scholarly journals Multi Grid Chaotic Attractors with Discrete Jumps

2013 ◽  
Vol 64 (2) ◽  
pp. 118-122 ◽  
Author(s):  
Tomáš Gotthans ◽  
Zdeněk Hruboš
Keyword(s):  
Transfer Function ◽  
Electrical Circuit ◽  
Analog To Digital Converters ◽  
Chaotic Attractors ◽  
The Novel ◽  
Analog To Digital ◽  
Circuit Simulator ◽  
Step Functions ◽  
Discrete Step ◽  
Novel Approach

In this paper the discrete step functions are used in order to generate m×n scroll chaotic hypercube attractors. The design and realization of multi-scroll attractors depends on synthesizing the nonlinearity with an electrical circuit. The essence of the novel approach is in designing the transfer function with analog to digital converters connected directly without any microcomputer, instead of using standard comparator or hysteresis methods. Therefore there is no special need for synthesizing the nonlinearity towards m × n scroll chaotic attractors. The approach is verified with PSpice 16.0 circuit simulator and experimentally measured.

scholarly journals Technique to Improve SNR for Sigma Delta Adcs for Audio Signals

2018 ◽  
Vol 7 (3.6) ◽  
pp. 91
Author(s):  
Ramana Murthy Dumpala ◽  
. .
Keyword(s):  
Transfer Function ◽  
Second Order ◽  
Analog To Digital Converters ◽  
Clock Frequency ◽  
Audio Signals ◽  
Sigma Delta ◽  
Feed Forward ◽  
Analog To Digital ◽  
Noise Transfer Function

A RISR architecture for Sigma-delta analog to digital converters with modified noise transfer function to obtain a better performance in terms of SNR is proposed. Cascading of two modified second order modulators are done to achieve 4th order modulator. Behavioral simulations are done to study the performance of feed-forward and the modified cascaded architecture. They are designed to operate at 1.28MHz clock frequency for audio applications (OSR of 32). It is noted that SNR of 115dB is achieved by cascading of two Modified second order RISR architectures which is 8dB more than the normal RISR architecture.  

Exploring normative perceptions and misperceptions of private, environmentally impactful behaviours

2020 ◽  
Author(s):  
Elaine Gallagher ◽  
Bas Verplanken ◽  
Ian Walker
Keyword(s):  
Social Norms ◽  
Behaviour Change ◽  
Social Contexts ◽  
The Novel ◽  
Normative Influence ◽  
Change Mechanism ◽  
Novel Approach ◽  
Classical Studies ◽  
Referent Group

Social norms have been shown to be an effective behaviour change mechanism across diverse behaviours, demonstrated from classical studies to more recent behaviour change research. Much of this research has focused on environmentally impactful actions. Social norms are typically utilised for behaviour change in social contexts, which facilitates the important element of the behaviour being visible to the referent group. This ensures that behaviours can be learned through observation and that deviations from the acceptable behaviour can be easily sanctioned or approved by the referent group. There has been little focus on how effective social norms are in private or non-social contexts, despite a multitude of environmentally impactful behaviours occurring in the home, for example. The current study took the novel approach to explore if private behaviours are important in the context of normative influence, and if the lack of a referent groups results in inaccurate normative perceptions and misguided behaviours. Findings demonstrated variance in normative perceptions of private behaviours, and that these misperceptions may influence behaviour. These behaviours are deemed to be more environmentally harmful, and respondents are less comfortable with these behaviours being visible to others, than non-private behaviours. The research reveals the importance of focusing on private behaviours, which have been largely overlooked in the normative influence literature.

scholarly journals A Novel Approach to EEG Speech Activity Detection with Visual Stimuli and Mobile BCI

2021 ◽  
Vol 11 (2) ◽  
pp. 674
Author(s):  
Marianna Koctúrová ◽  
Jozef Juhár
Keyword(s):  
Visual Stimuli ◽  
Computer Interface ◽  
Single Subject ◽  
Detection Accuracy ◽  
The Novel ◽  
Activity Detection ◽  
Speech Activity ◽  
Novel Approach ◽  
Eeg Data ◽  
Speech Activity Detection

With the ever-progressing development in the field of computational and analytical science the last decade has seen a big improvement in the accuracy of electroencephalography (EEG) technology. Studies try to examine possibilities to use high dimensional EEG data as a source for Brain to Computer Interface. Applications of EEG Brain to computer interface vary from emotion recognition, simple computer/device control, speech recognition up to Intelligent Prosthesis. Our research presented in this paper was focused on the study of the problematic speech activity detection using EEG data. The novel approach used in this research involved the use visual stimuli, such as reading and colour naming, and signals of speech activity detectable by EEG technology. Our proposed solution is based on a shallow Feed-Forward Artificial Neural Network with only 100 hidden neurons. Standard features such as signal energy, standard deviation, RMS, skewness, kurtosis were calculated from the original signal from 16 EEG electrodes. The novel approach in the field of Brain to computer interface applications was utilised to calculated additional set of features from the minimum phase signal. Our experimental results demonstrated F1 score of 86.80% and 83.69% speech detection accuracy based on the analysis of EEG signal from single subject and cross-subject models respectively. The importance of these results lies in the novel utilisation of the mobile device to record the nerve signals which can serve as the stepping stone for the transfer of Brain to computer interface technology from technology from a controlled environment to the real-life conditions.

Compact Modelling of Electrical, Mechanical and Thermal Behaviour for MEMS with SPICE

2008 ◽  
Vol 1083 ◽  
Author(s):  
Andreas Frank ◽  
J.-P. Zoellner ◽  
Y. Sarov ◽  
Tz. Ivanov ◽  
I. Kuhnholz ◽  
...  
Keyword(s):  
Thermal Behaviour ◽  
Fem Simulation ◽  
Electrical Circuit ◽  
System Level ◽  
Equivalent Circuits ◽  
Macro Model ◽  
Circuit Simulator ◽  
Lumped Elements ◽  
Cantilever Array ◽  
Novel Method

ABSTRACTIn this paper we present a novel method of nonlinear macro model of a cantilever for mixed domain simulation only with SPICE. Based on lumped elements of equivalent circuits a model is developed, which realizes a coupled electro-thermal-mechanical simulation including crosstalk effects. The model is verified with measurement and helps to class and solve crosstalk. With SPICE as electrical circuit simulator the cantilever array could be simulate in conjunction with the excitations and analysis electronics more detailed like the system level models and faster like FEM-simulation.

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