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Proceedings Of The 2016 Acm Sigcomm Conference
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Book Synopsis Proceedings of the Third (2016) ACM Conference on Learning @ Scale by : Jeff Haywood
Download or read book Proceedings of the Third (2016) ACM Conference on Learning @ Scale written by Jeff Haywood and published by . This book was released on 2016-04-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: L@S 2016: Third (2016) ACM Conference on Learning @ Scale Apr 25, 2016-Apr 26, 2016 Edinburgh, Scotland Uk. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Book Synopsis Pervasive Ambient Communication for Internet of Things by : Wei Gong
Download or read book Pervasive Ambient Communication for Internet of Things written by Wei Gong and published by Springer Nature. This book was released on 2023-09-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several essential aspects of pervasive ambient backscatter communication, one of the most cutting-edge technologies for Internet-of-Things. It begins with introductory Part I, which presents visions, basic concepts, principles, and paradigms of ambient backscatter. Also, a taxonomy of state-of-the-art ambient backscatter systems is provided from the perspective of the OSI model. Part II and III study how ambient backscatter systems work on the communication and networking levels. Specifically, Part II discusses in detail how to make use of ambient WiFi signals to provide high-throughput backscatter communications with WiFi 1 (chapter 5), WiFi 2-3 (chapter 4), WiFi 4 (chapter 3), WiFi 5-6 (chapter 6) standards. Further, Part III includes several of the most advanced ambient backscatter network solutions, which are made possible by the first multi-hop backscatter (chapter 7), first backscatter mesh (chapter 8), and multiprotocol backscatter (chapter 9). On top of reliable communication and networks, we propose two novel applications that are thought impossible before, lightweight spatial sound recording over the air (chapter 10) and self-powered wireless wearables for healthcare (chapter 11). To conclude the monograph, we point out critical challenges for realizing the vision of pervasive backscatter IoTs and potential directions of ambient backscatter applications. The book provides an in-depth understanding of ambient backscatter technologies. In particular, we mainly take ubiquitous WiF signals as the communication sources and adopt a top-down approach to introduce three crucial subjects: WiFi backscatter communication, ambient backscatter network, and self-powered application systems. For each subject, we carefully divide it into several relatively independent topics, which come with the latest advances in pervasive backscatter and include extensive discussions of closely related state-of-the-art methodologies.
Book Synopsis Next-Generation Internet by : Byrav Ramamurthy
Download or read book Next-Generation Internet written by Byrav Ramamurthy and published by Cambridge University Press. This book was released on 2011-02-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: With ever-increasing demands on capacity, quality of service, speed, and reliability, current Internet systems are under strain and under review. Combining contributions from experts in the field, this book captures the most recent and innovative designs, architectures, protocols, and mechanisms that will enable researchers to successfully build the next-generation Internet. A broad perspective is provided, with topics including innovations at the physical/transmission layer in wired and wireless media, as well as the support for new switching and routing paradigms at the device and sub-system layer. The proposed alternatives to TCP and UDP at the data transport layer for emerging environments are also covered, as are the novel models and theoretical foundations proposed for understanding network complexity. Finally, new approaches for pricing and network economics are discussed, making this ideal for students, researchers, and practitioners who need to know about designing, constructing, and operating the next-generation Internet.
Book Synopsis High Performance Computing Systems by : Calebe Bianchini
Download or read book High Performance Computing Systems written by Calebe Bianchini and published by Springer Nature. This book was released on 2020-02-13 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Symposium on High Performance Computing System, WSCAD 2018, held in São Paulo, Brazil, in October 2018. The 12 revised full papers presented were carefully reviewed and selected out of 61 submissions. The papers included in this book are organized according to the following topics: cloud computing; performance; processors and memory architectures; power and energy.
Book Synopsis Privacy in Context by : Helen Nissenbaum
Download or read book Privacy in Context written by Helen Nissenbaum and published by Stanford University Press. This book was released on 2009-11-24 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.
Book Synopsis Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by : Nur Zincir-Heywood
Download or read book Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning written by Nur Zincir-Heywood and published by John Wiley & Sons. This book was released on 2021-09-03 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.
Book Synopsis Machine Learning Techniques for Online Social Networks by : Tansel Özyer
Download or read book Machine Learning Techniques for Online Social Networks written by Tansel Özyer and published by Springer. This book was released on 2018-05-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
Book Synopsis Privacy Preservation of Genomic and Medical Data by : Amit Kumar Tyagi
Download or read book Privacy Preservation of Genomic and Medical Data written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2023-11-16 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: PRIVACY PRESERVATION of GENOMIC and MEDICAL DATA Discusses topics concerning the privacy preservation of genomic data in the digital era, including data security, data standards, and privacy laws so that researchers in biomedical informatics, computer privacy and ELSI can assess the latest advances in privacy-preserving techniques for the protection of human genomic data. Privacy Preservation of Genomic and Medical Data focuses on genomic data sources, analytical tools, and the importance of privacy preservation. Topics discussed include tensor flow and Bio-Weka, privacy laws, HIPAA, and other emerging technologies like Internet of Things, IoT-based cloud environments, cloud computing, edge computing, and blockchain technology for smart applications. The book starts with an introduction to genomes, genomics, genetics, transcriptomes, proteomes, and other basic concepts of modern molecular biology. DNA sequencing methodology, DNA-binding proteins, and other related terms concerning genomes and genetics, and the privacy issues are discussed in detail. The book also focuses on genomic data sources, analyzing tools, and the importance of privacy preservation. It concludes with future predictions for genomic and genomic privacy, emerging technologies, and applications. Audience Researchers in information technology, data mining, health informatics and health technologies, clinical informatics, bioinformatics, security and privacy in healthcare, as well as health policy developers in public and private health departments and public health.
Download or read book Service Science written by Jianping Wang and published by Springer Nature. This book was released on with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Location, Localization, and Localizability by : Yunhao Liu
Download or read book Location, Localization, and Localizability written by Yunhao Liu and published by Springer Nature. This book was released on with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning Empowered Intelligent Data Center Networking by : Ting Wang
Download or read book Machine Learning Empowered Intelligent Data Center Networking written by Ting Wang and published by Springer Nature. This book was released on 2023-02-21 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks. Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book comprehensively investigates the peer-reviewed literature published in recent years. The wide range of machine learning techniques is fully reflected to allow fair comparisons. In addition, the book provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security. Provides a Broad Overview with Key Insights. This book introduces several novel intelligent networking concepts pioneered by real-world industries, such as Knowledge Defined Networks, Self-Driving Networks, Intent-driven Networks and Intent-based Networks. Moreover, it shares unique insights into the technological evolution of the fusion of artificial intelligence and data center networks, together with selected challenges and future research opportunities.
Book Synopsis A History of Personal Workstations by : Adele Goldberg
Download or read book A History of Personal Workstations written by Adele Goldberg and published by Addison-Wesley Professional. This book was released on 1988 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This distinctive book presents a history of an increasingly important class of computers, personal workstations. It is a history seen from the unique perspective of the people who pioneered their development.
Book Synopsis Human Behavior Analysis: Sensing and Understanding by : Zhiwen Yu
Download or read book Human Behavior Analysis: Sensing and Understanding written by Zhiwen Yu and published by Springer Nature. This book was released on 2020-02-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.
Book Synopsis Temporal Network Theory by : Petter Holme
Download or read book Temporal Network Theory written by Petter Holme and published by Springer Nature. This book was released on 2023-11-20 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.
Book Synopsis Advances in Data-Driven Computing and Intelligent Systems by : Swagatam Das
Download or read book Advances in Data-Driven Computing and Intelligent Systems written by Swagatam Das and published by Springer Nature. This book was released on with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Transparent Data Mining for Big and Small Data by : Tania Cerquitelli
Download or read book Transparent Data Mining for Big and Small Data written by Tania Cerquitelli and published by Springer. This book was released on 2017-05-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
Book Synopsis Machine Learning and Security by : Clarence Chio
Download or read book Machine Learning and Security written by Clarence Chio and published by "O'Reilly Media, Inc.". This book was released on 2018-01-26 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
