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Optimized Multi-Core Parallel Tracking for Big Data Streaming Applications
Efficient real-time clustering is a relevant topic in big data streams. Data stream clustering needs necessarily a short time execution frame with bounded memory utilizing a one-scan process. Because of the massive volumes and dynamics of data streams, parallel clustering solutions are urgent. This paper presents a new approach for this trend, with advantages to…
Read More Performance Analysis of Selective Repeat ARQ Protocol Used in Digital Data Transmission Over Unreliable Channels
Stop and Wait (SW) ARQ, Go Back N (GBN) ARQ, and Selective Repeat (SR) ARQ are the main ARQ (Automatic-Repeat-reQuest) protocols used to ensure reliable delivery of digital data at correct sequence. These protocols are implemented at the DLC (Data Link Control) sub layer of Data Link Layer (DLL) of OSI (Open System Interconnection) network…
Read More Performance Analysis of Go-Back-N ARQ Protocol Used in Data Transmission Over Noisy Channels
Automatic Repeat reQuest (ARQ) protocols are used to control transmission errors in data communications. They are used at Data Link Control (DLC) sublayer of Data Link Layer (DLL) of OSI (Open Systems Interconnection) network model to achieve flow and error control and provide smooth and reliable transmission between network nodes. ARQ protocols use acknowledgments and…
Read More Artificial Bee Colony-Optimized LSTM for Bitcoin Price Prediction
In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…
Read More Three-Dimensional EEG Signal Tracking for Reproducible Monitoring of Self-Contemplating Imagination
Electroencephalography (EEG) can globally monitor neural activity in millisecond scale, which is critical for identifying causality of human brain functions and mechanisms. However, to obtain accurate EEG stimulation-response relationship one usually needs to repeat multiple-ten times of stimulation-response recording to average out background signals of other irreverent brain activities, making real-time monitoring difficult to be…
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