MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Electronics & Communication Engineering

Nowadays, Multicarrier Direct sequence code division multiple access (MC DS-CDMA) systems are used in mobile communication. Performance of these systems are limited by multiple access interference (MAI) created by spread-spectrum users in the channel as well as background channel noise. This paper proposes an incremental gradient descent (IGD) multi-user detection (MUD) for MC DS-CDMA system that can achieve near-optimum performance while the number of users is linear in its implementation complexity. The IGD algorithm make an effort to perform optimum MUD by updating one user's bit decision each iteration in the best way. This algorithm accelerates the gradient algorithm convergence by averaging. When a minimum mean square error (MMSE) MUD is employed to initialize the proposed algorithm, in all cases tested the gradient search converges to a solution with optimum performance. Further, the iterative tests denote that the proposed IGD algorithm provides significant performance for cases where other suboptimum algorithms perform poorly. Simulation compares the proposed IGD algorithm with the conventional detectors.

Engineering and Technology

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International Journal of Engineering and Technology

Incremental gradient algorithm for multiuser detection in multi-carrier DS-CDMA system under modulation schemes

Using the Internet of Things Technology for supervising solar power generation can greatly enhance the performance, monitoring and maintenance of the plant. With advancement of technologies the cost of renewable energy equipment is going down globally encouraging large scale solar plant installations. This massive scale of solar system deployment requires sophisticated systems for automation of the plant monitoring remotely using web based interfaces as majority of them are installed in inaccessible locations and thus unable to be monitored from a dedicated location. The Project is based on implementation of new cost effective methodology based on IoT to remotely monitoring a solar plant for performance evaluation. This will facilitate preventive maintenance, fault detection of the plant in addition to real time monitoring.

IJIRCCE, International Journal of Innovative Research in Computer and Communication Engineering

Solar Power Monitoring system using IoT’

Images of four qualities of mangoes and guavas are evaluated for color and textural features to characterize and classify them, and to model the fruit appearance grading. The paper discusses three approaches to identify most discriminating texture features of both the fruits. In the first approach, fruit’s color and texture features are selected using Mahalanobis distance. A total of 20 color features and 40 textural features are extracted for analysis. Using Mahalanobis distance and feature intercorrelation analyses, one best color feature (mean of a*[L*a*b* color space]) and two textural features (energy a*, contrast of H*) are selected as features for Guava while two bestcolor features (R std, H std) and one textural features (energy b*) are selected as features for mangoes with the highest discriminate power. The second approach studies some common wavelet families for searching the best classification model for fruit quality grading. The wavelet features extracted from five basic mother wavelets (db, bior, rbior, Coif, Sym) are explored to characterize fruits texture appearance. In third approach, genetic algorithm is used to select only those color and wavelet texture features that are relevant to the separation of the class, from a large universe of features. The study shows that image color and texture features which were identified using agenetic algorithm can distinguish between various qualities classes of fruits. The experimental results showed that support vector machine classifier is elected for Guava grading with an accuracy of 97.61% and artificial neural network is elected from Mango grading with an accuracy of 95.65%. Practical applications: The proposed method is nondestructive fruit quality assessment method. The experimental results has proven that Genetic algorithm along with wavelet textures feature has potential to discriminate fruit quality. Finally, it can be concluded that discussed method is an accurate, reliable, and objective tool to determine fruit quality namely Mango and Guava, and might be applicable to in-line sorting systems

Journal of Texture Studies (Wiley)

Appearance and characterization of fruit image textures for quality sorting using wavelet transform and genetic algorithms

The contribution of this paper is to classify the images with transformation present in it. Transformations in the images are translation, rotation, scale and noise. The accuracy of classification decreases because of translations in the images. The proposed framework uses Convolutional Neural Network (CNN) for classification of transformed images. It consists of two convolutional neural networks, first CNN1, it is the standard CNN trained by images formed by data augmentation approach. Then its performance is tested for dataset of transformed images. The second one CNN2 is trained on only translated images. In the first stage, the images are classified using CNN1. And in the second stage, images misclassified by CNN1 are fed to CNN2 for further classification. The proposed framework is evaluated on hand written digits dataset-MNIST and alphabets dataset by NIST. The result shows that framework proposed outperforms single CNN. © 2018 IEEE.

2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018 - Proceedings

A CNN based framework for translation invariant image classification

Laboratories in education are the ideal place where students practice the concepts by doing. The cost-efficient laboratory enhances the learning of students by exploring the concepts practically using Computer-aided tools and interfacing the developed model to hardware for practically visualizing the propagation of the signal. This paper presents the general framework and study of related work done in this field by using different software tools like MATLAB/Simulink, Lab VIEW, Proteus, Pspice etc. and hardware methodologies like DSP processor, FPGA board, DSK board, Arduino kit etc. which help the student to learn and apply the concepts more effectively in the real world. © 2017 IEEE.

Proceedings of the International Conference on Computing Methodologies and Communication, ICCMC 2017

A review on cost-efficient virtual laboratory: A teaching aid

The fetal electrocardiogram (f-ECG) beats analysis as well as the heart rate interpretation using the raw ECG signals captured by machine helps in providing the state of the fetus in pregnancy. For timely detection of the fetal arrhythmias, monitoring fetal ECGs constantly is important. In this paper, we are presenting the framework for detection of fetal from maternal ECG based on sparse binary matrix using Compressive Sensing. Additionally, we are presenting the preprocessing algorithm on raw fetus ECG data to remove the noises like impulsive artifacts along with notch filtering for baseline removal. The proposed method is on the basis of sparse representation of the components that are acquired using Independent Component Analysis (ICA) method, which is designed for direct application in the compressed domain. Detection of fetal ECG is performed on the basis of activated atoms in a specially designed Gaussian dictionary. The verification of the proposed framework has been carried out on ten samples of Challenge dataset A by determining QRS detection parameters such as sensitivity, S= 90.62% and positive predictivity, given by P+= 99.15%. © 2018 IEEE.

Proceedings of the International Conference on Inventive Research in Computing Applications, ICIRCA 2018

Fetal ECG Separation from Abdominal ECG Recordings Using Compressive Sensing Approach

The iris has been described as the ideal part of the human body compared to other biometrics for biometric identification technique which provides individual authentication based on unique features possessed by individual even though their DNA is similar. This paper provides general framework for iris recognition with different methods available for segmentation, normalization, feature extraction, and for classification. Iris recognition improves the overall performance and accuracy of biometric identification. This paper provides a brief introduction about classification techniques such as support vector machines and artificial neural networks, and a review on different wavelet based feature extraction techniques used for iris recognition. © 2017 IEEE.

An empirical study on iris texture characterization using geometrical wavelet transform

Amongst many imaging modalities available now a days, Ultrasound is the most widely used because of the reasons like radiation free, real time, non-invasive and non-ionizing. During patient's care, medical images, videos other physiological signals, become an integral part of diagnostic and treatment phases. Ultrasound is more advantageous and cheaper than other modalities like MRI, CT, PET. Speckle noise present in US hampers the quality of images which in turn considerably increases the difficulty in medical visual inspection. The diagnostic accuracy will be more if image is less noisy, this necessitates the use of efficient despeckling filter which will take care of edge detection, loss of information and improve visual evaluation. MSE assess the image quality, if the value is high then image quality is poor. PSNR is another quality metrics, high value indicates the better denoising algorithm. In the present work seven different filters are listed and experimental work is carried out on LEE and Hybrid Median filter (HMF). The experimental result of PSNR and MSE values are considered for evaluation purpose. © 2017 IEEE.

International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017

Efficient Speckle Reduction Techniques in Ultrasound Video Quality Enhancement-A Comparative Evaluation

The recent automotive ADAS (Advanced Driver Assistance System) technology is consist of 360 degree view camera system around a vehicle. The 360 degree view camera system around a vehicle supports the driver during drive the vehicle. The system is assembling around the vehicle by using four fish eye cameras attached to the vehicle, each camera capturing a four different direction around vehicle. We deploped a real time three dimensional vision system around vehicle that can secure safe driving. The System consist of camera calibration method specially for produce inverse prospective mapping of captured images onto 3D bowl model. The four images from camera stitched on bowl geometry and rendered as third person point of view. This system is mainly remove blind spot problem of vehicle. The system runs on DSP C66x processor to produce three dimensional vision system around vehicle. © 2017 IEEE.

IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017

Three dimensional vision system around vehicle

We propose design, simulate and do the analysis of a non-blocking Microring Resonator (MRR) based silicon optical router. The design of router and switching matrix is made by considering the losses due to various fundamental components used in the router and symmetry of the components while placing them in the design. Thus, the achieved design results in the reduction of crossings and at the same time is the most symmetrical design. The proposed router uses sixteen MRRs, four bends and fourteen crossings. Analysis of the router shows a reduction in insertion losses because of the decrease in the number of crossings. Moreover, the principle used to switch on and off the MRR is based on the thermo-optic effect. In comparison to other designs of optical routers, the proposed design can be viewed as most symmetric design and give better results in term of fewer losses, more switching speed and lower power consumption. © 2018 IEEE.