PRIORITY SWITCHING BASED ENERGY STORAGE AND MANAGEMENT SCHEME FOR SOLAR POWERED GRID INTEGRATED SYSTEM
This article includes the design, performance assessment, and cost analysis of an 83.2 kWp rooftop solar PV-powered grid-integrated microgrid at a Government Girls Polytechnic institute in Lucknow, India. The evaluation of performance was based on PVsyst software and one year of net-metering real-time data according to the IEC-61724 requirements. L...
By Raghvendra Kumar Yadav, Mohammad Atif Siddiqui
COGNITIVE LOAD OPTIMIZATION IN AUGMENTED REALITY ASSISTED VOCABULARY ACQUISITION FOR NEURODIVERGENT LANGUAGE LEARNERS
Neurodivergent language learners, including those with differences in attention regulation, sensory processing, and other measures, typically experience higher levels of intrinsic and extraneous cognitive load during vocabulary acquisition, leading to poorer vocabulary retention and slower semantic integration. The proposed study applies the Cognit...
By Saida Makhkamova, Yulduz Mehmonova, Azizakhon Khoshimova, Sevara Zokirova, Dildora Nuraliyeva, Subhida Jabborova, Shaxodat Axmedova
THE ROLE OF RISK PERCEPTION IN MEDIATING THE RELATIONSHIP BETWEEN DEMOGRAPHIC CHARACTERISTICS AND DRIVING BEHAVIOR IN INDONESIA
This paper explores the mediation effect of risk perception between demographic characteristics and motorized vehicle users' driving behavior in Indonesia. Driving behavior was evaluated on three categories: violation, error and lapse. A Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for data analysis, which was carried out o...
By Bambang Hermanto, Leksmono Suryo Putranto, Dadang M. Ma'soem
SCALABLE RESOURCE SCHEDULING FOR VIRTUAL POWER PLANTS USING MULTI-AGENT DEEP Q-NETWORKS FOR OPTIMIZED DISTRIBUTED ENERGY RESOURCE MANAGEMENT
The increasing integration of Distributed Energy Resources (DERs) within modern power systems requires Virtual Power Plants (VPPs) to adopt intelligent, adaptive, and scalable scheduling mechanisms to ensure efficient, reliable, and economically optimal operation. This research proposes a hybrid reinforcement learning–based framework that com...
By Srinivasa Rao Sureddy, Nageswara Rao Pulivarthi
CITATION IMPACT PREDICTION USING MULTI CHANNEL FUSION FRAMEWORK
Citation impact prediction is complicated by the limitations of previous methods of prediction that are constrained to individual information channels such as textual features, citation networks, or bibliometrics. In this study, proposes a Multi-Channel Fusion Framework that leverages semantic, structural, and contextual information to predict cita...
By Zahraa Yahya Mahdi Al-Mayali, Salam Al-augby
SUSTAINABLE LEADERSHIP ENHANCING ORGANIZATIONAL RESILIENCE THROUGH EMERGING TECHNOLOGIES IN VUCA ENVIRONMENTS
The growing complexity and unpredictability of environments characterized by Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) made organizations realize the necessity of improving their resilience through the implementation of sustainable leadership practices and technologies. Although these areas have been studied independently, there is ...
By S. Saranya, S. Benneet, S.G. Yogesh, G. Kalpana, R. Thiyagarajan
CHEMICAL PROPERTIES OF CLAY SOIL IN DIWANIYAH, IRAQ, AND THEIR ENGINEERING IMPLICATIONS
Characterizing clay soils in Diwaniyah, Iraq, is important because differences in mineralogy, salt content, and chemical composition can significantly affect the swelling tendency, strength, compressibility, and overall performance of foundation and subgrade soils for pavements. In this context, this research focuses on the study of chemical proper...
By Sura A. Saadoon, Ali A. Al-Robay
TIMURID ARCHITECTURE AND THE GOLDEN AGE OF CENTRAL ASIAN MONUMENTAL DESIGN
The Timurid period (1370–1507) was a foundational age in the history of Central Asian monumental architecture, an age that was marked by outstanding architectural accomplishment and the intersection of Persian, Mongol, and Islamic artistic cultures. This research examines the historical context, cultural significance, and innovative strategie...
By Nodira Nurullayeva, Abdurahim Mannonov, Nodira Babadjanova, Nasiba Isakhojaeva, Maqsad Maytakubov, Gulzoda Tashmatova, Khikmatoy Madikhanova
GA-PSO-MIN: A HYBRID HEURISTIC ALGORITHM FOR MULTI-OBJECTIVE JOB SCHEDULING IN CLOUD COMPUTING
Due to the variable resource availability and diverse user needs, efficient task scheduling in cloud computing has become increasingly important. This study introduces GA-PSO-Min, a novel approach that synergistically combines genetic algorithms (GA), particle swarm optimization (PSO), and Min-Min strategy to improve scheduling efficiency in cloud ...
By Vahid Mokhtari, Nasser Mikaeilvand, Abbas Mirzaei, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz
PYTHON-DRIVEN ADAPTIVE TESTING ALGORITHMS FOR PERSONALIZED ASSESSMENT IN E-LEARNING PLATFORMS
The recent advancement in e-learning systems has highlighted the need for more tailored and effective methods of assessment. The e-learning system has become increasingly common in society; however, it comes with its own unique challenges. This study explores the development of an adaptive testing framework implemented in Python, utilizing algorith...
By Ankita Sappa