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description Publicationkeyboard_double_arrow_right Conference object 2023 ItalyPublisher:Elsevier BV Funded by:UKRI | AlwaysClean, EC | DIMOFAC, EC | AI REGIOUKRI| AlwaysClean ,EC| DIMOFAC ,EC| AI REGIOQuadrini, Walter; Abdel-Aty, Tasnim A.; Cimino, Chiara; Fumagalli, Luca; Rovere, Diego;handle: 11311/1228348
In recent years, the discipline of Digital Transformation in manufacturing companies turned out to be a hot topic of research debate, which allowed the design and introduction of new technologies and tools able to exploit the potential of the data produced by the shop floor assets. This increased interest in data generation and management has however highlighted a crucial issue about the lack of standardised models and structures to share these data and ensure interoperability. Among the several concepts proposed by the recent initiatives devoted to solving or mitigating this issue, Asset Administration Shell (AAS) is increasing in popularity, given its potential in providing standardised and modular information about the assets and events represented. This paper deals with a demonstration of the easiness of integration of AAS in pre-existing software architecture, allowing higher flexibility and a better understanding of the ongoing processes: a production line has been indeed entirely represented with modular AAS metamodels and it has been used to feed a Digital Model representing the line configuration. The use case proposed proves the effectiveness of the obtained solution when used for virtual commissioning operations.
RE.PUBLIC@POLIMI Res... arrow_drop_down ZENODO; Procedia Computer ScienceOther literature type . Article . Conference object . 2023 . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.12.379&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 17visibility views 17 download downloads 19 Powered bymore_vert RE.PUBLIC@POLIMI Res... arrow_drop_down ZENODO; Procedia Computer ScienceOther literature type . Article . Conference object . 2023 . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.12.379&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Contribution for newspaper or weekly magazine 2022 DenmarkPublisher:Elsevier BV Funded by:EC | domOSEC| domOSLaadhar, Amir; Dongo, Junior; Enevoldsen, Søren; Revaz, Frédéric; Gabioud, Dominique; Pedersen, Torben Bach; Meyer, Martin; Nielsen, Brian; Thomsen, Christian;Buildings are the largest energy consumers in Europe and are responsible for approximately 40% of EU energy consumption and 36% of the greenhouse gas emissions in Europe. Two-thirds of the building consumption is for residential buildings. To achieve energy efficiency, buildings are being integrated with IoT devices through the use of smart IoT services. For instance, a smart space heating service reduces energy consumption by dynamically heating apartments based on indoor and outdoor temperatures. The W3C recommends the use of the Web of Things (WoT) standard to enable IoT interoperability on the Web. However, in the context of a smart building, the ability to search and discover building metadata and IoT devices available in the WoT ecosystems remains a challenge due to the limitation of the current WoT Discovery, which only includes a directory containing only IoT devices metadata without including building metadata. Integrating the IoT device's metadata with building metadata in the same directory can provide better discovery capabilities to the IoT services providers. In this paper, we integrate building metadata into the W3C WoT Discovery through the construction of a Building Description JSON-LD file. This Building Description is integrated into the W3C WoT Discovery and based on the domOS Common Ontology (dCO) to achieve semantic interoperability in smart residential buildings for the WoT IoT ecosystem within the Horizon 2020 domOS project. This integration results in a Thing and Building Description Directory. dCO integrates the SAREF core ontology with the Thing Description ontology, devices, and building metadata. We have implemented and validated the WoT discovery on top of a WoT Thing and Building Description Directory. The WoT Discovery implementation is also made available for the WoT community.
Aalborg University R... arrow_drop_down Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022Data sources: Aalborg University Research PortalVBN; Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022ZENODO; Procedia Computer ScienceArticle . Conference object . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 12 Powered bymore_vert Aalborg University R... arrow_drop_down Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022Data sources: Aalborg University Research PortalVBN; Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022ZENODO; Procedia Computer ScienceArticle . Conference object . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.09.155&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 SpainPublisher:Elsevier BV Funded by:EC | SHAPESEC| SHAPESLlumiguano, Henry; Espinosa, María; Jiménez, Sergio; Fernandez-Bermejo, Jesús; del Toro, Xavier; López, Juan Carlos;handle: 10578/30550
La tendencia creciente en el porcentaje de personas mayores entre la población europea y en el número de personas mayores que viven solas plantea una serie de desafíos, algunos de los cuales pueden abordarse a partir de soluciones digitales que controlen y apoyen la comodidad, la actividad física y la salud. Hoy en día, los esfuerzos de investigación buscan asegurar, a través de soluciones basadas en tecnología, la calidad de vida a medida que las personas envejecen y las necesidades que surgen durante el proceso. El entorno del hogar puede albergar soluciones modernas de automatización del hogar que respaldan la recopilación de información, el monitoreo y la intervención temprana para evitar riesgos que tengan consecuencias importantes. Por lo tanto, los hogares inteligentes pueden hacer una contribución positiva al paradigma del envejecimiento activo y saludable. Sin embargo, Una de las mayores limitaciones que impiden que los hogares inteligentes sean una realidad es la falta de interoperabilidad entre dispositivos de diferentes proveedores o el hecho de que la mayoría de las soluciones comerciales se basan en soluciones basadas en la nube. Este trabajo enfrenta estas limitaciones y propone una arquitectura que, basada en el uso de sensores comerciales, asegura que la información sea recopilada y procesada localmente, independientemente de la solución comercial proporcionada por el fabricante del dispositivo. La arquitectura ha sido validada experimentalmente mediante la implementación de un sistema de monitorización basado en sensores ambientales y de seguridad interconectados mediante el protocolo de comunicación inalámbrica ZigBee. El sistema propuesto también apoya a los cuidadores que cuidan a sus personas mayores a quienes se les otorgará acceso a los datos recopilados. De este modo, el sistema ofrece un sistema de monitoreo remoto basado en una solución de almacenamiento y visualización de información. Este sistema pretende dar una solución que mejore la calidad de vida y amplíe el tiempo de vida independiente en el hogar de las personas mayores. The increasing trend in the percentage of older people among the European population, and in the number of older people living alone, poses a number of challenges, some of which can be addressed from digital solutions monitoring and supporting comfort, physical activity and health. Nowadays, research efforts seek to ensure, through technology-based solutions, the quality of life as people age and the needs that arise during the process. The home environment can host modern home-automation solutions supporting information gathering, monitoring and early intervention to prevent risks to lead to major consequences. Smart homes can thus make a positive contribution to the Active and Healthy Ageing paradigm. However, one of the biggest limitations preventing smart homes from being a reality is the lack of interoperability among different-vendor devices or the fact that most of the commer-tial solutions rely on cloud-based solutions. This work faces these limitations and proposes an architecture that, based on the use of commercial sensors, ensures that information is gathered and processed locally, independently of the commercial solution provided by the manufacturer of the device. The architecture has been experimentally validated by implementing a monitoring system based on environmental and security sensors interconnected by means of the ZigBee wireless communication protocol. The proposed system also supports caregivers caring for their older people who will be granted access to collected data. Thus, the system offers a remote monitoring system based on an information storage and visualisation solution. This system is intended to provide a solution that improves the quality of life and extends the time of independent living at home for older people.
RUIdeRA; Recolector ... arrow_drop_down RUIdeRA; Recolector de Ciencia Abierta, RECOLECTAArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert RUIdeRA; Recolector ... arrow_drop_down RUIdeRA; Recolector de Ciencia Abierta, RECOLECTAArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.09.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | DIGICOREC| DIGICORAuthors: Pishchulov, Grigory; Quboa, Qudamah; Mehandjiev, Nikolay;Pishchulov, Grigory; Quboa, Qudamah; Mehandjiev, Nikolay;We outline a service that underpins formation of supply-chain collaborations. Companies can use the service to search for suitable partners with the objective of forming a collaboration with them. Such collaborations are intended to be built on demand — in response to complex business opportunities that may involve designing, manufacturing and delivery of a customized product and may therefore require capabilities and capacities that a single company may not possess. Potential collaborations are being presented to the user and their fit is being evaluated according to a range of criteria that include companies’ capabilities, geographic locations, and other characteristics. In addition to the calculation of the fit implemented in the service, we propose in this work to evaluate the risks associated with the potential collaborations.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.01.349&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!download 38download downloads 38 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.01.349&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2021Publisher:Elsevier BV Funded by:EC | SHAPESEC| SHAPESUnai Elordi; Alvaro Bertelsen; Luis Unzueta; Nerea Aranjuelo; Jon Goenetxea; Ignacio Arganda-Carreras;Abstract Face recognition provides a desirable solution for authentication and surveillance in Internet of Things platforms for elderly care. However, its inclusion is challenging because of the possibly reduced interaction capabilities of users, the high variety of interaction devices, and the need of managing biometric data securely. Our approach relies on lightweight deep neural networks for secure recognition and to guide users during interaction. An automated procedure selects the appropriate inference engine, model configurations, and batch size, based on edge device characteristics. Biometric data is homomorphically encrypted to preserve privacy. An evaluation with respect to state-of-the-art alternatives shows its potential.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2021 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2021.09.093&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2021 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2021.09.093&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2020Publisher:Elsevier BV Funded by:EC | 5G-MOBIXEC| 5G-MOBIXAuthors: Santa, Jose; Bernal-Escobedo, Luis; Sanchez-Iborra, Ramon;Santa, Jose; Bernal-Escobedo, Luis; Sanchez-Iborra, Ramon;Abstract The basis of smart city services is urban sensing, i.e., the collection of data from sensors deployed in urban settings. However, it has been recently when mobile objects have started to be monitored to feed smart applications within the smart city ecosystems. Most of the advances in this area focus on gathering data from public transportation services such as buses or trams, which use to employ regular cellular or WiFi-based networks and state-of-the-art TCP/IP protocols. Although this covers a basic on-board equipment to report position and other sensor data, there is not a direct integration of Internet of Things (IoT) capabilities in urban transportation and, in general, in moving “things”. Communication technologies used in regular wireless sensor networks such as ZigBee or Bluetooth are not appropriate for high mobility patterns. The Internet of Vehicles (IoV) paradigm aims at filling these gaps, exploiting the synergy between IoT and vehicular networks. It is an emerging area in which extra efforts should be paid to cover constrained capabilities of end devices installed on personal mobility devices, e.g., scooters, segways or bicycles. The solution proposed here deals with the connectivity of moving objects by developing an on-board unit for energy-constrained vehicles, integrating communication capabilities using the Low-Power Wide Area Network (LPWAN) technologies Long Range Wide-area Network (LoRaWAN) and Narrow-Band IoT (NB-IoT) to efficiently collect data. A set of sensors are included to target services in the areas of urban mobility, enhanced environmental perception and speed-up of city operations. The on-board unit has been evaluated through real-life experiments to study especially its communication capabilities with NB-IoT, obtaining good performances in terms of packet delivery ratio and network delay under non-ideal coverage settings. Results show that NB-IoT presents better performances than LoRaWAN, as compared to our previous experiences, with negligible packet loss rates and two-way delays under 100 ms with Internet nodes, at the expense of needing a proper operator network deployment and consuming extra energy due to NB-IoT protocol complexity.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2020 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2020.07.027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2020 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2020.07.027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019Publisher:Elsevier BV Funded by:EC | SAGE-CPSoCEC| SAGE-CPSoCArman Anzanpour; Humayun Rashid; Amir M. Rahmani; Axel Jantsch; Nikil Dutt; Pasi Liljeberg;Abstract Management of energy dissipation and battery life is a challenge in health monitoring wearables. Low-quality data collection, non-reliable monitoring process, and missing important health events are consequences of single-goal fixed-policy solutions. In this research, energy dissipation of IoT-based wearable systems is managed through a dynamic multi-goal approach. Health status of the user of a wearable device, the continuity of monitoring, and the accuracy of collected data are parameters we consider in our goal hierarchy to select a proper system management policy at run-time to achieve the most significant goal at a given time. In our approach, a dynamic observation process assesses the user and system data and a fog-assisted control engine detects the states, enforces the proper policy, and reconfigures the wearable sensor. To demonstrate our solution, we develop a real reconfigurable wireless sensor node with an ability to follow a set of parametrically defined policies and performed a set of experiments to find the most efficient setting. Our evaluation shows that the proposed system is able to reduce the power consumption by 44% and prevent the data loss due to battery shortage in 0.78% of total data collection time compared to a baseline system without a goal manager.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . Conference object . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2019.04.067&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 31visibility views 31 download downloads 57 Powered bymore_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . Conference object . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2019.04.067&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2019 GermanyPublisher:Elsevier BV Funded by:EC | JERRIEC| JERRIAuthors: Ulrike Küsters; Tina Klages;Ulrike Küsters; Tina Klages;Abstract Open science as a paradigm shift in science concerns university or non-university research organizations from the field of not only basic research but also applied research, i.e., research and technology organizations. However, these have a completely different starting point than the other research organizations for the implementation of open science. This is due to their unique position in the innovation system and their close connection with business. In other words, they must meet the demands of both the scientific and economic systems as well as fulfill their overriding mission of conducting research for society. In the interplay between science and business, Fraunhofer has developed a balanced system of control mechanisms and research management topics as well as an infrastructure specifically adapted to the needs of the organization, which is now subject to considerable challenges and changing tendencies due to digitization. These changes affect control processes and related organizational issues as well as the infrastructure around the core business of Fraunhofer – the generation of research output – and the associated infrastructure. This paper discusses how the Fraunhofer-Gesellschaft deals with these requirements with a special focus on dissemination management. The current activities in the field of the Fraunhofer infrastructure and the introduction of a Current Research Information System (CRIS) as an indicator system to measure scientific excellence will be discussed, along with the activities for the implementation of open science.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2019.01.078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2019.01.078&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2018Publisher:Elsevier BV Funded by:EC | DEEP-HybridDataCloudEC| DEEP-HybridDataCloudAuthors: Nguyen, Binh Minh; Phan, Huan; Ha, Duong Quang; Nguyen, Giang;Nguyen, Binh Minh; Phan, Huan; Ha, Duong Quang; Nguyen, Giang;Abstract Internet of Things (IoT) has enabled physical devices and virtual objects to be connected to share data, coordinate, and automatically make smart decisions to server people. Recently, many IoT resource slicing studies that allow managing devices, IoT platforms, network functions, and clouds under a single unified programming interface have been proposed. Although they helped IoT developers to create IoT services more easily, the efforts still have not dealt with the monitoring problem for the slice components. This could cause an issue: thing states could not be tracked continuously, and hence the effectiveness of controlling the IoT components would be decreased significantly because of updated information lack. In this paper, we introduce an information-centric approach for multiple sources monitoring issue in IoT. The proposed model thus is designed to provide generic and extensible data format for diverse IoT objects. Through this model, IoT developers can build smart services smoothly without worrying about the diversity as well as heterogeneity of collected data. We also propose an overall monitoring architecture for the information-centric model to deploy in IoT environment and its monitoring API prototype. This document also presents our experiments and evaluations to prove feasibility of the proposals in practice.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2018 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2018.04.046&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2018 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Conference object , Article 2018 FrancePublisher:Elsevier BV Funded by:EC | GHOSTEC| GHOSTAuthors: Brun, Olivier; Yonghua Yin; Kadioglu, Yasin Murat; Gelenbe, Erol;Brun, Olivier; Yonghua Yin; Kadioglu, Yasin Murat; Gelenbe, Erol;International audience; In this paper, we analyze the network attacks that can be launched against Internet of Things (IoT) gateways, identify the relevant metrics to detect them, and explain how they can be computed from packet captures. We then present the principles and design of a deep learning-based approach using dense random neural networks (RNN) for the online detection of network attacks. Empirical validation results on packet captures in which attacks are inserted show that the Dense RNN correctly detects attacks. However our experiments show that a simple threshold detector also provides results of comparable accuracy on the same data set.
Procedia Computer Sc... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseConference object . 2018Hal-DiderotConference object . 2018Full-Text: https://hal.laas.fr/hal-02062117/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 82 citations 82 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseConference object . 2018Hal-DiderotConference object . 2018Full-Text: https://hal.laas.fr/hal-02062117/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Conference object 2023 ItalyPublisher:Elsevier BV Funded by:UKRI | AlwaysClean, EC | DIMOFAC, EC | AI REGIOUKRI| AlwaysClean ,EC| DIMOFAC ,EC| AI REGIOQuadrini, Walter; Abdel-Aty, Tasnim A.; Cimino, Chiara; Fumagalli, Luca; Rovere, Diego;handle: 11311/1228348
In recent years, the discipline of Digital Transformation in manufacturing companies turned out to be a hot topic of research debate, which allowed the design and introduction of new technologies and tools able to exploit the potential of the data produced by the shop floor assets. This increased interest in data generation and management has however highlighted a crucial issue about the lack of standardised models and structures to share these data and ensure interoperability. Among the several concepts proposed by the recent initiatives devoted to solving or mitigating this issue, Asset Administration Shell (AAS) is increasing in popularity, given its potential in providing standardised and modular information about the assets and events represented. This paper deals with a demonstration of the easiness of integration of AAS in pre-existing software architecture, allowing higher flexibility and a better understanding of the ongoing processes: a production line has been indeed entirely represented with modular AAS metamodels and it has been used to feed a Digital Model representing the line configuration. The use case proposed proves the effectiveness of the obtained solution when used for virtual commissioning operations.
RE.PUBLIC@POLIMI Res... arrow_drop_down ZENODO; Procedia Computer ScienceOther literature type . Article . Conference object . 2023 . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 17visibility views 17 download downloads 19 Powered bymore_vert RE.PUBLIC@POLIMI Res... arrow_drop_down ZENODO; Procedia Computer ScienceOther literature type . Article . Conference object . 2023 . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Contribution for newspaper or weekly magazine 2022 DenmarkPublisher:Elsevier BV Funded by:EC | domOSEC| domOSLaadhar, Amir; Dongo, Junior; Enevoldsen, Søren; Revaz, Frédéric; Gabioud, Dominique; Pedersen, Torben Bach; Meyer, Martin; Nielsen, Brian; Thomsen, Christian;Buildings are the largest energy consumers in Europe and are responsible for approximately 40% of EU energy consumption and 36% of the greenhouse gas emissions in Europe. Two-thirds of the building consumption is for residential buildings. To achieve energy efficiency, buildings are being integrated with IoT devices through the use of smart IoT services. For instance, a smart space heating service reduces energy consumption by dynamically heating apartments based on indoor and outdoor temperatures. The W3C recommends the use of the Web of Things (WoT) standard to enable IoT interoperability on the Web. However, in the context of a smart building, the ability to search and discover building metadata and IoT devices available in the WoT ecosystems remains a challenge due to the limitation of the current WoT Discovery, which only includes a directory containing only IoT devices metadata without including building metadata. Integrating the IoT device's metadata with building metadata in the same directory can provide better discovery capabilities to the IoT services providers. In this paper, we integrate building metadata into the W3C WoT Discovery through the construction of a Building Description JSON-LD file. This Building Description is integrated into the W3C WoT Discovery and based on the domOS Common Ontology (dCO) to achieve semantic interoperability in smart residential buildings for the WoT IoT ecosystem within the Horizon 2020 domOS project. This integration results in a Thing and Building Description Directory. dCO integrates the SAREF core ontology with the Thing Description ontology, devices, and building metadata. We have implemented and validated the WoT discovery on top of a WoT Thing and Building Description Directory. The WoT Discovery implementation is also made available for the WoT community.
Aalborg University R... arrow_drop_down Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022Data sources: Aalborg University Research PortalVBN; Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022ZENODO; Procedia Computer ScienceArticle . Conference object . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 12 Powered bymore_vert Aalborg University R... arrow_drop_down Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022Data sources: Aalborg University Research PortalVBN; Aalborg University Research PortalContribution for newspaper or weekly magazine . 2022ZENODO; Procedia Computer ScienceArticle . Conference object . 2022 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 SpainPublisher:Elsevier BV Funded by:EC | SHAPESEC| SHAPESLlumiguano, Henry; Espinosa, María; Jiménez, Sergio; Fernandez-Bermejo, Jesús; del Toro, Xavier; López, Juan Carlos;handle: 10578/30550
La tendencia creciente en el porcentaje de personas mayores entre la población europea y en el número de personas mayores que viven solas plantea una serie de desafíos, algunos de los cuales pueden abordarse a partir de soluciones digitales que controlen y apoyen la comodidad, la actividad física y la salud. Hoy en día, los esfuerzos de investigación buscan asegurar, a través de soluciones basadas en tecnología, la calidad de vida a medida que las personas envejecen y las necesidades que surgen durante el proceso. El entorno del hogar puede albergar soluciones modernas de automatización del hogar que respaldan la recopilación de información, el monitoreo y la intervención temprana para evitar riesgos que tengan consecuencias importantes. Por lo tanto, los hogares inteligentes pueden hacer una contribución positiva al paradigma del envejecimiento activo y saludable. Sin embargo, Una de las mayores limitaciones que impiden que los hogares inteligentes sean una realidad es la falta de interoperabilidad entre dispositivos de diferentes proveedores o el hecho de que la mayoría de las soluciones comerciales se basan en soluciones basadas en la nube. Este trabajo enfrenta estas limitaciones y propone una arquitectura que, basada en el uso de sensores comerciales, asegura que la información sea recopilada y procesada localmente, independientemente de la solución comercial proporcionada por el fabricante del dispositivo. La arquitectura ha sido validada experimentalmente mediante la implementación de un sistema de monitorización basado en sensores ambientales y de seguridad interconectados mediante el protocolo de comunicación inalámbrica ZigBee. El sistema propuesto también apoya a los cuidadores que cuidan a sus personas mayores a quienes se les otorgará acceso a los datos recopilados. De este modo, el sistema ofrece un sistema de monitoreo remoto basado en una solución de almacenamiento y visualización de información. Este sistema pretende dar una solución que mejore la calidad de vida y amplíe el tiempo de vida independiente en el hogar de las personas mayores. The increasing trend in the percentage of older people among the European population, and in the number of older people living alone, poses a number of challenges, some of which can be addressed from digital solutions monitoring and supporting comfort, physical activity and health. Nowadays, research efforts seek to ensure, through technology-based solutions, the quality of life as people age and the needs that arise during the process. The home environment can host modern home-automation solutions supporting information gathering, monitoring and early intervention to prevent risks to lead to major consequences. Smart homes can thus make a positive contribution to the Active and Healthy Ageing paradigm. However, one of the biggest limitations preventing smart homes from being a reality is the lack of interoperability among different-vendor devices or the fact that most of the commer-tial solutions rely on cloud-based solutions. This work faces these limitations and proposes an architecture that, based on the use of commercial sensors, ensures that information is gathered and processed locally, independently of the commercial solution provided by the manufacturer of the device. The architecture has been experimentally validated by implementing a monitoring system based on environmental and security sensors interconnected by means of the ZigBee wireless communication protocol. The proposed system also supports caregivers caring for their older people who will be granted access to collected data. Thus, the system offers a remote monitoring system based on an information storage and visualisation solution. This system is intended to provide a solution that improves the quality of life and extends the time of independent living at home for older people.
RUIdeRA; Recolector ... arrow_drop_down RUIdeRA; Recolector de Ciencia Abierta, RECOLECTAArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert RUIdeRA; Recolector ... arrow_drop_down RUIdeRA; Recolector de Ciencia Abierta, RECOLECTAArticle . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.09.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | DIGICOREC| DIGICORAuthors: Pishchulov, Grigory; Quboa, Qudamah; Mehandjiev, Nikolay;Pishchulov, Grigory; Quboa, Qudamah; Mehandjiev, Nikolay;We outline a service that underpins formation of supply-chain collaborations. Companies can use the service to search for suitable partners with the objective of forming a collaboration with them. Such collaborations are intended to be built on demand — in response to complex business opportunities that may involve designing, manufacturing and delivery of a customized product and may therefore require capabilities and capacities that a single company may not possess. Potential collaborations are being presented to the user and their fit is being evaluated according to a range of criteria that include companies’ capabilities, geographic locations, and other characteristics. In addition to the calculation of the fit implemented in the service, we propose in this work to evaluate the risks associated with the potential collaborations.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!download 38download downloads 38 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2022.01.349&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2021Publisher:Elsevier BV Funded by:EC | SHAPESEC| SHAPESUnai Elordi; Alvaro Bertelsen; Luis Unzueta; Nerea Aranjuelo; Jon Goenetxea; Ignacio Arganda-Carreras;Abstract Face recognition provides a desirable solution for authentication and surveillance in Internet of Things platforms for elderly care. However, its inclusion is challenging because of the possibly reduced interaction capabilities of users, the high variety of interaction devices, and the need of managing biometric data securely. Our approach relies on lightweight deep neural networks for secure recognition and to guide users during interaction. An automated procedure selects the appropriate inference engine, model configurations, and batch size, based on edge device characteristics. Biometric data is homomorphically encrypted to preserve privacy. An evaluation with respect to state-of-the-art alternatives shows its potential.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2021 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2021.09.093&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2021 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2021.09.093&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2020Publisher:Elsevier BV Funded by:EC | 5G-MOBIXEC| 5G-MOBIXAuthors: Santa, Jose; Bernal-Escobedo, Luis; Sanchez-Iborra, Ramon;Santa, Jose; Bernal-Escobedo, Luis; Sanchez-Iborra, Ramon;Abstract The basis of smart city services is urban sensing, i.e., the collection of data from sensors deployed in urban settings. However, it has been recently when mobile objects have started to be monitored to feed smart applications within the smart city ecosystems. Most of the advances in this area focus on gathering data from public transportation services such as buses or trams, which use to employ regular cellular or WiFi-based networks and state-of-the-art TCP/IP protocols. Although this covers a basic on-board equipment to report position and other sensor data, there is not a direct integration of Internet of Things (IoT) capabilities in urban transportation and, in general, in moving “things”. Communication technologies used in regular wireless sensor networks such as ZigBee or Bluetooth are not appropriate for high mobility patterns. The Internet of Vehicles (IoV) paradigm aims at filling these gaps, exploiting the synergy between IoT and vehicular networks. It is an emerging area in which extra efforts should be paid to cover constrained capabilities of end devices installed on personal mobility devices, e.g., scooters, segways or bicycles. The solution proposed here deals with the connectivity of moving objects by developing an on-board unit for energy-constrained vehicles, integrating communication capabilities using the Low-Power Wide Area Network (LPWAN) technologies Long Range Wide-area Network (LoRaWAN) and Narrow-Band IoT (NB-IoT) to efficiently collect data. A set of sensors are included to target services in the areas of urban mobility, enhanced environmental perception and speed-up of city operations. The on-board unit has been evaluated through real-life experiments to study especially its communication capabilities with NB-IoT, obtaining good performances in terms of packet delivery ratio and network delay under non-ideal coverage settings. Results show that NB-IoT presents better performances than LoRaWAN, as compared to our previous experiences, with negligible packet loss rates and two-way delays under 100 ms with Internet nodes, at the expense of needing a proper operator network deployment and consuming extra energy due to NB-IoT protocol complexity.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2020 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2020.07.027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2020 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2020.07.027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019Publisher:Elsevier BV Funded by:EC | SAGE-CPSoCEC| SAGE-CPSoCArman Anzanpour; Humayun Rashid; Amir M. Rahmani; Axel Jantsch; Nikil Dutt; Pasi Liljeberg;Abstract Management of energy dissipation and battery life is a challenge in health monitoring wearables. Low-quality data collection, non-reliable monitoring process, and missing important health events are consequences of single-goal fixed-policy solutions. In this research, energy dissipation of IoT-based wearable systems is managed through a dynamic multi-goal approach. Health status of the user of a wearable device, the continuity of monitoring, and the accuracy of collected data are parameters we consider in our goal hierarchy to select a proper system management policy at run-time to achieve the most significant goal at a given time. In our approach, a dynamic observation process assesses the user and system data and a fog-assisted control engine detects the states, enforces the proper policy, and reconfigures the wearable sensor. To demonstrate our solution, we develop a real reconfigurable wireless sensor node with an ability to follow a set of parametrically defined policies and performed a set of experiments to find the most efficient setting. Our evaluation shows that the proposed system is able to reduce the power consumption by 44% and prevent the data loss due to battery shortage in 0.78% of total data collection time compared to a baseline system without a goal manager.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . Conference object . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2019.04.067&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 31visibility views 31 download downloads 57 Powered bymore_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . Conference object . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2019.04.067&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2019 GermanyPublisher:Elsevier BV Funded by:EC | JERRIEC| JERRIAuthors: Ulrike Küsters; Tina Klages;Ulrike Küsters; Tina Klages;Abstract Open science as a paradigm shift in science concerns university or non-university research organizations from the field of not only basic research but also applied research, i.e., research and technology organizations. However, these have a completely different starting point than the other research organizations for the implementation of open science. This is due to their unique position in the innovation system and their close connection with business. In other words, they must meet the demands of both the scientific and economic systems as well as fulfill their overriding mission of conducting research for society. In the interplay between science and business, Fraunhofer has developed a balanced system of control mechanisms and research management topics as well as an infrastructure specifically adapted to the needs of the organization, which is now subject to considerable challenges and changing tendencies due to digitization. These changes affect control processes and related organizational issues as well as the infrastructure around the core business of Fraunhofer – the generation of research output – and the associated infrastructure. This paper discusses how the Fraunhofer-Gesellschaft deals with these requirements with a special focus on dissemination management. The current activities in the field of the Fraunhofer infrastructure and the introduction of a Current Research Information System (CRIS) as an indicator system to measure scientific excellence will be discussed, along with the activities for the implementation of open science.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2019 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publication2018Publisher:Elsevier BV Funded by:EC | DEEP-HybridDataCloudEC| DEEP-HybridDataCloudAuthors: Nguyen, Binh Minh; Phan, Huan; Ha, Duong Quang; Nguyen, Giang;Nguyen, Binh Minh; Phan, Huan; Ha, Duong Quang; Nguyen, Giang;Abstract Internet of Things (IoT) has enabled physical devices and virtual objects to be connected to share data, coordinate, and automatically make smart decisions to server people. Recently, many IoT resource slicing studies that allow managing devices, IoT platforms, network functions, and clouds under a single unified programming interface have been proposed. Although they helped IoT developers to create IoT services more easily, the efforts still have not dealt with the monitoring problem for the slice components. This could cause an issue: thing states could not be tracked continuously, and hence the effectiveness of controlling the IoT components would be decreased significantly because of updated information lack. In this paper, we introduce an information-centric approach for multiple sources monitoring issue in IoT. The proposed model thus is designed to provide generic and extensible data format for diverse IoT objects. Through this model, IoT developers can build smart services smoothly without worrying about the diversity as well as heterogeneity of collected data. We also propose an overall monitoring architecture for the information-centric model to deploy in IoT environment and its monitoring API prototype. This document also presents our experiments and evaluations to prove feasibility of the proposals in practice.
Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2018 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2018.04.046&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Procedia Computer ScienceOther literature type . Article . 2018 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2018.04.046&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Conference object , Article 2018 FrancePublisher:Elsevier BV Funded by:EC | GHOSTEC| GHOSTAuthors: Brun, Olivier; Yonghua Yin; Kadioglu, Yasin Murat; Gelenbe, Erol;Brun, Olivier; Yonghua Yin; Kadioglu, Yasin Murat; Gelenbe, Erol;International audience; In this paper, we analyze the network attacks that can be launched against Internet of Things (IoT) gateways, identify the relevant metrics to detect them, and explain how they can be computed from packet captures. We then present the principles and design of a deep learning-based approach using dense random neural networks (RNN) for the online detection of network attacks. Empirical validation results on packet captures in which attacks are inserted show that the Dense RNN correctly detects attacks. However our experiments show that a simple threshold detector also provides results of comparable accuracy on the same data set.
Procedia Computer Sc... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseConference object . 2018Hal-DiderotConference object . 2018Full-Text: https://hal.laas.fr/hal-02062117/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2018.07.183&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 82 citations 82 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Procedia Computer Sc... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; HAL-INSA ToulouseConference object . 2018Hal-DiderotConference object . 2018Full-Text: https://hal.laas.fr/hal-02062117/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.procs.2018.07.183&type=result"></script>'); --> </script>
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