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This file is from the software of PSS/E developed by Siemens PTI, desribing the load flow data of one 1648 bus system.

Wearable Inertial Measurement Units (IMU) measuring acceleration, earth magnetic field and gyroscopic measurements can be considered for capturing human skeletal postures in real time. This dataset contains IMU readings (accelerometer, magnetometer and gyroscope) for common shoulder exercises: extension- flexion and abduction-adduction and simultaneously measures VICON readings and Kinect readings.

Objective: During laparoscopic sacrocolpopexy vaginal vault prolapse is repaired by restoring the anatomical state of
the vagina with a surgical mesh. A vaginal manipulator is placed inside the vagina to provide proper exposure to the surgeon for
fixation of the mesh on the vaginal surface and vault by laparoscopy. Vaginal vault manipulation is done manually by an assistant
and long operation times lead to fatigue and inconsistent application of tensioning forces. This work describes a novel force sensor

This file is the low-speed wind tunnel flutter test data of a certain aeroelastic model using in our manuscript titled "Classification of flutter signals based on convolutional neural network and short-time Fourier transform", which is provide from the China Flight Test Establishment.

The dataset contains the simulation results on two stochastic games -- box pushing and distributed sensor network (DSN). The setting of parameters is given in the manuscript named "A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents".  

A VOR receiver based on Software-Defined Radio is presented. Experiments showed that the system indicated the radials of the VOR station of São José dos Campos with an average error rate of less than 1% and a standard deviation of less than 2.14% in relation to those calculated cartographically. The results suggest that low volume and weight SDR-based VOR receivers can be developed with processing on microcontrollers or FPGAs to equip drones that need to operate in aerodrome environments.

The Iris flower data set or Fisher's Iris data set is a multivariate data set .The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish the species from each other.

The data format is described as follows:

Event: {‘acc’: array([[x_axis], [y_axis], [z_axis], ‘gyr’,array([x_axis], [y_axis], [z_axis], ‘label’: No ]

No =1 means acceleration.

No =2 means normal driving.

No =3 means collision.

No =4 means left turn.

No =5 means right turn.

The dataset was analyzed and disclosed in the paper "Vehicle Driving Behavior Recognition Based on Multi-View Convolutional Neural Network (MV-CNN) with Joint Data Augmentation" for the first time.

With the advent of huge data availability and cheap processing power to derive insights from data ,applications of Big Data and Machine Learning are gaining popularity in every industry. Now, Predicting about future is no more an alternate but a necessity to increase efficiency with accurate output. Forecasting for a shorter duration (Nowcasting) fits perfectly in this space to estimate the final production for better planning and control.

The m-files QFEI15a15a2Tc49Th3999992Ns19.m, 

We collected real crack image data to test and analyze the image-based crack detection results. We used 18 images with 1920×1080 resolution sequentially numbered from 1 to 18. And we performed labeling operation to classify the crack image into crack and background regions. online for free use. For the selection of a crack region, we applied a simple rule of extracting a crack edge and selecting the segment matching the true value. The inner region of the selected crack edge (i.e.

BMI Involvement when a person walks on the different surfaces of a building while he/she wants to get out of it in a specific survival time using graph theory to simulate the ways of a building.

The fifth-generation cellular networks (5G)has been proposed as a solution for the accelerating growth in data traffic. As part of 5G, millimetre-wave (mmWave) is suggested as one of the potential spectrum candidates due to the vastly available bandwidth. Accordingly, both indoor and outdoor propagation measurements on mmWave have been widely conducted over the recent years. These field measurements were heavily dependent on utilizing expensive channel-sounders and tools.

With the popularity of smartphones and widespread use of high-speed Internet, social media has become a vital part of people’s daily life. Currently, text messages are used in many applications, such as mobile chatting, mobile banking, and mobile commerce. However, when we send a text message via short message service (SMS) or social media, the information contained in the text message transmits as a plain text, which exposes it to attacks.

Photovoltaic (PV) power generation forecasting is an important topic in field of power system, energy conversion and smart grid construction. The PV power generation has the properties of randomness and volatility is due to the variability of solar irradiance, temperature and other meteorological factors. In order to reduce the volatility, accurate PV power generation forecasting techniques are demanded.

This repository contains job workload data for the paper titled 'eBlocBroker: A Blockchain Based Autonomous Computational Resource Broker'.  Dataset includes job workload data for the tests (1-5)  and the output data which are described in Table 1. Logs of submitted jobs, their block transaction hashes and Slurm job submission information which are output by the Driver program are provided. 

This is a model of artificial intelligence architecture developed using the 

technique of targeting and assembling various components (as needed) together 

to get artificial intelligence with characteristics similar to human intelligence. 

This model represents the general form, the strategy, and the mechanism of 

manufacturing an artificial intelligence device and the fact that based on what 

structure it can turn into artificial intelligence. One of the important features of 

t

This dataset is for the paper titled: Segmentation of Cervical Cell Images based on Generative Adversarial Networks. The dataset is used to train and test the Cell-GAN, a generative adversarial network. After training, the Cell-GAN is able to generate a complete single-cell image which has the similar contour to the cell to be segmented.

This data set is the data of the downlink signals of the high-orbit maritime communication satellite.

Orientation tracking of a moving object has a wide
variety of applications, including but not limited to military,
surgical aid, navigation systems, mobile robots, gaming, virtual
reality, and gesture recognition. In this article, a novel algorithm
is presented to automatically track and quantify change of
direction (COD) incident angles or heading angles (i.e. turning
angles) of a moving athlete using the inertial sensor signals from
a microtechnology unit (an inertia measurement unit (IMU))
commonly used in elite sport. The algorithm is also capable

Accessibility and Activity-Centered Design for ICT Users: ACCESIBILITIC Ontology

ABSTRACT