Smart Grid is an important application in Internet Of Things (IOT). Monitoring data in large-scale smart grid are massive, real-time and dynamic which collected by a lot of sensors, Intelligent Electronic Devices (IED...
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Model estimation is important for robotic grasping. Since in order to make a decision about how to grasp the object, the robot should know where the target is and what it looks like. In this paper we propose a method ...
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Security requirements elicitation and modelling are integral for the successful development of secure systems. However, there are a lot of similar yet not identical approaches that currently exist for security require...
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In this paper, we propose a micro fuel cell power management circuit design for portable devices. The circuit combines two power sources, fuel cell for our main power supply and lithium-ion battery for backup power, a...
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In the recent years, high performance computing (HPC) resources has grown up rapidly and diversely. The next generation of HPC platforms is assembled from resources of various types such as multi-core CPUs and GPUs. T...
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Performance of motor imagery based brain-computer interfaces (MI BCIs) greatly depends on how to extract the features. Various versions of filter-bank based common spatial pattern have been proposed and used in MI BCI...
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ISBN:
(纸本)9781509028092
Performance of motor imagery based brain-computer interfaces (MI BCIs) greatly depends on how to extract the features. Various versions of filter-bank based common spatial pattern have been proposed and used in MI BCIs. Filter-bank based common spatial pattern has more number of features compared with original common spatial pattern. As the number of features increases, the MI BCIs using filter-bank based common spatial pattern can face overfitting problems. In this study, we used eigenvector centrality feature selection method, wavelet packet decomposition common spatial pattern, and kernel extreme learning machine to improve the performance of MI BCIs and avoid overfitting problems. Furthermore, the computational speed was improved by using kernel extreme learning machine.
This paper introduces a novel application of artificial bee colony (ABC) in designing the coordinated Power System Stabilizer (PSS) with Thyristor Controlled Series Compensator (TCSC) based Controller to improve the t...
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Each and every sector in this digital world is undergoing a dramatic change due to the influence of IT field. The agricultural sector needs more support for its development in developing countries like India. Price pr...
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Traffic offloading over heterogeneous networks allows the traffic to be offloaded between networks, in order to ease the strain on the overloaded network. In this paper, a cognitive cooperative traffic offloading sche...
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For the single training sample per person (SSPP) problem, this paper proposes an adaptive weighted LTP algorithm with a novel weighted method involving the standard deviation of the sub-images' feature histogram. ...
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