2012 Second Brazilian Conference on Critical Embedded Systems最新文献_第2页

RAHMoN: Routing Algorithm for Heterogeneous Mobile Networks 异构移动网络的路由算法

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.19

M. A. Vilela, R. B. Araujo

引用次数: 15

An RTOS Methodology for NoC Based Systems' Support -- The HellfireOS Case Study 基于NoC的系统支持的RTOS方法——HellfireOS案例研究

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.24

S. J. Filho, A. Aguiar, F. Magalhães, Oliver B. Longhi, Fabiano Hessel

{"title":"An RTOS Methodology for NoC Based Systems' Support -- The HellfireOS Case Study","authors":"S. J. Filho, A. Aguiar, F. Magalhães, Oliver B. Longhi, Fabiano Hessel","doi":"10.1109/CBSEC.2012.24","DOIUrl":"https://doi.org/10.1109/CBSEC.2012.24","url":null,"abstract":"Modern multi-processor systems-on-a-chip currently count on computational resources previously only seen on general purpose machines. Each more, the evolution on the manufacturing process allows more features to be included on these embedded systems and determine an increased complexity of their hardware and software design. This increase of design complexity requires tools that may reduce the time spent on the development process of several parts that compose these systems. In the final design stages, the application and its properties are represented by tasks and processors managed by an operating system, so a well defined API can be used by developers to explore MPSoC's computational resources in a fast manner. This work presents a case study of applications running on top of Hellfire OS, and how real-time properties are modeled on the operating system. Different scenarios are presented on the results, involving RTOS performance for common system calls, message passing performance for communicating tasks a dynamic reconfiguration of real-time task sets using load balancing techniques.","PeriodicalId":435485,"journal":{"name":"2012 Second Brazilian Conference on Critical Embedded Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Autonomous Self-Localization of Mobile Robots through Reference Point Based Computer Vision 基于参考点计算机视觉的移动机器人自主自定位

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.12

L. N. Couto, F. Osório

引用次数: 2

Wind Velocity Neural Estimator for Small Autonomous Surface Vehicles 小型自主地面车辆的风速神经网络估计

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.16

J. R. Monteiro, M. Suetake, G. T. Paula, T. E. P. Almeida, M. P. Santana, G. B. Romero, J. C. Faracco, F. J. Monaco, R. S. Pinto

{"title":"Wind Velocity Neural Estimator for Small Autonomous Surface Vehicles","authors":"J. R. Monteiro, M. Suetake, G. T. Paula, T. E. P. Almeida, M. P. Santana, G. B. Romero, J. C. Faracco, F. J. Monaco, R. S. Pinto","doi":"10.1109/CBSEC.2012.16","DOIUrl":"https://doi.org/10.1109/CBSEC.2012.16","url":null,"abstract":"Surface aquatic vehicles present a complex dynamic behavior since they operate between two different fluids, air and water, each one with a different density and viscosity. Wind and surface currents affect vehicle motion in different manners. This paper shows the development of an estimator based on an artificial neural network which is used for wind velocity estimation in autonomous surface vehicles, intended to operate in protected waters, i.e. with no water surface currents. An aquatic vehicle motion model considering surge, sway and yaw motions in the boat dynamics, as well as wind speed and direction effects on its position, is presented here. Considering the wind disturbances, an artificial neural network is used to identify wind absolute speed and direction, so the actual vehicle should not need to carry wind speed and direction sensors aboard, only a GPS and an electronic compass, as planned. A Perceptron neural network was used in order to quantify wind speed and direction based only on boat displacements and its internal operational parameters as motor thrust and rudder angle. Those conditions were compared to a reference model in order to achieve a proper network training. The network showed good results for steady-state boat operation and also satisfactory results for transient responses.","PeriodicalId":435485,"journal":{"name":"2012 Second Brazilian Conference on Critical Embedded Systems","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126993256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Multi-agent Autonomous Patrolling System Using ANN and FSM Control 基于神经网络和FSM控制的多智能体自主巡逻系统

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.14

D. Sales, Daniel Feitosa, F. Osório, D. Wolf

{"title":"Multi-agent Autonomous Patrolling System Using ANN and FSM Control","authors":"D. Sales, Daniel Feitosa, F. Osório, D. Wolf","doi":"10.1109/CBSEC.2012.14","DOIUrl":"https://doi.org/10.1109/CBSEC.2012.14","url":null,"abstract":"The multi-agent patrolling problem has recently received growing attention from the community due to the wide range of potential applications. This work presents an autonomous patrolling system composed by 4 intelligent robots that can freely move through an indoor environment and detect intruders. The robots use a localization/navigation system composed of an artificial neural network (ANN) trained to detect key features of the environment. These features are used to identify context changes, being used as input of a finite state machine (FSM), allowing a topological map localization and navigation of the robot in the environment. When an intruder is detected, a broadcast message with its position is sent, making all other robots execute a multi-agent version of a coordinated A* algorithm in order to determine the best path to reach that position and to surround the target. Then, the robots autonomously navigate through this defined path until reach the goal. Experiments were performed in the player/stage environment in order to evaluate the multi-agent system. The localization/navigation system with intruder detection was evaluated in the real world with a Pioneer P3-AT mobile robot.","PeriodicalId":435485,"journal":{"name":"2012 Second Brazilian Conference on Critical Embedded Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128828394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A Process for Engineering DSLs from Mobile Robot Applications 移动机器人应用的工程dsl过程

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.10

D. B. F. Conrado, V. V. de Camargo

引用次数: 0

Intelligent Robotic Car for Autonomous Navigation: Platform and System Architecture 面向自主导航的智能机器人汽车:平台与系统架构

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.26

L. C. Fernandes, J. Souza, P. Shinzato, G. Pessin, C. Mendes, F. Osório, D. Wolf

引用次数: 13

Improving the Resilience of UAV in Non-segregated Airspace Using Multiagent Paradigm 基于多智能体的非隔离空域无人机弹性改进研究

2012 Second Brazilian Conference on Critical Embedded Systems Pub Date : 2012-05-20 DOI: 10.1109/CBSEC.2012.21

M. Corrêa, J. Camargo, M. A. Rossi, J. R. Almeida

引用次数: 3