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83 articles for “cascade system”
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Application of Generic Multi-criteria Economic Model for Line Balancing to a Hypothetical Organization Using Soft Computing Techniques
Abstract: Total Productive Manufacturing (TPM) is feasible only if the Overall Equipment Effectiveness (OEE) of the production line meets world-class standards. In the current research, crisp and fuzzy simulation models are developed and implemented for exploring OEE parameters for a hypothetical manufacturing organization. As OEE parameters, availability, performance efficiency, and quality, in turn, depend on several other parameters, a sort of cascaded effect is generated which can effectively be modeled as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 105–122 Read article
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Facial Recognition Based Attendance System
Abstract: In today’s fast paced world, for an organization with around 500 employees, a manual attendance system is highly inefficient and time consuming. Traditional methods of automatic attendance systems like fingerprint, RFID or iris scans are easy to bypass, as the biometric features, such systems take into consideration are far less than facial features. Our facial recognition system is used to detect a person’s face and then compare it with the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 43–49 Read article
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Model Implementation & analysis in Face Recognition and Attendance System
Abstract: Face detection involves separating image windows into two; one containing faces (turning the background (clutter). It is difficult because although commonalities exist between faces, they can vary considerably in terms of age, skin color and facial expression. The problem is further complicated by differing lighting conditions, image qualities and geometries, as well as the possibility of partial occlusion and disguise. An ideal face detector would therefore be able to detect …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 · pp. 34–40 Read article
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Online Assessment and Proctoring for Candidate Recruitment at Workplace
Abstract: In the present world, human proctoring is the most important approach to evaluation, by either providing the supervisor to visit an examination center or supervising them observably and acoustically while exam using a webcam; however, such methods are manual and costly. So, we aim to develop an automated proctoring system to detect an extensive variety of cheating behavior during an online assessment exam. The system requirement includes a working webcam …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 30–37 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 34–43 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 34–43 Read article
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Pedestrian Gait Parameter Measurement Using a Cascade of Edge and Corner Detection Technique
Abstract: ABSTRACTMost modern surveillance systems currently rely upon Closed Circuit TV feeds monitoring system. This report documents a new approach towards automating pedestrian recognition within typical video footage. The proposed work shows how the gait parameters can be measured from the video footage using the mathematical theory of Geometry and computer vision and pattern recognition technique which can be further used for recognize individuals. When people walk normal to the viewing …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 75–88 Read article
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Electromagnetic Transients in Compensated Overhead Lines with Multiple Tower Spans
Abstract: This paper addresses the analysis of the electromagnetic transients developed in an important class of non-uniform high-voltage power lines. It deals particularly with compensated long overhead high- voltage transmission lines composed of several tower spans, which are connected in cascade. The derived mathematical model leads to a system composed of simultaneous partial differential and algebraic equations, which can be solved numerically in terms of parametric functions using the software Mathematica’s …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 1–9 Read article
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Smart CCTV for Daycare
Abstract: In the modern world, security has been the most crucial issue. Closed Circuit Television (CCTV) is used to monitor, and identify the specific surrounding for surveillance and security purpose. The device warns of the presence of any individual in the vicinity and adds security by documenting the person's actions. In day-care, the footage captured by surveillance camera is critical for crime prevention and investigation. A motion detection, video capturing, and …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 44–47 Read article
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Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Solar Energy Conversion System with Maximum Power Point Tracking
Abstract: AbstractThis paper presents an algorithm that help to track the maximum power point of the solar PV module automatically. Perturb and observe algorithm is most popular algorithm. In this algorithm a slight perturbation is introduced. Due to this perturbation, the power of the module changes. If the power increases due to perturbation then the perturbation is continued in that direction. After the peak power is reached the power at the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 3, 2018 · pp. 15–20 Read article
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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Effect of Crosstalk of a Proposed Optical Cross-Connect Topology in OXC Switched WDM Networks
Abstract: ABSTRACTThis paper presents an optical wavelength division multiplexed cross-connect topology, which is modified form of the existing optical cross-connect (OXC) topologies. An analytical approach is developed for the proposed topology to explore the effect of crosstalk induced in multichannel WDM networks due to OXC. Factors that affect the magnitude of crosstalk in the OXC are investigated and different parameters are optimized to reduce the total OXC-induced crosstalk. The crosstalk performance …
Published in Trends in Opto-electro & Optical Communication · Vol. 1, Issue 1-3, 2011 · pp. 8–15 Read article
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IoT-based Indoor Safety Monitoring System for COVID-19
Abstract: This paper presents an IoT-based solution that helps enterprises, institutions and organizations comply with COVID-19 safety standards and recommendations to reduce their spread. We focused on the most popular measures for people as body temperature, wearing a mask and a social distance of at least 1.5-2 m. This project is an IoT based interior security surveillance system with following aspects: 1) Non-contact temperature measurement with a IR thermal sensor 2) …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 · pp. 17–21 Read article
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A Review on Solar Multilevel Inverter for the Production of Free Energy Due to the Structure with Long-life Feature
Abstract: Multilevel inverters play a major role in medium voltage, high power and renewable applications. It is also used in certain applications where high switching frequency, and high output voltage gain are required. The switching transient period of a MOSFET should be minimal because a high dv/dt rate could result in permanent damage to the MOSFET. The harmonics present could cause many problems and so it has to be minimized. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 13–18 Read article
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Revolutionizing EV Battery Charging: Enhancing Power Factor with Modified Bridgeless Landsman Converter
Abstract: The work focuses on the design and implementation of an innovative battery charger for electric vehicles (EVs) with a significant improvement in the power factor at the front end. The existing EV chargers often suffer from poor power factor, leading to increased losses and reduced efficiency. An altered Landsman power factor correction (PFC) converter is used in place of the traditional diode bridge rectifier (DBR) in order to solve this …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 12–20 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Design of Thin AC Converters (TACCS) using Dual Virtual Quadrature Source Concept
Abstract: Conventional grid control has been based on static assets that are switched in or out for a considerable long time. Traditionally excitation control of generators has provided continuous control in the grid system. Recently, dynamic grid control has been achieved by the use of FACTS devices, i.e. TCR, STATCOM and UPFC, etc. These FACTS devices are expensive and reliability, maintainability are the main problems. For STATCOM devices, the need to …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 41–48 Read article