EXPLORING THE ROLE OF DIGITAL TWINS IN ENHANCING OPERATIONAL EFFICIENCY AND DECISION-MAKING IN INDIAN MANUFACTURING FIRMS
Indian manufacturing companies are progressively implementing Industry 4.0 technologies to enhance the level of operational efficiency and the managerial decision-making process; nevertheless, there is limited empirical evidence of how the adoption of the Digital Twin (DT) affects performance, especially in the emerging economy environment. This re...
By Roohee Khan, Ashu Nayak
AI DRIVEN PREDICTIVE MAINTENANCE FRAMEWORK FOR MULTI-SENSOR INDUSTRIAL ROBOTS IN SMART MANUFACTURING
Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...
By Priya Vij, Ashu Nayak
BIO INSPIRED RECONFIGURABLE ANTENNA ARRAYS FOR ULTRA-LOW POWER BODY AREA COMMUNICATION NETWORKS
Bio-inspired reconfigurable antenna arrays may be one possible answer to the challenges of energy efficiency, capability, and stability in ultra-low-power Wireless Body Area Networks (WBANs). In this paper, a bio-inspired reconfigurable architecture for antenna arrays is proposed, which can adaptively change radiation patterns and impedance propert...
By Roohee Khan, Ashu Nayak
ARTIFICIAL INTELLIGENCE FOR OPTIMIZING ENERGY SYSTEMS IN SMART GRID ENVIRONMENTS
Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...
By Priya Vij, Ashu Nayak