| 1. |
- Bilstrup, Katrin, et al.
(författare)
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Report on the Collaboration between CVIS and CERES in the Project Vehicle Alert System (VAS)
- 2009
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In March 2007, an agreement was made for interchange of experiences between CVIS and the Centre for Research on Embedded Systems (CERES) at Halmstad University in Sweden. The majority of the work relating to this collaboration has been conducted within the CERES project Vehicle Alert System (VAS), aiming to use vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications to provide different types of warning messages. The main focus of the VAS project is on communication and in particular the lower layers of the communication stack are investigated. VAS involves academic researchers from Halmstad University as well as researchers from Volvo Technology, SP Technical Research Institute of Sweden and the company Free2move. This report presents the results of the VAS project, its publications, and other issues of interest both to the CVIS consortium as well as a broader scope.
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| 2. |
- Bilstrup, Katrin, et al.
(författare)
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Vehicle Alert System
- 2007
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Ingår i: Proceedings of 14th world congress on intelligent transport system (ITS). ; , s. 2-9
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Konferensbidrag (refereegranskat)abstract
- The Vehicle Alert System (VAS) project focuses on cooperative alert services based on timely and reliable communication under the challenging circumstances pertaining to a highly mobile vehicular network. Through a cross-layer design, we gain the flexibility needed to adapt the system to the individual requirements of three chosen application scenarios that represent different situations where cooperation between vehicles can make a significant impact. The VAS project is a collaboration involving academic as well as industrial partners and the final stage of the project is a demonstrator that implements results from the research.
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| 3. |
- Binotto, Alécio P. D., et al.
(författare)
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Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform
- 2008
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Ingår i: Proceedings of the 2008 International Conference on Reconfigurable Computing and FPGAs. - Los Alamitos, Calif. : IEEE Computer Society. - 9780769534749 ; , s. 253-258
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Konferensbidrag (refereegranskat)abstract
- Modern applications require powerful high-performance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low-cost and high-performance specific hardware (e.g., GPU, PPU) are rising and the CPUs turned to multiple cores, characterizing together an interesting and powerful heterogeneous execution platform. Therefore, self-adaptive computing is a potential paradigm for those scenarios as it can provide flexibility to explore the computational resources on heterogeneous cluster attached to a high-performance computer system platform. As the first step towards a run-time reschedule load-balancing framework targeting that kind of platform, application time requirements and its crosscutting behavior play an important role for task allocation decisions. This paper presents a strategy for self-reallocation of specific tasks, including dynamic created ones, using aspect-oriented paradigms to address non-functional application timing constraints in the design phase. Additionally, as a case study, a special attention on Radar Image Processing will be given in the context of a surveillance system based on Unmanned Aerial Vehicles (UAV).
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| 4. |
- Binotto, A.P.D., et al.
(författare)
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Real-time task reconfiguration support applied to an UAV-based surveillance system
- 2008
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Ingår i: 2008 International Multiconference on Computer Science and Information Technology (Imcsit). - Piscataway, N.J. : IEEE Press. - 9788360810149 ; , s. 581-588
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Konferensbidrag (refereegranskat)abstract
- Modern surveillance systems, such as those based on the use of Unmanned Aerial Vehicles, require powerful high- performance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low- cost and high-performance specific hardware (e.g., GPU, PPU) are rising and the CPUs turned to multiple cores, characteriz- ing together an interesting and powerful heterogeneous execu- tion platform. Therefore, reconfigurable computing is a poten- tial paradigm for those scenarios as it can provide flexibility to explore the computational resources on heterogeneous cluster attached to a high-performance computer system platform. As the first step towards a run-time reconfigurable workload bal- ancing framework targeting that kind of platform, application time requirements and its crosscutting behavior play an impor- tant role for task allocation decisions. This paper presents a strategy to reallocate specific tasks in a surveillance system composed by a fleet of Unmanned Aerial Vehicles using aspect- oriented paradigms in order to address non-functional applica- tion timing constraints in the design phase. An aspect support from a framework called DERAF is used to support reconfigu- ration requirements and provide the resource information needed by the reconfigurable load-balancing strategy. Finally, for the case study, a special attention on Radar Image Process- ing will be given.
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| 5. |
- Binotto, Alécio Pedro Delazari, et al.
(författare)
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Towards Dynamic Task Scheduling and Reconfiguration using an Aspect Oriented Approach applied on Real-time concerns of Industrial Systems
- 2009
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Ingår i: Elsevier IFAC Publications / IFAC Proceedings series. - Frankfurt : Elsevier. - 1474-6670. ; 13:PART 1, s. 1423-1428
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Tidskriftsartikel (refereegranskat)abstract
- High performance computational platforms are required by industries that make use of automatic methods to manage modern machines, which are mostly controlled by high-performance specific hardware with processing capabilities. It usually works together with CPUs, forming a powerful execution platform. On an industrial production line, distinct tasks can be assigned to be processed by different machines depending on certain conditions and production parameters. However, these conditions can change at run-time influenced mainly by machine failure and maintenance, priorities changes, and possible new better task distribution. Therefore, self-adaptive computing is a potential paradigm as it can provide flexibility to explore the machine resources and improve performance on different execution scenarios of the production line. One approach is to explore scheduling and run-time task migration among machines’ hardware towards a balancing of tasks, aiming performance and production gain. This way, the monitoring of time requirements and its crosscutting behaviour play an important role for task (re)allocation decisions. This paper introduces the use of software aspect-oriented paradigms to perform machines’ monitoring and a self-rescheduling strategy of tasks to address nonfunctional timing constraints. As case study, tasks for a production line of aluminium ingots are designed. © 2009 IFAC.
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| 6. |
- Binotto, Alécio P. D., et al.
(författare)
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Towards task dynamic reconfiguration over asymmetric computing platforms for UAVs surveillance systems
- 2009
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Ingår i: Scalable computing. - Timisoara : Universitatea de Vest din Timisoara / West University of Timisoara. - 1895-1767. ; 10:3, s. 277-289
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Tidskriftsartikel (refereegranskat)abstract
- High-performance platforms are required by modern applications that make use of massive calculations. Actually, low-cost and high-performance specific hardware (e.g. GPU) can be a good alternative along with CPUs, which turned to multiple cores, forming powerful heterogeneous desktop execution platforms. Therefore, self-adaptive computing is a promising paradigm as it can provide flexibility to explore different computing resources, on which heterogeneous cluster can be created to improve performance on different execution scenarios. One approach is to explore run-time tasks migration among node's hardware towards an optimal system load-balancing aiming at performance gains. This way, time requirements and its crosscutting behavior play an important role for task (re)allocation decisions. This paper presents a self-rescheduling task strategy that makes use of aspect-oriented paradigms to address non-functional application timing constraints from earlier design phases. A case study exploring Radar Image Processing tasks is presented to demonstrate the proposed approach. Simulations results for this case study are provided in the context of a surveillance system based on Unmanned Aerial Vehicles (UAVs). © 2009 SCPE.
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| 7. |
- de Freitas, Edison Pignaton, et al.
(författare)
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An agent framework to support sensor networks’ setup and adaptation
- 2009
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Ingår i: International Multiconference on Computer Science and Information Technology, 2009. IMCSIT ’09. - Piscataway, N.J. : IEEE Press. ; , s. 619-626
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Konferensbidrag (refereegranskat)abstract
- Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users' requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented.
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| 8. |
- de Freitas, Edison Pignaton, et al.
(författare)
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Dynamic activity and task allocation supporting uav teams in surveillance systems
- 2009
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Ingår i: Proceedings of the International Multiconference on Computer Science and Information Technology, 2009. IMCSIT '09. - Piscataway, N.J. : IEEE Press. - 9781424453146 ; , s. 51-58
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Konferensbidrag (refereegranskat)abstract
- The use of Unmanned Aerial Vehicles is increasing in the field of area patrolling and surveil- lance. A great issue that emerge in designing such systems is the target workload distribution over a fleet of UAVs, which generally have different capabilities of sensing and computing power. Targets should be assigned to the most suitable UAVs in order to efficiently perform the end-user initiated missions. To perform these missions, the UAVs require powerful high-performance platforms to deal with many dif- ferent algorithms that make use of massive calculations. The use of COTS hardware (e.g., GPU) presents an interesting low-cost alternative to compose the required platform. However, in order to efficiently use these heterogeneous platforms in a dynamic scenario, such as in surveillance systems, runtime reconfigu- ration strategies must be provided. This paper presents a dynamic approach to distribute the handling of targets among the UAVs and a heuristic method to address the efficient use of the heterogeneous hard- ware that equips these UAVs, with the goal to meet also mission timing requirements. Preliminary simu- lation results of the proposed heuristics are also provided.
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| 9. |
- de Freitas, Edison Pignaton, 1979-, et al.
(författare)
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Evaluation of coordination strategies for heterogeneous sensor networks aiming at surveillance applications
- 2009
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Ingår i: Sensors 2009 New Zealand. - Piscataway, N.J. : IEEE Press. - 9781424445486 - 9781424453351 ; , s. 591-596
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Konferensbidrag (refereegranskat)abstract
- A new challenge in the sensor network area is the coordination of heterogeneous sensors (with different sensing, mobility and computing capabilities) in an integrated network. This kind of sensor networks have clearly high relevance in surveillance systems, in which both low-end static ground sensor nodes and more sophisticated sensors carried by mobile platforms, such as Unmanned Aerial Vehicles (UAVs), cooperate. This paper provides an analysis of two different strategies to guide the collaboration among the sensor nodes mentioned above, applied to area surveillance systems. The first analyzed problem is related to the choice of the UAV instance that will respond to a given alarm issued by a ground sensor node. The second issue is the estimation of the response time until any UAV can be engaged in handling an alarm and effectively handles it. Two strategies are introduced and compared: one based on a pheromone inspired approach and another based on utility functions inspired on risk profiles that models decisions of investors in the stock market. ©2009 IEEE.
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| 10. |
- de Freitas, Edison Pignaton, 1979-, et al.
(författare)
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Middleware Support in Unmanned Aerial Vehicles and Wireless Sensor Networks for Surveillance Applications
- 2009
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Ingår i: Intelligent Distributed Computing III. - Berlin/Heidelberg : Springer Berlin/Heidelberg. - 9783642032134 ; , s. 289-296
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Konferensbidrag (refereegranskat)abstract
- This paper presents the architecture of a middleware that provides an intelligent interoperability support to allow the integration and cooperation among Wireless Sensor Network (WSN) nodes and small Unmanned Aerial Vehicles (UAVs) implementing a surveillance system. The motivation for this study is that the cooperation among distinct types of sensor nodes to achieve common goals can notably enhance the results obtained in surveillance operations. A discussion around the requirements of such systems is also presented, supporting the design decisions and the choice of the techniques employed to develop the middleware. Finally, preliminary results are presented.
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