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2000 articles for “methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimal Allocation of SVC by JAYA Techniques in Power System Networks using IEEE-14 and IEEE-30 Bus System
Abstract: Voltage stability in the electrical networks is crucial for secure operation. Voltage instability and voltage collapse, which are the fundamental issues in the power system, have become unavoidable recently because of their strained operations for rising load. The Static Var Compensator (SVC) has been placed in the best possible spot in this article using the JAYA approach. The voltage profile is maintained by using the JAYA approach and the optimal …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 1–9 Read article
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Solar Tracker System and DC Charger
Abstract: The potential for solar tracking systems and DC chargers as sustainable energy technology is examined in this research report. According to the study, solar tracking devices can boost solar panel performance by up to 30%, and DC chargers offer an efficient and quick way to recharge electric vehicles. The results demonstrate the potential of these technologies in the shift to a low-carbon economy and point to areas that require additional …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 10–15 Read article
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Voltage stability analysis in Power system using PMUs and UPFC
Abstract: Voltage instability has drawn the attention of both researchers and utilities due to the numerous system outages that have been linked to it over the past several decades in many places of universe. The improvement of synchrophasor techniques enables real-time monitoring and management of the network’s stability in voltage concern. This study recommends employing strategically placed synchrophasor measuring units (PMUs) to measure the margin of voltage-stability on-line and control it …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 2, 2023 · pp. 40–47 Read article
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Recognition of Vehicle Number Plate Using Mathematical Morphology and Neural Networks
Abstract: This paper presents a method for recognition of the vehicle number plate from the image using neural networks and mathematical morphology. The main theme is to use different morphological operations in such a way so that the number plate of the vehicle can be extracted efficiently. The technique makes the extraction of the plate independent of color, location and size of number plate. The proposed approach can be divided into …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 1–4 Read article
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Direction to Diagnosis by Artificial Neural Network
Abstract: ABSTRACT The diagnosis is presented by the Artificial Neural Network (ANN) in this paper. The method of diagnosis from the data over the ANN is discussed in this paper. The structure of ANN is classified by the coding and probability. Each neuron is set over the data for the diagnosis under the context of minimization of error and maximization of efficiency. Thus, the direction is presented over the mathematical analysis …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Image Processing and Restoration Through a Base Image Using Geometrical Transformation
Abstract: ABSTRACTThe imaging systems have wide use among number of applications, including commercial photography, microscopy, aerial photography, astronomical and space imaging, etc. Many a times the output images or a video suffers from blur due to lenses, transmission medium, algorithms or a camera/person motion. The amount of blur can be measured and it’s an important issue. Image processing and restoration is a technique to enhance the quality of an image or …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 12–28 Read article
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Analysis and Minimization of Limit Cycles in Fuzzy Control Systems
Abstract: ABSTRACTLimit cycles are an important and critical phenomenon commonly found in a class of non-linear control systems. Limit cycles can be observed in different areas of engineering and natural systems. These are frequently found in an aircraft wing fluttering, where the interaction of aerodynamic forces and structural vibrations are present. The design of a control system using fuzzy logic controllers (FLC) are non-linear in nature. The presence of limit cycles …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 1–10 Read article
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Comprehensive Study on Secured Password Authentication with Encrypted Negative Password and AuthStore
Abstract: ABSTRACTEncrypted negative password (ENP) system uses the method where the passwords are first shredded then transferred to negative password and finally coded and stored within the authentication archive. Pre-computation attacks (e.g., Rainbow table and Lookup table attacks) are unavoidable since processor and storage resources are being plenteous. Only hashing is not enough. The encrypted negative password system still can resist the pre-computation attacks. Thus, by securing the sheets with negative …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 11–16 Read article
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Book Recommendation System Using Item-based Collaborative Filtering Technique and Cosine Similarity
Abstract: The quality of generated recommendations in collaborative filtering recommendation algorithms is determined by how accurately the similarity is calculated. There are multiple ways to improve the accuracy of similarity calculation. All the methods include calculation of user-ratings matrix, user-attribute matrix and item-attribute matrix. Collaborative filtering has two approaches namely user-based Collaborative Filtering and item-based collaborative filtering. This paper discusses item-based collaborative filtering using cosine similarity for determining similar items.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 20–27 Read article
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Innovative Approach for Sugarcane Plantation
Abstract: Sugarcane planting with traditional methods is costly, time consuming, it needs great human force,more numbers of sugarcane stalk. Also because of unskilled labor stressed or diseased bud may getplanted. To solve this problem we designed algorithm for atomization of sugarcane planting machineusing image processing. It detects the nodes efficiently and locates the cut point for stalk cutting. Itreject to cut the stalk if sugarcane suffered by Stress or disease like …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 7–12 Read article
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Using an Embedded System for Accurately Diagnosis of Bone Tumors and of Selection of the Best Treatment in Real Time
Abstract: An embedded system is the use of a combination of a programmable device and software to operate that device in order to perform a specific desired operation. The article presents a developed embedded system that combines an IR spectrophotometer and a programmable logic controller (PLC), controlledby a specially developed "Spectrum" program for accurately diagnosis of bone tumors and of selection of the optimal treatment for the detected disease in real …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 27–32 Read article
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Real-time Face Mask Detection with Face Recognition Using MobileNetV2
Abstract: In 2019, human civilization faced one of the scariest pandemics in a century. The government advises people to wear a mask for their safety. But there are some cases when we find people without masks,and monitoring all of them manually is not a practical solution in today's world. We needed a method that does this job automatically with higher efficiency. To solve the problem, we have performed face mask detection …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article
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A Proposed Model for Cloud Security Controlled by CS Using Reactive Programming
Abstract: Security in the Cloud In our suggested approach, the popular reactive programming paradigm has been used as a novel solution. In this research, we evaluate and minimise the execution time for the model proposed in cloud security, where security control is delegated to the CS(Cloud expert) of a certain company based on predetermined alternatives. The synchronisation of concurrent operations as well as the manipulation of real-time We faced some data …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 1–11 Read article
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Diabetic Retinopathy Detection from Retinal Images Using Convolutional Neural Network
Abstract: Diabetic retinopathy (DR) is a popular problem of diabetes and the major reasons of loss of sight in the active inhabitants. Many of the problems of DR can be avoided by blood glucose manage and regular remedy. Since the kinds and the difficulties of DR, it is actually hard for DR detection in the time-consuming regular analysis. This document is to effort towards discovering an automated method to sort out …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 8–17 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Speech Recognition-Controlled Car Using Arduino-UNO
Abstract: The IoT (Internet of Things) based voice-controlled car is a revolutionary concept that combines the power of connectivity and voice recognition technology to enhance the driving experience. This system allows users to control various aspects of a car using voice commands, making it convenient and hands-free. Users can interact with the car from anywhere using their smartphones via Bluetooth. This project demonstrates how to build a voice-controlled robotic car with …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 1–6 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Enhancing Telemedicine Services in Disaster Recovery Operations with Sustainable Communication Infrastructure
Abstract: This paper tackles the complex challenge of ensuring reliable telemedicine services in disaster zones by proposing a self-sustaining Disaster Recovery Network (DRN) infrastructure. We present a blend of innovative methods and algorithms to overcome logistical hurdles in establishing an eco-friendly DRN. Our work delves deep into the system's inner workings, pinpointing key performance indicators and measuring its effectiveness. A central theme is the seamless integration of diverse reliability approaches. In …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 43–59 Read article
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Equivalent Circuits For High Frequency Bipolar Transistors
Abstract: Two types of equivalent circuits were considered to represent small signal/linear bipolar transistor behaviour at high frequencies. Elements/Parameters of the equivalent circuits are extracted from measured S parameters using gradient method by Fletcher-Powell. Exact gradients of S parameters were determined by using gradient conversion matrix formula between two-port open circuit impedance parameters and two port scattering parameters. Good agreement between measured and simulated all the four two port S parameters …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 1, 2017 · pp. 1–9 Read article