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Träfflista för sökning "WFRF:(Sentilles Severine) "

Sökning: WFRF:(Sentilles Severine)

  • Resultat 1-10 av 53
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1.
  • Ahlberg, Carl, et al. (författare)
  • The Black Pearl: An Autonomous Underwater Vehicle
  • 2013
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The Black Pearl is a custom made autonomous underwater vehicle developed at Mälardalen University, Sweden. It is built in a modular fashion, including its mechanics, electronics and software. After a successful participation at the RoboSub competition in 2012 and winning the prize for best craftsmanship, this year we made minor improvements to the hardware, while the focus of the robot's evolution shifted to the software part. In this paper we give an overview of how the Black Pearl is built, both from the hardware and software point of view.
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2.
  • Axelsson, Jakob, et al. (författare)
  • Towards the architecture of a decision support ecosystem for system component selection
  • 2017
  • Ingår i: 11th Annual IEEE International Systems Conference, SysCon 2017 - Proceedings. - 9781509046225 - 9781509046232
  • Konferensbidrag (refereegranskat)abstract
    • When developing complex software-intensive systems, it is nowadays common practice to base the solution partly on existing software components. Selecting which components to use becomes a critical decision in development, but it is currently not well supported through methods and tools. This paper discusses how a decision support system for this problem could benefit from a software ecosystem approach, where participants share knowledge across organizations both through reuse of analysis models, and through partially disclosed past decision cases. We show how the ecosystem architecture becomes fundamental to deal with efficient knowledge sharing, while respecting constraints on integrity of intellectual property. A concrete architecture proposal is outlined, which is a web-based distributed system-of-systems. Experiences of a proof-of-concept implementation are also described.
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3.
  • Borde, Etienne, et al. (författare)
  • PRIDE - an Environment for Component-based Development of Distributed Real-time Embedded Systems
  • 2011
  • Ingår i: 9th Working IEEE/IFIP Conference on Software Architecture. - Los Alamitos : IEEE Computer Society. - 9780769543512 ; , s. 351-354
  • Konferensbidrag (refereegranskat)abstract
    • Settling down the software architecture for embedded system is a complex and time consuming task. Specific concerns that are generally issued from implementation details must be captured in the software architecture and assessed to ensure system correctness. The matter is further complicated by the inherent complexity and heterogeneity of the targeted systems, platforms and concerns. In addition, tools capable of conjointly catering for the complete design-verificationdeployment cycle, extra-functional properties and reuse are currently lacking. To address this, we have developed Pride, an integrated development environment for component-based development of embedded systems. Pride is based on an architecture relying on components with well-defined semantics that serve as the central development entity, and as means to support and aggregate various analysis and verification techniques throughout the development - from early specification to synthesis and deployment. Pride also provides generic support for integrating extra-functional properties into architectural definitions.
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4.
  • Bures, Tomas, et al. (författare)
  • A Component Model Family for Vehicular Embedded Systems
  • 2008
  • Ingår i: The 3rd International Conference on Software Engineering Advances, ICSEA 2008, Includes ENTISY 2008: International Workshop on Enterprise Information Systems. - 9780769533728 ; , s. 437-444
  • Konferensbidrag (refereegranskat)abstract
    • In this paper we propose to use components for managingthe increasing complexity in modern vehicular systems.Compared to other approaches, the distinguishingfeature of our work is using and benefiting from componentsthroughout the development process from early designto development and deployment, and an explicit separationof concerns at different levels of granularity. Basedon the elaboration of the specifics of vehicular systems (resourceconstraints, real-time requirements, hard demandson reliability), the paper identifies concerns that need to beaddressed by a component model for this domain, and describesa realization of such a component model.
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6.
  • Bures, Tomas, et al. (författare)
  • Progress Component Model Reference Manual - version 0.5
  • 2008
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • This report describes the component model developed within PROGRESS. In addition to defining the syntax and semantics, it also gives some background and motivation, and describes how this work relates to the overall PROGRESS vision and to the work in other areas of the project.
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7.
  • Bures, Tomas, et al. (författare)
  • Towards Component Modelling of Embedded Systems in the Vehicular Domain
  • 2008
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The complexity of software and electronics in vehicular systems has increased significantly over last few years - up to the point when it is difficult to manage it with existing development methods. In this paper we aim at using components for managing the complexity in vehicular systems. Compared to other approaches, the distinguishing feature of our work is using and benefiting from components throughout the whole development process (from early design to development and deployment). Based on the elaboration of the specifics of vehicular systems (resource constraints, real-time requirements, hard demands on reliability), the paper identifies concerns that need to be addressed by a component model for this domain. It also outlines basic features and characteristics of such a component model and discusses how relevant existing formalisms and component models relate to it and how they could be reused within the proposed approach. 
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8.
  • Campeanu, Gabriel, et al. (författare)
  • A GPU-aware Component Model Extension for Heterogeneous Embedded Systems
  • 2015
  • Ingår i: The Tenth International Conference on Software Engineering Advances ICSEA 2015. - 9781612084381
  • Konferensbidrag (refereegranskat)abstract
    • One way for modern embedded systems to tackle the demand for more complex functionality requiring more computational power is to take advantage of heterogeneous hardware. These hardware platforms are constructed from the combination of different processing units including both traditional CPUs and for example Graphical Processing Units (GPUs). However, there is a lack of efficient approaches supporting software development for such systems. In particular, modern software development approaches, such as component-based development, do not provide sufficient support for heterogeneous hardware platforms. This paper presents a component model extension, which defines specific features for components with GPU capabilities. The benefits of the proposed solution include an increased system performance by accelerating the communication between GPU-aware components and the possibility to control the distribution of GPU computation resources at system level.
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9.
  • Campeanu, Gabriel, et al. (författare)
  • Allocation Optimization for Component-based Embedded Systems with GPUs
  • 2018
  • Ingår i: 44th Euromicro Conference on Software Engineering and Advanced Applications SEAA 2018. - 9781538673829 ; , s. 101-110
  • Konferensbidrag (refereegranskat)abstract
    • Platforms equipped with GPU processors help mitigating the ever-increasing computational demands of modern embedded systems. Such systems can be specifically developed by using component-based development thanks to the concept of flexible components. Through this concept, a component can be transparently executed either on a CPU or a GPU. However, this flexibility complicates the allocation process because it adds additional complexity (i.e., due to the undecided CPU or GPU execution) and constraints to consider (i.e., CPUs and GPUs properties). In this work, we address this problem by providing an optimization model for component-based embedded systems executing on both CPU and GPU. The model addresses important optimization goals, characteristic to the embedded system domain, such as memory usage, energy usage and execution time. A novelty of this work is the formal description of the optimization model, which supports the usage of mixed integer nonlinear programming to compute optimal allocation schemes. To examine the feasibility of the proposed method, we apply the optimization model on a vision system constructed using the industrial Rubus component model.
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10.
  • Campeanu, Gabriel, et al. (författare)
  • Component Allocation Optimization for Heterogeneous CPU-GPU Embedded Systems
  • 2014
  • Ingår i: The 40th Euromicro Conference on Software Engineering and Advanced Applications SEAA 2014, Verona, 27-29 Aug. 2014. - 9781479957941 ; , s. 229-236
  • Konferensbidrag (refereegranskat)abstract
    • In a quest to improve system performance, embedded systems are today increasingly relying on heterogeneous platforms that combine different types of processing units such as CPUs, GPUs and FPGAs. However, having better hardware capability alone does not guarantee higher performance; how functionality is allocated onto the appropriate processing units strongly impacts the system performance as well. Yet, with this increase in hardware complexity, finding suitable allocation schemes is becoming a challenge as many new constraints and requirements must now be taken into consideration. In this paper, we present a formal model for allocation optimization of embedded systems which contains a mix of CPU and GPU processing nodes. The allocation takes into consideration the software and hardware architectures, the system requirements and criteria upon which the allocation should be optimized. In its current version, optimized allocation schemes are generated through an integer programming technique to balance the system resource utilization and to optimize the system performance using the GPU resources.
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