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139 articles for “data compression”
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Data Compression for Backbone Network
Abstract: This article involves the application of data compression techniques to improve the efficiency and performance of the core infrastructure of modern digital networks. This approach focuses on reducing the size of transmitted data without compromising its quality, aiming to enhance network throughput, reduce latency, and minimize energy consumption. The study also considers practical implementation challenges and trade-offs to optimize resource utilization in backbone networks. We delve into various compression methods, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 30–40 Read article
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Adaptive Huffman Algorithm for Data Compression Using Text Clustering and Multiple Character Modification
Abstract: Adaptive Huffman algorithm is a popular data compression technique that creates a variable-length binary code for each symbol in a message. However, the original algorithm may not be efficient in compressing text data, particularly when dealing with long sequences of repeated characters. In this study, we propose a novel approach to enhance the compression ratio of the Adaptive Huffman algorithm by utilizing text clustering and multiple character modification. The proposed …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 30–40 Read article
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A Short Survey of Data Compression Techniques for Column Oriented Databases
Abstract: AbstractColumn oriented data-stores has all values of a single column stored as a row followed by all values of the next column. Such way of storing records helps in data compression since values of the same column are of the similar type and may repeat. This paper surveys the various data compression techniques in column oriented databases. Data compression is efficiently used to save storage space and network bandwidth. It …
Published in Current Trends in Information Technology · Vol. 3, Issue 2, 2013 · pp. 1–6 Read article
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Detailed Analysis of Various Data Compression Techniques
Abstract: Data compression refers to reducing the volume of space needed to keep data or reducing the amount of time required to transmit the data. The size of data is diminished by removing the unnecessary information. In this study many different data compression techniques have been studied, such as Shannon Fano, Shannon Fano Elias, Huffman binary and ternary coding. It is found that Huffman coding is the most suitable among these …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 1–4 Read article
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EEG Data Compression Using Communication Techniques for PMS
Abstract: Compression of EEG (Biological) is an important issue as concern to the telemedicine area. Many of researchers have carried out the work in this domain but still the area provides an ample space for research. This research aims to develop algorithm for the compression of EEG data. In this research the constructive communication modules are used to compress the EEG data. Thirty two channels are used to load the real …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 1–6 Read article
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A Dynamic Text Compression Model for Big Data Applications Using Hadoop
Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Matrix Factorization and Tensor Decomposition at Scale: Mathematical Foundations and Computational Approaches
Abstract: Matrix factorization and tensor decomposition techniques have emerged as fundamental tools in machine learning and data science for handling high dimensional data efficiently. This paper presents a comprehensive analysis of scalable matrix factorization and tensor decomposition methods, focusing on their mathematical foundations, computational complexity, and practical applications. We examine key algorithms including Singular Value Decomposition (SVD), Non-negative Matrix Factorization (NMF), CP decomposition, and Tucker decomposition, with particular emphasis on their …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 56–59 Read article
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Gray Wolf Optimization Based Clustering Using Network Parameters for WSN Applications
Abstract: Modern communication systems need to use energy. This is very important for the Internet of things which’s a big network of smart devices that talk to each other. The Internet of Things is becoming very popular because it is useful. This paper is about a way to send data in a Wireless Sensor Network. We made a routing protocol that works well in a simulated environment. Our approach is to …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 33–42 Read article
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Development and Performance Evaluation of Efficient Low-Complexity SPIHT Image Coder
Abstract: Wavelet transform is one of the advanced, effective and computationally fast methods for image data as well as video compression. The wavelet based image compression is particularly a nonreversible method that has been growing computationally more complicated as they getting more accurate and reliable. In this work we have developed an image compression technique based on main concepts related to partial ordering of the coefficients of image matrix elements by …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 5–10 Read article
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Implementation of Compression and Decompression using LZW Algorithm
Abstract: AbstractMany compression techniques are used to minimize the amount of memory that is to be used to store the data. One such compression technique is by using LZW algorithm. The purpose of this is to present a data compression and decompression software to reduce the amount of memory used for storing data. By using data compression, stream of symbols is transformed into codes. For effective compression, the resultant stream of …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management
Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Cloud Storage Deduplication Based on Cryptography Techniques
Abstract: In the present circumstances, numerous approaches are utilized for the removal of duplicating a copy for repeating data. One among the beneficial data compression approach is data de-duplication. It could minimize the significant amount ofspace for storageand also save the band widthwhen making use of cloud storage space. The security can be provided by confidentiality of the raw data files, although facilitating de-duplicated data files are encrypted by the proposed …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 1–8 Read article
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Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
Abstract: This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can be improved which are used for data exploration, or search for those features which has deeper relationship amongst the variable, which relies on greater extent on visual methods. However, for multidimensional data set with real time data collected captured using sensors or real time applications, redundant and unused or wanted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article
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A Correct and Simple Method of Writing PFC Codes
Abstract: Data compression (DC) is thriftiness in conveying information and is akin to précise that is, the goal is to convey the same or essential information using fewer resources. In electronic engineering, it occupies an important place because it reduces the size/amount of (i) memory required to store information just like précis reduces the size of an article; (ii) bandwidth required to transmit the information—just as less number of passengers means …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 8–13 Read article
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Challenges and Opportunities in Spatio Temporal Data Analysis
Abstract: Spatiotemporal data analytics is a dynamic field that seeks to extract valuable information from data that integrates both spatial and temporal dimensions. This article explores the importance of this emerging field and its applications in a variety of fields, including environmental science, public health, and urban planning. Spatiotemporal data analysis addresses important research questions, such as determining event probabilities, understanding change patterns, identifying associations between events, and predicting events Future. …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 1–11 Read article
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A Comorbid Algorithm to Significantly Compress Text Contents of Several Web Pages in Conformational Dynamics
Abstract: In this paper, we presented and achieved the compressing scheme of the textual language contents of several web pages. It presents a validation approach of detected alignment links between characters within the transcript through the mathematical transformation of a multimodal document framework of multimedia features. This entailment process exploits several features, from the structural level of the computational linguistics and its tokens. The obtained results provide the future foundation of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 2, 2014 · pp. 1–3 Read article
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A Common Mode Scan Based BIST for Stuck-at-Fault and Path Delay Fault
Abstract: Testing for delay and stuck-at faults requires two pattern tests and test sets are usually large. Built-in self-test (BIST) scheme is attractive for comprehensive testing. The BIST test pattern generators (TPGs) for such testing should be designed to ensure high pattern-pair coverage. In the proposed work, necessary and sufficient conditions to ensure complete/maximal pattern-pair coverage for sequential circuit have been derived. A new test data-compression scheme is an effective approach …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 72–78 Read article
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Survey of System-on-Chip Modular Test Approach
Abstract: The advancement in semiconductor technology over the past few decades has enabled the industry to develop new design and reuse methodologies referred as System-on-chip (SoC) design. These typically integrate heterogeneous mix of various complex analog and digital cores, with all their necessary electronic circuitry. The recent advancements have led to the use of the 3D structures (3D-SOCs) that brought along the benefits of higher performance, minimum average interconnect length, reduced …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 3, 2016 · pp. 56–70 Read article