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1871 articles for “Paper”
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Fuzzy Logic, Artificial Neural Network and Genetic Algorithm over Sylvester Law of Inertia based Data Analysis Technique
Abstract: ABSTRACT Compactness of the Fuzzy Logic (FL), Artificial Neural Network (ANN) and Genetic Algorithm (GA) is applied to analyze the data. This paper presents a foundation for the same in compact form over the Sylvester’s Law of Inertia (SLI). The sequence of FL, ANN and GA is studied for deciding the source of output data. The data interacts with the academic institutes. The academic planning is based on the existed …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 22–29 Read article
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A Review on Image Processing, and Artificial Intelligence for Image Analysis
Abstract: ABSTRACTIn this paper we reviewed Image processing and artificial intelligence in which a method is performed some operations on an image in order to get an improved vision or to get some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies which is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 39–43 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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Time Complexity Analysis of RSA, OTP and Hash Algorithms in Cloud Data
Abstract: ABSTRACTCloud Computing security refers to protection of data in cloud, its applications and the underlying infrastructure using some set of polices, controls and technologies. It is an important trend in information technology throughout the world. Security of a data has a major issue in cloud computing environment. Now a days the data protection technique uses symmetric and uneven encryption algorithms with the strong authentication techniques. This paper proposes the contrast …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 29–38 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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Vehicle Theft Intimation System Using GPS
Abstract: ABSTRACTThis paper is all about designing and developing a vehicle theft intimation system that is basically used for the prevention and control of theft of user vehicle. In today’s modern era, mobile phone is easily available and affordable to everyone. With help of this, the proposed system not only make calls but also access it for protecting and preventing theft of the vehicle by modifying and interfacing it with Global …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 42–47 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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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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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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IoT Based Inventory System
Abstract: In this paper, we introduce the inventory system that is based on the IoT (Internet of things) means you can monitor your data from anywhere in the world. This system is useful in many ways like in industry after manufacturing the data to measure the production per day, in the shops to monitor the food items like dal, pulses, etc., and in the restaurants for monitoring the food items. This …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 22–30 Read article
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Crime Rate Prediction System Using Machine Learning.
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 Read article
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Online Voting system
Abstract: The purpose of our research paper is to present an online voting system that enables users, candidates, and administrators to participate in online voting with ease and high security. The online portal we propose has a user-friendly and interactive interface, while maintaining a high level of security through unique security features, such as the generation of unique IDs for each user in addition to login IDs and passwords. This allows …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 38–45 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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Integrated Systems and transformation of Microelectronics to Nanoelectronics
Abstract: This paper is the study of transformational shift of microelectronics to nanoelectronics. Nanoelectronics are the electronic components manufactured a nanoscale. The current industry electronics is far dependent on silicon based technologies which have reached their heights working at micro scale and defined Moore’s Law. Hence, there are existing technologies which can be approached further for micro miniaturizations. Nanomaterials are of very small size than micro and they exhibit rare self-assembling …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 1, 2015 · pp. 16–22 Read article
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OODA Principles for Finding Unknown Malware
Abstract: This paper is planned to give a model to "OODA Principles for Finding Unknown Malware", it portrays the state's general necessities with respect to the securing and execution of intrusion prevention and detection systems with intelligence (IIPS/IIDS). This is intended to give a more profound comprehension of interruption aversion and recognition standards with knowledge may be in charge of getting, actualizing or checking such frameworks in comprehension the innovation and …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 2, 2015 · pp. 1–12 Read article
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Numerical simulation of P3HT based Organic Thin Film Transistors (OTFTs)
Abstract: This paper presents numerical simulation of P3HT based organic thin film transistors using commercially available device simulation software ATLAS from Silvaco Inc. We present a model of the P3HT based OTFTs based on the tail and the deep states, which can produce well the characteristics of the P3HT based OTFTs in both the subthreshold and the above-threshold regions. Simulation includes the hopping mobility model, Poole-Frenkel mobility model, Schottky contact, and …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 2, 2015 · pp. 13–20 Read article
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Google Cloud Messaging – A Review
Abstract: This paper exhibits a review on the timing execution of Google Cloud Messaging (GCM). We assess GCM in real world trials, and at a sensible-scale including a large number of real users. Our discoveries uncover that the GCM message conveying is erratic, specifically having a dependable association with Google’s GCM servers on the customer device does not ensure an opportune message arrival. Along these lines, GCM is not suitable for …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 2, 2015 · pp. 27–32 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