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检索条件"任意字段=15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 2151 条记录，以下是351-360 订阅

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Message from the General and Program co-Chairs

Message from the General and Program co-Chairs

引用

ieee international conference on embedded and real-time computing systems and applications (RTCSA)

Message from the General and Program co-Chairs

ISBN: (数字)9781728144030

ISBN: (纸本)9781728144047

Message from the General and Program co-Chairs

关键词： real-time systems conferences embedded systems Industries Heterogeneous networks Standards Finance

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A real-time Server Based Approach for Safe and timely Intersection Crossings 25

A Real-Time Server Based Approach for Safe and Timely Inters...

引用

25th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Oza, Pratham Chantem, thidapat Virginia Tech Dept Elect & Comp Engn Blacksburg VA 24061 USA

ISBN: (纸本)9781728131979

Safe and efficient traffic control remains a challenging task with the continued increase in the number of vehicles, especially in urban areas. this paper focuses on traffic control at intersections, since urban roads with closely spaced intersections are often prone to queue spillbacks, which disrupt traffic flows across the entire network and increase congestion. While various intelligent traffic control solutions exist for autonomous systems, they are not applicable to or ineffective against human-operated vehicles or mixed traffic. On the other hand, existing approaches to manage intersections with human-operated vehicles cannot adequately adjust to dynamic traffic conditions. this paper presents a technology-agnostic adaptive real-time server based approach to dynamically determine signal timings at an intersection based on changing traffic conditions and queue lengths (i.e., wait times) to minimize, if not eliminate, spillbacks without unnecessarily increasing delays associated with intersection crossings. this work is also the first to provide worst-case bounds on wait time making our approach more dependable and predictable. the proposed approach was validated in simulations and on a realistic hardware testbed with robots mimicking human driving behaviors. Compared to the pre-timed traffic control and an adaptive scheduling based traffic control, our algorithm is able to avoid spillbacks under highly dynamic traffic conditions and improve the average crossing delay in most cases by 10-50%.

关键词： Delays real-time systems Roads Adaptation models Vehicle dynamics Control systems

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A Smart VPN Bonding Technique for Drone Communication applications 15

A Smart VPN Bonding Technique for Drone Communication Applic...

引用

15th Annual international conference on Distributed computing in Sensor systems (DCOSS)

作者： Avanzato, Roberta Beritelli, Francesco Rametta, Corrado Russo, Michele Univ Catania Dept Elect Elect & Comp Engn Catania Italy Vicosystem SRL Vle O Da Pordenone 33 I-95128 Catania Italy

ISBN: (纸本)9781728105703

the use of drones or UAV for civilian applications are one of the topics of great interest in recent years. the application contexts are numerous and the mobile Internet access is becoming a key component in the design of such a systems and in their deployment in critical areas or emergency scenarios typically managed by the Department of Civil Protection. the possibility of measuring data through a set of sensors or taking video images with cameras on board the drone, making information available in real time in remote command and control positions, opens new horizons in terms of methodology and accuracy in the mobile data monitoring. the paper presents a first prototype of "smart VPN bonding mechanism for drone communications" and the first tests have already confirmed the benefits of this innovative approach.

关键词： Load-Balancing Adaptive Weight Assignment Mobile Internet FANET Vehicle-to-Infrastructure Communications

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A Collaborative and Adaptive Feedback System for Physical Exercises

A Collaborative and Adaptive Feedback System for Physical Ex...

引用

international conference on Collaborative computing: Networking, applications and Worksharing (CollaborateCom)

作者： Ishan Ranasinghe Chengping Yuan Ram Dantu Mark V. Albert Computer Science and Engineering University of North Texas Denton TX USA

ISBN: (纸本)9781665416269

Maintaining motivation to meet physical exercise goals is a big challenge in virtual/home-based exercise guidance systems. Lack of motivation, long-maintained bad daily routines, and fear of injury are some of the reasons that cause this hesitation. this paper proposes a reinforcement learning-based virtual exercise assistant capable of providing encouragement and customized feedback on body movement form over time. Repeated arm curls were observed and tracked using single and dual-camera systems using the Posenet pose estimation library. To accumulate enough experience across individuals, the reinforcement learning model was collaboratively trained by subjects. the proposed system is tested on 36 subjects. Behavioral changes are apparent in 31 of the 36 subjects, with 31 subjects reducing movement errors over time and 15 subjects completely eliminating the errors. the system was analyzed for which types of feedback provided the highest expected value, and feedback directly related to the previous mistake provided the highest valued feedback ( $p < 0.0133$ ). the result showed that the Reinforcement Learning system provides meaningful feedback and positively impacts behavior progress.

关键词： Q-learning Tracking Pose estimation Collaboration Muscles real-time systems Libraries

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Automatic Generation of Hierarchical Contracts for Resilience in Cyber-Physical systems 25

Automatic Generation of Hierarchical Contracts for Resilienc...

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25th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Xu, Zhiheng Ng, Daniel Jun Xian Easwaran, Arvind Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9781728131979

With the growing scale of Cyber-Physical systems (CPSs), it is challenging to maintain their stability under all operating conditions. How to reduce the downtime and locate the failures becomes a core issue in system design. In this paper, we employ a hierarchical contract-based resilience framework to guarantee the stability of CPS. In this framework, we use Assume Guarantee (A-G) contracts to monitor the non-functional properties of individual components (e.g., power and latency), and hierarchically compose such contracts to deduce information about faults at the system level. the hierarchical contracts enable rapid fault detection in large-scale CPS. However, due to the vast number of components in CPS, manually designing numerous contracts and the hierarchy becomes challenging. To address this issue, we propose a technique to automatically decompose a root contract into multiple lower-level contracts depending on I/O dependencies between components. We then formulate a multi-objective optimization problem to search the optimal parameters of each lower-level contract. this enables automatic contract refinement taking into consideration the communication overhead between components. Finally, we use a case study from the manufacturing domain to experimentally demonstrate the benefits of the proposed framework.

关键词： Contract Synthesis Automatic Contract Generation Cyber-Physical systems Resilience Decentralized Algorithms

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Special Aspects of Errors Definition via Sum Codes within embedded Control Schemas Being realized by Means of Boolean Complement Method

Special Aspects of Errors Definition via Sum Codes within Em...

引用

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

作者： Dmitry Efanov German Osadchy Marina Zueva Peter the Great St. Petersburg Polytechnic University St. Petersburg Russian Federation Scientific and Technical Center “Integrated Monitoring Systems” LLC St.Petersburg Russian Federation “IBS” LLC St. Petersburg Russian Federation

ISBN: (纸本)9781665426060

Within present article characteristics of errors definition are being analyzed within coded words of conventional sum codes (Berger Codes). Unrevealed features of earlier unknown errors detection based on self-multiplicity and forms (unidirectional, symmetrical either asymmetrical), were discovered by us, which may be helpful while synthesis of embedded control schemas, for example, by means of Boolean Complement Method. Here we demonstrated, that while implementation of Berger Codes, certain amount of symmetrical as well as asymmetrical plus unidirectional faults within coded words are not being spotted, which considered as a difference compares to prior defined characteristics of malfunction identification within data vectors of Berger Codes only (regarding our abovementioned case, any symmetrical errors are not the matter of identification, but at the same time, any of unidirectional or asymmetrical mistakes are being found, which is useful while errors definition systems synthesis). the share of not traced errors from the entire quantity per Berger Codes with data vectors dimensions $r=4\ldots 7$ is composed of less than 2%, as for Berger Codes with vectors lengths $r=8\ldots 15$ , it is even less than 0.5%. the abovementioned factor has significant influence on probabilistic characteristics of errors detection into coded words of Berger Codes: for instance, within prospect of failure absence in single digit order number $p=0.9$ , chance of error identification in coded words Pm is above the value of 0.99 for total noted lengths of data vectors. Application of conventional codes with summation is well thought-out as effective case for embedded control systems synthesis including via Boolean Complement Method, where, data and check digits of coded words are being evaluated by means of diagnostic object itself.

关键词： Fault diagnosis Codes conferences Redundancy Data acquisition Control system synthesis Probabilistic logic

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IoT-based Seismic Hazard Detection in Coal Mines using Grey systems theory 15

IoT-based Seismic Hazard Detection in Coal Mines using Grey ...

引用

15th ieee international Wireless Communications and Mobile computing conference (ieee IWCMC)

作者： Ghosh, Nimisha Banerjee, Indrajit Siksha O Anusandhan Deemed Univ Inst Tech Educ & Res Dept Comp Sci & Informat Technol Bhubaneswar Odisha India Indian Inst Engn Sci & Technol Dept Informat Technol Sibpur Howrah India

ISBN: (纸本)9781538677476

Internet of things enabled applications are an amalgamation of many physical devices embedded with electronics, sensors etc. whose data can be successfully used for monitoring of nature induced hazards. One such special case of hazard is seismic hazard which is a common occurrence in underground mines. It is very hard to detect and predict and can thus be compared to an earthquake. Detection of a seismic hazard is therefore of utmost importance for a healthy mining activity. this work presents a Grey systems theory based classification method for the detection of seismic hazard in underground mines. the proposed approach has been applied on a real life data set to verify its viability. the simulation results show that the proposed approach showcases better performance than some of the state-of-the-art machine learning techniques.

关键词： Classification Grey theory Internet of things (IoT) Monitoring Seismic hazard

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NN-SANARX Model Based Control of a Water Tank System Using embedded Microcontroller Arduino 10

NN-SANARX Model Based Control of a Water Tank System Using E...

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10th ieee international conference on Intelligent Data Acquisition and Advanced computing systems - Technology and applications (IDAACS)

作者： Skiparev, Vjatseslav Belikov, Juri Petlenkov, Eduard Tallinn Univ Technol Dept Comp Syst Akad Tee 15a EE-12618 Tallinn Estonia Tallinn Univ Technol Dept Software Sci Akad Tee 15a EE-12618 Tallinn Estonia

ISBN: (纸本)9781728140698

the paper is devoted to the application of neural network based SANARX method, implemented on embedded device, for the real-time control of liquid level inside a single water tank. the system is implemented as laboratory prototype with two bottles. the embedded neurocontroller is implemented in Arduino Mega 2560 Developing Board, which has been chosen due to sufficient computational power. Presented microcontroller program is an adaptation of mathematical model designed and verified in MATLAB/Simulink environment.

关键词： Computational intelligence embedded control industrial applications

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On Distributed Sensor Fusion in Batteryless Intermittent Networks 15

On Distributed Sensor Fusion in Batteryless Intermittent Net...

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15th Annual international conference on Distributed computing in Sensor systems (DCOSS)

作者： Yildirim, Kasim Sinan Pawelczak, Przemyslaw Ege Univ Dept Comp Engn Izmir Turkey Delft Univ Technol Embedded & Networked Syst Delft Netherlands

ISBN: (纸本)9781728105703

Distributed and collaborative computation has never been considered before in networks of batteryless sensors. this can bring many advantages for applications (e.g. longer transmission ranges, lower network costs), however introducing new research challenges. In this paper, we focus on the well-known distributed sensor fusion but in an intermittently-powered batteryless sensor network. the goal is to estimate a parameter collaboratively by considering individual sensor measurements. We show that, even though the nodes stop operation with high probability due to random power failures and they neither communicate with their neighbors nor perform computation most of the time, the simplest implementation of the fully-distributed sensor fusion based on average consensus improves the overall estimation quality of the network considerably. In the light of this, we anticipate that if harvested energy is used efficiently so that nodes have more opportunity to receive and send packets, existing fully-distributed protocols can be implemented with tiny modifications in networks of batteryless sensors.

关键词： Batteryless sensors Intermittent communication Distributed sensor fusion

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Middleware for real-time Event Detection and Predictive Analytics in Smart Manufacturing 15

Middleware for Real-Time Event Detection and Predictive Anal...

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15th Annual international conference on Distributed computing in Sensor systems (DCOSS)

作者： Ali, Muhammad Intizar Patel, Pankesh Breslin, John G. Natl Univ Ireland Galway Data Sci Inst Confirm SFI Res Ctr Smart Mfg Galway Ireland Fraunhofer USA CESE College Pk MD USA

ISBN: (纸本)9781728105703

Industry 4.0 is a recent trend of automation for manufacturing technologies and represents the fourth industrial revolution which transforms current industrial processes with the use of technologies such as automation, data analytics, cyber-physical systems, IoT, artificial intelligence, etc. the vision of Industry 4.0 is to build an end-to-end industrial transformation with the support of digitization. Data analytics plays a key role to get a better understanding of business processes and to design intelligent decision support systems. However, a key challenge faced by industry is to integrate multiple autonomous processes, machines and businesses to get an integrated view for data analytics activities. Another challenge is to develop methods and mechanisms for real-time data acquisition and analytics on-thefly. In this paper, we propose a semantically interoperable framework for historical data analysis combined with real-time data acquisition, event detection, and real-time data analytics for very precise production forecasting within a manufacturing unit. Besides historical data analysis techniques, our middleware is capable of collecting data from diverse autonomous applications and operations in real time using various IoT devices, analyzing the collected data on the fly, and evaluating the impact of any detected unexpected events. Using semantic technologies we integrate multiple autonomous systems (e.g. production system, supply chain management and open data). the outcome of real-time data analytics is used in combination with machine learning models trained over historical data in order to precisely forecast production in a manufacturing unit in real time. We also present our key findings and challenges faced while deploying our solution in real industrial settings for a large manufacturing unit.

关键词： real-time systems Production Data analysis Middleware Manufacturing Business Data models

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