2,829 research outputs found

    Symbolic Computing with Incremental Mindmaps to Manage and Mine Data Streams - Some Applications

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    In our understanding, a mind-map is an adaptive engine that basically works incrementally on the fundament of existing transactional streams. Generally, mind-maps consist of symbolic cells that are connected with each other and that become either stronger or weaker depending on the transactional stream. Based on the underlying biologic principle, these symbolic cells and their connections as well may adaptively survive or die, forming different cell agglomerates of arbitrary size. In this work, we intend to prove mind-maps' eligibility following diverse application scenarios, for example being an underlying management system to represent normal and abnormal traffic behaviour in computer networks, supporting the detection of the user behaviour within search engines, or being a hidden communication layer for natural language interaction.Comment: 4 pages; 4 figure

    Nondestructive Mapping of Surface Film Parameters with Dynamic Imaging Microellipsometry

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    Dynamic Imaging Microellipsometry (DIM) is a rapid, high resolution, full-field imaging ellipsometric technique previously described [1, 2]. Development and characterization has advanced through the construction and testing of the semi-automated, second DIM system. Several improvements in the system’s design have been implemented, but the basic approach of combining an optical system derived from conventional ellipsometry with video and image processing has been retained. The first DIM system used a Polarizer, Compensator, Specimen, and Analyzer (PCSA) optical system. The current instrument has undergone modification into a Polarizer, Half waveplate, Specimen, Compensator, and Analyzer (PHSCA) configuration. The polarization rotation is now under direct computer control enabling automated operation that greatly facilitates statistical analysis of the instrument’s response. Finally, high quality metallic and silicon samples have been studied, refining the previous estimates of the systems accuracy, noise and spatial resolution

    Relativistic jet feedback in high-redshift galaxies - I. Dynamics

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    We present the results of 3D relativistic hydrodynamic simulations of interaction of active galactic nucleus jets with a dense turbulent two-phase interstellar medium, which would be typical of high-redshift galaxies. We describe the effect of the jet on the evolution of the density of the turbulent interstellar medium (ISM). The jet-driven energy bubble affects the gas to distances up to several kiloparsecs from the injection region. The shocks resulting from such interactions create a multiphase ISM and radial outflows. One of the striking result of this work is that low-power jets (Pjet ≲ 1043 ergs-1), although less efficient in accelerating clouds, are trapped in the ISM for a longer time and hence affect the ISM over a larger volume. Jets of higher power drill through with relative ease. Although the relativistic jets launch strong outflows, there is little net mass ejection to very large distances, supporting a galactic fountain scenario for local feedback

    ΠœΠ΅Ρ…Π°Π½ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ испытания элСмСнтов космичСской Ρ‚Π΅Ρ…Π½ΠΈΠΊΠΈ Π½Π° ΡΠΈΠ½ΡƒΡΠΎΠΈΠ΄Π°Π»ΡŒΠ½Ρ‹Π΅ воздСйствия

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    ЦСлью Ρ€Π°Π±ΠΎΡ‚Ρ‹ являСтся ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ собствСнных частот Ρ‚Ρ€Π΅Ρ…ΠΌΠ΅Ρ€Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ двигатСля-ΠΌΠ°Ρ…ΠΎΠ²ΠΈΠΊΠ° систСмы ΠΎΡ€ΠΈΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ ΠΌΠ°Π»ΠΎΠ³ΠΎ космичСского Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π°, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π΅Π΅ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄ дСйствиСм квазистатичСской Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ, ΡΠΈΠ½ΡƒΡΠΎΠΈΠ΄Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ случайных Π²ΠΈΠ±Ρ€Π°Ρ†ΠΈΠΉ, акустичСского ΠΈ ΡƒΠ΄Π°Ρ€Π½ΠΎΠ³ΠΎ воздСйствия. ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹ΠΉ Π² процСссС проСктирования, позволяСт ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ характСристики издСлия ΠΈ провСсти ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΡŽ конструкции Π±Π΅Π· создания ΠΎΠΏΡ‹Ρ‚Π½ΠΎΠ³ΠΎ ΠΎΠ±Ρ€Π°Π·Ρ†Π°. Анализ проводился с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ обСспСчСния "T-Flex Анализ". Π˜ΡΡ…ΠΎΠ΄Π½Π°Ρ трСхмСрная модСль Π±Ρ‹Π»Π° Ρ€Π°Π·Π±ΠΈΡ‚Π° Π½Π° Ρ‚Ρ€ΠΈ подсборки: ΠΊΠΎΡ€ΠΏΡƒΡΠ½ΡƒΡŽ, Ρ€ΠΎΡ‚ΠΎΡ€Π½ΡƒΡŽ ΠΈ ΡΡ‚Π°Ρ‚ΠΎΡ€Π½ΡƒΡŽ. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ частотного Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ расчСта ΠΏΡ€ΠΈ воздСйствии Π½Π° Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒ-ΠΌΠ°Ρ…ΠΎΠ²ΠΈΠΊ квазистатичСских Π½Π°Π³Ρ€ΡƒΠ·ΠΎΠΊ. По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½Π΅Ρ‡Π½ΠΎ-элСмСнтного Π°Π½Π°Π»ΠΈΠ·Π° ΠΌΠΎΠΆΠ½ΠΎ ΡΠΊΠ°Π·Π°Ρ‚ΡŒ, Ρ‡Ρ‚ΠΎ спроСктированный Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒ-ΠΌΠ°Ρ…ΠΎΠ²ΠΈΠΊ с большим запасом удовлСтворяСт трСбованиям надСТности. Π‘ΠΎΠ»ΡŒΡˆΠΈΠ΅ коэффициСнты запасов говорят ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ ΠΊΠΎΠ½ΡΡ‚Ρ€ΡƒΠΊΡ†ΠΈΡŽ Π² дальнСйшСм ΠΌΠΎΠΆΠ½ΠΎ ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ

    Fuller\u27s First Fifty - No. 03

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    A monthly historical newsletter published for the Fuller community during the fiftieth anniversary year. The School of World Mission: a new school for a new movement -- Donald A. McGavran: beginning again at 67 -- George Eldon Ladd: an appreciatio

    Additive manufacturing of stainless steel via fused deposition

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    Conventionally, processes for additive manufacturing of metals use laser or electron beams and open powder. This makes them expensive and potentially hazardous to health. In contrast to that, fused deposition of metals (FDMet) represents a low cost and safe alternative for fabrication of near net-shape metal structures. Figure 1 illustrates the FDMet process used in this study. 316L stainless steel powder is mixed with a thermoplastic binder into a homogeneous feedstock. The feedstock was extruded into a filament, which is used for 3D printing in off-the-shelf, low cost, fused deposition modeling 3D printers. More than 60 wt% of the thermoplastic binder is removed in a solvent debinding step, leaving behind a porous structure consisting of metal powder and the insoluble backbone polymer. In a thermal step, the backbone is removed by pyrolysis. Please click Additional Files below to see the full abstract

    Mining co-regulated gene profiles for the detection of functional associations in gene expression data

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    Motivation: Association pattern discovery (APD) methods have been successfully applied to gene expression data. They find groups of co-regulated genes in which the genes are either up- or down-regulated throughout the identified conditions. These methods, however, fail to identify similarly expressed genes whose expressions change between up- and down-regulation from one condition to another. In order to discover these hidden patterns, we propose the concept of mining co-regulated gene profiles. Co-regulated gene profiles contain two gene sets such that genes within the same set behave identically (up or down) while genes from different sets display contrary behavior. To reduce and group the large number of similar resulting patterns, we propose a new similarity measure that can be applied together with hierarchical clustering methods. Results: We tested our proposed method on two well-known yeast microarray data sets. Our implementation mined the data effectively and discovered patterns of co-regulated genes that are hidden to traditional APD methods. The high content of biologically relevant information in these patterns is demonstrated by the significant enrichment of co-regulated genes with similar functions. Our experimental results show that the Mining Attribute Profile (MAP) method is an efficient tool for the analysis of gene expression data and competitive with bi-clustering techniques. Contact: [email protected] Supplementary information: Supplementary data and an executable demo program of the MAP implementation are freely available at http://www.fgcz.ch/publications/ma
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