Jun Zhang – författare

The Definitive Guide to LTE Technology

Long-Term Evolution (LTE) is the next step in the GSM evolutionary path beyond 3G technology, and it is strongly positioned to be the dominant global standard for 4G cellular networks. LTE also represents the first generation of cellular networks to be based on a flat IP architecture and is designed to seamlessly support a variety of different services, such as broadband data, voice, and multicast video. Its design incorporates many of the key innovations of digital communication, such as MIMO (multiple input multiple output) and OFDMA (orthogonal frequency division multiple access), that mandate new skills to plan, build, and deploy an LTE network.

In Fundamentals of LTE, four leading experts from academia and industry explain the technical foundations of LTE in a tutorial style—providing a comprehensive overview of the standards. Following the same approach that made their recent Fundamentals of WiMAX successful, the authors offer a complete framework for understanding and evaluating LTE.

Topics include

Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encyclopedia for energy-storage-related areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.

Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.

Cardiac Gene Expression: Methods and Protocols presents both cutting-edge and established methods for studying cardiac gene expression. The protocols provide a template for solid research, and cover the process through screening, analysis, characterization, and functional confirmation of novel genes or known genes with a new function.

Section I, Cardiac Gene Expression Profiling: The Global Perspective, discusses several different approaches to examining, identifying, and analyzing changes in transcriptome gene expression. Section II, Cardiac Gene Regulation: Gene-Specific mRNA Measurement in the Myocardium, outlines more sensitive and gene-targeted expression methods. Section III, Cardiac Gene Regulation: Promoter Characterization in the Myocardium, provides protocols for the study of underlying gene regulation mechanisms by focusing on the interaction of transcription factors with their cognate cis binding elements. Section IV, In Silico Assessment of Regulatory cis-Elements and Gene Regulation, and Section V, Cardiac Single Network Polymorphisms, emphasize new analytical approaches for deciphering the functional elements buried in the 3 billion nucleotides of the human genome and other model genomes. The concluding section, Gene Overexpression and Targeting in the Myocardium, highlights methods that facilitate overexpression or cardiac-specific targeted gene deletion.

長穗劍是武術項目傳統器械中的一種，我們也可以把它認為是劍術運動中一種表現形式，特點在於劍穗要隨著劍來舞動。在古代，長穗劍在實戰中可以通過長穗的飛舞來迷惑對手，或用劍穗來攻擊對方。而現在的武術運動中長穗劍主要是通過舞動長穗來增加劍術運動的感染力以及體現它的藝術魅力。

本書所介紹的“長穗劍”為張君的父親張學祿先生親自教導傳授，在動作的編排上以武術的精神、氣勢、身法為主體，融入了舞蹈翻轉的一些動作，全套動作行雲流水、舒展大方，真正體現了力與美的結合。為了保留與推廣“長穗劍”的套路，現將與北京電視台合作拍攝的“八寶連環劍、雲龍劍、白鶴劍”以詳細的文字講解及動作的分解圖片編輯成書，與喜愛“長穗劍”的朋友們分享！

◎八寶連環劍介紹「八寶連環劍」因套路中的動作方向採用了「八卦」中的八個方位，所以這套長穗劍除東、南、西、北四個方位外，還增加了東南、東北、西南、西北這四個方位，故取名為「八寶連環劍」！這套劍是三套長穗劍中動作最容易掌握及學習的一套。它是由長穗劍的基本劍花及套路中的基本步型，以及一些翻轉的動作組合而成。十分適合初學長穗劍的朋友們來學習。

◎雲龍劍介紹「雲龍劍」的動作難度介於「八寶連環劍」和「白鶴劍」之間，在這三套長穗劍中「雲龍劍」起到一個承上啟下的作用。雲龍劍是在八寶連劍的基礎上又增加了一些特定的動作，如掃腿、平衡、捅花……等。同時在翻轉動作、勾掛劍動作以及劍花的運用上也增加了一定的難度！「雲龍劍」全套動作如行雲流水，無論是定式動作還是行進間的動作都氣勢不凡，此套路適合有一定長穗劍基礎的朋友們來學習!

◎白鶴劍介紹「白鶴劍」是三套長穗劍中動作最多、難度最大的一套劍。白鶴劍在套路的編排上模仿了白鶴在休息與運動中的樣子。動作的難度也曾加了很多……如左、右手換劍及拋劍的動作，還有連續翻轉及平衡的動作。白鶴劍雖然難度較高，大家學習起來雖覺不易，但是如果有了前兩套長穗劍的基礎，只要仔細揣摩認真練習，相信一定會掌握得很好。

This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi’an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions. The papers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security.

This textbook offers readers a self-contained introduction to quantitative Tamarkin category theory. Functioning as a viable alternative to the standard algebraic analysis method, the categorical approach explored in this book makes microlocal sheaf theory accessible to a wide audience of readers interested in symplectic geometry. Much of this material has, until now, been scattered throughout the existing literature; this text finally collects that information into one convenient volume.

Quantitative Tamarkin Theory is ideal for graduate students interested in symplectic geometry who seek an accessible alternative to the algebraic analysis method. A background in algebra and differential geometry is recommended.

This book is part of the "Virtual Series on Symplectic Geometry"http://www.springer.com/series/16019

This book constitutes the refereed proceedings of the 14th International Conference on Network and System Security, NSS 2020, held in Melbourne, VIC, Australia, in November 2020.

The 17 full and 9 short papers were carefully reviewed and selected from 60 submissions. The selected papers are devoted to topics such as secure operating system architectures, applications programming and security testing, intrusion and attack detection, cybersecurity intelligence, access control, cryptographic techniques, cryptocurrencies, ransomware, anonymity, trust, recommendation systems, as well machine learning problems.

Due to the Corona pandemic the event was held virtually.

This book begins with a historical overview of the evolution of mobile technologies and addresses two key questions: why do we need 6G? and what will 6G be? The remaining chapters of this book are organized into three parts: Part I covers the foundation of an end-to-end 6G system by presenting 6G vision, driving forces, key performance indicators, and societal requirements on digital inclusion, sustainability, and intelligence. Part II presents key radio technology components for the 6G communications to deliver extreme performance, including new radio access technologies at high frequencies, joint communications and sensing, AI-driven air interface, among others. Part III describes key enablers for intelligent 6G networking, including network disaggregation, edge computing, data-driven management and orchestration, network security and trustworthiness, among others. This book is relevant to researchers, professionals, and academics working in 5G/6G and beyond.