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  1. Book: Web 2.0 im Bereich der Personalbeschaffung

    Rehm, Florian

    (Praxisorientierte Personal- und Organisationsforschung ; Bd. 19)

    2014  

    Author's details Florian Rehm
    Series title Praxisorientierte Personal- und Organisationsforschung ; Bd. 19
    Keywords Personalbeschaffung ; World Wide Web 2.0 ; Personalmarketing ; Social Web ; Erfolgsfaktor ; Deutschland
    Language German
    Size 102 S., Ill., graph. Darst.
    Edition 1. Aufl.
    Publisher Hampp
    Publishing place München u.a.
    Document type Book
    Note Literatur- und URL-Verz. S. 98 - 102
    ISBN 3866188897 ; 9783866188891 ; 9783866189898 ; 3866189893
    Database ECONomics Information System

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  2. Book: Web 2.0 im Bereich der Personalbeschaffung

    Rehm, Florian

    (Praxisorientierte Personal- und Organisationsforschung ; Bd. 19)

    2014  

    Author's details Florian Rehm
    Series title Praxisorientierte Personal- und Organisationsforschung ; Bd. 19
    Keywords Personalbeschaffung ; World Wide Web 2.0 ; Personalmarketing ; Social Web ; Erfolgsfaktor ; Deutschland
    Language German
    Size 102 S., Ill., graph. Darst.
    Edition 1. Aufl.
    Publisher Hampp
    Publishing place München u.a.
    Document type Book
    Note Literatur- und URL-Verz. S. 98 - 102
    ISBN 3866188897 ; 9783866188891 ; 9783866189898 ; 3866189893
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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    Order via subito

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  3. Book ; Online: Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations

    Rehm, Florian / Vallecorsa, Sofia / Borras, Kerstin / Krücker, Dirk

    2021  

    Abstract: The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based simulation is extremely demanding in terms of computing resources. This ... ...

    Abstract The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based simulation is extremely demanding in terms of computing resources. This challenge motivates investigations of faster, alternative approaches for replacing the standard Monte Carlo approach. We apply Generative Adversarial Networks (GANs), a deep learning technique, to replace the calorimeter detector simulations and speeding up the simulation time by orders of magnitude. We follow a previous approach which used three-dimensional convolutional neural networks and develop new two-dimensional convolutional networks to solve the same 3D image generation problem faster. Additionally, we increased the number of parameters and the neural networks representational power, obtaining a higher accuracy. We compare our best convolutional 2D neural network architecture and evaluate it versus the previous 3D architecture and Geant4 data. Our results demonstrate a high physics accuracy and further consolidate the use of GANs for fast detector simulations.

    Comment: Paper published at vCHEP2021 conference
    Keywords High Energy Physics - Experiment ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2021-05-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Enabling Cross-Domain Communication

    Klaiber, Michael J. / Acosta, Axel J. / Feldner, Ingo / Rehm, Falk

    How to Bridge the Gap between AI and HW Engineers

    2021  

    Abstract: A key issue in system design is the lack of communication between hardware, software and domain expert. Recent research work shows progress in automatic HW/SW co-design flows of neural accelerators that seems to make this kind of communication obsolete. ... ...

    Abstract A key issue in system design is the lack of communication between hardware, software and domain expert. Recent research work shows progress in automatic HW/SW co-design flows of neural accelerators that seems to make this kind of communication obsolete. Most real-world systems, however, are a composition of multiple processing units, communication networks and memories. A HW/SW co-design process of (reconfigurable) neural accelerators, therefore, is an important sub-problem towards a common co-design methodology. The ultimate challenge is to define the constraints for the design space exploration on system level - a task which requires deep knowledge and understanding of hardware architectures, mapping of workloads onto hardware and the application domain, e.g. artificial intelligence. For most projects, these skills are distributed among several people or even different teams which is one of the major reasons why there is no established end-to-end development methodology for digital systems. This position paper discusses possibilities how to establish such a methodology for systems that include (reconfigurable) dedicated accelerators and outlines the central role that languages and tools play in the process.

    Comment: LATTE 2021 Workshop on Languages, Tools, and Techniques for Accelerator Design
    Keywords Computer Science - Hardware Architecture ; Computer Science - Computation and Language ; Computer Science - Software Engineering
    Subject code 006
    Publishing date 2021-04-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Aktuelle Aufgaben der Staatsforstverwaltung im Privat- und Körperschaftswald

    Rehm, F.

    AFZ. Der Wald

    2002  

    Abstract: Die Staatsforstverwaltung blickt 2002 auf ihr 250-jähriges Bestehen zurück. In dieser langen Zeit haben sich viele Entwicklungen vollzogen, welche sich auch in den Aufgaben der Verwaltung gegenüber dem Privat- und Körperschaftswald widerspiegeln. ...

    Abstract Die Staatsforstverwaltung blickt 2002 auf ihr 250-jähriges Bestehen zurück. In dieser langen Zeit haben sich viele Entwicklungen vollzogen, welche sich auch in den Aufgaben der Verwaltung gegenüber dem Privat- und Körperschaftswald widerspiegeln.
    Keywords Waldland ; Bayern ; Verwaltung ; Beratungstaetigkeit ; Gemeineigentum
    Language German
    Edition v. 57(23) p. 1222-1224
    Document type Article
    ISSN 1430-2713
    Database ELFIS - Nutrition, agriculture and forestry information system

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    Order via subito

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    Inter-library loan at ZB MED

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  6. Book ; Audio / Video ; Thesis: Visual data analysis in air traffic management

    Rehm, Frank

    (Forschungsbericht / Deutsches Zentrum für Luft- und Raumfahrt ; 2007,8)

    2007  

    Author's details Frank Rehm. Deutsches Zentrum für Luft- und Raumfahrt, Institut für Flugführung, Braunschweig. [Hrsg. Deutsches Zentrum für Luft- und Raumfahrt e.V., Bibliotheks- und Informationswesen]
    Series title Forschungsbericht / Deutsches Zentrum für Luft- und Raumfahrt ; 2007,8
    Language English
    Size 132 S., Ill., graph. Darst., 21 cm
    Edition Als Ms. gedr.
    Publisher DLR, Bibliotheks- und Informationswesen
    Publishing place Köln
    Document type Book ; Audio / Video ; Thesis
    Thesis / German Habilitation thesis Univ., Diss.--Magdeburg, 2007
    Note Mit Zsfassung in dt. Sprache
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  7. Book: Krankenhausprivatisierung

    Rehm, Fabian

    ein Beispiel für die neoliberale Umstrukturierung öffentlicher Dienste

    2007  

    Author's details Fabian Rehm
    Keywords Privatisierung ; Krankenhaus ; Deutschland ; Krankenpflege ; Pflegedienst ; Gesundheitswesen ; Gesundheitspolitik ; Öffentlicher Dienst
    Language German
    Size 148 S., 210 mm x 148 mm
    Edition 1. Aufl.
    Document type Book
    ISBN 3828893945 ; 9783828893948
    Database ECONomics Information System

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    Order via subito

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  8. Book ; Online ; Thesis: Visual data analysis in air traffic management

    Rehm, Frank

    2007  

    Abstract: Visual data mining, multi-dimensional scaling, POLARMAP, Sammon's mapping, clustering, outlier ... ...

    Author's details von Frank Rehm
    Abstract Visual data mining, multi-dimensional scaling, POLARMAP, Sammon's mapping, clustering, outlier detection
    Language English
    Size Online-Ressource (PDF-Datei: 140 S., 2779 KB)
    Publisher Universitätsbibliothek
    Publishing place Magdeburg
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Univ., Fak. für Informatik, Diss.--Magdeburg, 2007
    Database Former special subject collection: coastal and deep sea fishing

    Full text online

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  9. Book ; Online: Reduced Precision Strategies for Deep Learning

    Rehm, Florian / Vallecorsa, Sofia / Saletore, Vikram / Pabst, Hans / Chaibi, Adel / Codreanu, Valeriu / Borras, Kerstin / Krücker, Dirk

    A High Energy Physics Generative Adversarial Network Use Case

    2021  

    Abstract: Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources. A promising approach to make deep learning more efficient is ...

    Abstract Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources. A promising approach to make deep learning more efficient is to quantize the parameters of the neural networks to reduced precision. Reduced precision computing is extensively used in modern deep learning and results to lower execution inference time, smaller memory footprint and less memory bandwidth. In this paper we analyse the effects of low precision inference on a complex deep generative adversarial network model. The use case which we are addressing is calorimeter detector simulations of subatomic particle interactions in accelerator based high energy physics. We employ the novel Intel low precision optimization tool (iLoT) for quantization and compare the results to the quantized model from TensorFlow Lite. In the performance benchmark we gain a speed-up of 1.73x on Intel hardware for the quantized iLoT model compared to the initial, not quantized, model. With different physics-inspired self-developed metrics, we validate that the quantized iLoT model shows a lower loss of physical accuracy in comparison to the TensorFlow Lite model.

    Comment: Submitted at ICPRAM 2021; from CERN openlab - Intel collaboration
    Keywords Physics - Data Analysis ; Statistics and Probability ; Computer Science - Artificial Intelligence ; High Energy Physics - Experiment
    Subject code 006
    Publishing date 2021-03-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  10. Article: Computer-Einsatz fur die Wasserwirtschaft

    Rehm, F

    Wasser und Boden. Aug 1982. v. 34 (8)

    1982  

    Title translation Application of computers in water management.
    Keywords water resources ; water management ; natural resources
    Language German
    Dates of publication 1982-08
    Size p. 334-335, 338.
    Document type Article
    Note Summary in English.
    ZDB-ID 241290-1
    ISSN 0043-0951
    ISSN 0043-0951
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

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