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1915 articles for “process development”
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Real-time Collision Detection for Visually Impaired Peoples
Abstract: AbstractThe blind people are at a significant drawback because they often lack the information for avoiding obstacles and threats in their path. They have very little information on self-velocity, objects, route, etc., which is essential for travel. Previously developed navigation systems use costly equipment which is often not affordable by the common blind peoples. Also, the navigation systems available are heavy weighted and very complex to use. Our research is …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
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Recent Advancement in Understanding the Aetiopathogenesis of Psoriasis: A Review
Abstract: Psoriasis is an immune-mediated inflammatory skin disease with periods of recurrence and remission. Various researches have globally explored the aetiopathogenesis of psoriasis but still it is not crystal clear. Abundant evidence suggest that dysregulation of immune cells in the skin, particularly keratinocytes, T cells, dendritic cells, natural killer cells, neutrophils, and macrophages play a vital role in the development of psoriasis. The combined effects of these cells explain most of …
Published in Research and Reviews : A Journal of Immunology · Vol. 7, Issue 2, 2017 · pp. 9–21 Read article
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Medical Management of Benign Prostatic Hyperplasia
Abstract: Benign prostatic hyperplasia is one of the most prevalent diseases in elderly men. Medical therapies are targeted to relieve obstruction by relaxing smooth muscles(α-blocker) or promoting regression of the disease process (androgen ablation).Three major classes of drugs have been used for the medical management of BPH are α-adrenergic receptor antagonist, hormones and phytotherapy. Selective α 1 receptor antagonist is effective in the treatment of BPH. The development of specific α …
Published in Research and Reviews : Journal of Surgery · Vol. 3, Issue 1, 2014 · pp. 23–25 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Organic Solar Cell: It’s future prospect
Abstract: Organic solar cells (OSCs) are emerging as a promising frontier in renewable energy technology, distinguished by their lightweight, flexible composition, cost-effective manufacturing processes, and potential for large-scale deployment. Unlike their silicon-based counterparts, which rely on inorganic materials, OSCs harness organic molecules or polymers to convert sunlight into electricity. Their adaptability in design and production is a key strength, facilitated by the ease with which organic materials can be synthesized and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Design of Maritime Empennage Unmanned Aerial Vehicle (UAV): A Comprehensive Study
Abstract: This project presents a comprehensive study on the design and development of a maritime empennage unmanned aerial vehicle (UAV) tailored for operations in coastal and naval environments. The primary objective is to engineer an efficient, stable, and mission-adaptable UAV with an optimized empennage configuration that enhances aerodynamic performance and control in maritime conditions. The study involves a systematic design process encompassing mission requirement analysis, conceptual and preliminary design, aerodynamic modeling, …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 18–24 Read article
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Integrating Value Education into Curriculum Development: A Comprehensive Approach
Abstract: In today's educational landscape, the necessity of incorporating value education into curriculum development has garnered heightened attention. This abstract delineates a holistic approach towards achieving this integration, acknowledging the fundamental role of values in shaping both individuals and societies. Through the integration of values within the curriculum, educational institutions strive to nurture students not merely academically, but also ethically and emotionally. The proposed approach commences with a meticulous examination of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 13–19 Read article
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Development of Graphene Based Super Strong and Thermal Resistant High Nano Composite Materials
Abstract: The main goals of the research is to present the investigation in graphene based super strong and thermal resistant nano composite material and study their structural and mechanical properties after intensive severe plastic deformation. It is observed that the mechanical properties of graphene based super strong Nano composite materials show an intensive severe plastic deformation as accumulative roll bonding process was changed. Severe plastic deformation refined grains in the aluminium …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 2, 2020 · pp. 9–14 Read article
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Recent Technological Advancements for Novel and Sustainable Packaging of Dairy Food Products
Abstract: Food packaging is crucial for protecting products, ensuring safety, and facilitating consumption. Important phases comprise manufacturing, wrapping, delivery, and preservation. The primary goal of food packaging is to maintain the quality of products throughout this process. Packaging fulfills multiple functions, including storing items, shielding them, offering convenience, and conveying messages. The packaging process is crucial in preserving the quality of food products, particularly dairy items, which are susceptible to biological, …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 1, 2024 · pp. 38–43 Read article
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A Cyclic Injection of High Temperature N2-foam in Fuyv Reservoir
Abstract: Steam stimulation has already been proved as an important thermal recovery technology. In Daqing, the development and management of high-heterogeneous heavy oil reservoirs plays an important role in stabilizing the oil output. To combine the good features of steam injection and cyclic injection, a cyclic steam flooding has been conducted in the Fuyv reservoir, Daqing. This paper is to present a detailed process of the cyclic-steam injection. The target Fuyv …
Published in Journal of Petroleum Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 1–12 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Hydrothermal modification of carbon fiber fabrics by ZnO nanorods for mechanical strengthening of CFRP laminates
Abstract: Hexagonal ZnO nanorods were produced on plain woven carbon fiber using a two-step seed-assisted hydrothermal procedure. By varying the process parameters such as molar concentrations, number of seeding cycles, and growth duration at a controlled growth temperature of 90 °C, it is feasible to produce ZnO nanostructures with a range of morphologies, including nanowires, hexagonal nanorods, and nanoflowers. The developed morphologies were examined using field emission scanning electron microscopy and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 127–139 Read article
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A Study of Clinical Education Practice of Clinical Instructors Accompanying Nursing Students of Kashmir Division, Deployed for Clinical Posting in SKIMS Soura
Abstract: Introduction: Clinical education also called clinical teaching, is one of the practical based approaches whereby the students are exposed to natural and practical settings. Clinical education refers to the process of educating and training healthcare professionals, such as medical students, nurses, or other allied health professionals, in a real-world clinical setting. This form of teaching is crucial for translating theoretical knowledge into practical skills and fostering the development of clinical …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 2, 2024 · pp. 32–38 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Integrated Surface Water–Groundwater Dynamics: Implications for Pollution Pathways, Prevention, and Environmental Control
Abstract: Water resources worldwide are increasingly threatened by pollution pressures amplified by climate change and intensified human activities. The vulnerability of surface water and groundwater systems to contamination is strongly governed by their dynamic hydrologic connectivity, which is often overlooked in pollution prevention and control frameworks. Rising global temperatures, altered precipitation regimes, land-use change, and intensified abstraction patterns modify recharge processes, flow paths, and contaminant transport mechanisms across environmental landscapes. This …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 34–40 Read article
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Synthesis and formability of Al/(Fe-Mn) particulate compositeusing stir casting
Abstract: Demand for lightweight and fuel economy by automotive and aircraft industries focuses to explore different materials. Alloys and composites developed with same objective to obtain superior desired mechanical properties compatible for such intended applications. However, alloy consider as solid solutions with metallic properties and cannot mix with primary major element in random proportions. This forced researcher community to develop composites, which are heterogeneous solid solutions or multi-phase materials comprising matrix …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 · pp. 80–88 Read article
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Structural Health Monitoring of Bridges using Digital Image Correlation: A Case Study
Abstract: The rapid development of the transportation section and continuous change in traffic volume, density, and loading patterns over the last few decades have increased the probability of a hazard and reduced the life of existing bridges. Structural Health Monitoring (SHM) is a process of implementing a damage detection and characterization strategy for engineering structures. This paper presents a review of various trends and technology adopted for SHM. However, it focuses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–10 Read article
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A Comprehensive Analysis of Alzheimer’s Disease
Abstract: Alzheimer's disease, the most prevalent form of dementia, is a progressive neurological disorder characterized by cognitive decline, particularly in memory function. The condition manifests in two primary forms: familial Alzheimer’s disease, affecting individuals under the age of 65 years, and sporadic Alzheimer’s disease, which constitutes the majority of cases and primarily afflicts adults aged 65 years and older. The prevalence of Alzheimer’s disease is influenced by various factors, such as …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 Read article
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Influence of Catalyst Type and Reaction Conditions on Biodiesel Conversion of Pine and Soapnut Oils
Abstract: Biodiesel produced from non-edible oils is becoming an important replacement for petroleum diesel because it is renewable, environmentally friendly, and suitable for use in existing diesel engines. It helps reduce air pollution, lowers dependence on fossil fuels, and supports sustainable energy development. Pine oil and soapnut oil are two promising non-edible feedstocks because they are easy to obtain, inexpensive, and contain chemical compounds that can be effectively converted into biodiesel. …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 39–48 Read article