2024

Permanent URI for this collection

https://atlasuniversitylibraryir.in/handle/123456789/412

Browse

Browsing 2024 by Issue Date

Filter results by year or month
Now showing 1 - 20 of 48
  • No Thumbnail Available
    Item
    Topology Optimization and Static Structural Analysis of Modified Rigid Flange Coupling using NX
    (Advances in Mechanical and Aerospace Engineering, 2023) Kaushik, Naresh
    In recent years, Topology Optimization (TO) application has increased to develop design parts with high-performance while having lower weight than the conventional part. In industry, Siemens NX, one of the most widely used tool for designing purpose, is easy to use, suitable for general engineering and the most demanding CAE expert. This article aims to use NX for topology optimization to reduce the material cost by reducing the mass of the coupling. Article focous on the design of a modified rigid flange coupling in NX and performed Finite Element Analysis (FEA) in NX integrated Simcenter 3D for design validation. Topology Optimization in NX is used to reduce the mass of the coupling by applying the design constraints and load cases. The investigation results show that TO has reduced the flange’s 40-45 % mass. Thus, reducing the material cost to a greater extent.
  • Thumbnail Image
    Item
    Online abuse: a systematic literature review and future research agenda
    (International Journal of Conflict Management, 2024) Kumar, Sarika
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    Profit Pathways
    (Shine Book Publishing, 2024) Vaishnav, Jaimine; Mohammed, Shoaib
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    An optimized MCHVD approach to curtail handover failures in wireless networks
    (International Journal of Information Technology, 2024) Deepak, Shashikant
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    Multi-biometric fusion for enhanced human authentication in information security
    (Measurement: Sensors, 2024) Dikshit, Sukanya
  • No Thumbnail Available
    Item
    Core Competence of Successful Corporates
    (International Journal of Law Management & Humanities, 2024)
    Core Competence is the uniqueness of a company that makes it create new products and services to add value to the organisation. It is not easy for the other competitors to copy the company's core competence. Core competence is an organisation's efficiency in growing its business. This article highlights the skills required to identify and improve an organisation's core competence. Core competence differs from company to company. One organisation may have core competence in enhancing the quality of its products, and another organisation may have core competence in utilising the technology.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Impact of Social Media Marketing Activities: the Meditation of Social Identification and Satisfaction
    (Educational Administration: Theory and Practice, 2024) Chheda, Kajal
    The effects of social media marketing engagement, Consumer satisfaction and the moderating role of social identification Marketspace membrane, An exploratory study of the direct-to-consumer digital marketing strategy A survey method has been used with 500 participants of social media, and the data have been analyzed with the help of quantitative analysis as well as qualitative analysis of the survey data set. The data on the marketing activity exposure has been moderate and ranged from 1. 40 to 6. 60 with a mean score of 3. 68 while social identification ranged from 1. 30 to 5. 80 with a mean of 4. 02 and Satisfaction with a range of 1. 30 to 6. 60 with a mean score of 3. 95. Statistical regression analysis showed that the parsed variable of satisfaction has been positively associated with marketing activities, (β = 0. 432, p < 0. 001). Additionally, the mediation test in which the stepped model of SEM has been used also confirmed the hypothesized mediating role of social identification in the relationship between exposure to marketing and satisfaction (Standardized indirect effect = 0. 256, SE = 0. 02; p < 0. 001). Key findings of nature also included a call for relevance and relevance of posts when it comes to generating relevant reactions and shares among the customers. In sum, the research investigates the essential role of social identification in the entire process of how social media marketing activities enhance or reduce customer satisfaction.
  • No Thumbnail Available
    Item
    Contemporary Trends and Challenges and Advances, in the Manufacturing Industry, with a special focus on applications of Artificial Intelligence and Deep Learning
    (European Economic Letters, 2024) Grover, Pooja; Kumari, Sweta; Vaishnav, Jaimine; Mohammed, Shoaib
    In the last few years’ artificial intelligence (AI), has begun to make its appearance in our everyday life. Even though it is still in its early stage of development, AI has proved beyond human intelligence. DeepMind’s AlphaGo is an illustration of how the AI could provide amazing benefits, particularly in industries such as manufacturing. At the moment there are attempts to connect AI technology with precision engineering and manufacturing in order to change classical production methods. This research paper focuses on some notable milestones that have already been attained in the realization of AI for manufacturing and how it will change the face of any manufacturing facility. There are several challenges in the AI manufacturing application; these include data acquisition and management, human resources, infrastructure, security risks associated with trust issues as well implantation of hurdles. For instance, the collection of data required to train AI models can be challenging for rare events or expensive in large datasets that require labeling. The introduction of AI models into industrial control systems can also pose risks to the security, and some players in industry may be reluctant to use AI because they don’t trust it or understand what is going on. However, these hindrances do not deter AI from becoming an effective solution for predictive maintenance and quality assurance in the sector of manufacturing. Therefore, one should ponder over each manufacturing case and its needs before deciding if or how to adopt AI. The aim of this research paper is to analyze the current progress, problems and prospects in AI-ML across manufacturing entities. Its aim is to enhance knowledge of accessible technologies, support decision-making in choosing appropriate AI/ML technologies and determine where further research needs are possible centered on latest developments. Initial findings indicate that the combination of AI/ML technologies with advanced data collection capabilities from manufacturing networks can produce massive cost and efficiency gains. Though the accurate representation of complex phenomenon in manufacturing is problematic, AI can revolutionize this industry. Other areas where AI is intensively studied include medical image analysis, bioinformatics, recommendation systems and finance. Many notable AI products such as Amazon’s Alexa, IBM Watson and DeepMind AlphaGo have already integrated into our daily use. To address limitations such as interpretability and degraded performance with insufficient data, several sub-branches of deep learning are currently researched namely; Physics - Informed Deep Learning (PIDL), Explainable AI(XAI), Domain Adaptation, (DA) Active Leaning (AL), Multi Task Learning MTL, Graph Neural Network GNN. Convergence of AI with other engineering industries have a potential issue that should not be ignored. The aim is to enable an effective use of AI by the precision engineering and manufacturing community for future-oriented manufacture.
  • No Thumbnail Available
    Item
    Does Female on Board Affect M&A Participating Firms’ Performance? Empirical Evidence from India Using Dynamic Panel Data Analysis
    (The Indian Economic Journal, 2024) Kumar, Sarika
    The aim of this research is to examine the impact of gender diversity and female leadership position on the firm performance of Indian listed firms participating in mergers and acquisitions (M&A) activities. Available research has focused on a small sample of firms and considered ‘gender diversity’ as the only variable. Bearing this in mind, this study focusses on the leadership positions females hold on corporate board along with gender diversity affecting the firm performance measures for the sample of M&A participating firms, as M&As lead to major restructuring of the board. The ‘gender diversity’ is measured with the number of females present on corporate board as directors, ‘leadership position’ is measured with females holding the position either as Chief Executive Officer (CEO) or Chairperson on the board. The study employs panel data set for Indian non-financial National Stock Exchange listed M&A participating firms for the period 2013–2020. Using a system of GMM dynamic panel estimates, the study analyses the relationship between gender diversity and females’ varied leadership position on the firm performance measures, that is, return on asset, Tobin’s q. The findings reveal that there is a positive association between gender diversity and firm performance measures. Females holding the top leadership positions as either CEO or Chairperson on the board positively impact the firm performance measures. This study adds to the existing literature on gender diversity at the board level and M&A literature in the Indian context.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    Study of the Analysis of the Corrosion Resistance of Ti6Al4V and CoCrMo Metallic Alloys
    (International Journal of Vehicle Structures & Systems, 2024)
    In the automobile, aerospace and other sectors, the use of titanium has enabled several types of applications. Understanding its fundamentals is necessary not only to identify the corrosion mechanisms, but also to prevent it through appropriate protection techniques and to predict the behavior of corrosion in metallic materials under service conditions. Understanding corrosion mechanisms is a key to develop a knowledge-based design of corrosion-resistant alloys and predicting the long-term behavior of metallic materials in corrosive environments. This paper analyzes the corrosion resistance of metallic alloys Ti6Al4V and CoCrMo when immersed in electrolytic solutions. In addition, this paper studies the possible corrosion effects caused by temperature, pH and immersion time conditions and carry out electrochemical tests such as: OCP; ECIS and polarization curve. From the obtained data, observe the behavior of Ti6Al4V and CoCrMo alloys.
  • No Thumbnail Available
    Item
    Kalam and Lincoln – The Motivating Legends
    (International Journal of Business and Economics Research, 2024) Jaffar. Mohamed
    This article narrates the biography of great leaders APJ. Abdul Kalam and Abraham Lincoln. It includes the profile about their family background, positions held, books published, achievements and last days of life. The purpose of choosing these particular two leaders lies in the uniformity of their family background and achievements. Both the leaders occupied the President position of great democratic countries. The lesson from their life is how a zero can become a hero. Let's discuss this in detail.
  • No Thumbnail Available
    Item
    AgroScan : Crop Identification Application using Artificial Intelligence Approach
    (Nanotechnology Perceptions, 2024) Meher, Kunal
    Artificial intelligence (AI) has the potential to revolutionize agriculture, particularly in the realm of crop analysis. AI-based systems can accurately identify crops in images, even under challenging conditions such as low light or shading. These systems have numerous applications, including crop monitoring and management, precision agriculture, and food safety and security. The goal of this research paper is to develop a robust, accurate, and efficient AI-based crop identification system. The system will be trained on an extensive dataset of crop images to identify various crops and detect certain diseases in new images. To evaluate our system's performance, we will compare it against new and emerging methods using a held-out test set. This study aims to develop an AI-driven crop identification system that will benefit farmers and other stakeholders in the agricultural sector by improving crop yields and quality, reducing costs, minimizing environmental impacts, and enhancing food safety.
  • No Thumbnail Available
    Item
    Machine Learning Predication Techniques for Student Placement Job Role Predictions
    (Nanotechnology Perceptions, 2024) Meher, Kunal
    Placements is of endless importance for university students and educational institutions. It helps students build a solid foundation for their future careers and ensure a good enrollment record that gives them a good advantage in school or university. Machine learning is an analytical method that establishes analysis patterns. This article describes the features of the machine that can predict whether a student will see or not, as currently it only depends on the student's qualification, age and experience. The predictor uses three machine learning algorithms: Decision Tree, Naive Bayes, and Random Forest are used. The algorithms are then assessed according to the accuracy of the predictions.
  • No Thumbnail Available
    Item
    Voice Based E-Mail System for Visually Impaired People
    (Nanotechnology Perceptions, 2024) Meher, Kunal
    This article talk about the internet and other technological advancements, communication has been easier in recent years. However, visually impaired persons find it difficult to use this equipment. Despite the fact that numerous new developments have been incorporated to assist them in effectively using the computer, this requires some expertise with the current technology. This study aims to develop an email system that will allow even the most unskilled visually impaired person to interact using the services without any prior training. The system provides the user with a voice based assistant which helps users to perform basic tasks related to handling email by giving voice commands thus providing a user friendly and interactive experience to the users.