Huijun Wu's Books

Heron Streaming

Fundamentals, Applications, Operations, and Insights

By: Huijun Wu,Maosong Fu

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Heron Streaming

Fundamentals, Applications, Operations, and Insights

By: Huijun Wu,Maosong Fu

This book provides both a basic understanding of stream processing in general, and practical guidance for development and research with Apache Heron in particular. It delivers to developers of streaming applications basic and systematic knowledge about Heron, which is today only scattered across project documents, technique blogs and code snippets on the Web. The book is organized in four parts: Part I describes basic knowledge about stream processing, Apache Storm, and Apache Heron (Incubating), and also introduces the Heron source repository. Part II then goes into details and describes two data models to write Heron topologies and often used topology features, including stateful processing. This part is especially targeted at software developers who write topologies using Heron APIs. Next, part III describes Heron tools, including the command-line interface and the user interface, needed to manage a single topology or multiple topologies in a data center. This part is particularly aimed at operators who deploy and manage running jobs. Eventually, part IV describes the Heron source code and how to customize or extend Heron. This part is especially suggested for software engineers who would like to contribute code to the Heron repository and who are curious about Heron insights. Overall, this book aims at professionals who want to process streaming data based on Apache Heron. A basic knowledge of Java and Bash commands for Linux is assumed.

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208

Publisher

Springer Nature

Published Date

ISBN 10

3030600947

ISBN 13

9783030600945

Mobile Cloud Computing

Foundations and Service Models

By: Dijiang Huang,Huijun Wu

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Mobile Cloud Computing

Foundations and Service Models

By: Dijiang Huang,Huijun Wu

Mobile Cloud Computing: Foundations and Service Models combines cloud computing, mobile computing and wireless networking to bring new computational resources for mobile users, network operators and cloud computing providers. The book provides the latest research and development insights on mobile cloud computing, beginning with an exploration of the foundations of cloud computing, existing cloud infrastructures classifications, virtualization techniques and service models. It then examines the approaches to building cloud services using a bottom-up approach, describing data center design, cloud networking and software orchestration solutions, showing how these solutions support mobile devices and services. The book describes mobile cloud clouding concepts with a particular focus on a user-centric approach, presenting a distributed mobile cloud service model called POEM to manage mobile cloud resource and compose mobile cloud applications. It concludes with a close examination of the security and privacy issues of mobile clouds. - Shows how to construct new mobile cloud based applications - Contains detailed approaches to address security challenges in mobile cloud computing - Includes a case study using vehicular cloud

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338

Publisher

Morgan Kaufmann

Published Date

ISBN 10

0128096446

ISBN 13

9780128096444

Robust Filtering for Uncertain Systems

A Parameter-Dependent Approach

By: Huijun Gao,Xianwei Li

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Robust Filtering for Uncertain Systems

A Parameter-Dependent Approach

By: Huijun Gao,Xianwei Li

This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and H¥ filtering, are addressed and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features: · design approaches to robust filters arranged according to varying complexity level and emphasizing robust filtering in the parameter-dependent framework for the first time; · guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance; · a unified linear matrix inequality formulation of design approaches for easy and effective filter design; · demonstration of the techniques of matrix decoupling technique, the generalized Kalman‒Yakubovich‒Popov lemma, the free weighting matrix technique and the delay modelling approach, in robust filtering; · numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and · an account of emerging issues on robust filtering for research to inspire future investigation. Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.

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Page Count

259

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3319059033

ISBN 13

9783319059037

Nonlinear Stochastic Systems with Network-Induced Phenomena

Recursive Filtering and Sliding-Mode Design

By: Jun Hu,Zidong Wang,Huijun Gao

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Nonlinear Stochastic Systems with Network-Induced Phenomena

Recursive Filtering and Sliding-Mode Design

By: Jun Hu,Zidong Wang,Huijun Gao

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: · the state-of-the-art of nonlinear filtering and control; · recent advances in recursive filtering and sliding mode control; and · their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

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230

Publisher

Springer

Published Date

ISBN 10

3319087118

ISBN 13

9783319087115

Robust Environmental Perception and Reliability Control for Intelligent Vehicles

By: Huihui Pan,Jue Wang,Xinghu Yu,Weichao Sun,Huijun Gao

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Robust Environmental Perception and Reliability Control for Intelligent Vehicles

By: Huihui Pan,Jue Wang,Xinghu Yu,Weichao Sun,Huijun Gao

This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability control in a systematic way, this book is aimed at guaranteeing that intelligent vehicles can run safely in complex road traffic scenes. Adopts the multi-sensor data fusion-based neural networks to environmental perception fault tolerance algorithms, solving the problem of perception reliability when some sensors fail by using data redundancy. Presents the camera-based monocular approach to implement the robust perception tasks, which introduces sequential feature association and depth hint augmentation, and introduces seven adaptive methods. Proposes efficient and robust semantic segmentation of traffic scenes through real-time deep dual-resolution networks and representation separation of vision transformers. Focuses on trajectory prediction and proposes phased and progressive trajectory prediction methods that is more consistent with human psychological characteristics, which is able to take both social interactions and personal intentions into account. Puts forward methods based on conditional random field and multi-task segmentation learning to solve the robust multi-object tracking problem for environment perception in autonomous vehicle scenarios. Presents the novel reliability control strategies of intelligent vehicles to optimize the dynamic tracking performance and investigates the completely unknown autonomous vehicle tracking issues with actuator faults.

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Page Count

308

Publisher

Springer Nature

Published Date

ISBN 10

9819977908

ISBN 13

9789819977901

Consensus Over Switching Network Topology: Characterizing System Parameters and Joint Connectivity

By: Jiahu Qin,Qichao Ma,Huijun Gao,Wei Xing Zheng,Yu Kang

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Consensus Over Switching Network Topology: Characterizing System Parameters and Joint Connectivity

By: Jiahu Qin,Qichao Ma,Huijun Gao,Wei Xing Zheng,Yu Kang

This book aims to extend existing works on consensus of multi-agent systems systematically. The agents to be considered range from double integrators to generic linear systems. The primary goal is to explicitly characterize how agent parameters, which reflect both self-dynamics and inner coupling of each agent, and switching network topologies jointly influence the collective behaviors. A series of necessary and/or sufficient conditions for exponential consensus are derived. The contents of this book are as follows. Chapter 1 provides the background and briefly reviews the advances of consensus of multi-agent systems. Chapter 2 addresses the consensus problem of double integrators over directed switching network topologies. It is proven that exponential consensus can be secured under very mild conditions incorporating the damping gain and network topology. Chapter 3 considers generic linear systems with undirected switching network topologies. Necessary and sufficient conditions on agent parameters and connectivity of the communication graph for exponential consensus are provided. Chapter 4 furthers the study of consensus for multiple generic linear systems by considering directed switching network topologies. How agent parameters and joint connectivity work together for reaching consensus is characterized from an algebraic and geometric view. Chapter 5 extends the design and analysis methodology to containment control problem, where there exist multiple leaders. A novel analysis framework from the perspective of state transition matrix is developed. This framework relates containment to consensus and overcomes the difficulty of construction of a containment error. This book serves as a reference to the main research issues and results on consensus of multi-agent systems. Some prerequisites for reading this book include linear system theory, matrix theory, mathematics, and so on.

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Page Count

254

Publisher

Springer Nature

Published Date

ISBN 10

3030856577

ISBN 13

9783030856571

Semantic Breakthrough in Drug Discovery

By: Bin Chen,Huijun Wang,Ying Ding,David Wild

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Semantic Breakthrough in Drug Discovery

By: Bin Chen,Huijun Wang,Ying Ding,David Wild

The current drug development paradigm---sometimes expressed as, ``One disease, one target, one drug''---is under question, as relatively few drugs have reached the market in the last two decades. Meanwhile, the research focus of drug discovery is being placed on the study of drug action on biological systems as a whole, rather than on individual components of such systems. The vast amount of biological information about genes and proteins and their modulation by small molecules is pushing drug discovery to its next critical steps, involving the integration of chemical knowledge with these biological databases. Systematic integration of these heterogeneous datasets and the provision of algorithms to mine the integrated datasets would enable investigation of the complex mechanisms of drug action; however, traditional approaches face challenges in the representation and integration of multi-scale datasets, and in the discovery of underlying knowledge in the integrated datasets. The Semantic Web, envisioned to enable machines to understand and respond to complex human requests and to retrieve relevant, yet distributed, data, has the potential to trigger system-level chemical-biological innovations. Chem2Bio2RDF is presented as an example of utilizing Semantic Web technologies to enable intelligent analyses for drug discovery.Table of Contents: Introduction / Data Representation and Integration Using RDF / Data Representation and Integration Using OWL / Finding Complex Biological Relationships in PubMed Articles using Bio-LDA / Integrated Semantic Approach for Systems Chemical Biology Knowledge Discovery / Semantic Link Association Prediction / Conclusions / References / Authors' Biographies

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Springer Nature

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ISBN 10

3031794567

ISBN 13

9783031794568

Robotic Micromanipulation of Zebrafish Larva

By: Songlin Zhuang,Gefei Zhang,Dongxu Lei,Xinghu Yu,Mingsi Tong,Weiyang Lin,Yang Shi,Huijun Gao

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Robotic Micromanipulation of Zebrafish Larva

By: Songlin Zhuang,Gefei Zhang,Dongxu Lei,Xinghu Yu,Mingsi Tong,Weiyang Lin,Yang Shi,Huijun Gao

This book offers readers a series of robotic methods for manipulating zebrafish larva, one of the most popular model vertebrates widely used in biomedical research and clinical applications. The authors leverage advanced control theories, image processing algorithms, and artificial intelligence to establish a robot-assisted automated or semi-automated zebrafish larva-targeted micromanipulation system for different experimental purposes. The methods presented are generic and can be translated to manipulate other types of biological objects, such as embryos or cells. Coverage includes topics that span the procedures of manipulating zebrafish larva, such as in-plane positioning, three-dimensional orientation, deformation-controllable immobilization, organ-targeted microinjection, whole-organism imaging, and high-throughput trajectory tracking of zebrafish larvae group movement. Robotic Micromanipulation of Zebrafish Larva is written in a simple, clear, and easy-to-read style. It is an ideal reference for academic researchers and biomedical operators. It is also a valuable resource for students learning robotics, control and system theories, image processing, artificial intelligence, and biomedical engineering.

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265

Publisher

Springer Nature

Published Date

ISBN 10

3031334108

ISBN 13

9783031334108

Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

By: Hongli Dong,Zidong Wang,Huijun Gao

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

By: Hongli Dong,Zidong Wang,Huijun Gao

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered, and application potential in mobile robotics is also considered. The reader will benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing. Key Features: Establishes a unified framework for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete information Investigates several new concepts for randomly occurring phenomena and proposes a new system model to better describe network-induced problems Demonstrates how newly developed techniques can handle emerging mathematical and computational challenges Contains the latest research results Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information provides a unified yet neat framework for control/filtering/fault-detection with randomly occurring incomplete information. It is a comprehensive textbook for graduate students and is also a useful practical research reference for engineers dealing with control, filtering and fault detection problems for networked systems.

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Page Count

280

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118650972

ISBN 13

9781118650974

Mobile Cloud Computing

Foundations and Service Models

By: Dijiang Huang,Huijun Wu

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Mobile Cloud Computing

Foundations and Service Models

By: Dijiang Huang,Huijun Wu

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Solve jigsaw puzzle

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Page Count

338

Publisher

Morgan Kaufmann

Published Date

ISBN 10

0128096446

ISBN 13

9780128096444

Heron Streaming

Fundamentals, Applications, Operations, and Insights

By: Huijun Wu,Maosong Fu

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Heron Streaming

Fundamentals, Applications, Operations, and Insights

By: Huijun Wu,Maosong Fu

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Solve jigsaw puzzle

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Page Count

208

Publisher

Springer Nature

Published Date

ISBN 10

3030600947

ISBN 13

9783030600945

Book's by Huijun Wu

Heron Streaming

Heron Streaming

Mobile Cloud Computing

Mobile Cloud Computing

Robust Filtering for Uncertain Systems

Robust Filtering for Uncertain Systems

Nonlinear Stochastic Systems with Network-Induced Phenomena

Nonlinear Stochastic Systems with Network-Induced Phenomena

Robust Environmental Perception and Reliability Control for Intelligent Vehicles

Robust Environmental Perception and Reliability Control for Intelligent Vehicles

Consensus Over Switching Network Topology: Characterizing System Parameters and Joint Connectivity

Consensus Over Switching Network Topology: Characterizing System Parameters and Joint Connectivity

Semantic Breakthrough in Drug Discovery

Semantic Breakthrough in Drug Discovery

Robotic Micromanipulation of Zebrafish Larva

Robotic Micromanipulation of Zebrafish Larva

Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

Mobile Cloud Computing

Mobile Cloud Computing

Heron Streaming

Heron Streaming

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