Design of Rank Accuracy Detection System for Screw

2010 ◽  
Vol 37-38 ◽  
pp. 331-334
Author(s):  
Zhao Xin Meng ◽  
Zhi Wei Li ◽  
Jun Cao
Keyword(s):  
Laser Interferometer ◽  
Detection System ◽  
Least Square Method ◽  
Solution Procedure ◽  
Least Square ◽  
Error Evaluation ◽  
Evaluation Algorithm ◽  
Low Efficiency ◽  
Frequency Laser ◽  
Static Detection

In view of defects of static detection for screw, such as low efficiency, man made errors, this paper designed a dynamic detecting system, which employs two-frequency laser interferometer as the displacement benchmark and encoder as the angle benchmark. According to the lasting standards, the solution procedure of error evaluation algorithm is optimized by least square method to reduce computation. Experiment shows this system can dynamically detected screw, of which rank accuracy is more than two.

scholarly journals An Enhanced Detection System of Drill Rod Bending Degree Based on Two-Dimensional Laser

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 370
Author(s):  
Lingling Wu ◽  
Guojun Wen ◽  
Yudan Wang ◽  
Xinjian Xu
Keyword(s):  
Detection Method ◽  
Detection System ◽  
Least Square Method ◽  
Least Square ◽  
Two Dimensional ◽  
Optical Inspection ◽  
Section Shape ◽  
Mechanical Bending ◽  
Low Efficiency ◽  
Displacement Based

Drill rod straightness has to be strictly controlled and the maximum bending degree detection needs to be used in the straightening process. The mechanical bending degree measurement depends on machinery instruments and workers’ experience, often with low efficiency and precision. While the optical inspection, as a non-contact detection method, with higher precision and lower installation accuracy requirements, is frequently applied in the online detection system. Based on this, an enhanced bending degree detection system for a drill rod is proposed in this paper. Compared to the existing detection system, the main progress is to use a two-dimensional laser to quickly obtain arc profile data and fit with ellipse. Segment inspection idea is also utilized is this system as the camera that could obtain the whole drill rod in one shot needs extremely high resolution and price. A specialized algorithm is designed to fit the cross-section shape and whole centerline displacement based on the least square method. Some laboratory tests are conducted to verify this detection system, findings of which are compared to manual measured results. The maximum bending degree error is 2.14 mm and the maximum position error is 8.21 mm, which are both within the tolerance of error. Those results show the feasibility and precision of this enhanced detection system.

Quantitative Detection of C2H2 Gas Based on an Infrared Laser Gas Sensor

2015 ◽  
Vol 1092-1093 ◽  
pp. 400-406
Author(s):  
Jia Gui Tao ◽  
Jing Lei Shi ◽  
Xiao Xing Zhang
Keyword(s):  
Gas Sensor ◽  
Volume Fraction ◽  
Detection System ◽  
Least Square Method ◽  
Infrared Laser ◽  
State Assessment ◽  
Least Square ◽  
Transformer Oil ◽  
System Structure ◽  
Quantitative Detection

Detection of C2H2 gas in transformer oil is significant for diagnosing the operating state assessment of power equipment. The paper develops an infrared laser gas sensor to detect the C2H2 gas in transformer oil, and also introduces the system structure in detail. A gas-absorbed laser cell that contains a series of laser reflectors is designed and used in our detection system, which adds the optical path without changing the volume of the cell. 1529.16nm is chosen as the characteristic spectrum line of C2H2 gas, and concentration of C2H2 gas is quantitatively analyzed based on least square method. The experiment result shows that in certain volume fraction range of acetylene, the absorbance has a good linear relationship with the acetylene concentration, and the minimum detection limit for acetylene is 10μL/L. In general, the developed infrared laser gas sensor can detect C2H2 gas in transformer oil effectively.

scholarly journals Least Square Privacy Preserving Technique for Intrusion Detection System

2019 ◽  
Vol 9 (2) ◽  
pp. 2312-2319
Keyword(s):  
Intrusion Detection ◽  
Network Architecture ◽  
Privacy Preservation ◽  
Detection System ◽  
Least Square Method ◽  
Least Square ◽  
Ensemble Classification ◽  
Classification Model ◽  
User Privacy ◽  
Network Intrusion

Network intrusion is a foremost growing concern threat in the cyberspace, which can be damage the network architecture in a multiple ways by modifying the system configuration/parameters. Hackers/Intruders are familiar with signature based intrusion detection models and they are making successful attempts to crash the networks. Hence, it is necessary to preserve user privacy on intrusion data. PPDM techniques forms a necessary but existing techniques such as Encryption, Perturbation, Data Transformation, Normalization, L-Diversity, K-Anonymity methods forms excessive generalization and suppression problems. In this paper, LSPPM distortion technique using Least Square Method with ensemble classification model have been proposed for providing efficient privacy preservation on intrusion data. The proposed methodology is validated on benchmark NSL_KDD intrusion dataset. A comparative analysis of NSL_KDD class attributes is performed for better classification in terms of accuracy, FAR, F-Score and time taken to build LSPPM-NIDS. The experimental results of state-of-art PPDM methods are also analyzed before and after distortion, and privacy measures to ascertain the degree of privacy offered.

scholarly journals Carbon Dioxide Sensor Module Based on NDIR Technology

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 845
Author(s):  
Libing Zhou ◽  
Yaoyi He ◽  
Qing Zhang ◽  
Lei Zhang
Keyword(s):  
Light Propagation ◽  
Detection System ◽  
Coupling Efficiency ◽  
Least Square Method ◽  
Least Square ◽  
Compensation Algorithm ◽  
Dual Channel ◽  
Sensor Module ◽  
Gas Chamber ◽  
Channel Type

In this paper, a gas detection system with an environmental compensation algorithm based on nondispersive infrared (NDIR) technology was designed. The prepared infrared pyroelectric detector was a dual-channel type based on the lithium tantalate (LiTaO3) wafer. The design of the optical gas chamber adopted a combination of two ellipsoids and a spherical top surface, which not only enhanced the coupling efficiency of the light propagation but also facilitated the miniaturization of the sensor module. In addition to this, a temperature and humidity compensation algorithm based on the least square method was proposed to make the measurement accuracy up to ±0.9% full scale (FS).

Parabola Error Evaluation Using Geometry Ergodic Searching Algorithm

2013 ◽  
Vol 333-335 ◽  
pp. 1465-1468
Author(s):  
Hai Yang Wang ◽  
Xian Qing Lei ◽  
Jing Wei Cui
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Geometric Features ◽  
Feature Points ◽  
Error Evaluation ◽  
Profile Error ◽  
Minimum Zone ◽  
Grid Points ◽  
Reference Feature

A method of parabola error evaluation using Geometry Ergodic Searching Algorithm (GESA) was proposed according to geometric features and fitting characteristics of parabola error. First , the feature points of least-squared parabola are set as reference feature points to layout a group of auxiliary feature grid points. After that, a series of auxiliary parabolas as assumed ideal parabolas are reversed with the auxiliary feature points.The range distance from given points to these assumptions ideal parabolas are calculated successively.The minimum one is parabola profile error.The process of GESA was detailed discribed including the algorithm formula and contrastive results in this paper.Simulation experiment results show that the geometry ergodic searching algorithm is more accurate than the least-square method. The parabola profile error can be evaluated steadily and precisely with this algorithm based on the minimum zone.

Direct Assessment of Effective Renal Plasma Flow from Renoscintigraphy with a Gamma Camera and an On-Line Computer

1981 ◽  
Vol 20 (06) ◽  
pp. 274-278
Author(s):  
J. Liniecki ◽  
J. Bialobrzeski ◽  
Ewa Mlodkowska ◽  
M. J. Surma
Keyword(s):  
Count Rate ◽  
Renal Plasma Flow ◽  
Early Period ◽  
Least Square Method ◽  
Least Square ◽  
Uptake Coefficient ◽  
Positive Linear Correlation ◽  
On Line ◽  
Best Fit ◽  
Plasma Activity

A concept of a kidney uptake coefficient (UC) of 131I-o-hippurate was developed by analogy from the corresponding kidney clearance of blood plasma in the early period after injection of the hippurate. The UC for each kidney was defined as the count-rate over its ROI at a time shorter than the peak in the renoscintigraphic curve divided by the integral of the count-rate curve over the "blood"-ROI. A procedure for normalization of both curves against each other was also developed. The total kidney clearance of the hippurate was determined from the function of plasma activity concentration vs. time after a single injection; the determinations were made at 5, 10, 15, 20, 30, 45, 60, 75 and 90 min after intravenous administration of 131I-o-hippurate and the best-fit curve was obtained by means of the least-square method. When the UC was related to the absolute value of the clearance a positive linear correlation was found (r = 0.922, ρ > 0.99). Using this regression equation the clearance could be estimated in reverse from the uptake coefficient calculated solely on the basis of the renoscintigraphic curves without blood sampling. The errors of the estimate are compatible with the requirement of a fast appraisal of renal function for purposes of clinical diagknosis.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

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