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Suche nach „[JournalArticle]“ hat 1722 Publikationen gefunden
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    GesundAngewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    N. Schmidkonz, Doris Eberhardt

    Mit Leadership zur personenzentrierten Vermittlung von Gesundheitsinformationen

    Ein Praxisentwicklungsprojekt zur Förderung selbständiger Bewegung nach Kniegelenksimplantation

    PADUA - Die Fachzeitschrift für Pflegepädagogik, Patientenedukation und -bildung, vol. 15, no. 1, pp. 31-37

    2020

    GesundAngewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    C. Kölblin, Doris Eberhardt

    Bedürfnisgerechte Information von Angehörigen kritisch Kranker

    Eine Analyse des Informationsangebots auf Webseiten bayrischer Intensivstationen

    PADUA - Die Fachzeitschrift für Pflegepädagogik, Patientenedukation und -bildung, vol. 15, no. 1, pp. 15-22

    2020

    DigitalMaschinenbau und Mechatronik

    Zeitschriftenartikel

    F. Heilmeier, R. Koos, Peter Hornberger, Jochen Hiller, et al.

    Calibration of cast-in Fibre-Bragg-Gratings for internal strain measurements in cast aluminium by using neutron diffraction

    [Submitted for publication]

    Measurement

    2020

    NachhaltigElektrotechnik und MedientechnikIQMA

    Zeitschriftenartikel

    Christoph Metzke, Werner Frammelsberger, Jonas Weber, F. Kühnel, K. Zhu, M. Lanza, Günther Benstetter

    On the Limits of Scanning Thermal Microscopy of Ultrathin Films

    Materials, vol. 13, no. 3

    2020

    DOI: 10.3390/ma13030518

    Abstract anzeigen

    Heat transfer processes in micro- and nanoscale devices have become more and more important during the last decades. Scanning thermal microscopy (SThM) is an atomic force microscopy (AFM) based method for analyzing local thermal conductivities of layers with thicknesses in the range of several nm to µm. In this work, we investigate ultrathin films of hexagonal boron nitride (h-BN), copper iodide in zincblende structure (γ-CuI) and some test sample structures fabricated of silicon (Si) and silicon dioxide (SiO2) using SThM. Specifically, we analyze and discuss the influence of the sample topography, the touching angle between probe tip and sample, and the probe tip temperature on the acquired results. In essence, our findings indicate that SThM measurements include artefacts that are not associated with the thermal properties of the film under investigation. We discuss possible ways of influence, as well as the magnitudes involved. Furthermore, we suggest necessary measuring conditions that make qualitative SThM measurements of ultrathin films of h-BN with thicknesses at or below 23 nm possible.

    NachhaltigElektrotechnik und MedientechnikIQMA

    Zeitschriftenartikel

    W. Ni, L. Liu, Y. Zhang, C. Niu, H. Fan, G. Song, D. Liu, Günther Benstetter, G. Lei

    Effect of intermittent He/D ion irradiations on W nano-fuzz growth over W targets

    Vacuum, vol. 173, no. March

    2020

    DOI: 10.1016/j.vacuum.2019.109146

    Abstract anzeigen

    The intermittent He/D ion irradiations of polycrystalline W have been performed at the ion energy of 50 eV by changing the time of the single irradiations and the irradiation temperature. All irradiated W specimens have been observed by scanning electron microscopy, and the effect of intermittent He/D ion irradiations on the W fuzz growth has been analyzed. The W fuzz growth over W targets does not show the clear dependence on the intermittent He/D ion irradiations, where the He/D ion fluence of the single irradiations typically varies from 5.0 × 1024 to 2.5 × 1025/m2. However, a slight change in the W surface temperature during the single He ion irradiations significantly affects the W fuzz growth rate. Analysis indicates that W fuzz growth is significantly affected by the total He ion fluence varying from 5.0 × 1024 to 5.0 × 1025/m2 and the irradiation temperature varying from 1100 to 1450 K. This current study will play a crucial role in understanding the W fuzz growth under the periodic He/D ion irradiations of W divertor in fusion reactors, such as ELMs.

    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    Class of Monotone Kernelized Classifiers on the basis of the Choquet Integral

    Expert Systems, vol. 37, no. First published: 21 January 2020, pp. 1-15

    2020

    DOI: 10.1111/exsy.12506

    Abstract anzeigen

    The key property of monotone classifiers is that increasing (decreasing) input values lead to increasing (decreasing) the output value. Preserving monotonicity for a classifier typically requires many constraints to be respected by modeling approaches such as artificial intelligence techniques. The type of constraints strongly depends on the modeling assumptions. Of course, for sophisticated models such conditions might be very complex. In this study we present a new family of kernels that we call it Choquet kernels. Henceforth it allows for employing popular kernel‐based methods such as support vector machines. Instead of a naïve approach with exponential computational complexity we propose an equivalent formulation with quadratic time in the number of attributes. Furthermore, since coefficients derived from kernel solutions are not necessarily monotone in the dual form, different approaches are proposed to monotonize coefficients. Finally experiments illustrate beneficial properties of the Choquet kernels.

    DigitalAngewandte InformatikAngewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    M. Kretschmann, Andreas Fischer, Benedikt Elser

    Extracting Keywords from Publication Abstracts for an Automated Researcher Recommendation System

    Digitale Welt, vol. 4, no. 1, pp. 20-25

    2020

    DOI: 10.1007/s42354-019-0227-2

    Abstract anzeigen

    This paper presents an automated keyword assignment system for scientific abstracts. That system is applied to paper abstracts collected in a local publication database and used to drive a researcher recommendation system. Problems like low data volume and missing keywords are discussed. For remediation, training is performed on an extended data set based on large online publication databases. Additionally a closer look at label imbalance in the dataset is taken. Ten multi-label classification algorithms for assigning keywords from a given catalogue to a scientific abstract are compared. The usage of binary relevance as transformation method with LightGBM as classifier yields the best results. Random oversampling before the training phase additionally increases the F1-Score by around 5-6%.

    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    A Class of Monotone Kernelized Classifiers on the Basis of the Chopuet Integral

    [Accepted for publication]

    Expert Systems

    2020

    NachhaltigTC Freyung

    Zeitschriftenartikel

    A. Poque González, Y. Masip Macia, Javier Valdés, Luis Ramirez Camargo

    Cogeneración en Chile: Capacidades, desarrollo y perspectivas

    [Status: In Press]

    Avances en Energías Renovables y Medio Ambiente (AVERMA)

    2020

    Abstract anzeigen

    RESUMEN: En Chile, el proyecto de cogeneración más antiguo data de 1930 y operó hasta el año 1997. Sin embargo, pese a que la tecnología lleva introducida largo tiempo, pocos son los estudios que han analizado el potencial de CHP y su evolución. Un primer paso para el estudio del potencial del país es la creación de un catastro que incluya la capacidad instalada. El interés de este ejercicio radica en el potencial de integración de mayores cantidades de CHP en el sistema eléctrico con el objetivo de hacer frente a la intermitencia de fuentes de energía no convencionales. Además, las plantas CHP pueden ayudar a alcanzar los objetivos de eficiencia energética gracias a la posibilidad de los generadores de volcar a la red tanto la electricidad como calor no consumido en los procesos productivos. Sin embargo, para que esto ocurra es necesario el desarrollo de un marco regulatorio acorde a las capacidades y características de las plantas de CHP. El objetivo de este artículo es precisamente identificar las características de las instalaciones en industrias específicas, así como su evolución, con el objetivo de extrapolar los datos al resto de la economía y obtener un potencial de CHP para el país. Para ello, se han hecho consultas de catastros anteriores, así como entrevistas con empresas para conocer el estado actual del parque de plantas de CHP en el país. Palabras clave: cogeneración, eficiencia energética, flexibilidad del sistema eléctrico 1.

    DigitalTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, C. Brenner, O. Hinz

    AKEGIS: automatic keyword generation for sponsored search advertising in online retailing

    Decision Support Systems, vol. 119, no. April, pp. 96-106

    2019

    DOI: 10.1016/j.dss.2019.02.001

    Abstract anzeigen

    Sponsored search advertisers face several complex decisions when planning and implementing a new sponsored search advertising campaign. These decisions include the selection of keywords, the definition of landing pages, and the formulation of bidding strategies. Relatively low attention has been paid on supporting the selection of keywords in recent research and most studies on sponsored search advertising focus on the formulation of bidding strategies and strategies for budget planning. We present a novel approach for automatically generating sponsored search keywords that relies on the theory of consumer search behavior. Our approach uses an online store's internal search log to extract keywords used by consumers within their search process, because recent research has shown that especially consumers with a high conversion probability that exhibit goal-directed instead of exploratory search patterns use an online store's internal search engine. We empirically test our approach based on a store's internal search engine and identify the effects of this approach by comparing it to a state-of-the-art approach. Our analysis reveals that our approach substantially increased the number of profitable keywords, improved the store's conversion rate by approximately 41%, and decreased the average cost per click by more than 70%.

    DigitalMaschinenbau und Mechatronik

    Zeitschriftenartikel

    Gabriel Herl, Jochen Hiller, Kasperl, S. Maier, A.

    Reduktion von Metallartefakten durch multipositionale Datenfusion in der industriellen Röntgen-Computertomographie

    tm - Technisches Messen, vol. 87, no. 2

    2019

    DOI: 10.1515/teme-2019-0137

    Abstract anzeigen

    Metallartefakte stellen eine große Herausforderung für das Messen mit Röntgen-Computertomographie dar. Dieser Beitrag stellt die Methode der multipositionalen Datenfusion zur Reduktion von Metallartefakten vor. Dazu werden mehrere Scans desselben Objekts bei unterschiedlicher Objekt-positionierung durchgeführt, aufeinander registriert und zur Fusion gemeinsam unter Betrachtung eines lokalen Gütemaßes rekonstruiert. In praxisnahen Experimenten wird der Mehrwert der Methode gezeigt. Insbesondere wird dargestellt, wie mit wenig Aufwand und ohne Vorwissen Kunststoffstrukturen trotz starker Metallartefakte sichtbar gemacht werden können, womit das Verfahren ein Alleinstellungsmerkmal gegenüber den existierenden Metallartefaktreduktionsverfahren aufweist.

    DigitalGesundAngewandte WirtschaftswissenschaftenGMRC

    Zeitschriftenartikel

    Josef Scherer

    Healthcare und Pflege 4.0 – Die digitale Transformation von Compliance, Risikomanagement und Standards im Gesundheitswesen.

    Teil 4: "Wirksamkeit" eines (Compliance-) Risiko-Managementsystems mit Digitalisierung und "nudges"

    JMG Journal für Medizin- und Gesundheitsrecht

    2019

    DigitalGesundAngewandte WirtschaftswissenschaftenGMRC

    Zeitschriftenartikel

    Josef Scherer

    Healthcare und Pflege 4.0 – Die digitale Transformation von Compliance, Risikomanagement und Standards im Gesundheitswesen.

    Teil 3: Integration von Standards in digitalisierte, vernetzte Managementsysteme

    JMG Journal für Medizin- und Gesundheitsrecht

    2019

    DigitalGesundAngewandte WirtschaftswissenschaftenGMRC

    Zeitschriftenartikel

    Josef Scherer

    Healthcare und Pflege 4.0 – Die digitale Transformation von Compliance, Risikomanagement und Standards im Gesundheitswesen.

    Teil 2: Organhaftung und Beweislast bei Verstoß gegen Regeln der Technik

    JMG Journal für Medizin- und Gesundheitsrecht

    2019

    DigitalGesundAngewandte WirtschaftswissenschaftenGMRC

    Zeitschriftenartikel

    Josef Scherer

    Healthcare und Pflege 4.0 – Die digitale Transformation von Compliance, Risikomanagement und Standards im Gesundheitswesen. Teil 1

    JMG Journal für Medizin- und Gesundheitsrecht

    2019

    DigitalAngewandte Informatik

    Zeitschriftenartikel

    A. Aldahlooh, E. Masala, G. Wallendael, P. Lambert, Marcus Barkowsky

    Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures

    Signal Processing: Image Communication, vol. 74, no. May, pp. 32-41

    2019

    DOI: 10.1016/j.image.2019.01.004

    Abstract anzeigen

    Subjective quality assessment is a necessary activity to validate objective measures or to assess the performance of innovative video processing technologies. However, designing and performing comprehensive tests requires expertise and a large effort especially for the execution part. In this work we propose a methodology that, given a set of processed video sequences prepared by video quality experts, attempts to reduce the number of subjective tests by selecting a subset with minimum size which is expected to yield the same conclusions of the larger set. To this aim, we combine information coming from different types of objective quality metrics with clustering and machine learning algorithms that perform the actual selection, therefore reducing the required subjective assessment effort while trying to preserve the variety of content and conditions needed to ensure the validity of the conclusions. Experiments are conducted on one of the largest publicly available subjectively annotated video sequence dataset. As performance criterion, we chose the validation criteria for video quality measurement algorithms established by the International Telecommunication Union.

    DigitalAngewandte Informatik

    Zeitschriftenartikel

    T. Mizdos, Marcus Barkowsky, M. Uhrina, P. Pocta

    Linking Bitstream Information to QoE: A Study on Still Images Using HEVC Intra Coding

    Advances in Electrical and Electronic Engineering, vol. 17, no. 4, pp. 436-445

    2019

    DOI: 10.15598/aeee.v17i4.3625

    Abstract anzeigen

    The coding tools used in image and video encoders aim at high perceptual quality for low bitrates. Analyzing the results of the encoders in terms of quantization parameter, image partitioning, prediction modes or residuals may provide important insight into the link between those tools and the human perception. As a first step, this contribution analyzes the possibility to transcode reference images of three well-known image databases, i.e. IRCCyN/IVC, LIVE and TID2013, from their original, older formats to HEVC; thus creating a homogeneous database of 327 HEVC encoded images accompanied with bitstream parameters and values obtained from objective and subjective assessments. Secondly, it analyzes some of the HEVC intra coding parameters regarding their influence on the image quality by using machine learning, namely Support Vector Machine - Regression.

    NachhaltigAngewandte Naturwissenschaften und WirtschaftsingenieurwesenTAZ Spiegelau

    Zeitschriftenartikel

    Benedikt Scharfe, S. Lehmann, Thorsten Gerdes, D. Brüggemann

    Optical and Mechanical Properties of Highly Transparent Glass-Flake Composites

    Journal of Composites Science, vol. 3, no. 101, pp. 1-17

    2019

    DOI: 10.3390/jcs3040101

    Abstract anzeigen

    In this paper, the dynamic mechanic and optical properties of composites made of Polyvinyl Butyral (PVB) and Micro Glass Flakes (MGF) with matching refractive indices (RIs) are investigated. The composite is produced by a slurry-based process using additional blade casting and lamination. It can be shown that a high degree of ordering of the MGF in the polymer matrix can be achieved with this method. This ordering, combined with the platelet-like structure of the MGF, leads to very efficient strengthening of the PVB with increasing content of the MGF. By carefully adjusting the RIs of the polymer, it is shown that haze is reduced to below 2%, which has not been achieved with irregular fillers or glass fibers.

    NachhaltigAngewandte Naturwissenschaften und WirtschaftsingenieurwesenTAZ Spiegelau

    Zeitschriftenartikel

    L. Schwinger, S. Lehmann, L. Zielbauer, Benedikt Scharfe, Thorsten Gerdes

    Aluminum Coated Micro Glass Spheres to Increase the Infrared Reflectance

    Coatings (Special Issue "Current Research in Thin Film Deposition: Applications, Theory, Processing, and Characterisation"), vol. 9, no. 3

    2019

    DOI: 10.3390/coatings9030187

    Abstract anzeigen

    The reflective properties of micro glass spheres (MGS) such as Solid Micro Glass Spheres (SMGS, “glass beads”) and Micro Hollow Glass Spheres (MHGS, “glass bubbles”) are utilized in various applications, for example, as retro-reflector for traffic road stripe paints or facade paints. The reflection behavior of the spheres can be further adapted by coating the surfaces of the spheres, e.g., by titanium dioxide or a metallic coating. Such coated spheres can be employed as, e.g., mid infrared (MIR)-reflective additives in wall paints to increase the thermal comfort in rooms. As a result, the demand of heating energy can be reduced. In this paper, the increase of the MIR-reflectance by applying an aluminum coating on MGS is discussed. Aluminum coatings are normally produced via the well-known Physical Vapor Deposition (PVD) or Chemical Vapor Deposition (CVD). In our work, the Liquid Phase Deposition (LPD) method, as a new, non-vacuum method for aluminum coating on spherical spheres, is investigated as an alternative, scalable, and simple coating process. The LPD-coating is characterized by X-ray diffraction (XRD), energy dispersive X-ray spectroscopy (EDX), scanning electron microscopy (SEM), and reflection measurements. The results are compared to a reference PVD-coating. It is shown that both sphere types, SMGS and MHGS, can be homogeneously coated with metallic aluminum using the LPD method but the surface morphology plays an important role concerning the reflection properties. With the SMGS, a smooth surface morphology and a reflectance increase to a value of 30% can be obtained. Due to a structured surface morphology, a reflection of only 5% could be achieved with the MHGS. However, post-treatments showed that a further increase is possible.

    NachhaltigElektrotechnik und MedientechnikIQMA

    Zeitschriftenartikel

    Z. Bi, D. Liu, Y. Zhang, L. Liu, Y. Xia, Y. Hong, H. Fan, Günther Benstetter, G. Lei, L. Yan

    The evolution of He nanobubbles in tungsten under fusion-relevant He ion irradiation conditions

    Nuclear Fusion, vol. 59, no. 8

    2019

    DOI: 10.1088/1741-4326/ab2472

    Abstract anzeigen

    He-induced W nanofuzz growth over the W divertor target is one of the main limiting factors affecting the current design and development of fusion reactors. In this paper, based on He reaction rate model in W, we simulate the growth and evolution of He nanobubbles during W nanofuzz formation under fusion-relevant He+ irradiation conditions. Our modeling unveils the existence of He nanobubble-enriched W surface layer (<10 nm), formed due to the He diffusion in W crystal into defect sites. At an elevated temperature, the growth of He bubbles in the W surface layer prevents He atoms diffusing into the deep layer (>10 nm). The formation of W nanofuzz at the surface is attributed to surface bursting of high-density He bubbles with their radius of ~4 nm, and an increase in the surface area of irradiated W. Our findings have been well confirmed by the experimental measurements.