Haijun Peng's Books

Symplectic Pseudospectral Methods for Optimal Control

Theory and Applications in Path Planning

By: Xinwei Wang,Jie Liu,Haijun Peng

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Symplectic Pseudospectral Methods for Optimal Control

Theory and Applications in Path Planning

By: Xinwei Wang,Jie Liu,Haijun Peng

The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental principles and engineering practice are addressed. Symplectic pseudospectral methods for nonlinear optimal control problems with complicated factors (i.e., inequality constraints, state-delay, unspecific terminal time, etc.) are solved under the framework of indirect methods. The methods developed here offer a high degree of computational efficiency and accuracy when compared with popular direct pseudospectral methods. The methods are applied to solve optimal control problems arising in various engineering fields, particularly in path planning problems for autonomous vehicles. Given its scope, the book will benefit researchers, engineers and graduate students in the fields of automatic control, path planning, ordinary differential equations, etc.

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Page Count

178

Publisher

Springer Nature

Published Date

ISBN 10

9811534381

ISBN 13

9789811534386

Silicon in Agriculture

From Theory to Practice

By: Yongchao Liang,Miroslav Nikolic,Richard Bélanger,Haijun Gong,Alin Song

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Silicon in Agriculture

From Theory to Practice

By: Yongchao Liang,Miroslav Nikolic,Richard Bélanger,Haijun Gong,Alin Song

This book mainly presents the current state of knowledge on the use of of Silicon (Si) in agriculture, including plants, soils and fertilizers. At the same time, it discusses the future interdisciplinary research that will be needed to further our knowledge and potential applications of Si in agriculture and in the environmental sciences in general. As the second most abundant element both on the surface of the Earth’s crust and in soils, Si is an agronomically essential or quasi-essential element for improving the yield and quality of crops. Addressing the use of Si in agriculture in both theory and practice, the book is primarily intended for graduate students and researchers in various fields of the agricultural, biological, and environmental sciences, as well as for agronomic and fertilizer industry experts and advisors. Dr. Yongchao Liang is a full professor at the College of Environmental and Resource Sciences of the Zhejiang University, Hangzhou, China. Dr. Miroslav Nikolic is a research professor at the Institute for Multidisciplinary Research of the University of Belgrade, Serbia. Dr. Richard Bélanger is a full professor at the Department of Plant Pathology of the Laval University, Canada and holder of a Canada Research Chair in plant protection. Dr. Haijun Gong is a full professor at College of Horticulture, Northwest A&F University, China. Dr. Alin Song is an associate professor at Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.

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Page Count

250

Publisher

Springer

Published Date

ISBN 10

9401799784

ISBN 13

9789401799782

Green Internet of Things (IoT): Energy Efficiency Perspective

By: Zhenyu Zhou,Zheng Chang,Haijun Liao

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Green Internet of Things (IoT): Energy Efficiency Perspective

By: Zhenyu Zhou,Zheng Chang,Haijun Liao

Energy efficiency issues for green internet of things (IoT) are investigated in this book, from the perspectives of device-to-device (D2D) communications, machine-to-machine (M2M) communications, and air-ground networks. Specifically, critical green IoT techniques from D2D communications in the cellular network to M2M communications in industrial IoT (IIoT), (from single physical-layer optimization to cross-layer optimization, and from single-layer ground networks to stereoscopic air-ground networks) are discussed in both theoretical problem formulation and simulation result analysis in this book. Internet of Things (IoT) offers a platform that enables sensors and devices to connect seamlessly in an intelligent environment, thus providing intelligence services including monitoring systems, industrial automation, and ultimately smart cities. However, the huge potentials of IoT are constrained by high energy consumption, limited battery capacity, and the slow progress of battery technology. The high energy consumption of IoT device causes communication interruption, information loss, and short network lifetime. Moreover, once deployed, the batteries inside IoT devices cannot be replaced in time. Therefore, energy efficient resource allocation is urgent to be investigated to improve the energy efficiency of IoT, facilitate green IoT, and extend the network lifetime. This book provides readers with a comprehensive overview of the state-of-the-art key technologies, frameworks, related optimization algorithms, and corresponding integrated designs on green IoT. It also presents an easy-to-understand style in a professional manner, making the book suitable for a wider range of readers from students to professionals interested in the green IoT.

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Page Count

185

Publisher

Springer Nature

Published Date

ISBN 10

303064054X

ISBN 13

9783030640545

Deep Learning on Edge Computing Devices

Design Challenges of Algorithm and Architecture

By: Xichuan Zhou,Haijun Liu,Cong Shi,Ji Liu

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Deep Learning on Edge Computing Devices

Design Challenges of Algorithm and Architecture

By: Xichuan Zhou,Haijun Liu,Cong Shi,Ji Liu

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart surveillance cameras, is presented at the end of the book, integrating innovation in both algorithm and hardware architecture. Structured into three parts, the book covers core concepts, theories and algorithms and architecture optimization.This book provides a solution for researchers looking to maximize the performance of deep learning models on Edge-computing devices through algorithm-hardware co-design. - Focuses on hardware architecture and embedded deep learning, including neural networks - Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications - Considers how Edge computing solves privacy, latency and power consumption concerns related to the use of the Cloud - Describes how to maximize the performance of deep learning on Edge-computing devices - Presents the latest research on neural network compression coding, deep learning algorithms, chip co-design and intelligent monitoring

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Page Count

200

Publisher

Elsevier

Published Date

ISBN 10

0323909272

ISBN 13

9780323909273

4G Femtocells

Resource Allocation and Interference Management

By: Haijun Zhang,Xiaoli Chu,Xiangming Wen

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4G Femtocells

Resource Allocation and Interference Management

By: Haijun Zhang,Xiaoli Chu,Xiangming Wen

This brief examines resource allocation and interference management for 4G femtocells. It introduces 4G femtocells in the context of 4G mobile networks and discusses related technical challenges in resource allocation and interference management. Topics include ant colony algorithm based downlink resource allocation, intelligent scheduling and power control, uplink and downlink for two-tier networks, quality of service (QoS) constraints and the cross-tier interference constraint. The authors present algorithms to alleviate common femtocell-related problems such as subchannel power allocation. The complexity of the proposed resource allocation algorithms is analyzed, and the effectiveness of the proposed algorithms is verified by simulations. This concise and practical book directly addresses common problems relating to femtocells and resource management. It serves as a useful tool for researchers in the field. Advanced-level students or professionals interested in femtocells and networks will also find the content helpful.

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Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461490804

ISBN 13

9781461490807

Symplectic Pseudospectral Methods for Optimal Control

Theory and Applications in Path Planning

By: Xinwei Wang,Jie Liu,Haijun Peng

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Symplectic Pseudospectral Methods for Optimal Control

Theory and Applications in Path Planning

By: Xinwei Wang,Jie Liu,Haijun Peng

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

178

Publisher

Springer Nature

Published Date

ISBN 10

9811534381

ISBN 13

9789811534386

Book's by Haijun Peng

Symplectic Pseudospectral Methods for Optimal Control

Symplectic Pseudospectral Methods for Optimal Control

Silicon in Agriculture

Silicon in Agriculture

Green Internet of Things (IoT): Energy Efficiency Perspective

Green Internet of Things (IoT): Energy Efficiency Perspective

Deep Learning on Edge Computing Devices

Deep Learning on Edge Computing Devices

4G Femtocells

4G Femtocells

Symplectic Pseudospectral Methods for Optimal Control

Symplectic Pseudospectral Methods for Optimal Control

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