Practice for Intralaboratory Quality Control Procedures and a Discussion on Reporting Low-Level Data

1996 ◽  
Author(s):  
Keyword(s):  
Quality Control ◽  
Low Level ◽  
Level Data ◽  
Control Procedures

Studies and Application of Auger Monitoring System for Quality Control and Assurance of Al Bondpads

2016 ◽  
Author(s):  
Hua Younan
Keyword(s):  
Quality Control ◽  
Sample Preparation ◽  
Monitoring System ◽  
Failure Mechanisms ◽  
Wafer Fabrication ◽  
Contamination Level ◽  
Auger Analysis ◽  
Low Level ◽  
Monitoring Frequency ◽  
Control Procedures

Abstract In wafer fabrication (Fab), Fluorine (F) based gases are used for Al bondpad opening process. Thus, even on a regular Al bondpad, there exists a low level of F contamination. However, the F level has to be controlled at a lower level. If the F level is higher than the control/spec limits, it could cause F-induced corrosion and Al-F defects, resulting in pad discoloration and NSOP problems. In our previous studies [1-5], the theories, characteristics, chemical and physical failure mechanisms and the root causes of the F-induced corrosion and Al-F defects on Al bondpads have been studied. In this paper, we further study F-induced corrosion and propose to establish an Auger monitoring system so as to monitor the F contamination level on Al bondpads in wafer fabrication. Auger monitoring frequency, sample preparation, wafer life, Auger analysis points, control/spec limits and OOC/OOS quality control procedures are also discussed.

scholarly journals Low-level detection of language-level data races with LARD

2014 ◽  
Vol 42 (1) ◽  
pp. 671-686 ◽  
Author(s):  
Benjamin P. Wood ◽  
Luis Ceze ◽  
Dan Grossman
Keyword(s):  
Low Level ◽  
Language Level ◽  
Level Data ◽  
Data Races

Image retrieval of MRI brain tumour images based on SVM and FCM approaches

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sonia Bansal ◽  
Vineet Mehan
Keyword(s):  
Image Retrieval ◽  
Medical Image ◽  
Elevated Level ◽  
Critical Level ◽  
Support Vector ◽  
Resonance Imaging ◽  
Power Structures ◽  
Low Level ◽  
Mri Brain ◽  
Level Data

Abstract Objectives The key test in Content-Based Medical Image Retrieval (CBMIR) frameworks for MRI (Magnetic Resonance Imaging) pictures is the semantic hole between the low-level visual data caught by the MRI machine and the elevated level data seen by the human evaluator. Methods The conventional component extraction strategies centre just on low-level or significant level highlights and utilize some handmade highlights to diminish this hole. It is important to plan an element extraction structure to diminish this hole without utilizing handmade highlights by encoding/consolidating low-level and elevated level highlights. The Fleecy gathering is another packing technique, which is applied in plan depiction here and SVM (Support Vector Machine) is applied. Remembering the predefinition of bunching amount and enlistment cross-section is until now a significant theme, a new predefinition advance is extended in this paper, in like manner, and another CBMIR procedure is suggested and endorsed. It is essential to design a part extraction framework to diminish this opening without using painstakingly gathered features by encoding/joining low-level and critical level features. Results SVM and FCM (Fuzzy C Means) are applied to the power structures. Consequently, the incorporate vector contains all the objectives of the image. Recuperation of the image relies upon the detachment among request and database pictures called closeness measure. Conclusions Tests are performed on the 200 Image Database. Finally, exploratory results are evaluated by the audit and precision.

scholarly journals Low-level detection of language-level data races with LARD

2014 ◽  
Vol 49 (4) ◽  
pp. 671-686 ◽  
Author(s):  
Benjamin P. Wood ◽  
Luis Ceze ◽  
Dan Grossman
Keyword(s):  
Low Level ◽  
Language Level ◽  
Level Data ◽  
Data Races

Advantages and Disadvantages of Nephelometric Measurement of Serum Lipids

1974 ◽  
Vol 20 (4) ◽  
pp. 502-504 ◽  
Author(s):  
Daniel M Baer
Keyword(s):  
Quality Control ◽  
Serum Lipids ◽  
Serum Triglyceride ◽  
Chemical Methods ◽  
Unstable Material ◽  
Advantages And Disadvantages ◽  
Control Procedures ◽  
Frequent Problem

Abstract Several technical difficulties diminish the usefulness of serum triglyceride estimation by the method of Stone and Thorp [Clin. Chim. Acta 14, 812 (1966)]. An artificial and somewhat unstable material is used in the standardization. Falsely elevated readings caused by scratched cuvettes are a frequent problem. Conventional quality-control procedures cannot be used because stable preparations are not available. Specimen stability is a greater problem than with conventional chemical methods. In spite of these difficulties, the method can be useful, if its limitations are recognized, in measurements made on nonfasting individuals.

Sign in / Sign up

Export Citation Format

Share Document