3,002 Works

Effect of acceptance and commitment therapy on rehabilitation patients with spinal cord injury

Huang Gang, Lin Bin-Lai, Zhang Zhi-Liang, Fan Hong, Qiu Fu-Hua, Zhang Wen-Ya, Lu Min & Li Jiang-Bo
Figure A and B:A:▲:Comparison of total PTSD scores of the treatment group within before and after 1, 2 and 3 months treatment(P<0.01).▼:Comparison of total PTSD scores between treatment group and control group(P<0.01).■:Look at the control group, there was no significant difference between before treatment and 1 month after treatment(P>0.05), but there was significant difference in the 2 months after treatment(P<0.05), and the difference was more significant in the 3 months after treatment(P<0.01). B: ▲:Comparison of...

Hydrophobicity Classes Photos

Christos-Christodoulos Kokalis, Thanos Tasakos, Vassiliki Kontargyri, Giorgos Siolas & Ioannis Gonos
This paper discusses the classification of composite insulators in hydrophobicity classes, according to the spray method of IEC Standard 62073, using convolutional neural networks. By applying the spray method, about 4500 photos were collected and are available online, from all hydrophobicity classes using distilled water-ethyl alcohol as spraying sollution. Convolutional neural networks based on Keras and Tensorflow libraries of Python programming language were trained, validated and tested in order to determine the hydrophobicity class of...

Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal & Ghulam Muhammed
The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date...

Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal & Ghulam Muhammed
The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date...

Calculated transfer matrix of the distribution network for PCE tracing

Ning Tong, Zhengtian Li & Xiangning Lin
Transfer matrix for PCE tracing

Event-Related Potentials (P300, EEG) - BCI dataset

Berdakh Abibullaev & Amin Zollanvari
The provided EEG data were acquired from sixteen healthy young adults (age range 22 - 30 years) with no history of neurological, physical, or psychiatric illness. All the participants were naive BCI users who had not participated in any related experiments before. Informed consents were received from all participants.The study has been approved by the Institutional Research Ethics Committee of Nazarbayev University.Scalp EEG was recorded using a 16-channel, active Ag/AgCl electrodes (g.USBamp, g.LADYbird, Guger Technologies...

Website Fingerprinting - Full Last Level Cache Contention

Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltzer, Prateek Mittal, Yossi Oren & Yuval Yarom
Website fingerprinting attacks, which use statistical analysis on network traffic to compromise user privacy, have been shown to be effective even if the traffic is sent over anonymity-preserving networks such as Tor. The classical attack model used to evaluate website fingerprinting attacks assumes an on-path adversary, who can observe all traffic traveling between the user's computer and the secure network. In this work we investigate these attacks under a different attack model, in which the...

ARDIS: A Swedish Historical Handwritten Digit Dataset

Abbas Cheddad
This is a new image-based handwritten historical digit dataset named ARDIS (Arkiv Digital Sweden). The images in ARDIS dataset are extracted from 15.000 Swedish church records which were written by different priests with various handwriting styles in the nineteenth and twentieth centuries. The constructed dataset consists of three single digit datasets and one digit strings dataset. The digit strings dataset includes 10.000 samples in Red-Green-Blue (RGB) color space, whereas, the other datasets contain 7.600 single...

Non-Linear Phase Noise Mitigation over Systems using Constellation Shaping: Dataset

Dario Pilori, Antonino Nespola, Fabrizio Forghieri & Gabriella Bosco
This dataset contains the full set of experimental waveforms that were used to produce the article "Non-Linear Phase Noise Mitigation over Systems using Constellation Shaping", published in the Journal of Lightwave Technology with DOI: 10.1109/JLT.2019.2917308.

Ruling Power Tautology: Error in Big Bang Theory

Aamir Abbas
-If Ruling Power were able and willing to create Sun/Mars, he would do so. If Ruling Power were unable to create Sun/Mars, he would be incapable; if he were unwilling to create Sun/Mars, he would be malevolent. Ruling Power creates Sun/Mars. If Ruling Power exists, he is neither incapable nor malevolent. Therefore, Ruling Power exists. The World of PC can’t be created itself just from one factor light. I (programmer) die & consequently light (big...

Operating Cost Reduction of DC Microgrids Under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

Yun Yang
These data are collected from a 12-bus and a 32-bus DC microgrid. The total operating cost of these two microgrids are optimized by an adaptive Differential Evolution algorithm using real-time pricing.

SNU-B36-50: an inter-floor noise dataset

Hwiyong Choi, Haesang Yang, Seungjun Lee & Woojae Seong
SNU-B36-50E is an inter-floor noise dataset collected in building 36 at Seoul National University.It is designed for evaluation of an inter-floor noise type/position classifier.This dataset is a part of the conference paper:https://ieeexplore.ieee.org/abstract/document/8521392 The inter-floor noises included in the dataset can be classified into 5 noise types and 19 positions.The noise types are- A medicine ball falling on the floor from a height of 1.2 m (MB)- A Hammer dropped from 1.2m above the floor (HD)-...

Supplementary Material for \"Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications\"

Simone Aiassa, Sandro Carrara & Danilo Demarchi
The Voltammetry-Based Sensing (VBS) methods are extremely interesting due to high specificity in several biochemical applications. Several considerations can be applied to use this method to measure different analytes, and implement efficient and optimized electronic measurement platform for point-of-care diagnostic, in wearable, portable, or IoT systems. The dataset contains the data presented in [1], which proves on real experimental data a method to define the optimized setup to develop efficient and electronic bio-sensing platforms. Namely,...

Hydrophobicity Classes Photos

Christos-Christodoulos Kokalis, Thanos Tasakos, Vassiliki Kontargyri, Giorgos Siolas & Ioannis Gonos

CombinedHouseholdModel

Zuyi Li & Mengqi Lu
The zipped file includes a description of the combined household model example and a Simscape/MATLAB file for the model.

Mars Crater Segmentation Dataset

Danielle DeLatte, Sarah Crites, Nicholas Guttenberg, Elizabeth Tasker & Takehisa Yairi
This dataset is a companion to a paper, "Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars" by DeLatte et al. 2019. DOI link: http://dx.doi.org/10.1109/JSTARS.2019.2918302 These are the segmentation target files for the three targets described in the paper: solid filled, thicker edge, and thinner edge.

Demands for bus ridesharing in Shanghai, China

Kaijun Liu
This is the dataset used in the experiment of paper "Bus Pooling: A Large-Scale Bus Ridesharing Service". The dataset contains 60,822,634 trajectory data from 11,922 Shanghai taxis from one day (Apr 1, 2018). The 100 groups of coordinate sets containing three coordinates as experimental samples are used to compare the effectiveness and efficiency of location-allocation algorithms.

Analysis of Adaptive Double-spend Attack

Gholamreza Ramezan
Analysis Data - Sample

wkang_01_IEEE AWPL_Design and measurement of a high gain V-fed dipole antenna

Woong Kang
These files contain all the simulated and measured dataset for the paper entitled "Design and measurement of a high gain V-fed dipole antenna," which was submitted to IEEE Antennas and Wireless Propagation Letters in 2019.All the simulation data were obtained using FEKO, and those were imported and visualized using MATLAB.The scattering parameters of the antenna were measured using Keysight E8362B vector network analyzer, while the gain patterns were measured in the anechoic chamber.

Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

Anselmo Ferreira, Siovani Filipussi, Ramon Pires, Geise Santos, Sandra Avila, Jorge Lambert, Jiwu Huang & Anderson Rocha
Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper,...

Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

Anselmo Ferreira, Siovani Filipussi, Ramon Pires, Geise Santos, Sandra Avila, Jorge Lambert, Jiwu Huang & Anderson Rocha
Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper,...

RECOVERY-FA19

Li Ding, Mohammad H. Bawany, Ajay E. Kuriyan, Rajeev S. Ramchandran, Charles C. Wykoff & Gaurav Sharma
RECOVERY-FA19 dataset is established for development and evaulation of retinal vessel detection algorithms in fluorescein angiography (FA). RECOVERY-FA19 provides ultra-widefield FA images acquired using Optos California P200DTx camera and labeled binary vessel maps.

Short-term load forecasting data with hierarchical advanced metering infrastructure and weather features

Jie Zhang & Cong Feng
Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.

Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

Anselmo Ferreira, Siovani Filipussi, Ramon Pires, Geise Santos, Sandra Avila, Jorge Lambert, Jiwu Huang & Anderson Rocha
Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper,...

X-ray microscopy of articular cartilage: non-stained vs 16hr-PTA-stained

Ying Zhu, Dragana Ponjevic, John Matyas & Steven Boyd
X-ray microscopy of a same bovine articular cartilage is enhanced by 16 hours of phosphotungstic acid (PTA) staining, showing cartilage collagen network, chondrocytes and tidemark, while the 0 hr non-stained x-ray microscopy could not resolve these features within articular cartilage.

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  • 2019
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