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                <text>In Networked Control Systems (NCS), components of a control loop are connected by data networks that may introduce time-varying delays and packet losses into the system, which can severly degrade control performance. Hence, this book presents the newly developed S-LQG (Sequence-Based Linear Quadratic Gaussian) controller that combines the sequence-based control method with the well-known LQG approach to stochastic optimal control in order to compensate for the network-induced effects.</text>
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                <text>By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. Three problem settings are discussed in this thesis: (1) filtering with Gaussians only, (2) Gaussian mixture filtering for strong nonlinearities, (3) Gaussian process filtering for purely data-driven scenarios. For each setting, efficient algorithms are derived and applied to real-world problems.</text>
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                <text>Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced data sets in the terabyte-range, however, can hardly be analyzed manually and require an extensive use of automated image analysis. The present work introduces a new concept for the estimation and propagation of uncertainty involved in image analysis operators and new segmentation algorithms that are suitable for terabyte-scale analyses of 3D+t microscopy images.</text>
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                <text>nformation flow control (IFC) is a technique to assert the security of a given program with respect to a given security policy. The classical policy noninterference requires that public output of a program may not be influenced from secret input. This work leverages a technique called program slicing, which is closely connected to IFC and offers many dimensions for improving analysis precision, the most powerful are Path Conditions. Our evaluation shows scalability with a low annotation burden.</text>
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                <text>Although computer networks are inherently parallel systems, the parallel execution of network simulations on interconnected processors frequently yields only limited benefits. In this thesis, methods are proposed to estimate and understand the parallelization potential of network simulations. Further, mechanisms and architectures for exploiting the massively parallel processing resources of modern graphics cards to accelerate network simulations are proposed and evaluated.</text>
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                <text>This work addresses the integration of today's infrastructure-based networks with infrastructure-less networks. The resulting Hybrid Routing System allows for communication over both network types and can help to overcome cost, communication, and overload problems. Mobility aspect resulting from infrastructure-less networks are analyzed and analytical models developed. For development and deployment of the Hybrid Routing System an overlay-based framework is presented.</text>
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                <text>In robotic beating heart surgery, a remote-controlled robot can be used to carry out the operation while automatically canceling out the heart motion. The surgeon controlling the robot is shown a stabilized view of the heart. First, we consider the use of directional statistics for estimation of the phase of the heartbeat. Second, we deal with reconstruction of a moving and deformable surface. Third, we address the question of obtaining a stabilized image of the heart.</text>
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                <text>Electronic documents frequently include contributions from different human and non-human sources. The Web, for instance, offers ever-changing content and services which can perform activities during document creation. This thesis introduces a solution for collaborative document creation which maps contributions of human and non-human participants to software services. The joint flexible composition and coordination of these services leads to a novel understanding of dynamic Web-based documents.</text>
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                <text>Schuster, Nelly</text>
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                <text>The goal of this work is to provide building blocks for resource-aware robot architectures. The topic of these blocks are data-driven generation of context-sensitive resource models, prediction of future resource utilizations, and resource-aware computer vision and motion planning algorithms. The implementation of these algorithms is based on resource-aware concepts and methodologies originating from the Transregional Collaborative Research Center ""Invasive Computing"" (SFB/TR 89).</text>
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                <text>Kröhnert, Manfred</text>
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                <text>A Contribution to Active Infrared Laser Spectroscopy for Remote Substance Detection</text>
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                <text>n this work we present a stand-off, long wave infrared (LWIR) spectroscopy system for remote detection of hazardous substances. The principle is based upon wavelength selective illumination using External Cavity Quantum Cascade Lasers, that are tunable in the LWIR wavelength range from 7.5 - 10 µm, in which most chemical substances exhibit a highly characteristic absorption behaviour.</text>
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                <text>Jarvis, Jan-Philip</text>
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                <text>https://www.ksp.kit.edu/9783731507253</text>
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                <text>Vibration problems lead to differential equations with solutions that oscillate in time, typically in a damped or undamped sinusoidal fashion. Such solutions put certain demands on the numerical methods compared to other phenomena whose solutions are monotone or very smooth. Both the frequency and amplitude of the oscillations need to be accurately handled by the numerical schemes. The forthcoming text presents a range of different methods, from classical ones (Runge-Kutta and midpoint/Crank-Nicolson methods), to more modern and popular symplectic (geometric) integration schemes (Leapfrog, Euler-Cromer, and Störmer-Verlet methods), but with a clear emphasis on the latter</text>
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                <text>Hans Petter Langtangen ---, Svein Linge</text>
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                <text>Intrusions are becoming more complicated with the recent development of adversarial techniques. To boost the detection accuracy of a separate intrusion detector, the collaborative intrusion detection network (CIDN) has thus been developed by allowing intrusion detection system (IDS) nodes to exchange data with each other. Insider attacks are a great threat for such types of collaborative networks, where an attacker has the authorized access within the network. In literature, a challenge-based trust mechanism is effective at identifying malicious nodes by sending challenges. However, such mechanisms are heavily dependent on two assumptions, which would cause CIDNs to be vulnerable to advanced insider attacks in practice. In this work, we investigate the influence of&#13;
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                <text>The Internet, personal devices and multicore computers have greatly changed and enhanced our lives by allowing us to access information and entertainment ondemand anytime, anywhere. While these technologies are great on their own merit,&#13;
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that they have become indispensable to us.&#13;
The closest cousin of a computer network is a transportation network, but computer&#13;
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networks — like traffic engineering — had a body of knowledge that could readily be&#13;
applied to computer networks. For example, we used to rely on sending letters to communicate with friends and relatives living far away. All these letters needed to use transportation vehicles such as trucks, ships or aeroplanes. Now, many letters have&#13;
been replaced by electronic mail (e-mail). Computer networks deliver e-mails, thereby&#13;
reducing the work of physically delivering letters through the transportation network.&#13;
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During the initial adoption of PCs, data transfer between personal computers was&#13;
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distance between these connected computers was usually relatively short. The&#13;
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configuration was called a local area network (LAN). LANs were originally targeted to meet the data transfer requirements for PCs within a private company, and also originally used for data, not voice traffic. Hence, there was little motivation to connect the LAN to a public telephone or telecom network.&#13;
The need for distributed computing arose after more end users had been educated in&#13;
using a personal computer. The proliferation of the Internet pushed to break through&#13;
this private network ‘barrier’ to allow connection of every computer through the&#13;
standard Internet interface. With the advancement of Internet technologies, networks can now support various services including e-mail, Web browsing, multimedia&#13;
communication, real-time voice communication and video streaming.&#13;
But what is a network, exactly? How does it really work? In this module, we will discuss&#13;
about the importance and the basic concepts of computer networks.</text>
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                <text>Project success is widely covered, and the discourse on project complexity is proliferating. The purpose of this book is to merge and investigate the two concepts within the context of information system (IS) projects and understand the symbiosis between success and complexity in these projects. In this original and innovative research, exploratory modelling is employed to identify the aspects that constitute the success and complexity of projects based on the perceptions of IS project participants. This scholarly book aims at deepening the academic discourse on the relationship between the success and complexity of projects and to guide IS project managers towards improved project performance through the complexity lens. The research methodology stems from the realisation that the complexity of IS projects and its relationship to project success are under-documented. A post positivistic approach is applied in order to accommodate the subjective interpretation of IS-project participants through a quantitative design. The researchers developed an online survey strategy regarding literature concerning the success and complexity of projects. The views of 617 participants are documented. In the book, descriptive statistics and exploratory factor analysis pave the way for identifying the key success and complexity constructs of IS projects. These constructs are used in structural-equation modelling to build various validated and predictive models. Knowledge concerning the success and complexity of projects is mostly generic with little exposure to the field of IS project management. The contribution to current knowledge includes how the success of IS projects should be considered as well as what the complexity constructs of IS projects are. The success of IS projects encompasses strategic success, deliverable success, process success and the ‘unknowns’ of project success. The complexity of IS projects embodies organisational complexity, environmental complexity, technical complexity, dynamics and uncertainty. These constructs of success and complexity are mapped according to their underlying latent relationships to each other. The intended audience of this book is fellow researchers and project and IS specialists, including information technology managers, executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. The work presented in this first edition of the book is original and has not been plagiarised or presented before. It is not a revised version of a thesis or research previously published. Comments resulted from the blind peer review process were carefully considered and incorporated accordingly.</text>
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Features:&#13;
&#13;
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David Eck, Hobart and William Smith Colleges</text>
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