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检索条件"任意字段=IEEE Data Compression Conference"

共 16774 条记录，以下是531-540 订阅

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Optimized ECG Signal compression and Security for Efficient Cardiac Abnormality Detection 4

Optimized ECG Signal Compression and Security for Efficient ...

引用

4th ieee International conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Roy, Vandana Baghel, Abhishek Singh Jain, Sapan Kumar Mohanty, Sribidhya Srinivasarao, G. Bhatt, Anushka Ggits Dept of Elrectronics Communication M.P Jabalpur India Ies Institute of Technology and Management Ies University Department of Computer Science & Engineering M.P Bhopal India Gyan Ganga Institute of Technology & Sciences Dept of Cse MP Jabalpur India Graphic era Deemed to be University India Chalapathi Institute of Technology Dept. of Cse AP Guntur India Ggits MP India

ISBN: (纸本)9798331518981

Protecting biological data during dissemination, this ECG waves, is becoming more important, and this work is relevant to that requirement. It is of the extreme importance to guarantee the security of transferred medical information as the amount of data sent over the web continues to rise. It proposes a watermarking approach for compressing the ECG waves in addition to securing the information. By including subject information in ECG waves in a way that doesn't change their diagnostic usefulness, watermarking makes signal blocking possible. The frequency region and the domain of space are the two primary categories of watermarking methods. Improving signal quality to accept watermarking is also covered in the chapter using the Fourier Decomposition Method (FDM). In a setting with a large amount of ECG information moving around, FDM is used to accomplish realistic data compression as well, which is similar to decoding. This prevents the expansion of storage and bandwidth requirements while yet achieving a viable signal. The proposed technique beats its predecessors in relations of SNR, PRD, and compression coefficient, as shown by simulation results. As a whole, this approach improves the security of ECG signals and data minimisation for hospitals that are handled electronically. © 2024 ieee.

关键词： Electrocardiography

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SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism

SmartCooper: Vehicular Collaborative Perception with Adaptiv...

引用

ieee International conference on Robotics and Automation (ICRA)

作者： Zhang, Yuang An, Haonan Fang, Zhengru Xu, Guowen Zhou, Yuan Chen, Xianhao Fang, Yuguang Tsinghua Univ Dept Automat Beijing Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9798350384581;9798350384574

In recent years, autonomous driving has garnered significant attention due to its potential for improving road safety through collaborative perception among connected and autonomous vehicles (CAVs). However, time-varying channel variations in vehicular transmission environments demand dynamic allocation of communication resources. Moreover, in the context of collaborative perception, it is important to recognize that not all CAVs contribute valuable data, and some CAV data even have detrimental effects on collaborative perception. In this paper, we introduce SmartCooper, an adaptive collaborative perception framework that incorporates communication optimization and a judger mechanism to facilitate CAV data fusion. Our approach begins with optimizing the connectivity of vehicles while considering communication constraints. We then train a learnable encoder to dynamically adjust the compression ratio based on the channel state information (CSI). Subsequently, we devise a judger mechanism to filter the detrimental image data reconstructed by adaptive decoders. We evaluate the effectiveness of our proposed algorithm on the OpenCOOD platform. Our results demonstrate a substantial reduction in communication costs by 23.10% compared to the non-judger scheme. Additionally, we achieve a significant improvement on the average precision of Intersection over Union (AP@IoU) by 7.15% compared with state-of-the-art schemes.

关键词： data fusion

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Memory-Efficient compression Based on Least-Squares Fitting in Convolutional Neural Network Accelerators 15

Memory-Efficient Compression Based on Least-Squares Fitting ...

引用

15th ieee International conference on ASIC, ASICON 2023

作者： Xu, Hang Xie, Chenjia Lu, Xin Du, Li Du, Yuan Nanjing University School of Electronic Science and Engineering Jiangsu210023 China

ISBN: (纸本)9798350312980

Convolutional Neural Networks (CNNs) generate massive interlayer feature data during network inference. To improve the throughput and energy efficiency in embedded systems, the feature map compression has been discussed for reducing the data movement. In this paper, we present a hardware compression scheme leveraging least-squares fitting (LSF), which substantially reduces the amount of interlayer data generated in the CNN inference process. The mean-square error (MSE) threshold for LSF fitting is optimized through a derivative-free algorithm. This work can be incorporated with Huffman coding method to further compress the interlayer data. A prototype accelerator equipped with compression scheme is implemented in TSMC 28-nm CMOS technology. We design an approximate calculation circuit to optimize the area consumption of the heavily used divider in compression method, which facilitates a remarkable reduction in area, which is less than 10% of systolic array. The compression scheme achieves 1.43x~1.70x interlayer feature map reduction by adding light hardware area overhead. © 2023 ieee.

关键词： CNN accelerators convolutional neural network interlayer feature maps least-squares fitting compression

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Extreme Bitmapping: Efficiently Sorting data for Cloud compression 11

Extreme Bitmapping: Efficiently Sorting Data for Cloud Compr...

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11th ieee International conference on Cloud Networking (CloudNet)

作者： Morup, Christian Kloborg, Anders Lindskov Lucani, Daniel E. Aarhus Univ Dept Elect & Comp Engn Aarhus Denmark

ISBN: (数字)9781665486279

ISBN: (纸本)9781665486279

This paper proposes Extreme Bitmapping, a new algorithm to concisely represent how a sorted sequence can be restored to its original, unsorted sequence. This concise representation is critical to the compression efficiency of newly proposed data compression and dual deduplication algorithms, e.g., Bonsai [1], but with potential implications in other fields. Extreme Bitmapping in the context of data compression leads to improved compression ratios while preserving the privacy-focused features of dual deduplication. Performance measurements on three datasets, including, HDFS log files, high-resolution TIF images, VDI images of different Linux distributions, show significant compression gains compared to Bonsai (up to three fold better compression) or similar state-of-the-art alternatives.

关键词： compression Cloud Storage Deduplication

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Enhanced Reversible data Hiding Scheme Based on DCT Coefficients in JPEG compression 7

Enhanced Reversible Data Hiding Scheme Based on DCT Coeffici...

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7th International conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Sudhakar, S. Dinesh Kumar, T.R. Sivasaravana Babu, S. Chandravel, M. Paul, A. Joshua Karthick Selvam, I. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350372816

data hiding approaches in Joint Photographic Experts Group (JPEG) compression that use discrete cosine transform (DCT) coefficients are gaining popularity due to their capacity to integrate more data into JPEG pictures while producing perceptible aesthetic deterioration. Reversible data concealing is critical for safe data transport and secrecy. This study presents a novel reversible information concealing strategy based on DCT coefficients in the overall setting of compressed JPEG data. The procedure starts with the intake of hosting pictures and the image meant for hiding. Using DCT's time domain evaluation, the host picture is examined to discover suitable spots for integrating binary data. A binary threshold is used to choose appropriate brightness ranges for DCT coefficients for smooth and undetectable data implantation. To improve the embedding process, a binary scale operation is performed on the picture intended for data concealment. This scaling not only maximizes the use of available embedding space but also reduces potential visual distortion, resulting in an overall enhancement in the scheme's resilience and profitability. In addition, equalizing the histogram is used to equalize the pixel intensities of the background and concealed pictures, increasing consistency and improving the overall optical level of the assembled image. Chaotic encryption is used throughout the procedure to certify the protection of the embedded informations. The contained binary data may be precisely recovered from the changed DCT values, enabling a complete recuperation of the original host picture as well as the hidden information. The findings show that the approach can accomplish bidirectional data hiding inside JPEG compression, with encrypted pictures visualizing the effective incorporation of hidden data. This project is powered by MATLAB software. © 2024 ieee.

关键词： Chaos Encryption Discrete Cosine Transform (DCT) Histogram Equalization Joint Photographic Experts Group (JPEG) Reversible data hiding (RDH)

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Modified Unitary data Storage Method

Modified Unitary Data Storage Method

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2025 Systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2025

作者： Terekhov, Alexey N. Korchagina, Alla S. Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9798331532635

The article is intended to consider a method of data storage based on the use of a modified relative unary coding system. During the research, it is planned to develop a data storage algorithm using relative unary code. It is planned to identify the disadvantages and advantages of the proposed algorithm. Suggest a method for the utilitarian application of the developed algorithm for relative information storage. Provide formulas for the utilitarian application of the developed algorithm for relative information storage. To test the functionality of the model, create software that implements the developed algorithm for relative information storage. Show that the information sequences used in the method are mutually orthogonal and belong to the orthonormal Euclidean space. Establish additional ways to reduce information redundancy that increase the compression ratio of the unary data encoding method. Adapt the data compression method by encoding the lengths of the series for use in the developed algorithm for relative information storage. Evaluate the efficiency of data storage in the relative storage algorithm. © 2025 ieee.

关键词： Storage efficiency

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Exploring Multiple Algorithms for Lossless Electrocardiogram compression 3

Exploring Multiple Algorithms for Lossless Electrocardiogram...

引用

3rd ieee International conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Manjula, B.M. Naik, S. Shreeya B. Anjaneva, Spoorthi Anusha, G.K. Goutham, M.A. Nitte Meenakshi Institute Of Technology Dept Of Ece Bangalore India Adichunchanagiri Institute Of Technology Dept Of Ece Chikkamagaluru India

ISBN: (纸本)9798350318609

As a solution to the problem of large amounts of ECG data in resource-constrained settings, this paper discusses effective lossless compression techniques. Through the integration of algorithmic optimizations and predictive coding approaches, it has achieved significant reductions in signal size without sacrificing critical information. Huffman Encoding is the most effective technique among the various techniques examined. It yields compression ratios between 0.26 and 0.45 and Quality Scores between 0.037 and 0.081. These outcomes demonstrate how well our method works to preserve signal integrity while drastically lowering transmission and storage costs. This paper tries to significantly improve healthcare outcomes by tackling these issues, especially in situations when resource optimization is essential. © 2024 ieee.

关键词： Electrocardiograms

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Concurrent Encryption and Lossless compression using Inversion Ranks

Concurrent Encryption and Lossless Compression using Inversi...

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data compression conference (DCC)

作者： Koc, Basar Arnavut, Ziya Kocak, Huseyin Stetson Univ Dept Comp Sci Deland FL 32723 USA SUNY Coll Fredonia Dept Comp Sci Fredonia NY 14063 USA Univ Miami Dept Comp Sci Coral Gables FL 33124 USA

ISBN: (纸本)9781665478939

For secure and efficient transmission or storage, data files are commonly compressed and encrypted. In this work, we introduce a cost-effective encryption method of files as a built-in component of a lossless compression algorithm, thus avoiding the added cost of employing two separate processes. We have shown in earlier studies that preprocessing data with Burrows-Wheeler Transformation followed by Inversion Ranking transformation in advance of the utilization of an entropy coder resulted in an extremely effective general-purpose lossless compression technique [1], [2]. During the compression process, we encrypt the frequency vector of the Inversion Ranking transformation and transmit it along with the compressed data. Since the frequency vector is required for decompression, no further encryption is necessary to secure the compressed file, see Figure 1.

关键词： Costs data compression Entropy Encryption compression algorithms

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IoT Sensor data Stream compression with Hybrid compression Algorithms 15

IoT Sensor Data Stream Compression with Hybrid Compression A...

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15th International conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Garikipati, Karthik Muppala, Tejaswi Vinitha Chowdary, A. Sahay, Apurvanand Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350370249

The recent world advancement in technology especially in the use of IoT devices has posed some serious complications in terms of how effectively we can convey data, this is normally a result of the limited bandwidth and power capacity. In this paper, we look into the need for efficient data compression in IoT devices and come up with a new approach to compress the data stream needed for IoT sensors. In this paper, we propose to integrate Dynamic Huffman Coding with Run Length Encoding smoothly as one novel network coding strategy to decrease the load carried by the communication channels and at the same time ensure the originality of the transmitted data. The proposed method is based on the use of RLE to remove a lot of redundant data and dynamic Huffman coding for further data compression. When compared with other central algorithms like dynamic Huffman, static Huffman, RLE, LZW, ZLIB, LZMA, and BZ2 this hybrid approach provided more efficient compression ratios and consumed less power. compression can be considered an essential paradigm for IoT devices because it can minimize the restrictions associated with the prevention of limited bandwidths and power sources that are characteristic of such devices, which results in improved data sending and a longer lifespan of devices. As substantiated by the findings from our experiments, this approach holds a high degree of effectiveness and, therefore, is suitable for the IoT domain with a scarcity of resources in particular. The contributions of this research support the promotion of compression strategies while considering the IoT-specific needs thus enhancing standard system outcomes and durability. © 2024 ieee.

关键词： Bandwidth Constraints BZ2 data compression Dynamic Huffman Coding Hybrid Techniques Internet of Things (IoT) IoT Sensors LZMA LZW Power Constraints RLE Run-Length Encoding Static Huffman Coding ZLIB

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Optimized Hardware Architecture of Tile to Raster Scan Buffer for Video Decoder and Display Processor

Optimized Hardware Architecture of Tile to Raster Scan Buffe...

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ieee International conference on Consumer Electronics (ICCE)

作者： Seong, Han-Soo Jung, Choonsik Samsung Elect Co Ltd Hwasung South Korea

ISBN: (纸本)9781665491303

As market is driving larger-sized TVs and display devices, video compression codec and video image processing algorithm are being developed with higher (4K to 8K) video resolution. It is critical to implement an optimized display system to satisfy the increasing needs for external memory bandwidth. In this paper, we propose an optimized hardware architecture of tile to raster scan line buffer. The tile to raster scan line buffer converts the video image data stored in tiled format to the raster scan order for display devices. Using the pattern of tile to raster scan order, the double buffering used by conventional system is removed and a simplified buffer access algorithm for real-time hardware implementation is proposed. The proposed method reduces buffer size by 50% compared to the conventional architecture.

关键词： TV Image resolution Image coding Memory management Bandwidth Streaming media Video compression

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