Use of life-test data analysis methodology for analyzing undesirable habitual behavior

1979 ◽  
Author(s):  
Nancy R. Mann ◽  
◽  
2006 ◽  
Vol 35 (10) ◽  
pp. 1803-1814 ◽  
Author(s):  
Won Young Yun ◽  
Eun Suk Kim ◽  
Ji Hwan Cha

2020 ◽  
Vol 3 (2) ◽  
pp. 35
Author(s):  
Sigit Trimayanto ◽  
Dian Novita

This study aims to produce the Practical KIT along with its devices that are effectively used as learning media to train students SPS on the sub material of the Reaction Rate Law. The method used in this study is Research and Development design. The research instrument used consisted of a sheet of pre-test and post-test. Data analysis was carried out in descriptive quantitative to determine the effectiveness of Practical KIT along with the devices developed. The media is said to be effective if it meets 2 requirements, namely the percentage of classical completeness <85% and N-gain value <0.3. The developed media has been declared effective as indicated by the increase in the value of cognitive learning outcomes in the "Medium" and "High" categories with 100% classical completeness, an increase in the value of science process skills of students after using the Practical KIT media. "With classical completeness reaching 91.67%.


Author(s):  
Rommel Estores ◽  
Pascal Vercruysse ◽  
Karl Villareal ◽  
Eric Barbian ◽  
Ralph Sanchez ◽  
...  

Abstract The failure analysis community working on highly integrated mixed signal circuitry is entering an era where simultaneously System-On-Chip technologies, denser metallization schemes, on-chip dissipation techniques and intelligent packages are being introduced. These innovations bring a great deal of defect accessibility challenges to the failure analyst. To contend in this era while aiming for higher efficiency and effectiveness, the failure analysis environment must undergo a disruptive evolution. The success or failure of an analysis will be determined by the careful selection of tools, data and techniques in the applied analysis flow. A comprehensive approach is required where hardware, software, data analysis, traditional FA techniques and expertise are complementary combined [1]. This document demonstrates this through the incorporation of advanced scan diagnosis methods in the overall analysis flow for digital functionality failures and supporting the enhanced failure analysis methodology. For the testing and diagnosis of the presented cases, compact but powerful scan test FA Lab hardware with its diagnosis software was used [2]. It can therefore easily be combined with the traditional FA techniques to provide stimulus for dynamic fault localizations [3]. The system combines scan chain information, failure data and layout information into one viewing environment which provides real analysis power for the failure analyst. Comprehensive data analysis is performed to identify failing cells/nets, provide a better overview of the failure and the interactions to isolate the fault further to a smaller area, or to analyze subtle behavior patterns to find and rationalize possible faults that are otherwise not detected. Three sample cases will be discussed in this document to demonstrate specific strengths and advantages of this enhanced FA methodology.


2012 ◽  
Author(s):  
Dominic Piro ◽  
Kyle A. Brucker ◽  
Thomas T. O'Shea ◽  
Donald Wyatt ◽  
Douglas Dommermuth ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
pp. 343-356
Author(s):  
Snezana Savoska ◽  
Blagoj Ristevski

AbstractNowadays, big data is a widely utilized concept that has been spreading quickly in almost every domain. For pharmaceutical companies, using this concept is a challenging task because of the permanent pressure and business demands created through the legal requirements, research demands and standardization that have to be adopted. These legal and standards’ demands are associated with human healthcare safety and drug control that demands continuous and deep data analysis. Companies update their procedures to the particular laws, standards, market demands and regulations all the time by using contemporary information technology. This paper highlights some important aspects of the experience and change methodology used in one Macedonian pharmaceutical company, which has employed information technology solutions that successfully tackle legal and business pressures when dealing with a large amount of data. We used a holistic view and deliverables analysis methodology to gain top-down insights into the possibilities of big data analytics. Also, structured interviews with the company’s managers were used for information collection and proactive methodology with workshops was used in data integration toward the implementation of big data concepts. The paper emphasizes the information and knowledge used in this domain to improve awareness for the needs of big data analysis to achieve a competitive advantage. The main results are focused on systematizing the whole company’s data, information and knowledge and propose a solution that integrates big data to support managers’ decision-making processes.


2013 ◽  
Vol 7 (1) ◽  
pp. 84-95
Author(s):  
Zhigang Wei ◽  
Shengbin Lin ◽  
Limin Luo ◽  
Fulun Yang ◽  
Dmitri Konson ◽  
...  

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