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Blockchain and Ethereum Smart Contract Solution Development: Dapp Programming with Solidity
by Weijia Zhang Tej AnandBuild decentralized applications with smart contract programming. Following the curriculum from an active blockchain course taught by the author at the McCombs School of Business at the University of Texas, this book fills the gaps for you from learning about basic cryptocurrency uses of blockchain to understanding smart contracts and dapps.You’ll first start by understanding the basics of blockchain technology. Take a business point of view to discover general concepts about blockchains and dapps or “decentralized apps” built off of smart contracts. Next, learn about the token economy, how to design tokens, and relevant client technologies, such as web3, metamask, and UI/UX design. Then, install a blockchain node yourself.With a basic understanding of blockchain applications and business uses, you’ll move further into hands-on development. There are ten modules for hands-on smart contract programming covered to build your own decentralized applications. Several team projects built end-to-end from concept to deployment to operation are also provided. Using these models and your own original work, you’ll build a smart contract development environment, practice Solidity programming, compile source code, perform security reviews, and deploy bytecode to blockchains.The breakthrough in blockchain technology has empowered novel ecosystems and applications in the areas of Decentralized Finance (DeFi), Central Bank Digital Currency (CBDC), Non-Fungible Tokens (NFT), Decentralized Autonomous Organization (DAO), and more. Blockchain and Ethereum Smart Contract Solution Development will prepare you to create fantastic applications using Ethereum’s smart contracts and solid concepts of decentralized programming!What You'll LearnBecome familiar with Blockchain technology, both in theory and in practiceUnderstand architectural components of blockchain and the underlying computer scienceImplement blockchain smart contract solutions using both public and enterprise Ethereum blockchainsWho This Book Is ForIT professionals and mid-level managers interested in smart contract development. Blockchain Consultants who want to have a handbook of smart contract development methodologies. And enterprise technologiests helping companies through the transformation to blockchain technologies.
The World of Dual-Brain
by Weizhi ZhangThis book leaves the template of the inertia of natural human society and traditional ideological thinking, to illustrate the mechanism of the generation of the Sociality Brain and to explore the construction path of the human-computer symbiosis order. At the same time, this book proposes concepts including ‘wisdom sharing system’, ‘the Sociality Brain’, ‘dual-brain world’, ‘off-site economic civilization’, ‘basic contradictions in the intelligent world’, and ‘class analysis and division of the dual-brain world’, etc. This is a philosophical thinking about the intelligent world beyond the categories of natural human society and biological brain.
Distributed Fusion Estimation for Sensor Networks with Communication Constraints
by Wen-An Zhang Bo Chen Haiyu Song Li YuThisbook systematically presents energy-efficient robust fusion estimation methodsto achieve thorough and comprehensive results in the context of network-basedfusion estimation. It summarizes recent findings on fusion estimation withcommunication constraints; several novel energy-efficient and robust designmethods for dealing with energy constraints and network-induced uncertaintiesare presented, such as delays, packet losses, and asynchronous information. . . All the results are presented as algorithms, which are convenient for practicalapplications.
MARS Applications in Geotechnical Engineering Systems: Multi-Dimension with Big Data
by Wengang ZhangThis book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach’s generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
by Wengang Zhang Yanmei Zhang Xin Gu Chongzhi Wu Liang HanThis book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
Web Information Systems Engineering – WISE 2021: 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26–29, 2021, Proceedings, Part I (Lecture Notes in Computer Science #13080)
by Wenjie Zhang Lei Zou Zakaria Maamar Lu ChenThis two-volume set constitutes the proceedings of the 22nd International Conference on Web Information Systems Engineering, WISE 2021, held in Melbourne, VIC, Australia, in October 2021.The 55 full, 29 short and 5 demo papers, plus 2 tutorials were carefully reviewed and selected from 229 submissions. The papers are organized in the following topical sections:Part I: BlockChain and Crowdsourcing; Database System and Workflow; Data Mining and Applications; Knowledge Graph and Entity Linking; Graph Neural Network; Graph Query; Social Network; Spatial and Temporal Data Analysis.Part II: Deep Learning (1), Deep Learning (2), Recommender Systems (1), Recommender Systems (2), Text Mining (1), Text Mining (2), Service Computing and Cloud Computing (1), Service Computing and Cloud Computing (2), Tutorial and Demo.
Web Information Systems Engineering – WISE 2021: 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26–29, 2021, Proceedings, Part II (Lecture Notes in Computer Science #13081)
by Wenjie Zhang Lei Zou Zakaria Maamar Lu ChenThis two-volume set constitutes the proceedings of the 22nd International Conference on Web Information Systems Engineering, WISE 2021, held in Melbourne, VIC, Australia, in October 2021.The 55 full, 29 short and 5 demo papers, plus 2 tutorials were carefully reviewed and selected from 229 submissions. The papers are organized in the following topical sections:Part I: BlockChain and Crowdsourcing; Database System and Workflow; Data Mining and Applications; Knowledge Graph and Entity Linking; Graph Neural Network; Graph Query; Social Network; Spatial and Temporal Data Analysis.Part II: Deep Learning (1), Deep Learning (2), Recommender Systems (1), Recommender Systems (2), Text Mining (1), Text Mining (2), Service Computing and Cloud Computing (1), Service Computing and Cloud Computing (2), Tutorial and Demo.
A Matrix Algebra Approach to Artificial Intelligence
by Xian-Da ZhangMatrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.
Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part III (Lecture Notes in Computer Science #12488)
by Xiangliang Zhang Xiaofeng Chen Hongyang Yan Qiben YanThis three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020.The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Digital Forensic Education: An Experiential Learning Approach (Studies in Big Data #61)
by Xiaolu Zhang Kim-Kwang Raymond ChooIn this book, the editors explain how students enrolled in two digital forensic courses at their institution are exposed to experiential learning opportunities, where the students acquire the knowledge and skills of the subject-matter while also learning how to adapt to the ever-changing digital forensic landscape. Their findings (e.g., forensic examination of different IoT devices) are also presented in the book. Digital forensics is a topic of increasing importance as our society becomes “smarter” with more of the “things” around us been internet- and inter-connected (e.g., Internet of Things (IoT) and smart home devices); thus, the increasing likelihood that we will need to acquire data from these things in a forensically sound manner. This book is of interest to both digital forensic educators and digital forensic practitioners, as well as students seeking to learn about digital forensics.
Event Attendance Prediction in Social Networks (SpringerBriefs in Statistics)
by Xiaomei Zhang Guohong CaoThis volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting event attendance, events that better fit users’ interests can be recommended, and personalized location-based or topic-based services related to the events can be provided to users. Moreover, it can help event organizers estimating the event scale, identifying conflicts, and help manage resources. This book first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a context-aware data mining approach to predict the event attendance by learning how users are likely to attend future events. Specifically, three sets of context-aware attributes are identified by analyzing users’ past activities, including semantic, temporal, and spatial attributes. This book illustrates how these attributes can be applied for event attendance prediction by incorporating them into supervised learning models, and demonstrates their effectiveness through a real-world dataset collected from event-based social networks.
Computational Approaches in the Transfer of Aesthetic Values from Paintings to Photographs: Beyond Red, Green and Blue
by Xiaoyan Zhang Martin Constable Kap Luk Chan Jinze Yu Wang JunyanThis book examines paintings using a computational and quantitative approach. Specifically, it compares paintings to photographs, addressing the strengths and limitations of both. Particular aesthetic practices are examined such as the vista, foreground to background organisation and the depth planes. These are analysed using a range of computational approaches and clear observations are made. New generations of image-capture devices such as Google goggles and the light field camera, promise a future in which the formal attributes of a photograph are made available for editing to a degree that has hitherto been the exclusive territory of painting. In this sense paintings and photographs are converging, and it therefore seems an opportune time to study the comparisons between them. In this context, the book includes cutting-edge work examining how some of the aesthetic attributes of a painting can be transferred to a photograph using the latest computational approaches.
LTE-Advanced Air Interface Technology
by Xincheng Zhang Xiaojin ZhouOpportunities are at hand for professionals eager to learn and apply the latest theories and practices in air interface technologies. Written by experienced researchers and professionals, LTE-Advanced Air Interface Technology thoroughly covers the performance targets and technology components studied by 3GPP for LTE-Advanced. Besides being an expla
Multi-sensor Fusion for Autonomous Driving
by Xinyu Zhang Jun Li Zhiwei Li Huaping Liu Mo Zhou Li Wang Zhenhong ZouAlthough sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechanism of deep fusion models from the perspective of uncertainty and models the initial risks in order to create a robust fusion architecture. This book reviews the multi-sensor data fusion methods applied in autonomous driving, and the main body is divided into three parts: Basic, Method, and Advance. Starting from the mechanism of data fusion, it comprehensively reviews the development of automatic perception technology and data fusion technology, and gives a comprehensive overview of various perception tasks based on multimodal data fusion. The book then proposes a series of innovative algorithms for various autonomous driving perception tasks, to effectively improve the accuracy and robustness of autonomous driving-related tasks, and provide ideas for solving the challenges in multi-sensor fusion methods. Furthermore, to transition from technical research to intelligent connected collaboration applications, it proposes a series of exploratory contents such as practical fusion datasets, vehicle-road collaboration, and fusion mechanisms. In contrast to the existing literature on data fusion and autonomous driving, this book focuses more on the deep fusion method for perception-related tasks, emphasizes the theoretical explanation of the fusion method, and fully considers the relevant scenarios in engineering practice. Helping readers acquire an in-depth understanding of fusion methods and theories in autonomous driving, it can be used as a textbook for graduate students and scholars in related fields or as a reference guide for engineers who wish to apply deep fusion methods.
Intelligent Information Processing with Matlab
by Xiu Zhang Xin Zhang Wei WangThis book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more. This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.
Principles of Intelligent Rail Transit (Advances in High-speed Rail Technology)
by Xiubin Zhang Muhammad Mansoor Khan Yeerjiang HalimuThis book systematically expounds on the scientific principles and technologies of Rail Transit Intelligent Technology based on the high development of artificial intelligence theory and technology. The contents include technical principles, theoretical algorithms and practical engineering technologies of intelligent monitoring of rail transit system, intelligent sensing and identification of train power system, intelligent technology in rail transit system operation, intelligent maintenance of carriage environment, etc. It can be used as a textbook or teaching reference book for related fields in universities, including rail transit system, communication, automation, intelligent equipment design and manufacturing, artificial intelligence, computer science and technology, electrical engineering and automation, etc. It is used as an academic reference for professionals in rail transit system design, operation, and maintenance.
Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications: 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #322)
by Xuyun Zhang Guanfeng Liu Meikang Qiu Wei Xiang Tao HuangThis book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and telecommunications, broadly understood as the renewable generation and distributed energy resources integration, computational intelligence applications, information and communication technologies.
Mobile Edge Computing (Simula SpringerBriefs on Computing #9)
by Yan ZhangThis is an open access book.It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Mobile WiMAX: Toward Broadband Wireless Metropolitan Area Networks (Wireless Networks And Mobile Communications Ser.)
by Yan Zhang Hsiao-Hwa ChenThe Wireless Metropolitan Area Network (WirelessMAN) is a promising Broadband Wireless Access (BWA) technology that provides high-speed, high-bandwidth efficiency and high-capacity multimedia services for both residential and enterprise applications. Mobile WiMAX: Toward Broadband Wireless Metropolitan Area Networks examines the basic concepts, rec
Security in Wireless Mesh Networks (Wireless Networks And Mobile Communications Ser.)
by Yan Zhang Jun Zheng Honglin HuWireless mesh networks (WMN) encompass a new area of technology set to play an important role in the next generation wireless mobile networks. WMN is characterized by dynamic self-organization, self-configuration, and self-healing to enable flexible integration, quick deployment, easy maintenance, low costs, high scalability, and reliable services.
Web Information Systems Engineering - WISE 2015
by Yanchun Zhang Tao Li Shu-Ching Chen Hua Wang Dingding Wang Wojciech Cellary Jianyong WangThis two volume set LNCS 9418 and LNCS 9419 constitutes the proceedings of the 16th International Conference on Web Information Systems Engineering, WISE 2015, held in Miami, FL, USA, in November 2015. The 53 full papers, 17 short and 14 special sessions and invited papers, presented in these proceedings were carefully reviewed and selected from 189 submissions. The papers cover the areas of big data techniques and applications, deep/hidden web, integration of web and internet, linked open data, semantic web, social network computing, social web and applications, social web models, analysis and mining, web-based applications, web-based business processes and web services, web data integration and mashups, web data models, web information retrieval, web privacy and security, web-based recommendations, and web search.
Web Information Systems Engineering – WISE 2020: 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part II (Lecture Notes in Computer Science #12343)
by Yanchun Zhang Hua Wang Rui Zhou Zhisheng Huang Wouter BeekThis book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020.The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications
Web Information Systems Engineering – WISE 2020: 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part I (Lecture Notes in Computer Science #12342)
by Yanchun Zhang Hua Wang Rui Zhou Zhisheng Huang Wouter BeekThis book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020.The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications
Cloud Computing: 6th International Conference, CloudComp 2015, Daejeon, South Korea, October 28-29, 2015, Revised Selected Papers (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #167)
by Yin Zhang Limei Peng Chan-Hyun YounThis book constitutes the proceedings of the 6th International Conference on Cloud Computing, CloudComp 2015, held in Daejeon, South Korea, in October 2015. The 36 revised full papers were carefully reviewed and selected from 89 submissions and cover topics such as virtualization and management on cloud; resource management, models and performance; mobile cloud and media services; pervasive cloud applications, services and testbeds; cloud-enabling techniques and devices.
Stock Message Boards
by Ying ZhangNew media is playing an important role in the financial world. Rapid growth in stock market message boards, chat rooms, and other electronic means for investors to share market information makes clear the ever-increasing demand for online stock trading. In addition to an increasing number of related sites and apps, growth in the number of investors participating has exploded. The U. S. Securities and Exchange Commission and the Federal Trade Commission are especially interested in tracking the activities on stock market message boards in order to protect market credibility. Stock Message Boards provides empirical data to reveal how online communication not only impacts stock returns, but also volatility, trading volume, and liquidity, as well as a firm's value and reputation. Zhang demonstrates the long-term value of stock market message boards by using simple mathematics and statistics to show readers how to measure message board activities. This work argues that online message boards are more effective for small capitalization stocks than large capitalization stocks, and more prominent for financially-distressed firms than financially-sound firms.