Shuguang Cui's Books

Mobile Big Data

By: Xiang Cheng,Luoyang Fang,Liuqing Yang,Shuguang Cui

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Mobile Big Data

By: Xiang Cheng,Luoyang Fang,Liuqing Yang,Shuguang Cui

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China. In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge. This book targets researchers, practitioners and professors relevant to this field. Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading.

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Page Count

132

Publisher

Springer

Published Date

ISBN 10

3319961160

ISBN 13

9783319961163

Energy Harvesting Wireless Communications

By: Chuang Huang,Sheng Zhou,Jie Xu,Zhisheng Niu,Rui Zhang,Shuguang Cui

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Energy Harvesting Wireless Communications

By: Chuang Huang,Sheng Zhou,Jie Xu,Zhisheng Niu,Rui Zhang,Shuguang Cui

em style="mso-bidi-font-style: normal;"Energy Harvesting Wireless Communications offers a review of the most current research as well as the basic concepts, key ideas and powerful tools of energy harvesting wireless communications. Energy harvesting is both renewable and cheap and has the potential for many applications in future wireless communication systems to power transceivers by utilizing environmental energy such as solar, thermal, wind, and kinetic energy. The authors—noted experts in the field—explore the power allocation for point-to-point energy harvesting channels, power allocation for multi-node energy harvesting channels, and cross-layer design for energy harvesting links. In addition, they offer an in-depth examination of energy harvesting network optimization and cover topics such as energy harvesting ad hoc networks, cost aware design for energy harvesting assisted cellular networks, and energy harvesting in next generation cellular networks.

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Page Count

336

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119295971

ISBN 13

9781119295976

Network Robustness under Large-Scale Attacks

By: Qing Zhou,Long Gao,Ruifang Liu,Shuguang Cui

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Network Robustness under Large-Scale Attacks

By: Qing Zhou,Long Gao,Ruifang Liu,Shuguang Cui

Network Robustness under Large-Scale Attacks provides the analysis of network robustness under attacks, with a focus on large-scale correlated physical attacks. The book begins with a thorough overview of the latest research and techniques to analyze the network responses to different types of attacks over various network topologies and connection models. It then introduces a new large-scale physical attack model coined as area attack, under which a new network robustness measure is introduced and applied to study the network responses. With this book, readers will learn the necessary tools to evaluate how a complex network responds to random and possibly correlated attacks.

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Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461448603

ISBN 13

9781461448600

Machine Learning Algorithms

Adversarial Robustness in Signal Processing

By: Fuwei Li,Lifeng Lai,Shuguang Cui

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Machine Learning Algorithms

Adversarial Robustness in Signal Processing

By: Fuwei Li,Lifeng Lai,Shuguang Cui

This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.

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Page Count

109

Publisher

Springer Nature

Published Date

ISBN 10

3031163753

ISBN 13

9783031163753

Road Vehicle Dynamics

By: Rao V Dukkipati,Jian Pang,Mohamad S Qatu,Gang Sheng,Zuo Shuguang

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Road Vehicle Dynamics

By: Rao V Dukkipati,Jian Pang,Mohamad S Qatu,Gang Sheng,Zuo Shuguang

This book provides a detailed and well-rounded overview of the dynamics of road vehicle systems. Readers will come to understand how physical laws, human factor considerations, and design choices come together to affect a vehicle's ride, handling, braking, and acceleration. Following an introduction and general review of dynamics, topics include: analysis of dynamic systems; tire dynamics; ride dynamics; vehicle rollover analysis; handling dynamics; braking; acceleration; and total vehicle dynamics.

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