Search results for "55"

showing 10 items of 2320 documents

What is the Natural Abstraction Level of an Algorithm?

2021

Abstract State Machines work with algorithms on the natural abstraction level. In this paper, we discuss the notion of the natural abstraction level of an algorithm and how ASM manage to capture this abstraction level. We will look into three areas of algorithms: the algorithm execution, the algorithm description, and the algorithm semantics. We conclude that ASM capture the natural abstraction level of the algorithm execution, but not necessarily of the algorithm description. ASM do also capture the natural abstraction level of execution semantics.

Computer scienceSemantics (computer science)Abstract state machinesNatural (music)VDP::Technology: 500::Information and communication technology: 550AlgorithmAbstraction layerAbstraction (linguistics)
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Indoor Space Classification Using Cascaded LSTM

2020

Author's accepted manuscript. © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain. There are various approaches that employ Bluetooth Low Energy (BLE), Wi-Fi, magnetic field, object detecti…

Computer scienceUltra-wideband020302 automobile design & engineering02 engineering and technologySpace (commercial competition)computer.software_genreObject detectionlaw.inventionDomain (software engineering)Bluetooth0203 mechanical engineeringlaw0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningcomputerVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Hidden Markov Model Based Machine Learning for mMTC Device Cell Association in 5G Networks

2019

Massive machine-type communication (mMTC) is expected to play a pivotal role in emerging 5G networks. Considering the dense deployment of small cells and the existence of heterogeneous cells, an MTC device can discover multiple cells for association. Under traditional cell association mechanisms, MTC devices are typically associated with an eNodeB with highest signal strength. However, the selected eNodeB may not be able to handle mMTC requests due to network congestion and overload. Therefore, reliable cell association would provide a smarter solution to facilitate mMTC connections. To enable such a solution, a hidden Markov model (HMM) based machine learning (ML) technique is proposed in …

Computer sciencebusiness.industryAssociation (object-oriented programming)Reliability (computer networking)05 social sciences050801 communication & media studiesMachine learningcomputer.software_genreNetwork congestion0508 media and communicationsEnodeB0502 economics and business050211 marketingArtificial intelligenceState (computer science)Hidden Markov modelbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computer5GData transmissionICC 2019 - 2019 IEEE International Conference on Communications (ICC)
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The Influence of LOS Components on the Statistical Properties of the Capacity of Amplify-and-Forward Channels

2009

Also available from publisher: http://dx.doi.org/10.4236/wsn.2009.11002 Amplify-and-forward channels in cooperative networks provide a promising improvement in the network coverage and system throughput. Under line-of-sight (LOS) propagation conditions in such cooperative networks, the overall fading channel can be modeled by a double Rice process. In this article, we have stud-ied the statistical properties of the capacity of double Rice fading channels. We have derived the analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level- crossing rate (LCR), and average duration of fades (ADF) of the channel capacity. The obtained results ar…

Computer sciencebusiness.industryCumulative distribution functionProbability density functionThroughputCommunications systemTopologysymbols.namesakeChannel capacityAmplitudeVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552symbolsFadingRayleigh scatteringTelecommunicationsbusinessComputer Science::Information TheoryWireless Sensor Network
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An Empirical Investigation of Performance Overhead in Cross-Platform Mobile Development Frameworks

2020

AbstractThe heterogeneity of the leading mobile platforms in terms of user interfaces, user experience, programming language, and ecosystem have made cross-platform development frameworks popular. These aid the creation of mobile applications – apps – that can be executed across the target platforms (typically Android and iOS) with minimal to no platform-specific code. Due to the cost- and time-saving possibilities introduced through adopting such a framework, researchers and practitioners alike have taken an interest in the underlying technologies. Examining the body of knowledge, we, nonetheless, frequently encounter discussions on the drawbacks of these frameworks, especially with regard…

Computer sciencebusiness.industryMobile appMobile apps020206 networking & telecommunications020207 software engineering02 engineering and technologyData scienceBody of knowledgeDevelopment approachesUser experience designCross-platform0202 electrical engineering electronic engineering information engineeringCross-platform developmentMobile developmentAndroid (operating system)User interfacePerformance benchmarkEmpirical evidencebusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Software
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Reliable Underlay Device-to-Device Communications on Multiple Channels

2019

Device-to-device (D2D) communications provide a substantial increase in spectrum usage and efficiency by allowing nearby users to communicate directly without passing their packets through the base station (BS). In previous works, proper channel assignment and power allocation algorithms for sharing of channels between cellular users and D2D pairs, usually require exact knowledge of the channel-state-information (CSI). However, due to the non-stationary wireless environment and the need to limit the communication and computation overheads, obtaining perfect CSI in the D2D communication scenario is generally not possible. In this work, we propose a joint channel assignment and power allocati…

Computer sciencebusiness.industryNetwork packetComputationReliability (computer networking)05 social sciences050801 communication & media studies020302 automobile design & engineeringThroughput02 engineering and technologyBase station0508 media and communications0203 mechanical engineeringComputer Science::Networking and Internet ArchitectureWirelessUnderlaybusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science::Information TheoryCommunication channelComputer network2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Real Models are Really on M0 - Or How to Make Programmers Use Modeling

2020

This paper discusses the term ’model’ and the role of the level M0 in the four-layer metamodeling architecture of MOF/OMG. It illustrates the failures of the OMG MOF standard and how a model is an abstraction, not a description. We apply two simple approaches: (1) observing the use of models (of real or planned systems) in system development, including prototyping, simulations, and models in general, and (2) comparing modeling with programming. These approaches lead to the conclusion that models should be placed on M0, while UML models are model descriptions. This conclusion leads to a better understanding of InstanceSpecification for description of snapshots, and of metamodeling applied to…

Computer sciencebusiness.industrySoftware engineeringbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Peer review
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Parameter optimization for amplify-and-forward relaying systems with pilot symbol assisted modulation scheme

2009

Article published in the journal:Wireless Sensor Network Also available from publisher: http://dx.doi.org/10.4236/wsn.2009.11003 Cooperative diversity is a promising technology for future wireless networks. In this paper, we consider a cooperative communication system operating in an amplify-and-forward (AF) mode with a pilot symbol assisted modulation (PSAM) scheme. It is assumed that a linear minimum mean square estimator (LMMSE) is used for the channel estimation at the receiver. A simple and easy-to-evaluate asymptotical upper bound (AUB) of the symbol-error-rate (SER) is derived for uncoded AF cooperative communication systems with quadrature amplitude modulation (QAM) constellations. …

Computer sciencebusiness.industryWiener filterEstimatorCommunications systemUpper and lower boundsCooperative diversityQAMsymbols.namesakeControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552symbolsOverhead (computing)TelecommunicationsbusinessQuadrature amplitude modulationComputer Science::Information Theory
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An Integrated Wireless Communication Architecture for Maritime Sector

2011

Published version of a chapter in the book: Multiple Access Communications. Also available from the publisher at http://dx.doi.org/10.1007/978-3-642-23795-9_17 The rapid evolution of terrestrial wireless systems has brought mobile users more and more desired communication services. Maritime customers are asking for the same, such as the concepts of “Broadband at Sea” and “Maritime Internet”. Quite a lot of research work has focused on the development of new and better maritime communication technologies, but less attention has been paid on interworking of multiple maritime wireless networks or on satisfying service provisioning. To address this, an integrated wireless Communication Architec…

Computer sciencebusiness.industryWireless networkInmarsat-CHandoverVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552BroadbandWirelessThe InternetQuality of experienceArchitectureTelecommunicationsbusinesscommunication architecture network integration maritime
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Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks.

2020

Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU …

Computer sciencechannel aggregating02 engineering and technologyBlocking (statistics)lcsh:Chemical technologyBiochemistryArticleAnalytical Chemistry0203 mechanical engineeringflow-adaptive spectrum leasing0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550business.industryQuality of serviceSpectrum (functional analysis)020302 automobile design & engineering020206 networking & telecommunicationsAtomic and Molecular Physics and OpticsCognitive radioTransmission (telecommunications)Flow (mathematics)cognitive radio networksbusinessCommunication channelComputer networkSensors (Basel, Switzerland)
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