Search results for "network"

showing 10 items of 7718 documents

An Approach for Network Outage Detection from Drive-Testing Databases

2012

A data-mining framework for analyzing a cellular network drive testing database is described in this paper. The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. The essence of the method is to find similarities between periodical network measurements and previously known outage data. For this purpose, diffusion maps dimensionality reduction and nearest neighbor data classification methods are utilized. The method is cognitive because it requires training data for the outage detection. In addition, the method is autonomous because it uses minimization of drive testing (MDT) functionalit…

ta113cellular network drive testing databaseDowntimeArticle SubjectDatabaseComputer Networks and CommunicationsComputer scienceDimensionality reductionData classificationDiffusion mapcomputer.software_genrelcsh:QA75.5-76.95Base stationHandoverCellular networklcsh:Electronic computers. Computer scienceData miningtiedonlouhintacomputerInformation SystemsTest dataJournal of Computer Networks and Communications
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Cognitive self-healing system for future mobile networks

2015

This paper introduces a framework and implementation of a cognitive self-healing system for fault detection and compensation in future mobile networks. Performance monitoring for failure identification is based on anomaly analysis, which is a combination of the nearest neighbor anomaly scoring and statistical profiling. Case-based reasoning algorithm is used for cognitive self-healing of the detected faulty cells. Validation environment is Long Term Evolution (LTE) mobile system simulated with Network Simulator 3 (ns-3) [1, 2]. Results demonstrate that cognitive approach is efficient for compensation of cell outages and is capable to improve network coverage. Anomaly analysis can be used fo…

ta113cognitionta213Performance managementComputer sciencebusiness.industryDistributed computingCognitiondata miningcomputer.software_genreAutomationanomaly detectionFault detection and isolation5G networksNetwork simulationcompensationcell outageRobustness (computer science)self-healingAnomaly detectionData miningbusinesscomputer5G2015 International Wireless Communications and Mobile Computing Conference (IWCMC)
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Context-aware data caching for 5G heterogeneous small cells networks

2016

In this work, we investigate the problem of context-aware data caching in the heterogeneous small cell networks (HSCNs) to provide satisfactory to the end-users in reducing the service latency. In particular, we explore the storage capability of base stations (BSs) in HSCNs and propose a data caching model consists of edge caching elements (CAEs), small cell base stations (SBSs), and macro cell BS (MBS). Then, we concentrate on how to efficiently match the data contents to the different cache entities in order to minimize the overall system service latency. We model it as a distributed college admission (CA) stable matching problem and tackle this issue by utilizing contextual information t…

ta113context awareta213Computer sciencebusiness.industryQuality of servicematching05 social sciences050801 communication & media studies020206 networking & telecommunicationssmall cell networks02 engineering and technologycontent cachingSmart CacheBase station0508 media and communicationsServer0202 electrical engineering electronic engineering information engineeringLeverage (statistics)CacheSmall cellbusinessComputer network
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Towards the cyber security paradigm of ehealth: Resilience and design aspects

2017

Digital technologies have significantly changed the role of healthcare clients in seeking and receiving medical help, as well as brought up more cooperative policy issues in healthcare cross-border services. Citizens continue to take a more co-creative role in decisions about their own healthcare, and new technologies can enable and facilitate this emergent trend. In this study, healthcare services have been intended as a critical societal sector and therefore healthcare systems are focused on as critical infrastructures that ought to be protected from all types of fears, including cyber security threats and attacks. Despite continual progress in the systemic risk management of cyber domain…

ta113e-healthcareEmerging technologiesbusiness.industrycyber securityComputer securitycomputer.software_genreAnticipation (artificial intelligence)Critical information infrastructureHealth careSystemic riskeHealthBusinessteleterveydenhuoltoResilience (network)kyberturvallisuuscomputerHealthcare system
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Detection of Fake Profiles in Social Media - Literature Review

2017

ta113identiteettiväärennöksetfalse identitiessocial network analysisverkkoprofiilitComputer sciencebusiness.industrysocial mediaInternet privacysosiaalinen mediafake profilesväärennöksetidentiteettiSocial mediata518businessProceedings of the 13th International Conference on Web Information Systems and Technologies
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Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis

2017

ta113longitudinal dataidentiteettiväärennöksetsocial network analysisComputer scienceLongitudinal dataverkkoprofiilitsosiaalinen mediaData scienceanomaly detectiongraph miningväärennöksetidentiteettisuspicious behaviour
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Recommending Serendipitous Items using Transfer Learning

2018

Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…

ta113recommender systemInformation retrievalTraining setArtificial neural networkComputer sciencebusiness.industrySerendipityDeep learningsuosittelujärjestelmätdeep learning020207 software engineeringserendipity02 engineering and technologyRecommender systemtransfer learningalgorithmskoneoppiminenalgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)Artificial intelligenceTransfer of learningbusiness
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Data mining framework for random access failure detection in LTE networks

2014

Sleeping cell problem is a particular type of cell degradation. There are various software and hardware reasons that might cause such kind of cell outage. In this study a cell becomes sleeping because of Random Access Channel (RACH) failure. This kind of network problem can appear due to misconfiguration, excessive load or software/firmware problem at the Base Station (BS). In practice such failure might cause network performance degradation, which is hardly traceable by an operator. In this paper we present a data mining based framework for the detection of problematic cells. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving BS. The choice of N i…

ta113sleeping cell problembusiness.industryComputer scienceFirmwareHeuristic (computer science)Event (computing)Reliability (computer networking)data miningLTE networkscomputer.software_genreBase stationRandom-access channelUser equipmentData miningbusinessrandom access channelcomputerRandom accessComputer network2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
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Towards enabling privacy preserving smart city apps

2016

Smart city applications are increasingly relying on personally identifiable data. A disclosure of such a data to a platform provider and possible 3rd parties represents a risk to the privacy of the application users. To mitigate the privacy risk, two-layer privacy-preserving platform architecture is introduced, wherein the personally identifiable information is dealt with at the inner layer (executed in a trusted environment), whereas only generic and personally unidentifiable information is made available to the apps at the outer layer of the architecture — e.g., in a form of app-specific events. The essential requirements for the platform are described, and the architectural implications …

ta113smart city application platformInformation privacyPrivacy by DesignComputer sciencebusiness.industryPrivacy softwareMultitier architectureInternet privacy020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genreprivacylayered architecture020204 information systemsSmart city0202 electrical engineering electronic engineering information engineeringLayer (object-oriented design)ArchitecturebusinessPersonally identifiable informationcomputerpersonally identifiable information
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Essence : Reference Architecture for Software Engineering - Representing Essence in Archimate Notation

2018

Essence is a standard for working with methods in software engineering. As such, it can be seen as the reference architecture for software engineering. The Essence consists of the Kernel, and a notation called the Language. This representation is not widely known and likely hinders the adoption of the Essence. This paper represents the work-in-progress of representing the Essence using ArchiMate, the de facto notation for enterprise architecture. Our purpose is to help organisations to adopt Essence by representing it in the language already understood by different stakeholders. peerReviewed

ta113software development methodbusiness.industryComputer scienceSEMAT020206 networking & telecommunications020207 software engineering02 engineering and technologyNotationessenceArchiMatekernel0202 electrical engineering electronic engineering information engineeringReference architectureSoftware engineeringbusinessohjelmistokehitys
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