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2022 IEEE Future Networks World Forum, FNWF 2022

作者： Kataria, Deepak Walid, Anwar Daneshmand, Mahmoud Dutta, Ashutosh Enright, Michael A. Gu, Rentao Lackpour, Alex Ramachandran, Prakash Wang, Honggang Chen, Chi-Ming Chng, Baw Darema, Frederica Ip Junction United States Nokia Bell Labs United States Stevens Institute of Technology United States Johns Hopkins University Applied Physics Lab United States Quantum Dimension Inc. United States Bupt China Drexel University United States Dell Technologies United States EOTF India UMass Dartmouth United States United States Bawman Llc United States Info Symbiotic Systems Society United States

ISBN: (纸本)9781665462501

In the evolution of artificial Intelligence (AI) and machine learning (ML), reasoning, knowledge representation, planning, learning, natural language processing, perception, and the ability to move and manipulate objects have been widely used. These features enable the creation of intelligent mechanisms for decision support to overcome the limits of human knowledge processing. In addition, ML algorithms enable applications to draw conclusions and make predictions based on existing data without human supervision, leading to quick, near-optimal solutions even in problems with high dimensionality. Hence, autonomy is a key aspect of current and future AI/ML algorithms. This chapter focuses on the development and implementation of AI/ML technologies for 5G and future networks. The objective is to illustrate how these technologies can be smoothly migrated into 5G systems to increase their performance and to decrease their cost. To that end, this chapter presents the Drivers, Needs, Challenges, Enablers, and Potential Solutions identified for the AI/ML field as applicable to future networks over three-, five-, and ten-year horizons. AI/ML applications for 5G are wide and diverse. In this document, some of the key areas are described which includes networking, securing, cloud computing and others. Over time, this white paper will evolve to encompass even more areas where AI/ML technologies can improve future network performance objectives. © 2022 IEEE.

关键词： Cloud computing

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Software defined radio-based mixed signal detection laboratories for enhancing undergraduate communication and networking curricula 125

Software defined radio-based mixed signal detection laborato...

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125th ASEE Annual conference and Exposition

作者： Wu, Zhiqiang Wang, Bin Cheng, Chi-Hao Cao, Deng Zhang, Zhiping Wright State University United States Miami University United States Central State University United States

Communication and networking courses, especially wireless communication and networking courses, have become more and more important in many disciplines such as Electrical Engineering, Computer Science, and Computer Engineering. Due to costly hardware needed for communication and networking teaching laboratories, many of these courses are taught without a laboratory. In the rare cases of existing labs, such hardware based teaching labs lack the flexibility to evolve over time and adapt to different environments. Supported by a NSF TUES type II project, we have developed a series of software defined radio (SDR) based mixed signal detection laboratories for enhancing undergraduate communication and networking curricula. In our previous NSF funded CCLI project "Evolvable wireless laboratory design and implementation for enhancing undergraduate wireless engineering education", we have developed and demonstrated the first nationwide example of evolvable SDR based laboratories for three existing undergraduate courses. In this project, we are developing new lab components that can be adopted by multiple courses ranging from freshman year introductory course to senior year capstone design projects. Specifically, in this paper, we report the development of a SDR based mixed radio frequency signal detection platform with a graphical user interface (GUI). This user-friendly GUI will allow students to adjust RF parameters such as carrier frequency, symbol rate, pulse shaping filter, etc., and mix multiple RF signals together. Additionally, students are able to observe the transmitted signal in both time and frequency at both transmitter and receiver. At receiver side, the SDR based platform also provides students the functionality of performing RF signal detection via different detection methods including energy based detection, waveform based detection, and cyclostationary analysis based detection. It is shown that by exploiting sophisticated signal processing techniques such a

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Secure multimedia Big Data Sharing in Social Networks Using Fingerprinting and Encryption in the JPEG2000 Compressed Domain 13

Secure Multimedia Big Data Sharing in Social Networks Using ...

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13th IEEE International conference on Trust Security and Privacy in computing and Communications (TrustCom)

作者： Ye, Conghuan Xiong, Zenggang Ding, Yaoming Li, Jiping Wang, Guangwei Zhang, Xuemin Zhang, Kaibing Univ Sci & Technol Sch Comp & Informat Sci Xiaogan 432000 Peoples R China

ISBN: (纸本)9781479965137

With the advent of social networks and cloud computing, the amount of multimedia data produced and communicated within social networks is rapidly increasing. In the mean time, social networking platform based on cloud computing has made multimedia big data sharing in social network easier and more efficient. The growth of social multimedia, as demonstrated by social networking sites such as Facebook and YouTube, combined with advances in multimedia content analysis, underscores potential risks for malicious use such as illegal copying, piracy, plagiarism, and misappropriation. Therefore, secure multimedia sharing and traitor tracing issues have become critical and urgent in social network. In this paper, we propose a scheme for implementing the Tree-Structured Harr (TSH) transform in a homomorphic encrypted domain for fingerprinting using social network analysis with the purpose of protecting media distribution in social networks. The motivation is to map hierarchical community structure of social network into tree structure of TSH transform for JPEG2000 coding, encryption and fingerprinting. Firstly, the fingerprint code is produced using social network analysis. Secondly, the encrypted content is decomposed by the TSH transform. Thirdly, the content is fingerprinted in the TSH transform domain. At last, the encrypted and fingerprinted contents are delivered to users via hybrid multicast-unicast. The use of fingerprinting along with encryption can provide a double-layer of protection to media sharing in social networks. Theory analysis and experimental results show the effectiveness of the proposed scheme.

关键词： Cryptography

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Minimum Distortion Variance Concatenated Block Codes for Embedded Source Transmission

Minimum Distortion Variance Concatenated Block Codes for Emb...

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International conference on computing, networking and Communications (ICNC)

作者： Arslan, Suayb S. Quantum Corp Adv Dev Lab Irvine CA 92617 USA

ISBN: (纸本)9781479923588

Some of the state-of-art multimedia source encoders produce embedded source bit streams that upon the reliable reception of only a fraction of the total bit stream, the decoder is able reconstruct the source up to a basic quality. Reliable reception of later source bits gradually improve the decoder reconstruction quality. Examples include scalable extensions of H.264/AVC and progressive image coders such as JPEG2000. To provide an efficient protection for embedded source bit streams, a concatenated block coding mechanism using a minimum mean distortion criterion was considered in the past. Although, the original design was shown to achieve mean distortion characteristics better than that of previous research, the proposed coding structure was leading to dramatic quality fluctuations. In this paper, a modification of the original design is first presented and then the second order statistics of the distortion is taken into account in the optimization. More specifically, an extension scheme is proposed using a minimum distortion variance optimization criterion. This robust system design is tested for an image transmission scenario. Numerical results show that the proposed extension achieves significantly lower variance than the original design, while showing similar mean distortion performance using both convolutional codes and low density parity check codes.

关键词： block codes concatenated codes convolutional codes encoding higher order statistics parity check codes video coding H.264-AVC JPEG2000 concatenated block codes convolutional codes decoder reconstruction quality embedded source bit streams embedded source transmission image transmission low density parity check codes minimum distortion variance optimization progressive image coders quality fluctuations reliable reception second order statistics state-of-art multimedia source encoders total bit stream Block codes Decoding Image reconstruction Optimization Receivers Streaming media

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Secure multimedia Big Data Sharing in Social Networks Using Fingerprinting and Encryption in the JPEG2000 Compressed Domain

Secure Multimedia Big Data Sharing in Social Networks Using ...

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IEEE International conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Conghuan Ye Zenggang Xiong Yaoming Ding Jiping Li Guangwei Wang Xuemin Zhang Kaibing Zhang School of Computer and Information Science University of Science and Technology Xiaogan China

ISBN: (纸本)9781479965144

关键词： Social network services multimedia communication Transforms Communities Encryption

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Two-Dimensional Discrete Wavelet Transform on Large Images for Hybrid computing Architectures: GPU and CELL

Two-Dimensional Discrete Wavelet Transform on Large Images f...

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17th International Euro-Par conference on Parallel Processing

作者： Blazewicz, Marek Ciznicki, Milosz Kopta, Piotr Kurowski, Krzysztof Lichocki, Pawel Poznan Supercomp & Networking Ctr Noskowskiego 10 PL-61704 Poznan Poland

ISBN: (纸本)9783642297373;9783642297366

The Discrete Wavelet Transform (DWT) has gained the momentum in signal processing and image compression over the last decade bringing the concept up to the level of new image coding standard JPEG2000. Thanks to many added values in DWT, in particular inherent multi-resolution nature, wavelet-coding schemes are suitable for various applications where scalability and tolerable degradation are relevant. Moreover, as we demonstrate in this paper, it can be used as a perfect benchmarking procedure for more sophisticated data compression and multimedia applications using General Purpose Graphical Processor Units (GPGPUs). Thus, in this paper we show and compare experiments performed on reference implementations of DWT on Cell Broadband Engine Architecture (Cell B.E) and nVidia Graphical Processing Units (GPUs). The achieved results show clearly that although both GPU and Cell B.E. are being considered as representatives of the same hybrid architecture devices class they differ greatly in programming style and optimization techniques that need to be taken into account during the development. In order to show the speedup, the parallel algorithm has been compared to sequential computation performed on the x86 architecture.

关键词： Discrete Wavelet Transform JPEG200 GPU CELL

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A multi scale adaptive compression approach with application to peripheral artery CT images

A multi scale adaptive compression approach with application...

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2012 International conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012

作者： Firoozbakht, M. Martini, M.G. Qanadli, S.D. Zahedi, S. Dehmeshki, J. Department of Computer Engineering Islamic Azad University South Tehran Branch Tehran Iran Wireless Multimedia Networking Research Group Faculty of Science Engineering and Computing Kingston University London Penrhyn Road Kingston upon Thames KT1 2EE United Kingdom Cardiovascular and International Radiology Department of Radiology University of Lausanne Switzerland Royal Holloway University of London Egham Surrey TW20 OEX United Kingdom Faculty of Science Engineering and Computing Kingston University London Penrhyn Road Kingston upon Thames KT1 2EE United Kingdom

ISBN: (纸本)9781601322258

Advances in medical imaging technologies, particularly multi-detector Computed Tomography (CT), have resulted in substantial increase in the size of datasets. In order to reduce the cost of storage and diagnostic analysis without significant reduction in image quality, a state of the art image compression technique is required. A context based and region of interest (ROI) based approach for the compression of 3D CT images is proposed. The method is developed based on JP2000 to provide a variable level of compression in the three dimensions(x, y, and z). The proposed lossy-to-lossless method compresses multiple ROIs depending on the degrees of clinical interest. High priority areas are assigned a higher precision (up to lossless) than other areas such as background. ROIs were annotated automatically. The method is optimized and applied to the vascular images for peripheral arteries and compared with a standard medical image codec on 10 datasets regarding image quality and diagnostic performances. The average sizes of the compressed images are reduced with no remarkable impairment for the diagnostic accuracy.

关键词： Image quality

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A multi level adaptive compression approach for 3D CT images

A multi level adaptive compression approach for 3D CT images

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IASTED International conference on Visualization, Imaging and Image Processing, VIIP 2012

作者： Firoozbakht, Mohsen Martini, Maria G. Qanadli, Salah D. Zahedi, Sara Dehmeshki, Jamshid Department of Computer Engineering South Tehran Branch Islamic Azad University Tehran Iran Wireless Multimedia Networking Research Group Faculty of Science Engineering and Computing Kingston University London Penrhyn Road Kingston upon Thames KT1 2EE United Kingdom Department of Radiology Cardiovascular and International Radiology University of Lausanne Switzerland Royal Holloway University of London Egham Surrey TW20 0EX United Kingdom Kingston University London Penrhyn Road Kingston upon Thames KT1 2EE United Kingdom

ISBN: (纸本)9780889869264

Advances in medical imaging technologies, particularly magnetic resonance imaging and multi-detector Computed Tomography (CT), have resulted in substantial increase in the size of datasets. In order to reduce the cost of storage and diagnostic analysis and transmission time without significant reduction in image quality, a state of the art image compression technique is required. We propose a context based and regions of interest (ROI) based approach for the compression of 3D CT images and in particular vascular images, where a high spatial resolution and contrast sensitivity is required in specific areas;the methodology is developed based on the Jpeg2000 standard to provide a variable level of compression in the (x,y) plane as well as in the z axis. The proposed lossy-to-lossless method compresses multiple ROIs depending on the degrees of clinical interest. High priority areas are assigned a higher precision (up to lossless compression) than other areas such as background. ROIs are annotated automatically. The method was optimized and applied to the vascular images from CT angiography for peripheral arteries and compared with a standard medical image codec on 10 datasets regarding image quality and diagnostic performances. The average size of the compressed images can be reduced to 61 percent with no remarkable impairment for the diagnostic accuracy.

关键词： Image quality

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The Characteristics of Spread Spectrum CDMA Based Systems and China Market Impacts

The Characteristics of Spread Spectrum CDMA Based Systems an...

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International conference on Wireless Communications, networking and Mobile computing (WiCom)

作者： Tristan Daladier Engouang Liu Yun School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9781612846842

The new generations of mobile technologies and the services, they aim to offer have been a subject of debate in the wireless world for the past two decades. Because the only factor to meet the world standard development's requirement is all about using the information technology [1], the developments in the mobile industries have shown a very important advancement as the mobile data consumption enables not only to improve the capacity in the coverage of mobile network, but also to increase the capabilities of mobile applications. Accessing and transmitting high definitions data such as high-speed data, voice signal, video, multimedia and internet is now possible with spread spectrum code division multiple access based techniques[2]. With the mobile technologies becoming a part of our daily life in recent years, the actual wireless network structure has changed because of the huge demand of data traffic, and different multiple access schemes arising likely three being adopted as international standard for digital communication by the third generation partnership project (3GPP). In order to support the digital communication among the still growing community and from wherever their geographical location is, these three standards have been well implemented and spread all over with an unpredictable speed in China. For about a decade now in China, three major carriers China Mobile, China Unicom and China Telecom are providing respectively the TD- SCDMA, W-CDMA and CDMA 2000, with an important impact that influenced the China market, experiencing an unprecedented growth and success lately in terms of the increasing demand in wireless technology consumption with hardware and software. Meanwhile the Chinese TD-SCDMA has influenced considerably to globally reduce the system license cost proposed by patent holders. In this paper, we present a comprehensive review of spread spectrum CDMA scheme based system with a focus on key techniques of capacity and capabilities. We expound

关键词： Multiaccess communication Mobile communication Base stations Wireless communication Mobile computing Bandwidth Interference

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Introduction to the ICME2010 Special Issue

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IEEE TRANSACTIONS ON multimedia 2011年第3期13卷 417-420页

作者： Liu, Zicheng Sun, Ming-Ting Lin, Chia-Wen Zhang, Zhengyou Liu, Zhu Chen, Homer H. Tan, Yap-Peng Au, Oscar C. Microsoft Res Redmond WA USA Univ Washington Dept Elect Engn Seattle WA 98195 USA Natl Tsing Hua Univ Dept Elect Engn Hsinchu Taiwan AT&T Labs Res Middletown NJ USA Natl Taiwan Univ Coll Elect Engn & Comp Sci Taipei 10764 Taiwan Nanyang Technol Univ Div Informat Engn Sch Elect & Elect Engn Singapore Singapore Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China

The 15 papers in this special issue are extended versions of papers presented at the 2010 IEEE International conference on multimedia and Expo (ICME), held in Singapore on July 19-23, 2010. These papers cover a wide range of topics in multimedia including user interface, content understanding, mobility, 3-D processing, storage, and forensics.

关键词： Special issues and sections Meetings multimedia systems User interfaces multimedia computing

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