The Experts below are selected from a list of 67428 Experts worldwide ranked by ideXlab platform

S.m. Dunn - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP - A compiler that easily retargets high level language programs for different signal processing architectures
    International Conference on Acoustics Speech and Signal Processing, 1
    Co-Authors: J.e. Peters, S.m. Dunn
    Abstract:

    The authors describe a compiler for signal processing applications with high level language control structures and the ability to express computational parallelism. There are two expert system back-ends that Generate Code-using advice about the architecture of the target machine(s). The first back-end Generates Code for control flow, and the second Generates Code for computation. Both expert systems use a rule base that describes the number, type, and architecture of the target processors. If an instruction cannot be directly implemented, then functionally equivalent intermediate language statements are automatically Generated. Currently, the prototype compiler Generates TMS320 family assembly Code and Code for distributed memory parallel computers. >

Sebastian Schildt - One of the best experts on this subject based on the ideXlab platform.

  • WoWMoM - Introducing a harmonized and generic cross-platform interface between a Vehicle and the Cloud
    2016 IEEE 17th International Symposium on A World of Wireless Mobile and Multimedia Networks (WoWMoM), 2016
    Co-Authors: Marco Wagner, Dennis Grewe, Jeroen Laverman, Sebastian Schildt
    Abstract:

    Vehicle-to-Cloud connectivity is opening up a vehicle's internal data and function portfolio to the outside world. This sets up new chances by being able to create new customer services that enable new business models and opportunities. However, current approaches for Vehicle-to-Cloud connectivity tend to build technological silos by being restricted to a single manufacturer or model, a single functionality or to the automotive domain which excludes seamless connectivity to other domains such as IoT or IT. Hence, a harmonized and generic cross-platform interface, a so called Vehicle Abstraction Layer, between the vehicle and the cloud has to be developed. A key issue within this task is the design of an abstract description of data and functionality provided by a vehicle. Such a description allows to automatically Generate Code in order to bind any vehicle being described to a cloud system. This paper introduces such an abstract description by using Eclipse Vorto, an open source device description framework. It also presents the technology used as well as a description scheme. Furthermore, the approach is illustrated by an example scenario.

J.e. Peters - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP - A compiler that easily retargets high level language programs for different signal processing architectures
    International Conference on Acoustics Speech and Signal Processing, 1
    Co-Authors: J.e. Peters, S.m. Dunn
    Abstract:

    The authors describe a compiler for signal processing applications with high level language control structures and the ability to express computational parallelism. There are two expert system back-ends that Generate Code-using advice about the architecture of the target machine(s). The first back-end Generates Code for control flow, and the second Generates Code for computation. Both expert systems use a rule base that describes the number, type, and architecture of the target processors. If an instruction cannot be directly implemented, then functionally equivalent intermediate language statements are automatically Generated. Currently, the prototype compiler Generates TMS320 family assembly Code and Code for distributed memory parallel computers. >

Tony Beltramelli - One of the best experts on this subject based on the ideXlab platform.

  • EICS - pix2Code: Generating Code from a Graphical User Interface Screenshot
    Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2018
    Co-Authors: Tony Beltramelli
    Abstract:

    Transforming a graphical user interface screenshot created by a designer into computer Code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that deep learning methods can be leveraged to train a model end-to-end to automatically reverse engineer user interfaces and Generate Code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).

  • pix2Code: Generating Code from a graphical user interface screenshot
    Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems EICS 2018, 2018
    Co-Authors: Tony Beltramelli
    Abstract:

    Transforming a graphical user interface screenshot created by a designer into computer Code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that deep learning methods can be leveraged to train a model end-to-end to automatically Generate Code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).

Marco Wagner - One of the best experts on this subject based on the ideXlab platform.

  • WoWMoM - Introducing a harmonized and generic cross-platform interface between a Vehicle and the Cloud
    2016 IEEE 17th International Symposium on A World of Wireless Mobile and Multimedia Networks (WoWMoM), 2016
    Co-Authors: Marco Wagner, Dennis Grewe, Jeroen Laverman, Sebastian Schildt
    Abstract:

    Vehicle-to-Cloud connectivity is opening up a vehicle's internal data and function portfolio to the outside world. This sets up new chances by being able to create new customer services that enable new business models and opportunities. However, current approaches for Vehicle-to-Cloud connectivity tend to build technological silos by being restricted to a single manufacturer or model, a single functionality or to the automotive domain which excludes seamless connectivity to other domains such as IoT or IT. Hence, a harmonized and generic cross-platform interface, a so called Vehicle Abstraction Layer, between the vehicle and the cloud has to be developed. A key issue within this task is the design of an abstract description of data and functionality provided by a vehicle. Such a description allows to automatically Generate Code in order to bind any vehicle being described to a cloud system. This paper introduces such an abstract description by using Eclipse Vorto, an open source device description framework. It also presents the technology used as well as a description scheme. Furthermore, the approach is illustrated by an example scenario.