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1600 articles for “dry”
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Exploring Diagrid Efficiency: A Modern Analysis of Lateral Load Resistance Across Building Heights
Abstract: Modern architectural design and engineering often feature innovative structural systems, with diagrid structures standing out as an aesthetically appealing solution for tall buildings due to their geometrically complex patterns. Despite extensive global research on diagrids, a comprehensive study systematically comparing their structural efficiency is still lacking. The structural efficiency and seismic performance of diagrid lateral load-resisting systems were evaluated in this thesis. The study compared the diagrid system's effectiveness against …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 2, 2024 · pp. 11–23 Read article
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Advances in Speed Control Techniques for Three-phase Induction Motors
Abstract: Induction motors are pivotal in modern industrial applications due to their efficiency and adaptability. Electric motors that run on alternating current (AC) and are driven by a rotating magnetic field are called induction motors. They consist of coils that use electromagnetic induction to transform electrical energy into mechanical energy, a rotor, and a stator. AC induction motors are incredibly adaptable, efficient, and have a comparatively straightforward construction. This paper provides …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 1–8 Read article
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Evaluating Diagrid Systems: A Modern Approach to Lateral Load Resistance Across Varied Building Heights
Abstract: Modern architectural design and engineering often incorporate advanced structural systems, with diagrid structures becoming popular for high-rise buildings due to their unique geometric patterns and aesthetic appeal. Despite considerable global research on diagrids, a detailed comparative analysis of their structural efficiency remains limited. This thesis assesses the structural efficiency and seismic performance of diagrid lateral load-resisting systems. The effectiveness of diagrids was compared to conventional building designs in multi-storey buildings …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
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Use of Coconut Fibre as a Suitable pH and Rheology Enhancer
Abstract: This paper studied the use of coconut fibre as a substitute for caustic soda in drilling fluids for the improvement of pH in a water-based mud. The coconut coir was dried in the sun for 7 hours and ground into very fine particles, after which it was placed in an electronic oven at a temperature of 105°C for 1 hour to remove any remaining moisture. Sieving using a 200 mm …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 01–10 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems
Abstract: The design and development of a Virtual Doctor Robot (VDR) using Internet of Things technology is presented in this study with the goal of facilitating remote medical assistance. In light of the constraints associated with physical presence, especially in underprivileged areas like isolated parts of India during the COVID-19 pandemic, videoconferencing (VDR) is a viable means of bridging the gap between patients and physicians. The VDR makes accurate diagnostic and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 13–23 Read article
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A Literature Review on Extrusion/Spheronisation-A Pelletization Technology
Abstract: Extrusion-spheronization is a leading pelletization technology, widely favored for its economic and commercial viability. It is a cost-effective method suitable for large-scale production, making it the most efficient approach for oral drug delivery. This process provides multiple benefits, such as improved flow characteristics, lower friability, a narrow particle size range, easier coating, consistent packing, reduced likelihood of dose dumping, and more predictable gastric emptying. Pellets usually measure between 0.5 and …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 61–71 Read article
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DR. REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care
Abstract: Dr. Revive is an AI-powered medical recommendation system designed to enhance virtual healthcare interactions by connecting patients, doctors, and healthcare stakeholders. Leveraging advanced machine learning algorithms, it analyses user-reported symptoms to provide initial medical recommendations, serving as a reliable first point of guidance. With access to a comprehensive medical database, the platform delivers accurate and timely advice, empowering patients while supporting healthcare professionals with data-driven decision-making. By offering a complete …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Analytical Investigation on Structural Optimization of Commercial Building Using Braced Frames and Masonry Diagonal Strut
Abstract: Enhancing the overall stability and structural performance of commercial buildings are important in particular regions which are prone to various seismic activity. This research emphases on enhancing the seismic performance of commercial buildings by integrating masonry diagonal struts with concentric braced frames. The main aim is to ensure structural safety of a building while also keeping the design economical and efficient. In this study high-rise buildings with 12, 16, and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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Non-Contact Quantification of Swelling-Induced Deformation in Polymer Hydrogels Using Image Analysis
Abstract: Swelling of polymer hydrogels governs transport, mechanics, and functional performance in biomedical systems, yet it is often reported using bulk ratios that conceal spatially heterogeneous deformation and boundary-driven instabilities. This study presents a non-contact image-analysis framework to quantify swelling-induced deformation by tracking shape and boundary evolution from time-lapse imaging. The approach segments the hydrogel region, extracts a sub-pixel refined contour, and computes boundary displacement descriptors including mean and upper-percentile normal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1499–1509 Read article
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Artificial Intelligence and Edge Computing in Oil and Gas: Applications, Architectures, and Operational Realities
Abstract: Artificial intelligence has arrived in oil and gas, and unlike some previous waves of digital enthusiasm in the sector, this one is sticking. Saudi Aramco analyses approximately 10 billion data point every day and reported USD 4 billion in technology-driven operational gains in 2024. ExxonMobil uses AI to increase shale well output by more than 5 percent. Shell has deployed machine learning across more than 10,000 assets using C3.ai to …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 01–06 Read article
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Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor
Abstract: Clean drinking water is essential for human health since dirty water can lead to serious diseases such as diarrhoea, cholera and typhoid and long-term diseases such as kidney damage, cancer and child development problems. Though hard water is less dangerous, it causes dry skin and kidney stones and saline water causes high blood pressure. The Water Quality Monitoring System exists as a solution against existing water safety issues. The system …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–31 Read article
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Analysis of Proposed Diagrid Geometry Using Golden Ratio in Non-Linear Regime of Material
Abstract: Lateral loads are critical in the design of high-rise structures. The buildings need to have high stiffness and must be able to resist lateral deformations and torsional rotations without having discomfort to the user. Diagrid structural system is one of the systems used in resisting lateral forces. In this study, diagrid geometry is generated using the ‘Golden Ratio’ concept and used to model 40, 50, and 60 story structures. Two …
Published in Journal of Construction Engineering, Technology & Management Read article
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Research Paper on Thermal Comfort Analysis of Tractor Considering Multi-Parameters
Abstract: The main functions of a vehicle cabin are to provide a comfortable and relaxing environment for its operator and to protect them from vibrations, noise, and other adverse influences. Modern agricultural tractor cabins are complicated, high-efficiency systems, and the goal of their development is to reduce their negative influence on the environment. Main factors for thermal comfort are the dry-bulb temperature, relative humidity, surrounding surface temperature, and air motion. A …
Published in Journal of Mechatronics and Automation Read article
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Studies on Extraction of Flavonoids from the Peel of Pisum Sativum
Abstract: Pisumsativum is commonly known as Pea plant and belongs to Fabaceae family. It is an herbaceous annual plant. Pea pods not only yield an adequate quality of dietary fibre but provide a substantial amount of proteins, sugars, and minerals. Globally, significant quantities of pea residue are generated, an enormous amount of which is used as animal feed. The pea pods consist of an appreciable amount of polyphenols, including phenolic acids …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 2, 2023 · pp. 17–22 Read article
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Electric Vehicles - Paving the Road to Widespread Adoption: A Review of Technical and Non-technical Challenges
Abstract: Electric vehicles (EVs) have gained significant interest in recent years as a sustainable transportation method to reduce greenhouse gas emissions. However, the adoption of EVs faces several technological and economic challenges that need to be addressed. This review provides a comprehensive overview of the current state of the art in EV technologies including batteries, power electronics, motors, and charging systems. The key challenges inhibiting widespread EV adoption are discussed including …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 22–26 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Assessment of Chlorides In The Water Samples And Its Absorption By Thermosetting Polymer Phenol Formaldehyde Resin
Abstract: Assessing chloride levels in water samples is critical for monitoring water quality and ensuring environmental and public health protection. This study presents a comprehensive methodology for estimating chloride concentrations in water samples through various analytical techniques, including titration. Results obtained from each method were compared and discussed to evaluate their accuracy, and applicability in different environmental settings. The data shows that the samalkot drinking water sample has a relatively high …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 91–98 Read article