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检索条件"任意字段=11th International Conference on Embedded and Real-Time Computing Systems and Applications"

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Manipulator's Control System with Application of the Machine Learning

Manipulator's Control System with Application of the Machine...

引用

IEEE international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and applications

作者： Yuriy Kondratenko Stanislav Sichevskyi Galyna Kondratenko Ievgen Sidenko Petro Mohyla Black Sea National University Mykolaiv Ukraine

ISBN: (纸本)9781665426060

this paper provides an analytical review of the subject area, approaches and methods for real-time control systems with application of the machine learning. the review helps to choose approaches to control robotic devices, methods of artificial intelligence to perform pattern recognition and classification, technologies to design a control system and simulate a robotic device. the design and software implementation stage involved the creation of a structural diagram and description of the selected technologies, training a neural network for recognition and classification of geometric objects, software implementation of control system components. the control system was implemented using the Swift programming language and other technologies, and the configuration and creation of a neural network using the CreateML framework.

关键词： Training Computer languages Neural networks Machine learning Control systems Software real-time systems

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Introducing a deferrable server into AUTOSAR 26

Introducing a deferrable server into AUTOSAR

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26th IEEE international conference on embedded and real-time computing systems and applications, RTCSA 2020

作者： Martinez Garcia, Jorge Luis Olmedo, Ignacio Sanudo University of Modena and Reggio Emilia Modena Italy

ISBN: (纸本)9781728144030

In the automotive domain there is a renewed interest for the adoption of fixed priority real-time servers, as a way to implement more efficient reservation mechanisms than TDMAbased methods. In this paper, we take advantage of their temporal isolation to serve tasks originally scheduled in the background so that they can meet their deadlines. Hence, we present a method to implement a Deferrable Server (DS) on top of ETAS RTA-OS, a ubiquitous AUTOSAR-compliant OS, and propose a heuristic to select its parameters. We then prove the effectiveness of the parametrization by applying the technique to an industrial case study consisting of an automotive engine control system. © 2020 IEEE.

关键词： real time systems

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real-time Multi Pose Trajectory Tracking based on OpenPose Keypoints

Real-time Multi Pose Trajectory Tracking based on OpenPose K...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and applications

作者： Adam Surówka Faculty of Electrical and Computer Engineering Cracow University of Technology Kraków PL

ISBN: (纸本)9781665426060

Currently, there exist several open-source computer vision libraries designed for human pose estimation from photos and videos. they are mainly focused on the possibility of detecting individuals in the image and returning their skeleton determinants. An often overlooked or underdeveloped functionality is tracking the trajectory of the detected people, which presents a serious problem in the process of design automated video surveillance systems. In this work, the author attempts to develop an algorithm for tracking multiple human poses in real-time, based on simple decision filters. the developed solution is designed to work with keypoints obtained from a selected open-source human poses recognition library. the author reveals details related to the method of processing and analysing obtained keypoints, describes the concept of decision filters and presents the results of the software implementation.

关键词： Codes Trajectory tracking Pose estimation Filtering algorithms Video surveillance Libraries real-time systems

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Research on UAV Target Detection Algorithm Based on Improved Air-Borne-YOLOv3

Research on UAV Target Detection Algorithm Based on Improved...

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international conference on Network and Information systems for Computers (ICNISC)

作者： Hao Wang Huajun Gong Yourong Fan Xinhua Wang College of Automation Engineering Nanjing University of Aeronautics and Astronautics Jiangning Nanjing Jiangsu China

ISBN: (纸本)9781665453523

While the rapid development of multi-rotor UAVs brings wide applications, it also brings harm to social life and personal safety due to problems such as “indiscriminate flying” and “black flying”. therefore, there is an urgent need to carry out research work on anti-VAV systems. the most critical technology in the countermeasure system is the real-time detection of the target UAV. the traditional YOLOv3 detection algorithm cannot achieve a balance between real-time performance and detection accuracy on airborne embedded devices with limited computing power. therefore, this paper first improves the end structure of MobileNetV3-Small and replaces the backbone network of the original YOLOv3 with it, which greatly reduces the amount of calculation, but brings about the loss of detection accuracy; Next, an improved receptive field module(RFB+) is added, which strengthens the detection ability of targets in complex backgrounds; Finally, the improved YOLOv3 algorithm is named Air-Borne-YOLOv3. the feasibility and superiority of the improved algorithm are proved by the actual flight test results.

关键词： Training Performance evaluation Rotors Object detection real-time systems Safety Aircraft

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Detection of Editing Bursts and Extraction of Significant Keyphrases from Wikipedia Edit History 6th

Detection of Editing Bursts and Extraction of Significant Ke...

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6th international conference on Big Data applications and Services, BigDAS 2018

作者： Chen, Zihang Iwaihara, Mizuho Graduate School of Information Production and Systems Waseda University Kitakyushu Japan

ISBN: (纸本)9789811587306

In an online collaboration system such as Wikipedia, edit history is stored as revisions. Topics of articles or categories grow and fade over time, and evolutionary information is retained in its edit history. We consider that a great amount of information that is related to real life events is embedded in such edit history of documents. this paper focuses on a particular temporal text mining task: effectively extracting keyphrases from burst periods in the edit history of Wikipedia articles or category. We first combine the ARIMA model with a decay function to find typical edit burst periods, then perform keyphrase extraction on burst periods to reveal topics of bursts. However, keyphrase extraction methods, such as TextRank, do not consider temporal trends in text stream. In this paper, we propose TextRank_nfidf which reflects temporal trends into phrase node weights, by computing smoothed difference of editing frequency between revisions. We confirm that detected bursts and keyphrases are matching well with events along the timeline. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Extraction

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Activity Recognition in the City using embedded systems and Anonymous Sensors 11

Activity Recognition in the City using Embedded Systems and ...

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11th international conference on Ambient systems, Networks and Technologies (ANT) / 3rd international conference on Emerging Data and Industry 4.0 (EDI)

作者： Baghezza, R. Bouchard, K. Bouzouane, A. Gouin-Vallerand, C. LIARA Lab UQAC Chicoutimi PQ G7H 2B1 Canada Sherbrooke Univ Sherbrooke PQ J1K 2R1 Canada

this paper presents an embedded system that performs activity recognition in the city. Arduino Due boards with infrared, distance and sound sensors are used to collect data in the city and the activity, profile, and group size recognition performance of different machine learning algorithms (RF, SVM, MLP) are compared. the features were extracted based on fixed-size windows around the observations. We show that it is possible to achieve a high accuracy for binary activity recognition with simple features, and we discuss the optimization of different parameters such as the sensors collection frequency, and the storage buffer size. We highlight the challenges of activity recognition using anonymous sensors in the environment, its possible applications and advantages compared to classical smartphone and wearable based approaches, as well as the improvements that will be made in future versions of this system. this work is a first step towards real-time online activity recognition in smart cities, with the long-term goal of monitoring and offering extended assistance for semi-autonomous people. (C) 2020 the Authors. Published by Elsevier B.V.

关键词： Activity Recognition Smart City Machine Learning Anonymous Data Healthcare embedded systems

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ELSE: an Efficient Link-time Static Instrumentation Tool for embedded System 11

ELSE: an Efficient Link-time Static Instrumentation Tool for...

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11th international Workshop on Programming Models and applications for Multicores and Manycores (PMAM)

作者： Tang, Xiaoxin Shanghai Univ Finance & Econ Dept Comp Sci & Technol Shanghai Peoples R China

ISBN: (纸本)9781450375221

Unlike general systems, hardware and software of embedded systems are usually customized for specific purposes and many of them are real-time systems. With time changing, their workloads are also changing rapidly and maintaining their software becomes a complicated job. the key is to understand their behaviours so that developers can make changes to them according to the new situations. To trace their runtime behaviours, instrumentation techniques are widely used in general systems. However, applying them on embedded system faces several problems including big size growth rate, long instrumentation time, high runtime overhead, etc. As the hardware performance of embedded system are usually limited, these problems are crucial and cannot be ignored. As far as we know, existing tools can only partly solve all these problems. In this paper, we propose ELSE, an Efficient and Link-time, Static instrumentation tool for embedded system. It supports efficient low-level and high-level instrumentation to collect most runtime information developers want. It does not waste any space during instrumentation thus its size growth rate is very small, which is only about 30% of other existing tools. Its processing time is also orders of magnitude less than other existing tools. We optimize the influence of registers and cache which can further reduce its runtime overhead. Overall, ELSE performs the best compared with other state-of-the-art tools on SPEC 2006 benchmarks.

关键词： Static Instrumentation Performance Evaluation embedded systems

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2018 14th IEEE/ASME international conference on Mechatronic and embedded systems and applications, MESA 2018

2018 14th IEEE/ASME International Conference on Mechatronic ...

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14th IEEE/ASME international conference on Mechatronic and embedded systems and applications, MESA 2018

ISBN: (纸本)9781538646434

the proceedings contain 60 papers. the topics discussed include: sensor-embedded linear ball bearing for linear guide way pre-load and straightness monitoring;multi-robot coordination through mobile agent;research of vehicle parameter and sensor systems necessary to control autonomous vehicles;machine learning approach for predictive maintenance in Industry 4.0;filtering scheme for context-aware fog computing in cyber-physical systems;the sensing technology of applying the acoustic emission sensor to the grinding wheel loading phenomenon;accelerating Viterbi algorithm using custom instruction approach;design, development and experimental evaluation of a vortex actuation system;optimal map-based mode selection and powertrain control for a multi-mode plug-in hybrid electric vehicle;spline-based energy-optimal trajectory planning for functionally redundant robots;simulation analysis and performance evaluation of a vibratory feeder actuated by dielectric elastomers;machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction;real-time and robust collaborative robot motion control with Microsoft Kinect® V2;control design of an electro-pneumatic gearbox actuator;modeling and simulation of hybrid electric ships with AC power busa case study;low-power wake-up system based on frequency analysis for environmental Internet of things;and scalability of GPU-processed 3D distance maps for industrial environments.

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Agglomerative Clustering of Data Collected by Honeypots

Agglomerative Clustering of Data Collected by Honeypots

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IEEE international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and applications

作者： Antonina Kashtalian Oleg Savenko Anatoliy Sachenko Khmelnytskyi National University Khmelnytskyi Ukraine West Ukrainian National University Ternopil Ukraine

ISBN: (纸本)9781665426060

Identifying new and modified attacks is an important task to ensure the normal operation of computer networks connected to the Internet. Using honeypots and honeynets is one of the effective ways to get information about attackers and their actions as soon as possible. the paper proposes a method of the determination of attack patterns based on information collected by honeypots. To detect patterns, agglomerative clustering of time series of intruders' activity preprocessed by a convolutional encoder is used, the obtained clustering rand index is 82-84%.

关键词： time series analysis Data acquisition Particle measurements time measurement real-time systems Internet Decoding

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Dioptra - A Data Generation Application for Indoor Positioning systems

Dioptra - A Data Generation Application for Indoor Positioni...

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11th international conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Pendao, Cristiano Silva, Ivo Moreira, Adriano Torres-Sospedra, Joaquin Univ Minho Algoritmi Res Ctr Braga Portugal UBIK Geospatial Solut SL Castellon de La Plana Spain

ISBN: (纸本)9781665404020

Indoor Positioning systems (IPSs) based on different approaches and technologies have been proposed to support localization and navigation applications in indoor environments. the fair benchmarking and comparison of these IPSs is a difficult task since each IPS is usually evaluated in very specific and controlled conditions and using private data sets, not allowing reproducibility and direct comparison between the reported results and other competing solutions. In addition, testing and evaluating an IPS in the real world is difficult and time-consuming, especially when considering evaluation in multiple environments and conditions. To enhance IPS assessment, we propose Dioptra, an open access and user-friendly application to support research, development and evaluation of IPSs through simulation. To the best of our knowledge, Dioptra is the first application specially developed to generate synthetic datasets to promote reproducibility and fair benchmarking between IPSs.

关键词： Simulator Indoor Navigation Evaluation

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