Page 63
Page 63
Modeling and Management of Fuzzy Semantic RDF Data
Presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
Model-Driven Development and Operation of Multi-Cloud Applications : The MODAClouds Approach
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I "The Big Data Opportunity" explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission's BIG project.
Model-Based Software and Data Integration ; 1st International Workshop, MBSDI 2008, Berlin, Germany, April 1-3, 2008. Proceedings
The First International Workshop on Model-Based Software and Data Integ- tion (MBSDI 2008), was ourfrst event of this kind in a forthcoming series of activities at TU Berlin, where a scientifc discussion and exchange forum was provided for both academic and industrial researchers. We aimed at researchers, engineersand practitionerswho focus onadvanced, model-basedsolutions inthe area of software and information integration and interoperability. As withevery beginning, the resonanceonour callsin today's overfoodingof workshops was somewhat unpredictable, and we did not really know how many paper submissions to expect. We were nicely surprised, considering the rather short lead time to organize the meeting and the very specialized and focused topic.
Model-based Geostatistics
Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. The name reflects its origins in mineral exploration, but the methods are now used in a wide range of settings including public health and the physical and environmental sciences. Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. This volume is the first book-length treatment of model-based geostatistics. The authors have written an expository text, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' R-based software package, geoR, whose usage is illustrated in a computation section at the end of each chapter.
Model-Based Demography: Essays on Integrating Data, Technique and Theory
This book shows how demography can build a strong theoretical edifice on its broad and deep empirical foundation by adoption of the model-based approach to science. But the full-fruits of this approach will require demographers to make greater use of computer modeling [both macro- and micro-simulation], in the statement and manipulation of theoretical ideas, as well as for numerical computation.
Model Checking Software ; Vol. 3639 : 12th International SPIN Workshop, San Francisco, CA, USA, August 22-24, 2005, Proceedings
Constitutes the refereed proceedings of the 12th International SPIN workshop on Model Checking Software, SPIN 2005, held in San Francisco, USA in August 2005. The papers are organized in topical sections on state representation and abstraction, dealing with concurrency, dealing with complex data, checking temporal properties, and more.
Model Based Inference in the Life Sciences : A Primer on Evidence
The abstract concept of "information" can be quantified and this has led to many important advances in the analysis of data in the empirical sciences. This text focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The fundamental science question relates to the empirical evidence for hypotheses in this set—a formal strength of evidence. Kullback-Leibler information is the information lost when a model is used to approximate full reality. Hirotugu Akaike found a link between K-L information (a cornerstone of information theory) and the maximized log-likelihood (a cornerstone of mathematical statistics). This combination has become the basis for a new paradigm in model based inference. The text advocates formal inference from all the hypotheses/models in the a priori set—multimodel inference.
Mobility, data mining and privacy : Geographic knowledge discovery
This book assesses this research frontier from a computer science perspective, investigating the various scientific and technological issues, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, funded by the EU Commission and involving 40 researchers from 7 countries, and this book tightly integrates and relates their findings in 13 chapters covering all related subjects, including the concepts of movement data and knowledge discovery from movement data; privacy-aware geographic knowledge discovery; wireless network and next-generation mobile technologies; trajectory data models, systems and warehouses; privacy and security aspects of technologies and related regulations; querying, mining and reasoning on spatiotemporal data; and visual analytics methods for movement data.
Mobility Aware Technologies and Applications ; 2nd International Workshop, MATA 2005, Montreal, Canada, October 17 -- 19, 2005, Proceedings
The beginning of the twenty-first century is characterized by global markets, and the mobility of people is becoming an important fact of life. Consequently, the mobile user is demanding appropriate technical solutions to make use of customized information and communication services. In this context the notion of next-generation networks (NGNs), which are driven by the convergence of the entertainment sector, the mobile Internet, and fixed/mobile telecommunications, is emerging. Such NGNs are aggregating a variety of different access networks and supporting the seamless connection of an open set of end-user devices, and due to the adoption of an all-IP network paradigm they enable a much better integration of voice and data services. Coincidently the buzzword ‘fixed mobile convergence’ (FMC) describes the current trend towards providing common services across fixed and mobile networks resulting in the medium term in the full integration of fixed and mobile telecommunication networks. The adoption of appropriate middleware technologies and the provision of - called service delivery platforms driven by the ongoing innovation in the field of information technologies provides today the technical foundation for supporting terminal, personal and service mobility and thus the implementation of real seamless information and communication services. Furthermore, users are nowadays looking, in light of an omnipresent service environment, for a much higher degree of customization and context awareness in the services they use. The papers in this volume look at these enabling mobility-aware technologies and their use for implementing mobility-aware and context-aware applications.
Mobile Wireless Middleware, Operating Systems and Applications ; 9th EAI International Conference, MOBILWARE 2020, Hohhot, China, July 11, 2020, Proceedings
This book constitutes the refereed conference proceedings of the 9th International Conference on Mobile Wireless Middleware, Operating Systems and Applications, MOBILWARE 2020, held in Hohhot, China, in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 21 revised full papers were reviewed and selected from 69 submissions and are organized in tracks on MobilWare; Big data, data mining and artificial intelligence workshop; Blockchain and internet of things workshop.
Mobile Information Systems : Infrastructure and Design for Adaptivity and Flexibility
The book is divided into three parts: core technologies for mobile information systems (e.g., adaptive middleware and flexible e-services), enabling technologies (like data management on small devices or adaptive low-power hardware architectures or wireless networks), and methodological aspects of mobile information systems design (such as service profiling or user interface and e-service design for context-aware applications). It provides researchers in academia and industry with a comprehensive vision on innovative aspects which can be used as a basis for the development of new frameworks and applications.
Mobile health technologies for ambient assisted living and healthcare
The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages.
Mobile forensics : The file format handbook : Common file formats and file systems used in mobile devices
This book summarizes knowledge about several file systems and file formats commonly used in mobile devices. In addition to the fundamental description of the formats, there are hints about the forensic value of possible artefacts, along with an outline of tools that can decode the relevant data.
Mobile computing, applications, and services ; 11th EAI International Conference, MobiCASE 2020, Shanghai, China, September 12, 2020, Proceedings
This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2020, held in Shanghai, China, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 15 full papers were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on mobile application and framework; mobile application with data analysis; and AI application.
Mobile and Wireless Communications with Practical Use-Case Scenarios
While wireless technologies had a spectacular evolution over the past years, the present trend is to adopt a global heterogeneous network of shared standards that enables the provisioning of Quality of Service and Quality of Experience to the end-user. To this end, enabling technologies like Machine Learning, Internet of Things, Digital Twins, are seen as promising solutions for next generation networks that will enable an intelligent adaptive interconnected environment with support for prediction and decision making so that the heterogeneous applications and users requirements can be highly satisfied. The aim of this textbook is to provide the readers with a comprehensive technical foundation of the mobile communication systems and wireless network design, operations and applications of various radio access technologies. Additionally, it also introduces the reader to the latest advancements in technologies in terms of Internet of Things ecosystem, Machine Learning and Digital Twins for IoT-enabled intelligent environments. Furthermore, this textbook also includes practical use-case scenarios using Altair WinProp Software as well as Phyton, TensorFlow and Jupiter as support for practice-based laboratory sessions"
Mobile and Wireless Communications Networks ; IFIP TC6 / WG6.8 Conference on Mobile and Wireless Communication Networks (MWCN 2004) October 25-27, 2004 Paris, France
Mobile Ad hoc NETworks (MANETs) has attracted great research interest in recent years. A Mobile Ad Hoc Network is a self-organizing multi-hop wireless network where all hosts (often called nodes) participate in the routing and data forwarding process. The dependence on nodes to relay data packets for others makes mobile ad hoc networks extremely susceptible to various malicious and selfish behaviors. This point is largely overlooked during the early stage of MANET research. Many works simply assume nodes are inherently cooperative and benign. However, experiences from the wired world manifest that the reverse is usually true; and many works [3] [10] [9] [8] [12] [19] have pointed out that the impact of malicious and selfish users must be carefully investigated. The goal of this research is to address the cooperation problem and related security issues in wireless ad hoc networks. As a rule of thumb, it is more desirable to include security mechanisms in the design phase rather than continually patching the system for security breaches. As pointed out in [2] [1], there can be both selfish and malicious nodes in a mobile ad hoc network. Selfish nodes are most concerned about their energy consumption and intentionally drop packets to save power. The purpose of malicious nodes, on the other hand, is to attack the network using various intrusive techniques. In general, nodes in an ad hoc network can exhibit Byzantine behaviors.
Mobile Ad-hoc and Sensor Networks ; Vol. 4325 ; 2nd International Conference, MSN 2006, Hong Kong, China, December 13-15, 2006, Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2006, held in Hong Kong, China in December 2006. The 73 revised full papers address all current issues in mobile ad hoc and sensor networks and are organized in topical sections on routing, network protocols, security, energy efficiency, data processing, and deployment.
Mobile Ad-Hoc and sensor networks ; 3rd International Conference, MSN 2007 Beijing, China, December 12-14, 2007 Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2007, held in Beijing, China, in December 2007.
Mobile Ad Hoc Networks : Energy-Efficient Real-Time Data Communications
This book presents the Time Reservation using Adaptive Control for Energy Efficiency (TRACE) family of protocol architectures that provide such dynamic coordinated channel access in a distributed manner, enabling energy-efficient, real-time data communications in MANETs. Furthermore, this book provides an introduction to the fundamentals of MANETs, an overview of protocols for each layer of the protocol stack, and a discussion of the issues involved with energy-efficient protocol design and quality of service for real-time data transmission.
Mixed-criticality industrial wireless networks
Introduces criticality to label important data,which is then allocated more transmission resources, ensuring that important data’sQoS requirements can be met to the extent possible.To help readers understand how to apply mixed criticality to industrial wirelessnetworks, the content is divided into four parts. First, we introduce how to integratethe model of mixed-criticality data into industrial wireless networks (Chap. 1).Second, we explain how to analyze the schedulability of mixed-criticality data underexisting scheduling algorithms (Chaps. 2 and 3). Third, we present a range of novelscheduling algorithms for mixed-criticality data (Chaps. 4, 5, and 6). Finally, weconclude this book and discuss future research directions (Chap. 7).
