Signal Processing

The integration of uncrewed aerial vehicles (UAVs)

with fifth-generation (5G) cellular networks has been a prominent

research focus in recent years and continues to attract significant

interest in the context of sixth-generation (6G) wireless networks.

UAVs can serve as aerial wireless platforms to provide on-demand

coverage, mobile edge computing, and enhanced sensing and

communication services. However, UAV-assisted networks present

new opportunities and challenges due to the inherent size, weight,

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We developed a unique and valuable dataset specifically for advancing Brain-Computer Interface (BCI) systems by recording brain activity from a dedicated volunteer. The participant was asked to pronounce 100 carefully selected Malayalam words, along with their English translations, which were chosen for their relevance to astronauts during human space missions. The volunteer pronounced these words both vocally and subvocally, each word being repeated 50 times. Non-invasive Electroencephalography (EEG) sensors were employed to capture the brain activity associated with these tasks.

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After loading the MAT file (as in MATLAB with the load function), there are three variables (matrices): amplitude_complex_T1, amplitude_complex_T2, and amplitude_complex_info.

The headers of the data are stored in the amplitude_complex_info variable. Each row (with a length of 48) represents the data header of a pulse echo, with each position in the row representing a specific meaning as shown in the table. Each row of the amplitude_complex_info variable corresponds to each row in the amplitude_complex_T1 and amplitude_complex_T2 variables.

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As the world increasingly becomes more interconnected, the demand for safety and security is ever-increasing, particularly for industrial networks. This has prompted numerous researchers to investigate different methodologies and techniques suitable for intrusion detection systems (IDS) requirements. Over the years, many studies have proposed various solutions in this regard, including signature-based and machine learning (ML)-based systems. More recently, researchers are considering deep learning (DL)-based anomaly detection approaches.

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The present numerical work combines gain switching and external optical feedback to generate pulses with a high level of coherence across a large array of semiconductor lasers. The influence of several parameters such as modulation frequency, feedback strength and frequency detuning is analyzed and this dataset gathers the temporal traces generated with our code, that is adapted from the Lang-Kobayashi model to take into account decayed coupling in an array of lasers.

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This dataset contain the pulse responses of the Sallen-Key bandpass filter circuit and the amplifier board circuit. The test excitation is a 10 us pulse signal with an amplitude of 5 V and a frequency of 5 kHZ that exhibits abundant frequency components. By observing the pulse response, the sampling frequency is set to 5 MHz and the number of sampling points for each sample is fixed at 1000 in Case 1. PSPICE is applied for circuit simulation to set up the circuit fault according to the range of fault component parameter values.
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The scope of this challenge is development of signal processing methods for localizing a gas source using in-situ wind speed and gas concentrations measurements. The methods are designed to advance robotic olfaction and associated autonomous robotic exploration techniques -- highly relevant yet challenging problems in the context of gas source localization, environmental monitoring, and civil security, to name only a few.

Last Updated On: 
Thu, 11/28/2024 - 06:35
Citation Author(s): 
D. Shutin, A.J. Lilienthal, C. Munoz, P. Hinsen,T. Wiedemann, V. Prieto Ruiz, S. Zhang, H. Fan

These are tight pedestrian masks for the thermal images present in the KAIST Multispectral pedestrian dataset, available at https://soonminhwang.github.io/rgbt-ped-detection/

Both the thermal images themselves as well as the original annotations are a part of the parent dataset. Using the annotation files provided by the authors, we develop the binary segmentation masks for the pedestrians, using the Segment Anything Model from Meta.

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We used the recording data of four marine mammals from 1940 to 2000 provided by the Watkins Marine Mammal Sound Library, namely 'Killer Whale', 'Humpback Whale', 'Pilot Whale', and 'Bottlenose Dolphin'. This sound library provides researchers with three options for experimental use: selected clips, complete clip sets, and original tapes [39]. This paper relies on selected clips. This part of the data further shows the wide applicability of our model because it covers different time periods, geographical locations, and recording equipment.

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Abstract—In recent years, there has been a significant advancement

in the field of healthcare systems with the introduction

of fifth generation cellular communications and beyond (5GB).

This development has paved the way for the utilization of

telecommunications technologies in healthcare systems with an

level of certainty, reaching up to 99.999 percent. In this paper,

we present a novel task computing framework that can address

the requirements of healthcare systems, such as reliability. In

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