shivam Raj

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Aluminium Metal Matrix Composites: Manufacturing and Applications

IOP Conference Series: Materials Science and Engineering, 2021

Aluminium metal matrix composites(AMCs) is widely used in the industrial applications right now. ... more Aluminium metal matrix composites(AMCs) is widely used in the industrial applications right now. Aluminum metal matrix composites have properties that no other monolithic material can match. Due to their superior strength to conventional materials, aluminium matrix composites (AMCs) have a broad variety of industrial applications. The nature of reinforcing, that can take the form of constant or undefined fibres, has a big influence on the properties of aluminum metal matrix composites. Thus it depends on the fabrication methods for aluminium matrix composites, which are influenced by a number of factors including the type of reinforcement and matrix used, its required degree with surface morphology integrity, as well as physical, mechanical, electro-chemical, and thermal properties. This article provides an overview of the manufacturing processes and different reinforcing elements used during the synthesis of Al-MMCs. Generally, the reinforced particles like carbides, nitrides, and ...

Optimization of Mahua Biofuel Blend and Egr (Exhaust Gasrecirculation) for Control of Nox Emissions in Diesel Engines

Journal of industrial pollution control, 2017

Depleting fossil-fuel reserves all over the world and the environmentalimpact caused by them such... more Depleting fossil-fuel reserves all over the world and the environmentalimpact caused by them such as pollution and global warming are the driving factors which leads to the search for alternative fuel. Vegetable oils either as raw oil or in the form of methyl or ethyl esters are experimented as a substitute to diesel. This involves little or no engine modification.In this work, performance and emission characteristics of Mahua oil and its blends B10, B20, B30 areevaluated in a directinjection single-cylinder constant-speed diesel engine at varying injection pressures. It is seen that 20%Mahua oilblendand 200 bar injection pressuregives almost the same brake thermal efficiency with lowerunburned hydrocarbons, carbon monoxide and soot emissions but higher NOx (nitrogen oxides) emissionscompared to diesel fuel. EGR (Exhaust Gas Recirculation) is used to control NOx emissions. Percentageof EGR is varied to determine optimum EGR for 20% Mahua oil blend. The different rates of EGR are eva...

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Vertical feature pyramid networks

Smart Computing, 2021

Development and characterization of aluminium silicon carbide composite materials with improved properties

Materials Today: Proceedings, 2021

Survey Paper on Features and Security of Personal Cloud Storage Service Providers

Cloud computing holds the potential of eliminating the requirement of setting up highcost and com... more Cloud computing holds the potential of eliminating the requirement of setting up highcost and complex IT infrastructure for solutions and services. It provides flexible and scalable resources [1] for easy access and development through lightweight portable devices. In cloud computing the entire data resides on the networked resources, which can be shared over the internet [2]. The implementation and the extent of usability is limited for now, but is increasing over the period of time. The productivity can be increased by using the existing features of the cloud which is possible only after detailed study of the features, scope, security of the cloud and innovating a newer ideas to utilize the cloud to it’s full potential.

ExtraDet With Quad Feature Pyramid Networks

2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020

In this paper, we look at different architectures of feature pyramid networks and introduce a new... more In this paper, we look at different architectures of feature pyramid networks and introduce a new one, namely, QuadFPN. We apply this FPN technique to the popular EfficientDet and obtain an improvement in performance by a minimum of 1.2% mAP on COCO dataset on each of the models under 10 million parameters (D0, D1, D2). Thus, we present a scalable and an alternate technique similar to BiFPN.

A Study of Distributed File Systems

1-3Department of CSE, Ramaiah Institute of Technology, Bengaluru, India -------------------------... more 1-3Department of CSE, Ramaiah Institute of Technology, Bengaluru, India -------------------------------------------------------------------------***---------------------------------------------------------------------AbstractDistributed system plays an important role in analysis and processing of huge amount of data. It is used for large number of applications such as forecasting, real time data analysis, and various other scientific application. Distributed File Systems has emerged as one of the most effective and convenient solutions to the issue of handling computations with increase in the quantity of data. Distributed file system (DFS) is mainly aimed to enable clients to use a common file system which paves the way for sharing data and resources over physically distributed machines. Many distributed computing projects have tried to implement and design distributed file systems with distinct architectures and have provided with various functionalities with them. This paper trie...

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A critical review of AA 7075 alloy for the development of composite material with various reinforcement

Analysis of Convex Functions

Convexity is an old subject in mathematics. The �rst speci�c de�nition of convexity was given by ... more Convexity is an old subject in mathematics. The �rst speci�c de�nition of convexity was given by Herman Minkowski in 1896. Convex functions were introduced by Jensen in 1905. The concept appeared intermittently through the centuries, but the subject was not really formalized until the seminal 1934 tract Theorie der konverxen Korper of Bonneson and Fenchel.Today convex geometry is a mathematical subject in its own right. Classically oriented treatments, like the work done by Frederick Valentine form the elementary de�nition, which is that a domain K in the plane or in RN is convex if for all P;Q 2 K, then the segment PQ connecting P to Q also lies in K. In fact this very simple idea gives forth a very rich theory. But it is not a theory that interacts naturally with mathematical analysis. For analysis, one would like a way to think about convexity that is expressed in the language of functions and perhaps its derivatives. Our goal in this thesis is to present and to study convexity i...

Quantum Machine Learning: A Review and Current Status

Data Management, Analytics and Innovation

Quantum machine learning is at the intersection of two of the most sought after research areas—qu... more Quantum machine learning is at the intersection of two of the most sought after research areas—quantum computing and classical machine learning. Quantum machine learning investigates how results from the quantum world can be used to solve problems from machine learning. The amount of data needed to reliably train a classical computation model is evergrowing and reaching the limits which normal computing devices can handle. In such a scenario, quantum computation can aid in continuing training with huge data. Quantum machine learning looks to devise learning algorithms faster than their classical counterparts. Classical machine learning is about trying to find patterns in data and using those patterns to predict further events. Quantum systems, on the other hand, produce atypical patterns which are not producible by classical systems, thereby postulating that quantum computers may overtake classical computers on machine learning tasks. Here, we review the previous literature on quantum machine learning and provide the current status of it.

Application of quantum scrambling in Rydberg atom on IBM quantum computer

Quantum scrambling measured by out-of-time-ordered correlator (OTOC) has an important role in und... more Quantum scrambling measured by out-of-time-ordered correlator (OTOC) has an important role in understanding the physics of black holes and evaluating quantum chaos. It is known that Ry-dberg atom has been a general interest due to its extremely favourable properties for building a quantum simulator. Fast and efficient quantum simulators can be developed by studying quantum scrambling in related systems. Here we present a general quantum circuit to theoretically implement an interferometric protocol which is a technique proposed to measure OTOC functions. We apply this circuit to measure OTOC and hence the quantum scrambling in a simulation of two spin Ising spin model for Rydberg atom. We apply this method to both initial product and entangled states to compare the scrambling of quantum information in both cases. Finally we discuss other constructions where this technique can be applied. Measuring the magnitude of quantum chaos is an important fundamental problem which has several a...

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