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Shetty S.,Sardar Patel Institute of Technology | Rao Y.S.,Sardar Patel Institute of Technology
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017

Parkinson's Disease (PD) is a neuro-degenerative disease which affects a persons mobility. Tremors, rigidity of the muscles and imprecise gait movements are characteristics of this disease. Past attempts have been made to classify Parkinsons disease from healthy subjects but in this work, effort was made to focus on the specific gait characteristics which would help differentiate Parkinsons Disease from other neurological diseases (Amyotrophic lateral sclerosis (ALS) and Huntingtons Disease) as well as healthy controls. A range of statistical feature vector considered here from the Time-series gait data which are then reduced using correlation matrix. These feature vectors are then individually analysed to extract the best 7 feature vectors which are then classified using a Gaussian radial basis function kernel based Support vector machine (SVM) classifier. Results show that the 7 features selected for SVM achieves good overall accuracy of 83.33%, good detection rate for Parkinsons disease of 75% and low false positive results of 16.67%. © 2016 IEEE.

Shah S.,Sardar Patel Institute of Technology | Shaikh A.,Sardar Patel Institute of Technology
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017

Inverted Index is an important data structure in computer science. It is used to create a mapping between a word and the set of documents in which that word appears. Thus, it is used to store documents per word. Currently, the output of inverted indexing is stored haphazardly in a look up table. Hence traversing through the look up table for fetching indexes requires linear search. The time complexity of linear search is O(n) where n is the number of words whose inverted index has been stored. In this paper, a hash based optimization is proposed for storing the output of inverted index which can reduce the searching time complexity to O(1). Since inverted indexes are quite popular in big data applications like search engines, a MapReduce implementation of the proposed technique is also presented which can be easily implemented in a distributed environment.

Kumari N.,Sardar Patel Institute of Technology | Karia D.C.,Sardar Patel Institute of Technology
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

In this paper, multiband Bow Tie antenna with the circular arm is proposed with two circular slots of radius 13 mm in the ground plane. By applying the Apollonian Gasket of fractal geometry on the circular arm of Bow Tie this antenna is resonating at four frequencies, 3.57, 5.79, 6.99 and 8.38 GHz with reflection coefficient values of -19.42 dB, -52.97 dB, -29.93 dB and -26.92 dB respectively. With a circular slot reflection coefficient < -10 dB in whole UWB range (3.1-10.6 GHz) is obtained except for a band rejection between 8.85-9.96 GHz. The radiation pattern is almost omnidirectional for UWB. The maximum gain obtained is 5.89 dBi. This designed antenna is 94.8% efficient for above four resonating frequencies and efficiency is more than 45% of whole UWB range. By inserting circular slots in the ground plane of proposed antenna the various parameters have been improved such as return loss, bandwidth and gain. Simulation has done up to 3rd iteration of the fractal. Designing and simulation of this antenna have been done with the help of IE3D 15.3 software. The application of this antenna is in satellite, cellular mobile and radar. © 2016 IEEE.

Talele K.,Sardar Patel Institute of Technology | Tuckley K.,AGV Systems Pvt. Ltd. Mumbai
IEEE Region 10 Annual International Conference, Proceedings/TENCON | Year: 2017

Human Action Units are based on head, hand and leg movements. Head movements include 11 action units, hand movements show 13 action units whereas leg movements have 16 action units. The measurement parameters are local feature points of body parts and global feature points of whole body. For each body parts such as head, left hand, right hand, left leg, right leg and torso, local descriptors are obtained from the histogram of local features of body parts. Global descriptors includes measurement parameters related to the position and orientation of different parts of body, It also includes area, perimeter, centroid, and eccentricity. Body features are used to detect predetermined action units of head, hand and leg. Rule based logic is developed to detect negative emotion of patient considering 3 head gestures, 4 hand gestures and 4 leg gestures. The proposed algorithm gives promising results for leg action unit detection, moderate results for head and hand action units detection. The body gesture recognition produced promising results. Efficiency of hand movements and leg movements was 90 % where as head movements produced efficiency of 85 %. © 2016 IEEE.

Chaudhari S.T.,Sardar Patel Institute of Technology | Kale A.,Thadomal Shahani Engg College
Proceedings - 3rd International Conference on Emerging Trends in Engineering and Technology, ICETET 2010 | Year: 2010

This paper presents two approaches of face recognition and effect of geometric and brightness normalization on it.. The algorithm presented here 1) Detects the position of pupils in the face image using geometric relation between the face and the eyes and normalizes the orientation of the face image. Normalized and non normalized face images are given to holistic face recognition approach. 2) Selects features manually. Then determine the distance between these features in the face image and apply graph isomorphism rule for face recognition. Then apply Gabor filter on the selected features. Algorithm takes into account Gabor coefficient as well as Euclidean distance between features for face recognition. Brightness normalized and non normalized face images are given to feature based approach face recognition methods. Results demonstrate that the normalized faces can improve the recognition rate in both approaches. © 2010 IEEE.

Srivastava S.,Shah and Anchor Kutchhi Engineering College | Rathod S.S.,Sardar Patel Institute of Technology
Proceedings of the 3rd International Conference on Devices, Circuits and Systems, ICDCS 2016 | Year: 2016

Carver Mead at Caltech in the mid-1980s proposed to build devices based on the organizing principles used by nervous system. He coined these systems as 'Neuromorphic systems'. They are usually composed of analog electronic circuits in the Complementary-metal-oxide-semiconductor (CMOS) technology. These Neuromorphic circuits aim at emulating biological nervous system and its components in silicon hardware. The emulation of neuron behavior at circuit level is one of the most complex tasks in the development of neuromorphic hardware. The analog implementations of neurons require less area and less power consumption as compared to its digital implementation. Thus, these are the serious contenders for future large scale neuromorphic systems. A number of neuron models and their implementations are reported in literature out of which Integrate and fire neurons are found to be most simple, compact, and highly energy efficient circuits. In quest of implementation of more dense and low power circuits in these analog electronic systems, constant scaling of CMOS technology has opened new avenues. In order to get benefit from the scaled down technology node and the Silicon neuron circuits already available, the option of porting an existing neuron circuit implemented in higher process technology to the 180nm process technology is explored in this paper. We have implemented an existing integrate and fire neuron circuit at 180nm CMOS technology node with circuit simulator and studied the resulting characteristics. © 2016 IEEE.

Makwana R.,Sardar Patel Institute of Technology | Baviskar J.,Sardar Patel Institute of Technology | Panchal N.,Sardar Patel Institute of Technology | Karia D.,Sardar Patel Institute of Technology
2013 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2013 | Year: 2013

Automations in industrial, commercial or residential sectors mostly depends upon the power systems, which requires distant controlling and monitoring. With the proliferation of wireless technologies, it is more efficient to implement an appropriate technology depending upon the cost, speed and distance requirements of the proposed system. This paper provides a comparative study of different wireless protocols such as ZigBee (over IEEE 802.15.4) and Bluetooth (over IEEE 802.15.1) for the selection of appropriate technology for Load Control. Further it describes a project model for remote controlling and monitoring of various loads/appliances and a means of efficient power utilization through real-time power consumption with the help of a PC-based GUI application. © 2013 IEEE.

Gonsalves R.,Sardar Patel Institute of Technology
2014 International Conference on Circuits, Systems, Communication and Information Technology Applications, CSCITA 2014 | Year: 2014

In wireless network, providing good indoor coverage has become a great challenge for operators to meet the requirement of high speed data services. These services will help the operators to maintain the customer base and increase the revenue. User deployed femtocell has provided the much needed and less expensive solution for indoor coverage. Sharing all available spectrum between femtocell and macrocell network leads to the efficient utilization of the spectrum. However, this could result in much higher interference power. Also, deployment of femtocells in an unplanned manner make the statistical analysis of two tier network difficult. In this paper, we take into account the random deployment of femtocells and derive a semianalytical expression for the outage probability of a typical user in the network. This is analogous to the cumulative distribution function (CDF) of downlink signal to interference ratio (SIR). To limit the interference power, we consider open access femtocell deployment scenario where users associate with the base station (BS) from which they receive maximum power. © 2014 IEEE.

Kasambe P.V.,Sardar Patel Institute of Technology | Rathod S.S.,Sardar Patel Institute of Technology
Procedia Computer Science | Year: 2015

Wavelet denoising represents a common preprocessing step for several biomedical applications exposing low SNR. These applications require real time processing along with minimization of power and area, only custom VLSI implementations can be adopted for this fulfillment. In this paper, Photoplethysmography (PPG) signal is used as a biomedical signal as an example. PPG is a non-invasive method in which relative blood volume changes in the blood close to skin is measured. The "pulse waveform" never underwent intensive investigation. Active investigation efforts are opening to reveal its effectiveness beyond oxygen saturation and determination of heart rate. With the introduction of pulse oximeter, this is one of the important waveforms that are normally displayed in the clinical settings nowadays. But, the acquired PPG signal using PPG sensors are usually corrupted with different kinds of interference like Motion Artifacts, Power Line Noise, etc. We consider Power Line Noise for the performance evaluation of VLSI Wavelet based denoising of PPG signal. Different kinds of Wavelets such as db4, Coif1, Haar for denoising. Also, standard deviation and mean absolute deviation are used as evaluation criteria. Xilinx System Generator for DSP is exploited for the design of the architecture and simulation of proposed denoising method. © 2015 The Authors. Published by Elsevier B.V.

Srinivasa Rao Y.,Sardar Patel Institute of Technology | Chandorkar M.,Indian Institute of Technology Bombay
IEEE International Symposium on Industrial Electronics | Year: 2012

The paper presents a method of emulating electrical loads using power electronic Voltage Source Inverters (VSIs). The loads include machines such as induction motors and three phase diode rectifiers as well as larger electrical systems. The emulation of unbalanced four-wire loads has been achieved using a four-leg VSI. The load emulator is effectively a dynamically controllable source or sink which is capable of bidirectional power exchange with either a grid or another power electronic converter system. Using load emulation, the feasibility of connecting a particular machine to a grid or converter under various load conditions can be examined without the need for any electromechanical machinery. The additional feature of the load emulation technique described in the paper is the feedback of power absorbed by the emulator back to the grid. This feedback of power has been termed as power regeneration and has been achieved by another VSI in current controlled mode with the references generated using instantaneous p-q-r theory. The consistency of the experimental results with the simulation results proves the ability of emulator and the proposed testing approach. © 2012 IEEE.

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