Development and optimization of microwave guide polarizers using equivalent network method

2021 ◽  
pp. 1-24
Author(s):  
Stepan Piltyay ◽  
Andrew Bulashenko ◽  
Vadym Shuliak
Keyword(s):  
Equivalent Network ◽  
Network Method ◽  
Equivalent Network Method

Thermal equivalent network method for calculating stator temperature of a shielding induction motor

2020 ◽  
Vol 147 ◽  
pp. 106149 ◽  
Author(s):  
Dongmei Wang ◽  
Yanping Liang ◽  
Cangxue Li ◽  
Peipei Yang ◽  
Chunlei Zhou ◽  
...  
Keyword(s):  
Induction Motor ◽  
Equivalent Network ◽  
Network Method ◽  
Equivalent Network Method

In-Plane Field Propagation in EAP Transducers Based on the Equivalent Network Method

2012 ◽  
Author(s):  
Christian Graf ◽  
Jürgen Maas
Keyword(s):  
Smart Materials ◽  
Voltage Drop ◽  
Mechanical Strain ◽  
Electrical Energy ◽  
Equivalent Network ◽  
New Class ◽  
Plane Field ◽  
Proposed Model ◽  
Network Method ◽  
Equivalent Network Method

Dielectric Electroactive Polymers belong to a new class of smart materials, whose functional principle is based on electrostatic forces. They can either be used as actuators to provide considerable stretch ratios or as generators to convert mechanical strain energy into electrical energy by use of an initial amount of energy. Since the polymer material and also the covering compliant electrodes show non-ideal electrical properties, like finite resistivity and conductivity respectively, design rules have to be derived, in order to optimize the devices. The electrode conductivity in connection with the polymer resistivity causes a voltage drop along the electrode surface, resulting in a reduced actuation strain or energy conversion. To minimize its parasitic effects, the influence of this effect is studied by the in-plane field propagation based on a model obtained with the equivalent network method. It is shown that the proposed model provides accurate results, which can be used to study the effect of contacting electrodes, especially in case of point contacts.

NETWORK METHOD OF EVOLUTION SYNTHESIS OF BEHAVIOR TESTS

2017 ◽  
Vol 25 (101) ◽  
pp. 452-457
Author(s):  
Alexander N., Martynyuk ◽  
◽  
Dmitry Oleksandrovich, Martynyuk ◽  
Anna S., Sugak
Keyword(s):  
Network Method

A FIRST APPROACH TO MODELLING A STEAM GENERATOR BASED ON HEAT EXCHANGERS NETWORK METHOD

2019 ◽  
Author(s):  
Augusto Delavald Marques ◽  
Caroline Mével ◽  
Paulo Smith Schneider ◽  
Jéssica Duarte ◽  
Guilherme Barth Rossi
Keyword(s):  
Steam Generator ◽  
Heat Exchangers ◽  
Network Method

A Resamping Approach for Customer Gender Prediction Based on E-Commerce Data

2017 ◽  
Vol 3 (1) ◽  
pp. 76 ◽  
Author(s):  
Duong Tran Duc ◽  
Pham Bao Son ◽  
Tan Hanh ◽  
Le Truong Thien
Keyword(s):  
Data Mining ◽  
Bayesian Network ◽  
Web Applications ◽  
Service Providers ◽  
Main Idea ◽  
Classification Methods ◽  
Cost Sensitive Learning ◽  
Network Method ◽  
Demographic Attributes ◽  
Privacy Issues

Demographic attributes of customers such as gender, age, etc. provide the important information for e-commerce service providers in marketing, personalization of web applications. However, the online customers often do not provide this kind of information due to the privacy issues and other reasons. In this paper, we proposed a method for predicting the gender of customers based on their catalog viewing data on e-commerce systems, such as the date and time of access, the products viewed, etc. The main idea is that we extract the features from catalog viewing information and employ the classification methods to predict the gender of the viewers. The experiments were conducted on the datasets provided by the PAKDD’15 Data Mining Competition and obtained the promising results with a simple feature design, especially with the Bayesian Network method along with other supporting techniques such as resampling, cost-sensitive learning, boosting etc.

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