scholarly journals System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 27091-27102 ◽  
Author(s):  
Ngoc Duy Nguyen ◽  
Thanh Nguyen ◽  
Saeid Nahavandi
Keyword(s):  
Reinforcement Learning ◽  
System Design ◽  
Design Perspective

Introducing reinforcement learning to the energy system design process

2020 ◽  
Vol 262 ◽  
pp. 114580 ◽  
Author(s):  
A.T.D. Perera ◽  
P.U. Wickramasinghe ◽  
Vahid M. Nik ◽  
Jean-Louis Scartezzini
Keyword(s):  
Reinforcement Learning ◽  
System Design ◽  
Design Process ◽  
Energy System

A System Design Perspective on Optical Interconnection Technology

1993 ◽  
Vol 72 (5) ◽  
pp. 37-49
Author(s):  
Ronald A. Nordin ◽  
Anthony F. J. Levi
Keyword(s):  
System Design ◽  
Optical Interconnection ◽  
Design Perspective

Enterprise-in-Environment Adaptation

2014 ◽  
pp. 216-236
Author(s):  
James S. Lapalme ◽  
Donald W. de Guerre
Keyword(s):  
System Design ◽  
Enterprise Architecture ◽  
Complexity Management ◽  
It Systems ◽  
Environment Adaptation ◽  
Worker Empowerment ◽  
Deep Culture ◽  
Design Perspective ◽  
Technical Systems ◽  
Participative Design

Enterprise Architecture (EA) is a consulting practice and discipline intended to improve the management and functioning of complex organizations. The various approaches to EA can be classified by how they define what is to be architected and what, as a result, is the relevant environment. Traditionally, management has been understood as “Planning, Organizing, Command, Coordinating, and Controlling” (POCCC), that is, the role is bounded within the organization. The corresponding EA approach suggests architecting IT systems to support management, with the implicit environment being members of the organization as well as partner organizations. As the objective of EA practice expands to include organizational members, technical systems, and a wider set of stakeholders, so too does the complexity it must address. This results in an enlarged domain of issues and concerns. Finally, if the objective of EA is a sustainable enterprise, then physical, societal, and ecological environments radically increase the complexity of actualizing this goal. Corresponding to this increase in scope is a parallel shift in the scope of management concerns. With the goal of pushing EA towards concerns regarding enterprise sustainability, an open socio-technical system design perspective of EA, which we have named Enterprise-in-Environment Adaptation (EiEA), is discussed. EiEA offers a comprehensive approach to respond to the demands for complexity management that arise when working towards enterprise sustainability; yet, it requires that organisations also embrace deep culture changes, such as participative design, worker empowerment, as well as shared accountability and responsibility, to name a few.

A review of DoS attack models for 3G cellular networks from a system-design perspective

2010 ◽  
Vol 33 (5) ◽  
pp. 551-558 ◽  
Author(s):  
Fabio Ricciato ◽  
Angelo Coluccia ◽  
Alessandro D’Alconzo
Keyword(s):  
System Design ◽  
Cellular Networks ◽  
Dos Attack ◽  
Design Perspective ◽  
Attack Models

Engineering Resilience Quantification and Design Implications: A Literature Survey

2016 ◽  
Author(s):  
Nita Yodo ◽  
Pingfeng Wang
Keyword(s):  
System Design ◽  
Engineering Design ◽  
Measurement Techniques ◽  
Building Blocks ◽  
Literature Survey ◽  
Engineering Systems ◽  
Design Processes ◽  
Engineering Discipline ◽  
Design Perspective ◽  
Engineering Practices

A resilient system is a system that possesses the ability to survive and recover from the likelihood damage of disruptive events or mishaps. The concept that incorporates resiliency into engineering practices is known as engineering resilience. To date, engineering resilience is still predominantly application-oriented. Despite an increased popularity of engineering resilience usage, the diversity of its application in various engineering sectors complicates the universal agreements on its quantification and measurement techniques. There is a pressing need to develop a universal framework, which standardize the modeling, assessment, and improvement of engineering resilience for a broader engineering discipline. This paper provides a literature survey of engineering resilience from the design perspective with the focuses on engineering resilience metrics and their design implications. The currently available engineering resilience quantification metrics are reviewed and summarized, the design implications towards the development of resilient engineering systems are discussed, and further the challenges of incorporating resilience into engineering design processes are evaluated. The presented study expects to serve as the building blocks towards developing a generally applicable engineering resilience quantification metrics that can be used for system design.

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