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Design and Analysis of Vertical Pressure Vessel using ASME Code and FEA Technique
In this project we are designing a pressure vessel using ASME section VIII and Division 2, designing a closed container to find the required thickness of the shell, head, nozzle and leg support. Uniform thickness assigned to the entire vessel, Modelling of the pressure vessel is carried out using Pro-e 2.0; meshing is carried out using Hypermesh 6.1. Here we used 2D Quad element for the meshing, Analysis is carried out using ANSYS Software 11 for two different cases, working pressure and Maximum operating pressure, fatigue analysis is carried out, and the result is 106. Finally, theoretical validation is carried out for the entire model, And the results are within the limit. Published under licence by IOP Publishing Ltd. -
Design and Analysis of Vortex Bladeless Wind Turbine
Vortex bladeless turbine antiquates the conventional wind turbine and adopts a radically innovative and novel approach to captivate the moving wind energy. This device effectively captures the energy of vorticity, an aerodynamic instability condition. As the wind passes a structure, the flow steers and cyclical patterns of vortices are generated. Once the strength of wind force is suffice, the structure starts vibrating and reaches resonance. Vortex bladeless is a vortex induced vibration resonant power generator. It harnesses wind energy from a phenomenon of vorticity, called vortex shedding effect. Clearly bladeless technology consists of a cylinder fixed vertically on an elastic rod, instead of tower, nacelle and blades which are the crucial parts of a conventional wind turbine. The cylinder oscillates on a specifically mentioned wind range, which then generate electricity through an alternator and a tuning system. In this paper the vortex turbine is designed with certain existing parameters of dimensions in Solidworks and the same is analyzed for different materials and dimensions of mast, which is an important part in the vortex turbine. Also various performance parameters like displacement, frequency etc. are also compared among different models. 2021 Elsevier Ltd. All rights reserved. -
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Design and Development of A Generic Framework for Surface Water Delineation and Monitoring Using a Hybrid Level Set Algorithm on Landsat Multi-Spectral Data
Surface water bodies are critical to the existence and sustenance of civilizations. Water bodies in urban cities across the world have undergone drastic decline in quality and quantity. This has been the result of a multitude of reasons like increase in population, urbanization and encroachment. Monitoring changes to water bodies is a newlinenecessary requirement in devising strategies to conserve them. This thesis proposes newlinea generic framework for monitoring and forecasting changes in the surface area of newlinelakes using a hybrid level set algorithm for water body delineation followed by a double exponential smoothing model for forecasting. The proposed hybrid level set algorithm combines the advantages of edge based and region based level sets. An edge detection term is introduced into the formulation which improves the delineation accuracy by forcing the level set evolution to stop at the boundaries of the region of interest. The performance of the algorithm was analyzed using Pearson s Correlation Co-effcient (PCC), Structural Similarity Index (SSIM) and Dice Similarity index and found to have superior performance compared to established methods in the literature. The study uses Landsat multi-spectral data for the last 30 years to build the proposed framework for forecasting the changes in the surface area of water bodies. The experiments were conducted for nine lakes in Bangalore, a fast growing city in India, and a steady decrease in the surface area is observed for most of the lakes that were studied. The city s renovation attempts have also seen that the some of the lakes are sustaining the rapid urbanization. The proposed forecast model has yielded acceptable results with an average error of 0.22% and a correlation coeffcient of 0.94 between the actual surface area and the forecasted surface area. The framework can be customized in the future to study specifc water bodies by plugging in external newlineparameters to improve the forecasting accuracy. -
Design and development of a method for detecting sleep roll-over counts using accelerometer ADXL335
Sleep plays an important role as it helps human body to rejuvenate, boosts mental function and manage stress. Sleep is restorative function which enhances muscle growth, repairs tissues, maintains health and make physical appearance look or feel better. The lack of sleep in human body can increase the risk of diseases which are asthma, diabetes, depression. For healthy physiological function, sleep is essential and has strong relation to mental condition. Easy way of sleep management is considered for maintaining good mental health. Numerous scientists, doctors and researchers have proposed various ways to monitor sleep, some of those best tests are polysomnography test and actigraphy test. However, taking sleep test covering the whole body with wires and electrodes which is polysomnography test is uncomfortable for patients, and sensors used for different approaches like this are costly and often require overnight treatment and expert monitoring in clinics. Therefore, easy way of detecting roll-over movements which is convenient for patients to wear is proposed. Accelerometer ADXL335 sensor is taped on socks during sleep which is comfortable for patients to wear and do not cause any inconvenience during sleep. Algorithm is proposed to read the dataset and count the roll-over during the sleep based on threshold. Resulting the number of roll-over detected during a sleep period. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. -
Design and Development of Adaptive Authentication Model to Detect User Behavior Anomalies
The password-based authentication system has recently become more secure as the riskbased authentication system(RBA) is indentured. Recent research in the area has shown the significant use of 2 Factor Authentication (2FA) and Multi-Factor Authentication(MFA) in many commercial applications using Risk Based newlineAuthentication(RBA). The RBA system monitors the parameters extracted during the user login process, and based on the proposed model, the system raises a multi-factor newlineauthentication to the user. As the vulnerability has increased concerning passwords, fingerprints easy access to any web application may result in a security flow; the reason can be the existing methodology of the RBA system and also the unavailability of the data of the users during the initial login process, which hinders the authentication system during the initial login process as there is no standard method to incorporate RBA in the authentication system. Few researchers have proposed novel approaches to improve the authentication system. Still, to the best of our knowledge, no research has suggested methods to address the authentication system during the initial login process and also provide a robust way, a combination of Machine Learning (ML) and statistical newlineapproaches. Hence, a novel method is proposed for the RBA system during the initial newlinelogin phase using a Hierarchical Sub-Feature Based Model -(HSFBM) for different user newlinecategories. The FAR is comparatively better in our proposed model against the standard newlinemodel, with minimal re-authentication requests for the user. -
Design and development of an efficient model for handwritten modi script recognition
Machine simulation of human reading has caught the attention of computer science newlineresearchers since the introduction of digital computers. Character recognition, a branch of pattern recognition and computer vision, is the process of identifying either printed or handwritten text from document images and converting it into machinecoded text. Character recognition has been successfully implemented for various foreign language scripts like English, Chinese and Latin. In the case of Indian language scripts, the character recognition process is comparatively difficult due to various complexities such as the presence of the vowel modifiers and a large number of characters (class). MODI script is a shorthand form of Devanagari script and it was used as an official script for writing Marathi until 1952. Presently the script is not used officially, but has historical importance. MODI script is a cursive script and the character recognition task is difficult due to various reasons such as variations in the shapes of a character with different individuals and the presence of identical looking characters. MODI documents do not have any word demarcation symbols and that adds to the complexity of the task. The advances in various Machine Learning newlinetechniques have greatly contributed to the success of optical character recognition. newlineThe proposed work is aimed at exploring various Machine Learning techniques/ newlinemethods which can be effectively used in(to) recognizing(recognize) MODI script and newlinebuild a reliable and robust character recognition model for handwritten MODI script. This research work also aims at the development of a Machine Transliteration and text recognition system for MODI manuscripts. -
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Design And Development Of Artificial Intelligence Based Knowledge Management System For Managing Software Security Vulnerabilities
Software development practices play a signifcant role in building the world s future. It is the place where exciting technological evolution begins in the world. Exploration of critical challenges in the area of software development plays a signifcant role in fueling the pace of technological progression in the industry. This work focuses on exploring important areas of software development practices and problems faced by the industry. Understanding the critical parts of the software system development eco-system and the stakeholders associated with those will be important. Customers of software development teams, the software development industry and knowledge newlinesources, and the software development internal eco-system are the broad focus areas of study. Leveraging the data already spread across the eco-system and facilitating easy newlineaccess to practitioners as and when there is a need will be one of the primary focuses. newlineThe software development landscape module, customer landscape module, and industry landscape module are the key modules that will be explored in this work. The core aspiration of the work will be to integrate all the possible data across the industry newlineand process the same and make it easily accessible to the practitioners as and when they are needed. The process also makes the data smarter and more insightful over time. -
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Design and Development of Artificial Intelligence Knowledge Processing System for Optimizing Security of Software System
Software security vulnerabilities are significant for the software development industry. Exploration is conducted for software development industry landscape, software development eco-system landscape, and software system customer landscape. The focus is to explore the data sources that can provide the software development team with insights to act upon the security vulnerabilities proactively. Across these modules of software landscape, customer landscape, and industry landscape, data sources are leveraged using artificial intelligence approaches to identify the security insights. The focus is also on building a smart knowledge management system that integrates the information processed across modules into a central system. This central intelligence system can be further leveraged to manage software development activities proactively. In this exploration, machine learning and deep learning approaches are devised to model the data and learn from across the modules. Architecture for all the modules and their integration is also proposed. Work helps to envision a smart system for Artificial Intelligence-based knowledge management for managing software security vulnerabilities. 2023, Crown. -
Design and development of cognitive improvement through virtual reality based treatment using mathematical model
Virtual reality (VR) used in rehabilitation has the potential to enhance the quality of life for individuals with various medical conditions. As a result of this novel approach, there has been an increase in the number of individuals who are now giving their attention and actively engaging in rehabilitation programmes. This study aims to assess the effectiveness and advantages of virtual reality-based rehabilitation programmes in comparison to traditional educational methods for enhancing and strengthening talents. The creative capacity of VR was assessed through a study involving 50 participants who are going through regular traditional therepy methods. Virtual reality therapy enhances cognitive functions. As a result of the changes, there was a 30-40% increase in growth using proposed mathamatical model compared to traditional methods. The study revealed that the use of virtual reality-based personalised rehabilitation resulted in enhanced cognitive function and improved retention of knowledge among the participants. 2024, Taru Publications. All rights reserved. -
Design and Development of Dual Fuzzy Technique to Optimize Job Scheduling and Execution Time in Cloud Environment
Cloud computing is a type of computing that relies on sharing a pool of computing resources, rather than deploying local or personal hardware and software. It enables convenient, on-demand network access to a shared pool of configurable computing re- sources (e.g., applications, storage, networks, services, and servers) that can be swiftly provisioned and released with minimal management control or through the interaction of the cloud service provider. The increasing demand for computing resources in the cloud has made elasticity an important issue in the cloud. The availability of extending the resources pool for the user provides an effective alternative to deploying applications with high scalability and processing requirements. Providing a satisfactory Quality of Service (QoS) is an important objective in cloud data centers. The QoS is measured in terms of response time, job completion time and reliability. If the user jobs cannot be executed in high load and the job is crashed, it will enormously increase the response time and also push up the job completion time. Also due to load, the jobs may be still in the waiting queue and could not find a resource to execute. In such a situation, the user notices a big response delay and it will affect the QoS. Towards ensuring QoS, this research proposes the following solution - Dual Fuzzy Load Balancing for jobs. Dual Fuzzy Load Balancing balances the load in the data center with an overall goal of reduction of response and execution time for tasks. The proposed solutions were simulated in the Cloudsim simulator and performance metrics in terms of job response time, job completion time, resource utilization, a number of SLA violations, and along with the cost comparison to the existing algorithms of Load Balancing. The proposed solutions are also implemented in a real cloud environment and the effectiveness of the solution is evaluated. -
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Design and development of load balancing algorithm for enhance cloud computing performance
Software Applications have taken a leadership position in the field of Information Technology to reduce the human workload. In the case of distributed applications, the scalability of the application is a matter of newlineconcern in the present dynamic scenario. The fast developments in computing resources have reduced the cost of hardware and increased the processing capability of the system remarkably. Still, hosting a distributed newlineapplication in a higher end system is not recommended due to many reasons. Firstly, when there is a massive demand in the usage of the application which is beyond the limit of the system, there is no way to scale newlineit. The second reason is that when the system usage of the application is minimal, the entire infrastructure dedicated to the targeted application will remain idle. newlineDue to the wide acceptability of the industry on cloud computing, the variety of applications are designed to target the cloud platform which is one of the challenges for efficient load balancing in the cloud newlineenvironment. A fair distribution of workload among the available resources is mandatory to improve the efficiency of the cloud platform. To share the workload, a useful load balancing strategy, as well as a timely invocation of the plan, is essential. Invocation of the approach known as triggering policy can be different in centralised and distributed scenarios. Since cloud applications are running in a distributed situation, through this research newlinework, the researcher puts forward a complete framework for balancing load in different types of the request generated in Infrastructure as a Service (IaaS) platform. newlineAs a progressive model, this research work continuously focuses on improving the performance of the load balancer in the IaaS platform. Since the cloud data centres are spread across the globe, a centralised monitoring system to monitor and analyse the resource utilisation in different data newlinecentres is an essential requirement to see the load fluctuations in different clusters. -
Design and Development of Mobile Robot Manipulator for Patient Service During Pandemic Situations
Time and manpower are important constraints for completing large-scale tasks in this rapidly growing civilization. In most of the regular and often carried out works, such as welding, painting, assembly, container filling, and so on, automation is playing a vital part in reducing human effort. One of the key and most commonly performed activities is picking and placing projects from source to destination. Constant monitoring of patient bodily indicators such as temperature, pulse rate, and oxygen level and service of the patients becomes challenging in the current pandemic condition to the nurses and medical staffs. In consideration to this, a mobile robot with an integrated robotic arm has been designed and developed which can be available for service of patients continuously alongside monitoring them in general ward as well as in ICU of hospitals. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework
Typically, about 51% of the groundwater satisfies the drinking water worldwide and is regarded as the major source for the purpose of irrigation. Moreover, the monitoring and assessment of groundwater over bore wells is essential to identify the effect of seasonal changes, precipitations, and the extraction of water. Hence, there is a need to design a depth sensor probe for bore wells so as to analyze/monitor the quality of underground water thereby estimating any geophysical variations like landslides/earthquakes. Once the depth sensor probe is designed, the data is collected over wireless sensor network (WSN) medium and is stored in cloud for further monitoring and analyzing purposes. WSN is the major promising technologies that offer the real-time monitoring opportunities for geographical areas. The wireless medium in turn senses and gathers data like rainfall, movement, vibration, moisture, hydrological and geological aspects of soil that helps in better understanding of landslide or earthquake disasters. In this paper, the design and development of geophysical sensor probe for the deep bore well so as to monitor and collect the data like geological and hydrological conditions. The data collected is then transmitted by wireless network to analyze the geological changes which can cause natural disaster and water quality assessment. 2023 The Authors. Published by AnaPub Publications. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/) -
Design and Development of Teaching and Learning Tool Using Sign Language Translator to Enhance the Learning Skills for Students With Hearing and Verbal Impairment
This research paper presents a system designed for the students with verbal and hearing impairments by enabling realtime Sign-to-Text and Text-to-Sign Language conversion, with a specific focus on the Indian Sign Language (ISL). The proposed study aligns to the United Nations Sustainable Development Goal (SDG) of Quality Education. The system leverages cutting-edge technologies, MediaPipe for holistic key point extraction encompassing hand and facial movements, and Long Short-Term Memory (LSTM) architecture powered by TensorFlow and Keras for accurate sign language interpretation. This comprehensive approach ensures nuanced aspects of sign language, such as facial expressions and hand movements, are faithfully represented. On the receiving end, the system excels at Text-to-Sign Language conversion, allowing non-sign language users to interact naturally with sign language users through textual input transformed into sign language animations and Sign-to-Text conversion where the information from the sign language users is converted to text which ensures smooth communication. A user-friendly web application, developed using HTML, CSS, and JavaScript, enhances accessibility and intuitive usage for realtime communication. This research represents a significant advancement in assistive technology, promoting inclusivity and communication accessibility. It underlines the transformative potential of innovation infostering a more connected and inclusive world for all, regardless of their hearing abilities 2024 IEEE. -
Design and Development of Terahertz Medical Screening Devices
This paper highlights the prospect of design and development of a terahertz medical screening system, giving an overview of existing devices, systems, for THz spectroscopy and imaging of biological samples (e.g., cell, tissue imaging or screening). Considering the non-ionizing nature of THz waves along with its reasonable soft-tissue sensitivity, terahertz instrumentation has opened up possibilities for medical screening devices. Some THz imaging systems presently use raster scanning for calculation of image region of interest. Here, a particular system is proposed as a medical screening device and factors like signal-to-noise ratio, image resolution, image contrast, etc., have been described and correlated with relevant clinical results for exploring possible prospects in medical applications of terahertz waves. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks
In recent years, WiFi offloading provides a potential solution for improving ad hoc network performance along with cellular network. This paper reviews the different offloading techniques that are implemented in various applications. In disaster management applications, the cellular network is not optimal for existing case studies because the lack of infrastructure. MANET Wi-Fi offloading (MWO) is one of the potential solutions for offloading cellular traffic. This word combines the cellular network with mobile ad hoc network by implementing the technique of Wi-Fi offloading. Based on the applications requirements the offloading techniques implemented into mobile-to-mobile (M-M), mobile-to-cellular (M-C), mobile-to-AP (M-AP). It serves more reliability, congestion eliminated, increasing data rate, and high network performance. The authors also identified the issue while implementing the offloading techniques in network. Finally, this paper achieved the better performance results compared to existing approaches implemented in disaster management. Copyright 2021, IGI Global.