The Design of Network Query System for Automobile Inspection Data

2021 ◽  
Author(s):  
Bo Ma ◽  
Kuncheng Zhuo ◽  
Zanyou Su ◽  
Donghai Huang ◽  
Yonglong Zou
Keyword(s):  
Query System ◽  
Inspection Data

Advanced Scan Diagnosis Based Fault Isolation and Defect Identification for Yield Learning

2005 ◽  
Author(s):  
Chris Eddleman ◽  
Nagesh Tamarapalli ◽  
Wu-Tung Cheng
Keyword(s):  
Failure Analysis ◽  
Fault Location ◽  
Effective Means ◽  
Fault Isolation ◽  
Yield Enhancement ◽  
Yield Analysis ◽  
Isolation Techniques ◽  
Yield Learning ◽  
Time Required ◽  
Inspection Data

Abstract Yield analysis of sub-micron devices is an ever-increasing challenge. The difficulty is compounded by the lack of in-line inspection data as many companies adopt foundry or fab-less models for acquiring wafers. In this scenario, failure analysis is increasingly critical to help drive yields. Failure analysis is a process of fault isolation, or a method of isolating failures as precisely as possible followed by identification of a physical defect. As the number of transistors and metal layers increase, traditional fault isolation techniques are less successful at isolating a cause of failures. Costs are increasing due to the amount of time needed to locate the physical defect. One solution to the yield analysis problem is scan diagnosis based fault isolation. Previous scan diagnosis based techniques were limited with little information about the type of fault and confidence of diagnosis. With new scan diagnosis algorithms it is now possible to not only isolate, but to identify the type of fault as well as assigning a confidence ranking prior to any destructive analysis. This paper presents multiple case studies illustrating the application of scan diagnosis as an effective means to achieve yield enhancement. The advanced scan diagnostic tool used in this study provides information about the fault type as well as fault location. This information focuses failure analysis efforts toward a suspected defect, decreasing the cycle time required to determine root cause, as well as increasing the over all success rate.

scholarly journals Research on the Status Quo of In-use vehicle Environmental Protection Regular Inspection in Tangshan

2020 ◽  
Vol 165 ◽  
pp. 06059
Author(s):  
Xiaowen Zhang ◽  
Jiguang Wang ◽  
Zhenyu Bai
Keyword(s):  
Environmental Protection ◽  
Weighted Average ◽  
Status Quo ◽  
Project Team ◽  
Inspection Method ◽  
The Status ◽  
Inspection Data ◽  
Qualification Rate

The project team collected more than 1 million in-use vehicles environmental protection regular inspection data for analysis, the data of annual inspection in Tangshan area are sorted out and analyzed, the conclusion is as follows: 1. The weighted average qualification rate of each inspection method for in-use vehicles in Tangshan was 87.9%. 2. The weighted average qualification rate of different emission stages of VMAS is 88.7%, the weighted average qualification rate of different emission stages of TSIC is 93.9%, the weighted average qualification rate of FRAC in different emission stages is 98.3%, and the weighted average qualification rate of LUGDOWN in different emission stages is 77.8%. 3. After the implementation of the new standard, the qualified rate of TSIC and LUGDOWN in Tangshan will be greatly reduced, but it has little influence on the qualified rate of VAMS and FA.

Of lions and Yakshis

Semantic Web ◽  
2020 ◽  
pp. 1-21
Author(s):  
Franziska Pannach ◽  
Caroline Sporleder ◽  
Wolfgang May ◽  
Aravind Krishnan ◽  
Anusharani Sewchurran
Keyword(s):  
Knowledge Base ◽  
Case Studies ◽  
Narrative Structure ◽  
Function Class ◽  
Special Focus ◽  
Cultural Backgrounds ◽  
Class Hierarchy ◽  
Invariant Functions ◽  
Narrative Functions ◽  
Query System

Vladimir Propp’s theory Morphology of the Folktale identifies 31 invariant functions, subfunctions, and seven classes of folktale characters to describe the narrative structure of the Russian magic tale. Since it was first published in 1928, Propp’s approach has been used on various folktales of different cultural backgrounds. ProppOntology models Propp’s theory by describing narrative functions using a combination of a function class hierarchy and characteristic relationships between the Dramatis Personae for each function. A special focus lies on the restrictions Propp defined regarding which Dramatis Personae fulfill a certain function. This paper investigates how an ontology can assist traditional Humanities research in examining how well Propp’s theory fits for folktales outside of the Russian–European folktale culture. For this purpose, a lightweight query system has been implemented. To determine how well both the annotation schema and the query system works, twenty African tales and fifteen tales from the Kerala region in India were annotated. The system is evaluated by examining two case studies regarding the representation of characters and the use of Proppian functions in African and Indian tales. The findings are in line with traditional analogous Humanities research. This project shows how carefully modelled ontologies can be utilized as a knowledge base for comparative folklore research.

The KIM query system

1994 ◽  
Vol 26 (3) ◽  
pp. 30-39 ◽  
Author(s):  
Fabrizio Massimo Ferrara
Keyword(s):  
Query System

A Review of Crack Detection In-Line Inspection Case Studies

2010 ◽  
Author(s):  
Neil Bates ◽  
David Lee ◽  
Clifford Maier
Keyword(s):  
Crack Growth ◽  
Case Studies ◽  
Crack Detection ◽  
Growth Parameters ◽  
Probability Distributions ◽  
Low Frequency ◽  
Probability Of Failure ◽  
Probability Of Detection ◽  
Inspection Data

This paper describes case studies involving crack detection in-line inspections and fitness for service assessments that were performed based on the inspection data. The assessments were used to evaluate the immediate integrity of the pipeline based on the reported features and the long-term integrity of the pipeline based on excavation data and probabilistic SCC and fatigue crack growth simulations. Two different case studies are analyzed, which illustrate how the data from an ultrasonic crack tool inspection was used to assess threats such as low frequency electrical resistance weld seam defects and stress corrosion cracking. Specific issues, such as probability of detection/identification and the length/depth accuracy of the tool, were evaluated to determine the suitability of the tool to accurately classify and size different types of defects. The long term assessment is based on the Monte Carlo method [1], where the material properties, pipeline details, crack growth parameters, and feature dimensions are randomly selected from certain specified probability distributions to determine the probability of failure versus time for the pipeline segment. The distributions of unreported crack-related features from the excavation program are used to distribute unreported features along the pipeline. Simulated crack growth by fatigue, SCC, or a combination of the two is performed until failure by either leak or rupture is predicted. The probability of failure calculation is performed through a number of crack growth simulations for each of the reported and unreported features and tallying their respective remaining lives. The results of the probabilistic analysis were used to determine the most effective and economical means of remediation by identifying areas or crack mechanisms that contribute most to the probability of failure.

scholarly journals Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

2015 ◽  
Vol 15 (1) ◽  
pp. 129-152 ◽  
Author(s):  
Ahmet Soylu ◽  
Martin Giese ◽  
Ernesto Jimenez-Ruiz ◽  
Guillermo Vega-Gorgojo ◽  
Ian Horrocks
Keyword(s):  
End Users ◽  
Visual Query ◽  
Query System

Inline Inspection: Both Effective Data Collection and Interpretation Needed to Achieve High Quality Reporting Results

2010 ◽  
Author(s):  
James R. Walker ◽  
Paul Mallaburn ◽  
Derek Balmer
Keyword(s):  
Financial Risk ◽  
Service Providers ◽  
Holistic Approach ◽  
Poor Quality ◽  
International Standards ◽  
Quality Reporting ◽  
Certification Standard ◽  
Consensus Standard ◽  
Inspection Data

Historically, pipeline operators have tended to place more weight on inline inspection tool specifications than on the inherent design and reporting capabilities of the service providers themselves. While internal collection of integrity data is very important, it’s imperative that vendors, also, have high levels of expertise and effective quality control systems in place to successfully analyze exceedingly high volumes of inspection data. The quality of inspection information is vital to assessing if a pipeline is fit for purpose now and/or into the future. Integrity managers attempting to reduce overall operating risk by making decisions based on inaccurate or poor quality reporting are in fact exposing their networks to greater safety and financial risk. Recognizing these risks and that inline inspection (ILI) is an overall system that needs to be formally qualified, operators and ILI service providers have collaborated to develop several international standards. The most recent is the umbrella API-1163 industry consensus standard, which is now being widely adopted, primarily in USA. This standard provides requirements and recommended practices for qualification of the entire ILI process. Two companion standards: ASNT In-line Personnel Qualification and Certification Standard No. ILI-PQ and NACE Recommended Practice In-Line Inspection of Pipelines RP0102 combine to address specific requirements for personnel who operate and analyze the results of ILI systems. In Europe, the Pipeline Operators Forum (POF) has, also, established specific requirements for ILI reporting processes and data formats. However, these standards do not define how operators and vendors must meet these requirements. To follow will be a story about how an ILI service provider embraced a holistic approach to address these standards’ requirements, in particular in the areas of data analysis, reporting, and dig verification due to their significant importance in assuring the final quality of its deliverables. A key outcome desired will be to provide operators with greater insight into what best practices and technologies ILI service providers should have embraced and invested in to insure reliable service delivery.

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