Min Song

on writing, and not writing, as an Asian American

The children of 1965

Chaomei Chen

This book is written for anyone who is interested in how a field of research evolves and the fundamental role of understanding uncertainties involved in different levels of analysis, ranging from macroscopic views to meso- and microscopic ones. We introduce a series of computational and visual analytic techniques, from research areas such as text mining, deep learning, information visualization and science mapping, such that readers can apply these tools to the study of a subject matter of their choice. In addition, we set the diverse set of methods in an integrative context, that draws upon insights from philosophical, sociological, and evolutionary theories of what drives the advances of science, such that the readers of the book can guide their own research with their enriched theoretical foundations. Scientific knowledge is complex. A subject matter is typically built on its own set of concepts, theories, methodologies and findings, discovered by generations of researchers and practitioners. Scientific knowledge, as known to the scientific community as a whole, experiences constant changes. Some changes are long-lasting, whereas others may be short lived. How can we keep abreast of the state of the art as science advances? How can we effectively and precisely convey the status of the current science to the general public as well as scientists across different disciplines? The study of scientific knowledge in general has been overwhelmingly focused on scientific knowledge per se. In contrast, the status of scientific knowledge at various levels of granularity has been largely overlooked. This book aims to highlight the role of uncertainties, in developing a better understanding of the status of scientific knowledge at a particular time, and how its status evolves over the course of the development of research. Furthermore, we demonstrate how the knowledge of the types of uncertainties associated with scientific claims serves as an integral and critical part of our domain expertise.

The Role of Uncertainty

Representing Scientific Knowledge

Yu Cheng

Do Young Eun

Zhiguang Qin

Kai Xing

This book constitutes the refereed proceedings of the 6th Annual International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011, held in Chengdu, China, in August 2011. The 26 revised full papers and 13 invited papers presented were carefully reviewed and selected from numerous submissions. The papers address all current trends, challenges, and state of the art solutions related to various issues in wireless networks. Topics of interests include, but not limited to, effective and efficient state-of-the-art algorithm design and analysis, reliable and secure system development and implementations, experimental study and test bed validation, and new application exploration in wireless networks.

6th International Conference, WASA 2011, Chengdu, China, August 11-13, 2011, Proceedings

Wireless Algorithms, Systems, and Applications

A Min Tjoa

Ismail Khalil

Il-Yeol Song

Gabriele Kotsis

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.

22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

Big Data Analytics and Knowledge Discovery

Sachin Shetty

Xuebiao Yuchi

This book provides an overview of Moving Target Defense (MTD) and the importance of developing novel MTD schemes to protect distributed systems. It presents MTD-based research efforts to protect cloud data centers, along with network and security risk-aware approaches to place Virtual Machines (VM) in cloud data centers. These approaches include MTD-based network diversity models that enable an evaluation of the robustness of cloud data centers against potential zero-day attacks. Since these models can be used as a security metric the authors include different network configurations and policies, consider the similarity and dissimilarity of network resources, and account for minimum impact to maximum impact attacks. Also offered is a framework for determining the cost of MTD-based VM migration on cloud data centers. Designed for researchers and practitioners, Moving Target Defense for Distributed Systems enables readers to understand the potential of MTD capabilities. It enables defenders to change system or network behaviors, policies, and configurations automatically to keep potential attack surfaces protected. Advanced level students in computer science, especially those interested in networks and security, will benefit from this book.

Moving Target Defense for Distributed Systems

Jean Yu-wen Shen Wu

This anthology is the perfect introduction to Asian American studies, as it both defines the field across disciplines and illuminates the centrality of the experience of Americans of South Asian, East Asian, Southeast Asian, and Filipino ancestry to the study of American culture, history, politics, and society. The reader is organized into two parts: "The Documented Past" and "Social Issues and Literature." Within these broad divisions, the subjects covered include Chinatown stories, nativist reactions, exclusionism, citizenship, immigration, community growth, Asia American ethnicities, racial discourse and the Civil Rights movement, transnationalism, gender, refugees, anti-Asian American violence, legal battles, class polarization, and many more. Among the contributors are such noted scholars as Gary Okihiro, Michael Omi, Yen Le Espiritu, Lisa Lowe, and Ronald Takaki; writers such as Sui Sin Far, Bienvenido Santos, Sigrid Nunez, and R. Zamora Linmark, as well as younger, emerging scholars in the field.

A Reader

Asian American Studies

Min Song

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