This book combines the experience and achievements in engineering practice of the China Academy of Space Technology, Xi’an, with a focus on the field of high-power multipactor over recent decades. It introduces the main concepts, theories, methods and latest technologies of multipactor simulation, at both the theoretical level and as a process of engineering, while providing a comprehensive introduction to the outstanding progress made in the research technology of multipactor numerical simulation in China. At the same time, a three-dimensional numerical simulation method of multipactor for typical high-power microwave components of spacecraft is introduced. This book is an essential volume for engineers in the field of high-power microwave technology. It can also be used as a reference for researchers in related fields, or as a teaching reference book for graduate students majoring in Astronautics at colleges and universities.

This book combines the experience and achievements in engineering practice of the China Academy of Space Technology, Xi'an, with a focus on the field of high-power multipactor over recent decades. It introduces the main concepts, theories, methods and latest technologies of multipactor simulation, at both the theoretical level and as a process of engineering, while providing a comprehensive introduction to the outstanding progress made in the research technology of multipactor numerical simulation in China. At the same time, a three-dimensional numerical simulation method of multipactor for typical high-power microwave components of spacecraft is introduced. This book is an essential volume for engineers in the field of high-power microwave technology. It can also be used as a reference for researchers in related fields, or as a teaching reference book for graduate students majoring in Astronautics at colleges and universities.

Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes

The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real-world problems.

Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes

This proceedings constitutes the refereed proceedings of the 17th International Conference on Communications and Networking, ChinaCom 2022, held in November 19-20, 2022. Due to COVID-19 pandemic the conference was held virtually. The 31 full papers presented were carefully selected from 83 submissions. The papers are organized in topical sections on Signal Processing and Communication Optimization; Scheduling and Transmission Optimization; Network Communication Performance Enhancement; Deep Learning Applications and Optimization; Deep Learning and Network Performance Optimization; Edge Computing and Artificial Intelligence Applications.

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

2022 PROSE Awards Category Winner - Biography & Autobiography Foreword INDIES Book of the Year Awards - 2021 BRONZE Winner for Biography The fascinating biography of Eunice Hunton Carter, a social justice and civil rights trailblazer and the only woman prosecutor on the Luciano trial Eunice Hunton Carter rose to public prominence in 1936 as both the only woman and the only person of color on Thomas Dewey's famous gangbuster team that prosecuted mobster Lucky Luciano. But her life before and after the trial remains relatively unknown. In this definitive biography on this trailblazing social justice activist, authors Marilyn S. Greenwald and Yun Li tell the story of this unknown but critical pioneer in the struggle for racial and gender equality in the twentieth century. Carter worked harder than most men because of her race and gender, and Greenwald and Li reflect on her lifelong commitment to her adopted home of Harlem, where she was viewed as a role model, arts patron, community organizer, and, later, as a legal advisor to the United Nations, the National Council of Negro Women, and several other national and global organizations. Carter was both a witness to and a participant in many pivotal events of the early and mid- twentieth century, including the Harlem riot of 1935 and the social scene during the Harlem Renaissance. Using transcripts, letters, and other primary and secondary sources from several archives in the United States and Canada, the authors paint a colorful portrait of how Eunice continued the legacy of the Carter family, which valued education, perseverance, and hard work: a grandfather who was a slave who bought his freedom and became a successful businessman in a small colony of former slaves in Ontario, Canada; a father who nearly single-handedly integrated the nation's YMCAs in the Jim Crow South; and a mother who provided aid to Black soldiers in France during World War I and who became a leader in several global and domestic racial equality causes. Carter's inspirational multi-decade career working in an environment of bias, segregation, and patriarchy in Depression-era America helped pave the way for those who came after her.

Natural gas storage valuation is a challenging topic. It requires both appropriate price models and optimization models. We assume that each forward price follows a geometric Brownian motion process. Spot price also follows a geometric Brownian motion process, but its expectation changes from month to month. Since optimization models are independent of price simulations, alternative price models can be implemented in the valuation. Various models are used for storage valuation, including "intrinsic rolling with spot and forward," Monte Carlo simulation with ordinary least square regression, and Monte Carlo simulation with stochastic dual dynamic programming. The first methodology takes both forward and spot prices into account, while the other two methodologies only use spot price. The results show that many factors can impact the value of a storage, including the term structure of the forward prices, volatilities of forward and spot prices, and the operational flexibility of the storage.