scholarly journals Hybridization of FDTD and device behavioral-modeling techniques

2003 ◽  
Vol 45 (1) ◽  
pp. 31-42 ◽  
Author(s):  
S. Grivet-Talocia ◽  
I.S. Stievano ◽  
F.G. Canavero
Keyword(s):  
Behavioral Modeling ◽  
Modeling Techniques

scholarly journals Modeling of Memristive and Memcapacitive Behaviors in Metal-Oxide Junctions

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
M. G. A. Mohamed ◽  
HyungWon Kim ◽  
Tae-Won Cho
Keyword(s):  
Metal Oxide ◽  
Physical Model ◽  
Tunneling Current ◽  
Behavioral Modeling ◽  
Capacitance Change ◽  
Thin Filaments ◽  
Memristive Behavior ◽  
Modeling Techniques ◽  
Voltage Dependent ◽  
Simulation Results

Memristive behavior has been clearly addressed through growth and shrinkage of thin filaments in metal-oxide junctions. Capacitance change has also been observed, raising the possibility of using them as memcapacitors. Therefore, this paper proves that metal-oxide junctions can behave as a memcapacitor element by analyzing its characteristics and modeling its memristive and memcapacitive behaviors. We develop two behavioral modeling techniques: charge-dependent memcapacitor model and voltage-dependent memcapacitor model. A new physical model for metal-oxide junctions is presented based on conducting filaments variations, and its effect on device capacitance and resistance. In this model, we apply the exponential nature of growth and shrinkage of thin filaments and use Simmons’ tunneling equation to calculate the tunneling current. Simulation results show how the variations of practical device parameters can change the device behavior. They clarify the basic conditions for building a memcapacitor device with negligible change in resistance.

Behavioral Modeling for Parallel- and Cascade-Connected dc–dc Converters

2019 ◽  
Vol 28 (04) ◽  
pp. 1950058 ◽  
Author(s):  
Husan Ali ◽  
Xiancheng Zheng ◽  
Haider Zaman ◽  
Huamei Liu ◽  
Xiaohua Wu
Keyword(s):  
Close Agreement ◽  
Energy Systems ◽  
Behavioral Modeling ◽  
Equivalent Model ◽  
Design Stage ◽  
Distributed Energy ◽  
Essential Step ◽  
Power Electronics Converters ◽  
Modeling Techniques ◽  
Model Derivation

Analysis of distributed energy systems (DESs) is more challenging, as multiple energy sources are connected with different loads through power electronics converters. Modeling and simulation become an essential step during the design stage, prior to actual implementation. These DESs comprised numerous converters in various configurations, e.g., parallel and cascade. This paper presents behavioral modeling technique for interconnected converters that can be used to predict dynamics of overall system. First models are developed for two converters in parallel and cascade configuration using direct approach (DA). The model derivation using DA becomes too complex for larger systems. A new transformation-based approach (TBA) is proposed, which, unlike DA, is simple and can easily be extended to model [Formula: see text] interconnected converters. In this method, the measured [Formula: see text]-parameter set is transformed to another domain, equivalent model is computed simply by the addition or multiplication of transformed [Formula: see text]-parameters and then the equivalent model is transformed back to [Formula: see text]-parameter set. The modeling techniques are implemented in Matlab/Simulink. The results from DA and TBA are compared, and their close agreement suggests that the new TBA can be used for the analysis of interconnected systems, comprised of multiple parallel and cascade converters.

scholarly journals Penerapan Konseling Behavioral Teknik Modelling Untuk Mengatasi Kecanduan Game Online Pada Anak Usia 10 Tahun

2018 ◽  
Vol 5 (2) ◽  
pp. 105
Author(s):  
Didik Gunawan
Keyword(s):  
Online Games ◽  
Maladaptive Behavior ◽  
Behavioral Modeling ◽  
Single Subject ◽  
Online Game ◽  
Behavioral Counseling ◽  
Single Subject Research ◽  
Game Addiction ◽  
Modeling Techniques ◽  
Two Stages

Addiction to online games is an excessive behavior to play online games that have an impact on the formation of maladaptive behavior, not in accordance with the norms prevailing in the community. Counseling behavioral modeling techniques is one of the services that are considered appropriate to overcome online game addiction problems. The purpose of this study is to determine whether counseling behavioral modeling techniques can be applied to overcome online game addiction in children aged 10 years. The type of research used by researchers is the type of single subject research, using the A-B research design (A = baseline condition, B = intervention condition). A-B shows two stages of design; A is baseline data (pretest) and B is intervention (posttest). The results showed that behavioral counseling modeling techniques were effective for reducing online game addiction in children aged 10 years.

Research and Application of Machinery Balance Based on Pro/E Behavioral Modeling

2011 ◽  
Vol 127 ◽  
pp. 327-331
Author(s):  
Ying Xing Xie ◽  
Zhi Gang Jin
Keyword(s):  
Mechanical Design ◽  
Dynamic Balance ◽  
Behavior Modeling ◽  
Behavioral Modeling ◽  
Typical Problem ◽  
Research And Practice ◽  
Calculation Process ◽  
Modeling Techniques ◽  
Design Requirements ◽  
New Research

Using the traditional method of calculating the dynamic balance of mechanical design optimization, the efficiency is not high and the calculation process is complex, and it’s also prone to miscalculation. Pro/E behavior modeling allows designers greater control over the size of components to meet design requirements. In this article, the author try to solve a typical problem of balancing mechanical part through the use of Pro/E behavior modeling techniques. A new research and practice of Pro/E module to optimize the design of behavioral modeling is explored and practised.

scholarly journals Disinformation and social bot operations in the run up to the 2017 French presidential election

First Monday ◽  
2017 ◽  
Author(s):  
Emilio Ferrara
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
News Media ◽  
Presidential Election ◽  
Behavioral Modeling ◽  
Political Views ◽  
Modeling Techniques ◽  
Usage Patterns ◽  
Run Up

Recent accounts from researchers, journalists, as well as federal investigators, reached a unanimous conclusion: social media are systematically exploited to manipulate and alter public opinion. Some disinformation campaigns have been coordinated by means of bots, social media accounts controlled by computer scripts that try to disguise themselves as legitimate human users. In this study, we describe one such operation that occurred in the run up to the 2017 French presidential election. We collected a massive Twitter dataset of nearly 17 million posts, posted between 27 April and 7 May 2017 (Election Day). We then set to study the MacronLeaks disinformation campaign: By leveraging a mix of machine learning and cognitive behavioral modeling techniques, we separated humans from bots, and then studied the activities of the two groups independently, as well as their interplay. We provide a characterization of both the bots and the users who engaged with them, and oppose it to those users who didn’t. Prior interests of disinformation adopters pinpoint to the reasons of scarce success of this campaign: the users who engaged with MacronLeaks are mostly foreigners with pre-existing interest in alt-right topics and alternative news media, rather than French users with diverse political views. Concluding, anomalous account usage patterns suggest the possible existence of a black market for reusable political disinformation bots.

Sign in / Sign up

Export Citation Format

Share Document