SERVICE PROVISIONING USING ALGORITHM OF STRUCTURE STABILITY IN VIRTUALIZED DATA CENTER BASED ОN CLOUD TECHNOLOGY
Information and communication technologies, electronic engineering(2024)
Abstract
The informative signal of the vast majority of sensors on piezoelectric transducers is the ToF (Time-of-Flight) of ultrasonic oscillations, and its formation is realized by measuring the delay between the pulses of oscillations emitted by the actuator and the pulses of these oscillations received by the sensor. However, the processes of forming this informative signal and the electronic means of implementing these processes are characterized by a significant influence of extraneous factors, the compensation of which is largely problematic. Following this problem, this work solves the problem of embedded self-diagnosis of piezoelectric sensors signal converters. Methods of intellectualization of measurement processes are used based on the redundancy theory and its further development in the field of redundancy information theory, measuring technology, and sensors. It is proposed to supplement the input signal path of the sensor device with a specialized circuit for activating self-oscillations of the piezoelectric transducer. The proposed method is based on the monitoring of transient processes and oscillations at the frequency of natural oscillations of piezoelectric transducers during periodic switching of the latter to the input of the transimpedance amplifier TIA. In accordance with the proposed solution, the transimpedance amplifier is used to form damping self-oscillations, the frequency, amplitude and decay rate of which are monitored by the drift of the parameters of the piezoelectric transducer. The task of optimizing the operation modes of the circuit unit based on the transimpedance amplifier based on the criterion of maximum efficiency in the formation of an informative signal of the stability of the operation of piezoelectric transducers has been solved. The signal path of the built-in system of ultrasonic piezoelectric sensors with the self-diagnosis function UCQD (U-sound Front-end with in-situ CQ Diagnostic) is implemented using a programmable system on a PSoC (Programmable System on Chip) PSoC 5LP series (Cypres, Infineon Technologies).
MoreTranslated text
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined