Communications
Dataset1
- Categories:
340 Views
JVNV is a Japanese emotional speech corpus with verbal content and nonverbal vocalizations whose scripts are generated by a large-scale language model.
Existing emotional speech corpora lack not only proper emotional scripts but also nonverbal vocalizations (NVs) that are essential expressions in spoken language to express emotions.
We propose an automatic script generation method to produce emotional scripts by providing seed words with sentiment polarity and phrases of nonverbal vocalizations to ChatGPT using prompt engineering.
- Categories:
644 Views
Social Media Big Dataset for Research, Analytics, Prediction, and Understanding the Global Climate Change Trends is focused on understanding the climate science, trends, and public awareness of climate change. The use of dataset for analytics of climate change trends greatly helps in researching and comprehending global climate change trends.
- Categories:
4133 Views
The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.
- Categories:
511 Views
Modern, industrial use cases for wireless communications are related to mobile applications such as moving robotics in industrial environments. For the design of communication systems, the behavior of the radio channel, especially over time, is of great importance. Most of the existing data sets for industrial radio channels originate from static measurement procedures, containing an arbitrary subset of the environment.
- Categories:
643 Views
The data repository contains detailed information about theoretical model used in the simulations and data sets obtained with simulations for the article with the title "Maximum-Likelihood Detection with QAOA for Massive MIMO and Sherrington-Kirkpatrick Model with Local Field at Infinite Size". For a comprehensive understanding, please refer to the main article. We apply Quantum-approximate optimization algorithm (QAOA) on maximum-likelihood (ML) detection of massive multiple-input multiple output (MIMO) systems.
- Categories:
305 Views
This dataset provides valuable insights into Received Signal Reference Power (RSRP) measurements collected from four User Equipment (UE) devices strategically positioned within a moving train.
Additionally, it includes RSRP values obtained from an external reference source using the rooftop train antenna, all systematically interpolated on a cell and frequency basis, with both datasets available.
- Categories:
814 Views
SCVIC-TS-2022: Network intrusion data with original raw network packets
- Categories:
743 Views
In ultrahigh-speed coherent optical fiber communication systems, increasing single-carrier data rate is usually considered the foundation for the data rate increase of wavelength division multiplexing (WDM) communication systems. In single-carrier optical fiber communication systems, polarization mode dispersion (PMD) is one of the most critical factors affecting the data rate increase.
- Categories:
34 Views
The increasing complexity of cellular networks has resulted in dynamic network performance optimization (NPO) playing a critical role in streamlining network operations. While the success of NPO techniques primarily depends upon the quality and quantity of telemetry data available from the underlying network, up until now, third-party access to such data has been largely limited due to the prevalence of proprietary interfaces throughout the access network. However, the upcoming open radio access network (RAN) architecture is set to change this trend.
- Categories:
340 Views