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 Computer Engineering & Technology

World University root node

Engineering and Technology

Restructuring of object-oriented software system using clustering techniques

Facial based human age estimation has attracted lot of attention nowadays. Age estimation has become quite challenging task due to variation in lighting conditions, poses, and facial expression. Despite so much research in facial based human age estimation still there is room to improve performance. To improve accuracy we present age estimation using deep belief network. Deep belief network have shown superior performance as compared to other classification models. Success of deep belief network lies in contrastive divergence algorithm. Facial images passes though viola johns facial detection algorithm, once face is detected facial featured are extracted using active appearance and scattering transform feature method. These feature extraction model not only extracts geometric features but also extracts texture features. Subsequently deep belief network classification model is built on partitioned training images and evaluated on testing images. We performed experimentation on training images. Dataset and results are obtained by varying training percentages. Compared to other age estimation models we achieved low mean absolute error of 4.95 for 70% training images dataset. This study shows that due to inclusion of deep belief network performance is excelled. © 2020, Springer Nature Switzerland AG.

EAI/Springer Innovations in Communication and Computing

Facial Based Human Age Estimation Using Deep Belief Network

The Autism Spectrum Disorder (ASD) is known to be characterized by decreased social interactions to stimuli, difficulties in communication, repetitive behaviours and physical movements, unusual or severely limited interests. Since it affects different individuals differently and to different extents, it is very challenging to diagnose and differentiate from other neurodevelopmental disorders. The earlier it is diagnosed, the better it is for the individual, as an intervention protocol can be charted at the earliest. Research shows that early intervention can be very beneficial in the long term as the affected individuals' symptoms can be reduced to a great extent and in some cases they may not show up on the spectrum at all, but the lack of awareness and objective diagnostic tools makes it difficult to diagnose at an early age. The objective nature of the automated approaches to the screening of Autism Spectrum Disorder would be considered as a viable option for a second opinion and by an extension also an efficient screening process after which the patients would be referred to a therapist. Tests like eye tracking, detection of physical attributes via wearable and static IoT devices, classification on MRI scans and voice prosody detection techniques are easily reproducible and more time efficient than a one on one interview session with a therapist. In this paper we explore the various innovations made in automating the screening process. This paper lists the demerits of the subjective existing diagnosis systems and also surveys and complies the various eye gazing, voice prosody, wearable IoT modules, their contributions and their impacts in making the diagnosis process of Autism Spectral Disorder more objective and efficient. © 2020 IEEE.

2020 IEEE 15th International Conference on Industrial and Information Systems, ICIIS 2020 - Proceedings

A Survey: Strategies for detection of Autism Syndrome Disorder

Walking is the commonly adopted exercise to maintain and regain the fitness. The very basic thing which layman can understand is observed variation in walking speed during different phases, monitoring of such variation at early stage helps out to know the health condition in certain diseases. To understand the influence of Barefoot Walk and with Shoe Walk, Gait Velocity is selected for basic analysis of the gait pattern in this paper. Fifty subjects within age group of 25 to 75 years are selected for data collection and requested to walk barefoot and using comfortable footwear. Using GAITRite mat platform working on pressure sensors logic, data is recorded and results are tested. Results shows that the barefoot velocity remains on lower side compared with shoe walk. While, when compared along with age group it shows linear relation between gait velocity and age. As age increases the velocity decreases. © 2020 IEEE.

2nd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2020 - Conference Proceedings

Verifying the Effect of Barefoot Walk and Comfortable Shoe Walk using Gait Velocity as a Tool for Analysis

Design of 200W Ku band GaN HEMT power amplifier is presented. A balanced configuration using 20 mm bare die packaged GaN HEMTdevice is discussed. Branch line coupler is used to parallel cascade two single stage power amplifiers. Inductor based equivalent bondwire array modelis used for this design. Simulated performance of power amplifier (PA) shows 200W output power with drain efficiency of 68% and power addedefficiency (PAE) of 53% at design frequency of 11.10 GHz. Less than 0.5 dB variation in large signal gain is observed between 11.07-11.20 GHz band offrequency. Proposed GaN HEMT power amplifier can be used to replace conventional travelling wave tube amplifiers (TWTAs) used in Ku-band satellitecommunication.

International Journal of Scientific and Technology Research

200W Ku-Band Gan HEMT power amplifier for satellite communication

GIS Science Journal

Smart Captcha Version 1

Underwater imaging is one of the most interesting and popular field for researchers and scientists now a day. Generally, underwater images are suffered from poor visibility and color shift because of absorption of different wavelength lights and scattering of water droplets. To address these problems, this paper proposed a novel framework based on fusion principle for enhancing of underwater images. Our strategy consists of four main steps. In first step, we perform color correction using white balancing based on gray world algorithm to remove the unwanted color cast. Then we processed the white balanced image using contrast enhancement techniques i.e. gamma correction of optimal value is 1.5 and sharpening. After second step, both versions of images of contrast enhancement techniques are processed through weight mapping of three categories i.e. luminance, chromatic and saliency. Finally, both versions of images are fused through stationary wavelet based fusion rule to get better quality final enhanced image. Our quantitative and qualitative analysis reveals that our approach outperforms better as compared to state-of-the-art algorithms. Our corroboration also demonstrates that the enhanced images are characterized by improved edge sharpness, global contrast and clear visible dark regions.

2020 IEEE International Conference for Innovation in Technology, INOCON 2020

Underwater Image Enhancement via Color Balance and Stationary Wavelet Based Fusion

SSRN Electronic Journal

Selection of Cluster Head Techniques in WSN: A Review

Proceeding of International Conference on Computational Science and Applications

Detection of Ransomware Attack: A Review

Road conditions and obstacles indication system is a system that can be added to a vehicle to indicate possible events that can cause sudden deceleration on the road to avoid rear-end collisions and for improving road safety while driving. Normally every vehicle is equipped with a tail light to indicate the brakes, but this indication is dependent on the application of brakes. Due to this, they are not helpful in various cases that contain sudden deceleration. Most of the rear-end collisions occur when the driver of the vehicle is Unable to predict the behavior of the speeding of the preceding vehicle. The tail light is a manual option for this problem, but Road conditions and Obstacle Indication System provides an automatic option. This system contains simple architecture that includes the camera sensors, processing unit and an indicating device. To prevent rear-end collisions, the indication system helps the following driver to make judgments based on Road conditions and the type of obstacle along with its intensity in front of the preceding driver. This system can use to increase the safety of road traffic by using more relevant signals for indications of obstacles. According to the invention, the indicator comprises an indication of obstacles like potholes, road bumps and objects appearing in front of the vehicle including its intensity, here intensity is considered as distance between obstacle and vehicle. A significant purpose of the Road conditions and Obstacles Indication System (RCOIS) is to indicate that the preceding driver may slow down or stop the vehicle.