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509 articles for “traditional techniques”
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Design and Development of an Electromagnetic Propulsion Train
Abstract: The recent advancement of new transportation techniques led to the search for methods of propulsion that were superior to classical mechanical systems. Among these new moments, electromagnetic propulsion (EMP) has attracted attention because this technique allows for motion generation via electromagnetic force without using conventional wheel-based friction processing. The paper describes the conceptual design, principle of working and performance evaluation of a prototype model train to be propelled electromagnetically.The system, …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 19–24 Read article
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Climate Change and Floating Farming: Sustainable Livelihood Strategy in Bangladesh
Abstract: The paper discussed the significance of floating farming in Bangladesh. It has found that the tradition of growing vegetables, fruits and spices on rafts has now become a solution for farmers to cope with extreme weather conditions, floods and rising seas. Land cultivation is becoming more popular among farmers in many regions due to high market prices. Floating bed cultivation has now been extended to wet and intermittently irrigated areas …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 43–49 Read article
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Comparative Study of Dry, Wet and MQL Lubricating Method on Aluminium 7075 Using Vertical Milling Machine
Abstract: In present time the technology of CNC vertical milling machine has been improved significantly to meet the advance requirements in various manufacturing fields, in which the major contribution is of biomedical field, automobile field and aerospace industries, so while machining to get better surface finish generally lubrication method is used, which also helps to maintain the temperature near interface of tool and workpiece. If the traditional cooling method is used …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 12–19 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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Swift Solutions: The Science and Innovation Behind Fast-Dissolving Tablets
Abstract: Swift solutions in the context of fast dissolving tablets (FDTs) represent an innovative breakthrough in pharmaceutical science, aiming to provide rapid and effective drug delivery for patients who face difficulty swallowing conventional dosage forms. The science and innovation behind FDTs are rooted in advanced formulation techniques, material science, and drug delivery mechanisms that prioritize speed, convenience, and patient compliance. These tablets are formulated to dissolve quickly in the mouth, removing …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 26–36 Read article
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Smart Grid Energy Saving Technique Using Machine Learning
Abstract: The energy authorities provided the computation at reasonable rates for straightforward congestion management. By giving the specific information needed for energy use that is aimed towards client demands, the microgrid enables significant energy cost reductions & better power cash reserves. Processing data and producing predictions for a developing electrical system would be difficult, nevertheless, given the analysis that has been done and the population's characteristics. A Deep Learning (DL) Electricity …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Corrosion Measurement and Hardness Test of Magnesium-Tri Calcium Phosphate Composite Fabricated by Stir Casting
Abstract: Magnesium MMC is preferred in applications requiring high-quality materials and has replaced monolithic materials. Bio-implants traditionally used are titanium, steel, and nickel-titanium alloys, however, their removal necessitates surgery, which is costly and painful. While biodegradable 3D-printed implants are effective and eliminate the need for a second surgery, they remain expensive. After several studies to solve this issue, the development of biodegradable implants is considered. Magnesium possesses good biodegradable properties. An …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 436–447 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
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Characterization of Polymer Based Natural Fibre Clay Nano Composites
Abstract: Research on biocomposites is gaining significant attention due to the growing emphasis on sustainable and environmentally friendly materials. Biocomposites offer a promising alternative to traditional synthetic materials, such as plastics, which have environmental concerns like non-biodegradability and pollution. Natural fibers are often more affordable than synthetic materials, potentially leading to cost-effective products. Natural coir and jute biocomposites can be used in various industries, including automotive, construction, packaging, and textiles. Coir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 398–404 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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IP Transcendence: Unifying IPv6 Over IPv4 Network
Abstract: Dynamic routing also called adaptive routing like traditional glass optical fiber, POF uses a polymethyl methacrylate (PMMA) core with a fluorinated polymer cladding, resulting in a larger core diameter that simplifies alignment and splicing. POF's adaptability is one of its main benefits. Because of their fragility and stiffness, ordinary glass fibers would not be practicable in certain situations where POF can be put. POF is a great option for intricate …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
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Energy Savings due to passive strategies in contemporary high-rise residential building hot and dry climate
Abstract: Globally, the development of sustainable design techniques is becoming imperative, particularly with the idea of high-rise structures to keep up with the rapidly expanding cities. Approaching design sustainably by developing various sustainable methods is becoming necessary worldwide. Strategies for passive design may be useful in achieving the social, economic, and environmental goals of sustainability. This paper discusses the importance of passive design strategies in high-rise buildings, particularly in the context …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 99–103 Read article
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Recent Innovations in Semiconductor Materials for Smart Electronic Devices
Abstract: Recent advancements in semiconductor materials have significantly transformed the design, performance, and functionality of smart electronic devices such as smartphones, wearable systems, IoT devices, autonomous systems, and biomedical electronics. With the continuous demand for higher processing speed, lower power consumption, improved thermal stability, and extreme miniaturization, traditional silicon-based semiconductor technology is facing major limitations. As device dimensions shrink to the nanometer scale, challenges such as leakage current, heat dissipation, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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Analysis of Various Tools of Natural Language Processing Based on Developers Perspective
Abstract: The subject of natural language method has visible mind-blowing development in current years, with neural network community substitution numerous of the traditional structures. A subset of artificial intelligence known as “natural language processing”, or NLP, analyses, comprehends, and generates natural human languages so that computers can reuse written and spoken human language without resorting to computer-generated language. Semantics and syntax are used in natural language processing, which is sometimes referred …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 1–5 Read article
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Adverse Drug Reactions and Pharmacovigilance of Herbal Medicines in India
Abstract: The use of ayurvedic medicines is popular in India and in recent times has become accepted in other countries. Associated with this increasing use, are growing concerns about the safety of ayurvedic medicines. This paper discusses in brief the ayurvedic concepts of adverse reactions to medicines, the need for pharmacovigilance of ayurvedic medicines, challenges in introducing pharmacovigilance in ayurveda and some recommendations to successfully implement these activities. Pharmacovigilance is the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 1, 2016 · pp. 10–13 Read article