Search
175 articles for “Scalability”
-
A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 Read article
-
Rural electrification through micro-grid design case study
Abstract: We introduce the design and experimental demonstration of a scalable DC micro-grid for rural electrification in the developing regions. The distributed control of the grid voltage is one of the main features of the DC micro-grid architecture, which allows both instantaneous power sharing and a metric for available grid power. A droop-voltage power-sharing scheme is utilized wherein the bus voltage decreases in response to low supply/high demand. Besides that, the …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
-
AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
-
A Comprehensive Review of the Development of Magnesium Composites and the Effect of Nanomaterials on Tribo-Mechanical Performance in Automotive Applications
Abstract: Abstract Magnesium and its alloys have emerged as promising lightweight materials for the automotive industry owing to their extremely low density, high specific strength, and potential to significantly improve fuel efficiency and reduce emissions. Despite these advantages, the widespread structural and functional application of magnesium alloys remains limited due to inherent challenges such as insufficient mechanical strength, poor wear resistance, low hardness, and high susceptibility to tribo-corrosion under severe service …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 1–14 Read article
-
AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
-
Automated Pet Feeder
Abstract: Maintaining regular feeding regimens for pets can be a challenging task for many pet owners, especially in today’s fast-paced and demanding lifestyle. To address this issue, this project introduces a smart pet feeder powered by the ESP8266 NodeMCU, a Wi-Fi-enabled microcontroller that facilitates Internet of Things (IoT) applications. The system allows pet owners to remotely manage and automate feeding schedules, ensuring timely and accurate meal delivery even in their absence. …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
-
Emerging trends and challenges in telecommunications: a review of 5G/6G, softwarization, edge intelligence, IoT security and enabling technologies
Abstract: Telecommunications research over the last decade has accelerated from the deployment and optimization of 5G to early explorations of 6G, driven by demands for extreme data rates, ubiquitous low-latency connectivity, massive device density and novel services such as extended reality (XR) and holographic communications. This review synthesizes recent developments across six interlocking technology areas: radio access and physical-layer advances (5G/6G), network softwarization (SDN/NFV), edge and cloud-native architectures, artificial intelligence for …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 38–43 Read article
-
Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
-
IoT-Based Battery Management System for Electric Vehicles
Abstract: Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
-
Bio-stimulation with Fresh Avocado Seed for Crude Oil Remediation: Experimental and Bio-kinetic Modelling
Abstract: The remediation of crude oil-contaminated soils requires sustainable and cost-effective solutions. This study investigates the performance of fresh avocado seed (Persea americana) as a biostimulant for the remediation of Bonny Light crude oil-contaminated soil from the Kalarugbana community, Niger Delta. A 56-day laboratory-scale experiment was conducted using bioreactors containing 1 kg of soil contaminated with 100 ml of crude oil and treated with different volumes of fresh avocado seed slurry …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 68–76 Read article
-
Industrial Biotechnology in Waste-to-Value Processes: Innovations in Bioconversion
Abstract: Industrial biotechnology has emerged as a pivotal field in addressing global environmental challenges, particularly in the context of waste management. Waste-to-value processes, which utilize bioconversion techniques, have gained significant attention as they provide sustainable pathways to convert waste materials into valuable bioproducts. These processes harness microbial metabolism, enzymatic reactions, and biotechnological advancements to transform organic waste into useful products such as biofuels, bioplastics, chemicals, and other high- value biochemicals. This …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
-
Chemical Engineers at the Nanoscale: MakingNanomaterials That Work
Abstract: The convergence of chemical engineering and nanotechnology has created revolutionary prospects in material design, catalysis, energy storage, and biomedical applications. This article examines the changing responsibilities of chemical engineers in the creation and development of functional nanomaterials – substances designed at the molecular or atomic level to exhibit specific characteristics and functions. The article discusses important synthesis methods such as sol–gel processing, chemical vapor deposition, and self-assembly. It also talks …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 14–27 Read article
-
A Study on the Future of Industrial WastewaterTreatment Plant: Trends and Innovations
Abstract: Industrial wastewater treatment plants (IWWTPs) stand at the critical intersection of economic productivity and environmental sustainability. Unlike municipal sources, industrial effluent is characterized by extreme heterogeneity, containing highly variable concentrations of toxic heavy metals, recalcitrant organic compounds, suspended solids, and emerging contaminants. This complexity necessitates bespoke, multistage treatment trains, often combining physical, chemical, and advanced biological methods (e.g., membrane bioreactors, electrochemical oxidation, and anaerobic digestion). This analysis examines the contemporary …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article
-
TRAFFIC CONTROL SYSTEM: CASE STUDY OF BALEWADI HIGH STREET SIGNAL
Abstract: Abstract— The increasing demand for efficient traffic management in urban areas is crucial for enhancing safety, reducing congestion, and improving overall mobility. This study focuses on the design and implementation of an intelligent traffic control system at two critical intersections in Pune: Balewadi High Street Bridge and Lt. Baburao Habaji Saykar Chowk. The study identifies key traffic flow issues, including congestion, delay, and poor intersection geometry, and proposes the use …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
-
Co-Living Spaces for GEN Z: Sustainable and Socially Interactive Interiors
Abstract: In a time marked by increasing urbanization and changing work patterns, co-living has surfaced as a contemporary housing option that promotes affordability, flexibility, sustainability, and social connections. This dissertation examines the rising attraction of co-living among Generation Z, a group known for its digital proficiency, environmental awareness, and a strong preference for shared experiences. In contrast to conventional housing arrangements, co-living environments blend private or semi-private living spaces with shared …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 2, 2025 · pp. 39–63 Read article
-
Assessing the Implementation of Building Management Systems During the Operational Phase and Its Impact on Operational Costs
Abstract: This paper evaluates the impact of Building Management Systems (BMS) on operational costs, focusing on energy efficiency, maintenance, labor optimization, and ROI. The study, employing a mixed-methods approach, found that BMS significantly reduce energy consumption, with 80% of respondents reporting energy savings of 11–30%, primarily through optimized HVAC and lighting controls. Additionally, BMS improved maintenance efficiency, reducing unscheduled maintenance by up to 97% and cutting maintenance costs by up to …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 2, 2025 · pp. 25–38 Read article
-
Digital Archives and Metadata Standards for Architectural Heritage: A Comparative Review
Abstract: Architectural heritage – including historic buildings, monuments, landscapes, and traditional urban fabric – constitutes a vital repository of cultural, aesthetic, and scientific values. Digital archiving such heritage is increasingly necessary for preservation, research, documentation, education, and public engagement. However, the effectiveness of digital archives depends vitally on the metadata standards used: the structure, semantics, interoperability, and preservation of metadata can enable or hinder access, reuse, long‐term sustainability, and meaningful comparisons …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 7–13 Read article
-
REVITALIZATION OF WATER SUPPLY AND SANITATION IN NIGERIA THROUGH EFFECTIVE GOVERNANCE AND POLICIES
Abstract: ABSTRACT Effective governance and policies play a vital role and essential pathway in the revitalization of water supply and sanitation in Nigeria. Access to safe water and adequate sanitation remains a critical challenge in Nigeria, undermining public health and socio-economic development. This study aims to explore how politics and governance can be harnessed not as barriers but as catalysts for revitalizing Nigeria’s water and sanitation sector. It investigates the role …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 2, 2025 · pp. 38–52 Read article
-
A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article