In seinem epischen Roman „Krieg und Frieden“ entwickelt Lew Tolstoi eine Theorie der Geschichte, die zentral auf Newtons mechanischem Weltbild der Physik und dem mathematischen Konzept der ...Integration von „Differentialen der Geschichte“ basiert.
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In the article essential problems of integrating heterogeneous data, arising in development of corporate databases intellectual access systems, are considered. In addition to the common structural ...problems, caused by variety of data organization, special attention is paid to the less obvious linguistic problems, caused by differences in data notation. A unified approach to overcoming such problems by sequential application of explicit definition of semantics, is described. This approach was tested in development of an intelligent search system for the TATNEFT oil-producing corporation; the system implementation showed high relevance of search results together with an adequate reactivity.
Das Treibhausgas‐Schnüffelnetz Arnold, Sabrina; Lindauer, Matthias; Muller, Jennifer ...
Physik in unserer Zeit,
01/2020, Volume:
51, Issue:
1
Journal Article
Zusammenfassung
Das Integrated Carbon Observation System (ICOS) ist eine auf mindestens 20 Jahre ausgelegte europäische Forschungsinfrastruktur. Fertig ausgebaut, sollen mehr als 130 über Europa ...verteilte Stationen hochpräzise und zeitlich hochaufgelöste Treibhausgasmessungen bereitstellen. Ermöglicht wird dies zum einen durch extrem empfindliche Messtechniken, zum Beispiel Laserspektroskopie, zum anderen durch eine hohe Standardisierung der Messsysteme, der Erfassung und Auswertung der Daten sowie einer strengen Qualitätskontrolle und Qualitätssicherung. Basierend auf ICOS‐Daten und mit geeigneten Inversionsmodellen sollen Veränderungen bei den Treibhausgasflüssen in Deutschland verfolgt werden. Damit wird der Erfolg von Maßnahmen zur Emissionsminderung von Treibhausgasen verifizierbar.
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Ggtree is a comprehensive R package for visualizing and annotating phylogenetic trees with associated data. It can also map and visualize associated external data on phylogenies with two general ...methods. Method 1 allows external data to be mapped on the tree structure and used as visual characteristic in tree and data visualization. Method 2 plots the data with the tree side by side using different geometric functions after reordering the data based on the tree structure. These two methods integrate data with phylogeny for further exploration and comparison in the evolutionary biology context. Ggtree is available from http://www.bioconductor.org/packages/ggtree.
With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated. These data, referred to ...multimodal big data, contain abundant intermodality and cross-modality information and pose vast challenges on traditional data fusion methods. In this review, we present some pioneering deep learning models to fuse these multimodal big data. With the increasing exploration of the multimodal big data, there are still some challenges to be addressed. Thus, this review presents a survey on deep learning for multimodal data fusion to provide readers, regardless of their original community, with the fundamentals of multimodal deep learning fusion method and to motivate new multimodal data fusion techniques of deep learning. Specifically, representative architectures that are widely used are summarized as fundamental to the understanding of multimodal deep learning. Then the current pioneering multimodal data fusion deep learning models are summarized. Finally, some challenges and future topics of multimodal data fusion deep learning models are described.
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Data Fusion by Matrix Factorization Zitnik, Marinka; Zupan, Blaz
IEEE transactions on pattern analysis and machine intelligence,
2015-Jan.-1, 2015-Jan, 2015-1-1, 20150101, Volume:
37, Issue:
1
Journal Article
Peer reviewed
Open access
For most problems in science and engineering we can obtain data sets that describe the observed system from various perspectives and record the behavior of its individual components. Heterogeneous ...data sets can be collectively mined by data fusion. Fusion can focus on a specific target relation and exploit directly associated data together with contextual data and data about system's constraints. In the paper we describe a data fusion approach with penalized matrix tri-factorization (DFMF) that simultaneously factorizes data matrices to reveal hidden associations. The approach can directly consider any data that can be expressed in a matrix, including those from feature-based representations, ontologies, associations and networks. We demonstrate the utility of DFMF for gene function prediction task with eleven different data sources and for prediction of pharmacologic actions by fusing six data sources. Our data fusion algorithm compares favorably to alternative data integration approaches and achieves higher accuracy than can be obtained from any single data source alone.
In January 2024, a targeted conference, ‘CellVis2’, was held at Scripps Research in La Jolla, USA, the second in a series designed to explore the promise, practices, roadblocks, and prospects of ...creating, visualizing, sharing, and communicating physical representations of entire biological cells at scales down to the atom.
In January 2024, a targeted conference, ‘CellVis2’, was held at Scripps Research in La Jolla, USA, the second in a series designed to explore the promise, practices, roadblocks, and prospects of creating, visualizing, sharing, and communicating physical representations of entire biological cells at scales down to the atom.
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Abstract The development process of large mesh antennas requires a significant investment of time and resources for iterative measurements and adjustments to achieve high precision in the large mesh ...reflector. In this paper, a novel measurement method for the precision of large mesh antenna surfaces is proposed to reduce the development process. Multiple measurement cameras have been utilized to set up a network system, enabling data integration for comprehensive analysis and computational calculations. In this approach, the implementation of a one-click and the rapid measurement function represent substantial advancements. The single measurement time has been successfully reduced from 40 minutes to 2 minutes, which addresses the challenge of high efficiency and precision measurement application on the complex mesh antenna surface. Then the optimization of calibration is accomplished through the meticulous measurement of network patterns, marker points, and reference bars to improve the precision accuracy on the foundation of rapid measurements, combined with the simulation analysis. The final results have been practically verified and successfully applied to model development, which provides a crucial reference for subsequent endeavors involving the rapid and automated measurement of similar antennas.
•Methods of integrating ground and aerial meta-data for localization and reconstruction are reviewed.•Localization methods are reviewed in terms of image based methods and structure based ...methods.•Reconstruction methods are reviewed in terms of image based methods and laser based methods.
Localization and reconstruction are two highly related research areas. Both of them have developed rapidly in recent years. Apparently, with the help of ground and aerial meta-data integration, the performance of both localization and reconstruction can go a step further. For localization, aerial meta-data provides a global reference, by which the ground query can achieve a cumulative error free absolute localization. As for reconstruction, a complete and detailed model can be reconstructed by integrating ground and aerial meta-data. Though with many advantages, the integration itself is non-trivial. It is difficult to obtain ground-to-aerial correspondences neither in 2D manner nor in 3D manner. That is because: (1) The differences between the ground and aerial images in viewpoint, scale, illumination, etc. are notable; (2) The discrepancies between the ground and aerial point clouds in terms of point density, accuracy, noise level, etc. are very large. To deal with these problems, lots of methods have been proposed recently. In this paper, the methods of integrating ground and aerial meta-data for localization and reconstruction are reviewed respectively. Though many intermediate results with high quality have been achieved, we hope that inspired by the reviewed methods in this paper, more thorough methods and impressive results would emerge.
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