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897 articles for “current mode”
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Analysis of Low Bit Rate Audio Compression System using Linear Predictive Coding
Abstract: Abstract The point of the task is to build up a framework for encoding great quality discourse at a low bit rate. To execute this, we have utilized the most dominant discourse investigation system called Linear Predictive Coding (LPC). It utilizes tenth request Levinson-Durbin Recursion calculation to achieve the errand. It gives amazingly exact evaluations of discourse parameters and is moderately effective for computation. The discourse flag of guys and …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 1–6 Read article
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Vibration Monitoring of Diesel Engine Using Bioethanol from Water Hyacinth as Fuel
Abstract: For the current study, water hyacinth plants (Eichhornia crassipes) are used as raw materials for fermentation with native yeast isolated from the water hyacinth plants. Acid hydrolysis followed by fermentation with the yeasts resulted in the yield of bioethanol. Bioethanol is mixed with diesel fuel in different ratios and used in IC engines. Vibrations have direct effects on engine components therefore; analysis of vibration resulting from combustion in IC engines …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 21–33 Read article
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Evaluation of Industry 4.0 Adoption Obstacles Through the Use of SMEs
Abstract: Industry 4.0 offers significant technology advancements, but businesses must overcome several obstacles before implementing it. Although a lot of work has gone into identifying the hurdles that most businesses face, the literature currently in publication has not taken the time to examine how these barriers relate to one another or what that means for practitioners. Within the framework of Portugal's manufacturing sector, we employ the interpretative structural modelling (ISM) technique …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 24–38 Read article
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Dynamic Wind and Seismic Effect on Hexagrid Structure
Abstract: As the height of the structure increases above 80m the wind lateral forces on the structure become more and more dominant than others. Furthermore, the wind dynamic calculation required for the proper Analysis of the wind. In the current paper the wind gust force has calculated by using IS 875:2015. The calculated forces have been applied on the Steel moment frame building along with the peripheral braced system. The peripheral …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 1, 2021 · pp. 15–23 Read article
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Analysis of the Current Chopping and Breaker Stresses in Electric Power Networks
Abstract: This paper addresses the phenomenon of current chopping in electric power networks and the resulting circuit breaker transient recovery voltage. Its dependence on the pre-interruption loading conditions and the data of the power network is demonstrated. A Laplace-domain model with normalized network circuit parameters is adopted and a closed-form expression for the recovery voltage is derived. A numerical Laplace inversion technique using Mathematica is implemented in order to get its …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 1–11 Read article
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Process Mapping and Bottleneck Analysis of the Wellness Provider Deployment Cycle
Abstract: This Study focuses on understanding how a wellness service provider company currently manages the process of assigning wellness professionals—such as fitness trainers, doctors, and mental health experts—to corporate clients, and where delays tend to occur within that process. As the organization follows an aggregator-based service model, it works with a wide network of freelance professionals spread across multiple cities. While this approach allows flexibility and rapid expansion, it also makes …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 26–32 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Electrified Skateboard Simulation Using QSS Toolbox
Abstract: AbstractThe proposed aim of Electrified Skateboard is to scale down the conversion of existing vehicles running on the Internal Combustion Engine (ICE) to Battery Electric Vehicles (BEV) using Retrofitting Techniques. This approach is specifically aimed at the conversion of vehicles on a small scale. It is an interdisciplinary research model that is designed to keep in view of upcoming E-Mobility and Renewable Energy markets. Governments and Companies around the world …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 1, 2020 · pp. 18–25 Read article
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Precision in Progress: The Crucial Nexus of Instrumentation and Measurement in Biotechnology Advancements
Abstract: This comprehensive review examines the critical importance of instrumentation and measurement technologies in enabling advances across diverse domains of modern biotechnology. Detailed examples are provided demonstrating how analytical tools empower quantitative biology, drive discoveries, catalyze innovations, and provide solutions to global challenges. The historical evolution of bioanalytical techniques is traced, highlighting milestones that unleashed new capabilities. Current trends and future outlook are explored, underscoring the ongoing pivotal need for precision …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 11–19 Read article
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A Review on Loan Approval Prediction Based on Machine Learning Techniques
Abstract: The banking industry has also benefited greatly from technological advancements. An increasing number of individuals are submitting loan applications on a daily basis. When deciding which loan applicants to approve, the bank must take certain rules into account. The bank needs to choose the best one for approval based on certain characteristics. The process of carefully verifying every person and recommending them for loan approval is laborious and fraught with …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 1–11 Read article
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An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism
Abstract: Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 13–21 Read article
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GHS Label Detection Using Color Segmentation
Abstract: AbstractThis research presented the Globally Harmonized System (GHS) label detection by color segmentation approach. The researcher adapts this approach for identify boundary of each color pixels in Different environment image set. Experimental result shown the detection model have high accuracy. However, the mainly cause of error processing is asymmetrical GHS label in sample image that.Keywords: Color Segmentation, Image Processing, GHS Label Detection, Computer VisionCite this ArticleSansanee Hiranchan. GHS Label Detection …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 26–32 Read article
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Photovoltaic System Based Modified SEPIC Converter with Perturb and Observe Algorithm
Abstract: In recent years, because of the increasing demand of the electrical energy, the solar energy has been considered as one of principal renewable energy sources for electric power generation. As it has low power efficiency; to increase the extracted power from PV system is a matter of concern. To extract maximum power, a maximum power point tracking (MPPT) controller is necessary in a PV system. In this paper, a PV …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 2, 2017 · pp. 33–41 Read article
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Impacts of Power Quality Issues in Electrical Distribution System
Abstract: The adoption of new modern technology and advance electronic equipment, energy saving methods, barriers, adopting of sustainable energy arrangements, generator power supply, invertors etc... harming the power quality of the electrical distribution system. If there is some kind divergence related to current, voltage and periodic at the load side that results in failure of consumer side equipment. In this paper we are going to discuss some factors which leads to …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 3, 2021 · pp. 40–47 Read article
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A Review on Metal Additive Manufacturing Techniques and its Applications
Abstract: Additive manufacturing is a manufacturing technique that focusses on producing the parts from the computer aided engineering drawings obtained from detailed modelling. The advances in additive manufacturing has led to the development of essential technological innovations with state of the art research prospectus which facilitates the development of parts that are complex to manufacture using other manufacturing technologies. The current paper aims to provide a review of the process characteristics …
Published in Journal of Polymer & Composites · Vol. 7, Issue 3, 2019 · pp. 24–31 Read article
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Design and Performance Analysis of PMDC and BLDC Motor using ANSYS Software
Abstract: This paper connected how to design & simulate of simple PMDC Motor usage ANSYS Maxwell Software. The demand for electrical energy in cars is ascent steady. Permanent Direct Current motor is used for the radiator fan, windshield wipers & washers and to drive blowers for heaters & air conditioners, etc., having brushes which have poor efficiency. It is based on ANSYS Maxwell software which is divided into circuit modeling& field, …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 12–23 Read article
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A Comprehensive Study of Quantum Cryptography
Abstract: Quantum cryptography has emerged as one of the most promising fields in modern information security, offering innovative solutions that have the potential to transform the future of global cyber-defense. Unlike classical cryptographic systems, which depend primarily on the computational difficulty of solving complex mathematical problems, quantum cryptography is grounded in the fundamental and unbreakable laws of quantum mechanics. Core principles such as superposition, entanglement, and the uncertainty principle form the …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 12–26 Read article
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Process Optimization of Spot Welding for Galvanized Automotive Steel Sheets
Abstract: Resistance Spot Welding (RSW) is a pillar of the modern automotive industry with the usage of lightweight and high-strength products at the highest point of demand. The optimum weld quality of galvanized steel sheets which is a material of choice because of its additional corrosion protective property is however not achieved easily. This study is a well-developed data-based solution to designing the RSW process in the most efficient way, providing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 32–42 Read article
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Different NLP Libraries for Indian Languages
Abstract: Humans are by nature varied and multilingual. While English holds the title of the most commonly spoken language globally, Hindi is also widely used by people worldwide. Natural language processing (NLP) is the discipline of artificial intelligence (AI) concerned with providing computers the capacity to interpret text and spoken language in the same manner that humans can. People nowadays utilize products that employ NLP as their foundation, such as Alexa …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 8–14 Read article