7,601 Works

Twitter Sentiment Analysis Data

Rabindra Lamsal
Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model...

THz Wireless Channel Measurements in between 240GHz and 300GHz

Kürşat Tekbıyık, Ali Rıza Ekti, Güneş Karabulut Kurt & Ali Görçin
The experimental measurement setup is performed in an anechoic chamber to secure the LOS transmission at the Millimeter Wave and Terahertz Technologies Research Laboratories (MILTAL), Scientific and Technological Research Council of Turkey (TUBİTAK), Kocaeli. The dimensions of anechoic chamber are 7m × 4m × 3m. The dataset includes channel impulse response in between 240GHz and 300GHz for the transmitter-receiver distance of 20cm, 30cm, 40cm, 60cm, and 80cm.

Border Gateway Protocol routing records from Reseaux IP Europeens (RIPE) and BCNET

Zhida Li, Ana Laura Gonzalez Rios & Ljiljana Trajkovic
Three well-known Boarder Gateway Anomalies (BGP) anomalies Slammer, Nimda, and Code Red I occurred in January 2003, September 2001, and July 2001, respectively. The Reseaux IP Europeens (RIPE) BGP update messages are publicly available from the Network Coordination Centre (NCC)and contain Slammer, Nimda, Code Red I, and regular data: https://www.ripe.net/analyse/. Regular data are also collected from BCNET: http://www.bc.net/.Slammer infected Microsoft SQL servers through a small piece of code that generated IP addresses at random. The...

Combining machine learning and metabolomics to identify weight gain biomarkers

Flavia L Dias-Audibert, Luiz C Navarro, Diogo N Oliveira, Jeany Delafiori, Carlos F O R Melo, Tatiane M Guerreiro, Mohamed Z Dabaja, Flavia T Rosa, Diego L Petenuci, Maria A E Watanabe, Licio A Velloso, Anderson R Rocha & Rodrigo R Catharino
This dataset was used in the article "Combining machine learning and metabolomics to identify weight gain biomarkers, 2019, Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Mohamed Ziad Dabaja, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino" submitted to Frontiers Bioengineering and Biotechnology with review finalized on 22 Nov 2019.Article abstract:Weight gain...

Wearable RGB Camera Images of Human Locomotion Environments

Brock Laschowski, William McNally, Alexander Wong & John McPhee
This RGB image dataset was collected using a wearable camera system for image classification of different walking environments conducive to controlling lower-limb biomechatronic systems (e.g., prostheses and exoskeletons). Approximately 34,254 RGB images were collected and individually labelled.The authors request that prospective users reference the following publication:Laschowski B, McNally W, McPhee J, and Wong A. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics,...

Wearable RGB Camera Images of Human Locomotion Environments

Brock Laschowski, William McNally, Alexander Wong & John McPhee
This RGB image dataset was collected using a wearable camera system and intended for image classification of different walking environment conducive to controlling lower-limb biomechatronic systems (prostheses and exoskeletons). Approximately 34,254 RGB images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, McPhee J, and Wong A. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference...

Wearable RGB Camera Images of Human Locomotion Environments

Brock Laschowski, William McNally, Alexander Wong & John McPhee
This RGB image dataset was collected using a wearable camera system and intended for image classification of different walking environment conducive to controlling lower-limb biomechatronic systems (prostheses and exoskeletons). Approximately 34,254 RGB images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, McPhee J, and Wong A. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference...

New concept high quality high performance hearing aid

Oksang Jin
New concept high quality high performance hearing aidA typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.A joint project was...

Dataset of Surface Electromyographic (sEMG) signals and Finger Kinematics

Sanjay Kumar Dwivedi, Jimson Ngeo & Tomohiro Shibata
Accurate proportional myo-electric control of the hand is important in replicating dexterous manipulation in robot prostheses. Many studies in this field have focused on recording discrete hand gestures, while few have focused on the proportional and multiple-DOF control of the human hand using EMG signals. To aid researchers on advanced myoelectric hand control and estimation, we present this data from our work "Extraction of nonlinear muscle synergies for proportional and simultaneous estimation of finger kinematics"....

Raw data used in the manuscript \"The use of mixed collagen-Matrigel matrices of increasing complexity recapitulates the biphasic role of cell adhesion in cancer cell migration: ECM sensing, remodeling and forces at the leading edge of cancer invasion\"

María Anguiano, Xabier Morales, Carlos Castilla, Alejandro Rodríguez Pena, Cristina Ederra, Martín Martínez, Mikel Ariz, Maider Esparza, Hippolyte Amaveda, Mario Mora, Nieves Movilla, José Manuel García Aznar, Iván Cortés-Domínguez & Carlos Ortiz-de-Solorzano
The migration of cancer cells is highly regulated by the biomechanical properties of their local microenvironment. Using 3D scaffolds of simple composition, several aspects of cancer cell mechanosensing (signal transduction, EMC remodeling, traction forces) have been separately analyzed in the context of cell migration. However, a combined study of these factors in 3D scaffolds that more closely resemble the complex microenvironment of the cancer ECM is still missing. Here, we present a comprehensive, quantitative analysis...

Subjective Quality Labelled Time-Scale Modification of Audio Dataset

Timothy Roberts
This dataset contains source and processed audio files designed primarily for use with Time-Scale Modification (TSM) research. 88 source files were processed at 10 different time-scale ratios by 6 different TSM algorithms resulting in training set of 5280 files. Each file was then subjectively evaluated by a minimum of 7 participants providing opinion scores. Mean Opinion Scores (MeanOS) and Median Opinion Scores (MedianOS) are provided for each file. An additional 20 files were processed at...

WIKIBIOCN

Juan Cao
A Chinese dataset for table-to-text generation named WIKIBIOCN which inculeds 33,244 biography sentences with related tables from Chinese Wikipedia (July 2018).The dataset is divided into training set (30,000), verification set (1000) and test set (2,244).

Light-field microscopy data

Pingfan Song
This dataset contains light-field microscopy images and converted sub-aperture images.The folder with the name "Light-fieldMicroscopeData" contains raw light-field data. The file LFM_Calibrated_frame0-9.tif contains 9 frames of raw light-field microscopy images which has been calibrated. Each frame corresponds to a specific depth. The 9 frames cover a depth range from 0 um to 32 um with step size 4 um. Files with name LFM_Calibrated_frame?.png are the png version for each frame.The folder with the name "SubapertureImgsArray"...

Light-field microscopy data

Pingfan Song
This dataset contains light-field microscopy images and converted sub-aperture images.The folder with the name "Light-fieldMicroscopeData" contains raw light-field data. The file LFM_Calibrated_frame0-9.tif contains 9 frames of raw light-field microscopy images which has been calibrated. Each frame corresponds to a specific depth. The 9 frames cover a depth range from 0 um to 32 um with step size 4 um. Files with name LFM_Calibrated_frame?.png are the png version for each frame.The folder with the name "SubapertureImgsArray"...

Wearable Ambulatory Electrocardiogram (ECG) dataset

Rahul Kher
This dataset provides the ECG signals recorded in ambulatory (moving) conditions of subjects. The ambulatory ECG (A-ECG) data acquired with two different recorders viz. Biopac MP36 Acquisition system and a self-developed wearable ECG recorder are made available. Total 10 subjects' (with avg. age of 27 years, 1 female and 9 males) ECG signals with four body movements- Left amp; Right arm up/down, Sitting down amp; standing up and Waist twist are uploaded.

Parameters of the Scanning Magnets Model

Zhongqi Zhang
A new proton therapy facility isunder constructionin Huazhong University of Science and Technology. Scanning magnets play an important role in this device. They can form an arbitrary two-dimensional radiation shape conformal with the tumor. In the pencil beam scanning system, the magnetic fields are excited by time-varying currents and the maximum repetition is up to 50 Hz. Therefore, the temperature rises of two magnets caused by eddy currents should be considered. In this paper, the...

Feature Investigation of a Segmented PM Quasi- Halbach Tubular-Linear Synchronous Machine

Ahmed Masmoudi
The paper is aimed at an investigation of thefeatures of a tubular-linear synchronous quasi-Halbach machine(T-LSM) where the radially-magnetized PMs are substitutedby four equal segments with parallel magnetization. Such asubstitution is done in an attempt to improve the machine costeffectivenesswhich makes it a viable candidate to equip freepistonengine-based series hybrid propulsion systems. The studyis initiated an analytical formulation of the flux density spatialrepartition considering (i) the case of the conventional quasi-Halbach T-LSM and (ii) the case...

ECG Delineation using Multiscale Parameter Estimation

Nicolai Spicher & Markus Kukuk
For more information please take a look at the corresponding paper (DOI: 10.1109/JBHI.2019.2963786)

Performance Comparison Results of Blockchain tests

Arijit Sengupta & Hemang Subramanian
This dataset accompanies the paper titled CHASM: A Blockchain Software design pattern. It contains results of the performance tests on two different architectures, and the accompanying analytics source code that presents their comparison.The .csv files are the result files. The .dta files are the stata equivalent, and the .do files are the Stata analysis files which analyses this dataset and outputs the .jpg images.

3D massive MIMO channel model for high-speed railway wireless communication

Chengjian Liao
In the fifth generation (5G) wireless communication, high-speed railway(HSR) communication is one of the most challenging scenarios.By adopting massive multi-input multi-output(mMIMO)technology in HSR communication, the design of the underlying communication system becomes more challenging.Some new channel characteristics must be studied, such as non-stationarity in space, time and frequency domains. In this paper, two models are established for the two states of HSR at rest or in motion. When the trainis stationary, a three-dimensional(3D)stationary channel model...

Plane wave phantom data

Plane wave phantom data

Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels (Method and Data)

Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas & Weisi Guo
The data set are images taken from the Particle Image Velocimetry (PIV) method and the Planar Laser-Induced Fluorescence (PLIF) method. These methods sets out the macro-scale experimental techniques that can enable fluid dynamic knowledge to inform molecular communication performance and design. Fluid dynamic experiments can capture latent features that allow the receiver to detect coherent signal structures and infer transmit parameters for optimal decoding.

IHC Standard Movie

Masaki Kawamura
Although many researchers have been studying watermarking techniques, and many robust schemes have been proposed, there is still a need for explicit criteria that can be used for evaluating watermarking schemes. Even though some schemes are quite robust against existing attacks, it is difficult to fairly compare their levels of robustness. To change this situation, the IHC Committee was working to establish standard evaluation criteria by holding annual watermark competitions. These competitions enhanced the criteria...

ExoNet Database: Wearable Camera Images of Human Locomotion Environments

Brock Laschowski, William McNally, Alexander Wong & John McPhee
Advances in artificial intelligence and robotic vision have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms. To address these shortcomings, we developed ExoNet Database, the first open-source database of high-resolution wearable RGB camera images of human locomotion environments. Using a lightweight wearable smartphone camera system, over 5.4 million images of outdoor and indoor real-world...

CUPSNBOTTLES

Christian Limberg
CUPSNBOTTLES is an object data set, recorded by a mobile service robot. There are 10 object classes, each with a varying number of samples. Additionally, there is a clutter class, containing samples where the object detector failed. The data set consists of the actual object images, an HDF file with extracted visual features (via a VGG19 deep convolutional net pretrained for the imagenet competition) and a CSV file containing other information about recorded objects like...

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  • 2020
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