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

Detecting a moving object is very crucial in surveillance application. Many algorithms have been developed for object detection, recognition and analysis. The algorithms involve the trajectory of detected object by locating position in each captured image. In the proposed work a system is implemented to detect foreground object in any environmental condition and the model is implemented on FPGA board. Real time foreground object detection is a very complex task. Proposed system detects object by background subtraction algorithm based on dynamic thresholding. Background subtraction algorithm detects moving object by subtracting current frame from reference background frame. The system is simulated using MATLAB and implemented on FPGA board. © 2019 IEEE.

Engineering and Technology

2019 IEEE Pune Section International Conference, PuneCon 2019

Detection of Moving Object Based on FPGA

Wireless Sensor Networks (WSNs) is made up of a network of many compact and constrained sensors. Constrained Application Protocol (CoAP) was designed particularly for the constrained nodes and networks in WSNs as a unique web transfer protocol by the Internet engineering task force (IETF) developed. Time synchronization of these low power sensor modules is in high demand. This paper proposes a time synchronization module for CoAP and focuses on the energy efficiency of the WSN for CoAP using NS2, which will help to reduce the overall network overhead and minimize the energy consumption. © 2019 IEEE.

World University root node

Proceedings - 2019 5th International Conference on Computing, Communication Control and Automation, ICCUBEA 2019

Time synchronization for CoAP using NS2

Total blood volume (TBV) analysis is key to manage the patients with cardiopulmonary bypass (CPB) cardiac surgery. Circulation of blood volume (CBV) is essential because the processes that maintain the connection between red cell volume (RCV), plasma volume (PV) and CBV may not be measured. The differences in significant surgery in patients do not always work efficiently and changes in CBV and need intensive care. The visible physiological clinical shock require urgent methods to regulate CBV because the current method is complicated and involves intervention.The current approaches to estimating blood quantity are labor-intensive, complex, and time-consuming. Severe depletion of quantity leads to selective vasoconstriction masking. Last decade, science has introduced different techniques for estimating blood quantity. So the scheme that can offer a precise assessment of blood quantity in the human body needs to be implemented. In this paper, a system is proposed where color flow imaging is used to measure TBV and CBV. The videos used are Doppler 2d echocardiogram which shows the color Doppler flow in the heart. The method used in this paper can be an alternative to the present methods of calculating the TBV and CBV as it is easy to measure the parameters with the help of Doppler velocity.

Fulltext

Scopus Indexed International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075,

Measurement of Circulation of Blood Volume(CBV) and Total Blood Volume(TBV) in Heart using Doppler Color Flow Imaging in Ultrasound Videos” i

Image super resolution refers to increasing the physical dimensions of image to overcome resolution limitations originated from certain imaging sensors such as light sensitivity of sensor, environmental lightning conditions, physical size of sensor and also of each pixel w.r.t the sensor. With the help of sparse code and the dictionary it is possible to reconstruct good quality image with high resolution. Training images are used for obtaining the sample patches which are used for obtaining coefficients of the dictionary. Therefore the process of image super resolution is carried from sparse representation of low resolution image patch generating image of high resolution. Although method is effective, it is slow due to need of processing large number of image patches. Using LASSO (Least Absolute Shrinkage and Selection Operator) approximation which is one of the regression analysis method where the approximation of solution is performed. The implementation is done on MATLAB (CPU) and NVidia CUDA platform. Here NVidia GPU which increases the speed of patch processing thereby overall improvement time consumed to run the algorithm. The algorithm is evaluated using performance parameters SSIM, Running Time, RMSE, PSNR and Entropy. © 2018 IEEE.

Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018

Super Resolution of Image Using Sparse Representation of Image Patches with LASSO Approximation on CUDA Platform

Long-range communication technologies are increasingly used due to the internet of things (IoT) deployments and their ability to perform for long-range and low power while providing a multiyear battery life. In this paper, we study security management, counter management, message acknowledgment, and vulnerabilities of LoRaWAN. We propose a jamming attack to interfere or disrupt the LoRa network by using software-defined radio-based universal software radio peripheral (USRP), GNU radio, and LoRa devices. Our analysis shows that LoRa transmission gets affected because of the coexistence of other LoRa transmission. While the impact of the interference and the effect of the imperfect orthogonality of spreading factor (SF) much depend upon the distance between LoRa communicating devices and the interference source. © 2019 IEEE.

Impact of Interference on LoRaWAN Link Performance

In latest years driver's inattention is a prime cause of traffic accidents. Driver in-attentiveness is categorized as: 1) distraction 2) drowsiness. Due to this driver's perception level and decision making capability is decreased and hence control over vehicle of driver goes off. To reduce the accidents due to driver being inattentive it is essential for continuously monitoring the driver and driving behavior and alerting the driver if he gets distracted and drowsy. Research is carried out in this area for decades. In advance if it is possible to identify unsafe driving this would prevent accidents. There are some leading automobile companies those have already incorporated this driver assistance system is discussed in this review. This paper provides an overview of current driver alertness system and different methods of detection of driver being attentive. © 2019 IEEE.

2019 International Conference on Innovative Trends and Advances in Engineering and Technology (ICITAET)

Driver Inattention Monitoring System: A Review

Road Traffic Recognition is very important in many applications, such as automated deployment, traffic mapping, and vehicle tracking. Proposed traffic sign recognition system tails the transfer learning method that is frequently used in neural network uses. The benefit of expending this technique is that the initially network has been trained with a rich set of features appropriate to a wide range of images. Once the network is trained, learning can be transferred to the new activity adjustment to the network. Firsthand Indian traffic sign dataset is used.New results exhibit that the suggested method can accomplish modest outcomes when matched with other related techniques. © BEIESP.

International Journal of Recent Technology and Engineering

Transfer learning based traffic sign recognition system for surveillance application

Indoor Navigation system is gaining lot of importance these days. It is particularly important to locate places inside a large university campus, Airport, Railway station or Museum. There are many mobile applications developed recently using different techniques. The work proposed in this paper is focusing on the need of visually challenged people while navigating in indoor environment. The approach proposed here implements the system using Beacon. The application developed with the system gives audio guidance to the user for navigation.

International journal of Engineering and Advance Technology

Real Time Indoor Navigation System for Visually Impaired

Automatic Detection of Hypertrophic CM using Segmentation Techniques in Medical Video