Titlebook: Innovations in Electrical and Electronic Engineering; Proceedings of ICEEE Saad Mekhilef,Rabindra Nath Shaw,Pierluigi Siano Conference proc

一条卷发

Control System Design for DC-Link Voltage Control of Quasi-Z Source Inverter Using Bode Diagram,te operating point. The presented procedure of control system design is further verified with the simulation studies of voltage-fed quasi-Z source inverter for set-point tracking and disturbance rejection using MATLAB Simulink environment.

BUOY

Neural Network: A Way to Know Consumer Satisfaction During Voice Call,rest cell phone tower, the proposed model will be able to predict whether or not a voice call was satisfactory. The objective of this paper is to measure consumer satisfaction by applying an artificial neural network which is widely referred to for automatic feature extraction, classification and prediction.

Palpitation

Automatic Access Application of ICG and ECG Signals,s and time intervals for cardiovascular disease. This application is automatic access to the real-time application used to optimize the quality of care and speed of diagnosis, whatever their geographical location. It is performed according to two criteria: information storage and data manipulation.

saturated-fat

: An Approach Towards Software Defect Prediction Using Ontology Driven Intelligence, and metrics are passed into a deep learning model to classify and recommend software defect categories. The proposed model significantly improves accuracy of classification compared to notable software defect classification models.

寒冷

overrule

Small Signal Stability Improvement of Phillips Heffron Model with Fuzzy Based Control and Its Compaed the results using Simulink model and carried out the simulation. The comparison of PSS and FLC is made in terms of dynamic responses of speed deviation and swing curves of the said model. The simulation results demonstrate the potency of the FLC in improving the small signal stability of the system compared to PSS.

放气

Graves’-disease

OntoSpammer: A Two-Source Ontology-Based Spam Detection Using Bagging,rated the Dual Ontology model, i.e., domain ontology and ontology as a regular expression, to implement this model. The proposed OntoSpammer Model records accuracy and precision of 94.53% and 96.12%, respectively, and is compared and examined with benchmark and baseline approaches and is concluded to be one step up in terms of performance.

无脊椎

使显得不重要