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

Engineering and Technology

AWJM is broadly utilized in different modern applications, for example, slicing hard-to-cut materials, boring and pocket processing in composite parts, cutting different materials in textile and leather enterprises and so on. This innovation is valuable for mechanical applications since it has focal points, for example, less touchy to material properties, no babble, no warm impacts, negligible weights on the work piece and high machining versatility and adaptability, additionally, AWJM produces surfaces of worthy completion and high integrity. Cutting and machining rate of AWJM is higher than ordinary machining forms [1]. In AWJM process, (Figure 1) the undesirable material of workpiece is evacuated by the consolidated activity of rapid water and abrasive particles. The rapid flow of water moves the motor vitality to the abrasive particles and the blend (water and abrasives) encroaches on the workpiece material. The exhibition of AWJM procedure is subject to the disintegration of material by the pressurized water-abrasive blend and mechanical properties of workpiece material alongside different procedure parameters [2]

World University root node

School of Mechanical Engineering

International Journal for Research in Engineering Application & Management (IJREAM)

Experimental investigation, optimization and modeling of carbon fibre graphite/epoxy laminates with the help of abrasive water jet machine

Extension of fast R-CNN (Recurrent Convolution Neural Network) [1] and Recurrent-CNN [2] is Faster Recurrent CNN detection techniques. All these three strategies use convolutional neural networks (CNN). The distinction between them is the way to select the regions to work and the way those regions are categorised. Recurrent CNN and fast R-CNN used algorithm proposed region as a pre-processing step before running CNN. Algorithms are usually technical proposals such as Borders [3] or Selective Search [4] boxes, which are independent of CNN. Fast Recurrent CNN, the use of these systems becomes bottleneck process with relevance to CNN’s operation. Fast R-CNN solves this downside by applying the projected mechanism to use the region and then CNN. An RPN is a fully convex network that predicts object boundaries and object scores at each location simultaneously. © 2020, Springer Nature Singapore Pte Ltd.

School of Electronics & Communication Engineering

ICDSMLA 2019

Vehicle Detection Using Faster Recurrent Convolution Neural Network

There are around 16 million people who are blind, and this system is to support them for object detection and as well as person recognition in future. This is future of artificial intelligence. This system used Intel neural compute stick which has OpenVINO API and supports various frameworks like TensorFlow, Caffe, MXNet, ONNX, Kaldi, etc. This system can detect object from the frame correctly. For testing, implementation is done on raspberry pi 3B+ which uses Raspbian operating system, Intel’s neural compute stick, and Web camera. This can be artificial eye for blind people, and beauty of project is edge intelligence, without Internet and cloud. When data is analyzed and aggregated in a spot, where it is captured in a network is known as edge intelligence. There are many advantages of intelligence at the edge like it will minimize latency and help to reduce bandwidth, and cost reduction is also one of the important features addition to reducing threats which also minimizes duplication as well as improves reliability. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

International Conference on Information and Communication Technology for Intelligent Systems

Edge Intelligence-Based Object Detection System Using Neural Compute Stick for Visually Impaired People

School of Computer Engineering & Technology

International Journal of Innovative Technology and Exploring Engineering (IJITEE)

A Machine Learning-Based Method for Predicting unknown Pharmacointeractions

Bioremediation of petroleum hydrocarbon contaminated soil is studied using the slurry bioreactor. This method overcomes the limitations of the mass transfer rates and thereby improves the extent of degradation as compared to the conventional bioremediation techniques. Soil from crude oil producing well site was used for the study. Three different microorganisms were isolated and their bio-surfactant producing capacity was studied. The three best organisms were used for bioremediation using slurry bioreactor. The reduction in the Total Petroleum Hydrocarbon (TPH) for different microorganisms was studied over the period of 72 hours. The variation in other parameters such as Dissolved Oxygen (DO), pH and Colony Forming Units (CFU/mL) was studied. The criterion for selection of microorganism suitable for the bioremediation process using slurry reactor is proposed. The current work highlights the importance of the treatability studies in the bioremediation of contaminated soil for large scale applications of slurry reactor technology.

School of Chemical Engineering

Ecology, Environment and Conservation

Treatability study of slurry bioreactor technology for bioremediation of petroleum contaminated soil

The response reduction efficiency of passive control viscous dampers installed between adjacent structures subjected to blast-induced vibrations was investigated. The blast-induced vibrations studied were mainly due to mining activities along with the accidental explosions in underground storage chambers. Equations of motion formulated by different researchers in examining the performance of damper-connected structures were reviewed. Two different types of structures (similar and dissimilar buildings) were selected to analyse the effectiveness of damper-connected buildings. A parametric study was also conducted to determine the optimum damper placement locations along with optimum damper properties for the similar buildings connected with viscous dampers. The results showed the efficiency of viscous dampers for the case of similar buildings. For dissimilar buildings, the peak responses were found to be almost equivalent for both connected and unconnected structures. Therefore, the root mean square responses were evaluated to compare the effect of blast vibrations beyond the initial impulse for the case of connected dissimilar buildings. In addition, the performance of similar structures connected with the same damping was compared with the responses obtained from different damping conditions to minimise the damping coefficient of dampers.

School of Civil Engineering

Proceedings of the Institution of Civil Engineers-Structures and Buildings

Response control of adjacent structuressubjected to blast-induced vibrations

To calculate the response physical circuit for the unknown condition, it is necessary to understand the physical circuit using mathematical model. The mathematical model is useful in case of design the control system or fault detection system for the external circuit. The proposed system deals with implementation of the mathematical model of the physical circuit using artificial neural network algorithms on FPGA. In the proposed system, the circuit under test (CUT) is connected to FPGA. FPGA applied test pattern input to the physical circuit, generate the weights and calculate the activation function. As the testing inputs are applied to the FPGA after successful training, the outcome results of the system are logically similar with a comparison of the external test circuit. To reduce the Register transfer level (RTL) logic design Vedic multiplier and divider using subtract and increment method is implemented in proposed system.

International Journal of Applied Engineering Research

Optimized Mathematical Model of Digital Circuit using ANN on FPGA

Personality, a typical way of thinking, feeling, and behaviour. Personality embraces moods, attitudes and views and is expressed most obviously in relationships with others. It involves both intrinsic and acquired behavioural features that differentiate one individual from another and can be found in the relationships of people with the surroundings and with the social group. With the development of social networks, a broad variety of techn iques have been developed to identify user personalities based on their social activities and language usage practices. In terms of distinct machine learning algorithms, information sources and function sets, particular methods vary. Personality prediction has been an important research topic for describing user profiles and person not only in psychology but also in computer science. This paper presents a systematic survey of current work done of personality prediction from social networks. We also prepared a Comparison chart of existing techniques for personality prediction on the basis of relevant parameters. Based on this survey, we finally presented a few future research directions related to personality prediction.

Fulltext

International Journal of Recent Technology and Engineering (IJRTE)

Personality Prediction from Social Networks text using Machine Learning

International Journal of Innovative Technology And Exploring Engineering

Chemical Resistance of Nano Silica Added Concrete

The suspension systems currently in use can be classified as passive, semi-active and active. The passive suspension systems are the most commonly used due to their low price and high reliability. However, this system cannot assure the desired performance from a modern suspension system. An important improvement of the suspension performance is achieved by the active systems. Nevertheless, they are only used in a very reduced number of automobile models because they are expensive and complex. Another disadvantage of active systems is the relatively high energy consumption. The use of noise cancellation technique reduces the complexity and cost of the active suspension system. In this paper, a mathematical model of active suspension system is proposed using noise cancellation technique.