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197 articles for “Proposed model”
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Tunnel Stability under Different Conditions: Analysis by Numerical and Empirical Modeling
Abstract: Abstract Stability of the tunnels under different geotechnical conditions can be effectively assessed using numerical modelling techniques. In this paper, the stability of tunnel was analyzed along with support requirement, based on stress distribution around tunnel, using the finite element modelling software – NISA. A case study was taken up of a tunnel proposed by Karnataka Netravari Nigam Limited near Siddapura, Udupi District, Karnataka, India. Results from finite element modeling …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 1, Issue 2, 2015 · pp. 1–13 Read article
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Velocity and Concentration Distribution of Turbidity Currents
Abstract: AbstractThis study conducts a comprehensive analysis of the velocity and concentration characteristics withinturbidity currents, focusing on detailed evaluations of the hydrodynamic and sediment transportproperties. The investigation includes separate calculations for the velocity and concentrationdistributions within the near-boundary and jet regions, allowing for an in-depth comparison betweenthese distinct flow areas. By computing dimensionless profiles of both velocity and concentration, thestudy offers a visual representation of flow behaviors and sediment patterns, which …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 15–22 Read article
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Power Quality Enhancement in 3P4W Electrical Distribution System by using DCMLI-DSTATCOM-TIES with Reliability Study
Abstract: The Quality of the output power from the utilities has become a serious concern of the trendy industries. These power quality associated issues area unit voltage sag, surge, flicker, voltage imbalance, interruptions and harmonic issues. These power quality issues might cause issues to the industries starting from haywire of kit to finish plant close up. It’s been known that power quality will be degraded each owing to utility aspect abnormalities …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 1, 2017 · pp. 16–33 Read article
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Electrical and Optical Study of MEH-PPV-Based OLED
Abstract: The electrical and optical characteristics of MEH-PPV (Poly [2-methoxy-5-(2’-ethyl-hexoxy)-1, 4 phenylenevinylene]) as active layer has been investigated in the organic light emitting diode (OLED).The proposed structure is a monolayer device; consisting MEH-PPV sandwiched between high work function anode (ITO) and a relatively low work function cathode (Ca).The proposed structure was simulated by device simulation software ATLAS from Silvaco Inc. Simulation includes various organic models like Poole-Frenkel mobility model and Langevin …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 2, 2017 · pp. 1–9 Read article
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TRAFFIC CONTROL SYSTEM: CASE STUDY OF BALEWADI HIGH STREET SIGNAL
Abstract: Abstract— The increasing demand for efficient traffic management in urban areas is crucial for enhancing safety, reducing congestion, and improving overall mobility. This study focuses on the design and implementation of an intelligent traffic control system at two critical intersections in Pune: Balewadi High Street Bridge and Lt. Baburao Habaji Saykar Chowk. The study identifies key traffic flow issues, including congestion, delay, and poor intersection geometry, and proposes the use …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural Network
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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A Technical Review on Comparison of Speech Enhancement Algorithms
Abstract: The use of mobile speech communication devices has increased by manifold. Mobile communication technology is providing us the mobility and exhibility to communicate irrespective of place and time. The result is that the mobile voice communication systems are often used in high acoustic background noise environment. In such circumstances speech communication suffers from lack of pleasantness and/ intelligibility. To make voice communication intelligible and pleasant in such noisy environments, we …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 1, 2016 · pp. 31–39 Read article
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Six Sigma (DMAIC) Approach to Optimise Operation Variables in High Pressure Die Casting
Abstract: Components manufactured by High Pressure Die Casting (HPDC) typically have excellent mechanical and metallurgical properties, and the process generally preferred for the manufacture of high-value-added products. This research paper focuses on the implementation of the Six Sigma philosophy to optimize the variables of the HPDC manufacturing process. As a systematic outline for quality improvement and achievement business excellence, the Six Sigma philosophy has become the model of the industrial world …
Published in International Journal of Manufacturing and Materials Processing · Vol. 6, Issue 2, 2020 · pp. 22–51 Read article
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Design & Implementation of Parking System based on Microcontroller
Abstract: The development of smart cities has become very trendy in recent years. The IoT gadget that is deployed on-site as part of the suggested smart parking system is utilised to track and signalise the existence of a particular parking space. This research introduces a coordinated IoT-based architecture for an effective and simple method of parking the automobiles by determining the slots' availability. The IoT module used to monitor and signalise …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 19–25 Read article
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A Novel Method of Rice Disease Detection Based on Deep Learning
Abstract: India's main food crop is rice. Agriculture accounts for 70% of the Indian economy, yet pests and illnesses cause 37% of the production of rice to be lost. The early detection of rice diseases will prevent huge economic loss for the farmer and the proper care can assist farmers to protect their rice crops from various crop diseases. Manual illness diagnosis is a time-consuming and complex technique. Deep learning techniques …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 10–17 Read article
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An Efficient and Simple Higher Order of Shear Deformation Theory for Static and Free Vibration of Laminated Composite Plates
Abstract: In the present study, the static and free vibration of laminated composite plates is examined by using a refined shear deformation theory and developed for a bending analysis of orthotropic laminated composite plates. These models take into account the parabolic distribution of transverse shear stresses and satisfy the condition of zero shear stresses on the top and bottom surfaces of the plates. The most interesting feature of this theory is …
Published in International Journal of Composite Materials and Matrices · Vol. 2, Issue 1, 2016 · pp. 23–42 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article