Combining co-clustering with noise detection for theme-based summarization

2013 ◽  
Vol 10 (4) ◽  
pp. 1-27 ◽  
Author(s):  
Xiaoyan Cai ◽  
Wenjie Li ◽  
Renxian Zhang
Keyword(s):  
Noise Detection

Validity-Study of Commercial Semiconductor with TO-18 Package for Space Application by PIND Test

2013 ◽  
Author(s):  
Yusuke Nakatake ◽  
Makoto Okabe ◽  
Shota Sato
Keyword(s):  
Industrial Applications ◽  
Validity Study ◽  
Space Application ◽  
Noise Detection ◽  
Foreign Material ◽  
Contamination Control ◽  
X Ray ◽  
Impact Noise ◽  
Report Analysis ◽  
Foreign Materials

Abstract In this paper, we carried out PIND (Particle Impact Noise Detection) test and X-ray inspection of a transistor in a TO-18 package for commercial and industrial applications. From our evaluation results, we explain the validity of the PIND test by comparing PIND test and X-ray inspection results. We make clear that PIND test is able to detect internal foreign material that may be transparent to X-ray inspection. In addition, we report analysis results of internal foreign materials from defective devices. This matter suggests that a problem is contamination control in the manufacturing process, most likely the sealing process.

Acoustic emission-based flow noise detection and mechanism analysis for gas-liquid two-phase flow

Measurement ◽  
2021 ◽  
pp. 109480
Author(s):  
Ning Zhao ◽  
Chaofan Li ◽  
Huijun Jia ◽  
Fan Wang ◽  
Zhiyue Zhao ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Mechanism Analysis ◽  
Noise Detection ◽  
Two Phase ◽  
Flow Noise

Research on Several Key Techniques of Power Tool Rest Noise Detection System

2012 ◽  
Vol 630 ◽  
pp. 271-275
Author(s):  
Xiao Hong Lu ◽  
Yong Yan Shang ◽  
Peng Zhuo Han ◽  
Guang Jun Li ◽  
Wen Yi Wu
Keyword(s):  
Spectrum Analysis ◽  
Detection Method ◽  
Detection System ◽  
Sampled Data ◽  
Noise Detection ◽  
Machining Center ◽  
Cnc Lathe ◽  
Spectrum Transformation ◽  
Key Techniques

The scarcity and imperfection of power tool rest noise detection method have seriously limited the development of the industry of CNC lathe, lathe and milling composite machining center. A noise detection system based on LabVIEW is developed. The developed system adopts a noise sensor as noise detection component to test the noise information of the power tool rest. To enhance the anti-interference ability of this system, the sampled signals are amplified and adjusted by the signal disposal instrument. Through the spectrum transformation and spectrum analysis of the sampled noise signals, the noise causes of the power tool rest can be inquired and the concerned measurements can be taken to reduce the noise effectively. Finally, the sampled data is stored by the data saving function.

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