Kongzhi yu Juece/Control and Decision

Prediction of Ventilator Breathing Parameters on an Automated Ventilation System using Regression Models

Medical staff face issues when ventilating patients manually using the Bag-Valve-Mask (BVM) for long periods. As for ventilators in hospitals, medical specialists must check on patients frequently and adjust settings manually. This study aims to conduct machine learning (ML) study using data collected from the CHU Sainte-Justine database to provide suitable setting recommendations for patients using linear and Poisson regression. The response variables were the fraction of inspired oxygen (FiO2) setting, positive end-expiratory pressure (PEEP) setting and tidal volume (TV) setting. Linear regr

A STUDY ON IMPACT OF CORPOTATE TAX FRAUD ON ECNOMIC GROWTH AND FACTORS INFLUENSING THE TAX COMPLIANCE.

This paper aims to identify the impact of corporate tax fraud on Economic growth and the factors influencing the tax compliance. A sample of 258 auditors has been taken for the study. Samples were selected as per convenience sampling method. Chi square test and Proportional test has been used to analyses the data. The analysis reveals that corporate tax fraud seriously effecting the economic growth of a country. The analysis also done to find out the top factors effecting the tax compliance.

The Solution of the -Dimensional of the Operator D_{B,C}^k

In this paper,  the operator $D_{B,C}^k$ is the partial differential operators related to the diamond Bessel operator  iterated $k$-times and is defined by $$D_{B,C}^{k}= \left(\frac{1}{C^4}\left(\sum_{i=1}^{p} B_{x_i}\right)^2- \left( \sum_{j=p+1}^{p+q} B_{x_j}\right)^2 \right)^k,$$ 

where $p+q=n, x=(x_{1},\ldots , x_{n})\in \mathbb{R}^{+}_n, B_{x_{i}}=\frac{\partial ^{2}}{\partial x_{i}^{2}}+ \frac{2v_{i}In this paper, the operator is the partial differential operators related to the diamond Bessel operator iterated -times and is defined by where , , is a

Research on Machine Learning-based Network Security Situational Awareness Algorithm for UAV GNSS Signal Interference

With the widespread application of Unmanned Aerial Vehicle (UAV) in various fields, the problem of interference with their Global Navigation Satellite System (GNSS) signals is becoming increasingly serious, which puts forward higher requirements for network security situational awareness. This paper proposes an Integration Algorithm of Support Vector Machine and K-Nearest Neighbor (IASK) for network security situational awareness of UAV GNSS signal interference. This algorithm combines the advantages of Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) algorithms in binary classificati

NUMERICAL EVALUATION OF TORQUE FOR 3 TANK RATIOS IN A GRAVITATIONAL VORTEX TURBINE

The present study consists of numerically studying the torque generated by a gravitational vortex turbine (GVT) with 3 relationships between the diameter of the tank and the diameter of the outlet hole and with an H-Darrieus turbine as rotor. The relationship that presented the highest torque generated was 18% at an angular speed of 25rpm. The maximum torque generated was 0.18 Nm where it presented a great difference between the other ratios 0.12 Nm and 0.08 Nm for the ratio of 16% and 14% respectively. This is due to the vortex of air formed in the tank, where it completely floods the rotor b