Πλοήγηση ανά Θέμα "Data communication systems"
Αποτελέσματα 1-15 από 15
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Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification
(2021)Online novelty detection is an emerging task in Edge Computing trying to identify novel concepts in contextual data streams which should be incorporated into predictive analytics and inferential models locally executed on ... -
Application of data mining-based affinity propagation clustering algorithm for diagnosis of mechanical equipment transmission system
(2020)– Data mining techniques used to monitor and diagnose the faults of the transmission system of mechanical equipment, thereby promoting the development of big data analysis in the field of intelligent diagnosis. The Affinity ... -
Clustering of high dimensional data streams
(2012)Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ... -
Cross-layer power control in wireless networks
(2006)We introduce a power control algorithm that exploits queue length information to achieve maximum data throughput in single-hop CDMA wireless networks. The algorithm operates in real-time, i.e., executes a single iteration ... -
Data Fusion and Type-2 Fuzzy Inference in Contextual Data Stream Monitoring
(2017)Data stream monitoring provides the basis for building intelligent context-aware applications over contextual data streams. A number of wireless sensors could be spread in a specific area and monitor contextual parameters ... -
A delay-resilient and quality-aware mechanism over incomplete contextual data streams
(2016)We study the case of scheduling a Contextual Information Process (CIP) over incomplete multivariate contextual data streams coming from sensing devices in Internet of Things (IoT) environments. CIPs like data fusion, concept ... -
Detecting and manipulating compressed alternate data streams in a forensics investigation
(2008)Data hiding technique through Alternate Data Streams in compressed form is poorly documented and less known among Forensic experts. This paper deals with the documentation of Compressed ADS and their attributes concerning ... -
Distributed Localized Contextual Event Reasoning under Uncertainty
(2017)We focus on Internet of Things (IoT) environments where sensing and computing devices (nodes) are responsible to observe, reason, report, and react to a specific phenomenon. Each node (e.g., an unmanned vehicle or an ... -
Efficient change detection for high dimensional data streams
(2015)The recent technological advancements in cloud computing and the access in increasing computational power has led in undertaking the data processing derived by mobile devices. In particular, when these data are high ... -
Joint packet retransmission and spectrum sensing for cognitive radio networks
(2014)We model and simulate a joint design of packet retransmission through a hybrid automatic repeat request (HARQ) protocol at the data link layer and spectrum sensing (SpSe) at the physical layer for cognitive radio networks ... -
Landmark based Outliers Detection in Pervasive Applications
(2021)The combination of the Internet of Things and the Edge Computing gives many opportunities to support innovative applications close to end users. Numerous devices present in both infrastructures can collect data upon which ... -
Maximum lifetime routing in wireless sensor networks
(2004)A routing problem in static wireless ad hoc networks is considered as it arises in a rapidly deployed, sensor based, monitoring system known as the wireless sensor network. Information obtained by the monitoring nodes needs ... -
Performance Evaluation Analysis of an Unslotted Transmission Mechanism in Optical Intra-Data Center Networks
(2022)The big data industry and the telecom operators gradually shift to the optical interconnection solution for their data center networks (DCN s), upgrading part of the previous electrical switching functions. During this ... -
Proactive Data Allocation in Distributed Datasets based on an Ensemble Model
(2021)The evolution of the Internet of Things (IoT) drives the incorporation of numerous devices into a huge infrastructure where various services can be provided. Devices are located close to users being capable to interact ... -
A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications
(2020)Pervasive computing applications deal with the incorporation of intelligent components around end users to facilitate their activities. Such applications can be provided upon the vast infrastructures of the Internet of ...