5,886 research outputs found

    The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

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    The Internet of Things (IoT) is a dynamic global information network consisting of internet-connected objects, such as Radio-frequency identification (RFIDs), sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future internet. Over the last decade, we have seen a large number of the IoT solutions developed by start-ups, small and medium enterprises, large corporations, academic research institutes (such as universities), and private and public research organisations making their way into the market. In this paper, we survey over one hundred IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications. More importantly, we identify the trends, opportunities and open challenges in the industry-based the IoT solutions. Based on the application domain, we classify and discuss these solutions under five different categories: smart wearable, smart home, smart, city, smart environment, and smart enterprise. This survey is intended to serve as a guideline and conceptual framework for future research in the IoT and to motivate and inspire further developments. It also provides a systematic exploration of existing research and suggests a number of potentially significant research directions.Comment: IEEE Transactions on Emerging Topics in Computing 201

    Intelligent negotiation mechanism for supporting the interoperability within the sensing enterprise

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    The authors wish to acknowledge the support of the European Commission through the funding of the UNITE, MSEE and IMAGINE FP7 projects, and the European Space Agency - Concurrent Design Facility (ESA-CDF) for their support in the development of the business case presented in this paper.The Sensing Enterprise is a novel concept that refers to an enterprise anticipating future decisions by using multi-dimensional information captured through physical and virtual objects. The Sensing Enterprise concept is shifting focus towards a borderless enterprise, having at its core the collaboration and continuous interactions among smart objects and systems. But in the actual competitive and global business context, the maintenance of the collaboration environment through the interoperation among heterogeneous smart virtual and physical objects in a collaborative organizational environment becomes difficult to achieve. Therefore, in a dynamic context a change in any component of the networked partners affects the others, creating difficulties to sustain operating networked environment. In this respect, this paper proposes an intelligent negotiation framework as a key mechanism to achieve and maintain the interoperability between the organisations' smart objects and applications, and its validation in an industrial scenario. To allow a sustainable, flexible and generic approach towards the infrastructure implementation in global scale, a cloud-based platform is proposed for setting of the Sensing Enterprise framework.publishersversionpublishe

    Monitoring and Information Alignment in Pursuit of an IoT-Enabled Self-Sustainable Interoperability

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    To remain competitive with big corporations, small and medium-sized enterprises (SMEs) often need to be more dynamic, adapt to new business situations, react faster, and thereby survive in today‘s global economy. To do so, SMEs normally seek to create consortiums, thus gaining access to new and more opportunities. However, this strategy may also lead to complications. Due to the different sources of enterprise models and semantics, organizations are experiencing difficulties in seamlessly exchanging vital information via electronic means. In their attempt to address this issue, most seek to achieve interoperability by establishing peer-to-peer mappings with different business partners, or by using neutral data standards to regulate communications in optimized networks. Moreover, systems are more and more dynamic, frequently changing to answer new customer‘s requirements, causing new interoperability problems and a reduction of efficiency. Another situation that is constantly changing is the devices used in the enterprises, as the Enterprise Information Systems, devices are used to register internal data, and to be used to monitor several aspects. These devices are constantly changing, following the evolution and growth of the market. So, it is important to monitor these devices and doing a model representation of them. This dissertation proposes a self-sustainable interoperable framework to monitor existing enterprise information systems and their devices, monitor the device/enterprise network for changes and automatically detecting model changes. With this, network harmonization disruptions are detected in a timely way, and possible solutions are suggested to regain the interoperable status, thus enhancing robustness for reaching sustainability of business networks along time

    Novel strategies for global manufacturing systems interoperability

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    Keywords Co-occurrence Analysis of Research on Sustainable Enterprise and Sustainable Organisation

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    Purpose: The aim of the paper is to identify and explore leading thematic areas within the research field related to a sustainable enterprise/organisation. The following research questions are asked to achieve the aim of the study: (1) What are the leading areas/topics of scientific inquiry in the research field? (2) What is the research status in the leading research areas/topics? (3) What are the most up-to-date (emerging) topics in the field?Design/methodology/approach: Analysis of keywords co-occurrence is the bibliometric method used to map the research field. The methodology of systematic literature review is applied in order to conduct the analysis of research status in the identified leading thematic areas within the research field.Findings: The study identifies and discusses seven streams of research associated with the concept of a sustainable enterprise i.e. (1) sustainable development and sustainable enterprise idea, (2) sustainability, (3) strategic management and functional areas management, (4) human and organisational context, (5) sustainable manufacturing, (6) industrial context and (7) environmental management. Moreover, emerging, ‘hot’ topics attracting a growing attention of the research community in recent years are enumerated, which include such issues as: (1) the concept of the sustainable, smart and sensing enterprise, (2) sustainable enterprise resource planning and allocation, (3) building competitive advantage in a sustainable enterprise, (4) managing sales in a sustainable enterprise,(5) managing sustainable supply chains, and (6) developing sustainable enterprise excellence.Research and practical limitations/implications: Mapping of the research field and identifying emerging topics provides guidelines for further studies, which can be considered as valuable contribution to the theory and research development. However, due to the theoretical character of the study its practical implications are rather limited.Originality/value: As a bibliometric study, the paper generates the added value mainly from the point of view of the theory development. Its originality derives from a very limited number of studies which use the methodology of keywords analysis to map the research field and identify leading topics within it.Paper type: review paper

    Integration of environmental data in BIM tool & linked building data

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    Environmental assessment is a critical need to ensure building sustainability. In order to enhance the sustainability of building, involved actors should be able to access and share not only information about the building but also data about products and especially their environmental assessment. Among several approaches that have been proposed to achieve that, semantic web technologies stand out from the crowd by their capabilities to share data and enhance interoperability in between the most heterogeneous systems. This paper presents the implementation of a method in which semantic web technologies and particularly Linked Data have been combined with Building Information Modelling (BIM) tools to foster building sustainability by introducing products with their environmental assessment in building data during the modelling phase. Based on Linked Building Data (LBD) vocabularies and environmental data, several ontologies have been generated in order to make both of them available as Resource Description Framework (RDF) graphs. A database access plugin has been developed and installed in a BIM tool. In that way, the LBD generated from the BIM tool contains, for each product a reference to its environmental assessment which is contained in a triplestore
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