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733 articles for “Causes”
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Energy Generating Gymnasium System
Abstract: Most of the newly invented technologies entirely depend upon electricity for their proper operation. Therefore, the energy demand is increasing day by day. Energy has been a big cause for the development of human being. Conventional energy resources include fossil oil, natural gas and coal which are ultimately depleting and for this reason scientific community is shifting its attention towards renewable energy resources. In order to aid the energy crisis, …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 21–27 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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Surveillance System Using UAV
Abstract: In today’s world, there is a growing need of security and protection for people. Even though the technologies are most advanced in current era, the much effected problem faced by every people in a country like India is, their own protection. The criminal activities on humans and animals are increased day-by-day. Also, disasters like natural and man-made causes lot of problems. The fate of these acts is uncontrollable. So, we …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 27–33 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 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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A Review on Multi-Area Load Frequency Control
Abstract: The operation of interconnected deregulated power system is totally based upon the balance between power generation and the load variation including system losses. Two variables of interest which are affected due to the sudden variation in load perturbation are system frequency and tie-line power. The approach of most of the researchers towards solving this problem has been to obtain the best method of controlling the governor action so that the …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 21–39 Read article
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Gas Detection and Monitoring System with Alert Security
Abstract: Gas leakage and detection are significant concerns in our everyday routines these days. Carbon pollution has become a serious issue that must be addressed. LPG system is incredibly flammable, threatening both lives and assets. To avoid such disasters, significant effort has been put into developing reliable systems for detecting gas leaks. Some leak detection techniques were developed in order to cause the leak to be discovered, as it is not …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 2, 2021 · pp. 21–25 Read article
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Automatic Pit Detection Vehicle
Abstract: Roads make a significant contribution to economic growth, enhancement and bring essential social benefits. There are different types of road in country to fulfill the needs of human access. Roads are damaged due to constantly used by vehicles and environmental factors. Many times, road maintenance is not possible to monitor every place or because of disregard. Due to this, it causes the generation of pits which leads to unwanted traffic, …
Published in International Journal of Broadband Cellular Communication · Vol. 6, Issue 2, 2020 · pp. 1–6 Read article
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Water Quality Parameters and It’s Analysis Using IOT
Abstract: Water is the key to survival for all kind of living beings, in fact earth is the only planet on which life exists and the reason behind this is availability of water. If we consider statistically, approximately 70%of water each day goes untreated, and this untreated water ends up merging with all the waterbodies including underground water supplies. Due to underground water pollution the effect comes on cropsas the only …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 14–18 Read article
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A Review Paper on OFDM: Basic Concept & Application
Abstract: The main objective of this paper, is to review the work already done associated with channel estimation technique in Orthogonal Frequency-Division Multiplexing (OFDM) effectively mitigates the problem of inter symbol interference (ISI) caused by the delay unfold of wireless channels. Therefore, it has been utilized in many wireless systems and adopted by numerous standards. Throughout this paper, we have presented a comprehensive survey on OFDM for wireless communications and their …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 2, 2016 · pp. 1–9 Read article
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RESEARCH AND IMPLEMENTATION OF QAM SIGNAL USING TEXAS INSTRUMENTS (TMS320C6713)
Abstract: During the last two decades the growth of digital communication and modulation techniques are widely considered in real time application in order to transfer reliable information with high data rate. Since digital modulation is resistible to noise people show interest in adopting it. Though there is various modulation techniques QAM is one of the most commonly used modulation. The QAM has higher efficiency power which results its application in mobile …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 2, 2016 · pp. 26–32 Read article
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Image Processing and Restoration Through a Base Image – A Review
Abstract: ABSTRACTDigital imaging systems had been widely used for many applications including customer photography, microscopy, aerial images, astronomical imaging, and many others., their output photographs/movies frequently suffer from spatially various blur caused by lens, transmission medium, publish processing algorithms, and digicam/item motion. Measuring the amount of blur globally and regionally is a critical problem. it can assist us in getting rid of the spatially various blur and enhancing the visual of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 2, 2019 · pp. 1–8 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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Recent Trends in the Hybrid HVDC with Wind Energy a Solution to the Future Challenges in Power Transmission
Abstract: As per the recent scenario the wind energy generation is the key source of energy to avoid the greenhouse effect, since the greenhouse effect as well the global warming is a serious threat to the environment. As the current research more predominantly address the greenhouse effect, this paper concentrates more on the Green power. Hence popular to the investors, government, and general public since the 1970s. The awakening of higher …
Published in International Journal of Electrical Power System and Technology · Vol. 1, Issue 1, 2015 · pp. 1–10 Read article
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Dynamic system identification for looper tension control Using BPNN & Kalman Filtering
Abstract: System identification is an important area in control system. This paper discuss some of the reasons that causes the slow convergence of Back Propagation Neural Network (BPNN). This paper also comment on the effect of the number of neurons in the hidden layer when apply BPNN with Kalman Filtering to dynamic system identification for a looper tension control. BPNN is based on LMS, and uses steepest descent method to find …
Published in International Journal of Electrical Power System and Technology · Vol. 1, Issue 1, 2015 · pp. 38–43 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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Network Control System For DC Motor Using ANN
Abstract: Networked control systems (NCS) are distributed computing and control systems with sensors, actuators and controllers that communicate over a shared medium. The distributed nature of NCS and issues related to the shared communication medium pose significant challenges for control design, as the control system no longer follows the rules of classical control theory. The main problems that are not well covered by the traditional control theory are varying time delays …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 1, 2017 · pp. 55–75 Read article