Hybrid journal (It can contain Open Access articles) ISSN (Print) 2052-8477 - ISSN (Online) 2052-8485 Published by Inderscience Publishers[439 journals]
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Authors:Bhavna P. Harne, Anil S. Hiwale Pages: 101 - 116 Abstract: In our previous study, FFT analysis has been used for spectral analysis of the EEG signal to investigate the effect of Om mantra meditation. It was proved that this mediation plays a role in providing relaxation. In the present study, we continued our work with wavelet analysis to firmly establish this benefit. Two-way repeated measures ANOVA was used on relative power obtained by FFT and DWT. The comparative results of both methods are presented. The same increasing and decreasing pattern of relative power are observed in each band with FFT and DWT. An increase in theta power in all regions of the brain has been observed with both the methods. Raised theta is a sign of deep relaxation. The study confirms that this 30 minutes of Om mediation offers relaxation; then it could be the way to de-stress if adopted as a daily routine. Keywords: mantra meditation; EEG; Om Citation: International Journal of Intelligent Systems Design and Computing, Vol. 3, No. 2 (2020) pp. 101 - 116 PubDate: 2021-05-21T23:20:50-05:00 DOI: 10.1504/IJISDC.2020.115166 Issue No:Vol. 3, No. 2 (2021)
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Authors:Prabhash Chandra, Devendra Agarwal, Praveen Kumar Shukla Pages: 117 - 132 Abstract: Considering the benefits of the human decision making, the efforts have been executed to implement it in machines. The chronic problem addressed in this implementation is the representation and manipulation of human knowledge which is full of uncertainties and imprecision due to its subjective nature. To deal with this problem a strong mathematical framework is investigated known as fuzzy logic. Initially the concept of fuzzy set has been developed by extending the Boolean crisp set logic. Further, type-2 fuzzy systems and interval type-2 fuzzy systems are investigated. This paper reviews the approaches and systems developed under the category of interval type-2 fuzzy systems along with the interpretability and accuracy issues in fuzzy systems. Keywords: crisp sets; fuzzy sets; T-norm; S-norm; type-2 fuzzy systems; interval type-2 fuzzy systems Citation: International Journal of Intelligent Systems Design and Computing, Vol. 3, No. 2 (2020) pp. 117 - 132 PubDate: 2021-05-21T23:20:50-05:00 DOI: 10.1504/IJISDC.2020.115168 Issue No:Vol. 3, No. 2 (2021)
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Authors:Vipul Sharma, Saumendra Kumar Mohapatra, Mihir Narayan Mohanty Pages: 133 - 144 Abstract: Artificial neural networks and their variants play an important role in the analysis and classification of different biomedical data. Deep learning is an advanced machine learning approach which has been used in many applications in the last few years. Worldwide breast cancer is a major disease for women; it is one of the most challenging jobs to detect at an early stage. The authors in this work have taken an attempt to classify the breast cancer data collected from the UCI machine learning repository. Malignant and benign two different types of breast cancer tumours are classified using deep neural network (DNN). Before classification two pre-processing steps are done for improving the accuracy. The correlation and one-hot encoding of the dataset was done for getting some relevant features that can be used as the input to the DNN. Around 94% of classification accuracy is achieved by using a six-layer DNN classifier. The result is also compared with some earlier works and it is found that the proposed classifier is providing better results as compared to others. Keywords: artificial neural network; ANN; deep learning; deep neural network; DNN; breast cancer; classification Citation: International Journal of Intelligent Systems Design and Computing, Vol. 3, No. 2 (2020) pp. 133 - 144 PubDate: 2021-05-21T23:20:50-05:00 DOI: 10.1504/IJISDC.2020.115169 Issue No:Vol. 3, No. 2 (2021)
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Authors:Swati Sucharita Pradhan, Raseswari Pradhan, Bidyadhar Subudhi Pages: 145 - 160 Abstract: A new controller is designed for performance improvement of a photovoltaic based microgrid (PVMG) system in this paper. The photovoltaic system is integrated to grid via an H-bridge voltage-source inverter (VSI). To enhance the power conversion from the solar panel, an incremental conductance (I&C) Maximum-Power-Point-Tracking (MPPT) controller is designed. The proposed controller comprises of two units namely for accomplishing power quality improvement and MPPT tasks. We design a sliding mode controller for improving power quality. This controller is designed to control the power-flow injection to the PVMG. The results are compared with that of the proportional-integral+proportional-integral-derivative (PI+PID) hybrid controller to evaluate its effectiveness. From the transient performance analysis, it is found that with the proposed controller, it is faster in response, with lesser harmonics and more robust compared to the PI+PID hybrid controller. Also, this system is capable controlling both active and reactive power of the line. Keywords: PVMG system; grid integration; robust control; PI + SMC; PI + PID; I&C MPPT; microgrid Citation: International Journal of Intelligent Systems Design and Computing, Vol. 3, No. 2 (2020) pp. 145 - 160 PubDate: 2021-05-21T23:20:50-05:00 DOI: 10.1504/IJISDC.2020.115170 Issue No:Vol. 3, No. 2 (2021)
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Authors:Richa Golash, Yogendra Kumar Jain Pages: 161 - 177 Abstract: This paper proposes a method for real-time visual tracking of moving hand in RGB videos without any segmentation process and background subtraction. We have used YC<SUB align="right">gC<SUB align="right">r converted version of YC<SUB align="right">bC<SUB align="right">r colour space for a more compact representation of the initial region of moving hand and then local feature SIFT to detect and track hand simultaneously. YC<SUB align="right">gC<SUB align="right">r has a high tendency for skin colour accretion and can effectively discriminate between the skin and non-skin colour regions. The approach demonstrates that using local features (SIFT) of only active region reduces the computation as well as make the method free from the challenges of freedom factor of hand and thus the methodology can detect the hand of any shape and size without being affected by background conditions. In general, researchers avoid using a normal camera for applications based on hand tracking, as RGB images are sensitive to illumination. Our work exhibits that the combination of YC<SUB align="right">gC<SUB align="right">r and two-stage feature matching through SIFT algorithm is successful in tracking non-rigid objects with less computation. The methodology is further evaluated with Kalman tracking in hand gesture recognition and is also compared with contemporary works. Keywords: hand gesture recognition; HGR; feature extraction; scale invariant feature transform; SIFT; Kalman filter; tracking Citation: International Journal of Intelligent Systems Design and Computing, Vol. 3, No. 2 (2020) pp. 161 - 177 PubDate: 2021-05-21T23:20:50-05:00 DOI: 10.1504/IJISDC.2020.115175 Issue No:Vol. 3, No. 2 (2021)
Hybrid journal (It can contain Open Access articles)
[439 journals]
