Congestion control model for securing internet of things data flow
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102160
Abstract: Abstract Due to enormous amount of data in emerging Internet of Things (IoT) applications, congestion control of traffic flow is very important to achieve certain level of security and Quality of Service (QoS). In the… read more here.
Keywords: data flow; congestion control; control; scheme ... See more keywords
Securing the Data Flow for Blockchain Technology in a Production Environment
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.10.012
Abstract: Abstract For several years, blockchain technology have been used and tested in various prototypes for production environments. The main focus of these approaches is the feasibility of different applications. It is usually simply assumed that… read more here.
Keywords: blockchain technology; data flow; blockchain; production ... See more keywords
Analysis of neutron sensitivity and data-flow error detection in ARM microprocessors using NEON SIMD extensions
Sign Up to like & getrecommendations! Published in 2019 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2019.06.038
Abstract: Abstract This work analyzes the sensitivity to neutrons of SIMD (Single Instruction Multiple Data) microprocessor extensions. To this purpose, the ARM SIMD coprocessor (NEON™) was selected as a case study and neutron radiation experiments were… read more here.
Keywords: data flow; using neon; neutron sensitivity; analysis neutron ... See more keywords
A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2078281
Abstract: Anomaly detection is a critical technique that ensures the reliability of WSNs. However, most existing anomaly detection methods only consider the case of single modal data flow anomaly detection for each node or multiple modal… read more here.
Keywords: data flow; wsn data; novel anomaly; detection ... See more keywords
Research on Intelligent Configuration Method of Mine IoT Communication Resources Based on Data Flow Behavior
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025200
Abstract: In order to ensure production safety and improve production efficiency, mining enterprises are constantly accelerating the construction of mine Internet of Things systems. In the context of a substantial increase in the number of devices… read more here.
Keywords: communication; network communication; data flow; classifier model ... See more keywords
Introducing Polyglot-Based Data-Flow Awareness to Time-Series Data Stores
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3187405
Abstract: The rising interest in extracting value from data has led to a broad proliferation of monitoring infrastructures, most notably composed by sensors, intended to collect this new oil. Thus, gathering data has become fundamental for… read more here.
Keywords: time; polyglot based; data flow; time series ... See more keywords
A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3198969
Abstract: BPMN process models have been widely used in software designs. The BPMN process models are characterized by a static graph-oriented modeling language and a lack of analytical capabilities as well as dynamic behavior verification capabilities,… read more here.
Keywords: bpmn process; data flow; process models; model ... See more keywords
MD-MARS: Maintainability Framework Based on Data Flow Prediction Using Multivariate Adaptive Regression Splines Algorithm in Wireless Sensor Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3240504
Abstract: The demand for Wireless Sensor Networks is increasing day by day because of their diverse nature. Due to the limited energy, it is a complex task to retract the sensor node after deployment. So, there… read more here.
Keywords: network; data flow; phase; maintainability ... See more keywords
Modeling and Simulation of Data Flow for VLAN-Based Communication in Substations
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2015.2428058
Abstract: IEC 61850, the standard for communication in substations, has resolved the interoperability between intelligent electronic devices (IEDs) from different vendors. Thus, the IEDs' uniform communication standard contributes to the realization of more sophisticated functionality in… read more here.
Keywords: data flow; network; communication; communication substations ... See more keywords
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2018.2878183
Abstract: Coarse-grained reconfigurable architectures (CGRAs) have drawn increasing attention due to their flexibility and energy efficiency. Data flow graphs (DFGs) are often mapped onto CGRAs for acceleration. The problem of DFG mapping is challenging due to… read more here.
Keywords: flow graph; cgra; reinforcement learning; deep reinforcement ... See more keywords
Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on Processing-in-Memory Architectures
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2019.2958568
Abstract: Recent state-of-the-art deep convolutional neural networks (CNNs) have shown remarkable success in current intelligent systems for various tasks, such as image/speech recognition and classification. A number of recent efforts have attempted to design custom inference… read more here.
Keywords: tex math; weight; memory; inline formula ... See more keywords