Motivation: Recent technological innovations in flow cytometry now allow oceanographers to collect high-frequency flow cytometry data from particles in aquatic environments on a scale far surpassing conventional flow cytometers. The SeaFlow cytometer continuously profiles microbial phytoplankton populations across thousands of kilometers of the surface ocean. The data streams produced by instru...

Recently, Gigabit-Ethernet is rapidly deployed, for the requirement of providing high-speed access technology on service provider, easy and simple management with legacy Ethernet, and to be line-up from Ethernet to 10G Ethernet with standardization of IEEE. Furthermore, very high scaled MAN(MetroPolitian Network) has constructed on several country by Gigabit Ethernet and also made main streams ...

In this paper, a hybrid particle swarm optimization based on the natural selection (NPSO) was presented and used to optimize the parameters of Least Square Support Vector Machine (LSSVM). The NPSO algorithm overcomes the shortcomings of premature convergence and poor local search capability of traditional Particle Swarm Optimization (PSO). Then a classification model of oil-gas-water three-phas...

The concept of IoT (Internet Things) assumes a continuous increase in the number devices, which raises problem classifying them for different purposes. Based on their semantic characteristics, meaning, functionality or domain usage, system classes have been identified so far. This research purpose is to identify devices based traffic flow characteristics such as coefficient variation received a...

There is a growing interest in designing high-performance network devices to perform packet processing at flow level. Applications such as stateful access control, deep inspection and flow-based load balancing all require efficient flow-level packet processing. In this paper, we present a design of high-performance flow-level packet processing system based on multi-core network processors. Main...