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Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS)

by Kuan-Ching Li Brij B. Gupta Dharma P. Agrawal

Security, privacy, and trust in the Internet of Things (IoT) and CPS (Cyber-Physical Systems) are different from conventional security as concerns revolve around the collection and aggregation of data or transmission of data over the network. Analysis of cyber-attack vectors and the provision of appropriate mitigation techniques are essential research areas for these systems. Adoption of best practices and maintaining a balance between ease of use and security are, again, crucial for the effective performance of these systems. Recent Advances in Security, Privacy and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS) discusses and presents techniques and methodologies, as well as a wide range of examples and illustrations, to effectively show the principles, algorithms, challenges, and applications of security, privacy, and trust for IoT and CPS. Book features: Introduces new directions for research, development, and engineering security, privacy, and trust of IoT and CPS Includes a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges, and applications Covers most of the important security aspects and current trends not present in other reference books This book will also serve as an excellent reference in security, privacy, and trust of IoT and CPS for professionals in this fast-evolving and critical field. The chapters present high-quality contributions from researchers, academics, and practitioners from various national and international organizations and universities.

Big Data: Algorithms, Analytics, and Applications (Chapman And Hall/crc Big Data Ser.)

by Kuan-Ching Li Hai Jiang Laurence T. Yang Alfredo Cuzzocrea

As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre

Green, Pervasive, and Cloud Computing

by Kuan-Ching Li Man Ho Allen Au Arcangelo Castiglione Kim-Kwang Raymond Choo Francesco Palmieri

This book constitutes the proceedings of the 12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017, held in Cetara, Italy, in May 2017 and the following colocated workshops: First International Workshop on Digital Knowledge Ecosystems 2017; and First Workshop on Cloud Security Modeling, Monitoring and Management, CS3M 2017. The 58 full papers included in this volume were carefully reviewed and selected from 169 initial submissions. They deal with cryptography, security and biometric techniques; advances network services, algorithms and optimization; mobile and pervasive computing; cybersecurity; parallel and distributed computing; ontologies and smart applications; and healthcare support systems.

Intelligent Systems Technologies and Applications: Volume 2 (Advances In Intelligent Systems And Computing #385)

by Kuan-Ching Li Sushmita Mitra Sabu M. Thampi Jayanta Mukhopadhyay Alex Pappachen James Stefano Berretti

This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA'17), September 13-16, 2017, Manipal, Karnataka, India. All submissions were evaluated on the basis of their significance, novelty, and technical quality. This proceedings contains 34 papers selected for presentation at the Symposium.

Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering: ICACIE 2021 (Lecture Notes in Networks and Systems #428)

by Kuan-Ching Li Bibudhendu Pati Chhabi Rani Panigrahi Prasant Mohapatra

This book gathers high-quality research papers presented at the 6th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2021) organized by Bhubaneswar Institute of Technology, Bhubaneswar, Odisha, India, during December 23–24, 2021. It includes sections describing technical advances and the latest research in the fields of computing and intelligent engineering. Intended for graduate students and researchers working in the disciplines of computer science and engineering, the proceedings also appeal to researchers in the field of electronics, as they cover hardware technologies and future communication technologies.

Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2019 (Advances in Intelligent Systems and Computing #1119)

by Kuan-Ching Li Prasant Kumar Pattnaik Himansu Das Siddharth Swarup Rautaray

This book focuses on new and original research ideas and findings in three broad areas: computing, analytics, and networking and their potential applications in the various domains of engineering – an emerging, interdisciplinary area in which a wide range of theories and methodologies are being investigated and developed to tackle complex and challenging real-world problems. The book also features keynote presentations and papers from the International Conference on Computing Analytics and Networking (ICCAN 2019), which offers an open forum for scientists, researchers and technocrats in academia and industry from around the globe to present and share state-of-the-art concepts, prototypes, and innovative research ideas in diverse fields. Providing inspiration for postgraduate students and young researchers working in the field of computer science & engineering, the book also discusses hardware technologies and future communication technologies, making it useful for those in the field of electronics.

Hydrogeological Hazard Susceptibility and Community Risk Perception in Rwanda: A Case Study of Floods and Landslides

by Lanhai Li Richard Mind’je

This book employs qualitative and quantitative methods to assess and scrutinize the impacts of climatic, topographic, land use, hydrologic and geologic factors on the hydrogeological disasters particularly flood and landslide in Rwanda. The hydrogeological hazard susceptibility and its spatial distribution is also mapped by integrating geospatial techniques and mathematical modeling approach through remote sensing and Geographical Information System (GIS). On the other hand, questionnaires and interview are used to evaluate the community's perception on the risk of hazards. The results unveiled different zones most susceptible to the incidence of both hazards as well as their main contributing factors. Furthermore, the results revealed that the government is perceived as responsible for all mitigation measures instead of being a shared responsibility, a perception that may also contribute to the increase in susceptibility. Therefore, it is necessary to deliver the extent of disaster-related courses and trainings in both schools (from primary to tertiary level) and local community members, which helps improving the public's awareness, understanding and ability by providing a new perspective toward disaster prevention and reduction. The book provides a reference for interested readers to understand the natural and human geography of Rwanda, the distribution of hydrogeological disasters, and the policy-making of disaster prevention and reduction.

The Era of New Services: New Services, New Infrastructure and Service Rules for the Future Society (Management for Professionals)

by Lefei Li

This book presents a revolutionary approach to service innovation, combining an interdisciplinary perspective with a robust theoretical framework. Integrating design thinking and systems engineering, it offers a fresh view on evolving service industries. The book is enriched with global case studies, bridging theory and real-world application, making it an essential resource for both professionals and students. It stands out by analyzing new business models and offering both qualitative and quantitative methods for service design, making it a must-read for those seeking to excel in the dynamic service market.

Parallel Services: Intelligent Systems of Digital Twins and Metaverses for Services Science (SpringerBriefs in Service Science)

by Lefei Li Fei-Yue Wang

By incorporating the latest advancement in complex system modeling and simulation into the service system research, this book makes a valuable contribution to this field that will lead service innovation and service management toward the digital twin and metaverse. It covers important topics such as computational experiments and parallel execution of a parallel service system, the modeling of artificial service systems, semi-parallel service systems, parallel service, and digital twin/metaverse. It also provides a unified framework for realizing a parallel service system that demonstrates the capabilities or potentials of adopting digital twin and metaverse. In addition, the book contains numerous solutions to real-world problems, through which both academic readers and practitioners will gain new perspectives on service systems, and learn how to model a parallel service system or how to use the model to analyze and understand the behaviors of the system. For academic readers, it sheds light on a new research direction within the service science/engineering domain made possible by the latest technologies. For practitioners, with the help of methods such as Agent-based Modeling and Simulation, the book will enable them to enhance their skills in designing or analyzing a service system.

Data-Driven Scheduling of Semiconductor Manufacturing Systems (Advanced and Intelligent Manufacturing in China)

by Li Li Qingyun Yu Kuo-Yi Lin Yumin Ma Fei Qiao

This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment.This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.

Theoretical Computer Science: 36th National Conference, NCTCS 2018, Shanghai, China, October 13–14, 2018, Proceedings (Communications in Computer and Information Science #882)

by Lian Li Pinyan Lu Kun He

This book constitutes the thoroughly refereed proceedings of the National Conference of Theoretical Computer Science, NCTCS 2018, held in Shanghai, China, in October 2018. The 11 full papers presented were carefully reviewed and selected from 31 submissions. They present relevant trends of current research in the area of algorithms and complexity, software theory and method, data science and machine learning theory.

Methods and Applications for Modeling and Simulation of Complex Systems: 18th Asia Simulation Conference, AsiaSim 2018, Kyoto, Japan, October 27–29, 2018, Proceedings (Communications in Computer and Information Science #946)

by Liang Li Kyoko Hasegawa Satoshi Tanaka

This volume constitutes the proceedings of the 18th Asia Simulation Conference, AsiaSim 2018, held in Kyoto, Japan, in August 2018.The 45 revised full papers presented in this volume were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on modeling and simulation technology; soft computing and machine learning; high performance computing and cloud computing; simulation technology for industry; simulation technology for intelligent society; simulation of instrumentation and control application; computational mathematics and computational science; flow simulation; visualization and computer vision to support simulation.

Computational Approaches to the Network Science of Teams

by Liangyue Li Hanghang Tong

Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.

A Synergistic Framework for Hardware IP Privacy and Integrity Protection

by Meng Li David Z. Pan

This book proposes a synergistic framework to help IP vendors to protect hardware IP privacy and integrity from design, optimization, and evaluation perspectives. The proposed framework consists of five interacting components that directly target at the primary IP violations. All the five algorithms are developed based on rigorous mathematical modeling for primary IP violations and focus on different stages of IC design, which can be combined to provide a formal security guarantee.

Data Science: Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I (Communications in Computer and Information Science #727)

by Min Li Hongzhi Wang Xianhua Song Zeguang Lu Beiji Zou Wei Xie

With the ever-growing power to generate, transmit and collect huge amounts of data, information overload is now an imminent problem to mankind. The overwhelming demand for information processing is not just about a better - derstanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of dataand to help peoplemakeinformed, sensible, andbetter decisions. At present, growing attention has been paid to the study, development and - plication of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The1stInternationalConferenceonAdvancedDataMiningandApplications (ADMA 2005) aimed to bring together the experts on data mining throughout the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di'erent applied disciplines. The conference attracted 539 online submissions and 63 mailing submissions from 25 di'erent countriesandareas. Allfullpaperswerepeer reviewedbyatleastthreemembers of the Program Committee composed of international experts in data mining ?elds. A total number of 100 papers were accepted for the conference. Amongst them 25 papers were selected as regular papers and 75 papers were selected as short papers, yielding a combined acceptance rate of 17%.

Fractal Teletraffic Modeling and Delay Bounds in Computer Communications

by Ming Li

By deploying time series analysis, Fourier transform, functional analysis, min-plus convolution, and fractional order systems and noise, this book proposes fractal traffic modeling and computations of delay bounds, aiming to improve the quality of service in computer communication networks. As opposed to traditional studies of teletraffic delay bounds, the author proposes a novel fractional noise, the generalized fractional Gaussian noise (gfGn) approach, and introduces a new fractional noise, generalized Cauchy (GC) process for traffic modeling. Researchers and graduates in computer science, applied statistics, and applied mathematics will find this book beneficial. Ming Li, PhD, is a professor at Ocean College, Zhejiang University, and the East China Normal University. He has been an active contributor for many years to the fields of computer communications, applied mathematics and statistics, particularly network traffic modeling, fractal time series, and fractional oscillations. He has authored more than 200 articles and 5 monographs on the subjects. He was identified as the Most Cited Chinese Researcher by Elsevier in 2014–2020. Professor Li was recognized as a top 100,000 scholar in all fields in 2019–2020 and a top 2% scholar in the field of Numerical and Computational Mathematics in 2021 by Prof. John P. A. Ioannidis, Stanford University.

Multi-Fractal Traffic and Anomaly Detection in Computer Communications

by Ming Li

This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)

by Ming Li Paul M. B. Vitányi

"The book is outstanding and admirable in many respects. ... is necessary reading for all kinds of readers from undergraduate students to top authorities in the field." Journal of Symbolic Logic Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications. Such applications include the randomness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computational learning theory, the complexity of algorithms, and the thermodynamics of computing. It will be ideal for advanced undergraduate students, graduate students, and researchers in computer science, mathematics, cognitive sciences, philosophy, artificial intelligence, statistics, and physics. The book is self-contained in that it contains the basic requirements from mathematics and computer science. Included are also numerous problem sets, comments, source references, and hints to solutions of problems. New topics in this edition include Omega numbers, Kolmogorov-Loveland randomness, universal learning, communication complexity, Kolmogorov's random graphs, time-limited universal distribution, Shannon information and others.

Studies on Urban Vehicular Ad-hoc Networks

by Minglu Li Hongzi Zhu

With the advancement of wireless technology, vehicular ad hoc networks (VANETs) are emerging as a promising approach to realizing "smart cities" and addressing many important transportation problems such as road safety, efficiency, and convenience. This brief provides an introduction to the large trace data set collected from thousands of taxis and buses in Shanghai, the largest metropolis in China. It also presents the challenges, design issues, performance modeling and evaluation of a wide spectrum of VANET research topics, ranging from realistic vehicular mobility models and opportunistic routing, to real-time vehicle tracking and urban sensing applications. In addition to the latest research and techniques, the reader will also learn the trace-driven methodologies and tools of performance modeling and analysis, network protocol design and optimization, and network simulation, thus keeping pace with the fast moving VANET research and development.

Frontiers in Algorithmics: 14th International Workshop, FAW 2020, Haikou, China, October 19-21, 2020, Proceedings (Lecture Notes in Computer Science #12340)

by Minming Li

This book constitutes the proceedings of the 14th International Workshop on Frontiers in Algorithmics, FAW 2020, held in Haikou, China, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this volume were carefully reviewed and selected from 15 submissions. The workshop provides a focused forum on current trends of research on algorithms, discrete structures, and their applications, and brings together international experts at the research frontiers in these areas to exchange ideas and to present significant new results. The papers detail graph theory, scheduling and algorithm and complexity.

Frontiers of Algorithmics: 17th International Joint Conference, IJTCS-FAW 2023 Macau, China, August 14–18, 2023 Proceedings (Lecture Notes in Computer Science #13933)

by Minming Li Xiaoming Sun Xiaowei Wu

This book constitutes the refereed proceedings of the 17th International Joint Conference on Theoretical Computer Science-Frontier of Algorithmic Wisdom (IJTCS-FAW 2023), consisting of the 17th International Conference on Frontier of Algorithmic Wisdom (FAW) and the 4th International Joint Conference on Theoretical Computer Science (IJTCS), held in Macau, China, during August 14–18, 2023.FAW started as the Frontiers of Algorithmic Workshop in 2007 at Lanzhou, China, and was held annually from 2007 to 2021 and published archival proceedings. IJTCS, the International joint theoretical Computer Science Conference, started in 2020, aimed to bring in presentations covering active topics in selected tracks in theoretical computer science. To accommodate the diversified new research directions in theoretical computer science, FAW and IJTCS joined their forces together to organize an event for information exchange of new findings and work of enduring value in the field. The 21 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: algorithmic game theory; algorithms and data structures; combinatorial optimization; and computational economics.

Intelligent Computing and Communication for the Internet of Vehicles (SpringerBriefs in Computer Science)

by Mushu Li Jie Gao Xuemin (Sherman) Shen Lian Zhao

This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-layer protocol design and application-layer computing task scheduling to achieve the objective given the unique characteristics and requirements of IoV. In particular, this book illustrates the challenges of resource management for IoV due to network dynamics, such as time-varying traffic intensity and vehicle mobility, and presents intelligent resource management solutions to adapt to the network dynamics. The Internet of Vehicles (IoV) enables vehicle-to-everything connectivity and supports a variety of applications for vehicles on the road.Intelligent resource management is critical for satisfying demanding communication and computing requirements on IoV, while the highly dynamic network environments pose challenges to the design of resource management schemes. This book provides insights into the significance of adaptive resource management in improving the performance of IoV. The customized communication protocol and computing scheduling scheme are designed accordingly by taking the network dynamics information as an integral design factor. Moreover, the decentralized designs of the proposed solutions guarantee low signaling overhead and high scalability.A comprehensive literature review summarizing recent resource management schemes in IoV, followed by the customized design of communication and computing solutions for the two IoV use cases is included which can serve as a useful reference for professionals from both academia and industry in the area of IoV and resource management. Researchers working within this field and computer science and electrical engineering students will find this book useful as well.

JIRA 4 Essentials

by Patrick Li

This book is a step-by-step tutorial and is packed with practical examples that will make learning JIRA easy.If you want to get started with JIRA, then this is the perfect book for you. You will need to be familiar with basic computer knowledge for your or your organization's standard operating environment and to have experience with software project management.

JIRA 5.2 Essentials

by Patrick Li

JIRA 5.2 Essentials is packed with real-world examples and practical tutorials which will help you become a JIRA expert.If you want to get started with JIRA, then this book is made for you. Only basic computer skills and project or issue management knowledge is required. The book will provide the rest. This book would also be of interest to experienced JIRA users who wish to improve their workflow and master the new features of JIRA 5.2.

JIRA 6.x Administration Cookbook

by Patrick Li

A comprehensive guide, full of practical recipes with real-life JIRA administration challenges, solutions, and examples with illustrations from the actual application. If you are an administrator who will be customizing, supporting, and maintaining JIRA for your organization, this book is for you. Familiarity with the core concepts of JIRA is essential. For some recipes, basic understanding in HTML, CSS, and JavaScript will also be helpful.

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Showing 27,626 through 27,650 of 53,546 results