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Keyword: STC
Doubling the Number of Connected Devices in Narrow-band Internet of Things while Maintaining System Performance: An STC-based Approach
Narrow-band Internet of Things (NB-IoT) is a low-power wide-area network (LPWAN) method that was first launched by the 3rd generation partnership project (3GPP) Rel-13 with the purpose of enabling low-cost, low-power, and wide-area cellular connections for the Internet of Things (IoT). As the demand for over-the-air services grows and with the number of linked wireless…
Read More An Efficient Performance of OFDM-Shaped Symbol for 5G Green Communication Compared to FBMC
The filter bank multi-carrier (FBMC) technique is being considered as the major candidates for the 5G schemes. The orthogonal frequency division multiplexing (OFDM) technique is used in 4G but it has drawbacks such as higher Out-of-Band (OOB) power reduction, and higher peak to average power ratio (PAPR). OFDM uses cyclic prefix (CP) extension to overcome…
Read More Extending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data
One of the open domain challenges for Spoken Dialogue System (SDS) is to maintain a natural conversation for rarely visited domain i.e. domain with fewer data. Spoken Language Understanding (SLU) is a component of SDS that converts user utterance into a semantic form that a computer can understand. If we scale SDS open domain challenge…
Read More Retrieving Dialogue History in Deep Neural Networks for Spoken Language Understanding
In this paper, we propose a revised version of the semantic decoder for multi-label classification task in the spoken language understanding (SLU) pilot task of the Dialog State Tracking Challenge 5 (DSTC5). Our model concatenates two deep neural networks – a Convolutional Neural Network (CNN) and a Recurrent Neural Networks (RNN) – for detecting semantic…
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