Page 1
Page 1
Obstructions in Security-Aware Business Processes : Analysis, Detection, and Handling
This book explores the dilemma-like stalemate between security and regulatory compliance in business processes on the one hand and business continuity and governance on the other. The growing number of regulations, e.g., on information security, data protection, or privacy, implemented in increasingly digitized businesses can have an obstructive effect on the automated execution of business processes. Such security-related obstructions can particularly occur when an access control-based implementation of regulations blocks the execution of business processes. By handling obstructions, security in business processes is supposed to be improved. For this, the book presents a framework that allows the comprehensive analysis, detection, and handling of obstructions in a security-sensitive way. Thereby, methods based on common organizational security policies, process models, and logs are proposed. The Petri net-based modeling and related semantic and language-based research, as well as the analysis of event data and machine learning methods finally lead to the development of algorithms and experiments that can detect and resolve obstructions and are reproducible with the provided software.
Nonlinear Dimensionality Reduction
This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. Methods are compared with each other with the help of different illustrative examples. The purpose of the book is to summarize clear facts and ideas about well-known methods as well as recent developments in the topic of nonlinear dimensionality reduction. With this goal in mind, methods are all described from a unifying point of view, in order to highlight their respective strengths and shortcomings.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models ,supervised /unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Networked RFID : Systems, Software and Services
Begins with a quick introduction to RFID basics and then discusses the various elements of the topic, using applications such as e-passports, ticketing and supply-chain management throughout. The text explores RFID technology fundamentals, including operating principles, core system components and performance trade-offs involved in the selection of specific RFID platforms. The emphasis is on a practical approach, developing an arsenal of techniques and designs that can be mixed and matched to fit the needs of new systems and applications.
Multiparadigm Programming in Mozart/Oz ; 2nd International Conference, MOZ 2004, Charleroi, Belgium, October 7-8, 2004, Revised Selected Papers
Oz's concurrency model yields simplicity and clarity (because Oz makes it easier to express complex programs with many interacting components), g- erality, and better interfaces (because the data?ow model automatically makes interfaces more lightweight). Constraint programming in Oz again yields simplicity and clarity (because theprogrammercanexpresswhatneedstobetrueratherthanthemorecomplex issue of how to make it true), and o?ers a powerful mathematical notation that is di?cult to implement on top of languages that do not support it natively. Mozart's distributed computing model makes for improved interfaces and eases the evolution of systems. In my own work, one of the most important concernsistobeabletoquicklyscaleupaprototypeimplementationintoalar- scale service that can run reliably on thousands of computers, serving millions of users.
Multiobjective Evolutionary Algorithms and Applications
Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required. Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
Modern deep learning for tabular data : Novel approaches to common modeling problems
Synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data - an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs - Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks - through both their 'default' usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability.
Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. You will: Improve the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization. Compress deep learning models while maintaining performance. Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.
Model-Driven Software Development
Abstraction is the most basic principle of software engineering. Abstractions are provided by models. Modeling and model transformation constitute the core of model-driven development. Models can be refined and finally be transformed into a technical implementation, i.e., a software system. The aim of this book is to give an overview of the state of the art in model-driven software development. Achievements are considered from a conceptual point of view in the first part, while the second part describes technical advances and infrastructures. Finally, the third part summarizes experiences gained in actual projects employing model-driven development. Beydeda, Book and Gruhn put together the results from leading researchers in this area, both from industry and academia. The result is a collection of papers which gives both researchers and graduate students a comprehensive overview of current research issues and industrial forefront practice, as promoted by OMG’s MDA initiative.
Model Driven Engineering Languages and Systems ; Vol. 4199 ; 9th International Conference, MoDELS 2006, Genova, Italy, October 1-6, 2006, Proceedings
This book constitutes the refereed proceedings of the 9th International Conference on Model Driven Engineering Languages and Systems (formerly the UML series of conferences), MoDELS 2006, held in Genova, Italy, in October 2006. The 51 revised full papers and 2 invited papers presented were carefully reviewed and selected from 178 initial submissions. The papers are organized in topical sections on evaluating UML, MDA in software development, concrete syntax, applying UML to interaction and coordination, aspects, model integration, formal semantics of UML, security, model transformation tools and implementation, analyzing dynamic models, specifying transformations, MOF, bridging models, risk, trust and dependability, tool environments, OCL, roundtrip engineering, real time and embedded systems, as well as workshops, tutorials and panels.
Model Driven Architecture ; European MDA Workshops : Foundations and Applications, MDAFA 2003 and MDAFA 2004, Twente, The Netherlands, June 26-27, 2003, and Linköping, Sweden, June 10-11, 2004, Revised Selected Papers
Model-Driven Architecture (MDA) is an initiative proposedby the Object M- agement Group (OMG) for platform-generic software development. MDA s- arates the specification of system functionality from the implementation on a specific platform. It is aimed at making software assets more resilient to changes caused by emerging technologies. While stressing the importance of modeling, the MDA initiative covers a wide spectrum of research areas. Further efforts are required to bring them into a coherent approach based on open standards and supported by matured tools and techniques. This volume contains the selected papers of two workshops on “Model-Driven Architecture – Foundations and Applications” (MDAFA): MDAFA 2003 held at the University of Twente, Twente, The Netherlands, June 26–27, 2003, and MDAFA 2004 held at Linko ¨ping University, Link¨ oping, Sweden, June 10–11, 2004. The goal of the workshops was to understand the foundations of MDA, to share experience in applying MDA techniques and tools, and to outline future research directions. The workshops organizers encouraged authors of accepted papers to re-submit their papers to a post-workshop reviewing process; 15 of these papers were accepted to appear in this volume on MDA.
Model Driven Architecture - Foundations and Applications ; 4th European Conference, ECMDA-FA 2008, Berlin, Germany, June 9-13, 2008. Proceedings
The 31 revised full papers presented - 21 research papers and 10 industry papers - were carefully reviewed and selected from 87 submissions. The papers address all current issues of model-driven architecture, i.e. model management, executable models, concrete syntaxes, aspects, and concerns, validation and testing, model-based systems engineering, model-driven development and service-oriented architectures, and the application of model-driven development. The papers are organized in topical sections on model management, executable models, concrete syntaxes, aspects and concerns, validation and testing, model-based systems engineering, model-driven development and service-oriented architectures, as well as surveys on applying model-driven development.
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 Information Systems II ; IFIP Working Conference on Mobile Information Systems, MOBIS 2005, Leeds, UK, December 6-7, 2005
Contains the proceedings of the second IFIP TC8 Working Conference on Mobile Information Systems which was held in December 2005 in Leeds, UK and sponsored by the International Federation of Information Processing (IFIP). Mobile Information Systems II aims to: · Clarify differences and similarities between the development of mobile and more traditional information systems. · Investigate the organizational impact of mobile information systems. · Investigate the 'e to m shift' , for example in m-Commerce relative to e-Commerce. · Investigate mobile commerce applications combined with the advantages of mobile communications technologies, the drivers of which have been identified as ubiquity, accessibility, security, convenience, localization, instant connectivity, and personalization. · Evaluate existing and newly developed approaches for the analysis, design, implementation, and evolution of mobile information systems. · Investigate technical issues and the constraints they impose on mobile information systems functionalities and design.
Mobile Information Systems ; Vol. 158 : IFIP TC 8 Working Conference on Mobile Information Systems (MOBIS) 15-17 September 2004, Oslo, Norway
This book contains the proceedings of the IFIP TC8 Working Conference on Mobile Information Systems, which was held in September 2004 in Oslo, Norway and sponsored by the International Federation for Information Processing (IFIP). Mobile Information Systems aims to: Clarify differences and similarities between the development of mobile vs. more traditional information system. Investigate the organizational impact of mobile information systems Investigate mCommerce relative to eCommerce Investigate mobile commerce applications combined with the advantages of mobile communications technologies, the drivers of which have been identified as ubiquity, reachability, security, convenience, localization, instant connectivity and personalization. Evaluate existing and newly developed approaches for analysis, design, implementation, and evolution of mobile information systems. Investigate technical issues and the constraints they pose on mobile information systems functionalities and design
Membrane Computing; 8th International Workshop, WMC 2007 Thessaloniki, Greece, June 25-28, 2007 Revised Selected and Invited Papers
This volume contains a selection of papers presented at the Eighth Workshop on Membrane Computing, WMC8, which took place in Thessaloniki, Greece, during June 25–28, 2008. Special attention was paid to the interaction of membrane computing with biology and computer science, focusing on the - ological roots of membrane computing, on applications of membrane computing in biology and medicine, and on possible electronically based implementations.
IPv6 in Practice: A Unixer's Guide to the Next Generation Internet
This book is a practical guide to IPv6 addressing Unix and network administrators with experience in TCP/IP(v4) but not necessarily any IPv6 knowledge. It focuses on reliable and efficient operation of IPv6 implementations available today rather than on protocol specifications. Consequently, it covers the essential concepts - using instructive and thoroughly tested examples - on how to configure, to administrate, and to debug IPv6 setups.
IoT and AI Technologies for Sustainable Living : A Practical Handbook
Brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in sustainable living. The areas of application include agriculture, smart farming, healthcare, bioinformatics, self-diagnosis systems, body sensor networks, multimedia mining, and multimedia in forensics and security. Provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest patterns, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need for AI and IoT to have a sustainable era of human living. The tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithms, sentimental analysis and Natural Language Processing (NLP).
Introduction to Operating System Design and Implementation : The OSP 2 Approach
This book exposes students to many essential features of operating systems while at the same time isolating them from low-level, machine-dependent concerns. With its accompanying software, the book contains enough projects for up to three semesters.
