| 1. |
- Binotto, A.P.D., et al.
(author)
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Real-time task reconfiguration support applied to an UAV-based surveillance system
- 2008
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In: 2008 International Multiconference on Computer Science and Information Technology (Imcsit). - Piscataway, N.J. : IEEE Press. - 9788360810149 ; , s. 581-588
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Conference paper (peer-reviewed)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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| 2. |
- Binotto, Alécio Pedro Delazari, et al.
(author)
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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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In: Elsevier IFAC Publications / IFAC Proceedings series. - Frankfurt : Elsevier. - 1474-6670. ; 13:PART 1, s. 1423-1428
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Journal article (peer-reviewed)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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| 3. |
- Camelo, Guilherme Antonio, et al.
(author)
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Control of Smart Environments Using Brain Computer Interface Based on Genetic Algorithm
- 2016
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In: Lecture Notes in Computer Science. - Berlin/Heidelberg : Springer Berlin/Heidelberg. - 0302-9743 .- 1611-3349. ; 9622, s. 773-781
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Journal article (peer-reviewed)abstract
- This work deals with the development of an interface to control a smart conference room using passive BCI (Brain Computer Interface). It compares a genetic algorithm developed in a previous project to control the smart conference room with a random control algorithm. The system controls features of the conference room such as air conditioner, lightning systems, electric shutters, entertainment devices, etc. The parameters of the algorithm are extracted from users biosignal using Emotiv Epoc Headset while the user performs an attention test. The tests indicate that the decisions made by the genetic algorithm lead to better results, but in a single execution cannot be considered an effective optimization algorithm. © Springer-Verlag Berlin Heidelberg 2016.
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| 4. |
- de Freitas, Edison Pignaton, et al.
(author)
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An agent framework to support sensor networks’ setup and adaptation
- 2009
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In: International Multiconference on Computer Science and Information Technology, 2009. IMCSIT ’09. - Piscataway, N.J. : IEEE Press. ; , s. 619-626
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Conference paper (peer-reviewed)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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| 5. |
- de Freitas, Edison Pignaton, et al.
(author)
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Analyzing different levels of geographic context awareness in agent ferrying over VANETs
- 2011
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In: Proceedings of the 2011 ACM Symposium on Applied Computing. - New York : ACM Press. - 9781450301138 ; , s. 413-418
-
Conference paper (peer-reviewed)abstract
- The use of mobile software agents is a promising approach to implement services over ad hoc networks. This paper presents an analysis of mobile autonomous agents with different degrees of intelligence that allow them to make usage of the positioning information of vehicle carried sensor nodes with different depth of complexity, considering the nodes’ current and future locations. The agents’ intelligence is used to decide their movement during opportunistic connections among the nodes in order to accomplish missions. In this work, the analysis is done over an application of “virtual sensors”, implemented by services provided by the mobile agents. These agents run on top of an infrastructure-less Vehicular Ad hoc Network (VANET). Simulation results are presented and discussed to support the proposed ideas.
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| 6. |
- de Freitas, Edison Pignaton, et al.
(author)
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Decentralized task distribution among cooperative UAVs in surveillance systems applications
- 2010
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In: 2010 Seventh International Conference on Wireless On-demand Network Systems and Services. - New York : IEEE Press. - 9781424460595 ; , s. 121-128
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Conference paper (peer-reviewed)abstract
- Teams of small Unmanned Aerial Vehicles (UAVs) are being largely proposed to be used in different areas for both military and civilian applications. Their integration in wider sensor networks is also being considered in order to provide a better cost-benefit ration. However, coordination among UAV teams is not a trivial problem in an ad hoc network. This paper presents a decentralized coordination strategy to orient the actions of a team of UAVs, which take part in a wider sensor network, relying on ad hoc network communication. The proposed sensors network inclused static sensors that issue alarms indicating the presence of possible targets that must be handled by one of the UAVs and possibly relay messages among them. Preliminary results of the proposed approach are presented and are contrasted with results provided by a centralized solution for the problem.
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| 7. |
- de Freitas, Edison Pignaton, et al.
(author)
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Dynamic activity and task allocation supporting uav teams in surveillance systems
- 2009
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In: 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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Conference paper (peer-reviewed)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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| 8. |
- de Freitas, Edison Pignaton, et al.
(author)
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Enhanced Wireless Sensor Network Setup Strategy Supported by Intelligent Software Agents
- 2010
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In: Sensors 2010 Hawaii. - Piscataway, N.J. : IEEE Press. - 9781424481682 ; , s. 813-816
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Conference paper (peer-reviewed)abstract
- A well know problem in the Wireless Sensor Network (WSN) research area is the usage of appropriate strategies to setup the sensor nodes such that they may accomplish sensing missions. This problem refers to the selection of appropriate nodes to perform the different tasks required to the missions' accomplishment and may be thus characterized as an instance of the task and resource allocation problem. Traditional approaches consider pre-planned strategies, which are not flexible to deal with changes in the network and environment operating conditions. This paper presents an enhanced agent-oriented strategy, which consists of a usage of mobile intelligent agents to disseminate missions and nodes' information over the network, as well as stationary software agents installed in the sensor nodes to provide advanced reasoning apparatus for decision making purposes. The proposed enhancement complements the original agent-based approach with robustness features required to overcome extreme adverse conditions in which an ordinary WSN presents poor results. Results from simulations provide evidences of the efficiency of the complete enhanced approach.
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| 9. |
- de Freitas, Edison Pignaton, 1979-, et al.
(author)
-
Evaluation of coordination strategies for heterogeneous sensor networks aiming at surveillance applications
- 2009
-
In: Sensors 2009 New Zealand. - Piscataway, N.J. : IEEE Press. - 9781424445486 - 9781424453351 ; , s. 591-596
-
Conference paper (peer-reviewed)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, et al.
(author)
-
Experimental Analysis of Coordination Strategies to Support Wireless Sensor Networks Composed by Static Ground Sensors and UAV-Carried Sensors
- 2010
-
In: International Symposium on Parallel and Distributed Processing with Applications, ISPA 2010. - New York : IEEE Press. - 9780769541907 ; , s. 152-161
-
Conference paper (peer-reviewed)abstract
- This paper presents a comparison among different strategies to coordinate the use of heterogeneous wireless sensors aimed for area surveillance. The heterogeneity among the sensor nodes is related to their sensing and mobility capabilities. The goal of the strategies is to provide coordination among the different nodes, in order to make the wireless sensor network perform its missions with higher efficiency. Strategies combine advantages of bio-inspired and utility-based approaches to coordination. Simulations of scenarios with different characteristics were performed and the results are compared and analyzed.
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