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

共 36970 条记录，以下是861-870 订阅

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Diagnosing applications' I/O behavior through system call observability 53

Diagnosing applications' I/O behavior through system call ob...

引用

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

作者： Esteves, Tania Macedo, Ricardo Oliveira, Rui Paulo, Joao INESC TEC Porto Portugal U Minho Braga Portugal

ISBN: (纸本)9798350325430

We present DIO, a generic tool for observing inefficient and erroneous I/O interactions between applications and in-kernel storage systems that lead to performance, dependability, and correctness issues. DIO facilitates the analysis and enables near real-time visualization of complex I/O patterns for data-intensive applications generating millions of storage requests. This is achieved by non-intrusively intercepting system calls, enriching collected data with relevant context, and providing timely analysis and visualization for traced events. We demonstrate its usefulness by analyzing two production-level applications. Results show that DIO enables diagnosing resource contention in multi-threaded I/O that leads to high tail latency and erroneous file accesses that cause data loss.

关键词： Storage systems I/O diagnosis tracing analysis

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embedded Flexible Shape Cable for Marine Exploit applications 22

Embedded Flexible Shape Cable for Marine Exploit Application...

引用

22nd international conference on Optical Communications and Networks, ICOCN 2024

作者： Tan, Tao Chai, Quan Tian, Ye Shi, Shan Zhang, Jianzhong Harbin Engineering University Key Lab of In-Fiber Integrated Optics Ministry of Education Harbin150001 China Deep Sea Engineering Technology Research Center Harbin Engineering University Harbin150001 China

ISBN: (纸本)9798350367652

An embedded flexible shape cable has been first proposed and the verification of real-time shape measurement has been achieved. It is produced by sequentially preparing shape sensing units, shape sensing optical cables, and optoelectronic composite cables. Temperature has little effect on shape reconstruction over a long period of time, and the end stability is less than 0.012m. real-time shape measurement is achieved in both vertical and horizontal directions within a range of 4.5 m. The curvature measurement accuracy is 0.05 m1 and the shape reconstruction errors are 3.0% and 1.7%, respectively. The flexible shape cables can be used for shape monitoring in areas such as power transmission cables between islands and flexible pipeline cables for offshore oil and gas resource extraction, improving the safety of marine resource development. © 2024 ieee.

关键词： Marine applications

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Estimation of time Series Databases Performance in Cloud applications for Plastic Moulding Industry 4

Estimation of Time Series Databases Performance in Cloud App...

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4th ieee international conference on Electrical, Computer, and Energy Technologies, ICECET 2024

作者： Veligorskyi, Oleksandr Chakirov, Roustiam Khomenko, Maksym Bonn-Rhein-Sieg University of Applied Sciences Dep. of Engineering and Communication Sankt Augustin Germany Chernihiv Polytechnic National University Radio Engineering and Embedded Systems department Chernihiv Ukraine

ISBN: (纸本)9798350395914

This paper describes the approach for performance estimation of data queries in time series databases, implemented for the remote monitoring and control of injection plastic moulding systems. Experimental setup, structure of InfluxDB database and queries has described. Field experiments of data retrieving have been used to analyse the execution time for the queries as a function of query parameters. The influence of the time interval for the number of output points in query, averaging time and number of channels on time costs has been established. It was shown, that query execution time can be estimated by means of linear function of query parameters. © 2024 ieee.

关键词： Molding

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4th international conference on Soft computing for Security applications, ICSCSA 2024

作者： Roselinkiruba, R. Jude Moses Anto Devakanth, J. Sharmila, L. Vasumathy, M. Misba, M. Saranya Jothi, C. Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology Chennai Avadi India Madanapalle Institute of Technology and Science Department of Computer Applications Andra Pradesh India Department of Information Technology Kingston Engineering College Vellore India

ISBN: (纸本)9798331515720

Steganography is the method that convert data into bits to make it suitable for hiding. While embedding data the factors such as stego image quality and distortion which cannot be observed by the human eyes. The aim of this study is to increase the stego image with good quality. Initially, the image pixels are separated into different bit planes then it is compared with the secret data bit planes using Fruitfly Optimization Improved Hybridized Algorithm Pixel Similarity (FOIS-PS). For that similar pixel Fitness Function (FF) is applied based on the three important criteria such as edge, entropy and correlation. Finally, the data is embedded in the LSB bits based on their Embedding Capacity (EC). Using this method, the size of the input is reduced. Then, the data is embedded based on difference of pixels within each group of similar pixels. Evaluation metrics shows the quality of the stego image is boosted and also reduces the processing time. © 2024 ieee.

关键词： Image quality

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One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices

One-Shot Sparse Neural Architecture Search for Resource-Cons...

引用

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

作者： Shenghui Song Jan-Nico Zaech Seonyeong Heo School of Computing Kyung Hee University Yongin South Korea INSAIT Sofia University Sofia Bulgaria

ISBN: (数字)9798350387957

ISBN: (纸本)9798350387964

Employing high-performance neural network models is challenging for resource-constrained devices as the models require strong computing power and large memory space. One-shot neural architecture search (NAS) helps to find a suitable neural architecture more efficiently by using a single one-shot network that shares weights with sub-networks. However, the existing one-shot NAS methods pay little attention to the sparsity achievable from the one-shot network. Therefore, there still may be room to reduce the resource requirement of the network. This work presents a new one-shot sparse NAS method, which tries to find an optimal sparsity for the network using soft channel masking during the architecture search. The experimental results show that the proposed method can find a more sparse architecture with little accuracy drop.

关键词： Accuracy Computational modeling Neural networks Memory management Machine learning real-time systems

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Online Parameter Identification and State-of-Charge Estimation for Li-Polymer Battery in Unmanned Aerial Vehicle applications 4

Online Parameter Identification and State-of-Charge Estimati...

引用

4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Hao, Yi Du, Rui Wang, Bin Kang, Rong Shanghai Aircraft Design and Research Institute Shanghai China Xi'an Jiaotong University State Key Laboratory for Manufacturing Systems Engineering Xi'an China Space Star Aerospace Technology Applications Co. Ltd. Xi'an China

ISBN: (纸本)9798350366914

Due to the low temperature and temperature variety of high altitude environment, it is very difficult to identify dynamic parameters and achieve an accurate state-of-charge (SOC) estimation for Li-polymer batteries used in unmanned aerial vehicle (UAV) applications. In this paper, a real-time parameter identification method is proposed for a high-power Li-polymer battery used in a multi-rotor UAV. At first, battery model with dynamic parameters is established. Then, the real-time parameter identification method is derived based on a state observer which can track the real-time output voltage of the Li-polymer battery. To demonstrate the effectiveness of the proposed real-time parameter identification method, an actual current profile of the UAV is loaded for testing the real-time output voltage of the Lipolymer battery in the experiment. Finally, simulation and experimental verification are implemented under two temperature conditions, i.e., 0 °C and 15 °C, respectively. Results show that the estimated parameters can quickly converge to suitable values within 200 s. Meanwhile, the Li-polymer battery parameters would change in accordance with different operating temperatures. In addition, based on the real-time parameter identification of the open-circuit voltage of the Li-polymer battery, accurate SOC estimation can be achieved. In UAV applications, the accurate parameter identification and SOC estimation would be very useful for designing the energy management strategy and achieving optimal power output of the Li-polymer battery. © 2024 ieee.

关键词： State of charge

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Distributed systems - Concepts Every Software Architect Should Know 21

Distributed Systems - Concepts Every Software Architect Shou...

引用

21st international conference on Software Architecture (ICSA)

作者： Gorton, Ian Tong, Yingyi Yao, Siyu Northeastern Univ Khoury Coll Comp Sci Seattle WA 98109 USA

ISBN: (纸本)9798350366266;9798350366259

Modern software systems in every application domain are increasingly built as distributed systems. Business applications are structured as cooperating microservices, IoT devices communicate with cloud-based services over a network, and Web sites store data in globally dispersed data centers to support fast access in to localities in which their users reside. Behind all these systems lurk distributed computing infrastructures that architects and engineers must exploit to satisfy application service level agreements. To be successful, it is essential that architects understand the inherent complexity of distributed systems. In this half day tutorial, I'll guide the attendees through the fundamental characteristics that distributed systems exhibit. Each characteristic will be related to the software architecture quality attributes that they directly impact. The topics covered include communications reliability and latencies, message delivery semantics, state management, idempotence, data safety, consistency, time, distributed consensus, cascading failures and failover and recovery. I'll introduce each concept using an example distributed system and multiple 'props' to illustrate concepts. Once I've explained a concept using the example, I'll move on to show how the concept manifests itself in a software system and its effects on quality attributes requirements and inherent trade-offs. The tutorial will be suitable for graduate students, engineers and architects who have no or minimal exposure to distributed systems concepts. The presentation format will be suitable for a mix of both in person and remote participants. It will combine interactive sessions with short technical explanations and examples to illustrate each distributed systems concept.

关键词： distributed systems software architecture

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Energy-Aware Synchronization of Hardware Tasks in Virtualized embedded systems 34

Energy-Aware Synchronization of Hardware Tasks in Virtualize...

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34th international conference on Field-Programmable Logic and applications (FPL)

作者： Wulf, Cornelia Akguen, Goekhan Safarpour, Mehdi Grishchenko, Anastacia Goehringer, Diana Tech Univ Dresden Chair Adapt Dynam Syst Dresden Germany Tech Univ Dresden Ctr Tactile Internet Human In The Loop CeTI Dresden Germany Univ Oulu Ctr Machine Vis & Signal Anal Oulu Finland

ISBN: (纸本)9798331530082;9798331530075

Dynamic Voltage and Frequency Scaling (DVFS) is an effective means to reduce the energy dissipation of digital designs. While on most commodity FPGAs, memory and processor have separately controlled voltages, the programmable logic section relies on a single voltage rail and thus imposes the same voltage for all hardware accelerators that operate concurrently. Finding time slots eligible for voltage scaling gets difficult in virtualized systems, where the FPGA is shared by tasks executed in multiple guest operating systems. The situation gets even more complicated, when error-tolerant tasks are considered that allow the voltage to be reduced below its nominal value, which could provoke a certain rate of faulty hardware accelerator runs. As a solution, we propose a strategy that synchronizes concurrently executed periodic hardware tasks under consideration of their reliability as well as their real-time requirements so that the supply voltage is controlled accordingly. The proposed strategy can be combined with further mechanisms for saving energy. Our run-time module performs clock gating and adjusts the voltage to the requirements of aperiodic tasks. For fault-tolerant tasks, we monitor the error rate using Algorithm Based Fault Tolerance (ABFT) that can detect and characterize errors with an accuracy close to 100%. Compared to a strategy that scales voltage without synchronizing hardware tasks, we achieve in the best case a power saving by 29.4% and an average saving by 7%.

关键词： Dynamic voltage and frequency scaling low power FPGA virtualization hardware task scheduling

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real-time Pill Identification with Prescription Confirmation Using Deep Learning on embedded System 14

Real-Time Pill Identification with Prescription Confirmation...

引用

14th international conference on Ubiquitous and Future Networks, ICUFN 2023

作者： Hsu, Roy Chaoming Su, Po-Cheng National Chiayi University Electrical Engineering Department Chiayi City Taiwan

ISBN: (纸本)9798350335385

In the study, a real-time pill identification with prescription confirmation within medical packaging using deep learning on embedded system is proposed. In this system, multiple pills within a medical packaging for inpatients can be identified using deep learning and confirmed with the doctor's prescription in QR code to avoid error in the packaging process. The system is implemented in an embedded system with GPU for accelerating the identification and confirmation processes. Experimental results of the proposed system using Nvidia's Jetson Nano shown that multiple pills with different color and shapes can be identified and confirmed with doctor's prescription in real time. © 2023 ieee.

关键词： embedded systems

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Demonstrating the Potential of Adaptive LMS Filtering on FPGA-Based Qubit Control Platforms for Improved Qubit Readout in 2D and 3D Quantum Processing Units 5

Demonstrating the Potential of Adaptive LMS Filtering on FPG...

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2024 international conference on Quantum computing and Engineering

作者： Johnson, Hans Bornman, Nicholas Kim, Taeyoon Van Zanten, David Zorzetti, Silvia Saniie, Jafar IIT Dept Elect & Comp Engn Embedded Comp & Signal Proc ECASP Res Lab Chicago IL 60616 USA Fermilab Natl Accelerator Lab Superconducting Quantum Mat & Syst SQMS Ctr Batavia IL 60510 USA Northwestern Univ Dept Phys & Astron Ctr Appl Phys & Superconducting Technol Evanston IL 60208 USA

ISBN: (纸本)9798331541378

Advancements in quantum computing underscore the critical need for sophisticated qubit readout techniques to accurately discern quantum states. This abstract presents our research intended for optimizing readout pulse fidelity for 2D and 3D Quantum Processing Units (QPUs), the latter coupled with Superconducting Radio Frequency (SRF) cavities. Focusing specifically on the application of the Least Mean Squares (LMS) adaptive filtering algorithm, we explore its integration into the FPGA-based control systems to enhance the accuracy and efficiency of qubit state detection by improving Signal-to-Noise Ratio (SNR). Implementing the LMS algorithm on the Zynq UltraScale+ RFSoC Gen 3 devices (RFSoC 4x2 FPGA and ZCU216 FPGA) using the Quantum Instrumentation Control Kit (QICK) open-source platform, we aim to dynamically test and adjust the filtering parameters in real-time to characterize and adapt to the noise profile presented in quantum computing readout signals. Our preliminary results demonstrate the LMS filter's capability to maintain high readout accuracy while efficiently managing FPGA resources. These findings are expected to contribute to developing more reliable and scalable quantum computing architectures, highlighting the pivotal role of adaptive signal processing in quantum technology advancements.

关键词： Quantum computing Adaptive Filters Control Hardware RFSoC FPGA Digital Signal Processing (DSP) Superconducting Qubits

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