All articles
117 articles
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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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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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Genetic Algorithm for Automatic Generation and Optimization of Course Timetable
Abstract: Creating a timetable is a very complex problem with multi-dimensional data. Generating these timetables manually comprises of various rounds of adjustments, to make the solution more gratifying. In this project a system will be proposed which produces an excellent solution for the timetabling problem. Here, the system will take various inputs from the users and produce the weekly timetable as output for them.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 12–19 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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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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Multi-Modal Summarization for Digital Data
Abstract: ABSTRACTText summarization aims to abbreviate input text into a compact form. Automatic data summarization is one of the field of data mining. The increase in expansion of data communication over the net makes it crucial to create Multi-Modal Summarization (MMS) from synchronous data (text, audio, image and video). The MMS method combining the techniques of Natural Language Processing (NLP), speech processing, computer vision, and Advanced Encryption Standard (AES) encryption used …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 28–34 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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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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E-learning on Cloud using Advanced Encryption Standard
Abstract: ABSTRACTVarious benefits of Information Technology have created different tools that help learning at any place and anytime. As the technology is changing, education system also needs to be changed for faster, comfortable and easy learning. E-learning plays an important role in establishing a good learning environment and also provides learners with different background, preferences, and locations to optimize the quality of learning through the delivery of learning material. Cloud providers …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 17–27 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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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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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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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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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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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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Object Detection using Machine Learning: A Survey
Abstract: ABSTRACTComputer vision techniques have become increasingly popular in the modern era. One of the applications of computer vision is in the detection of object in an image or video. In object detection a target object is detected, localized and labelled based on the type of object. Real time detection of objects in harsh environments, accuracy and speed are some of the major challenges in computer vision technology. A variety of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 7–11 Read article
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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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Topological Analysis of Artificial Neural Network
Abstract: ABSTRACT This paper analyzes the Artificial Neural Network (ANN) over the metric. The dimension, curvature and mappings are the three characteristics of analysis. The impact of ANN in finite and infinite space is also considered. The Euclidean metric is the limit of generalization. The structure of neuron and its mapping are presented over the finite dimension. The discrete and continuous structure of neurons is studied mathematically and its formulation is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 17–21 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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Existence of Ψ- Bounded Solutions for First Order Matrix Difference System on Z
Abstract: ABSTRACT In this paper a necessary and sufficient condition for the existence of
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 6–16 Read article