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EEG based cognitive workload classification during NASA MATB-II multitasking

International Journal of Cognitive Research in Science, engineering and Education 2015年第1期3卷 35-42页

作者： Chandra, Sushil Verma, Kundan Lal Sharma, Greeshma Mittal, Alok Jha, Devendra Bio Medical Engineering Department Institute of Nuclear Medicine and Allied Sciences DRDO Delhi India Department of Electronics DDU Gorakhpur University Gorakhpur Uttar Pradesh India Instrumentaion and Control Engineering Department Netaji Subhas Institute of Technology Delhi India Scientific Analysis Group DRDO Delhi India

The objective of this experiment was to determine the best possible input EEG feature for classification of the workload while designing load balancing logic for an automated operator. The input features compared in this study consisted of spectral features of Electroencephalography, objective scoring and subjective scoring. Method utilizes to identify best EEG feature as an input in Neural Network Classifiers for workload classification, to identify channels which could provide classification with the highest accuracy and for identification of EEG feature which could give discrimination among workload level without adding any classifiers. The result had shown Engagement Index is the best feature for neural network classification. © 2015, Association for the Development of Science, engineering and Education. All rights reserved.

关键词： Cognitive workload Discrete wavelet transform EEG spectral feature Neural network

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Comparison of Different Artificial Neural Network Techniques in Prediction of Solar Radiation for Power Generation Using Different Combinations of Meterological Variables

Comparison of Different Artificial Neural Network Techniques...

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IEEE International Conference on Power Electronics, Drives and Energy Systems

作者： Amit Kumar Yadav Hasmat Malik Centre for Energy and Environment National Institute of Technology Department of Instrumentation & Control Engineering Netaji Subhas Institute of Technology (NSIT)

ISBN: (纸本)9781479963744

The main objective of present study is to compare ANN model develop with neural network fitting tool (nftool), Radial Basis Function Neural Network (RBFNN) in predicting solar radiation for power generation. The three combinations of input variables are considered for prediction. The RBFNN utilizing input parameters as latitude, longitude, height above sea level and sunshine hours has mean absolute percentage error (MAPE) of 4.94% and absolute fraction of variance (R~2) of 96.18% respectively and it give better results than conventional solar radiation prediction models (Angstrom, Akinoglu and Ecevit, Bahel, Almorox and Hontoria). Therefore RBFNN can be used for prediction of solar radiation for solar power generation.

关键词： RBFNN Solar radiation Conventional models ANN

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Implementation of fractional Fuzzy PID controllers for control of fractional-order systems

Implementation of fractional Fuzzy PID controllers for contr...

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International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Pragya Varshney Sujit Kumar Gupta Instrumentation and Control Engineering Department Netaji Subhas Institute of Technology New Delhi India Department of Physics NIT Kurukshetra Kurukshetra India

ISBN: (纸本)9781479930814

In this paper, a novel fractional fuzzy proportional-integral-derivative controller (FFPID) is proposed. The proposed controller combines the effect of fractional-order PID (FOPID) control with fuzzy logic control (FLC) to obtain a robust and effective controller. All the five parameters are first tuned using Genetic Algorithm. Fine tuning of the integer-order parameters is then done using Fuzzy logic controller. Combining these two techniques, results in a new controller called fractional fuzzy PID controller. The effectiveness and robustness of the new methodology is illustrated by applying the proposed controller on two fractional order systems; viz control of a fractional-order-system and a fractional-order plant with dead time. It is observed that the performance of the proposed controller provides better control as compared to that of PID and FOPID controllers.

关键词： Transfer functions Approximation methods Fuzzy logic Fractional calculus control systems Tuning Fuzzy sets

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Stability Analysis of Parallel Fuzzy P + Fuzzy I + Fuzzy D control Systems

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International Journal of Automation and computing 2013年第2期10卷 91-98页

作者： Vineet Kumar A. P. Mittal R. Singh Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University Indian Society for Technical Education Shaheed Jeet Singh Marg

The study presented in this paper is in continuation with the paper published by the authors on parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative （FP ＋ FI ＋ FD） controller. It addresses the stability analysis of parallel FP ＋ FI ＋ FD controller. The famous＂small gain theorem＂ is used to study the bounded-input and bounded-output （BIBO） stability of the fuzzy controller. Sufficient BIBO-stability conditions are developed for parallel FP ＋ FI ＋ FD controller. FP ＋ FI ＋ FD controller is derived from the conventional parallel proportional plus integral plus derivative （PID） controller. The parallel FP ＋ FI ＋ FD controller is actually a nonlinear controller with variable gains. It shows much better set-point tracking, disturbance rejection and noise suppression for nonlinear processes as compared to conventional PID controller.

关键词： Proportional plus integral plus derivative （PID） fuzzy proportional plus fuzzy integral plus fuzzy derivative （FP ＋ FI ＋ FD） controller fuzzy control bounded-input and bounded-output （BIBO） stability nonlinear process.

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An efficient multi modal emotion recognition system: ISAMC

An efficient multi modal emotion recognition system: ISAMC

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International Conference on the IMpact of E-technology on US (IMPETUS)

作者： Sindhiya Arora Siddhartha S. Chandel Sushil Chandra Department of Instrumentation & Control Netaji Subhas Institute of Technology New Delhi India Deen Dayal Upadhyaya Gorakhpur University Gorakhpur Gorakhpur Biomedical Engineering Department INMAS DRDO New Delhi India

This paper presents a fusion approach called Image and Signal Analysis of Multimedia Content (ISAMC) to provide a fully evolved model for emotion recognition using both external (face) and internal (EEG signals) characteristics for the same emotional phenomenon. Both image analysis and EEG signal analysis is done using a video stimulus and based on wavelet approach for feature extraction. This novel methodology provides cross-validation of EEG and Image results with self-assessment of the participants and encourages multi-classification with the use of two different classifiers. The encouraging experimental results prove that the efficiency of this method is very high and due to its simplicity it can be a promising tool for emotion recognition.

关键词： Electroencephalography Accuracy Emotion recognition Feature extraction Multiresolution analysis Support vector machines Face

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Feasibility of facial EMG in gender classification during speech production

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Journal of Medical engineering and technology 2013年第2期37卷 86-90页

作者： Godiyal, Anoop Kant Sharma, Richa Joshi, Deepak Bhatia, Dinesh Department of Electrical and Electronics Engineering Graphic Era University Dehradun India Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology New Delhi India Haryana India

Gender identification has its unique importance in sports and forensic sciences. However, the social issues are major constraints to identify the gender of a human being. A novel approach for gender classification using facial EMG is presented. The time domain features of facial EMGs are explored towards their robustness in gender identification. A Davies-Bouldin index is calculated to evaluate the features. Anterior belly of digastrics along with Orbicularis Oris Inferior showed the promising classification accuracy of 80% with the reported features. A possible enhancement in accuracy could be possible by a larger dataset. © 2013 Informa UK Ltd.

关键词： Davies-Bouldin indexfacial EMG

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CMOS digitally programmable grounded inductor

CMOS digitally programmable grounded inductor

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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Devesh Singh Neelofer Afzal Pallavi Choudekar Sachin Kumar Yadav Department of Electronics and Communication AKG Engineering College Ghaziabad Uttar Pradesh India Department of Electrical & Electronics Amity School of Engg. & Technology Noida Uttar Pradesh India Department of Instrumentation and Control Engg. Netaji Subhas Institute of Technology New Delhi India

A CMOS digitally programmable lossless grounded inductor is presented in this paper. It uses two digitally programmable second generation current conveyors (DPCCII) and three grounded passive elements including one capacitor only. The inductance value is tuned by programmable gain factor of current conveyor. As an application, a current mode multifunction filter has been realized using proposed programmable inductor. The simulation results have been demonstrated and discussed using a SPICE simulation.

关键词： Inductors Band-pass filters Inductance CMOS integrated circuits Digital filters Tuning

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Low frequency digitally programmable universal filter for communication system

Low frequency digitally programmable universal filter for co...

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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Devesh Singh Neelofer Afzal Divya Asija Sachin Kumar Yadav Department of Electronics and Communication AKG Engineering College Ghaziabad Uttar Pradesh India Department of Electronics Jamia Millia Islamia University New Delhi India Department of Elecctrical & Electronics Amity School of Engg. & Technology Noida Uttar Pradesh India Department of Instrumentation and Control Engg. Netaji Subhas Institute of Technology New Delhi India

This paper presents a low frequency digitally programmable voltage mode universal filter for modern communication systems. It employs four digitally programmable second generation current conveyors (DPCCII), two grounded capacitor and five resistors. The proposed circuit offers the features such as realization of all the standard filter functions from same configuration, independent digital control of filter parameters, no component matching constraint and low sensitivity figure. SPICE simulation results are demonstrated to confirm the theoretical analysis.

关键词： Programming CMOS integrated circuits Band-pass filters Digital filters Digital control Matched filters

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Some Investigations on Fuzzy P+Fuzzy I+Fuzzy D controller for Non-stationary Process

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International Journal of Automation and computing 2012年第5期9卷 449-458页

作者： Vineet Kumar B. C. Nakra A. P. Mittal Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University Department of Mechanical Engineering Institute of Technology and Management University Division of Instrumentation and Control Engineering Netaji Subhas Institute of TechnologyDelhi University

The paper addresses the adaptive behaviour of parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP+FI+FD) controller. The parallel FP+FI+FD controller is actually a non-linear adaptive controller whose gain changes continuously with output of the process under control. Two non-stationary processes, whose characteristics change with time, are considered for simulation study. Simulation is performed using software LabVIEW TM . The set-point tracking response of parallel FP+FI+FD is compared with conventional parallel proportional plus integral plus derivative (PID) controller, tuned with the Ziegler-Nichols (Z-N) tuning technique. Simulation results show that conventional PID controller fails to track the set-point and becomes unstable as the process changes its characteristic with time. But the parallel FP+FI+FD controller shows considerably much better set-point tracking response and does not deviate from steady state. Also, a huge spike is observed in the output of PID controller as the reference set-point and process parameters are changed, while the FP+FI+FD controller gives spike free control signal.

关键词： Proportional plus integral plus derivative (PID) controller fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP+FI+FD) controller non-stationary process adaptive control self-tuning

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Performance Comparison of Different type of Reduced Order Modeling Methods

Performance Comparison of Different type of Reduced Order Mo...

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International Conference on Advanced Computing and Communication Technologies

作者： Pushpendra Kr. Lodhwal S. K. Jha Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology University Of Delhi

ISBN: (纸本)9781467359658

Three techniques for constructing reduced order models are presented and compared. The techniques are based on: 1) Model Reduction Using the Routh Stability Criterion by V. Krishnamurthy and V. Seshadri.;2) Higher Order Reduction by Coefficient Comparison by T. Manigandan and N. Devarajan 3) Clustering method for reducing order of linear system using Pade approximation by C.B. Vishwakarma and R. Prasad. In this paper, we have compared the reduced transfer functions obtained from all the three methods and thereafter computed the Relative Integral Square Error (RISE) for different numerical examples by using the above mentioned methods.

关键词： Routh Stability Criterion Order Reduction Transfer Function Clustering method Pade approximation

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