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Context switch reduction for delay tolerant activities 9

Context switch reduction for delay tolerant activities

引用

9th ieee international conference on Electronics, computing and Communication Technologies, CONECCT 2023

作者： Sudarshan Rao, B. Vrind, Tushar Venkata Raju, I. Samsung Semiconductor India Research Bangalore India

ISBN: (纸本)9798350334395

Cyber-Physical systems connect physical infrastructure and things to the internet and to one another by integrating sensing, computation, control, and networking. One of the main optimization objectives for the effective operation of such systems is latency reduction. The key components of Cyber Physical systems, RTOS (real time Operating systems), contribute significantly to the system's latency. Different scheduling strategies may be used by a real-time operating system to schedule the system's task efficiently. One such approach used frequently in contemporary embedded computing is preemptive priority scheduling. The executing component in this sort of scheduling is susceptible to preemption at any time due to the execution of an OS API or the scheduler's inter-core task assignment. Unaffected by whether the execution context is going to end or self-relinquish, a preemptive scheduler preempts a task. The kernel lacks the ability to detect when a job is about to self-relinquish or when an execution context is ready to finish. The number of context transitions in the system rises as a result of such preemption. A context switch is an expensive process from the operating system's perspective since it could involve overheads such as MMU table updates, register store restores, bookkeeping and cache reload overhead. The specifics of how to lessen such context changes are covered in this study. The introduction of threshold is discussed in order to stop the kernel from preempting a job that is about to finish or self-relinquish. Additionally, the multi-core instance illustrates how context transitions can be minimised by implementing unique preemption techniques. Our internal simulation test setting demonstrated that a novel preemption method might reduce processing time for the entire system by 2.3 percent. © 2023 ieee.

关键词： embedded systems

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QR-Based Efficient Waste Management System 4

QR-Based Efficient Waste Management System

引用

4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Anuratha, K. Akshaya, S. Rajaselvi, C. Akshaya, M. Sri Sairam Institute of Technology Department of Information Technology Tamil Nadu Chennai India

ISBN: (数字)9798331529635

ISBN: (纸本)9798331529635

This research study provides an overview of the QR-based Trash Management System, which emerges as a technology- driven process that aims at optimizing processes within the waste management process within urban environments. Traditional waste management systems usually fail on proper tracking, timely collections, and effective communication. Implementation of Quick Response code technology enabled this system to meet its challenges toward an organized and sustainable waste management framework. The basis for this system is in the integration of QR codes and mobile applications, which will enhance segregation practices, community engagement, and so forth. This QR-based Waste Management System is built to increase operational processes, sustainability initiatives, lower costs, and help towards making the cities cleaner and healthier. This scalable solution empowers communities to take active roles in waste management and hence forms a very critical innovation for metropolitan areas. © 2024 ieee.

关键词： Waste management Technological innovation Urban areas QR codes Ubiquitous computing real-time systems Mobile applications Waste disposal Sustainable development Information systems

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Machine Learning-Driven Anomaly Detection: A Comprehensive Model for Digital Security 4

Machine Learning-Driven Anomaly Detection: A Comprehensive M...

引用

4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Samarth, S. Sumukha Raghavan, M. Santhosh, T. Kowligi, Sahana J. Pooja, M.R. Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (纸本)9798331529635

This research study proposes a novel approach for behavioral tracking and anomaly detection in digital systems by using AI-driven models, particularly for applications in signal processing and digital computer environments. The proposed AI model combines techniques of behavioral tracking, aiming at identifying deviations in the operations of the system, while enhanced monitoring and anomaly identification are the focus. This methodology captures subtle deviations in user behavior and system signals to enhance real-time security and system integrity, thereby reducing the likelihood of unauthorized access and system misuse. © 2024 ieee.

关键词： AI Models Anomaly Detection Behavioral Tracking Digital systems

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Integration of C2000 Microcontrollers with MATLAB Simulink embedded Coder: A real-time Control Application 7

Integration of C2000 Microcontrollers with MATLAB Simulink E...

引用

7th international conference on Electrical Engineering and Green Energy, CEEGE 2024

作者： Rahman, Mohammad Abidur Abushaiba, Ali A. Elrajoubi, Akrem M. University of Arkansas School of Engineering & Engineering Technology Little RockAR United States University of Misurata College of Engineering Misurata Libya

ISBN: (纸本)9798350350623

C2000 TM 32-bit microcontrollers excel in real-time control, optimizing closed-loop performance for various applications such as industrial motor drives, solar inverters, digital power systems, and sensing. The lineup offers Premium and Entry-performance microcontroller units (MCUs). This paper explores the integration process of Texas Instruments text TM (TI) C2000 microcontroller units with MATLAB and Simulink using Code Composer Studio (CCS) and embedded Coder (EC) support package for C2000 microcontrollers. It shows how to set up Simulink to program the Digital Signal Processor (DSP) microcontroller unit and the communication between the host computer and the C2000 target hardware using the LAUNCHXLF28379D launchpad. Basic functions such as Pulse Width Modulation, Analog Digital Conversion, and Proportional-Integral controllers are explained. Finally, a closed-loop control model for a C2000 Digital Power Buck Converter BoosterPack is implemented, showcasing the effective integration of TI C2000 microcontroller units with MATLAB, Simulink, and related tools for real-time control in the power system context. © 2024 ieee.

关键词： Microcontrollers

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Predictive Maintenance Based on embedded AI and Wireless Monitoring of Working Environment 8

Predictive Maintenance Based on Embedded AI and Wireless Mon...

引用

8th international conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Ma, Linyang Li, Yinchao Yue, Weiwei Song, Xiaolu Shandong Normal University School of Physics and Electronics Jinan China Yili Normal University College of Art and Design Xinjiang Yining China

ISBN: (纸本)9798331506230

Traditional fault diagnosis methods are often inefficient and costly, hindered by limited computing power that compromises accuracy. Their lack of flexibility also poses challenges in establishing effective multi-device operational monitoring systems. To address these issues, we developed a fault diagnosis and predictive maintenance system based on Lightweight-time-Delay Neural Networks (Lightweight-TDNNs). Leveraging their robust capability in processing time-series data, TDNNs excel in learning features across various time delays. By optimizing AI algorithms for lightweight deployment, we successfully implemented embedded AI for predictive maintenance of machinery and equipment faults at the edge. Utilizing a Zigbee-based IoT approach, we enabled wireless monitoring of equipment status and environmental conditions, overcoming the constraints of wired installations. Validation on the STM32F429 chip demonstrated that our model achieves over 90% accuracy on test sets, demonstrating its suitability for industrial applications. © 2024 ieee.

关键词： Predictive maintenance

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RAPID: Integrating AI and Multi-Agent systems for Enhanced Traffic Management Framework with YOLOv9

RAPID: Integrating AI and Multi-Agent Systems for Enhanced T...

引用

2024 international conference on Innovation and Intelligence for Informatics, computing, and Technologies, 3ICT 2024

作者： Baroud, Shadia Yahya Yahaya, Nor Adnan Department of Computing University Malaysia of Computer Science and Engineering Petaling Jaya Malaysia

ISBN: (纸本)9798331533137

Traffic accidents pose a major risk to human life and have a considerable economic impact worldwide. In this study, we present the RAPID framework, an innovative approach that integrates Artificial Intelligence (AI) and Multi-Agent systems (MAS) to enhance traffic management. The core of the RAPID framework is the YOLOv9 model, a "state-of-the-art" deep learning (DL) algorithm for real-time object detection and classification, which we employ to detect and classify traffic accidents accurately. The RAPID framework addresses key challenges in modern traffic management, including data heterogeneity, scalability and real-time processing. Our system leverages a multi-layered architecture: data is acquired from various sources, including traffic cameras and CCTV and then transmitted to a cloud data center for storage and processing. Within the cloud infrastructure, the data undergoes pre-processing and is analyzed by the YOLOv9 model. The MAS coordinates various components of the framework, distributing tasks among specialized agents responsible for data acquisition, preprocessing, model training and real-time detection. We evaluated the performance of the RAPID framework using a dataset of 3000 labeled traffic accident images. The YOLOv9 model demonstrated 95.4% accuracy, 93.8% precision, 92.6% recall and 93.2% F1-score. The experimental results indicate that the RAPID framework significantly improves traffic accident detection and response times compared to traditional systems, highlighting its potential for real-world applications. The RAPID framework contributes to the field of intelligent transportation systems (ITS) by providing a robust, scalable and efficient solution for real-time traffic management. ©2024 ieee.

关键词： Multi agent systems

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Architecting Machine Learning systems: Which Parts are the Architect's Pain? 21

Architecting Machine Learning Systems: Which Parts are the A...

引用

21st international conference on Software Architecture (ICSA)

作者： Jepsen, Sune Chung Nielsen, Anna Olgaard Kjaergaard, Mikkel Baun Univ Southern Denmark SDU Software Engn Odense Denmark

ISBN: (纸本)9798350366266;9798350366259

Designing machine learning applications can be challenging, especially software architectures for handling real-time sensor data processed by compute- and software-intensive machine learning applications. This paper answers the two research questions: "Which parts of a machine learning pipeline do novel software architectures and framework optimize?" and the associated question of "Which parts do the architect then need to focus on?". The presented experiences and experimental results suggest that novel software architectures and frameworks optimize the learning and classification part of the pipelines. Therefore, the architect in particular needs to focus on data distribution and preprocessing as these parts were observed to have an overlooked computational cost and complexity. These results are important for software architects to become better at architecting machine learning-based systems.

关键词： Architecting Machine Learning Pipeline

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Research on Electronic Information Control System Based on Computer ARM embedded Technology 3

Research on Electronic Information Control System Based on C...

引用

3rd ieee international conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Huiguo, Cao Yanxiang, Gong Taishan University School of Physics and Electronic Engineering Tai'an271000 China

ISBN: (纸本)9781665472784

This paper proposes an architecture of an ARM-based remote video electronic information monitoring system. The system converts the embedded Linux terminal system memory allocation problem into a 0-1 knapsack problem. The system solves the knapsack problem by dynamic programming method to realize the memory optimization of embedded Linux terminal system. The system is sent to the client through the sending program based on real-time Transport Protocol (RTP) to realize real-time encoding and sending. At the same time, the system realizes the CGI programming of A/D data acquisition. The experimental results show that the system has better real-time performance, clearer images and meets the system design requirements. © 2023 ieee.

关键词： Data acquisition

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Nonlinear Output Feedback Control for Double-Pendulum Aerial Transportation systems with Variable-Length Cable

Nonlinear Output Feedback Control for Double-Pendulum Aerial...

引用

2024 ieee international conference on real-time computing and Robotics, RCAR 2024

作者： Yu, Hai Wang, Yang Liu, Bingbing Han, Jianda Fang, Yongchun Liang, Xiao Nankai University The Institute of Robotics and Automatic Information System College of Artificial Intelligence The Tianjin Key Laboratory of Intelligent Robotics Tianjin300350 China

ISBN: (纸本)9798350372601

Implementing aerial transportation systems in real-world scenarios is becoming feasible. Due to the ability to dynamically adjust the distance between quadrotor and cargo, the aerial transportation system with variable-length cable (ATSVC) holds significant value in applications such as tunnel traversal and obstacle avoidance. However, existing studies often overlook the hook, which means that the double-pendulum effect is ignored. In practical systems, there exists complex dynamic coupling among the motion of quadrotor, variations in cable length, and the swing motion of hook and cargo. Besides, the velocity information in real-world environments cannot be accurately measured, which makes precise control extremely challenging. To address the aforementioned challenges, this paper introduces an output feedback control method for the double-pendulum ATSVC. Specifically, the proposed method operates without the need for velocity information and effectively constrains the quadrotor's overshoot within a prescribed scope. Lyapunov techniques and LaSalle's Invariance Theorem are employed to prove the stability of the closed-loop system. Numerical simulations are implemented to verify the proposed method's performance. © 2024 ieee.

关键词： Pendulums

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time Machine: Generative real-time Model For Failure (and Lead time) Prediction in HPC systems 53

Time Machine: Generative Real-Time Model For Failure (and Le...

引用

53rd Annual ieee/IFIP international conference on Dependable systems and Networks (DSN)

作者： Alharthi, Khalid Ayed Jhumka, Arshad Di, Sheng Gui, Lin Cappello, Franck McIntosh-Smith, Simon Univ Warwick Coventry England Univ Chicago Argonne Natl Lab Chicago IL USA Kings Coll London London England Univ Bristol Bristol England Univ Bisha Bisha Saudi Arabia Alan Turing Inst London England Univ Illinois Champaign IL USA

ISBN: (纸本)9798350347937

High Performance computing (HPC) systems generate a large amount of unstructured/alphanumeric log messages that capture the health state of their components. Due to their design complexity, HPC systems often undergo failures that halt applications (e.g., weather prediction, aerodynamics simulation) execution. However, existing failure prediction methods, which typically seek to extract some information theoretic features, fail to scale both in terms of accuracy and prediction speed, limiting their adoption in real-time production systems. In this paper, differently from existing work and inspired by current transformer-based neural networks which have revolutionized the sequential learning in the natural language processing (NLP) tasks, we propose a novel scalable log-based, self-supervised model (i.e., no need for manual labels), called time Machine1, that predicts (i) forthcoming log events (ii) the upcoming failure and its location and (iii) the expected lead time to failure. time Machine is designed by combining two stacks of transformer-decoders, each employing the self-attention mechanism. The first stack addresses the failure location by predicting the sequence of log events and then identifying if a failure event is part of that sequence. The lead time to predicted failure is addressed by the second stack. We evaluate time Machine on four realworld HPC log datasets and compare it against three state-of-the-art failure prediction approaches. Results show that time Machine significantly outperforms the related works on Bleu, Rouge, MCC, and F1-score in predicting forthcoming events, failure location, failure lead-time, with higher prediction speed.

关键词： Transformer decoder, LSTM, failure prediction, logs, HPC systems, deep learning, time Machine, Generative Model, Lead time Prediction, supercomputer, large scale systems, anomaly prediction

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