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  • Engineering
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  • 1
    Language: English
    In: Science China Information Sciences, 2014, Vol.57(3), pp.1-17
    Description: Temporal dynamics of social interaction networks as well as the analysis of communities are key aspects to gain a better understanding of the involved processes, important influence factors, their effects, and their structural implications. In this article, we analyze temporal dynamics of contacts and the evolution of communities in networks of face-to-face proximity. As our application context, we consider four scientific conferences. On a structural level, we focus on static and dynamic properties of the contact graphs. Also, we analyze the resulting community structure using state-of-the-art automatic community detection algorithms. Specifically, we analyze the evolution of contacts and communities over time to consider the stability of the respective communities. Furthermore, we assess different factors which have an influence on the quality of community prediction. Overall, we provide first important insights into the evolution of contacts and communities in face-to-face contact networks.
    Keywords: social network analysis ; community detection ; face-to-face contact networks ; temporal networks, community stability
    ISSN: 1674-733X
    E-ISSN: 1869-1919
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  • 2
    Language: English
    Description: Successful biofunctional surface engineering will determine the future of medical devices such as orthopedic implants, stents, catheters, vaccine scaffolds, wound dressings, and extracorporeal circulation devices. Moreover, the biosensor and diagnostic chip technology will evolve rapidly due to the growing medical need for personalized medicine. A major drawback in these technologies is the need for terminally sterilized products. However, novel and safe technologies, including coupling, stabilization, and protection of effector molecules, enable terminal sterilization without functional loss. This book provides a comprehensive overview on the state of the art and the future of biofunctional surface engineering and is of major interest for those working in the fields of medicine and medical devices.
    Keywords: Biomedical Engineering ; Nanoscience & Nanotechnology ; Biomaterials ; Engineering ; Pharmacy, Therapeutics, & Pharmacology;
    ISBN: 9789814411608
    E-ISSN: 97898144
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  • 3
    Language: English
    In: Journal of Catalysis, 2011, Vol.277(2), pp.196-207
    Description: The catalytic performance of VZrON and novel P-containing VZrPON oxynitrides is compared in the ammoxidation of 3-picoline. Due to higher VO dispersion, lower V valence state and a pronounced formation of P N instead of V N bonds VZrPON catalysts are less active but slightly more selective. ► P incorporation raises V dispersion, forms P N and suppresses V N moieties. ► P lowers activity and improves selectivity only slightly. ► 3-CP selectivity rises with rising N surface concentration. ► Impact of N surface sites on selectivity dominates over surface acidity. Novel P-containing oxynitrides VZrPON were tested besides their VZrPO oxide precursors in the ammoxidation of 3-picoline and compared with P-free VZrON catalysts for analysing the influence of both incorporated P and N on the catalytic performance. Results of XRD, XPS, P and V MAS NMR as well as of simultaneous in situ-EPR/UV–vis/Raman studies during nitridation have shown that the incorporation of phosphorus enhances the V dispersion, reduces vanadium partially even down to V and leads to the formation of a crystalline ZrV P O phase for Zr/V ⩾ 0.5 with V sites surrounded by four O atoms only. N is preferentially incorporated in the vicinity of P, thus, suppressing the formation of V N moieties. These facts may be a reason why the incorporation of P does not markedly improve the catalytic performance of VZrPON catalysts.
    Keywords: Vanadium Zirconium Phosphorus Oxynitrides ; In Situ-Epr/Uv–Vis/Raman Spectroscopy ; Ammoxidation ; 3-Picoline ; Engineering ; Chemistry
    ISSN: 0021-9517
    E-ISSN: 1090-2694
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  • 4
    Language: English
    In: Materials Today, September 2012, Vol.15(9), pp.394-404
    Description: The demand to develop convergent technology platforms, such as bio-functionalized medical devices, is rapidly increasing. However, the loss of biological function of the effector molecules during sterilization represents a significant and general problem. Therefore, we have developed and characterized a nano-coating (NC) formulation capable of maintaining the functionality of proteins on biological-device combination products. As a proof of concept, the NC preserved the structural and functional integrity of an otherwise highly fragile antibody immobilized on polyurethane during deleterious sterilizing irradiation (≥ 25 kGy). The NC procedure enables straight-forward terminal sterilization of bio-functionalized materials while preserving optimal conditioning of the bioactive surface.
    Keywords: Engineering
    ISSN: 1369-7021
    E-ISSN: 1873-4103
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  • 5
    Language: English
    In: Computer Communications, 1998, Vol.21(12), pp.1080-1089
    Description: Despite the increased bandwidth and the Quality of Service (QoS) capabilities of ATM networks, measurements show that only a fraction of the available bandwidth can be used by applications with current approaches for realizing data communications over ATM employing the TCP/IP protocol suite [1, 2] . This is largely due to the unsuited protocol mechanisms and the lack of QoS support on transport level. Native Mode ATM offers full access to ATM's Quality of Service capabilities in homogenous ATM networks and provides support for a wide range of information streams with different properties and requirements [6] . In order to exploit the capabilities of ATM networks, and to optimally use the available resources, in the network and end system, new transport protocols are inevitable. In this paper we propose the transport protocols ADTS (ATM Data Transfer Service), which uses efficient protocol mechanisms suitable for ATM systems with a minimum of protocol processing overhead. We discuss implementation issues and present performance results obtained with a reference implementation of the ADTS protocol.
    Keywords: Quality of Service ; Atm Networks ; Tcp/Ip Protocols ; Atm Data Transfer Service ; Engineering
    ISSN: 0140-3664
    E-ISSN: 1873-703X
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  • 6
    Book chapter
    Book chapter
    Berlin, Heidelberg: Springer Berlin Heidelberg
    Language: English
    In: Lecture Notes in Computer Science, Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings, pp.377-388
    Description: This paper analyzes boosting in unscaled versions of ROC spaces, also referred to as PN spaces. A minor revision to AdaBoost ’s reweighting strategy is analyzed, which allows to reformulate it in terms of stratification, and to visualize the boosting process in nested PN spaces as known from divide-and-conquer rule learning. The analyzed confidence-rated algorithm is proven to take more advantage of its base models in each iteration, although also searching a space of linear discrete base classifier combinations. The algorithm reduces the training error quicker without lacking any of the advantages of original AdaBoost. The PN space interpretation allows to derive a lower-bound for the area under the ROC curve metric (AUC) of resulting ensembles based on the AUC after reweighting. The theoretical findings of this paper are complemented by an empirical evaluation on benchmark datasets.
    Keywords: Computer Science ; Artificial Intelligence (Incl. Robotics) ; Algorithm Analysis and Problem Complexity ; Mathematical Logic and Formal Languages ; Database Management ; Engineering ; Computer Science
    ISBN: 9783540453758
    ISBN: 354045375X
    Source: SpringerLink Books
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  • 7
    Book chapter
    Book chapter
    Berlin, Heidelberg: Springer Berlin Heidelberg
    Language: English
    In: Lecture Notes in Computer Science, Local Pattern Detection: International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers, pp.171-189
    Description: Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function, trading the size of subsets (coverage) against their statistical unusualness. By choosing the utility function accordingly, subgroup discovery is well suited to find interesting rules with much smaller coverage and bias than possible with standard classifier induction algorithms. Smaller subsets can be considered local patterns, but this work uses yet another definition: According to this definition global patterns consist of all patterns reflecting the prior knowledge available to a learner, including all previously found patterns. All further unexpected regularities in the data are referred to as local patterns. To address local pattern mining in this scenario, an extension of subgroup discovery by the knowledge-based sampling approach to iterative model refinement is presented. It is a general, cheap way of incorporating prior probabilistic knowledge in arbitrary form into Data Mining algorithms addressing supervised learning tasks.
    Keywords: Computer Science ; Artificial Intelligence (Incl. Robotics) ; Files ; Algorithm Analysis and Problem Complexity ; Probability and Statistics in Computer Science ; Database Management ; Information Storage and Retrieval ; Engineering ; Computer Science
    ISBN: 9783540265436
    ISBN: 3540265430
    Source: SpringerLink Books
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  • 8
    Book chapter
    Book chapter
    Berlin, Heidelberg: Springer Berlin Heidelberg
    Language: English
    In: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II, pp.250-265
    Description: In this work, we introduce a powerful and general feature representation based on a locality sensitive hash scheme called random hyperplane hashing. We are addressing the problem of centrally learning (linear) classification models from data that is distributed on a number of clients, and subsequently deploying these models on the same clients. Our main goal is to balance the accuracy of individual classifiers and different kinds of costs related to their deployment, including communication costs and computational complexity. We hence systematically study how well schemes for sparse high-dimensional data adapt to the much denser representations gained by random hyperplane hashing, how much data has to be transmitted to preserve enough of the semantics of each document, and how the representations affect the overall computational complexity. This paper provides theoretical results in the form of error bounds and margin based bounds to analyze the performance of classifiers learnt over the hash-based representation. We also present empirical evidence to illustrate the attractive properties of random hyperplane hashing over the conventional baseline representation of bag of words with and without feature selection.
    Keywords: Computer Science ; Artificial Intelligence (Incl. Robotics) ; Database Management ; Information Storage and Retrieval ; Mathematical Logic and Formal Languages ; Algorithm Analysis and Problem Complexity ; Probability and Statistics in Computer Science ; Engineering ; Computer Science
    ISBN: 9783540874805
    ISBN: 3540874801
    Source: SpringerLink Books
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  • 9
    Book chapter
    Book chapter
    Berlin, Heidelberg: Springer Berlin Heidelberg
    Language: English
    In: Lecture Notes in Computer Science, Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September 18-22, 2006 Proceedings, pp.421-433
    Description: Subgroup discovery is a popular form of supervised rule learning, applicable to descriptive and predictive tasks. In this work we study two natural extensions of classical subgroup discovery to distributed settings. In the first variant the goal is to efficiently identify global subgroups, i.e. the rules an analysis would yield after collecting all the data at a single central database. In contrast, the second considered variant takes the locality of data explicitly into account. The aim is to find patterns that point out major differences between individual databases with respect to a specific property of interest (target attribute). We point out substantial differences between these novel learning problems and other kinds of distributed data mining tasks. These differences motivate new search and communication strategies, aiming at a minimization of computation time and communication costs. We present and empirically evaluate new algorithms for both considered variants.
    Keywords: Computer Science ; Artificial Intelligence (Incl. Robotics) ; Database Management ; Information Storage and Retrieval ; Probability and Statistics in Computer Science ; Document Preparation and Text Processing ; Mathematical Logic and Formal Languages ; Engineering ; Computer Science
    ISBN: 9783540453741
    ISBN: 3540453741
    Source: SpringerLink Books
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  • 10
    Book
    Book
    Wiesbaden: DUV
    Language: German
    Description: Intro -- UBERSICHT -- Der Pels, der Tanz, die Macht und ihre Bilder- FELSMALEREI DER SAN -- DAS KINETISCHE BILD - Uber das Zusammen-wirken von Bild und Musik im Club -- INSPIRATION ODER PLAGIAT? -- .
    Keywords: Computer Science ; Computer Imaging, Vision, Pattern Recognition and Graphics ; Engineering ; Applied Sciences ; Computer Science
    ISBN: 9783835060203
    ISBN: 3835060201
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