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A multistage centrifugal pump is a specific type of centrifugal pump featuring multiple impellers arranged in series on a single shaft. While a typical centrifugal pump uses a volute casing, a multistage pump employs a diffuser that serves a similar function. To guide the flow to the next impeller, a return passage channel is utilized. To conduct numerical flow simulations for multistage pumps, it is necessary to first perform an analysis of a single-stage pump and then further for the m...

Rolling element bearings are widely employed in the industrial and domestic machines and appliances due to their ease in mounting and efficient operational features. About 80% bearings found in the industrial machines happens to be the rolling bearings. Numerous factors contribute to the deterioration of these bearings, primarily including wear, ageing, environmental influences, improper installation, inadequate lubrication, and material fatigue. A defective bearing frequently leads to r...

The pursuit of precision and efficiency in manufacturing processes has driven the development of novel techniques to improve surface quality and reduce surface roughness in various industrial applications. This research explores the minimization of surface roughness induced after the surface grinding process on aluminium 7075 alloy (Al7075) workpiece surface through finishing with Ball End Magnetorheological Finishing (BEMRF) and Chemical Assisted Ball End Magnetorheological Finishing (C...

Stringent global environmental regulations have spurred research into alternative fuels. There had been a total of 216 medium (7-700 tonnes) oil spills and 55 large (> 700 tonnes) oil spills in the environment from 2000 to 2023, primarily caused by human negligence. These spills have significantly disrupted ecosystems, harming plant, animal, and human life. Despite its widespread use in automotive engines due to its availability, cost-effectiveness, and performance, mineral oil poses sev...

With the rise of the application of Machine learning in academia and industrial sector, clustering has become an important field of study. Clustering has been extensively used in studies involving unlabeled data, image processing and unsupervised learning. We have taken up the concept of clustering for our study and we have discussed the performance of two very popular and well used clustering algorithms and the application of clustering. The application of clustering has been discussed ...

Image description generation, an intricate cross-disciplinary work between com- puter vision and natural language processing (NLP), is intended to produce contex- tually precise and semantically rich textual descriptions of visual information. The proposed work is dedicated to filling significant research gaps in computerised image captioning by suggesting sophisticated deep-learning architectures that promote con- textual knowledge, semantic density, and generality across multimedia app...

The movement of vehicles on an unpaved terrain is a common requirement in many fields including agriculture, forestry, automobile, planetary rovers and defence. Other than surface topographical features, the most important parameter to the movement of vehicles is the underlying soil condition. Acquiring the data by conventional methods is laborious and cumbersome task. The alternative means have therefore been explored by various researchers. One of the most effective ways employed for ...

Diesel engines continue to hold a dominant position in the global energy and transportation divisions due to their high efficiency, robustness, and cost-effectiveness. According to the International Energy Agency (IEA), diesel engines account for over 40% of the energy used in global transportation and are pivotal in freight logistics, power generation, and agricultural mechanization. In India, diesel engines power approximately 70% of freight vehicles and over 60% of agricultural machine...

Univalent Function Theory (UFT) is a fascinating branch of Complex Analysis. The ele- gance of UFT lies in its ability to derive significant insights from relatively simple geometric considerations. Owing to its strong focus on geometric interpretations, UFT constitutes a fundamental part of Geometric Function Theory (GFT), where such geometric prop- erties play a central and significant role. The thesis provides a comprehensive study of subclasses of analytic functions, offering sharp c...

In this report, analysis of Junctionless Accumulation Mode Surrounding gate (JAM-SG) as a hydrogen gas detector has been done. JAM-SG with metal gate for gas sensing applications is proposed for the first time in this paper. A simulated model is developed for n-channel JAM-SG to observe the different electrical parameters of the device for different values of pressure [1]. Different simulated results such as surface potential, electric field and electron velocity have been analyzed at tw...

In today's competitive service industry landscape, ensuring efficiency and reliability in processes is paramount. Poka-Yoke, a lean manufacturing technique originating from Japan, offers a promising approach to error-proofing processes and enhancing service quality. However, its implementation in service industries faces numerous barriers that hinder its effective adoption. This thesis investigates the barriers to implementing Poka-Yoke in the service industry and employs a structural mo...

Analog signal processing involves manipulating continuous signals that vary in amplitude over time. This contrasts with digital signal processing, which deals with discrete signals shown by binary numbers. In analog processing, signals are manipulated using analog circuits, which can include components like resistors, capacitors, and operational amplifiers. Applications of analog signal processing can be found in various fields like audio processing, telecommunications, control systems, ...

In this project, Lung cancer remains an extremely important disease in the world that causes deaths. Early Diagnosis can prevent large amounts of deaths. Classifiers play an important role in detecting lung cancer by means of a machine learning set of rules in addition to CAD-based image processing techniques. For the classifier’s accuracy, there is the need for a good feature collection of images. Features of an image can help to find all relevant information for identifying disease. Fea...

Enhancing images is a fundamental step for most computer vision and other machine learning tasks, ensuring they are ready for subsequent processing. Underwater image enhancement plays a vital role in improving the visual quality of images affected by low light, color distortion, and scattering effects. Underwater haze and images taken in murky underwater environments often exhibit low visibility and poor contrast and complicates the process of retrieving meaningful details from images, o...

Following the pandemic, it has become clear how much better it is to wear a face mask in crowded and closed areas like bus and train stations or other public venues. Manually ensuring that people are wearing masks in these places is very difficult and costly. A Convolutional Neural Network (CNN) is used in this thesis for real-time detection of faces with masks on public transport. To start, the study collects and curates images that feature faces in various lighting, orientations, occ...

The Internet of Medical Things (IoMT) is transforming modern healthcare by enabling real-time monitoring, remote diagnosis, and smarter clinical decision-making. In our first study, we explored the evolving landscape of IoMT, highlighting its potential to improve patient outcomes through intelligent devices that collect and transmit medical data. While the adoption of IoMT is growing rapidly, one of the major challenges we identified is the presence of imbalanced and irrelevant data. The...

Agriculture is the golden thread that fastens all the sustainable development goals globally. Its profound relationship to the global economy, biodiversity, and human his- tory is unquestionable. The increasing environmental concerns have transitioned agricul- ture from conventional to sustainable practices. This transformation prioritizes ecological balance, long-term agriculture productivity, and natural resource conservation. However, plant stress and indiscriminate use of chemicals s...

Reverse Supply Chain is one way to handle product returns efficiently. With zero waste, it is considered one of the best strategies of circular economy to manage product returns. A circular economy seeks to reduce waste by reusing, refurbishing, and recycling used products and increases the product/resource value of used goods. The effective execution of circular strategies necessitates coordination among all channel members participating in the activities, from acquisition to collection...

In the present thesis, an attempt has been made to construct, apply, analyse and optimise higher-order hybrid parameter-uniform finite difference methods for solving singular perturbation problems involving a system of reaction-diffusion equations with shifts and integral boundary conditions. These problems commonly arise in the different fields of applied mathematics, for example, edge layers in solid me- chanics, aerodynamics, oceanography, rafted-gas dynamics, transition points in quan...