FASTKIT—A Software Tool for Easy Design Visibility and Diagnostic Enhancement for Failure Analysis

2015 ◽  
Author(s):  
Etienne Auvray ◽  
Paul Armagnat
Keyword(s):  
Failure Analysis ◽  
Real Time ◽  
Software Tool ◽  
Measure Data ◽  
Software Suite ◽  
Laboratory Environment ◽  
Design Database ◽  
Analytical Tools

Abstract The present work is relative to a new software suite that features design comprehension and analogic/logic tracing capability with ease of setup in FA laboratory environment. It also expands and correlates FA measure data to design functionality. With this visibility enhanced environment, we show that FA process can be performed more efficiently. Up to now, very few systems have been built with aim to cover advanced diagnosis setup and real-time navigation with synchronized simulation. We address a general FA software tool which purpose is to automate the design database setup and provide to FA engineer capability to launch reading of all design database including capability of generating new patterns compatible with analytical tools. Based on the flow, we propose a series of tools that will allow the FA engineer to work efficiently.

Yield Enhancement Using a Combination of Wafer Level Failure Analysis and Defect Isolation Software: Case Studies

2008 ◽  
Author(s):  
Pierre Simon ◽  
Michel Thétiot ◽  
Bernard Picart ◽  
Cathy Kardach ◽  
Herve Deslandes ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Real Time ◽  
Case Studies ◽  
Thermal Emission ◽  
Yield Enhancement ◽  
Wafer Level ◽  
Software Suite ◽  
Time Resolved ◽  
Defect Isolation ◽  
Emission Microscopy

Abstract Yield enhancement has always been an important topic but even more when processes are moving towards smaller geometries. Today, latest FA flow intends to check wafer quality to monitor production in real-time. The purpose is to adjust any derivation coming from the process as fast as possible. The Atmel-CIMPACA laboratory located in Rousset, France, can do Failure Analysis on wafer, thanks to its wafer prober designed to work on DCG systems equipment and integrated CAD software (Meridian, Emiscope, NEXS software suite). Wafer level yield analysis typically requires long setup and multiple dies analysis. Each of the die can be studied with a set a failure analysis (FA) techniques (photo or thermal) emission microscopy [1], laser stimulation techniques [2] or even dynamic probing using time resolved emission [3],[4] or laser based techniques, for the most common ones [5].

Submicron Simultaneous IR and Raman Spectroscopy (IR+Raman): Breakthrough Developments in Optical Photothermal IR (O-PTIR) Combined for Enhanced Failure Analysis

2019 ◽  
Author(s):  
Jay Anderson ◽  
Mustafa Kansiz ◽  
Michael Lo ◽  
Curtis Marcott
Keyword(s):  
Raman Spectroscopy ◽  
Failure Analysis ◽  
Data Quality ◽  
Raman Spectra ◽  
Spatial Resolution ◽  
Far Field ◽  
Field Mode ◽  
Microscopic Scale ◽  
Analytical Tools ◽  
Ir And Raman

Abstract Failure analysis of organics at the microscopic scale is an increasingly important requirement, with traditional analytical tools such as FTIR and Raman microscopy, having significant limitations in either spatial resolution or data quality. We introduce here a new method of obtaining Infrared microspectroscopic information, at the submicron level in reflection (far-field) mode, called Optical-Photothermal Infrared (O-PTIR) spectroscopy, that can also generate simultaneous Raman spectra, from the same spot, at the same time and with the same spatial resolution. This novel combination of these two correlative techniques can be considered to be complimentary and confirmatory, in which the IR confirms the Raman result and vice-versa, to yield more accurate and therefore more confident organic unknowns analysis.

scholarly journals FusionCatcher - a tool for finding somatic fusion genes in paired-end RNA-sequencing data

2014 ◽  
Author(s):  
Daniel Nicorici ◽  
Mihaela Satalan ◽  
Henrik Edgren ◽  
Sara Kangaspeska ◽  
Astrid Murumagi ◽  
...  
Keyword(s):  
Real Time ◽  
Tumor Cells ◽  
Rna Sequencing ◽  
Real Time Pcr ◽  
Software Tool ◽  
Fusion Genes ◽  
Sequencing Data ◽  
Detection Rates ◽  
Somatic Fusion

FusionCatcher is a software tool for finding somatic fusion genes in paired-end RNA-sequencing data from human or other vertebrates. FusionCatcher achieves competitive detection rates and real-time PCR validation rates in RNA-sequencing data from tumor cells. FusionCatcher is available at http://code.google.com/p/fusioncatcher

Real-Time Mexican Satellite Space Launch Center Failure Model, System Design and Failure Analysis

2015 ◽  
pp. 201-210
Author(s):  
Omar Ariosto Niño Prieto ◽  
Luis Enrique Colmenares Guillén ◽  
Jose Areli Carrera Román
Keyword(s):  
Failure Analysis ◽  
System Design ◽  
Real Time ◽  
Model System ◽  
Failure Model ◽  
Space Launch

Approach to real time attack detection on the base of simulation and graph oriented modeling

2021 ◽  
Vol 7 ◽  
Author(s):  
V.A. Desnitsky ◽  
Keyword(s):  
Real Time ◽  
Software Tool ◽  
Attack Detection ◽  
Suitable Model ◽  
Distinctive Features ◽  
Detection Process ◽  
Detection Model ◽  
Security Incidents

The article presents an approach to detecting attacks in real time based on simulation and graph-oriented mod- eling. The detection process is performed in a mode close to real-time with the ability to promptly detect known types of security incidents. The distinctive features of the approach include the multidimensional nature of attack detection with the ability to select a specific type of simulation and graph-oriented attack detection model with their subsequent combination. In addition, within the practical part of the work, a software tool has been developed to select the most suitable model apparatus for detecting attacks of each type.

Basin-Scale, Real-Time Salinity Management Using Telemetered Sensor Networks and Model-Based Salt Assimilative Capacity Forecasts

2016 ◽  
pp. 193-220
Author(s):  
Nigel W.T. Quinn ◽  
Roberta Tassey ◽  
Jun Wang
Keyword(s):  
Real Time ◽  
Software Tool ◽  
Sensor Data ◽  
Quality Data ◽  
Monitoring Site ◽  
Data Quality Management ◽  
Web Based ◽  
Web Access ◽  
State Water ◽  
Salinity Management

This chapter describes a new approach to environmental decision support for salinity management in the San Joaquin Basin that focuses on Web-based data sharing using tools such as YSI Econet and continuous data quality management using an enterprise-level software tool WISKI. These tools offer real-time Web-access to sensor data as well as providing the owner full control over the way the data is visualized. The same websites use GIS to superimpose the monitoring site locations on maps of local hydrography and allow point and click access to the data collected at each environmental monitoring site. This information technology suite of software and hardware work together with a watershed simulation model WARMF-SJR to provide timely, reliable, and high quality data and forecasts of river salinity that can used by stakeholder decision makers to ensure compliance with state water quality objectives.

Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

2021 ◽  
pp. 257-271
Author(s):  
Pushpa Singh ◽  
Rajeev Agrawal
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Research Work ◽  
Software Tool ◽  
Knn Classifier ◽  
User Expectations

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.

Basin-Scale, Real-Time Salinity Management Using Telemetered Sensor Networks and Model-Based Salt Assimilative Capacity Forecasts

2015 ◽  
pp. 89-117
Author(s):  
Nigel W.T. Quinn ◽  
Roberta Tassey ◽  
Jun Wang
Keyword(s):  
Real Time ◽  
Software Tool ◽  
Sensor Data ◽  
Quality Data ◽  
Monitoring Site ◽  
Data Quality Management ◽  
Web Based ◽  
Web Access ◽  
State Water ◽  
Salinity Management

This chapter describes a new approach to environmental decision support for salinity management in the San Joaquin Basin that focuses on Web-based data sharing using tools such as YSI Econet and continuous data quality management using an enterprise-level software tool WISKI. These tools offer real-time Web-access to sensor data as well as providing the owner full control over the way the data is visualized. The same websites use GIS to superimpose the monitoring site locations on maps of local hydrography and allow point and click access to the data collected at each environmental monitoring site. This information technology suite of software and hardware work together with a watershed simulation model WARMF-SJR to provide timely, reliable, and high quality data and forecasts of river salinity that can used by stakeholder decision makers to ensure compliance with state water quality objectives.

scholarly journals An Approach of Failure-Analysis for the Real-Time Fire Reconnaissance Satellite-Monitoring System

2013 ◽  
Vol 6 (4) ◽  
Author(s):  
Omar Ariosto Niño Prieto ◽  
Luis Enrique Colmenares-Guillén ◽  
Edilberto Huerta Niño ◽  
Aldo Enrique Aguila Jurado
Keyword(s):  
Failure Analysis ◽  
Real Time ◽  
Monitoring System ◽  
Satellite Monitoring ◽  
The Real
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