Journals
2026 EN
Sahu Shriya · Verma Prerna
Energy-efficient task scheduling and load balancing in dynamic cloud computing environments remain critical challenges due to unpredictable workloads and high energy consumption. This study proposes a novel hybrid AI-driven framework that synergistically integrates Multi-Agent Collaborative Reinforcement Learning (MACRL), the bio-inspired Salp Swarm Algorithm (SSA), Neuroevolution of Augmenting Topologies (NEAT), Energy-Aware Task Scheduling with Deadline (EATSD), Merging Multiple Fused Learning Data Elements (MMFLDE), and Zeroth-Order Optimization (ZOO) to optimize resource allocation and energy consumption. The EATSD mechanism combined with NEAT enables adaptive and energy-efficient task scheduling by evolving neural network architectures. Simulation results conducted in MATLAB demonstrate that the proposed method achieves a superior efficiency score of 95% and an energy efficiency value of 2.26 bits per joule, surpassing existing approaches in energy savings, task completion times, and resource utilization. The novelty of this work lies in the synergistic integration of multiple advanced AI techniques into a unified framework addressing energy-aware task Unlike prior approaches focusing on individual algorithms, this hybrid method leverages complementary strengths to optimize resource allocation, adapt workload fluctuations, and minimize energy consumption, delivering enhanced performance and scalability. This comprehensive framework addresses limitations of individual methods and offers a significant advancement toward sustainable and intelligent cloud infrastructure management.
Resource
2026 EN
Sahu Shreepreet · Sahu Prasant Kumar
Free-Space Optical (FSO) communication offers a number of advantages like high capacity, low latency, and spectrum flexibility for backhaul and access links, which makes strong contender for acting as a key enabler for fifth-generation (5G) and beyond 5G communication networks. However, its extensive and large-scale deployment remains challenged by atmospheric turbulence, weather conditions, system complexity, and link reliability issues. This review presents a detailed study on FSO technologies and their possible application for next-generation communication applications. It discusses advanced concepts such as artificial intelligence and machine learning (AI/ML) for adaptive control of hybrid links, software-defined networking (SDN), and network function virtualization (NFV) for dynamic resource management, as well as an insight into unmanned-aerial vehicle/High altitude platforms (UAV/HAP)-assisted FSO links for extended coverage. The study also presents the energy-efficient architectures, quantum FSO systems, and reconfigurable intelligent surface (RIS)-based optimization approaches. In addition, the paper analyses the atmospheric impairments, tracking and security challenges, and major channel modelling techniques, highlighting the performance trade-offs in different turbulence conditions. A simulation study using Optisystem 22.1 compares the performance analysis using log-normal and Gamma–Gamma scintillation models under varying turbulence conditions, range performance, and Q-factor degradation. Finally, a comparative analysis of existing literature identifies the major achievements, limitations, and research gaps, offering a method for practical FSO deployment in 5G, B5G, and for 6G networks and guiding the development of future hybrid optical-wireless architectures.
Journals
2026 EN
Panda Swasti Bachan · Sahu Dibya Ranjan · Mohanty Sanjeeb
Contingencies such as generator or transmission line outages can overload adjacent lines and push the power system toward cascading failures. Generator outages further reduce available generation, leading to voltage depression, loss of synchronism, and overall system instability. Integrating renewable energy sources (RES) at strategically selected network locations can mitigate these issues by supplying active and reactive power where needed. This study investigates optimal siting and sizing of RES to enhance voltage stability in stressed power systems. A Climbing Plant Optimization (CPO) approach is employed to minimize the Reduced Fast Voltage Stability Index (RFVSI) and transmission losses while improving system voltage profiles. Results show that appropriately placed RES significantly increase power transfer capability, reduce losses, and strengthen bus voltages. The findings demonstrate the effectiveness of CPO in identifying high-quality RES integration strategies and highlight its potential for supporting more sustainable and reliable power system operation.
Resource
2026 EN
Gupta Jyoti Prasad · Sahu Mukul Kumar · Dwarakish G. S.
+1 more
Hydrodynamic models simplify natural water systems, aiding in water resource management by simulating water movement in various bodies. They are essential for flood forecasting, hazard mapping and decision-making. Despite challenges in predicting floods due to complex terrain and drainage patterns, ongoing research aims to improve model accuracy. This paper reviews state-of-the-art hydrodynamic models, evaluating their application based on parameters like accessibility, time and space discretization. It focuses on one-dimensional (1D) and two-dimensional (2D) models, including coupled 1D–2D models within the HEC-RAS framework, highlighting HEC-RAS as an effective tool for flood modelling. The integration of hydrological and hydraulic models offers a comprehensive approach to flood forecasting and mitigation. This study guides researchers in model selection for specific catchments and assists water resource managers and policymakers by summarizing key hydrodynamic research and sustainable development strategies.
Journals
2026 EN
Swain Jyotiprakash · Mohanty Asutosh · Behera Subhrakanta
+2 more
The primary objective of the proposed investigation is to develop simple and compact multi-port antenna configuration featuring contorted ground topology (CGT) with the goal to offer broadband same-sense circular polarization (SSCP). With the intuition to imitate CP waves, we have initially proposed a 1-element antenna aided by an offset monopole feed and slot-based CGT. For broadband 10-dB impedance matching and a wide 3-dB axial ratio bandwidth, the ground topology asserts an offset ellipse with diagonally truncated slots at one end and 45$^0$ 0contorted stubs at the other end. The #1-element antenna performance shows 65.73% 10-dB IBW and 45% 3-dB ARBW. The rational counterparts show good convergence in design parameters to mimic a 4-port MIMO antenna design. The #4-element configuration asserts independent offset monopole elements and the ground topology assisted by rotationally symmetric contorted elements embeded into the slot assembly. To isolate the CGT elements, a vertical stub is centered to yield consistent 10-dB IBW, 3-dB ARBW, and isolation parameters. A prototype 4-port MIMO antenna of dimension 44 mm$ $ ×44 mm$ $ ×1.6 mm has been fabricated and experimented to operate from (4.5–9.6) GHz with 72.3% 10-dB IBW, 3-dB ARBW of 51.16% sweeped from (4.8–8.1) GHz, isolation magnitude$ \gt $ > 17.5 dB and a realized gain$ \gt $ >(4–7) dBic. The diversity parameters are also computed to leverage for signal multiplexing and the overall potential outcome shows its potential for super extended C-band applications.
Journals
2026 EN
Rajagopal Kanagaraj · Mohan Vignesh · Sharma Monika
+6 more
This study investigates the impact of the third phase of the odd–even vehicle scheme on particulate matter (PM) concentrations at four traffic intersections in Delhi: Pitampura, Panchkuian Road, Najafgarh Road, and DTU Road. Parameters include PM 10 , PM 2.5 , PM 1 , and fine particles (inhalable, thoracic, and alveolar). Significant reductions in PM concentrations were observed, particularly on odd days. At Pitampura, for example, the maximum PM 10 concentration recorded was 446 µg/m³ on a normal day, which reduced to 168 µg/m³ on an odd day (p < 0.05). The study reveals spatial variability in PM reduction, with more substantial decreases in city center locations. For instance, PM 10 levels in Panchkuian Road reduced from 328.8 µg/m³ on a normal day to 262.6 µg/m³ on an odd day (p < 0.01). Meteorological parameters remained consistent, confirming that observed reductions were primarily due to the odd–even scheme. These findings underscore the scheme’s effectiveness in improving air quality, particularly in areas with high vehicular traffic, demonstrating a 41–49% reduction on odd days and 18–48% on even days for different PM sizes. This study highlights the need for targeted policies to address vehicular emissions and provides evidence supporting the odd–even scheme as a viable strategy for air quality improvement in urban environments.
Journals
2026 EN
Rao N. D. · Sadangi J. K. · Barik K.
+4 more
The rheological properties of iron ore tailings are essential to explore carefully for their sustainable applications in transport and disposal. The complex nature of tailings flow arises due to slurry concentration, fine particles, a wide particle-size distribution, and a diverse mineralogical composition. This study investigated and compared the rheological behavior of Indian iron ore tailings at various slurry concentrations, both with and without the addition of a flocculant, and its correlation with the tailings’ mineralogical characteristics and particle behavior. An iron ore tailing of Fe(T): 41.32%, SiO 2 : 36.57%, Al 2 O 3 : 1.65%, and LOI: 2.29% was taken for the current study, which contains 16.89% goethite & 4.17% kaolinite, and D 80 : 265 μm & D 50 : 66 μm. Rheological experimentations were conducted under varying slurry concentrations. The increase in slurry viscosity, shear stress, and strain with increasing solid concentrations was attributed to the population of particle-particle opposing relative motion and ore mineralogy. At low shear rates, the tailings slurry showed shear-thinning behavior. However, after a shear rate of 20 s −1 for all solid concentrations, it transitioned from shear thinning to a shear thickening behavior. The yield stress increases suddenly after 40 Wt.% of the slurry. The rheological behavior of the current slurry exhibits more Herschel–Bulkley fluidic properties than those of a Bingham plastic. The yield stress and apparent viscosity increased several times after adding a polyacrylamide flocculant to the same iron ore tailing slurry. However, once this threshold stress limit was exceeded, the slurry exhibited linearity in its shear stress and shear strain profiles, trending toward that of a Bingham fluid. An empirical correlation model was developed to calculate slurry viscosity by modifying previously available equations, incorporating ore mineralogy, with a root mean square deviation of 1.24. The current findings offer insights for pipeline design, slurry management, and promoting the sustainable utilization of Indian iron ore tailings.
Resource
2026 EN
Das Sneha · Kumar Umesh · Srivastava Hemlata
+2 more
Each year, the Earth loses around 24 billion tons of topsoil, in which HM contribute around 60% of soil pollution, causing crop damage and health issues. This challenge can be effectively answered by the process of phytoremediation. Phytoremediation, a plant-based approach, presents an eco-friendly and cost-effective solution. In this process, the plant can destroy the contaminants and pollutants from soil and groundwater that indirectly enrich the beneficial microbes and maintain the fortification of the soil. This review discusses molecular mechanisms, including gene families ( NRAMP, HMA, ZIP ) involved in heavy metal (HM) uptake, proteomic pathways (e.g. phytochelatins) and ionomic interactions, alongside advancements in nanotechnology. Additionally, advancements in nanotechnology to enhance phytoremediation efficiency are explored. This review highlights the role of genetic engineering and nanotechnology in improving plant-based remediation strategies. Future research should focus on optimising transgenic plant models and integrating nano-assisted phytoremediation for large-scale applications in environmental management.
Journals
2026 EN
Sahu Atul · Shivarama J.
This study presents a bibliometric analysis of publications on Information Literacy (IL) within the context of libraries. Bibliographic data were retrieved from the Web of Science (WoS) database from 2008 to 2024 using a targeted search strategy. The analysis examined multiple dimensions, including publication growth trends, highly cited works with SCImago Journal Rank and Journal Citation Indicator scores, leading journals, prolific authors, author and country co-authorship networks, and keyword patterns. A total of 2,497 documents were retrieved, of which 539 relevant records were analysed after refinement. Open-source tools such as VOSviewer and Biblioshiny were employed to conduct the analysis. The findings indicate a steady increase in IL literature over the study period, with a notable peak in 2016. M. Pinto (University of Granada, Spain) emerged as the most productive author by publication count, while Heidi Julien (University at Buffalo, USA) ranked highest in citations. The Journal of Academic Librarianship was identified as the leading publication venue, and the USA was the most prolific contributing country. Frequently occurring keywords included “information literacy,” “media literacy,” and “academic libraries,” reflecting current research interests. The study offers valuable insights for researchers, highlighting key contributors, institutions, countries, and thematic trends, while identifying potential directions for future IL research.
Journals
2026 EN
Sarkar Ritwik · Oram Summit Kumar · Kumar Satyam
Natural magnesite is the primary source for the production of basic refractories and also has certain other industrial uses. India possesses significant magnesite reserves, particularly in the Salem and Almora regions. However, the presence of impurities such as lime, silica and iron oxide in these deposits restricts their use in high-temperature applications. In the present work, the microstructural development and sintering behaviour of dead-burnt fine Almora magnesia is studied between 1550° and 1650°C, and also in the presence of 2 wt% of Al 2 O 3 , Cr 2 O 3 and ZrO 2 . The sintered products were evaluated for densification, strength and thermal shock resistance studies. Also, phase analysis and detailed microstructural evaluation were done. Calcium-containing multicomponent silicates are found to form from the impurities in the matrix part, affecting the properties. Al 2 O 3 addition did not show much benefit, but Cr 2 O 3 and ZrO 2 additions showed reduction in the low melting phase in the matrix and significant enhancement in thermal shock resistance for Cr 2 O 3 containing spinel and tetragonal ZrO 2 phase formation, respectively.