scholarly journals From Automation System to Autonomous System: An Architecture Perspective

2021 ◽  
Vol 9 (6) ◽  
pp. 645
Author(s):  
Hualong Chen ◽  
Yuanqiao Wen ◽  
Man Zhu ◽  
Yamin Huang ◽  
Changshi Xiao ◽  
...  

Autonomy is the core capability of future systems, and architecture design is one of the critical issues in system development and implementation. To discuss the architecture of autonomous systems in the future, this paper reviews the developing progress of architectures from automation systems to autonomous systems. Firstly, the autonomy and autonomous systems in different fields are summarized. The article classifies and summarizes the architecture of typical automated systems and infer three suggestions for building an autonomous system architecture: extensibility, evolvability, and collaborability. Accordingly, this paper builds an autonomous waterborne transportation system, and the architecture is composed of the object layer, cyberspace layer, cognition layer, and application layer, the proposed suggestions made in the construction of the architecture are reflected in the inter-relationships at all layers. Through the cooperation of four layers, the autonomous waterborne transportation system can autonomously complete the system functions, such as system control and transportation service. In the end, the characteristics of autonomous systems are concluded, from which the future primary research directions and the challenges of autonomous systems are provided.

Author(s):  
Prihatini .

In most laboratory LAS (Laboratory Automation System) system recently have been used. though, not all of them used theautomation system and LIS.the LAS is used for the diagnosis of diseases, because it can decrease the error factors as weel as thelaboratoric examination. Regarding to decreasing problems, the expenses of patients who staying in the hospitals could be reduced aswell as their time to stay. the purpose of this article is to know comprehensively LAS and its services in the future in the hospitals' clinicallaboratory. Because before LAS was used the diagnosis time of diseases take a long time as compared to LAS.


2021 ◽  
Vol 69 (1) ◽  
pp. 3-13
Author(s):  
Manuel Müller ◽  
Timo Müller ◽  
Behrang Ashtari Talkhestani ◽  
Philipp Marks ◽  
Nasser Jazdi ◽  
...  

AbstractAutonomous systems are increasingly discussed in the domain of industrial automation. However, there is no consensus in the literature about the definition of industrial autonomous systems, what characteristics do they possess and how to distinguish them from intelligent industrial automation systems. Another important aspect is the comparison between the degree of automation and autonomy. Addressing this confusion, this paper starts with an analysis of the historical development of the term autonomy. Based on the similarities in the definitions, that were identified in a literature review, a comprehensive definition of industrial autonomous systems is presented, and four main characteristics of an industrial autonomous system are derived. Consequently, the characteristics for the realization of an industrial autonomous system (1) systematic process execution, (2) adaptability, (3) self-governance and (4) self-containedness are described in detail. Another objective of this contribution is to assist the developers of industrial autonomous systems to take the above-mentioned characteristics into account. Furthermore, the developer is advised which abilities can be used to achieve the corresponding essential characteristics of industrial autonomous systems. To illustrate the characteristics and abilities of an industrial autonomous system, this paper gives a detailed description of three realized cases of application in industry.


2020 ◽  
Author(s):  
Tim McFarland

[Law and the Future of War Research Paper No 2] This paper investigates the notion of autonomy as it applies to software and cyber-physical systems, with a focus on matters which bear some significance to the application of relevant bodies of international law. As autonomy, in the context of software, is a technical term rather than a legal or philosophical one, a bottom-up approach is taken, beginning with a description of the technical origins and meaning of the term ‘autonomous’. Based on that, two important relationships are discussed: that between the autonomous system and its environment, and between the system and its operator. Finally, several aspects of autonomy of relevance to a legal analysis are discussed: autonomous systems do not necessarily behave differently to manually operated systems; autonomous systems are not ‘independent’ of humans for the purposes of a legal analysis; and the relative contributions of human and machine in an operation involving an autonomous system are likely to be complex and variable, such that they should arguably be viewed as a form of collaboration between human and machine rather than a simple delegation of the entirety of a task to a machine.


2021 ◽  
Vol 1 ◽  
pp. 3249-3258
Author(s):  
Tim Heikkinen

AbstractOne challenge with design automation is system transparency with adjustable granularity because of the many different forms of representation from multiple disciplines. Previous research has focused on visualization through the generation of graphs, packaging into electronic books, and model highlighting. The research presented in this paper focuses instead on a visual programming approach, commonly applied in the building industry, where design assets and external references are wrapped into visual components and managed on a canvas with information input/output relations displayed. This entails additional documentation efforts, but the visualization is arguably more useful as groups and levels of granularity are adjusted by the engineers themselves as a part of the development work. To explore visual programming and its potential benefits as a way of enabling transparency with adjustable granularity of DA systems within mechanical manufacturing industry, an existing textual design automation system was transformed into a visual one using Grasshopper® (a visual programming environment) and discussed with respect to DA system transparency, feature-based CAD, and DA system development.


Author(s):  
Colin Gardner ◽  
Patricia MacCormack

In spite of becoming-animal being a key concept in Deleuze and Guattari, this is the first volume to address the ambiguous idea of the animal as human and nonhuman life infiltrating all of Deleuze’s work. Contemporary applications of animality in Deleuze in film, television, music, gaming and art are collected alongside critical issues of ethics, activism and ecology in consideration of the future of our understanding of life and the animal as both the kingdom of which the human is part and the first dividing line of identity within the anthropocene. The Introduction provides summaries of all 16 chapters, tying them to common threads in Deleuze and Guattari’s writings as well as establishing innovative trajectories for future readings of animality in Deleuze in a variety of fields.


Author(s):  
Judson Barcelos Gonçalves ◽  
Iago Marques Nunes ◽  
Luiz Rafael Resende da Silva ◽  
Douglas Ruy S S Araujo ◽  
Giuliano Souza ◽  
...  

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Johannes Ossig ◽  
Stephanie Cramer ◽  
Klaus Bengler

In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This paper presents an ontology for automated vehicle behavior which takes into account a large number of existing definitions and previous studies. This ontology is characterized by an applicability for various levels of automated driving and a clear conceptual distinction between characteristics of vehicle occupants, the automation system, and the conventional characteristics of a vehicle. In this context, the terms ‘driveability’, ‘driving behavior’, ‘driving experience’, and especially ‘driving style’, which are commonly associated with non-automated driving, play an important role. In order to clarify the relationships between these terms, the ontology is integrated into a driver-vehicle system. Finally, the ontology developed here is used to derive recommendations for the future design of automated driving styles and in general for further human-centered research on automated driving.


2019 ◽  
Vol 9 (1) ◽  
pp. 561-570
Author(s):  
Khoa Dang ◽  
Igor Trotskii

AbstractEver growing building energy consumption requires advanced automation and monitoring solutions in order to improve building energy efficiency. Furthermore, aggregation of building automation data, similarly to industrial scenarios allows for condition monitoring and fault diagnostics of the Heating, Ventilations and Air Conditioning (HVAC) system. For existing buildings, the commissioned SCADA solutions provide historical trends, alarms management and setpoint curve adjustments, which are essential features for facility management personnel. The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure. This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions. The implementation solution is realized and evaluated for a nearly zero energy building, as a case study.


Author(s):  
Zhendong Zhao ◽  
Changzheng Hu

With an increasing number of vehicles and increasing environmental protection requirements, countries have accelerated the rate of revision of automobile noise standards and legislation. Scientific prediction of the limiting values in future noise standards is helpful to promote the development of automobile noise reduction technology and measurement analysis technology. The development of noise standard limits has its own objective laws and is restricted to the current and future developments in automotive technology. The amplitude of noise will be reduced increasingly less in the future. Grey prediction theory can explore the variation rules by processing a few effective data. In this paper, grey theory is used to deal with the limited original data in the vehicle noise standard. Non-equal-interval quadratic fitting of the grey Verhulst direct model to predict the future noise standard limits is selected on the basis of calculation and comparison of different models. The Verhulst model is employed to describe the system development by using the characteristics of saturation. By means of quadratic fitting, the accuracy of the Verhulst model can be further improved. The simulation results show the validity and the accuracy of the model. The prediction result is useful for standards and regulations makers and for car manufacturers.


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