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945 articles for “Integration”
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Transformable Interiors: Designing Spaces That Morph with User Needs
Abstract: The escalating demand for adaptable, multifunctional spaces in contemporary architecture and interior design is being addressed through the concept of transformable interiors. These dynamic environments leverage smart technologies, modular furniture, and movable partitions to create spaces that can seamlessly transition between various functions – such as living, working, and socializing – thereby enhancing spatial efficiency and user experience. In urban contexts where space is limited, transformable interiors offer a sustainable …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 2, 2025 · pp. 34–56 Read article
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Reactive Separation for Biodiesel Purification Using Hybrid Membrane Systems
Abstract: Biodiesel produced through transesterification typically contains several impurities, including residual glycerol, unreacted methanol, soaps, water and homogeneous catalysts, all of which reduce fuel quality and hinder compliance with EN 14214 and ASTM D6751 standards. Conventional purification techniques such as water washing, centrifugation and vacuum distillation are energy-intensive, generate large volumes of wastewater and often fail to efficiently remove polar contaminants. To overcome these limitations, this study examines a reactive separation …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 17–30 Read article
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Carrying Capacity-Based Urban Design Framework to Tackle Overtourism in the Pilgrim Sites of India
Abstract: Overtourism has emerged as a rapidly spreading concept across tourist destinations worldwide. Pilgrim sites, such as Varanasi, Vaishno Devi, and Tirupati, have suffered from the continuous surge of visitors, especially during peak seasons or festivals, causing environmental degradation, choking crowd situations and a lower visitor experience, and decline the quality of life for the residents. This, along with poor infrastructural planning, causes a significant threat to sustainable development in the …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 2, 2025 · pp. 18–33 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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EXIT Chart Analysis and PerformanceEvaluation of Cooperative NOMA Systems
Abstract: This paper conducts a comprehensive performance analysis of Cooperative Non-Orthogonal Multiple Access (NOMA) systems through the application of Extrinsic Information Transfer (EXIT) chart analysis, a tool widely used for visualizing the iterative decoding process in communication systems. The proposed system integrates Successive Interference Cancellation (SIC), Multi-User Detection (MUD), and spreading techniques to enhance the reliability and efficiency of data transmission. In this cooperative framework, the near user (NU), having stronger …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 21–30 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Functional Rubber Particles and Their Applications- A Review
Abstract: Functional rubber powders (FRPs) are emerging as a potential class of materials derived primarily from end-of-life tires (ELTs) and other rubber scraps through mechanical, cryogenic, or de-vulcanization methods. These powders act as high-performance additives or reinforcing fillers in various engineering applications due to their low cost, improved surface properties, customizable particle sizes, and ability to undergo further chemical reactions. This review provides an overview of the production technologies, focusing on …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 8–16 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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Design, Analysis, and Material Optimization of a Passenger Railway Bogie Manipulator for Enhanced Performance and Efficiency
Abstract: Abstract The study aims to improve the design and optimize the material used in passenger railway bogie manipulators to improve their performance and efficiency. It is an essential tool in railway maintenance for lifting and relocating heavy bogie assemblies. The primary goal was to reduce overall weight and material use while maintaining structural integrity and operational reliability. After verifying the system structure, the original 70 mm screw was reduced to …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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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
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ANALYSIS OF MULTI-STOREY BUILDING WITH DIFFERENT OUTRIGGER SYSTEM AND LOCATIONS
Abstract: ABSTRACT- Designing and constructing high-rise buildings requires structural systems that can efficiently resist lateral forces caused by wind and seismic activity. Outrigger systems are commonly used in tall structures to increase lateral stiffness, minimize building drift, and better use structural materials. This research examines the performance of multi-storey buildings incorporating various outrigger configurations, including traditional outriggers, belt trusses, deep beams, and shear wall systems. A response spectrum analysis is carried …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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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
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Energy-Efficient Building Envelopes: Exploring Bio-Composite as PCM
Abstract: The building sector is a significant contributor to global energy consumption, driving the need for innovative and sustainable energy efficiency solutions. This study investigates the potential of integrating bio-composite phase change materials into building envelopes to improve thermal performance and reduce energy demand. A novel bio-composite phase change material was developed, and its thermal properties, including latent heat capacity and melting temperature, were characterized through laboratory testing. The material was …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 2, 2025 · pp. 17–24 Read article
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BEHAVIORAL STUDY OF REINFORCED CONCRETE BUILDINGS DURING MAINSHOCK–AFTERSHOCK EARTHQUAKES
Abstract: ABSTRACT - Earthquakes are among most destructive natural hazards, often causing widespread damage to buildings and vital infrastructure. The extent of this damage depends on various factors, one of which is the nature of fault movement. The point of initial rupture beneath the Earth’s surface is known as the hypocenter or focus. Seismic activity can be broadly divided into two categories: mainshocks and aftershocks. While the mainshock generally causes the …
Published in International Journal of Concrete Technology · Vol. 11, Issue 2, 2025 · pp. 6–14 Read article
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Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
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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
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Audio & Video Translate System
Abstract: With the increasing expansion of digital media and globalization, there is a rising need for sophisticated audio and video translation systems to overcome language and cultural barriers. This paper explores the role of these systems in localizing multimedia content, ensuring accessibility, and complying with global standards, including those focused on individuals with disabilities. The research aims to investigate how various translation technologies, such as dubbing, subtitling, and audio descriptions, contribute …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Improved Programming Model Using AI: Shifting from Imperative Coding to Declarative Intent
Abstract: The contemporary software development lifecycle is burdened by significant cognitive friction, characterized by high demands for syntax recall, boilerplate management, and painstaking manual debugging. This paper proposes and examines a novel programming model built upon deeply embedded artificial intelligence, moving beyond simple code completion tools to establish a truly intent-based, declarative development environment. The proposed model leverages specialized large language models and domain-specific generative agents (Cognitive Programming Assistants, or CPAs) …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article