Search results for "Internet of Things"

showing 10 items of 150 documents

Security and Privacy in Wireless IoT

2018

The 13 articles in this special section focus on security and privacy in wireless Internet of Things (IoT). IoT is a paradigm that involves networked physical objects with embedded technologies to collect, communicate, sense, and interact with the external environment through wireless or wired connections. With rapid advancements in IoT technology, the number of IoT devices is expected to surpass 50 billion by 2020, which has also drawn the attention of attackers who seek to exploit the merits of this new technology for their own benefits. There are many potential security and privacy threats to IoT, such as attacks against IoT systems and unauthorized access to private information of end u…

020203 distributed computingExploitEnd userbusiness.industryWireless networkComputer scienceNetwork security020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genreComputer Science Applications0202 electrical engineering electronic engineering information engineeringWirelessEnergy supplyElectrical and Electronic EngineeringInternet of ThingsbusinessPrivate information retrievalcomputerIEEE Wireless Communications
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Experimental trade-offs between different strategies for multihop communications evaluated over real deployments of wireless sensor network for envir…

2018

Although much work has been done since wireless sensor networks appeared, there is not a great deal of information available on real deployments that incorporate basic features associated with these networks, in particular multihop routing and long lifetimes features. In this article, an environmental monitoring application (Internet of Things oriented) is described, where temperature and relative humidity samples are taken by each mote at a rate of 2 samples/min and sent to a sink using multihop routing. Our goal is to analyse the different strategies to gather the information from the different motes in this context. The trade-offs between ‘sending always’ and ‘buffering locally’ approac…

020203 distributed computingInternetComputer Networks and Communicationsbusiness.industryComputer scienceTrade offsGeneral Engineering020206 networking & telecommunications02 engineering and technologyXarxes locals sense fil Wi-Filcsh:QA75.5-76.95Environmental monitoring0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer scienceInternet of ThingsbusinessWireless sensor networkComputer network
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5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities

2020

In Next-Generation Technologies, the monitoring of environmental noise nuisance in the Smart City should be as efficient as possible. 5G IoT systems offer a great opportunity to offload the node calculation, as they provide a number of new concepts for dynamic computing that previous technologies did not offer. In this case, a complete 5G IoT system for psycho-acoustic monitoring has been implemented using different options to offload the calculation of the parameters to different parts of the system. This offloading has been implemented by directly computing the metrics in the node (as a Raspberry Pi), and in a ESP32 device (FiPy) and by sampling the audio and sending it to the EDGE in the…

020203 distributed computingSoundscapeComputer sciencebusiness.industryNode (networking)Real-time computingSampling (statistics)02 engineering and technologySmart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEnhanced Data Rates for GSM EvolutionEnvironmental noiseInternet of Thingsbusiness5GProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions

2021

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 age…

0209 industrial biotechnologyEngineeringTechnologyIndustry 4.0QH301-705.5QC1-999Big dataInternet of Things02 engineering and technology020901 industrial engineering & automationSustainable businessSettore ING-IND/17 - Impianti Industriali Meccanici0502 economics and businessGeneral Materials Sciencesmart manufacturingCloud manufacturingBiology (General)InstrumentationQD1-999cloud manufacturingFluid Flow and Transfer Processesbusiness.industryProcess Chemistry and TechnologyTPhysics05 social sciencesGeneral EngineeringCyber-physical systemartificial intelligenceIndustry 4.0sustainabilityEngineering (General). Civil engineering (General)sustainable manufacturingComputer Science ApplicationsEngineering managementmanufacturingChemistrySustainabilityStrategic managementDigital manufacturingInternet of ThingTA1-2040business050203 business & managementApplied Sciences
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Industry 4.0: smart test bench for shipbuilding industry

2020

AbstractIndustry 4.0 promises to increase the efficiency of production plants and the quality of the final product. Consequently, companies that implement advanced solutions in production systems will have a competitive advantage in the future. The principles of Industry 4.0 can also be applied to shipyards to transform them into “smart shipyards” (Shipyard 4.0). The aim of this research is to implement an interactive approach by Internet of Things on a closed power-loop test bench equipped with sophisticated sensors that is specifically designed to test high-power thrusters before they are installed on high-speed crafts, which are used in passenger transport. The preliminary results of the…

0209 industrial biotechnologyEngineeringTest benchIndustry 4.0media_common.quotation_subject02 engineering and technologyShipyardPropulsionCompetitive advantageExperimental testsIndustrial and Manufacturing Engineering020901 industrial engineering & automation0502 economics and businessSettore ING-IND/17 - Impianti Industriali MeccaniciQuality (business)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industrialemedia_commonbusiness.industry05 social sciencesIndustry 4.0Manufacturing engineeringInternet of Things (IoT)ShipbuildingModeling and SimulationTest benchCAD modellingThe Internetbusiness050203 business & management
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Predictive pumping based on sensor data and weather forecast

2019

In energy production, peat extraction has a significant role in Finland. However, protection of nature has become more and more important globally. How do we solve this conflict of interests respecting both views? In peat production, one important phase is to drain peat bog so that peat production becomes available. This means that we have control over how we can lead water away from peat bog to nature without water contamination with solid and other harmful substances. In this paper we describe a novel method how fouling of water bodies from peat bog can be controlled more efficiently by using weather forecast to predict rainfall and thus, minimize the effluents to nature. peerReviewed

0209 industrial biotechnologyInternet of thingsPeat0208 environmental biotechnologyWeather forecastingopen data02 engineering and technologycomputer.software_genrevesistöjen säännöstely020901 industrial engineering & automationLead (geology)Extraction (military)esineiden internetWater pollutionEffluentavoin tietota218turvetuotantota113Foulingta213Environmental engineeringhallintajärjestelmätsäänennustus020801 environmental engineeringWater resourcesälytekniikkaEnvironmental sciencecomputerrain predictionpredictive control
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Towards Shipping 4.0. A preliminary gap analysis

2020

Abstract The paradigm of Industry 4.0 involves a substantial innovation to the value creation approach thought the supply chain and the application of digital enabling technologies like the Internet of Things (IoT), Big Data Analytics (BDA) and cloud computing. The fourth industrial revolution is thus expected to have a disruptive impact on maritime transport and shipping sectors, where smart ships and autonomous vessels well be part of a new and fully interconnected maritime ecosystem. Specific hardware components, such as sensors, actuators, or processors will be embedded in the ship’s key systems in order to provide valuable information to increase the efficiency, sustainability and safe…

0209 industrial biotechnologysmart shipBig Data Analytics (BDA)business.industryComputer scienceSupply chainBig dataCloud computing02 engineering and technologyGap analysisBusiness modelIndustry 4.0Maturity (finance)Industrial and Manufacturing EngineeringInternet of Things (IoT)Engineering management020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringArtificial IntelligenceSettore ING-IND/17 - Impianti Industriali MeccaniciSustainabilityValue chainbusinessProcedia Manufacturing
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Finding Software Bugs in Embedded Devices

2021

AbstractThe goal of this chapter is to introduce the reader to the domain of bug discovery in embedded systems which are at the core of the Internet of Things. Embedded software has a number of particularities which makes it slightly different to general purpose software. In particular, embedded devices are more exposed to software attacks but have lower defense levels and are often left unattended. At the same time, analyzing their security is more difficult because they are very “opaque”, while the execution of custom and embedded software is often entangled with the hardware and peripherals. These differences have an impact on our ability to find software bugs in such systems. This chapt…

021110 strategic defence & security studiessulautettu tietotekniikkaComputer sciencebusiness.industryembedded devices0211 other engineering and technologies020207 software engineering02 engineering and technologysecurityField (computer science)Domain (software engineering)Embedded softwareSoftwareSoftware bugohjelmointivirheetSoftware deploymentEmbedded systemsoftware bugs0202 electrical engineering electronic engineering information engineeringtietoturvabusinessInternet of ThingsGeneral purpose software
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A Clustering approach for profiling LoRaWAN IoT devices

2019

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…

050101 languages & linguisticsIoTComputer scienceIoT; LoRa; LoRaWAN; machine learning; k-means; anomaly detection; cluster analysisk-means02 engineering and technologyLoRaSilhouette0202 electrical engineering electronic engineering information engineeringProfiling (information science)Wireless0501 psychology and cognitive sciencesCluster analysisbusiness.industryNetwork packetSettore ING-INF/03 - Telecomunicazioni05 social sciencesk-means clusteringanomaly detectionLoRaWANmachine learning020201 artificial intelligence & image processingAnomaly detectionInternet of ThingsbusinessComputer networkcluster analysis
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Retrieving Monitoring and Accounting Information from Constrained Devices in Internet-of-Things Applications

2013

Part 6: Monitoring Mechanisms; International audience; Internet-of-Things (IoT) is envisioned to provide connectivity to a vast number of sensing or actuating devices with limited computational and communication capabilities. For the organizations that manage these constrained devices, the monitoring of each device’s operational status and performance level as well as the accounting of their resource usage are of great importance. However, monitoring and accounting support is lacking in today’s IoT platforms. Hence, this paper studies the applicability of the Constrained Application Protocol (CoAP), a lightweight transfer protocol under development by IETF, for efficiently retrieving monito…

10009 Department of InformaticsComputer scienceDistributed computingInternet of ThingsReal-time computingMonitoring and Accounting Infrastructure020206 networking & telecommunications02 engineering and technology000 Computer science knowledge & systemsSimple Network Management ProtocolConstrained Application ProtocolSecurity Assertion Markup Language[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Resource (project management)CoAPAccounting information system0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]esineiden internet020201 artificial intelligence & image processing1700 General Computer Science2614 Theoretical Computer ScienceWireless sensor networkProtocol (object-oriented programming)
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