Search
634 articles for “trend”
-
Arduino Based Intelligent Building Security System
Abstract: Intelligent Buildings are widely recognized as a forward-thinking solution for the future of architecture and urban development. Their successful implementation relies heavily on strategic planning that begins in the early stages of design. While this approach is somewhat aligned with current trends in green building projects, Intelligent Buildings go a step further by incorporating advanced technologies to improve functionality, efficiency, and the overall quality of indoor and outdoor spaces. These …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 28–39 Read article
-
Building Scalable Microservices with Micronaut, Kotlin, and AWS DynamoDB: A Comprehensive Architecture Study
Abstract: The evolution of enterprise software has trended steadily toward microservice architectures due to their inherent scalability and resilience advantages over monolithic systems. This research explores a comprehensive implementation approach using Micronaut, an innovative JVM-based framework specifically designed for resource-efficient microservices. The study combines Micronaut with Kotlin programming language and leverages AWS DynamoDB as a scalable NoSQL persistence layer, with Apache Kafka providing event-driven communication capabilities. We explore the critical role …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 40–57 Read article
-
Sensor Technologies in Robotics: A Review of Vision, Tactile, and Proximity Sensing Systems
Abstract: Robotics has undergone remarkable advancements in recent decades, largely driven by the integration of cutting-edge sensor technologies. Sensors serve as crucial for allowing robots to precisely logic, interpret, and react to the world around them. Among the most essential sensor types used in robotics are vision sensors, tactile sensors, and proximity sensors. These technologies strengthen a robot’s capacity for successful navigation, for example, object manipulation, and contact with people and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
-
IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
-
Critical Review of Impact of UNIX in Development of Military Computing Paradigms
Abstract: The evolution of military computing systems has been profoundly influenced by the integration and continuous advancement of UNIX operating systems since their inception in the early 1970s. This paper presents a comprehensive review of the pivotal role UNIX has played in shaping the foundational architecture of modern military computing—spanning areas such as command-and-control infrastructures, real-time data processing, mission-critical software, and cybersecurity protocols. By tracing the historical development and technical progression …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 08–16 Read article
-
Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
-
Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI
Abstract: The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 1–7 Read article
-
Evaluating the Effects of Self-Care Practices on Dermatology Patients at Sharda University Hospital
Abstract: Self-care is the ability of individuals, families and communities to promote their own health, prevent disease, maintain health, and to cope with illness with or without the support of a health or care worker." (WHO, 2020) This study looked into the demographics and self-care activities of patients who visited the Dermatology Department at Sharda Hospital. A descriptive survey design was used, with 50 participants aged 18-45 years selected using convenience …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 Read article
-
An Experimental Investigation on the Determination of Critical Micelle Concentration (CMC) Of Various Surfactants Using the Surface Tension Method
Abstract: This study primarily focuses on the experimental investigation for determining the critical micelle concentration (CMC) of various surfactants that are commonly employed to enhance the stability of nanoparticles in base fluids. In this context, three surfactants belonging to the anionic category—Sodium Dodecyl Sulfate (SDS), Sodium Lauryl Sulfate (SLS), and the bio-surfactant Rhamnolipid—were selected, along with one non-ionic polymer, Polyvinylpyrrolidone (PVP), which is used as a surfactant. The CMC of each …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 145–153 Read article
-
Polymer Chemistry-Guided Development of Biomimetic Composite Scaffolds
Abstract: Polymer chemistry plays a fundamental role in advancing biomaterials for anatomical tissue engineering, particularly in the design of composite scaffolds that replicate the intrinsic characteristics of native tissues. The regeneration of damaged tissues, especially within anatomically complex structures such as bone, cartilage, and skin, necessitates biomaterials that closely emulate the hierarchical architecture and biological functions of native extracellular matrices (ECMs). The capacity to replicate both mechanical and biochemical cues of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 7–13 Read article
-
Evolution of Lean Manufacturing in Mechanical Industries: From Traditional Tools to Digital Transformation
Abstract: Lean manufacturing has long been a foundational strategy for enhancing productivity, reducing operational waste, and improving overall efficiency in mechanical industries. Initially developed as part of the Toyota Production System, lean principles focused on eliminating non-value-adding activities and streamlining processes using a set of well-established tools such as 5S, Kaizen, Kanban, and value-stream mapping. Over the decades, these principles have been adopted and refined globally, particularly within the mechanical sector, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
-
AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
-
Multifunctional Materials for Electro-Mechanical Applications: Synergistic Integration of Strength and Conductivity
Abstract: The integration of mechanical strength and electrical conductivity within a single material system has emerged as a critical requirement in the development of next-generation multifunctional materials. These materials are increasingly sought after in fields such as aerospace, flexible electronics, energy storage, and structural health monitoring, where the traditional separation of structural and functional materials leads to inefficiencies in weight, space, and overall performance. The convergence of these properties enables compact …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
-
Study of Diurnal Anisotropy Variation in Cosmic Ray Intensity During Minimum Solar Activity Period
Abstract: we present a comprehensive study of cosmic ray variations over the period from 1964 to 2018, encompassing solar cycles 20, 21, 22, 23, and 24. Both annual average and day-to-day variations have been analyzed to capture the temporal dynamics of cosmic ray intensity across multiple solar cycles. The study focuses particularly on periods of minimum solar activity, namely the years 1965, 1976, 1986, 1996, and 2008, when cosmic ray modulation …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 30–37 Read article
-
Carboxymethyl Cellulose-Based Spray-Dried Microspheres: Recent Advances and Applications in Targeted Drug Delivery Systems
Abstract: Microspheres are spherical particles ranging from 1 to 1000 μm, made from natural or synthetic polymers and inorganic materials. Their structure allows precise drug delivery, improving targeted release and minimizing off-target effects. Natural polymers such as starch, chitosan, and alginate are favored for their biodegradability, adhesion, and compatibility, enhancing mucosal interaction and residence time. Microspheres are widely used in site-specific drug delivery, gene therapy, and vaccine administration, improving immunogenicity, extending …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 251–268 Read article
-
Study of the Rheological, Physical-Mechanical Properties of Disposed Polypropylene and Polyvinyl Chloride Binary Mixtures
Abstract: In this study, various compositions were prepared by modifying the decommissioned polypropylene (PP)-based polymer waste with polyvinyl chloride (PVC) in different proportions for the purpose of modification, and the flow index and physical and mechanical properties of their alloys were studied. As a result of the research, the following results were obtained. PP/PVC binary compositions were prepared and samples were obtained based on 6 different proportions by changing the amount …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 Read article
-
Comparison of Percentage Reduction of Total Petroleum Hydrocarbon on Treatment Using Bryophylum pinnatum Leaf: The Concept of Alcohol and Water as Solvent for Constituents Extraction
Abstract: Investigation on the comparison of percentage reduction of total petroleum hydrocarbon on treatment using Bryophylum pinnatum leaf was indeed, considered by using the concept of alcohol and water as solvent for constituents’ extraction. The extracts were introduced into the various bioreactors set-up and the Total Petroleum Hydrocarbon (TPH) concentration monitored with increase in contact period. The investigation revealed decreased in TPH concentration with increased in the percentage reduction of the …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 45–52 Read article
-
Machine Learning Pipelines: A Survey on Automation, Scalability, and Deployment Strategies
Abstract: Machine learning (ML) has become a critical enabler of intelligent applications across domains, requiring robust, efficient, and scalable deployment workflows. This review paper provides an in-depth overview of machine learning pipelines, emphasizing three key dimensions: automation, scalability, and deployment methodologies. It begins by exploring automation techniques that reduce manual effort in data ingestion, preprocessing, model selection, and hyperparameter tuning. Tools such as AutoML, TFX, and workflow orchestration platforms are examined …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
-
Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
-
A Review of Glass Fiber Reinforced Composite Materials - Advancements and Challenges
Abstract: The use of glass fiber reinforcement has transformed modern engineering by providing an exceptional balance of strength, lightweight characteristics, and adaptability. This comprehensive review synthesizes findings from over 150 scholarly articles to provide an in-depth analysis of glass fiber reinforcement across multiple sectors. The exploration covers its historical development, manufacturing processes, and diverse applications in aerospace, automotive, construction, marine, and renewable energy industries. Glass fiber’s exceptional strength-to-weight ratio, corrosion resistance, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 635–656 Read article