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共 127 条记录，以下是1-10 订阅

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Optimization and Deployment of Joint Source-Channel coding for Enhance Future 6G Network Performance 1

Optimization and Deployment of Joint Source-Channel Coding f...

引用

1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Acharjya, Kalyan Thimmappa, Arunkumar Devalapura Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

Research on semantic communication has advanced because of deep learning in the construction for collaborative (joint) resource-channel coding (JSCC) project. Deep learning technology (DL)-based JSCC systems currently in practice are developed based upon a preset signal-to-noise ratio (SNR);though, such design is not intended in situations when SNR is changing. Thus, new semantic adaptive system with the semantic adaption modal selectioning (SAMS) modules is developed for semantic communication (SC). It is named collaborative (joint) resource-channel coding with adaptive models (AMJSCC). Both the real-time channel circumstances as well as the model's computing capabilities are taken into account by collaborative (joint) resource-channel encoding (JSCE) & collaborative (joint) resource-channel decoding (JSCD) models. In order to further increase the precision of information recovery, residual networks with various layers are also being studied. Simulation findings show that the model is flexible with the SNR as well as communication services, and it can achieve increased recovery similarity. Meanwhile, it uses less store space and communication resources than the most advanced deep JSCC techniques. © 2025 IEEE.

关键词： Signal to noise ratio

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A Hybrid Approach Using Cryptography and K-Least Significant Bit steganography Algorithm in Cloud computing 1

A Hybrid Approach Using Cryptography and K-Least Significant...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Goyal, Anshika Gupta, Bhumika VMSB Uttarakhand Technical University Dept. of Computer Science & Engineering Dehradun India G.B. Pant Institute of Engineering & Technology Dept. of Computer Science & Engineering Pauri India

ISBN: (纸本)9798331518578

The exponential growth of communication technologies has broadened the cloud computing ecosystem horizon to meet main communication needs. However, in-parallel upsurge in online attacks has alarmed industries to ensure optimal data security. The combination of steganography and cryptosystems has been recognized as an enhanced security model for data transfer among the main security systems now in use. In this paper, a hybrid approach using cryptography and K- Least Significant Bit steganography algorithm in Cloud computing (HYBC-KLSBS-CC) are proposed. Initially, input text data is retrieved from cloud storage and compressed using Huffman Compression coding (HCC) to reduce data size. The compressed data is then encrypted with a Hybrid Cryptography Algorithm (Hyb-MRFC-ALC), combining Modified Random Fibonacci Cryptography and Asymmetric Lightweight Cryptography to ensure robust encryption. Finally, encrypted data is embedded within an image using the K-Least Significant Bit (KLSB) steganography technique, providing additional layer of security. The proposed method enhances data confidentiality, integrity, and storage efficiency in cloud environments. The proposed HYBC-KLSBS-CC approach attains 26.89%, 29.49% and 18.64% lower PSNR and 26.89%, 29.49% and 18.64% lower MSE when analyzed through existing techniques like data security dependent on cryptography steganography related with OTP procedure and Huffman coding in the cloud environment (CS-OTP-CE), a novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control (AES-OTP-RSA-CC) and Crypto-stegno dependent model for securing medical information on IOMT platform (CS-SMI-IOMT). © 2025 IEEE.

关键词： Cloud platforms

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Multimodality Frequency Feature Customized Learning for Pediatric Ventricular Septal Defects Identification

Multimodality Frequency Feature Customized Learning for Pedi...

引用

Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

作者： Jin, Feifei Zhao, Cheng Yang, Peng Xiang, Zhuo Chen, Xunyi Zhang, Yu Fan, Shumin Zhou, Luyao Chen, Weiling Wang, Tianfu Lei, Baiying School of Biomedical Engineering Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging Shenzhen University National-Regional Key Technology Engineering Laboratory for Medical Ultrasound Shenzhen China Ultrasound Department Shenzhen Children Hospital Shenzhen China

ISBN: (纸本)9783031845246

Ventricular septal defects (VSD) can be more effectively identified by combining anatomical structural features from 2D grayscale images and blood flow information from Doppler images. Most current algorithms only perform the same operation on features and do not take into account that different frequency features focus on the expression of different information. starting from the perspective of frequency and multi-modality, this paper designs a method called multimodality frequency feature customized learning (MFCL) for the identification of VSD. Specifically, this paper first constructs a frequency decomposition module (FD) based on the Fourier transform to extract high-frequency and low-frequency features corresponding to different modes. Secondly, this paper designs a cross-pooling fusion Transformer (CPFT) module tailored for multimodality low-frequency features, which can achieve the fusion of multi-modality global information while reducing computational costs. This paper designs a cross-convolution fusion (CCF) module tailored for multi-modality high-frequency features to achieve the fusion of anatomical structure detail features of 2D grayscale images and blood flow information of color Doppler images. Experimental results show that the proposed algorithm is superior to the comparison methods for VSD identification. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Image coding

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Machine Learning and the Internet of Things for Industrial Process Improvement 1st

Machine Learning and the Internet of Things for Industrial P...

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1st international conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024

作者： Salagrama, Shailaja Garg, Amit Logeshwaran, J. Kushwaha, Satpal Singh Kumar, Rajan Department of Information Technology University of the Cumberland’s WilliamsburgKY United States Department of CSE Manipal University Jaipur Rajasthan Jaipur India Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Tamil Nadu Coimbatore India Department of CSE Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9783031714832

Since its inception in the 1980s and early proof of principle for hardware in the 2000s, quantum computing has made tremendous strides. Despite the fact that the technology is still in the process of being developed, there are a number of people who believe that machines known as Noisy Intermediate Scale Quantum (NISQ) could soon outperform conventional computers. This is the result of the rapid development of hardware connected to quantum computing as well as the significant financial expenditures that have been made in many countries all over the world. In this chapter, a deep review on various applications of quantum computing is conducted. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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OctMesh-interactive mesh browsing over the Internet 1

OctMesh-interactive mesh browsing over the Internet

引用

1st international conference on information technology: coding and computing, itcc 2000

作者： Wang, Hongwu Li, Jin Microsoft Research China Sigma Center 5F No. 49 Zhichun Road Haidian District Beijing100080 China

ISBN: (纸本)0769505406

This paper proposes OctMesh, an interactive mesh browsing scheme over the Internet. In OctMesh, a large-scale mesh is encoded into one bit-stream, which is organized with respect to spatial locality and resolution. When the mesh is viewed over the Internet, by examining the user's viewpoint, the compressed mesh with desired locality and resolution is streamed to the client. OctMesh enables a large-scale mesh to be viewed quickly, over the Internet. © 2000 IEEE.

关键词： Internet mesh coding progressive view-dependent

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Real-time collaboration in heterogeneous computing environments 1

Real-time collaboration in heterogeneous computing environme...

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1st international conference on information technology: coding and computing, itcc 2000

作者： Marsic, I. Department of Electrical and Computer Engineering Rutgers - The State University of New Jersey PiscatawayNJ08854-8058 United States

ISBN: (纸本)0769505406

The recent proliferation of computing devices and the contexts in which they are used demand diversity in collaborative applications as well. The objective of our research is to enable conferees to share applications that are adapted to their (heterogeneous) computing environments. This is achieved by using eXtensible Markup Language (XML) for the communication medium. The conferees share the same data or a subset of that data represented in XML, but they may see it displayed in different ways as needed or desired. The framework adapts to the computing and network environment and transforms information so that it matches the client's local capabilities and resources. © 2000 IEEE.

关键词： Groupware

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General-purpose processor Huffman encoding extension 1

General-purpose processor Huffman encoding extension

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1st international conference on information technology: coding and computing, itcc 2000

作者： Wong, S. Cotofana, S. Vassiliadis, S. Electrical Engineering Department Delft University of Technology Delft Netherlands

ISBN: (纸本)0769505406

This paper proposes an extension to general-purpose architectures to improve the performance of multimedia operations. More specifically, we consider the multimedia JPEG/MPEG standards and investigate the possibility to accelerate the Huffman encoding operation which is a known performance limiting function found in these standards. Our investigation suggests that it is possible to decrease the total number of execution cycles by 9% to 12% when the proposed unit is implemented as an extension to existing general-purpose hardware. This new extension is intended to be an integral part of a multimedia functional unit (MFU) that performs specific multimedia operations in a time efficient manner. © 2000 IEEE.

关键词： Signal encoding

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Modelling multi-player games traffic 1

Modelling multi-player games traffic

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1st international conference on information technology: coding and computing, itcc 2000

作者： Bangun, R.A. Dutkiewicz, E. Telecommunications and Information Technology Research Institute School of Electrical Computer and Telecommunications Engineering University of Wollongong Northfields Avenue WollongongNSW2522 Australia

ISBN: (纸本)0769505406

The growing popularity of delay-sensitive multi-player games over the Internet is creating a need for proper characterisation of such traffic. We are currently developing source models for game traffic, on a per-player basis, with the intended use being to scale the models to simulate scenarios involving large numbers of players, which will enable us to observe the effects of game traffic on the network. We outline the procedure used, and we show that for certain cases, relatively simple source models are able to provide sufficiently accurate results (in terms of mean delay and mean buffer occupancy). © 2000 IEEE.

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Recursive depth estimation from a sequence of images 1

Recursive depth estimation from a sequence of images

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1st international conference on information technology: coding and computing, itcc 2000

作者： Shantaram, V. Hanmandlu, M. Caribbean Institute of Technology P.O. Box 349 Montego Freezone Montego Bay Jamaica Dept. of Electrical Engg. I. I. T. Delhi New Delhi110 016 India

ISBN: (纸本)0769505406

This paper gives the theoretical framework for recursively estimating the depth and motion parameters from the image motion equation derived using the spherical projection. An extended Kalman filter is employed for estimation. Results have been found to be encouraging in some cases when applied on two case studies involving vase and cube respectively. © 2000 IEEE.

关键词： Equations of motion

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How do image statistics impact lossy coding performance? 1

How do image statistics impact lossy coding performance?

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1st international conference on information technology: coding and computing, itcc 2000

作者： Saha, S. Vemuri, R. University of California DavisCA United States

ISBN: (纸本)0769505406

It has been observed (Saha and Vemuri, 1999) that when we compress a variety of images of different types using a fixed wavelet filter, the peak signal-to-noise ratio (PSNR) values vary widely from image to image. This large variation in PSNR by as much as 30 dB, can only be attributed to the nature and inherent characteristics of the image, since everything else is fixed. In this paper, we analyze the set of test images to determine the features in the images that may cause the coding performance variations. It is shown that most of the gray-level image features do not have any direct effect on the coding performance, and image activity measure is the only feature that has a correlation with the PSNR value. © 2000 IEEE.

关键词： Signal to noise ratio

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