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Computer Vision – ECCV 2022
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Book of Wei Dynasty (Volume II)
The Twenty-Four Histories (Chinese: 二十四史) are the Chinese official historical books covering a period from 3000 BC to the Ming dynasty in the 17th century. The Han dynasty official Sima Qian established many of the conventions of the genre. Starting with the Tang dynasty, each dynasty established an official office to write the history of its predecessor using official court records. As fixed and edited in the Qing dynasty, the whole set contains 3213 volumes and about 40 million words. It is considered one of the most important sources on Chinese history and culture. The title "Twenty-Four Histories" dates from 1775 which was the 40th year in the reign of the Qianlong Emperor. This ...
Economic Thought in Early Modern Japan
This volume deepens and revises our understanding of early-modern Japan by examining connections between economic thought and policy. It also engages issues of interest to scholars of world history and economic thought outside Japan or East Asia.
The Illusion of Net Neutrality
In this riveting treatise, coauthors Bob Zelnick and Eva Zelnick sound the alarm on the debilitating effect that looming regulations, rules, and powerful interests would have on today's regulation-free Internet. The authors lay out the imminent threats—from “network neutrality” to FCC regulations—that would rob this global, society-changing, communication powerhouse forever of its full potential.
Nuclear Power Plants: Innovative Technologies for Instrumentation and Control Systems
This book is a compilation of selected papers from the fifth International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, held in November 2020 in Beijing, China. The purpose of this symposium is to discuss Inspection, test, certification and research for the software and hardware of Instrument and Control (I&C) systems in nuclear power plants (NPP), such as sensors, actuators and control system. It aims to provide a platform of technical exchange and experience sharing for those broad masses of experts and scholars and nuclear power practitioners, and for the combination of production, teaching and research in universities and enterprises to promote the safe development of nuclear power plant. Readers will find a wealth of valuable insights into achieving safer and more efficient instrumentation and control systems.
Microfluidic Organ-on-a-Chip: Revolutionary Platforms for Disease Comprehension and Treatment
Existing culture systems have a limited ability to reproduce the complicated and dynamic microenvironment of a functioning organ. To solve the issues of conventional culture techniques, multidisciplinary researchers, involving medical doctors, stem cell and developmental biology experts, engineers and physical scientists, have emerged to innovate methods and devices. A microfluidic organ-on-a-chip (μOOC) is a cell culture device, based on microfluidic technology, which contains continuously perfused chambers with cells to simulate organ-level physiology/pathology. The μOOC is not to build a whole living organ, but rather to synthesize minimal functional units that recapitulate organ-/tissu...
Diffusion Source Localization in Large Networks
Diffusion processes in large networks have been used to model many real-world phenomena, including how rumors spread on the Internet, epidemics among human beings, emotional contagion through social networks, and even gene regulatory processes. Fundamental estimation principles and efficient algorithms for locating diffusion sources can answer a wide range of important questions, such as identifying the source of a widely spread rumor on online social networks. This book provides an overview of recent progress on source localization in large networks, focusing on theoretical principles and fundamental limits. The book covers both discrete-time diffusion models and continuous-time diffusion models. For discrete-time diffusion models, the book focuses on the Jordan infection center; for continuous-time diffusion models, it focuses on the rumor center. Most theoretical results on source localization are based on these two types of estimators or their variants. This book also includes algorithms that leverage partial-time information for source localization and a brief discussion of interesting unresolved problems in this area.
