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348 articles for “A algorithm.”
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Intelligent Smart Battery-Based Storage for Wind Generator and Photovoltaic Systems
Abstract: In this paper, an intelligent savvy battery-based storage (BBS) system for wind generator (WG) and photovoltaic (PV) frameworks has been presented. The BBS is made out of an asymmetric cascaded H-bridge multilevel inverter (ACMI) with staircase regulation. The structure is parallel to the WG and PV frameworks, enabling the ACMI to have a decrease in power misfortunes contrasted with the typical solution for capacity associated at the DC connection of …
Published in International Journal of Electrical Power System and Technology · Vol. 4, Issue 2, 2018 · pp. 12–27 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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Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings
Abstract: ABSTRACTThis paper gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines and image processing. Keywords: Glaucoma, HOG, SVM, image processing, Embedded computing.Cite this Article: Fazlulla Khan, Ashok Kusagur. Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings. International Journal of Embedded Systems and Emerging Technologies. 2019; …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 1–6 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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Privacy Policy Summarization and Detection of Unfair Clauses
Abstract: ABSTRACTLess than 1% of all users read the privacy policies (or terms and conditions) that accompany software products. This can be attributed to their low level of readability, length, and complexity. Hence, this allows corporations to sneak in clauses which may compromise a user’s privacy, allowing them to use their data for monetary benefit. For example, corporations may sell user data to third parties for targeted advertising. To tackle this, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 35–41 Read article
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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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Analysis of EEG Signal for Brain Computer Interface
Abstract: Brain-computer interface (BCI) frameworks causes a subject to issue commands to an electronic device just by methods for brain activity. EEG has wide applications in the brain-computer interface (BCI) systems. Sadly, the spatial resolution of EEG is very low, because of the volume conduction. While measuring signals related to motor movements various artefacts also get added. We have studied pre-processing techniques and classification techniques which improve performance. While there are …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 6–11 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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A Research Paper on Self Driving Car
Abstract: A summary of the main idea of this subject is to extend the autonomous community of the vehicle, they will explore their environment, and are able to move without human intervention. This article suggests that vehicle automation, with the help of the placement of road signs, traffic signs, barriers, warning, response, and decision, including the fact that changing the direction of the car, to prevent the raspberry screen, the prevention …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 1–6 Read article
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Diffusion based Low-Light Image Enhancement
Abstract: Sometimes the visual quality of images is affected by imperfect imaging conditions such as low-light,foggy weather, cloudy weather and night-time lighting. This poor quality of images affects the performances of many computer vision algorithms which are specially designed for high-qualityimages. In this paper, we are introducing a simple and effective method to enhance the low-light images based on the Retinex theory, in which the illumination-map is made to be region …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 29–34 Read article
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DUAL BATTERY BLOCK SYSTEM FOR ELECTRIC VEHICLES
Abstract: This work is aimed at the enlargement of the driving range in electric vehicles by improving the performance of the battery bench through a new configuration. The new design is based on a double battery bench, working in parallel, one of high discharge rate characteristics and the other of standard discharge rate. The operation of the double battery bench is regulated by a control system that drains current from the …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 30–56 Read article
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Developed Software “Medical Office” as Main Part of Embedded Computing Medical System
Abstract: The embedded system is a combination of computer hardware and software, designed to develop and implement algorithms in programming languages in such a way as to use several computers as automated workstations of a doctor to solve the general problem of medicine - the coverage of monitoring patients, their treatment and predicting the results of treatment in large medical center or centers.This goal is achieved through the development of such …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 17–29 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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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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Performance Comparison of the two-stage Kalman Filtering Techniques for Density Prediction
Abstract: The advanced optimal partitioned state Kalman estimator (OPSKE) developed to overwhelm these problems of traditional approaches. In this article, we compare performance of the OPSKE with the OTSKE and the AUSKE in the maneuvering target tracking (MTT) badly behaved. We provide some analytic results to demonstrate the computational advantages of the OPSKE. Author of this paper compare these two algorithms with target tracking problem, because in that problem they dealing …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 1, 2016 · pp. 8–16 Read article
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Modelling and Control of Higher Rating DC Motor with GA-Based Optimized PID Controller
Abstract: The usage of the common kind dc motors has its extended past. It has been used in the productions for numerous ages currently. They deliver humble means and exact method of controller. In addition, they have high efficiency and have a high starting torque versus falling speed characteristics which helps high starting torque and helps to prevent sudden load rise. But with such characteristics, the dc motors have some deficiencies …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 1, 2015 · pp. 23–30 Read article
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Cluster-Based Secure Communication Using Short Path Selection in MATLAB
Abstract: The wireless sensor networks (WSNs) consists of several autonomous sensor nodes with sensing, processing and wireless communication capabilities. In this work, the sensor network security issues are resolved in clustered network when a new node enters into the network. In this present work, two-stage authenticated communication is defined. The first-level authentication is applied between the base station and the cluster head. In this process, the public key cryptography is applied …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 21–29 Read article
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An Approach for prediction of Heart Diseases using Data Mining Techniques
Abstract: ABSTRACT The healthcare enterprise collects big quantities of Healthcare statistics; however, sadly nolonger all of the facts are mined that is required for discovering hidden styles and effectivedecision making. In this paper, we advise efficient genetic algorithm with the againpropagation approach technique for heart disorder prediction. This paper has analyzedprediction systems for coronary heart diseases the use of records mining strategies. Thegadget makes use of scientific phrases inclusive of gender, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 8–21 Read article
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Development of a Ray-tracing Program and its Application in Characterizing the Range of HF Radio Propagation in the Equatorial Ionosphere
Abstract: A ray tracing program which is an algorithm that can be used to describe the complex nature of the ionosphere has been developed using locally available resources. The International Reference Ionosphere (IRI) Ionospheric Model were incorporated into the program for evaluating electron density values. Complex refractive indices of the ionosphere were generated using Appletone-Hartree formula with no collision and magnetic field effects. The program applies Snell’s law of refraction in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 1–11 Read article
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A Study on Effective Management and Financial Reporting Examines how Artificial Intelligence (AI) Affects Business Subfields
Abstract: This study examines how artificial intelligence (AI) transforms many business domains, including strategy, operations, finance, and marketing, and evaluates how it affects corporate expansion. The main goal is to uncover the mediating functions of excellent financial reporting and effective business management following AI integration. The research highlights artificial intelligence's dominance in commercial decision-making, crediting it to its ability to handle historical data, manage uncertainty, and provide probabilistic forecasts. In particular, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 35–33 Read article