NONLINEAR STATIC ANALYSIS OF RCC SPACE FRAME ON SLOPING GROUNDS INCORPORATING SSI
This paper presents a comprehensive investigation into the seismic performance of a G+5 reinforced concrete spaceframe subjected to pushover analysis. The analysis incorporates the critical influence of soil-structure interaction on varying slope inclinations. A nonlinear static pushover method is utilized to examine the lateral loading streng...
By Tushar Golait, Neeraj Tiwari, Manjeet Singh Hora
BATTERY MANAGEMENT SYSTEM FOR ELECTRIC VEHICLE USING ARTIFICIAL INTELLIGENCE AND IOT TECHNOLOGY
With the rapid advancement in electric vehicle (EV) technology, efficient battery management has become crucial for enhancing performance, safety, and longevity. This research integrates Internet of Things (IoT) and artificial intelligence (AI) technology to provide a revolutionary solution to battery management in electric vehicles. Our suggested ...
By R. Ramya, V. Ramya, J. Jaganpradeep, M. Balamurugan, P. Murugesan
EXPLORING ABG IMBALANCES IN ICU PATIENTS USING MACHINE LEARNING SUPERVISED ALGORITHMS
Arterial Blood Gas (ABG) analysis is an important diagnostic tool in intensive care unit (ICU) settings that provides valuable information about the patient's respiratory and metabolic status. However, in the absence of predictive information, when testing is over-utilized or not planned, it can cause discomfort to the patient, costs to the healthc...
By S. Ramadoss, A. Kumaravel
DATA SECURITY AND PRIVACY PROTECTION MECHANISM FOR POWER GRID SUPPLY CHAIN BASED ONDUAL-CONSORTIUM BLOCKCHAIN ARCHITECTURE AND IMPROVED BGN ALGORITHM
In the process of multi-party collaborative data sharing, the power grid supply chain system often faces security risks such as data islands, privacy leakage and tampering risks. It is urgent to establish a security management mechanism that takes into account efficiency and credibility. To this end, this study proposes a power grid supply chain da...
By You Wen, Mingjun Tang, Yijun Yang, Hong Luo
NEXT-GENERATION SMART TRAFFIC MANAGEMENT SYSTEMS FOR REDUCING CONGESTION IN INDIAN METRO CITIES
In fast-developing Indian cities, congestion is a significant concern, as travel times are much longer, the environment is negatively affected, and infrastructure is overstretched. Conventional traffic management systems tend to be ineffective at addressing such problems because they rely on fixed traffic lights and lack data inputs. This paper pre...
By Anjali Goswami, Anjali Krushna Kadao
INTEGRATED STRATEGIC FINANCIAL AND OPERATIONS MANAGEMENT FOR TECHNOLOGY INTENSIVE MANUFACTURING FIRMS
Manufacturing systems that are technology-intensive have high interdependencies between financial decisions on investments, the change in production capacity, and operational efficiency. Traditional methods tend to look at financial and operational planning in isolation, resulting in poor performance of the system and poor use of resources. In orde...
By Megala Rajendran, Yokubbaeva Umida Abduvakhob kizi, Kosimov Khusniddin Badriddinovich, Ergashev Rasulbek Sokhib ugli, Iplina Antonina Aleksandrovna
INNOVATIVE ENERGY STORAGE SOLUTIONS FOR ENHANCING RENEWABLE ENERGY EFFICIENCY
Energy storage has been central in improving the effectiveness and sustainability of renewable energy systems. With the increased penetration of renewable energy sources like solar energy and wind energy, the intermittent nature of these sources prompts a need to consider the incorporation of highly developed storage energy technologies in order to...
By Shinki Katyayani Pandey, Mariyam Ahmed
DRIVING SCM AND HR TRANSFORMATION WITH AI THROUGH THE ROLE OF LEADERSHIP AND INNOVATION AS MEDIATORS
Due to the fast adoption of digital technologies and artificial intelligence (AI), the operations of enterprises, especially in the context of supply chain management (SCM) and human resource (HR) practises, are being fundamentally reorganised by allowing data-driven decision-making, automating processes, and enhancing agility to organisational cha...
By Sureshkumar Somanathan, R. Harsha, Sherzod Khalilov, Anvar Khudoyarov, Samariddin Makhmudov, Pallapati Ravi Kumar, Rajinder Kumar
DIGITAL TWIN–BASED INTELLIGENT MONITORING OF INDUSTRIAL SYSTEMS USING EXPLAINABLE AI
Industrial systems increasingly rely on Industrial Internet of Things (IIoT) sensors for real-time monitoring and predictive maintenance. However, most existing digital twin–based monitoring solutions depend on static or black-box machine learning models, limiting interpretability, operator trust, and safe deployment in safety-critical enviro...
By R. Kousalya, V. Radhika, C. Thangamani, V. Deepa, Laxmi Basappa Dharmannavar
MANUFACTURING FEASIBILITY AND INDUSTRY READINESS FOR INDIGENOUS AUTO-RETRACTABLE SINGLE-USE SYRINGES IN INDIA: AN EMPIRICAL STUDY TO PREVENT NEEDLESTICK INJURIES AND BLOOD-BORNE INFECTIONS
Needlestick injuries (NSIs) are an ongoing workplace risk associated with healthcare facilities and this risk is even more pronounced in the developing economies where the traditional disposable syringes are still in use as a method of therapy. Even though the use of safety-engineered syringes has been globally endorsed to minimize the occupational...
By Girish Kumar Kuppireddy, Kamineni Saradhi