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197 articles for “Proposed model”
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Zero Water Discharge Concept Model Using Root Zone Wastewater Treatment Systems
Abstract: One of the intense problems that the planet is facing Environment pollution. In India, increasing population, industrialization and urbanization are prime contributors to the present. Collecting, treating and disposing of domestic and industrial wastewater is a serious problem that needs to be addressed to prevent environmental damage. Untreated sewage discharge is the most important cause of surface and groundwater pollution in India. In India, there is a big gap between …
Published in International Journal of Landscape Planning and Architecture · Vol. 8, Issue 1, 2022 · pp. 1–8 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Smart Voting System using Biometrics
Abstract: Election integrity and openness are essential components of democratic governance. Voter impersonation, duplicate voting, and the absence of real-time verification are common problems with traditional voting systems, including paper-based and electronic voting machines. This paper proposes a secure and efficient Biometric Voting System that leverages biometric authentication techniques, such as fingerprint or iris recognition, to ensure the uniqueness and authenticity of each voter. The system integrates a centralized database containing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speedexceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The framework …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 28–42 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speed exceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Key factors and Challenges in Supply Chain Management practices specific to prefabricated projects
Abstract: Abstract: This study embarks on a critical examination of Supply Chain Management (SCM) within the realm of prefabricated housing and building (PHB), acknowledging its pivotal role in the overall construction industry. Employing qualitative review methods, it strives to unravel the intricate relationship between SCM practices and the success of prefabricated construction projects. The focus is on advocating for a systematic approach to comprehend SCM adoption comprehensively. At its core, this …
Published in International Journal of Town Planning and Management · Vol. 10, Issue 1, 2024 · pp. 26–40 Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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Transformer-Less Dynamic Voltage Restorer Employing an Asymmetrical Seven-Level Inverter with Reduced Number of Switches for Improving Power Quality
Abstract: In modern power system, power quality is one of the major concerns. It has become important, especially with the introduction of smart grid, grid-connected renewable energy systems and sophisticated devices, whose performance is very sensitive to the quality of power supply that results in a failure of end-use equipment. One of the major power quality disturbance dealt here is the voltage sag. To solve this problem, custom power devices are …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 4, Issue 1, 2018 · pp. 31–38 Read article
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Optimization of Machining Parameters for Nylon 6 Composite in CNC Lathe Using PCA-Based TOPSIS
Abstract: This work investigates the parametric optimization of CNC turning operation for Nylon 6 with principal component analysis (PCA) and technique for order preference by similarity to ideal solution (TOPSIS) based on Taguchi approach. Taguchi’s L16 orthogonal array takes 16 experimental runs to execute the design matrix of turning parameters through PCA coupled with TOPSIS, utilizing relevant experimental data as obtained through experimentation. Turning speed (TS), feed rate (FD) and depth …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 1, 2018 · pp. 36–47 Read article
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Investigation and Performance of CNT-MOSFET Device Using Quantum-Based Modelling
Abstract: We propose a novel MOSFET design that embodies single wall zig-zag semiconducting carbon nanotubes (CNT) in the channel, as shown in Figure 1. Investigations show that CNTs have high low-field mobilities, which can be as great as 2×105 cm2/Vs. Thus, we predict that MOSFET performance can be improved by embedding CNTs in the channel. To investigate performance of the new CNT-MOSFET device, we develop a methodology that connects CNT modeling …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 1, 2017 · pp. 23–36 Read article
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The role of Nurse in the Positive Aging culture
Abstract: The main goal of this paper is to introduce the positive aging theory in the geriatric nursing context. In particular, how to implement the interventions carefully in the way to improve the capabilities and skills of professional nurses. Being a theoretical paper, we carry out a thorough literature review, and we propose a new model of nursing care. The model we propose analyses the potentialities and performances of older people …
Published in International Journal of Geriatric Nursing · Vol. 3, Issue 1, 2020 · pp. 22–30 Read article
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Simulation and Design of Closed Loop Controlled Buck - Boost Converter
Abstract: In this paper we propose to model some practical power electronic converters used in the intermediate power conversion process for e.g. wind, solar, and battery system. The small-signal models are derived from the differential equations. Based on the models, simulation and experimental results is be provided to validate the proposed controllers. A mathematical and simulation model of a practical Buck-Boost converter is developed, it will be employed for closed loop …
Published in International Journal of Electrical Power System and Technology · Vol. 7, Issue 1, 2021 · pp. 13–23 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Simultaneous AC and DC Outputs Using Hybrid Converter Modeling
Abstract: The paper proposes a hybrid converter which supplies simultaneous DC and AC loads from a single DC input. The resulting hybrid converters require less number of switches increasing the reliability. Such multi-output converters with better power handling capability and reliability can be well suited for systems with simultaneous DC and AC loads. . The proposed converter, studied in this paper, is called Boost-Derived Hybrid Converter (BDHC) as it is obtained …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 1, Issue 2, 2015 · pp. 1–6 Read article
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Stability Analysis of Type-III Wind Turbine Systems Using Radial Basis Function Networks (RBFNs)
Abstract: To accomplish power smoothing, contemporary controllers like adaptive and predictive controllers are used on both the machine and grid sides. Effective machine-side torque control requires robust technologies. Under order to maintain stable performance under nonlinear circumstances, this work employs the sliding mode control technique to control the pitch angle during disturbances. Even in situations where wind conditions fluctuate, the sliding mode control approach optimizes wind power generation by effectively resolving …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 · pp. 25–42 Read article
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POWER PLANT MODEL VALIDATION FOR IMPROVING SYSTEM RELIABILITY AND SECURITY
Abstract: Model that represents virtually all practical systems. Power system models are used to demonstrate the systemperformance studies such as generation, load growth estimation, operating limits calculation and (SIPS) system integrityprotective schemes performance computations and all this study depends upon an exact mathematical model representation of thetrans- mission system, generation system and load model. Comparison of performance data of the power system model with theactual system measured data called power system …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 23–37 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Laser Communication in Developed and Developing Countries
Abstract: Laser technology is finding widespread use nowadays in the field of communication. The use of Laser technology in communication is a matter of research today as it can prove to be beneficial in the areas such as speedy transfer, secured, and bandwidth problems as in the case of radiofrequency transmission. Using this technology the problem of radio interference can be overcome as the data transmission is through optical communication. This …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 1–8 Read article