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197 articles for “Proposed model”
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A Proposed Model for Cloud Security Controlled by CS Using Reactive Programming
Abstract: Security in the Cloud In our suggested approach, the popular reactive programming paradigm has been used as a novel solution. In this research, we evaluate and minimise the execution time for the model proposed in cloud security, where security control is delegated to the CS(Cloud expert) of a certain company based on predetermined alternatives. The synchronisation of concurrent operations as well as the manipulation of real-time We faced some data …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 1–11 Read article
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Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
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Performance Calculation of a Gas Plant Compressor Unit
Abstract: This research was centered on calculating the performance of a gas plant compressor unit which was achieved using Tunu Booster Station facility. The results shows that the ability of the compressor, isentropic efficiency and coefficient of performance of the compressor gave values of 33899kw, 0.83 and 1.2. The deviations from the existing plant values were 35.6%, 31.7% and 20% respectively. Other parameters that were considered and evaluated include the failure …
Published in International Journal of Polymer Science and Engineering · Vol. 8, Issue 2, 2022 · pp. 13–24 Read article
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Grid Connected PV Power System with MPPT
Abstract: This work presents the basic idea of a practical three phase grid-connected PV power systems having some faults. This modeling also takes an effective effort to track the maximum power by using power electronics considering a practical case study under fault.The basic introduction and idea of the basics of grid connected power system are also proposed. Maximum power point operation.Simulation results arepresented to validate the proposed model for grid-connected photovoltaic …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 40–44 Read article
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Crime Rate Prediction System Using Machine Learning.
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 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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Studies on Extraction, Modelling and Purification of Quercetin from Peel of Allium cepa
Abstract: ABSTRACT Quercetin is an anti-oxidant, which very efficiently scavenges highly reactive biological species such as peroxynitrite and hydroxyl radical. Quercetin belongs to the flavonoid’s family. The present studies on optimization of physico-chemical parameters like effects of different solvents, different solvent percentages, particle size, pH and extraction time for the extraction of quercetin was studied. The highest quercetin concentration for optimized conditions was 38 µg/ml. In the soxhlet extraction process, the …
Published in International Journal of Plant Biotechnology · Vol. 4, Issue 1, 2018 · pp. 3–11 Read article
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Studies on Interaction of SDS with HPMC Using Central Composite Design
Abstract: The conductivity measurements were used to study the interaction between non-ionic biopolymers, hydroxypropyl methyl cellulose (HPMC) and the anionic surfactant- sodium dodecyl sulphate (SDS) in aqueous solutions of different concentrations and at temperatures along with the use of Response Surface Methodology (RSM). Calculations were made of the free energies of aggregation ΔGagg, micellization (Gmic), and transfer (Gt), all of which are connected to the bonding interaction between the surfactant and …
Published in International Journal of Green Chemistry · Vol. 8, Issue 2, 2022 · pp. 20–33 Read article
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Development of a Blockchain Technology Framework for Agri-food Supply Chain Management
Abstract: Supply chain management involves effectively managing the movement of goods and services all the way from their origin as raw materials to their delivery to the final consumer. It involves all the steps involved in transforming, transporting, and delivering products to meet customer demand. In agri-food supply chain management, producers, distributors, and consumers are demanding greater transparency in the food sector due to a rise in agricultural mislabeling and negligent …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 22–28 Read article
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Electrical Characteristics of a Solar Cell/PV Module
Abstract: Conventionally, a PV system consists of solar PV arrays and electric converters. A PV array is formed by series/parallel combination of solar modules. Some operating conditions result in non-uniform irradiance of PV array, such as shadows, clouds, dirt, debris, bird droppings, different orientations and tilts, and so on. If several solar cells in a series PV module are mismatched due to non-uniform irradiance, these cells will limit the output current …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 25–35 Read article
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Solution of Data Envelopment Analysis Model by Fuzzy Mathematical Programming Approach
Abstract: In many real applications, the data of production processes cannot be precisely measure. This Is Particularly worrying when assessing efficiency with frontier-type models, such as data Envelopment analysis (DEA) models, they are very sensitive to possible data errors. For this reason, the possibility of having available a methodology that allows the analyst to deal with imprecise data becomes an issue of great interest in these contexts. Data envelopment analysis (DEA) …
Published in International Journal of Computer Aided Manufacturing · Vol. 6, Issue 2, 2020 · pp. 23–33 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
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Automobile Engine Assembly Line in an Automobile Industry
Abstract: Manufacturing industries give importance to the reduction of energy consumption due to the increase in energy cost and to create an eco-friendly environment. Assembly line is considered to be one of the cost intensive systems. Robots are recently being used to perform the assembly tasks instead of manual labor. There is a requirement of efficiently balancing the assembly line by allocating equal amount of work to workstations and assignment of …
Published in International Journal of Computer Aided Manufacturing · Vol. 4, Issue 2, 2018 · pp. 80–100 Read article
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Investigation into SITO Split-Range Control System as Alternative Techniques over Ratio Control Strategy on Hydrocyclone
Abstract: The production of Crude Oil from the reservoir and the subsequent processing of the reservoir fluid come with litany of environmental impact issues. This work focuses on the control of the differential pressure ratio of the Hydrocyclone using an alternative scheme. The control of the Hydrocyclone Differential Pressure Ratio is a major determinant of the efficiency of separation. Traditionally, among the various PID Control Strategies, the Ratio Control Method is …
Published in International Journal of Green Chemistry · Vol. 6, Issue 1, 2020 · pp. 5–19 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Fuzzy Basis based Network Model
Abstract: ABSTRACT Fuzzy basis is applied to develop a new network model. This network model performs compactly, efficiently and securely. The new protocol is proposed in this paper. This protocol lies with the said advantages. The formulation of the network comprises with the group theory and its generalization based on the fuzzy classification. The fuzzy basis follows the subgroup properties over the divisibility theory. The proposed model achieves the said goals …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 8–12 Read article
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Fabrication of a Novel and Efficient Radiation Grafted Functionalized Polymer Adsorbent and Investigation of its Applicability in the Adsorptive Removal of Cr (VI) Ion from Aqueous Solution
Abstract: The grafting of glycidyl methacrylate (GMA) onto non-woven polyethylene (PE) fabric was accomplished using a radiation-initiated grafting technique. The grafted textiles were allowed to react using triethylamine to create functioning amine groups. Upon bond formation yield, the impact of grafting intensity has been examined. Utilizing the appropriate technologies, such as FTIR, TGA, and SEM, the adsorbents were rigorously examined. There was evidence of GMA grafting and diamines according to FTIR, …
Published in International Journal of Polymer Science and Engineering · Vol. 8, Issue 1, 2022 · pp. 1–15 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Reimagining Coastal Futures: Architectural Innovation and Environmental Harmony Tthrough Coastal Restoration
Abstract: In a world woven around constant change, architecture stands as a strong transformative force which is capable of shaping and responding to the evolving built environment. It plays an important role in community resilience and sustainability in an era of fast environmental change, going beyond simple aesthetics. This essay introduces a Coastal Restoration and Awareness Center for Kalutara, a cutting-edge architectural project that balances the built and natural environments. The …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 1, 2025 · pp. 9–30 Read article
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Prediction Models on Causing Factors for Delirium in Intensive Care Unit Patients
Abstract: This study aims to screen high-risk group for delirium in the intensive care unit by building optimal prediction models over multidimensional analysis of the factors causing delirium in intensive care unit patients, with providing the theoretical foundation for the development of protocols for delirium prevention and management in such patients. The data were collected over the electronic medical records by 3781 patients who were admitted to the medical/ surgical intensive …
Published in International Journal of Neurological Nursing · Vol. 3, Issue 1, 2017 · pp. 13–24 Read article