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See detailDecision support system for blockchain (DLT) platform selection based on ITU recommendations: A systematic literature review approach
Kubler, Sylvain UL; Renard, Matthieu; Ghatpande, Sankalp UL et al

in Expert systems with applications (2023), 211

Blockchain technologies, also known as Distributed Ledger Technologies (DLT), are increasingly being explored in many applications, especially in the presence of (potential) dis-/mis-/un-trust among ... [more ▼]

Blockchain technologies, also known as Distributed Ledger Technologies (DLT), are increasingly being explored in many applications, especially in the presence of (potential) dis-/mis-/un-trust among organizations and individuals. Today, there exists a plethora of DLT platforms on the market, which makes it challenging for system designers to decide what platform they should adopt and implement. Although a few DLT comparison frameworks have been proposed in the literature, they often fail in covering all performance and functional aspects, adding that they too rarely build upon standardized criteria and recommendations. Given this state of affairs, the present paper considers a recent and exhaustive set of assessment criteria recommended by the ITU (International Telecommunication Union). Those criteria (about fifty) are nonetheless mostly defined in a textual form, which may pose interpretation problems during the implementation process. To avoid this, a systematic literature review regarding each ITU criterion is conducted with a twofold objective: (i) to understand to what extent a given criterion is considered/evaluated by the literature; (ii) to come up with ‘formal’ metric definition (i.e., on a mathematical or experimental ground) based, whenever possible, on the current literature. Following this formalization stage, a decision support tool called CREDO-DLT, which stands for “multiCRiteria-basEd ranking Of Distributed Ledger Technology platforms”, is developed using AHP and TOPSIS, which is publicly made available to help decision-maker to select the most suitable DLT platform alternative (i.e., that best suits their needs and requirements). A use case scenario in the context of energy communities is proposed to show the practicality of CREDO-DLT. •Blockchain (DLT) standardization initiatives are reviewed.•To what extent ITU’s DLT assessment criteria are covered in literature is studied.•A mathematical formalizations of the ITU recommendations are proposed.•A decision support tool (CREDO-DLT) is designed for DLT platform selection.•An energy community use case is developed to show the practicality of CREDO-DLT. [less ▲]

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See detailGreenhouse gas emission reduction in residential buildings: A lightweight model to be deployed on edge devices
Ortiz, Paul; Kubler, Sylvain UL; Rondeau, Éric et al

in Journal of cleaner production (2022), 368

Keywords Greenhouse gas emission; Energy efficiency; Photovoltaics; Battery; Edge computing; Linear programming Electricity produced and used in the residential sector is responsible for approximately 30 ... [more ▼]

Keywords Greenhouse gas emission; Energy efficiency; Photovoltaics; Battery; Edge computing; Linear programming Electricity produced and used in the residential sector is responsible for approximately 30% of the greenhouse gas emissions (GHGE). Insulating houses and integrating renewable energy and storage resources are key for reducing such emissions. However, it is not only a matter of installing renewable energy technologies but also of optimizing the charging/discharging of the storage units. A number of optimization models have been proposed lately to address this problem. However, they are often limited in several respects: (i) they often focus only on electricity bill reduction, placing GHGE reduction on the backburner; (ii) they rarely propose hybrid-energy storage optimization strategies considering thermal and storage heater units; (iii) they are often designed using Linear Programming (LP) or metaheuristic techniques that are computational intensive, hampering their deployment on edge devices; and (iv) they rarely evaluate how the model impacts on the battery lifespan. Given this state-of-affairs, the present article compares two approaches, the first one proposing an innovative sliding grid carbon intensity threshold algorithm developed as part of a European project named RED WoLF, the second one proposing an algorithm designed based on LP. The comparison analysis is carried out based on two distinct real-life scenarios in France and UK. Results show that both algorithms contribute to reduce GHGE compared to a solution without optimization logic (between 10 to 25%), with a slight advantage for the LP algorithm. However, RED WoLF makes it possible to reduce significantly the computational time ([almost equal to]25 min for LP against [almost equal to]1 ms for RED WoLF) and to extend the battery lifespan (4 years for LP against 12 years for RED WoLF). Author Affiliation: (a) Université de Lorraine, CNRS, CRAN, F-54000, France (b) Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, L-1359 Esch-sur-Alzette, Luxembourg (c) Department of Industrial and Systems Engineering, Rochester Institute of Technology, 81 Lomb Memorial Drive, Rochester, NY 14623, United States (d) School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, LS1 3HE, UK * Corresponding author. Article History: Received 12 March 2022; Revised 3 June 2022; Accepted 8 July 2022 (miscellaneous) Handling Editor: Panos Seferlis Byline: Paul Ortiz [paul.ortiz@univ-lorraine.fr] (a,*), Sylvain Kubler [s.kubler@univ-lorraine.fr] (a,b), Éric Rondeau [eric.rondeau@univ-lorraine.fr] (a), Katie McConky [ktmeie@rit.edu] (c), Alexander Alexandrovich Shukhobodskiy [A.Shukhobodskiy@leedsbeckett.ac.uk] (d), Giuseppe Colantuono [G.Colantuono@leedsbeckett.ac.uk] (d), Jean-Philippe Georges [jean-philippe.georges@univ-lorraine.fr] (a) [less ▲]

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See detailLOVBench: Ontology Ranking Benchmark
Kolbe, Niklas UL; Vandenbussche, Pierre-Yves; Kubler, Sylvain UL et al

in Proceedings of The Web Conference 2020 (WWW '20) (2020, April)

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See detailLinked Vocabulary Recommendation Tools for Internet of Things: A Survey
Kolbe, Niklas UL; Kubler, Sylvain UL; Robert, Jérémy UL et al

in ACM Computing Surveys (2019)

The Semantic Web emerged with the vision of eased integration of heterogeneous, distributed data on the Web. The approach fundamentally relies on the linkage between and reuse of previously published ... [more ▼]

The Semantic Web emerged with the vision of eased integration of heterogeneous, distributed data on the Web. The approach fundamentally relies on the linkage between and reuse of previously published vocabularies to facilitate semantic interoperability. In recent years, the Semantic Web has been perceived as a potential enabling technology to overcome interoperability issues in the Internet of Things (IoT), especially for service discovery and composition. Despite the importance of making vocabulary terms discoverable and selecting most suitable ones in forthcoming IoT applications, no state-of-the-art survey of tools achieving such recommendation tasks exists to date. This survey covers this gap, by specifying an extensive evaluation framework and assessing linked vocabulary recommendation tools. Furthermore, we discuss challenges and opportunities of vocabulary recommendation and related tools in the context of emerging IoT ecosystems. Overall, 40 recommendation tools for linked vocabularies were evaluated, both, empirically and experimentally. Some of the key ndings include that (i) many tools neglect to thoroughly address both, the curation of a vocabulary collection and e ective selection mechanisms; (ii) modern information retrieval techniques are underrepresented; and (iii) the reviewed tools that emerged from Semantic Web use cases are not yet su ciently extended to t today’s IoT projects. [less ▲]

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See detailPopularity-driven Ontology Ranking using Qualitative Features
Kolbe, Niklas UL; Kubler, Sylvain UL; Le Traon, Yves UL

in The Semantic Web - ISWC 2019 (2019)

Efficient ontology reuse is a key factor in the Semantic Web to enable and enhance the interoperability of computing systems. One important aspect of ontology reuse is concerned with ranking most relevant ... [more ▼]

Efficient ontology reuse is a key factor in the Semantic Web to enable and enhance the interoperability of computing systems. One important aspect of ontology reuse is concerned with ranking most relevant ontologies based on a keyword query. Apart from the semantic match of query and ontology, the state-of-the-art often relies on ontologies' occurrences in the Linked Open Data (LOD) cloud to determine relevance. We observe that ontologies of some application domains, in particular those related to Web of Things (WoT), often do not appear in the underlying LOD datasets used to define ontologies' popularity, resulting in ineffective ranking scores. This motivated us to investigate - based on the problematic WoT case - whether the scope of ranking models can be extended by relying on qualitative attributes instead of an explicit popularity feature. We propose a novel approach to ontology ranking by (i) selecting a range of relevant qualitative features, (ii) proposing a popularity measure for ontologies based on scholarly data, (iii) training a ranking model that uses ontologies' popularity as prediction target for the relevance degree, and (iv) confirming its validity by testing it on independent datasets derived from the state-of-the-art. We find that qualitative features help to improve the prediction of the relevance degree in terms of popularity. We further discuss the influence of these features on the ranking model. [less ▲]

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See detailKnowledge-based Consistency Index for Fuzzy Pairwise Comparison Matrices
Kubler, Sylvain UL; Derigent, William; Voisin, Alexandre et al

in Knowledge-based Consistency Index for Fuzzy Pairwise Comparison Matrices (2017, July 10)

Abstract—Fuzzy AHP is today one of the most used Multiple Criteria Decision-Making (MCDM) techniques. The main argument to introduce fuzzy set theory within AHP lies in its ability to handle uncertainty ... [more ▼]

Abstract—Fuzzy AHP is today one of the most used Multiple Criteria Decision-Making (MCDM) techniques. The main argument to introduce fuzzy set theory within AHP lies in its ability to handle uncertainty and vagueness arising from decision makers (when performing pairwise comparisons between a set of criteria/alternatives). As humans usually reason with granular information rather than precise one, such pairwise comparisons may contain some degree of inconsistency that needs to be properly tackled to guarantee the relevance of the result/ranking. Over the last decades, several consistency indexes designed for fuzzy pairwise comparison matrices (FPCMs) were proposed, as will be discussed in this article. However, for some decision theory specialists, it appears that most of these indexes fail to be properly “axiomatically” founded, thus leading to misleading results. To overcome this, a new index, referred to as KCI (Knowledge-based Consistency Index) is introduced in this paper, and later compared with an existing index that is axiomatically well founded. The comparison results show that (i) both indexes perform similarly from a consistency measurement perspective, but (ii) KCI contributes to significantly reduce the computation time, which can save expert’s time in some MCDM problems. [less ▲]

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See detailEnriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components
Kolbe, Niklas UL; Zaslavsky, Arkady; Kubler, Sylvain UL et al

in Modeling and Using Context (2017, July)

Theimportanceofsystem-levelcontext-andsituationaware- ness increases with the growth of the Internet of Things (IoT). This paper proposes an integrated approach to situation awareness by providing a ... [more ▼]

Theimportanceofsystem-levelcontext-andsituationaware- ness increases with the growth of the Internet of Things (IoT). This paper proposes an integrated approach to situation awareness by providing a semantically rich situation model together with reliable situation infer- ence based on Context Spaces Theory (CST) and Situation Theory (ST). The paper discusses benefits of integrating the proposed situation aware- ness framework with knowledge base and efficient reasoning techniques taking into account uncertainty and incomplete knowledge about situa- tions. The paper discusses advantages and impact of proposed context adaptation in dynamic IoT environments. Practical issues of two-way mapping between IoT messaging standards and CST are also discussed. [less ▲]

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See detailTowards Semantic Interoperability in an Open IoT Ecosystem for Connected Vehicle Services
Kolbe, Niklas UL; Kubler, Sylvain UL; Robert, Jérémy UL et al

in 2017 IEEE Global Internet of Things Summit (GIoTS) Proceedings (2017, July)

A present challenge in today’s Internet of Things (IoT) ecosystem is to enable interoperability across hetero- geneous systems and service providers. Restricted access to data sources and services limits ... [more ▼]

A present challenge in today’s Internet of Things (IoT) ecosystem is to enable interoperability across hetero- geneous systems and service providers. Restricted access to data sources and services limits the capabilities of a smart city to improve social, environmental and economic aspects. Interoperability in the IoT is concerned with both, messaging interfaces and semantic understanding of heterogeneous data. In this paper, the first building blocks of an emerging open IoT ecosystem developed at the EU level are presented. Se- mantic web technologies are applied to the existing messaging components to support and improve semantic interoperability. The approach is demonstrated with a proof-of-concept for connected vehicle services in a smart city setting. [less ▲]

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See detailApplication of Measurement-Based AHP to Product-Driven System Control
Derigent, William; Voisin, Alexandre; Thomas, André et al

in Borangiu, Theodor (Ed.) Service Orientation in Holonic and Multi-Agent Manufacturing (2017)

This paper presents an application of the measurements-based AHP to define a two-stage algorithm for product-driven systems control, in case of an unexpected event. This algorithm is made of two stages ... [more ▼]

This paper presents an application of the measurements-based AHP to define a two-stage algorithm for product-driven systems control, in case of an unexpected event. This algorithm is made of two stages: the first one aims to define which kind of strategy the product should adopt (wait ̧ react by it self or switch back to centralized mode) while the second one helps to choose the most appropriate resource able to fulfill the product requirements. The methodology is detailed on a simple case study. [less ▲]

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See detailOpen IoT Ecosystem for Sporting Event Management
Kubler, Sylvain UL; Robert, Jérémy UL; Främling, Kary et al

in IEEE Access (2017), 5(1), 7064-7079

By connecting devices, people, vehicles, and infrastructures everywhere in a city, governments and their partners can improve community well-being and other economic and financial aspects (e.g., cost and ... [more ▼]

By connecting devices, people, vehicles, and infrastructures everywhere in a city, governments and their partners can improve community well-being and other economic and financial aspects (e.g., cost and energy savings). Nonetheless, smart cities are complex ecosystems that comprise many different stakeholders (network operators, managed service providers, logistic centers, and so on), who must work together to provide the best services and unlock the commercial potential of the so-called Internet of Things (IoT). This is one of the major challenges that faces today’s smart city movement, and the emerging "API economy." Indeed, while new smart connected objects hit the market every day, they mostly feed "vertical silos" (e.g., vertical apps, siloed apps, and so on) that are closed to the rest of the IoT, thus hampering developers to produce new added value across multiple platforms and/or application domains. Within this context, the contribution of this paper is twofold: 1) present the strategic vision and ambition of the EU to overcome this critical vertical silos’ issue and 2) introduce the first building blocks underlying an open IoT ecosystem developed as part of an EU (Horizon 2020) Project and a joint project initiative (IoT-EPI). The practicability of this ecosystem, along with a performance analysis, is carried out considering a proof-of-concept for enhanced sporting event management in the context of the forthcoming FIFA World Cup 2022 in Qatar. [less ▲]

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See detailComparison of metadata quality in open data portals using the Analytic Hierarchy Process
Kubler, Sylvain UL; Robert, Jérémy UL; Umbrich, Jürgen et al

in Government Information Quarterly (2017)

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See detailIoT-based Smart Parking System for Sporting Event Management
Kubler, Sylvain UL; Robert, Jérémy UL; Hefnawy, Ahmed et al

in Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (2016, December 01)

By connecting devices, people, vehicles and infrastructures everywhere in a city, governments and their partners can improve community wellbeing and other economic and financial aspects (e.g., cost and ... [more ▼]

By connecting devices, people, vehicles and infrastructures everywhere in a city, governments and their partners can improve community wellbeing and other economic and financial aspects (e.g., cost and energy savings). Nonetheless, smart cities are complex ecosystems that comprise many different stakeholders (network operators, managed service providers, logistic centers...) who must work together to provide the best services and unlock the commercial potential of the IoT. This is one of the major challenges that faces today's smart city movement, and more generally the IoT as a whole. Indeed, while new smart connected objects hit the market every day, they mostly feed "vertical silos" (e.g., vertical apps, siloed apps...) that are closed to the rest of the IoT, thus hampering developers to produce new added value across multiple platforms. Within this context, the contribution of this paper is twofold: (i) present the EU vision and ongoing activities to overcome the problem of vertical silos; (ii) introduce recent IoT standards used as part of a recent Horizon 2020 IoT project to address this problem. The implementation of those standards for enhanced sporting event management in a smart city/government context (FIFA World Cup 2022) is developed, presented, and evaluated as a proof-of-concept. [less ▲]

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See detailA state-of the-art survey & testbed of Fuzzy AHP (FAHP) applications
Kubler, Sylvain UL; Robert, Jérémy UL; William, Derigent et al

in Expert Systems with Applications (2016), 65

As a practical popular methodology for dealing with fuzziness and uncertainty in Multiple Criteria Decision-Making (MCDM), Fuzzy AHP (FAHP) has been applied to a wide range of applications. As of the time ... [more ▼]

As a practical popular methodology for dealing with fuzziness and uncertainty in Multiple Criteria Decision-Making (MCDM), Fuzzy AHP (FAHP) has been applied to a wide range of applications. As of the time of writing there is no state of the art survey of FAHP, we carry out a literature review of 190 application papers (i.e., applied research papers), published between 2004 and 2016, by classifying them on the basis of the area of application, the identified theme, the year of publication, and so forth. The identified themes and application areas have been chosen based upon the latest state-of-the-art survey of AHP conducted by Vaidya and Kumar (2006). To help readers extract quick and meaningful information, the reviewed papers are summarized in various tabular formats and charts. Unlike previous literature surveys, results and findings are made available through an online (and free) testbed, which can serve as a ready reference for those who wish to apply, modify or extend FAHP in various applications areas. This online testbed makes also available one or more fuzzy pairwise comparison matrices (FPCMs) from all the reviewed papers (255 matrices in total). In terms of results and findings, this survey shows that: (i) FAHP is used primarily in the Manufacturing, Industry and Government sectors; (ii) Asia is the torchbearer in this field, where FAHP is mostly applied in the theme areas of Selection and Evaluation; (iii) a significant amount of research papers (43% of the reviewed literature) combine FAHP with other tools, particularly with TOPSIS, QFD and ANP (AHP’s variant); (iv) Chang’s extent analysis method, which is used for FPCMs’ weight derivation in FAHP, is still the most popular method in spite of a number of criticisms in recent years (considered in 57% of the reviewed literature). [less ▲]

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See detailReasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce Food Waste
Kolbe, Niklas UL; Zaslavsky, Arkady; Kubler, Sylvain UL et al

in Reasoning over Knowledge-based Generation of Situations in Context Spaces to Reduce Food Waste (2016, September 28)

Abstract. Situation awareness is a key feature of pervasive computing and requires external knowledge to interpret data. Ontology-based reasoning approaches allow for the reuse of predefined knowledge ... [more ▼]

Abstract. Situation awareness is a key feature of pervasive computing and requires external knowledge to interpret data. Ontology-based reasoning approaches allow for the reuse of predefined knowledge, but do not provide the best reasoning capabilities. To overcome this problem, a hybrid model for situation awareness is developed and presented in this paper, which integrates the Situation Theory Ontology into Context Space Theory for inference. Furthermore, in an effort to rely as much as possible on open IoT messaging standards, a domain-independent framework using the O-MI/O-DF standards for sensor data acquisition is developed. This framework is applied to a smart neighborhood use case to reduce food waste at the consumption stage. [less ▲]

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See detailLifecycle Management in the Smart City Context: Smart Parking Use-Case
Hefnawy, Ahmed; Elhariri, Taha; Bouras, Abdelaziz et al

in 13th IFIP International Conference on Product Lifecycle Management, Columbia SC 10-13 July 2016 (2016, July 13)

Lifecycle management enables enterprises to manage their products, services and product-service bundles. IoT and CPS have made products and services smarter by closing the loop of data across different ... [more ▼]

Lifecycle management enables enterprises to manage their products, services and product-service bundles. IoT and CPS have made products and services smarter by closing the loop of data across different phases of lifecycle. Similarly, CPS and IoT empower cities with real-time data streams from heterogeneous objects. Yet, cities are smarter and more powerful when relevant data can be exchanged between different systems across different domains. From engineering perspective, smart city can be seen as a System of Systems composed of interrelated/ interdependent smart systems and objects. To better integrate people, processes, and systems in the smart city ecosystem, this paper discusses the use of Lifecycle Management in the smart city context. Considering the differences between ordinary and smart service systems, this paper seeks better understanding of lifecycle aspects in the smart city context. For better understanding, some of the discussed lifecycle aspects are demonstrated in a smart parking use-case. [less ▲]

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See detailBuilding Lifecycle Management System for Enhanced Closed Loop Collaboration
Kubler, Sylvain UL; Buda, Andrea; Robert, Jérémy UL et al

in 13th IFIP International Conference on Product Lifecycle Management (PLM16) (2016, June 29)

In the past few years, the architecture, engineering and construction (AEC) industry has carried out efforts to develop BIM (Building Information Modelling) facilitating tools and standards for enhanced ... [more ▼]

In the past few years, the architecture, engineering and construction (AEC) industry has carried out efforts to develop BIM (Building Information Modelling) facilitating tools and standards for enhanced collaborative working and information sharing. Lessons learnt from other industries and tools such as PLM (Product Lifecycle Management) – established tool in manufacturing to manage the engineering change process – revealed interesting potential to manage more efficiently the building design and construction processes. Nonetheless, one of the remaining challenges consists in closing the information loop between multiple building lifecycle phases, e.g. by capturing information from middle-of-life processes (i.e., use and maintenance) to re-use it in end-of-life processes (e.g., to guide disposal decision making). Our research addresses this lack of closed-loop system in the AEC industry by proposing an open and interoperable Web-based building lifecycle management system. This paper gives (i) an overview of the requirement engineering process that has been set up to integrate efforts, standards and directives of both the AEC and PLM industries, and (ii) first proofs-of-concept of our system implemented on two distinct campus. [less ▲]

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See detailData Quality Assessment of Maintenance Reporting Procedures
Madhikermi, Manik; Kubler, Sylvain UL; Robert, Jérémy UL et al

in Expert Systems with Applications (2016)

Today’s largest and fastest growing companies’ assets are no longer physical, but rather digital (software, algorithms...). This is all the more true in the manufacturing, and particularly in the ... [more ▼]

Today’s largest and fastest growing companies’ assets are no longer physical, but rather digital (software, algorithms...). This is all the more true in the manufacturing, and particularly in the maintenance sector where quality of enterprise maintenance services are closely linked to the quality of maintenance data reporting procedures. If quality of the reported data is too low, it can results in wrong decision-making and loss of money. Furthermore, various maintenance experts are involved and directly concerned about the quality of enterprises’ daily maintenance data reporting (e.g., maintenance planners, plant managers...), each one having specific needs and responsibilities. To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is hardly considered in existing expert maintenance systems, this paper develops a Maintenance Reporting Quality Assessment (MRQA) dashboard that enables any company stakeholder to easily – and in real-time – assess/rank company branch offices in terms of maintenance reporting quality. From a theoretical standpoint, AHP is used to integrate various data quality dimensions as well as expert preferences. A use case describes how the proposed MRQA dashboard is being used by a Finnish multinational equipment manufacturer to assess and enhance reporting practices in a specific or a group of branch offices. [less ▲]

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See detailOpen Data Portal Quality Comparison using AHP
Kubler, Sylvain UL; Robert, Jérémy UL; Le Traon, Yves UL et al

in Proceedings of the 17th International Digital Government Research Conference on Digital Government Research (2016, June 07)

During recent years, more and more Open Data becomes available and used as part of the Open Data movement. However, there are reported issues with the quality of the metadata in data portals and the data ... [more ▼]

During recent years, more and more Open Data becomes available and used as part of the Open Data movement. However, there are reported issues with the quality of the metadata in data portals and the data itself. This is a seri- ous risk that could disrupt the Open Data project, as well as e-government initiatives since the data quality needs to be managed to guarantee the reliability of e-government to the public. First quality assessment frameworks emerge to eval- uate the quality for a given dataset or portal along various dimensions (e.g., information completeness). Nonetheless, a common problem with such frameworks is to provide mean- ingful ranking mechanisms that are able to integrate sev- eral quality dimensions and user preferences (e.g., a portal provider is likely to have different quality preferences than a portal consumer). To address this multi-criteria decision making problem, our research work applies AHP (Analytic Hierarchy Process), which compares 146 active Open Data portals across 44 countries, powered by the CKAN software. [less ▲]

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See detailIoT Platforms Initiative
Kubler, Sylvain UL; Främling, Kary; Zaslavsky, Arkady

in Vermesan, Ovidiu; Friess, Peter (Eds.) Digitising the Industry Internet of Things Connecting the Physical, Digital and Virtual Worlds (2016)

The Internet of Things (IoT) is considered to be one of the enablers of the next industrial revolution. It is fuelled by the advancement of digital technologies, as well as dramatically changing how ... [more ▼]

The Internet of Things (IoT) is considered to be one of the enablers of the next industrial revolution. It is fuelled by the advancement of digital technologies, as well as dramatically changing how companies engage in business activities and people interact with their environment. The IoT’s disruptive nature requires the assessment of the requirements for its future deployment across the digital value chain in various industries and many application areas. The IoT is bridging the physical, digital, cyber and virtual worlds and requires sound information processing capabilities for the “digital shadows” of these real things. IoT applications are gradually moving from vertical, single- purpose solutions to multi-purpose and collaborative applications interacting across industry verticals, organizations and people, which represents one of the essential paradigms of the digital economy. Many of those applications still have to be identified, while involvement of end users in this innovation is crucial. IoT technologies are key enablers of the Digital Single Market (DSM), which will have a potentially significant impact on the creation of jobs and growth, along with providing opportunities for IoT stakeholders in deploying and commercializing IoT technologies and applications within European and global markets. The following chapters will provide insights into the state of the art for research and innovation regarding the IoT, while exposing you to the challenges and opportunities within future IoT ecosystems, which address IoT technology as well as applications developments and deployments for various domains (consumer/business/industrial/art). [less ▲]

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See detailProfiling household appliance electricity usage with n-gram language modeling
Li, Daoyuan UL; Bissyande, Tegawendé François D Assise UL; Kubler, Sylvain UL et al

in The 2016 IEEE International Conference on Industrial Technology (ICIT 2016) (2016, March)

Detailed reference viewed: 303 (38 UL)