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58 articles for “Data embedding technique”
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Embedding and Extraction of Watermark in Digital Audio
Abstract: AbstractDigital Watermarking, a discipline of steganography, is used to hide within an image or audio file some data specifically relating to that file. An enormous amount of work has been carried out in the field of Image Watermarking. Due to the increasing incidents of audio piracy and illegal retrieval of audio files over the internet, the field of audio watermarking has widespread attention from industry and researchers. In this paper, …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 8–12 Read article
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A Gui Model for the Encryption and Decryption of an Image
Abstract: Digital watermarking is the processing of combined information into a digital signal. A watermark is a secondary image, which is overlaid on the host image, and provides a means of protecting the image. It acts as a digital signature, giving the image a sense of ownership or authenticity. Digital watermarking technique is very impressive for image authentication or protection for attacks. This paper proposes a separable reversible data hiding in …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 3, 2015 · pp. 47–54 Read article
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Abandoned Object Detection via Temporal Consistency Modeling for Visual Surveillance
Abstract: This paper introduces a successful approach for distinguishing abandoned luggage in surveillance recordings. We join short- and long-term foundation models to concentrate on closer view of objects, where every pixel in an information picture is named a 2 bit code. In this manner, we acquaint a structure with recognized static frontal areas in light of the worldly move of code designs, and to figure out if the applicant districts contain …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 1–6 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Information Hiding Using HTML
Abstract: Abstract: This paper provides a promenade for data hiding. Steganography is the technique which makes it possible to send data without altering in it. Data is stored in the form of stego data and then transmitted secretly. Various techniques for steganography are proposed till date which ensures the integrity and confidentiality of data stored in HTML documents. Proposed technology works on effectiveness of data hiding in HTML documents using the …
Published in Journal of Operating Systems Development & Trends · Vol. 6, Issue 3, 2019 · pp. 22–29 Read article
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Refractive Index Measurement Using Integrated Fiber Optics Triangulation Technique
Abstract: Quantitative and qualitative analytical techniques are of considerable importance for the purpose of detection, identification and measurement in biomedical application. Over the years, several methods have been developed to detect and quantify various biological samples. However each of this method presents certain limitations pertaining to its sensitivity, accuracy, and reproducibility. The recent trend to improve biochemical analysis is to provide a platform, which is more sensitive, accurate, portable, rapid and …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 32–37 Read article
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Dimensionality Reduction Techniques and their Applications in Cancer Classification: A Comprehensive Review
Abstract: Dimensionality reduction techniques have become a vital tool in the investigation of high-dimensional data like gene expression profiles in cancer research. Here is a review, we deliver a comprehensive overview of dimensionality reduction techniques and their applications in cancer classification. Firstly, we introduce the concepts and approaches of dimensionality reduction, and after that, we explore several methods for decreasing dimensionality. These techniques include Linear Discriminant Analysis (LDA), Principal Component Analysis …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 35–45 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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Digital Image Watermarking using Discrete Cosine Transform
Abstract: Digital image processing is a growing field. Digital image processing operations are mainly divided into three major categories: Image enhancement, Image compression and Image segmentation. Digital Watermarking comes under image segmentation. The present paper proposes the technique for the digital watermarking for digital multimedia. The growth in e-world which is coupled with computer network, world wide web and more over exponential advancement in computer performance. All these technologies has facilitated …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 1, Issue 2, 2013 · pp. 17–22 Read article
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Digital Watermarking Schemes for Authorization of Color Images using DCT
Abstract: AbstractDigital image processing is growing field. Digital image processing operations are mainly divided into three major categories: Image enhancement, Image compression and Image segmentation. Digital Watermarking comes under Image Segmentation. The present paper proposes the technique for the digital watermarking for digital multimedia. The growth in e-world which is coupled with computer network, world wide web and more over exponential advancement in computer performance. All these technologies has facilitated the …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 3, 2013 · pp. 15–20 Read article
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WEBPAGE EXTRACTION AND RETRIEVAL CHATBOT
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Opinion Polls: Election Result Prediction Using Social Networking Sites - A Review
Abstract: AbstractThe impact of social media is increasing and is being embedded in daily life as it provides a platform for people to express their opinions, sentiments and feelings towards any particular topic. So the data from social media is used by researchers as a data source for opinion mining or sentiment analysis. It can be used to discover political preference of users regarding elections as it has become the most …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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Secured Communication and Image Authentication: Embedding Encrypted Text Files Into Color Digital Images
Abstract: In today's digital landscape, protecting digital assets, particularly images, is paramount. Researchers have developed various techniques to safeguard these assets, emphasizing their protection and integrity. Simultaneously, steganography plays a crucial role in securely communicating confidential messages. This paper focuses on a dual-purpose technique: watermarking color digital images for protection and embedding secret messages through steganography. This fusion of functionalities represents a significant step in comprehensive asset protection and confidential communication …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 1, 2024 · pp. 10–15 Read article
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Embedding High Reliability in Computer Aided Drug Designing by Fault Forecasting Software Fault Tolerance Model
Abstract: Reliability and fault free environment is always a key important factor in any computer aided system. The one key factor is software fault. Faults can be reside and arise anywhere anytime though it is very well tested. In life critical systems/applications, fault must be tolerated at any cost.. Drug discovery and development are very time and resources consuming processes. It is very challenging era for today’s market. Computational techniques to …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 4, Issue 2, 2017 · pp. 24–29 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Design and Implementation of a Real-Time ANPR-OCR Based Embedded System for Automated Vehicle Compliance Verification-Checking Valid PUC and Insurance
Abstract: With the rapid increase in vehicle ownership, ensuring adherence to traffic regulations has become essential, particularly concerning vehicle insurance and Pollution Under Control (PUC) certification. Non-compliance with these requirements can lead to financial risks, legal violations, and environmental damage. Traditional enforcement methods rely on manual inspections, which are time-consuming, inefficient, and prone to human error. To address these challenges, this paper proposes an automated system that utilizes Automatic Number Plate …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Enhancing Healthcare Record Modeling Through Graph Convolutional Networks: Overcoming Challenges and Advancing Data Management and Analysis
Abstract: Modeling healthcare records data as a graph database presents various challenges due to the complex nature of healthcare information and its interconnectedness. In this research endeavor, our primary objective is to pinpoint the major obstacles within this field and present potential remedies to tackle them effectively. By leveraging machine learning techniques, we aim to enhance the efficiency and accuracy of healthcare record modeling, facilitating better data management and analysis. One …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 39–50 Read article
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Optimizing Image Processing with Verilog on FPGA: Techniques and Performance Enhancements
Abstract: The integration of image processing algorithms into hardware platforms, particularly FPGAs, presents a compelling opportunity for achieving high performance, low latency, and power efficiency in real-time applications. This study focuses on designing and implementing Verilog HDL-based optimal image processing methods for FPGA-based systems. The study explores the development of core algorithms, including edge detection, image enhancement, and adaptive filtering, to maximize resource utilization and processing speed on hardware platforms. Key …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 46–53 Read article
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Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors
Abstract: The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 434–458 Read article