Special Issue "Advances in Systems Engineering Interoperability: Engineering Design and Operation"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2022 | Viewed by 2289

Special Issue Editors

Dr. José María Alvarez Rodríguez
E-Mail Website
Guest Editor
Department of Computer Science and Engineering, Carlos III University of Madrid, 28903 Madrid, Spain
Interests: interoperability; software engineering; systems engineering; knowledge engineering; model-based systems engineering; service-oriented computing
Dr. Javier García-Heras Carretero
E-Mail Website
Guest Editor
Department of Bioengineering and Aerospace Engineering, Universidad Carlos III, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain
Interests: model-based systems engineering; reuse; simulation; air navigation; 4D trajectory management; machine learning; avionics systems

Special Issue Information

Dear Colleagues,

The development and operation of software-intensive complex systems is becoming more challenging than ever. The implicit need for the continuous delivery of new products and services (cyber-physical systems) in a timely and cost-effective manner is a cornerstone for the realization of Industry 4.0, especially in the case of safety-critical systems equipped with non-deterministic functions. The digitalization of engineering (DE) is also gaining momentum in the systems and software engineering discipline, with the aim of shifting the paradigm to the design and operation of these complex systems incorporating multiple engineering disciplines. In this context, interoperability emerges as a key enabler to build collaborative engineering environments in which people, processes, methods, and tools are perfectly synchronized to build complex systems making use of methods and techniques such as digital twins, simulation, model-based systems engineering, service-oriented computing, etc. The need of communicating and exchanging data, information, and knowledge between organizations, tools, and people is also increasing. To enable this, it is necessary to establish new mechanisms that can support engineers to easily represent and organize domain knowledge, integrate and exchange data, expose and consume functionalities, and manage the engineering process under a standardized and interoperable environment. This Special Issue aims to bring together research works and real-world use cases, scenarios, and approaches focused on the improvement of the software and systems engineering process through interoperable mechanisms applied to the design and operation of software-intensive systems.

Dr. José María Alvarez Rodríguez
Dr. Javier García-Heras Carretero
Guest Editors

Manuscript Submission Information

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Keywords

  • interoperability in the engineering design process
  • interoperability in the operation environment
  • engineering methods and interoperability
  • tools and platforms for interoperability
  • data, information, and knowledge representation and exchange
  • functionality and service representation and invocation
  • languages and standards for content- and context-based interoperability in the engineering domain
  • applications and real-world use cases of interoperability in the engineering lifecycle

Published Papers (3 papers)

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Research

Article
Time-Optimal Trajectory Planning of Six-Axis Manipulators Based on the Improved Direct Collocation Method with FMU
Appl. Sci. 2022, 12(13), 6741; https://doi.org/10.3390/app12136741 - 03 Jul 2022
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Abstract
The trajectory planning method with dynamics is the key to improving the motion performance of manipulators. The optimal control method (OCM) is a key technology to solve optimal problems with dynamics. There are direct and indirect methods in OCM; indirect methods are difficult [...] Read more.
The trajectory planning method with dynamics is the key to improving the motion performance of manipulators. The optimal control method (OCM) is a key technology to solve optimal problems with dynamics. There are direct and indirect methods in OCM; indirect methods are difficult to apply to engineering applications, and so direct methods are widely applied instead. The direct collocation method (DCM) is a technology in OCM to transform an optimal control problem (OCP) to a nonlinear problem (NLP), so that plenty of solvers can be used directly. However, the general DCM, for which it has been found that the explicit form of the right-hand-side (RHS) functions of state equations of the complex system in the OCP is hard to derive, is limited to solving the OCP of three-axis manipulators. This paper proposes an improved DCM to solve the OCP of six-axis manipulators, which can find the solution of the time-optimal trajectory for the motion of six-axis manipulators based on the improved DCM. The proposed method derives the RHS equations implicitly by introducing a Functional Mock-up Unit (FMU), which simplifies the representation of the RHS equations as a black-box model, so that the DCM can be applied to the OCP of six-axis manipulators. A simulation case of a three-axis manipulator accomplished in a related study works as a reference compared with our improved method to verify the solution consistence between the DCM using the explicit RHS equations or using the implicit RHS equations, and the loss of computational efficiency is acceptable. In the meantime, a simulation solution and an experiment of six-axis manipulators, which is a novel advancement, are presented to validate the proposed method. Full article
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Article
SCM-IoT: An Aproach for Internet of Things Services Integration and Coordination
Appl. Sci. 2022, 12(6), 3133; https://doi.org/10.3390/app12063133 - 18 Mar 2022
Viewed by 567
Abstract
Today, new applications demand an internet of things (IoT) infrastructure with greater intelligence in our daily use devices. Among the salient features that characterize intelligent IoT systems are interoperability and dynamism. While service-oriented architectures (SOA) offer a well-developed and standardized architecture and protocols [...] Read more.
Today, new applications demand an internet of things (IoT) infrastructure with greater intelligence in our daily use devices. Among the salient features that characterize intelligent IoT systems are interoperability and dynamism. While service-oriented architectures (SOA) offer a well-developed and standardized architecture and protocols for interoperability, answering whether SOA offers enough dynamism to merge IoT with artificial intelligence (AI) is still in its beginnings. This paper proposes an SOA model, called SCM-IoT (service composition model for IoT), for incorporating AI into IoT systems, addressing their coordination by a mediator offering services for storage, production, discovery, and notification of relevant data for client applications. The model allows IoT systems to be incrementally developed from three perspectives: a conceptual model, platform-independent computational model, and platform-dependent computational model. Finally, as a case of study, a domotic IoT system application is developed in SCM-IoT to analyze the characteristics and benefits of the proposed approach. Full article
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Article
Service Interface Translation. An Interoperability Approach
Appl. Sci. 2021, 11(24), 11643; https://doi.org/10.3390/app112411643 - 08 Dec 2021
Viewed by 409
Abstract
Interoperability plays an important role in Industry 4.0. Interoperability in the engineering process allows the automation of the engineering phase, reducing the human effort involved and the associated engineering costs. It improves the quality of the engineering process and its overall efficiency. Nevertheless, [...] Read more.
Interoperability plays an important role in Industry 4.0. Interoperability in the engineering process allows the automation of the engineering phase, reducing the human effort involved and the associated engineering costs. It improves the quality of the engineering process and its overall efficiency. Nevertheless, the diversity of available standards, devices, and systems leads to great levels of heterogeneity and makes it difficult to achieve the aforementioned interoperability. As the lack of interoperability increases, a generic solution to the problem is increasingly demanded by the industry. This paper approaches the interoperability problem from a service interface perspective. A novel approach is presented to address service interface heterogeneity. The proposed solution is based on service interface translation, which is achieved via the generation of service interfaces. A new system, the consumer interface generator system, has been designed and implemented to generate interface instances to solve the interoperability mismatches between service consumers and providers at runtime. In this paper, the autonomous consumer interface generation process, the system architecture, and the generated interface instance are described. The proposed approach has been validated through practical experimentation, including the implementation of a system prototype and a testbed. Full article
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