Precision Data

2018 ◽  
pp. 263-326
Author(s):  
Jules J. Berman
Keyword(s):  
Precision Data

Boiling Point Precision Data for SAE Brake Fluids

1969 ◽  
Author(s):  
Ramsey B. Broadwater ◽  
Michael Neale
Keyword(s):  
Boiling Point ◽  
Precision Data

Design and Implement of High-Accuracy On-Line Metal Thickness Measuring Instrument Based on NiosII Processor

2013 ◽  
Vol 834-836 ◽  
pp. 930-934
Author(s):  
Shou Liang Yang ◽  
Bao Liang Yang
Keyword(s):  
Eddy Current ◽  
Low Cost ◽  
High Accuracy ◽  
Resolving Power ◽  
Current Sensor ◽  
Measuring Instrument ◽  
Precision Data ◽  
Eddy Current Sensor ◽  
Metal Thickness ◽  
On Line

The paper proposes a new design of high-accuracy On-line Metal Thickness Measuring Instrument, which was based on EP2C20 series FPGA chip, through adding NiosII soft processor and other interfaces to FPGA, equipped with high precision data collection system and TFT LCD module and so on. The key hardware blocks schematics and components of the RC Oscillation Circuit,eddy current sensor Circuit,rectifier and filter Circuit,A/D converting circuit,FPGA Circuit are described,software flow charts and sample codes are given. According to practice, The measurement range of this system is 1~100 mm and the resolving power is 0.1 μm. degree of linearity is 1%, The system has many features including small volume of hardware, low cost, high detecting precision, convenient operating, high intelligent and so on, leading to broad and bright future. Key words: NiosII processor; eddy current sensor; metal thickness

Identification and Quantification of Metamizole in Traditional Herbal Medicines using Spectroscopy FTIR-ATR combined with Chemometrics

2021 ◽  
pp. 4413-4419
Author(s):  
Dharmastuti Cahya Fatmarahmi ◽  
Ratna Asmah Susidarti ◽  
Respati Tri Swasono ◽  
Abdul Rohman
Keyword(s):  
Discriminant Analysis ◽  
Herbal Medicine ◽  
Ftir Spectroscopy ◽  
Herbal Medicines ◽  
Principal Component ◽  
Attenuated Total Reflection ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Precision Data

The study aims to develop an effective, efficient, and reliable method using Fourier Transform Infrared (FTIR) spectroscopy with Attenuated Total Reflection (ATR) combined with chemometric for identifying the synthetic drug in Indonesian herbal medicine known as Jamu. Jamu powders, Metamizole, and the binary mixture of Jamu and Metamizole were measured using FTIR-ATR at the mid-infrared region (4000-650 cm-1). The obtained spectra profiles were further analyzed by Principal Component Analysis, Partial Least Square Regression, Principal Component Regression, and Discriminant Analysis. Jamu Pegel Linu (JPL), Jamu Encok (JE), Jamu Sakit Pinggang (JSP), Metamizole (M), and adulterated Jamu by Metamizole were discriminated well on PCA score plot. PLSR and PCR showed the accuracy and precision data to quantify JPL, JE, and JSP, and each adulterated by M with R2 value > 0,995 and low value of RMSEC and RMSEP. Discriminant Analysis (DA) was successfully grouping Jamu and Metamizole without any misclassification. A combination of FTIR spectroscopy and chemometrics offered useful tools for detecting Metamizole in traditional herbal medicine.

Research on Fault Diagnosis Based on BP-SOM Hybrid Algorithms for NC Machine

2012 ◽  
Vol 544 ◽  
pp. 32-37 ◽  
Author(s):  
Chao Deng ◽  
Wen Long Dong ◽  
Yuan Hang Wang ◽  
Yao Xiong
Keyword(s):  
Fault Diagnosis ◽  
Manufacturing Industry ◽  
Hybrid Algorithms ◽  
Basic Data ◽  
Precision Data ◽  
The Real ◽  
Simulation Output ◽  
Nc Machine

NC machines are more and more widely used in manufacturing industry. As the key equipments in the factory, NC machines should be closely monitored to avoid faults. Therefore, the research on multi-function diagnosis based on BP-SOM is discussed for NC machine in the paper. Taking the precision data as the basic data for diagnosis, the research used BP and SOM algorithms to build up diagnosis models. As a result, the research has accomplished the diagnosing process and acquires good simulation output, which resembles with the real fact.

scholarly journals Deep learning-aided high-precision data detection for massive MU-MIMO systems

2021 ◽  
Vol 336 ◽  
pp. 04007
Author(s):  
Sen Yang ◽  
Zerun Li ◽  
Jinhui Wei ◽  
Zuocheng Xing
Keyword(s):  
Mimo Systems ◽  
Detection Algorithm ◽  
Iterative Detection ◽  
Data Detection ◽  
Wireless System ◽  
Precision Data ◽  
Efficient Detection ◽  
High Precision Data ◽  
Complexity Cost ◽  
Iteration Parameters

The data detector for future wireless system needs to achieve high throughput and low bit error rate (BER) with low computational complexity. In this paper, we propose a deep neural networks (DNNs) learning aided iterative detection algorithm. We first propose a convex optimization-based method for calculating the efficient detection of iterative soft output data, and then propose a method for adjusting the iteration parameters using the powerful data driven by DNNs, which achieves fast convergence and strong robustness. The results show that the proposed method can achieve the same performance as the known algorithm at a lower computation complexity cost.

Sign in / Sign up

Export Citation Format

Share Document