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  • 1
    Keywords: Computer science--Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (757 pages)
    Edition: 1st ed.
    ISBN: 9783540392057
    Series Statement: Lecture Notes in Computer Science Series ; v.2639
    DDC: 004
    Language: English
    Note: Lecture Notes in Artificial Intelligence -- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing -- Copyright -- Preface -- RSFDGrC 2003 Conference Committee -- Table of Contents -- Flow Graphs and Decision Algorithms -- The Quotient Space Theory of Problem Solving1 -- Granular Computing -- Rough Sets: Trends and Challenges -- A New Development on ANN in China - Biomimetic Pattern Recognition and Multi Weight Vector Neurons -- On Generalizing Rough Set Theory -- Dual Mathematical Models Based on Rough Approximations in Data Analysis -- Knowledge Theory: Outline and Impact* -- A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory -- Extracting Structure of Medical Diagnosis: Rough Set Approach -- A Kind of Linearization Method in Fuzzy Control System Modeling★ -- A Common Framework for Rough Sets, Databases, and Bayesian Networks -- Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation -- Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words -- A New Rough Sets Model Based on Database Systems -- A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm -- Comparison of Conventional and Rough K-Means Clustering -- An Application of Rough Sets to Monk's Problems Solving -- Pre-topologies and Dynamic Spaces -- Rough Sets and Gradual Decision Rules -- Explanation Oriented Association Mining Using Rough Set Theory -- Probabilistic Rough Sets Characterized by Fuzzy Sets -- A View on Rough Set Concept Approximations -- Evaluation of Probabilistic Decision Tables★ -- Query Answering in Rough Knowledge Bases -- Upper and Lower Recursion Schemes in Abstract Approximation Spaces -- Adaptive Granular Control of an HVDC System: A Rough Set Approach -- Rough Set Approach to Domain Knowledge Approximation. , Reasoning Based on Information Changes in Information Maps -- Characteristics of Accuracy and Coverage in Rule Induction -- Interpretation of Rough Neural Networks as Emergent Model -- Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection -- Conjugate Information Systems: Learning Cognitive Concepts in Rough Set Theory -- Rough Set Data Analysis Algorithms for Incomplete Information Systems -- Inconsistency Classification andDiscernibility-Matrix-Based Approaches for Computing an Attribute Core -- Multi-knowledge Extraction and Application -- Multi-rough Sets Based on Multi-contexts of Attributes -- Approaches to Approximation Reducts in Inconsistent Decision Tables★ -- Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model -- Approximate Reducts of an Information System -- A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education -- A Synthesis of Concurrent Systems: A Rough Set Approach -- Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach -- Order Based GGenetic Algorithms for the Search of Approximate Entropy Reducts★ -- Variable Precision Bayesian Rough Set Model★ -- Linear Independence in Contingency Table -- The Information Entropy of Rough Relational Databases★ -- A T-S Type of Rough Fuzzy Control System and Its Implementation -- Rough Mereology in Knowledge Representation★ -- Rough Set Methods for Constructing Support Vector Machines -- The Lattice Property of Fuzzy Rough Sets -- Querying Data from RRDB Based on Rough Sets Theory* -- An Inference Approach Based on Rough Sets1 -- Classification Using the Variable Precision Rough Set -- An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRSβ. , Application of Fuzzy Control Base on Changeable Universe to Superheated Steam Temperature Control System -- Application of Fuzzy Support Vector Machines in Short-Term Load Forecasting -- A Symbolic Approximate Reasoning -- Intuition in Soft Decision Analysis -- Ammunition Supply Decision-Making System Design Based on Fuzzy Control -- The Concept of Approximation Based on Fuzzy Dominance Relation in Decision-Making -- An Image Enhancement Arithmetic Research Based on Fuzzy Set and Histogram -- A Study on a Generalized FCM -- Fuzzy Multiple Synapses Neural Network and Fuzzy Clustering -- On Possibilistic Variance of Fuzzy Numbers -- Deductive Data Mining Mathematical Foundation of Database Mining -- Information Granules for Intelligent Knowledge Structures★ -- Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC -- Granular Reasoning Using Zooming In & -- Out Part 1. Propositional Reasoning -- A Pure Mereological Approach to Roughness -- Knowledge Based Descriptive Neural Networks -- Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies -- Ant Colony Optimization for Navigating Complex Labyrinths -- An Improved Quantum Genetic Algorithm and Its Application -- Intelligent Generation of Candidate Sets for Genetic Algorithms in Very Large Search Spaces -- Fast Retraining of Artificial Neural Networks -- Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization -- Comparison of BPL and RBF Network in Intrusion Detection System -- Back Propagation with Randomized Cost Function for Training Neural Networks -- Selective Ensemble of Decision Trees -- A Maximal Frequent Itemset Algorithm1 -- On Data Mining for Direct Marketing -- A New Incremental Maintenance Algorithm of Data Cube -- Data Mining for Motifs in DNA Sequences. , Maximum Item First Pattern Growth for Mining Frequent Patterns -- Extended Random Sets for Knowledge Discovery in Information Systems -- Research on a Union Algorithm of Multiple Concept Lattices -- A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic -- An Improved Branch & -- Bound Algorithm in Feature Selection -- Classification of Caenorhabditis Elegans Behavioural Phenotypes Using an Improved Binarization Method -- Consensus versus Conflicts - Methodology and Applications -- Interpolation Techniques for Geo-spatial Association Rule Mining★ -- Imprecise Causality in Mined Rules -- Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition -- HIPRICE-A Hybrid Model for Multi-agent Intelligent Recommendation -- A Database-Based Job Management System -- Optimal Choice of Parameters for a Density-Based Clustering Algorithm1 -- An Improved Parameter Tuning Method for Support Vector Machines -- Approximate Algorithm for Minimization of Decision Tree Depth -- Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure -- Hierarchical Clustering Algorithm Based on Neighborhood-Linked in Large Spatial Databases -- Unsupervised Learning of Pattern Templates from Unannotated Corpora for Proper Noun Extraction -- Approximate Aggregate Queries with Guaranteed Error Bounds -- Improving Classification Performance by Combining Multiple TAN Classifiers -- Image Recognition Using Adaptive Fuzzy Neural Network and Wavelet Transform -- SOM Based Image Segmentation -- User's Interests Navigation Model Based on Hidden Markov Model -- Successive Overrelaxation for Support Vector Regression -- Statistic Learning and Intrusion Detection -- A New Association Rules Mining Algorithms Based on Directed Itemsets Graph. , A Distributed Multidimensional Data Model of Data Warehouse -- An Overview of Hybrid Possibilistic Reasoning -- Critical Remarks on the Computational Complexity in Probabilistic Inference -- Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks -- A Non-local Coarsening Result in Granular Probabilistic Networks -- Probabilistic Inference on Three-Valued Logic -- Multi-dimensional Observer-Centred Qualitative Spatial-temporal Reasoning* -- Architecture Specification for Design of Agent-Based System in Domain View -- Adapting Granular Rough Theory to Multi-agent Context -- How to Choose the Optimal Policy in Multi-agent Belief Revision? -- Research of Atomic and Anonymous Electronic Commerce Protocol -- Colored Petri Net Based Attack Modeling -- Intelligent Real-Time Traffic Signal Control Based on a Paraconsistent Logic Program EVALPSN -- Transporting CAN Messages over WATM -- A Hybrid Intrusion Detection Strategy Used for Web Security -- Mining Sequence Pattern from Time Series Based on Inter-relevant Successive Trees Model -- Author Index.
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  • 2
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Science--Databases. ; Database management. ; Database Management Systems. ; Artificial Intelligence. ; Engineering. ; Models, Theoretical. ; Science. ; Artificial intelligence. ; Electronic books. ; Electronic books.
    Description / Table of Contents: The highly distributed scientific research enabled by 'escience' features complex interactions in its infrastructure and thus needs strong data provenance and management systems. This book explains the latest information tracking and authentication techniques.
    Type of Medium: Online Resource
    Pages: 1 online resource (186 pages)
    Edition: 1st ed.
    ISBN: 9783642299315
    Series Statement: Studies in Computational Intelligence Series ; v.426
    DDC: 502.85/57
    Language: English
    Note: Title -- Preface -- Contents -- Part I Provenance in eScience: Representation and Use -- Provenance Model for Randomized Controlled Trials -- Introduction -- Process Flow of Clinical Trials -- Trial Planning and Development -- Conduct of the Clinical Trial Process (Trial Management) -- Trial Ending -- Trial Metadata Analysis -- ICH GCP and Other Models -- Provenance -- Provenance in Healthcare -- Open Provenance Model -- Profiles -- OPM RCT Profile Proposal -- RCT Controlled Vocabulary -- Profile Expansion Rules -- Examples -- Storage and Analysis of Provenance Data -- Summary -- References -- Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data -- Introduction -- Motivation and Requirements -- Architecture -- Hidden Markov Modeling for the Evaluation ofWorkflow Trust -- Methodology -- Trust Model Assessment -- Cases with Dynamic or Parallel Sections -- Implementation -- Verification of the Model -- Case Study -- Investigation of the Stationary Assumption -- Conclusion and Future Work -- References -- Unmanaged Workflows: Their Provenance and Use -- Introduction -- Provenance Creation -- Overview -- Application in the Karma Tool -- Provenance Representation -- Representation in Karma -- Provenance Use -- Using Provenance to Aid Workflow Construction -- Using Data Provenance Traces to Reconstruct Process Traces -- Using Provenance for Analysis of Workflow Traces -- RelatedWork -- Current and Future Challenges -- References -- Part II Data Provenance and Data Management Systems -- Sketching Distributed Data Provenance -- Introduction -- RelatedWork -- Tracking System-Level Provenance with SPADE -- Intra-host Dependencies -- Inter-host Dependencies -- Querying Provenance -- Provenance Sketches -- Matrix Filter -- SPADE's Use of Matrix Filters -- Experimental Results -- Reduction in Network Latency -- Sketch Robustness. , Conclusion -- References -- A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research -- Introduction -- The Application Scenario -- A Mobile Cloud System for Bioinformatics Research -- Overall Architecture of the Mobile Cloud -- Workflow Design through Abstract Description Script -- Accountability for Trusted Data Provenance -- Accountability for Trustworthiness -- Logging Provenance Data at Trusted Provenance Unit -- Architectural Design of Trusted Provenance Unit -- Prototype Implementation -- RelatedWork -- Conclusions and Future Work -- References -- Data Provenance and Management in Radio Astronomy: A Stream Computing Approach -- Introduction -- IBM InfoSphere Streams and the Stream-Computing Paradigm -- InfoSphere Streams Terminology and Concepts -- Data Streaming Applications with SPADE -- Deploying SPADE Applications and Performance Optimization -- Utilizing InfoSphere Streams to Address Large Antennae Array Software Architecture -- Data Provenance and Management Capabilities -- Some Applications of Streams in Radio Astronomy -- Implementing a Stream-Centric Autocorrelation DataPipeline & -- Utilizing Hardware Accelerators -- Autocorrelation and the Power Spectral Density in Radio Astronomy -- Implementing a PSD Pipeline as a Stream Based Application -- Using Accelerators (Heterogeneous Computing) -- Testing the SPADE PSD Application -- Performance and Scalability -- Conclusion -- Appendix -- References -- Using Provenance to Support Good Laboratory Practice in Grid Environments -- Introduction -- A Sample Use Case -- Data Management with the DataFinder -- Overview -- Provenance Management -- OPM - Open Provenance Model -- Provenance Storage with prOOst -- Distributed, Scientific Data Management -- Integration of Existing Storage Servers -- Designing an Alternative Storage Concept - MataNui -- Results. , Developing a Provenance Model for Good Laboratory Practice -- Adjustments for Good Laboratory Practice in the DataFinder -- Integration Evaluation of an Electronic Laboratory Notebook -- Outlook: Improving DataFinder-Based Laboratory Notebook -- Conclusion -- References -- Author Index.
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  • 3
    Publication Date: 2023-06-14
    Description: This study presents a solution of the ‘1 cm Geoid Experiment’ (Colorado Experiment) using spherical radial basis functions (SRBFs). As the only group using SRBFs among the fourteen participated institutions from all over the world, we highlight the methodology of SRBFs in this paper. Detailed explanations are given regarding the settings of the four most important factors that influence the performance of SRBFs in gravity field modeling, namely (1) the choosing bandwidth, (2) the locations of the SRBFs, (3) the type of the SRBFs as well as (4) the extensions of the data zone for reducing the edge effect. Two types of basis functions covering the same spectral range are used for the terrestrial and the airborne measurements, respectively. The non-smoothing Shannon function is applied to the terrestrial data to avoid the loss of spectral information. The cubic polynomial (CuP) function which has smoothing features is applied to the airborne data as a low-pass filter for filtering the high-frequency noise. Although the idea of combining different SRBFs for different observations was proven in theory to be possible, it is applied to real data for the first time, in this study. The RMS error of our height anomaly result along the GSVS17 benchmarks w.r.t the validation data (which is the mean results of the other contributions in the ‘Colorado Experiment’) drops by 5% when combining the Shannon function for the terrestrial data and the CuP function for the airborne data, compared to those obtained by using the Shannon function for both the two data sets. This improvement indicates the validity and benefits of using different SRBFs for different observation types. Global gravity model (GGM), topographic model, the terrestrial gravity data, as well as the airborne gravity data are combined, and the contribution of each data set to the final solution is discussed. By adding the terrestrial data to the GGM and the topographic model, the RMS error of the height anomaly result w.r.t the validation data drops from 4 to 1.8 cm, and it is further reduced to 1 cm by including the airborne data. Comparisons with the mean results of all the contributions show that our height anomaly and geoid height solutions at the GSVS17 benchmarks have an RMS error of 1.0 cm and 1.3 cm, respectively; and our height anomaly results give an RMS value of 1.6 cm in the whole study area, which are all the smallest among the participants.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: ddc:526 ; ‘1 cm Geoid Experiment’ ; Spherical radial basis functions ; Regional geoid modeling ; Heterogeneous data combination
    Language: English
    Type: doc-type:article
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  • 4
    Publication Date: 2023-06-22
    Description: In 2015, the International Association of Geodesy defined the International Height Reference System (IHRS) as the conventional gravity field-related global height system. The IHRS is a geopotential reference system co-rotating with the Earth. Coordinates of points or objects close to or on the Earth’s surface are given by geopotential numbers C(P) referring to an equipotential surface defined by the conventional value W0 = 62,636,853.4 m2 s−2, and geocentric Cartesian coordinates X referring to the International Terrestrial Reference System (ITRS). Current efforts concentrate on an accurate, consistent, and well-defined realisation of the IHRS to provide an international standard for the precise determination of physical coordinates worldwide. Accordingly, this study focuses on the strategy for the realisation of the IHRS; i.e. the establishment of the International Height Reference Frame (IHRF). Four main aspects are considered: (1) methods for the determination of IHRF physical coordinates; (2) standards and conventions needed to ensure consistency between the definition and the realisation of the reference system; (3) criteria for the IHRF reference network design and station selection; and (4) operational infrastructure to guarantee a reliable and long-term sustainability of the IHRF. A highlight of this work is the evaluation of different approaches for the determination and accuracy assessment of IHRF coordinates based on the existing resources, namely (1) global gravity models of high resolution, (2) precise regional gravity field modelling, and (3) vertical datum unification of the local height systems into the IHRF. After a detailed discussion of the advantages, current limitations, and possibilities of improvement in the coordinate determination using these options, we define a strategy for the establishment of the IHRF including data requirements, a set of minimum standards/conventions for the determination of potential coordinates, a first IHRF reference network configuration, and a proposal to create a component of the International Gravity Field Service (IGFS) dedicated to the maintenance and servicing of the IHRS/IHRF.
    Description: https://www.ngs.noaa.gov/GRAV-D/data_ms05.shtml
    Keywords: ddc:526 ; International Height Reference System (IHRS) ; International Height Reference Frame (IHRF) ; World height system ; Global unified vertical reference system ; Geopotential height datum ; Permanent tide ; Tide systems ; The Colorado experiment
    Language: English
    Type: doc-type:article
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  • 5
    Publication Date: 2020-11-17
    Description: 1.Bivalve habitat restoration is growing in geographic extent and scale globally. While addressing the wide-scale loss of these biogenic habitats is still a key motivation behind restoration efforts, increasingly stakeholders and funders are drawn to shellfish restoration for the many ecosystem services these habitats provide. 2.There is clear evidence for the provision of ecosystem services from species targeted for restoration in the USA, in particular Crassostrea virginica. Ecosystem services remain, however, largely unquantified or even undescribed for the majority of other species targeted for restoration. 3.A structured review of the literature was undertaken and supplemented by expert knowledge, to identify which ecosystem services are documented in the following other bivalve species targeted for restoration: Ostrea edulis, Ostrea angasi, Crassostrea rhizophorae, Perna canaliculus, Modiolus modiolus, Mytilus edulis, Mytilus platensis, Crassostrea gigas, Ostrea denselamellosa, Crassostrea ariakensis, and Crassostrea sikamea. 4.Key knowledge gaps in quantifying ecosystem services and the ecosystem engineering properties of habitat building bivalves contributing to the provision of ecosystem services were identified. Ecosystem services with the potential to be widely applicable across bivalve habitat building species were identified. 5.While there is evidence that many of the ecosystem engineering properties which underpin the provision of ecosystem services are universal, the degree to which services are provided will vary between locations and species. Species-specific, in situ, studies are needed in order to avoid the inappropriate transfer of the ecosystem service delivery between locations, and to further build support and understanding for these emerging targets of restoration.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 6
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 97 (1992), S. 3871-3872 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: The Extended Brusselator is shown to contain Takens–Bogdanov bifurcation point, the location of which in parameter space is determined analytically.
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Annals of the New York Academy of Sciences 590 (1990), S. 0 
    ISSN: 1749-6632
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Natural Sciences in General
    Type of Medium: Electronic Resource
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  • 9
    ISSN: 1546-170X
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Medicine
    Notes: [Auszug] Secondary injury exacerbates the extent of spinal cord insults, yet the mechanistic basis of this phenomenon has largely been unexplored. Here we report that broad regions of the peritraumatic zone are characterized by a sustained process of pathologic, high ATP release. Spinal cord neurons ...
    Type of Medium: Electronic Resource
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  • 10
    ISSN: 1550-7408
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: The extent of allelic diversity at the Merozoite Surface Protein-1 locus of Plasmodium falciparum (PfMSP-1) was examined in isolates collected from symptomatic patients living in a mesoendemic area in southern Vietnam. The variable blocks 2, 4 and 10 were typed by polymerase chain reaction and 24 PfMSP-1 gene types were defined as unique combinations of allelic types detected in each variable block. Nineteen PfMSP-1 gene types were identified and 182 parasite populations were fully typed among 102 isolates. Forty-eight (47%) patients harbored more than one typed parasite population, and one patient had at least eight genetically distinct subpopulations. As previously shown in the same endemic area, recombination between blocks 4 and 10 was significantly less frequent than expected from random assortment of allelic types. The distribution of PfMSP-1 gene types, however, did not differ significantly from that observed in isolates collected in the same area 17-24 mo before the present study. Furthermore, the prevalence of the most common gene types and the average number of different gene types harbored by the same host did not decrease with age. This argues against the prominence of frequency-dependent immune selection of PfMSP-1 polymorphisms in this parasite population.
    Type of Medium: Electronic Resource
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