Analog signal processing

In the first four txt files, the first two numbers in the file name represent the phase change interval, while the third number represents the phase change step. For example, the first dataset shows that the phase ranges from 0 to 60° with a step size of 15°. In the fifth txt file, the Q value fluctuates between 2 and 4° with a phase step of 1°.

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The dataset is derived from sampling Modbus commands in RS485 fieldbus networks, where the communication baud rate is 9.6k bit/s and the sampling frequency is set to 100 KS/s. In the dataset, 2000 signals are stored as normal data and abnormal data based on different intrusion devices in .xlsx format, respectively, with a total size of 170 MB. In this dataset, the attack scenario is the unauthorized insertion of a silent intrusion device into the fieldbus, thereby eavesdropping communication data.

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Dataset Description

A dataset containing data collected from measuring the drift characteristics titanium dioxide memristors, for a variety of initial states, under zero-bias conditions.

The devices used were TiO2 devices, with Al2O3 interstitials - the same device type as used in [1].

Data Collection

Devices were electroformed using a series of steadily increasing voltage pulses, ranging in magnitude from 3V to 10V with a step of 0.5V. The electroforming pulse widths ranged from 10µs to 100µs.

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The "Thaat and Raga Forest (TRF) Dataset" represents a significant advancement in computational musicology, focusing specifically on Indian Classical Music (ICM). While Western music has seen substantial attention in this field, ICM remains relatively underexplored. This manuscript presents the utilization of Deep Learning models to analyze ICM, with a primary focus on identifying Thaats and Ragas within musical compositions. Thaats and Ragas identification holds pivotal importance for various applications, including sentiment-based recommendation systems and music categorization.

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481 Views

PV Solar Power System Under Partial Shading Irradiance Conditions

Operation of a solar photovoltaic (PV) array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.

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381 Views

This dataset is

This is all data from the paper submitted to [2024 ICCE].

#1570910095 ('Silicon Transistor (Solid-State) Amplifiers Produce Vacuum Tube Amplifier Sound')

 

The main data submitted is

It is the "IEA4V-PAPER-Silicon-TR-Amp-word365-main-ENG2.0-Rev2.14-20230503pm1527-Rev *.*.PDF" file, and there are several files that have been slightly modified.

The remaining PDF files are supplementary materials cited from the submitted main material.

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Raw data of 'Tetherless Multi-targeted Bioimpedance Device for Monitoring Peripheral Artery Disease Progression'

 The dataset includes results from measurements of pulse signals from three different arteries using a commercial bioimpedance device mentioned in the paper, both using the conventional method and the proposed approach.

Moreover, the dataset encompasses simulated outcomes derived from HFSS (High-Frequency Structure Simulator), specifically investigating the impact of different plaque sizes on current induction at various frequencies.

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61 Views

The "Multi-modal Sentiment Analysis Dataset for Urdu Language Opinion Videos" is a valuable resource aimed at advancing research in sentiment analysis, natural language processing, and multimedia content understanding. This dataset is specifically curated to cater to the unique context of Urdu language opinion videos, a dynamic and influential content category in the digital landscape.

Dataset Description:

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DESED dataset is the dataset that was used in DCASE 2019 task 4. The dataset for this task is composed of 10 sec audio clips recorded in domestic environment or synthesized using Scaper to simulate a domestic environment.

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100 Views

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