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检索条件"任意字段=12th International Conference on Embedded and Real-Time Computing Systems and Applications"

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A Simulation Framework for Fault-Tolerant Clock Synchronization in Industrial Automation Networks

A Simulation Framework for Fault-Tolerant Clock Synchronizat...

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12th IEEE international conference on Emerging Technologies and Factory Automation (ETFA 2007), vol.3

作者： Fritz Praus Wolfgang Granzer Georg Gaderer thilo Sauter Research Unit for Integrated Sensors Systems Austrian Academy of Sciences Wien Austria

Many applications such as distributed measurements or real-time networks benefit from a common notion of time. Protocols providing high precision and simple clock synchronization are necessary to achieve such a common time base. However, most of the available protocols are lacking with regard to fault tolerance and performance in case of a fault. the project IMAGINE (Introduction of Master Group Based Industrial Ethernet) overcomes these limitations by introducing a fault-tolerant IEEE 1588 master group. A proof of concept for a large-or even medium- scale network is, however, very difficult to obtain under laboratory conditions. therefore, a simulation framework has been developed, which is presented in this paper.

关键词： Fault tolerance Clocks Synchronization Automation Computational modeling Protocols Performance analysis Large-scale systems Laboratories Robustness

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real-time Anomaly Detection Using Distributed Tracing in Microservice Cloud applications

Real-Time Anomaly Detection Using Distributed Tracing in Mic...

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IEEE international conference on Cloud Networking (CLOUDNET)

作者： Mahsa Raeiszadeh Amin Ebrahimzadeh Ahsan Saleem Roch H. Glitho Johan Eker Raquel A. F. Mini CIISE Concordia University Montréal Canada Computer Science Programme University of Western Cape Capetown South Africa Ericsson Research Lund Sweden

Distributed tracing plays a vital role in microservice infrastructure, and learning-based trace analysis has been utilized to detect anomalies within such systems. However, existing approaches for learning-based trace-based anomaly detection face certain limitations. Some assume that trace patterns can be learned solely from normal executions, while others depend on anomaly injection to generate labeled traces categorized as normal or anomalous. However, in practical scenarios, anomalies may also happen during the normal execution. Moreover, a wide variety of anomalies may occur in practice, which cannot be captured solely through anomaly injection. To address these issues, we propose a Trace-Driven Anomaly Detection (TDAD) approach based on a Span Causal Graph (SCG) representation, which trains a model using a Graph Neural Network (GNN) and Positive and Unlabeled (PU) learning. this technique allows the model parameters to be optimized by estimating the underlying data distribution. As a result, TDAD can be effectively trained using a small number of labeled anomalous traces along with a relatively large number of unlabeled traces. Our evaluation reveals that TDAD outperforms not only the existing unsupervised trace-based anomaly detection methods by 11.9% in terms of F 1 -score but also a supervised learning-based benchmark by 12x in terms of detection time.

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A real-time search-based motion planning framework with risk assessment for urban environments

A real-time search-based motion planning framework with risk...

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international conference on Robotics and Automation Engineering (ICRAE)

作者： Kailin Tong Control Systems Group (Dept.-E) Virtual Vehicle Research GmbH Graz Austria

A reliable autonomous driving system should be capable of handling driving tasks in real-time while ensuring user safety. However, many search-based planners suffer from high computation time, which makes them unsuitable for embedded applications. Some simple methods, like Roll-out from OpenPlan-ner, achieve high computation efficiency, but lack robustness and might be unsafe in certain conditions. To solve this problem we proposed an efficient search-based motion planning framework incorporating risk evaluation. Firstly, based on necessary inputs from perception, map, and global planning stack, a 3D grid map is generated to capture environmental semantics for our extended hybrid A* search algorithm. We proposed a heuristic function consisting of risk evaluation, which not only reduces A* search time but also plans a safer trajectory. A two-step optimization process refines the results from the hybrid A* search into a smooth and continuous trajectory. Our proposed framework was tested using realistic simulation scenarios within the open-source Autoware autonomous driving stack, showing superior responses and more robustness than the baseline OpenPlanner. Additionally, the proposed hybrid A* search framework shows high computation efficiency. It has a worst-case run-time of 55 ms for a 12-second planning horizon and a planning horizon of 200 meters, allowing for real-time application.

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Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment 1

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17th international conference on Bio-Inspired computing: theories and applications, BIC-TA 2022

作者： Liu, Kaibo Zheng, Wangli Min, Huasong Lin, Yunhan School of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Hubei Wuhan430065 China State Grid Electric Power Research Institute Jiangsu Nanjing211106 China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Hubei Wuhan430081 China

ISBN: (数字)9789819915491

ISBN: (纸本)9789819915484

In the application scenario of robot autonomous tasks, the robot needs to be able to complete calibration online and automatically to achieve self-maintenance, which differs from traditional robot hand-eye calibration in that the traditional robot hand-eye calibration requires a dedicated calibration board to assist offline completion. Aiming at the problem that the existing self-calibration methods cannot be optimized as a whole, which leads to low accuracy and instability of the solution, a multi-stage objective function optimization self-calibration algorithm is proposed, which describes the solution of hand-eye self-calibration as a minimization objective function problem involving multiple stages. An optimization method based on the minimization of re-projection error is designed to compensate for the results, which uses an efficient Oriented fast and rotated brief (ORB) feature extraction algorithm and introduces a scoring mechanism to retain more correct matching points in the feature matching stage. Two different types of experiments were designed to validate our method. One is a single camera dataset experiment, which shows that our method is more accurate and robust than the existing self-calibration method;the other is an application platform experiment, which verifies the feasibility and availability of our method. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Calibration

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Deep Learning applications in Histopathological Images 12th

Deep Learning Applications in Histopathological Images

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12th international conference on Mobile Communication and Healthcare, MobiHealth 2023

作者： Pereira, Luis Felipe Rocha de Paiva, Anselmo Cardoso Araújo, Alexandre de Carvalho Junior, Geraldo Braz de Almeida, Joao Dallyson Sousa Silva, Aristófanes Corrêa Universidade Federal do Maranhão UFMA Av. dos Portugueses 1966 - Vila Bacanga MA São Luís65080-805 Brazil Núcleo de Computação Aplicada NCA Av. dos Portugueses 1966 - Vila Bacanga MA São Luís65080-805 Brazil Departamento de Informática Deinf Campus Dom Delgado UFMA Av. dos Portugueses 1966 - Vila Bacanga MA São Luís65080-805 Brazil

ISBN: (纸本)9783031606649

Breast cancer is a neoplasm that mainly affects women above the age of 45. However, an increase in the incidence of this disease among young women has been observed. Although it is considered a cancer with a good prognosis when diagnosed early, early detection remains a challenge. In Brazil, the mortality rate due to breast cancer remains high, which is directly related to the late diagnosis of the disease. To contribute to the reduction of this rate, the development of effective early detection techniques is essential. these techniques can assist in diagnosing the disease at its initial stages, enabling quicker treatment and thereby increasing the chances of a cure. Computer-aided detection and diagnosis systems have been developed and improved in the field of computing. these systems base their accuracy and reasoning on data obtained through a combination of computer vision techniques, such as pattern recognition and machine learning. When applied, these techniques assist doctors and specialists in data analysis to provide diagnostic support and treatment planning. this significantly enhances a patient’s chances of recovery. More recently, within the machine learning field, Deep Learning has become a prevalent focus of research due to its ability to automatically extract relevant features for the target task. In this work, the methodology proposed employs Convolutional Neural Networks for machine learning. While the results obtained are not superior to those in the literature, they are close and generally require fewer computational resources for training the selected networks after the selection process. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Diseases

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Resource management for enhancing predictability in systems with limited processing capabilities

Resource management for enhancing predictability in systems ...

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international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Alejandro Alonso Emilio Salazar Jorge López Dept. Ingeniería de Sistemas Telemáticos Universidad Politécnica de Madrid Spain Dept. Arquitectura y Tecnología de Sistemas Informáticos Universidad Politécnica de Madrid Spain

there is an increasing demand for computing systems composed by heterogeneous computers, connected by different types of networks, and that allow for accessing a wide range of services in a seamless way. Some of those computers are mobile or embedded and have limited resources, and can be overloaded when trying to handle their users demands. then it is not possible to ensure a proper behaviour of the running applications. this can be an important problem when dealing with critical events in healthcare, home surveillance, or forest monitoring. Resource reservation is a valid basis for handling this issue. It allows for guaranteeing a certain resource share for applications that are important for the proper behavior of a given system. this paper describes an implementation of a resource management component and its integration in the Linux kernel. this piece of software has allowed to assign CPU budgets to standard Java threads, which is an important facility, given the widespread of this programming language. this implementation has been validated on service oriented middleware, where relevant services are executed by thread with guaranteed budget, to improve its predictability.

关键词： Linux real time systems Kernel Java Instruction sets Resource management Safety

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Tracking real time Vehicle And Locking System Using Labview applications

Tracking Real Time Vehicle And Locking System Using Labview ...

引用

international conference on Advanced computing and Communication systems (ICACCS)

作者： Ganesh Prabhu S. S. Shalini Agnes Shiny Rachel A.R. Roshinee Sri Krishna College of Technology Coimbatore India

ISBN: (数字)9781728151977

ISBN: (纸本)9781728151984

the proposed project aims to develop a portable embedded system to avoid burglary on vehicles. the complete prototype is designed on a single chip which is very simple and cost effective. Our proposed prototype compressed of a 32-bit microcontroller, SIM900A GPS/GSM Module, sensors and transducers. the prototype is fixed inside the engine part of transport with proper shielding. A android based mobile application is developed in order to track the movement of vehicles even though the key ignition were ON/OFF state. During burglary of vehicles, the owner can deactivate engine vehicles ignition then consecutively owner can lock the gear panel, ABS brakes can also be locked if necessary. Later with the usage of SIM900A GPS/GSM module, current latitude and longitude value are fetched and the same locations are transferred via SMS (Short Message Service) to the owners mobile. the complete prototype is designed on a single chip which is very simple and cost effective.

关键词： Prototypes Microcontrollers Global Positioning System Engines Message service Androids Humanoid robots

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Device driver synthesis for embedded systems

Device driver synthesis for embedded systems

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international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Julien Tanguy Jean-Luc Béchennec Mikaël Briday Sébastien Dubé Olivier H. Roux Espace Performance La Fleuriaye See4sys Carquefou France IRCCyN Lab École Centrale de Nantes LUNAM université Nantes France

Currently the development of embedded software managing hardware devices that fulfills industrial constraints (safety, real time constraints) is a very complex task. To allow an increased reusability between projects, generic device drivers have been developed in order to be used in a wide range of applications. Usually the level of gener-icity of such drivers require a lot of configuration code, which is often generated. However, a generic driver requires a lot of configuration and need more computing power and more memory needs than a specific driver. this paper presents a more efficient methodology to solve this issue based on a formal modeling of the device and the application. Starting from this modeling, we use well-known game theory techniques to solve the driver model synthesis problem. the resulting model is then translated into the actual driver embedded code with respect to an implementation model. By isolating the model of the device, we allow more reusability and interoperability between devices for a given application, while generating an application-specific driver.

关键词： Computational modeling Registers Games Semantics Hardware Safety Synchronization

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High level area estimation of custom instructions for FPGA-based reconfigurable processors

High level area estimation of custom instructions for FPGA-b...

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international conference on Information, Communications and Signal Processing

作者： Siew-Kei Lam Wen Li thambipillai Srikanthan Centre for High Performance Embedded Systems Nanyang Technological University Singapore School of Software Peking University China

ISBN: (纸本)9781424409822

Reconfigurable processors provide an attractive means to meet the constraints of embedded devices due to their instruction set extension capabilities. We propose a novel technique to estimate the area utilization of LUT (Look-Up Table) based FPGAs (Field Programmable Gate Arrays) for custom instruction realizations. the technique contributes to rapid design exploration by computing the hardware area utilization of custom instructions without actual hardware synthesis. the proposed area estimation technique is achieved in two stages. In the first stage, a set of partitions are obtained from the custom instruction data-paths based on some rule-sets that satisfy the FPGA constraints. Each partition represents a unique LUT configuration that can be implemented on a FPGA logic element. In the second stage, the partitions are combined to maximize the area efficiency on FPGA. We show that the proposed technique can overcome the limitation of existing datapath merging methods that are based on maximizing resource sharing. Experimental results show that an average of 12 unique LUT configurations (about 22% of the logic elements in the smallest Xilinx Virtex FPGA) can sufficiently cater to seven applications from the MiBench benchmark suite.

关键词： Field programmable gate arrays Table lookup Hardware embedded system Merging System-on-a-chip Resource management Application software Reconfigurable logic time to market

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Trends and trade-offs in designing highly robust throughput on chip communication network

Trends and trade-offs in designing highly robust throughput ...

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IEEE Symposium on On-Line Testing (IOLTS)

作者： M. Coppola Marcello Coppola Grenoble France

Summary form only given. Moore's law predicts that soon it will be possible to integrate billions of transistors on a single chip. Currently on-chip communication for multiprocessor system-on-chip (MPSoC) is realized using buses such as AMBA, STbus, and IBM's Core-connect. On-chip buses are not fundamentally different than computer buses, except that they are designed and optimized to operate entirely within a single chip meaning that wider buses are possible, and there is no constraint to the number of pins. these buses typically include a number of address and data wires, bi-directional signaling for management, and a complex arbitration policy. Since wire delay becomes more critical than computation delay, bus implementations for future SoC will be increasingly hard. For example, placement and routing for on-chip buses is extremely complex due to the large number of wires. thus, a SoC bus may occupy an area comparable to a processing element. Current electronic design methodology is not able to handle the escalating design complexity and decreased time-to-market requirements for embedded applications in MPSoC, due to extensive hardware/software partitioning and design space exploration. Network-on-chip simplifies the overall MPSoC design and provides services to various computing resources, such as general and specialized processing elements, storage devices, reconfigurable FPGAs, or application-specific IP blocks, through a standard, structured, functionally correct, robust, scalable, and efficient intra-chip communication and synchronization infrastructure. In this talk we explain why scalable on-chip communication networks, such as networks-on-chip (NoC) are today not only attractive for system on chip design but they possess some features for designing robust systems

关键词： Robustness throughput Network-on-a-chip Communication networks System-on-a-chip Wires Delay Moore's Law Multiprocessing systems Data buses

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