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.
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.
Here we intend to review the current state of the art of interactive data exploration techniques,
and to discover the maturity of the existing solutions. We look for solutions that satisfy three requirements:
access to raw data files, stored in a distributed environment, and with a reasonably low latency.
Method This work follows the well-defined guidelines for Systematic Mapping Studies, which is well-
suited for gathering and classifying available studies.
The experimental dataset involves the interval values for the bed slope (m/m) measured with a theodolite, the river flow rate (m^3/s), and the average surface velocity (m/s) from the Ter River (Spain).
This repository contains a data base of Cell Signal Quality samples obtained from 4 COTS cellphones. Data shows the dynamics of the cellular signal, and how these can be affected by the presence of human body nearby.
The frequency domain measurement of the scattering parameter, S21, of the wireless channel was carried out using the ZVB14 Vector Network Analyzer (VNA) from Rhode and Schwartz. The measurement system consists of the VNA, low loss RF cables, and omnidirectional antennas at the transmitter and receiver ends. The transmitter and receiver heights were fixed at 1.5 m. A program script was written for the VNA to measure 10 consecutive sweeps: each sweep contains 601 frequency sample points with spacing of 0.167 MHz to cover a 100 MHz band centered at 2.4 GHz.
This is the maintenance service dataset collected in a smart water dispenser company in the year of 2017.
The electronic system has been design to know the position human body. Of this way the system use a three axis accelerometer to detect five common positions (i) ventral decubitus, (ii) right lateral decubitus, (iii) left lateral decubitus, (iv) supine decubitus and (v) seated. The sensor data was acquire with ten diferrents persons, their each positions was how they felt confortable. The accelerometer acquire data from 3 axis possible (X,Y,Z)
These datasets include the results from the comparison of different traffic-free path planning strategies presented in the work entitled "A primitive comparison for traffic-free path planning", Antonio Artuñedo, Jorge Godoy, Jorge Villagra. https://doi.org/10.1109/ACCESS.2018.2839884
Understanding software is an inherent requirement for many maintenance and evolution tasks. Without a thorough understanding of the code, developers would not be able to fix bugs or add new features timely. Measuring code understandability might be useful to guide developers in writing better code, and could also help in estimating the effort required to modify code components. Unfortunately, there are no metrics designed to assess the understandability of code snippets.
