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检索条件"任意字段=13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 2022 条记录，以下是441-450 订阅

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Development of a Modular Multilevel Converter Demonstrator with EtherCAT Communication

Development of a Modular Multilevel Converter Demonstrator w...

引用

Compatibility in Power Electronics (CPE)

作者： Jan-Henrik Fey Frank Hinrichsen Gyde Carstens Regine Mallwitz Faculty of Energy and Biotechnology University of Applied Sciences Flensburg Flensburg Germany Institute for Electrical Machines Traction and Drives Technical University Braunschweig Braunschweig Germany

the Modular Multilevel Converter (MMC) is a proven topology in HVDC, but it is also a suitable solution for medium voltage applications such as wind turbines. To increase the modularity and the scalability of this topology for medium voltage applications, a real-time communication bus between the submodules and the central control unit is implemented as an efficient way of control. this real-time communication is realized using EtherCAT communication. To verify the advantages of this control strategy a 3-kV 350-kVA demonstrator of a medium voltage MMC topology with EtherCAT communication is constructed and set up. the description and the analysis of this demonstrator with focus on the EtherCAT communication are presented in this paper. the communication path, the synchronization and the control including the modulation method are discussed, investigated and validated within this paper.

关键词： Medium voltage Capacitors Topology Synchronization real-time systems Harmonic analysis

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Scalability of GPU-Processed 3D Distance Maps for Industrial Environments 14

Scalability of GPU-Processed 3D Distance Maps for Industrial...

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14th ieee/ASME international conference on Mechatronic and embedded systems and applications (MESA)

作者： Aalerud, Atle Dybedal, Joacim Hovland, Geir Univ Agder Dept Engn Sci Mechatron Grp Kristiansand Norway

ISBN: (纸本)9781538646434

this paper contains a benchmark analysis of the open source library GPU-Voxels together with the Robot Operating System (ROS) in large-scale industrial robotics environment. Six sensor nodes with embedded computing generate real-time point cloud data as ROS topics. the overall data from all sensor nodes is processed by a combination of CPU and GPU on a central ROS node. Experimental results demonstrate that the system is able to handle frame rates of 10 and 20 Hz with voxel sizes of 4, 6, 8 and 12 cm without saturation of the CPU or the GPU used by the GPU-Voxels library. the results in this paper show that ROS, in combination with GPU-Voxels, can be used as a viable solution for real-time 3D collision detection and avoidance applications in relatively large-scale industrial environments.

关键词： Graphics processing units three-dimensional displays Robot sensing systems Central Processing Unit Service robots Benchmark testing"

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Algorithmic Level Approximate computing for Machine Learning Classifiers

Algorithmic Level Approximate Computing for Machine Learning...

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ieee international conference on Electronics, Circuits and systems

作者： Hamoud Younes Ali Ibrahim Mostafa Rizk Maurizio Valle Lebanese International University Bekaa Lebanon Faculty of Sciences Lebanese University Lebanon COSMIC Laboratory Naval Architecture University of Genova Genoa Italy

Efficiency, real-time operation and low-power consumption are the main requirements of embedded Machine Learning implementations. this paper proposes an approach for applying Algorithmic level Approximate computing Techniques (ACTs) on two supervised machine learning algorithms. the proposed approach has been validated in two different applications: touch modality and image classification. Results demonstrate that the proposed approach improves the performance with a speedup up to 3.2× with an accuracy loss of less than 4.7%.

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A Fast and Accurate Edge Detection Algorithm for real-time Deep-Space Autonomous Optical Navigation

A Fast and Accurate Edge Detection Algorithm for Real-Time D...

引用

ieee international conference on Intelligent Data Acquisition and Advanced computing systems

作者： Hao Xiao Yanming Fan Zhang Zhang Xin Cheng School of Microelectronics HeFei University of Technology Hefei China Nanjing University of Aeronautics and Astronautics Nanjing China

this paper presents a fast and accurate edge detection algorithm for real-time autonomous optical navigation used in deep-space missions. the proposed algorithm optimizes the non-maximum suppression (NMS) mechanism and the adaptive threshold selection approach of the conventional Canny algorithm. Instead of computing gradient directions, the proposed NMS approach adopts the vertical and horizontal gradients to determine the diagonal directions of gradient directions. In addition, an optimized noise edge suppression mechanism is presented for getting thinner edges without sacrificing the performance in terms of computation complexity. Furthermore, unlike the conventional double-thresholding method, this paper proposes a single-threshold selection approach, thus reducing the computational complexity and easing the real-time embedded implementation. More importantly, the proposed single-threshold scheme can efficiently suppress the noise edges caused by craters and atmosphere covered on celestial bodies. Experimental results show that, compared with the traditional Canny edge detector, the proposed algorithm enables more accurate celestial body edge detection, while reducing a lot of computation complexity.

关键词： Image edge detection real-time systems Navigation Computational complexity Planets Detectors Atmosphere

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Development of embedded computational tool for simulation of industrial processes 13

Development of embedded computational tool for simulation of...

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13th ieee international conference on Industry applications, INDUSCON 2018

作者： Oliveira, Aline Mara Da Cunha, Marcio Jose Fernandes Junior, Renato Ferreira De Almeida, Marcelo Barros Electrical Engineering Department Federal University of Uberlandia Uberlandia Brazil

ISBN: (纸本)9781538679951

Over recent years the use of simulation has a growing demand for industrial applications. Globalization has increased competitiveness and companies are finding ways to improve the quality of their products, managing better the project implementation time, optimizing resources, among others. In this context, there is a demand for tools that can improve the processes and alternative method to simulate control in a simple and reliable way. Nevertheless, the available tools on the market are still difficult in measuring the impacts caused by problems related to the ways of transmission such as time-varying communication delays, slow and non-periodic updates, among other types of interference that cause difficulty to the performance of industrial controllers in process control. Another difficulty is finding ways to simulate functions of transfer that provide the scenarios analysis proximate to those found in the industry in application process networked control systems. therefore, in this work it is intended to develop an embedded functional block regardless of technology, which allows simulate industrial processes of different characteristics considering the network communication delays involved. In order to validate this objective, the embedded Modbus protocol and a PID controller experimental results are presented. A comparison and evaluation of PID control in different simulation environments for application under sampling conditions and variable communications delays were performed. the results are analyzed from the point of view of control performance. © 2018 ieee.

关键词： Networked control systems

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Filtering Scheme for Context-Aware Fog computing in Cyber-Physical systems 14

Filtering Scheme for Context-Aware Fog Computing in Cyber-Ph...

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14th ieee/ASME international conference on Mechatronic and embedded systems and applications (MESA)

作者： Mononen, Teemu Aref, Mohammad M. Mattila, Jouni Tampere Univ Technol Lab Automat & Hydraul Engn Tampere Finland

ISBN: (纸本)9781538646434

In the cloud-based Internet of things, the amount of available network bandwidth can become a bottleneck, especially in real-time sensor network applications. this study presents an architecture and an algorithm for context-aware fog data filtering that can map data features and their appearance frequency. this reduces the amount of data sent using long-range communications. In this study, a Fast Fourier Transform (FFT)-based algorithm is presented, and a feature mapping technique is used. the filtering algorithm considers both historic data and adjacent sensor data to determine whether unexpected sensor outputs are caused by events in the system or faulty sensor readings. the type of data transmitted to supervisors is determined by the needs of the receivers. In this way, both events and raw data can be accessed from the proposed filters.

关键词： Internet of things cloud computing fog computing context-aware filtering

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Characterization of Electromagnetic Near Fields in Industrial systems 13

Characterization of Electromagnetic Near Fields in Industria...

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13th ieee international conference on Industry applications, INDUSCON 2018

作者： Raizer, Adroaldo Santos, Dalton Aryel Pedro Dos Ribeiro, Joao Victor Tonello Avila, Larissa Rosa Fonseca, Mikael Pontes Neves, Milena Rezende Barbosa GEMCO - Engineering and Electromagnetic Compatibility Group MagLab - Electromagnetism and Electromagnetic Compatibility Laboratory UFSC - Federal University of Santa Catarina Florianópolis Brazil

ISBN: (纸本)9781538679951

this paper presents a characterization of electromagnetic near fields in embedded and Internet-of-things (IoT) systems as a tool for implementation of the fourth industrial revolution. the characterizations are carried out through the point of view of measurements and numerical modeling. the measurements were performed through an automated system and numerical modeling using specific simulation software based on finite element method. A complex electronic device was used for the measurements and numerical modeling of the electromagnetic fields, in order to simulate an IoT device that operates with wireless communication for industrial scenario. Numerical modeling was performed based on complete electronic circuit and electrical models of components. Finally, comparisons were performed between the values of the electromagnetic fields obtained through simulations and the values measured in time domain and frequency domain. © 2018 ieee.

关键词： Numerical models

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Human Posture Recognition using Artificial Neural Networks 8

Human Posture Recognition using Artificial Neural Networks

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ieee 8th international Advance computing conference (IACC)

作者： Kale, Hrishikesh Mandke, Prathamesh Mahajan, Hrishikesh Deshpande, Vedant COEP Dept Elect & Telecommun Engn Pune Maharashtra India

ISBN: (纸本)9781538666784

this paper proposes the use of artificial neural networks(ANNs) to classify human postures, using an invasive(intrusive) approach, into 6 categories namely standing, sitting, sleeping and bending - forward and backward. Human posture recognition has numerous applications in the field of healthcare analysis like patient monitoring, lifestyle analysis, elderly care etc. Most importantly, our solution is capable of classifying the aforementioned postures in real-time, by wirelessly(Wi-Fi) acquiring and processing the sensor data on a Raspberry-Pi device with minimal lag. A data-set of 44,800 samples was collected - from 3 subjects - which was used to train and test the neural *** experimenting and testing with a plethora of network architectures, an optimal neural network architecture(6-9-6) with suitable hyper-parameters was determined which gave an overall accuracy of 97.589%.

关键词： pattern-recognition neural-networks posture-recognition wearable-sensors accelerometers embedded systems real time movement classification sensor positioning

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Simulation Model and Environment for Mixed-Criticality Networked Multi-Core Chips 13

Simulation Model and Environment for Mixed-Criticality Netwo...

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13th ieee international Symposium on Industrial embedded systems (SIES)

作者： Abuteir, Mohammed Owda, Zaher Ahmadian, Hamidreza Obermaisser, Roman TTTech Comp Tech AG Vienna Austria Univ Siegen Chair Embedded Syst Siegen Germany

ISBN: (纸本)9781538641552

the requirement for networked multi-core systems is expanding dramatically in many domains such as, aerospace, industry 4.0 and automotive areas. Today's systems that implicate multi-cores, complex architectures and a big variety of applications require well-structured and hierarchical simulation environments. In addition, an efficient and early validation of system requirements during design phase and not during implementation or deployment phases is essential. this has led to a higher demand for simulation tools and environments that can meet the increasing expectations for simulation accuracy, real-time and mixed-criticality support. However, currently there is a gap between the mixed-criticality integration at chip-level and off-chip level, which is a challenge for upcoming mixed-criticality systems with multi-core chips. In this work, a hierarchical simulation environment for mixed-criticality systems based on multi-core chips is introduced. the presented simulation model utilizes criticality-aware interfaces and gateways throughout the different simulated system levels, and successfully combines different simulation tools for the scope of the simulated case realization. In addition, an avionic use-case is presented to validate the presented simulation environment.

关键词： Object oriented modeling Tools Multicore processing System-on-chip Network interfaces Tiles Logic gates"

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A Survey on Multi-Sensor Fusion Techniques in IoT for Healthcare 13

A Survey on Multi-Sensor Fusion Techniques in IoT for Health...

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13th international conference on Computer Engineering and systems (ICCES)

作者： Abdelmoneem, Randa M. Shaaban, Eman Benslimane, Abderrahim Ain Shams Univ Fac Comp Sci Cairo Egypt Univ Avignon LIA CERI Avignon France

ISBN: (纸本)9781538651117

In Internet of things (IoT) dedicated for healthcare, heterogeneous data can be gathered from different body sensors, environmental sensors and other data sources such as cameras, audio recorders, etc. the aggregation, synchronization, processing and fusion of these heterogeneous data are critical tasks to accurately provide real-time healthcare services. this paper provides a survey on different multi-sensor data fusion techniques in loT for healthcare. through focusing on decision-level fusion, the paper explains different advanced techniques such as machine learning that are needed for the integration of multiple healthcare data sources. Detailed comparisons of sensors used, healthcare applications, types of environment, accuracy metrics and results are discussed. In addition, we present observations and recommendations for researches who wish to work in sensor fusion 14 healthcare.

关键词： Medical services Sensor fusion Fuzzy logic Sensor systems Bayes methods Data integration

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