With PCF scattering applied to the I-V curve calculation, the low-field electron mobility  , the low-field RS and RD corresponding to different gate biases are calculated and obtained, the detailed calculation for these parameters can be referenced in Cui et al[6,8], and the values of these parameters for sample 1 and sample 2 are shown in TABLE II and TABLE III, respectively.

Digital signature is an encryption mechanism used to verify the authenticity and integrity of message, which has higher complexity and security than traditional handwritten signature. However, the two main challenges of digital signature are security and computing speed. It then imposes a problem - how to quickly verify and sign digital signatures under the premise of ensuring security.

This dataset has been collected in the Patient Recovery Center (a  24-hour,  7-day  nurse  staffed  facility)  with  medical  consultant   from  the  Mobile  Healthcare  Service of Hamad Medical Corporation.

Several pathological phenomena are closely associated with mechanical properties of vessel and interactions of blood flow–wall dynamics. However, conventional techniques cannot easily measure these features. In this study, new deep learning-based simultaneous measurement of flow–wall dynamics (DL-SFW) is proposed by devising integrated neural network for super-resolved localization and vessel wall segmentation and combining with tissue motion measurement technique and flow velocimetry.

The paper is aimed at an investigation of the features of a tubular-linear synchronous quasi-Halbach machine (T-LSM) where the radially-magnetized PMs are substituted by four equal segments with parallel magnetization. This substitution is done in an attempt to improve the machine cost-effectiveness which makes it a viable candidate to equip free-piston engine-based series hybrid propulsion systems. The study is initiated by an analytical formulation of the air gap flux density considering (i) the case of the conventional quasi-Halbach T-LSM and (ii) the case of the segmented pole one.

This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey.

Currently dataset contain 4,8 million tweets with 6 different attribute of each tweets that were sent from 9 March 2020 until 6 May 2020.

The data file contains comma separated values (CSV). It contains the following information (6 Column) for each tweet in the data file:

This MATLAB dataset (.mat) contains the collected real measurement data from a total of 470 access points (APs) deployed in the Linnanmaa campus of the University of Oulu, Finland. The measurements include IDs, dates of data collection, number of users, received traffic data, transmitted traffic data and location names of each AP. Each observation of traffic data and number of users provide the data value at every 10-minute interval between December 18, 2018 and February 12, 2019. Please cite this as: S. P. Sone & Janne Lehtomäki & Zaheer Khan.

Nurse Care Activity Recognition

This dataset contains the trained model that accompanies the publication of the same name:

 Anup Tuladhar*, Serena Schimert*, Deepthi Rajashekar, Helge C. Kniep, Jens Fiehler, Nils D. Forkert, "Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks," in IEEE Access, vol. 8, pp. 94871-94879, 2020, doi:10.1109/ACCESS.2020.2995632. *: Co-first authors

Data (Non-Gaussian Noises and Measurement Information Loss)

Real-Life Diabetogenic (RLD) database is built for evaluating the cross-modal retrieval algorithm in real-life dietary environment, and it has 4500 multimodal pairs in total，where each images can be related to multiple texts and each text can be related to multiple images.

For more details, you can refer to our paper: P. Zhou, C. Bai, J. Xia and S. Chen, "CMRDF: A Real-Time Food Alerting System Based on Multimodal Data," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2020.2996009.

Please cite the above paper if you use this database. 

Reddit is one of the largest social media websites in the world and it contains valuable data about its users and their perspectives organized into virtual communities or subreddits, based on common areas of interest.  Substance use issues are particularly salient within this online community due to the burgeoning substance use (opioid) crisis within the United States among other countries.  A particularly important location for understanding user perceptions of opioids is the Philadelphia, Pennsylvania, USA region, due to the prevalence associated with overdose deaths.  To collect user sen

The aircraft fuel distribution system has two primary functions: storing fuel and distributing fuel to the engines. These functions are provided in refuelling and consumption phases, respectively. During refuelling, the fuel is first loaded in the Central Reservation Tank and then distributed to the Front and Rear Tanks. In the consumption phase, the two engines receive an adequate level of fuel from the appropriate tanks. For instance, the Port Engine (PE) will receive fuel from Front Tank and the Starboard Engine (SE) will receive fuel from Rear Tank.

This is the dataset used in our journal paper, submitted to: IEEE Transactions on Dependable and Secure Computing, Special Issue on Explainable Artificial Intelligence for Cyber Threat Intelligence (XAI-CTI) Applications.

Submitted = 12-Jan-2021 (under review)
ID = TDSCSI-2021-01-0045

Source codes are available at IEEE Code Ocean:

Hatma Suryotrisongko (2020) Botnet DGA [Source Code]. https://doi.org/10.24433/CO.4005597.v2

This is the dataset of mmWave massive MIMO beamspace channels, which is used for the experiment implementation of the paper "Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems". The source code of the experiment implementation is also open-access on the Github repository DeepBP-AE. 

Power transmission system losses can typically represent from five to ten percent of the total generation, a quantity worth millions of dollars per year. The purpose of loss allocation in the context of pool dispatch is to assign to each individual generation and load the responsibility of paying for part of the system transmission losses. Since the system losses are non-separable, non-linear functions of the real power generation and loads, the allocation of transmission loss is a challenging and contentious issue in a fully deregulated system.

A Indústria enfrenta desafios graves e fracassa sem competitividade. Atacando esta problemática, conferiu-se o oferecimento de maior eficiência a processos industriais para promover a produtividade, elevar a qualidade e impulsionar mudanças. A solução desenvolvida incluiu dispositivos com sensores não invasivos, simples de instalar, que contabilizam os itens sendo transportados em linhas de produção.

Dataset description

This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control different brain-computer interface (BCI) applications. The demographics of the dataset can be found in info.txt. Additionally, you will find the results of the original study broken down by subject, the code to build the deep-learning models used in [1] (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM) and a script to load the dataset.

Original article:

This dataset includes 24,201,654 tweets related to the US Presidential Election on November 3, 2020, collected between July 1, 2020, and November 11, 2020. The related party name and sentiment scores of tweets, also the words that affect the score were added to the data set.

There are three datasets, which include the labeled grade by the XRF analyzer and its related visual features and feed grades.

It can be used for training and validation the performance monitoring model  in the froth flotation.

This data set is shared to help the readers to reproduce the results (Figure 5 and Figure 6) of the manuscript entitled ‘’Online System Identification of a Fuel Cell Stack with Guaranteed Stability for Energy Management Applications’’ published by IEEE Transactions on Energy Conversion.

If you use this data, please cite the following paper :

In order to test the performance of the proposed sensor, the measurement error of the original sensor is tested.In addition, error test, stability test and repeatability test are carried out for the optimized sensor.

Experimental results of sensors in different directions

Radar devices can be used to monitor vital signs, such as respiratory and cardiac rates. For this purpose, the phase of an echo signal received from the chest or back of a human is usually used; subsequently, respiratory rate detection (RRD) and cardiac rate detection (CRD) can be achieved by estimating two fundamental frequencies corresponding to the respiratory and cardiac rates, respectively.