are reviewed. Open research issues are identified and put in the context of past and current work. Four hypotheses are proposed as challenges for future research: two on the existence of fundamental sub-feature elements and relationships for features, one that presents a new definition of design features, and one that argues for the successful development of concurrent engineering languages. Evidence for these hypotheses is provided from recent research results and from speculation about the future of feature-based design.

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