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

Multi-focus images may be fused to get the relevant information of a particular scene. Due to the limited depth of field of a convex lens of a camera, some objects in the image may not be focused. These images are fused to get all-in-focus image. This paper proposes an innovative way to fuse multi-focus images. The proposed algorithm calculates weights indicating the sharp regions of input images with the help of Deep Belief Network (DBN) and then fuses input images using weighted superimposition fusion rule. The proposed algorithm is analyzed and examined using various parameters like entropy, mutual information, SSIM, IQI etc. © 2018, Springer International Publishing AG.

Engineering and Technology

World University root node

Smart Innovation, Systems and Technologies

Multi-focus image fusion using deep belief network

Quality of the soil is a measure of soil fertility, observing the nutrients in the soil leads to plant life prediction, if the amount of macro and micronutrients, pH, and water measured then one can predict the fertility and protect plant life. Harvesting process change the soil nutrients and they get depleted hence replenishment is necessary, in this paper we propose design of a system which will detect the soil nutrients and necessary will automatically dispense the fertilizer in the soil, in general situation farmers add fertilizers manually, but the amount may not be proper, inappropriate quantity can harm the life of plant and cut the yield too. The proposed research solution aims to restore the level of phosphorous, potassium Nitrogen by measuring soil nutrients using a chemical process by using some sensors and adding the proper amount of fertilizers in the soil to support the plant growth and achieve better yield, this automatic detection and dispensing of fertilizers leads to solution for avoiding excess/deficient fertilizers in soil. © 2018 IEEE.

2018 International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering, ICRIEECE 2018

Automatic Investigation of Micronutrients and fertilizer dispense System using Microcontroller

Quantitative Ultrasound for Investigation of Cancellous Bone Properties in Osteoporosis Management

Handwritten character recognition of Devanagari script is an area of research in the field of pattern recognition. Feature extraction is crucially significant step in recognition system. In handwritten optical character recognition, the size of feature vectors is very high. By reducing image size, the dimension of feature vectors can be reduced but this also reduces the pixel information. This paper focus on the improvement in performance of recognition system using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). In proposed system, first raw features are extracted using three different feature extraction methods: chain coding, edge detection using gradient features and direction feature techniques, which are reduced by LDA and characters are classified using SVM classifier. © 2018 IEEE.

Proceedings of the 2nd International Conference on Inventive Systems and Control, ICISC 2018

Recognition of handwritten devanagari characters using linear discriminant analysis

Kinesics has a decisive role for the mute and deaf for inter personal communication. It necessitates body postures, face expressions and movement of hands Due to the diversity of population, each region has genus of sign language based on its individual rule of grammar. The objective is to manufacture a dynamic gesture of hand identification artifice for Indian kinesics using morphological algorithms. The pithy frames are extricated from the captured video for feature extrication and the interpretation of the sign is displayed on the screen in text format. © 2018 IEEE.

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

Morphological Based Dynamic Hand Gesture Recognition for Indian Sign Language

A brain tumor is the gathering, or mass, of unusual cells in the cerebrum. The skull, which encases the mind, is extremely unbending. Any advancement inside such a confined space can cause issues. Experts refers a tumor based on where the tumor cells started and whether they are dangerous (malignant) or not (benign). Main aim of the image segmentation is to find the location and size of the tumor present in the brain. In this paper various types of segmentation algorithms are reviewed.

Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology, ICECA 2018

A Review on Image Segmentation for Brain Tumor Detection

The detection of unnatural falls among older adults living alone at home is an essential requirement of the day. Injury after a fall is common, and immediate medication is often necessary. A fall detection system using the following features such as orientation angle, aspect ratio, Motion History Image and object below the threshold line is proposed. The combination of these features can lead to a robust fall detection system. These features are used as an input for fall detection systems using machine-learning techniques such as Support Vector Machine, K-Nearest Neighbors, Stochastic Gradient Descent, Decision Tree and Gradient Boosting. The effect of using different classifiers and feature sets for the performance of fall detection is observed. This approach provided a promising F-measure value of 96% for Decision Tree algorithm on Coffee room environment.

Journal of Engineering Science and Technology

Indoor Human Fall Detection System Based On Automatic Vision Using Computer Vision And Machine Learning Algorithms

For detecting the malignant cancerous tissues in the breast, various techniques are used like Mammography, MRI, Ultra Sound, etc. But such types of technology are miserable while examining. The Microwave Breast Imaging technique has generated scattered signals after transmission of Microwave signals. This causes a loss of information. Therefore 1Â ×Â 4 array antenna is design, to detect the tumor at early stage and this array antenna is more specific to detect the malignant tissues. The array antenna has 1Â ×Â 4 array, with Defected Ground Structure which will increase the efficiency of this model. This model is used in ISM (Industrial, Scientific, and Medical) band having frequency 2.4Â GHz. This band is unlicensed frequency band. © 2018, Springer Nature Singapore Pte Ltd.

Lecture Notes in Networks and Systems

Design and Simulation of Microstrip Array Antenna with Defected Ground Structure Using ISM Band for Bio Medical Application

One of the most effective techniques for early breast cancer detection is Digital mammography. In this technique, the electronic images of breast are taken and stored in the computer. Abnormalities in these images can be found by Gray-Level Co-occurrence Matrix (GLCM) and its textural features. The calculation of GLCM and it's textural features is a time consuming process. The affordable solution is Graphical Processing Unit (GPU) based Compute Unified Device Architecture (CUDA) framework where the calculations can be made parallel. The sequential program on CPU as well as parallel program on GPU of GLCM and textural feature calculation have been implemented. The results of optimized parallel implementation on GPU show up to 12 times faster calculation over sequential implementation on CPU. © 2017 IEEE.

Proceedings - International Conference on Trends in Electronics and Informatics, ICEI 2017

Efficient implementation of GLCM based texture feature computation using CUDA platform

The world over, prevailing technologies to assist physically challenged people are either complex or available at high cost. The recent development in the medical world, however, claim to facilitate comfort and make their life autonomously operational but lack of information, training, and functional intricacies often lead to discouraging users. This paper presents a comprehensive study of an existing system called 'Internet of Things' (ioT); this system is a programmable well-synchronized network of different electronic devices, sensors, mechanical & digital machines and highly active communication network. IoT is used to provide assistance to visually challenged (blind) people and help to extend their self-reliance not only in the known environment but also unknown places would become easily accessible to them. In this preliminary approach, various possibilities to develop multisensory network based on 'Inter of Things' have been proposed. This approach not only targets technical complications associated with available technologies but also introduces inexpensive and user-friendly applications which can easily be employed to provide comfort. © 2018 IEEE.