113 research outputs found
Further Investigation on Building and Benchmarking A Low Power Embedded Cluster for Education
Embedded parallel computing become popular, and the future of innovation in the semiconductor industry will be in ubiquitous computing. Many researchers built embedded cluster system with limited number of devices, but we utilize the device from embedded classroom to build more number of parallel computing unit. In this paper we built low power cluster consisting 32 ARM boards with low-cost customized power supply for high performance computing class for education purpose, tested with several benchmarks on embedded cluster system and analyse the raw performance
Survey of FPGA applications in the period 2000 – 2015 (Technical Report)
Romoth J, Porrmann M, Rückert U. Survey of FPGA applications in the period 2000 – 2015 (Technical Report).; 2017.Since their introduction, FPGAs can be seen in more and more different fields of applications. The key advantage is the combination of software-like flexibility with the performance otherwise common to hardware. Nevertheless, every application field introduces special requirements to the used computational architecture. This paper provides an overview of the different topics FPGAs have been used for in the last 15 years of research and why they have been chosen over other processing units like e.g. CPUs
Recent Application in Biometrics
In the recent years, a number of recognition and authentication systems based on biometric measurements have been proposed. Algorithms and sensors have been developed to acquire and process many different biometric traits. Moreover, the biometric technology is being used in novel ways, with potential commercial and practical implications to our daily activities. The key objective of the book is to provide a collection of comprehensive references on some recent theoretical development as well as novel applications in biometrics. The topics covered in this book reflect well both aspects of development. They include biometric sample quality, privacy preserving and cancellable biometrics, contactless biometrics, novel and unconventional biometrics, and the technical challenges in implementing the technology in portable devices. The book consists of 15 chapters. It is divided into four sections, namely, biometric applications on mobile platforms, cancelable biometrics, biometric encryption, and other applications. The book was reviewed by editors Dr. Jucheng Yang and Dr. Norman Poh. We deeply appreciate the efforts of our guest editors: Dr. Girija Chetty, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park and Dr. Sook Yoon, as well as a number of anonymous reviewers
Embedded System Design
A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things. It starts with an introduction to the field and a survey of specification models and languages for embedded and cyber-physical systems. It provides a brief overview of hardware devices used for such systems and presents the essentials of system software for embedded systems, including real-time operating systems. The author also discusses evaluation and validation techniques for embedded systems and provides an overview of techniques for mapping applications to execution platforms, including multi-core platforms. Embedded systems have to operate under tight constraints and, hence, the book also contains a selected set of optimization techniques, including software optimization techniques. The book closes with a brief survey on testing. This fourth edition has been updated and revised to reflect new trends and technologies, such as the importance of cyber-physical systems (CPS) and the Internet of things (IoT), the evolution of single-core processors to multi-core processors, and the increased importance of energy efficiency and thermal issues
Ortsbezogene Anwendungen und Dienste: 9. Fachgespräch der GI/ITG-Fachgruppe Kommunikation und Verteilte Systeme ; 13. & 14. September 2012
Der Aufenthaltsort eines mobilen Benutzers stellt eine wichtige Information für Anwendungen aus den Bereichen Mobile Computing, Wearable Computing oder Ubiquitous Computing dar. Ist ein mobiles Endgerät in der Lage, die aktuelle Position des Benutzers zu bestimmen, kann diese Information von der Anwendung berücksichtigt werden -- man spricht dabei allgemein von ortsbezogenen Anwendungen. Eng verknüpft mit dem Begriff der ortsbezogenen Anwendung ist der Begriff des ortsbezogenen Dienstes. Hierbei handelt es sich beispielsweise um einen Dienst, der Informationen über den aktuellen Standort übermittelt. Mittlerweile werden solche Dienste kommerziell eingesetzt und erlauben etwa, dass ein Reisender ein Hotel, eine Tankstelle oder eine Apotheke in der näheren Umgebung findet. Man erwartet, nicht zuletzt durch die Einführung von LTE, ein großes Potenzial ortsbezogener Anwendungen für die Zukunft.
Das jährlich stattfindende Fachgespräch "Ortsbezogene Anwendungen und Dienste" der GI/ITG-Fachgruppe Kommunikation und Verteilte Systeme hat sich zum Ziel gesetzt, aktuelle Entwicklungen dieses Fachgebiets in einem breiten Teilnehmerkreis aus Industrie und Wissenschaft zu diskutieren. Der vorliegende Konferenzband fasst die Ergebnisse des neunten Fachgesprächs zusammen.The location of a mobile user poses an important information for applications in the scope of Mobile Computung, Wearable Computing and Ubiquitous Computing. If a mobile device is able to determine the current location of its user, this information may be taken into account by an application. Such applications are called a location-based applications. Closely related to location-based applications are location-based services, which for example provides the user informations about his current location. Meanwhile such services are deployed commercially and enable travelers for example to find a hotel, a petrol station or a pharmacy in his vicinity. It is expected, not least because of the introduction of LTE, a great potential of locations-based applications in the future.
The annual technical meeting "Location-based Applications and Services" of the GI/ITG specialized group "Communication and Dsitributed Systems" targets to discuss current evolutions in a broad group of participants assembling of industrial representatives and scientists. The present proceedings summarizes the result of the 9th annual meeting
Deep Learning in Mobile and Wireless Networking: A Survey
The rapid uptake of mobile devices and the rising popularity of mobile
applications and services pose unprecedented demands on mobile and wireless
networking infrastructure. Upcoming 5G systems are evolving to support
exploding mobile traffic volumes, agile management of network resource to
maximize user experience, and extraction of fine-grained real-time analytics.
Fulfilling these tasks is challenging, as mobile environments are increasingly
complex, heterogeneous, and evolving. One potential solution is to resort to
advanced machine learning techniques to help managing the rise in data volumes
and algorithm-driven applications. The recent success of deep learning
underpins new and powerful tools that tackle problems in this space.
In this paper we bridge the gap between deep learning and mobile and wireless
networking research, by presenting a comprehensive survey of the crossovers
between the two areas. We first briefly introduce essential background and
state-of-the-art in deep learning techniques with potential applications to
networking. We then discuss several techniques and platforms that facilitate
the efficient deployment of deep learning onto mobile systems. Subsequently, we
provide an encyclopedic review of mobile and wireless networking research based
on deep learning, which we categorize by different domains. Drawing from our
experience, we discuss how to tailor deep learning to mobile environments. We
complete this survey by pinpointing current challenges and open future
directions for research
Embedded System Design
A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things. It starts with an introduction to the field and a survey of specification models and languages for embedded and cyber-physical systems. It provides a brief overview of hardware devices used for such systems and presents the essentials of system software for embedded systems, including real-time operating systems. The author also discusses evaluation and validation techniques for embedded systems and provides an overview of techniques for mapping applications to execution platforms, including multi-core platforms. Embedded systems have to operate under tight constraints and, hence, the book also contains a selected set of optimization techniques, including software optimization techniques. The book closes with a brief survey on testing. This fourth edition has been updated and revised to reflect new trends and technologies, such as the importance of cyber-physical systems (CPS) and the Internet of things (IoT), the evolution of single-core processors to multi-core processors, and the increased importance of energy efficiency and thermal issues
An innovative vision system for industrial applications
Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Tecnología Electrónica y de las Comunicaciones. Fecha de lectura: 20-11-2015A pesar de que los sistemas de visión por computadora ocupan un
puesto predominante en nuestra sociedad, su estructura no sigue ningún
estándar. La implementación de aplicaciones de visión requiere de plataformas
de alto rendimiento tales como GPUs o FPGAs y el uso de sensores
de imagen con características muy distintas a las de la electrónica
de consumo. En la actualidad, cada fabricante y equipo de investigación
desarrollan sus plataformas de visión de forma independiente y sin
ningún tipo de intercompatibilidad. En esta tesis se presenta una nueva
plataforma de visión por computador utilizable en un amplio espectro
de aplicaciones. Las características de dicha plataforma se han definido
tras la implementación de tres aplicaciones de visión, basadas en: SOC,
FPGA y GPU, respectivamente. Como resultado, se ha definido una
plataforma modular con los siguientes componentes intercambiables:
Sensor, procesador de imágenes ”al vuelo”, unidad de procesado principal,
acelerador hardware y pila de software. Asimismo, se presenta
un algoritmo para realizar transformaciones geométricas, sintetizable en
FPGA y con una latencia de tan solo 90 líneas horizontales. Todos los
elementos software de esta plataforma están desarrollados con licencias
de Software Libre; durante el trascurso de esta tesis se han contribuido
y aceptado más de 200 cambios a distintos proyectos de Software Libre,
tales como: Linux, YoctoProject y U-boot, entre otros, promoviendo el
ecosistema necesario para la creación de una comunidad alrededor de
esta tesis.Tras la implementación de la plataforma en un producto comercial,
Qtechnology QT5022, y su uso en varias aplicaciones industriales
se ha demostrado que es posible el uso de una plataforma genérica de
visión que permita reutilizar elementos y comparar resultados objetivamenteDespite the fact that computer vision systems place an important role in
our society, its structure does not follow any standard. The implementation
of computer vision application require high performance platforms,
such as GPUs or FPGAs, and very specialized image sensors. Nowadays,
each manufacturer and research lab develops their own vision platform
independently without considering any inter-compatibility. This Thesis
introduces a new computer vision platform that can be used in a wide
spectrum of applications. The characteristics of the platform has been
defined after the implementation of three different computer vision applications,
based on: SOC, FPGA and GPU respectively. As a result, a
new modular platform has been defined with the following interchangeably
elements: Sensor, Image Processing Pipeline, Processing Unit, Acceleration
unit and Computer Vision Stack. This thesis also presents
an FPGA synthetizable algorithm for performing geometric transformations
on the fly, with a latency under 90 horizontal lines. All the software
elements of this platform have an Open Source licence; over the course
of this thesis, more than 200 patches have been contributed and accepted
into different Open Source projects like the Linux Kernel, Yocto Project
and U-boot, among others, promoting the required ecosystem for the
creation of a community around this novel system. The platform has
been validated in an industrial product, Qtechnology QT5022, used on
diverse industrial applications; demonstrating the great advantages of a
generic computer vision system as a platform for reusing elements and
comparing results objectivel
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