Search
226 articles for “Area Optimization”
-
A Journey through Fixed Points and Non-expansive Mappings
Abstract: Fixed points in non-expansive mappings are elements that remain unchanged under the action of the mapping. Non-expansive mappings preserve or contract distances in a metric space. The rigorous proof of the Banach fixed-point theorem is presented at the outset of the paper, highlighting its fundamental significance. According to this theorem, every contraction mapping (a particular kind of non-expansive mapping that strictly reduces distances) has a single fixed point in a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 Read article
-
A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article
-
Replacement of Fine Aggregate in Concrete Using Bakelite Powder: A Review
Abstract: This review explores the feasibility of incorporating Bakelite, a thermosetting synthetic polymer known for its durability, heat resistance, and insulating properties, as a partial replacement for fine aggregate in concrete. The increasing focus on sustainable construction practices has driven interest in utilizing industrial waste materials like Bakelite to reduce environmental pollution while enhancing concrete performance. Bakelite, often discarded as industrial waste, presents an opportunity to improve the mechanical and durability …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 6–10 Read article
-
A Survey on Intrusion Detection in Wireless Sensor Network
Abstract: The Wireless Sensor Networks (WSNs) consist of sensor and vehicle infrastructure deployed either on land or in the sea over a selected acoustic field. Such networks are launched in the execution of joint tasks that include monitoring the environmental conditions and collecting measured data. WSNs operate based on an interactive communication among different nodes and ground stations, which provides for real-time data transmission and analysis. This research work gives a …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 51–56 Read article
-
Transforming Waste into Value: The Role of Discarded Waste in Sustainable Paver Block Production
Abstract: Concrete is the primary material used in building construction, but significant waste is generated during the demolition of structures. The increasing activities in the construction sector and manufacturing industries have led to a rise in waste production. This review paper explores the potential of utilizing Construction and Demolition (C&D) waste in the production of sustainable paver blocks, addressing the pressing environmental challenge of the estimated 12-14 million tonnes of construction …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–15 Read article
-
Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
-
Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
-
Cost–Benefit Analysis of Solar Energy: A Case Study Dehra Region of Kangra District in Himachal Pradesh
Abstract: In a crux what we can say about our findings is that solar energy’s potential in the area has not been utilized to its optimum level in the Dehra region and the people are not being properly taught about its benefits. No efforts are being put to educate people regarding the various opportunities it holds regarding employment, energy savings, and so on. Solar energy has immense potential to fulfill the …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 60–72 Read article
-
Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article
-
3D Printing of Polymer-Based Functionally Graded Materials: Recent Developments and Challenges
Abstract: Additive manufacturing (AM), specifically 3D printing, has become a useful technique for fabricating functionally graded materials (FGMs) because it can facilitate the spatial distribution of materials. Polymer FGMs (P-FGMs) have gained a great deal of interest due to their lightweight, customizable, multifunctional properties. In comparison to conventional fabrication, 3D printing allows better control of composition and microstructure, which results in materials with controlled mechanical, thermal, and biological properties. This review …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 338–347 Read article
-
Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
-
A Systematic Review of Advanced Composite Materials for High-Performance Spur Gear Applications
Abstract: This is a review which provides specific and detailed information regarding the fiber-reinforced polymer (FRP) composite to replace traditional steel in high-performance spur gears with emphasis on mechanical performance, computational modeling, and experimental validation. Methods: The current literature was thoroughly investigated that includes material properties, material simulation (e.g., finite element analysis, FEA), and experimental gear testing procedures (e.g., DIN 51354, ASTM G99). Certain case studies in the aerospace and automotive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 209–220 Read article
-
Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
-
A Review Paper on The Mathematical Foundations of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is deeply rooted in various branches of mathematics, which provide the theoretical foundation and practical tools for developing intelligent systems. This paper explores the crucial role of mathematics in AI, focusing on key areas such as Linear Algebra, Probability and Statistics, Optimization Techniques, Calculus, Graph Theory, and Fourier and Wavelet Transforms. Linear Algebra is fundamental for representing and manipulating data, with applications in dimensionality reduction and neural …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 7–14 Read article
-
AL6061/Al2O3-Ash Reinforced Composites: An Experimental and Statistical Study Using Ultrasonic Stir Casting
Abstract: This study presents an experimental investigation on the influence of fly ash particle size on the mechanical properties of aluminum alloy (Al6061) composites fabricated through Ultrasonic Assisted Stir Casting. Fly ash, a low-cost and low-density by-product of thermal power plants, has emerged as an effective reinforcement material due to its excellent fluidity, high filling capability, and ease of processing. It has been increasingly utilized in metal, polymer, and rubber composites …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1123–1133 Read article
-
High Performance Multi-Valued Logic (MVL)Gate Design Using FinFET
Abstract: CMOS scaling faces challenges such as leakage, power dissipation, and short channel effects. Multi-Valued Logic (MVL) offers higher information density and reduced interconnections. This work presents a FinFET-based MVL gate design that improves electrostatic control, switching speed, and reliability. Simulation results confirm reduced leakage power and enhanced performance compared to conventional logic. The proposed architecture demonstrates scalability for advanced technology nodes. It also shows potential for low-power applications in portable …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 34–45 Read article
-
A GIS and MCDA Framework for Land Suitability Analysis in Sustainable Agriculture
Abstract: This study examines land suitability for sustainable agriculture by integrating Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) as tools to optimize agricultural planning. Sustainable agricultural practices are increasingly critical to meet global food demands without depleting essential land resources. This research focuses on assessing specific parameters that determine the agricultural viability of land, including soil characteristics, topography, climatic conditions, and water availability. These criteria are integral to understanding …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 30–34 Read article
-
QCA-based Implementation of Budget-friendly and Energy-Efficient Exclusive-OR/Exclusive-NOR Gates
Abstract: Quantum-dot cellular automata (QCA) is a novel nanoscale computational approach that proposes reduced dimensions, lower power consumption, increased speed, and deliberate design as a solution to the scaling challenge associated with CMOS technique. QCA is a nascent nanotechnology that utilizes the Coulomb repulsion principle. Quantum computing has emerged as a highly effective paradigm for the creation of energy-efficient hardware at the nanoscale. This article presents implementation of a very efficient …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 2, 2023 · pp. 1–6 Read article
-
Holistic integrated approach of designing a satellite town: Introducing theories of environmental parameters like pollution free, circular economy and sustainability
Abstract: Urban regions are quite challenging to restore the quality of environment at the global level as well as posing serious threat to climatic changes. This fact is demonstrated on the grounds that around 70% of the carbon footprint is contributed from the urban sector. The authors of the present study have attempted to design a satellite town of population 50,000, partly to dilute the population density of main urban town …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 24–41 Read article
-
AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article