3,814 research outputs found

    The State of the Art of Information Integration in Space Applications

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    This paper aims to present a comprehensive survey on information integration (II) in space informatics. With an ever-increasing scale and dynamics of complex space systems, II has become essential in dealing with the complexity, changes, dynamics, and uncertainties of space systems. The applications of space II (SII) require addressing some distinctive functional requirements (FRs) of heterogeneity, networking, communication, security, latency, and resilience; while limited works are available to examine recent advances of SII thoroughly. This survey helps to gain the understanding of the state of the art of SII in sense that (1) technical drivers for SII are discussed and classified; (2) existing works in space system development are analyzed in terms of their contributions to space economy, divisions, activities, and missions; (3) enabling space information technologies are explored at aspects of sensing, communication, networking, data analysis, and system integration; (4) the importance of first-time right (FTR) for implementation of a space system is emphasized, the limitations of digital twin (DT-I) as technological enablers are discussed, and a concept digital-triad (DT-II) is introduced as an information platform to overcome these limitations with a list of fundamental design principles; (5) the research challenges and opportunities are discussed to promote SII and advance space informatics in future

    Di-ANFIS: an integrated blockchain–IoT–big data-enabled framework for evaluating service supply chain performance

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    Service supply chain management is a complex process because of its intangibility, high diversity of services, trustless settings, and uncertain conditions. However, the traditional evaluating models mostly consider the historical performance data and fail to predict and diagnose the problems’ root. This paper proposes a distributed, trustworthy, tamper-proof, and learning framework for evaluating service supply chain performance based on Blockchain and Adaptive Network-based Fuzzy Inference Systems (ANFIS) techniques, named Di-ANFIS. The main objectives of this research are: 1) presenting hierarchical criteria of service supply chain performance to cope with the diagnosis of the problems’ root; 2) proposing a smart learning model to deal with the uncertainty conditions by a combination of neural network and fuzzy logic, 3) and introducing a distributed Blockchain-based framework due to the dependence of ANFIS on big data and the lack of trust and security in the supply chain. Furthermore, the proposed six-layer conceptual framework consists of the data layer, connection layer, Blockchain layer, smart layer, ANFIS layer, and application layer. This architecture creates a performance management system using the Internet of Things (IoT), smart contracts, and ANFIS based on the Blockchain platform. The Di-ANFIS model provides a performance evaluation system without needing a third party and a reliable intermediary that provides an agile and diagnostic model in a smart and learning process. It also saves computing time and speeds up information flow.Service supply chain management is a complex process because of its intangibility, high diversity of services, trustless settings, and uncertain conditions. However, the traditional evaluating models mostly consider the historical performance data and fail to predict and diagnose the problems’ root. This paper proposes a distributed, trustworthy, tamper-proof, and learning framework for evaluating service supply chain performance based on Blockchain and Adaptive Network-based Fuzzy Inference Systems (ANFIS) techniques, named Di-ANFIS. The main objectives of this research are: 1) presenting hierarchical criteria of service supply chain performance to cope with the diagnosis of the problems’ root; 2) proposing a smart learning model to deal with the uncertainty conditions by a combination of neural network and fuzzy logic, 3) and introducing a distributed Blockchain-based framework due to the dependence of ANFIS on big data and the lack of trust and security in the supply chain. Furthermore, the proposed six-layer conceptual framework consists of the data layer, connection layer, Blockchain layer, smart layer, ANFIS layer, and application layer. This architecture creates a performance management system using the Internet of Things (IoT), smart contracts, and ANFIS based on the Blockchain platform. The Di-ANFIS model provides a performance evaluation system without needing a third party and a reliable intermediary that provides an agile and diagnostic model in a smart and learning process. It also saves computing time and speeds up information flow

    Digital twin in manufacturing : conceptual framework and case studies

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    The digital twin (DT) concept has a key role in the future of the smart manufacturing industry. This review paper aims to investigate the development of the digital twin concept, its maturity and its vital role in the fourth industrial revolution. Having identified its potential functionalities for the digitalisation of the manufacturing industry, the digital twin concept, its origin and perspectives from both the academic and industrial sectors are presented. The identified research gaps, trends and technical limitations hampering the implementation of digital twins are also discussed. In particular, this review attempts to address the research question on how the digital twin concept can support the realisation of an integrated, flexible and collaborative manufacturing environment which is one of the goals projected by the fourth industrial revolution. To address this, a conceptual framework supporting an integrated product-process digital twin for application in digitised manufacturing is proposed. The application and benefits of the proposed framework are presented in three case studies

    AI-driven approaches for optimizing the energy efficiency of integrated energy system

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    To decarbonize the global energy system and replace the unidirectional architecture of existing grid networks, integrated and electrified energy systems are becoming more demanding. Energy integration is critical for renewable energy sources like wind, solar, and hydropower. However, there are still specific challenges to overcome, such as their high reliance on the weather and the complexity of their integrated operation. As a result, this research goes through the study of a new approach to energy service that has arisen in the shape of data-driven AI technologies, which hold tremendous promise for system improvement while maximizing energy efficiency and reducing carbon emissions. This research aims to evaluate the use of data-driven AI techniques in electrical integrated energy systems, focusing on energy integration, operation, and planning of multiple energy supplies and demand. Based on the formation point, the main research question is: "To what extent do AI algorithms contribute to attaining greater efficiency of integrated grid systems?". It also included a discussion on four key research areas of AI application: Energy and load prediction, fault prediction, AI-based technologies IoT used for smart monitoring grid system optimization such as energy storage, demand response, grid flexibility, and Business value creation. The study adopted a two-way approach that includes empirical research on energy industry expert interviews and a Likert scale survey among energy sector representatives from Finland, Norway, and Nepal. On the other hand, the theoretical part was from current energy industry optimization models and a review of publications linked to a given research issue. The research's key findings were AI's significant potential in electrically integrated energy systems, which concluded AI's implication as a better understanding of energy consumption patterns, highly effective and precise energy load and fault prediction, automated energy management, enhanced energy storage system, more excellent business value, a smart control center, smooth monitoring, tracking, and communication of energy networks. In addition, further research directions are prospects towards its technical characteristics on energy conversion

    Synchromodality as a prospective digitalization scheme for freight logistics : a pre-study report

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    The proliferation of digital technologies presents a potential avenue to transform the freight logistics industry by streamlining the information flow, increasing the flexibility of transportation routes, and creating a more effective and efficient freight logistics system. In an endeavor to gain a comprehensive understanding of the industry’s needs/challenges and to formulate a proficient policy framework to address them, a pre-study was undertaken at the World Maritime University (WMU). This scholarly exploration centered on the concept of synchromodality, which involves the harmonization of different freight logistics modalities. The study delineates a working definition of synchromodality within the context of freight logistics. Furthermore, it proffers a Synchromodality Maturity Model designed to evaluate the digitalization progress of stakeholders in the industry. This assessment is supported by case investigations into Roll-on/Roll-off logistics in Sweden. Working Definition: Synchromodality is an operational concept applicable to freight logistics for the purpose of adding value to customers by organizing and utilizing resources in an effective and efficient way, that can be achieved through facilitating integration amongst stakeholders along the logistics chain and enhancing their operational visibility and flexibility. The outcomes of this study carry noteworthy implications for both policy formulation and industrial implementation. The study advocates that policymakers allocate considerable resources to invest in digital infrastructure and establish standardized data protocols to foster collaborative partnerships. Moreover, logistics service providers are encouraged to pivot their strategies on generating customer value, nurturing collaborative ecosystems, and enhancing human capital in the context of data-centric methodologies. It is postulated that synchromodality could increase operational efficiency through optimal utilization of transportation resources, improve environmental sustainability, and enhance customer satisfaction. Exploring future studies in this area is required to achieve synchromodality in practice, such as: Towards enhancing digital infrastructure for greater freight logistics services Towards striving for seamless integration of all stakeholders in freight logistics chains Towards facilitating technology adoption in the freight logistics network This pre-study project was funded by Trafikverket and was supported by various logistics companies, shippers, and academic organizations.https://commons.wmu.se/lib_reports/1092/thumbnail.jp

    Microgrid Digital Twins:Concepts, Applications, and Future Trends

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    Future Directions of Internet-based Control Systems

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    Recent advances in object-oriented, client/server technologies, and the Internet are supplying the technology enablers needed to provide a uniform information architecture that can be used to build software architecture allowing the inter-operation and integration of a wide set of diverse applications. Moreover the emerging standards start playing a significant role in the shaping of automation architectures in enterprises. The inclusion within a classical control system of Internet-related technologies and open distributed application concepts would give the present system compliance with current and future technological trends. At the present time, in the field of the industrial automation, real-time embedded control systems more and more need Internet connectivity for operations of remote plant administration, training, and supervisory activities. In this paper the state of the art in embedded control systems is presented within the field of industrial automation applications, and the technological scenario is discussed, followed by the trend for the evolution in process control systems. Guidelines for the design of innovative, thus competitive control systems are suggested. A case study is presented, outcome of an EC project in which one of the authors is involved, where a remote maintenance system is realized

    Is healthcare ready for a digital future?

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    While digital transformation is widespread in industry, health-care has only started to follow a similar path in the last few years, with COVID-19 leading to rapid acceleration. With the rise of the Internet of Medical Things, integrated care networks and connected healthcare, new opportunities emerge

    The symbiosis between integrated distribution systems and contemporary information technologies

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    Distribution systems as we know them today are the result of their interaction with business environment factors and information technologies. Based on the conceptual characteristics of integrated distribution systems and the role of information technologies to their development, this paper aims to present a new concept about the relationship between them as a symbiotic, bidirectional and stimulating one. We have outlined in detail the major aspects of that relationship; the short-term and long-term effects, which it produces, as well as the prospects for their further symbiosis
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