Knowledge Based Qualification Methodology to Evaluate Shock Induced Risks in BGA Components

Author(s):  
Min Pei ◽  
Guru Arakere ◽  
Milena Vujosevic

This paper provides details of Knowledge Based Qualification (KBQ) methodology to calculate BGA component shock qualification requirements. The methodology is based on experimental, theoretical and computational approach used to generate a detailed knowledge of the use conditions and failure physics. Discussed are the steps taken to understand the end-user behavior and system design impact on dynamic load experienced by the component in the field. A special focus is placed on the understanding of the board deformation modes, their impact on BGA failures, and the physics-of-failure (PoF) metric that is not only accurate enough but also practical for everyday applications. Theoretical and computational modeling was used to perform the necessary “translations” from use condition to test conditions and from system level drop to test board component shock. These “translations” enabled by the PoF metric, directly lead to the determination of BGA shock qualification requirements.

2002 ◽  
Author(s):  
Gregory J. Kacprzynski ◽  
Michael J. Roemer ◽  
Girish Modgil ◽  
Andrea Palladino ◽  
Kenneth Maynard

Author(s):  
Martin O. Hofmann ◽  
Thomas L. Cost ◽  
Michael Whitley

The process of reviewing test data for anomalies after a firing of the Space Shuttle Main Engine (SSME) is a complex, time-consuming task. A project is under way to provide the team of SSME experts with a knowledge-based system to assist in the review and diagnosis task. A model-based approach was chosen because it can be adapted to changes in engine design, is easier to maintain, and can be explained more easily. A complex thermodynamic fluid system like the SSME introduces problems during modeling, analysis, and diagnosis which have as yet been insufficiently studied. We developed a qualitative constraint-based diagnostic system inspired by existing qualitative modeling and constraint-based reasoning methods which addresses these difficulties explicitly. Our approach combines various diagnostic paradigms seamlessly, such as the model-based and heuristic association-based paradigms, in order to better approximate the reasoning process of the domain experts. The end-user interface allows expert users to actively participate in the reasoning process, both by adding their own expertise and by guiding the diagnostic search performed by the system.


2022 ◽  
Vol 40 (2) ◽  
pp. 1-31
Author(s):  
Masoud Mansoury ◽  
Himan Abdollahpouri ◽  
Mykola Pechenizkiy ◽  
Bamshad Mobasher ◽  
Robin Burke

Fairness is a critical system-level objective in recommender systems that has been the subject of extensive recent research. A specific form of fairness is supplier exposure fairness, where the objective is to ensure equitable coverage of items across all suppliers in recommendations provided to users. This is especially important in multistakeholder recommendation scenarios where it may be important to optimize utilities not just for the end user but also for other stakeholders such as item sellers or producers who desire a fair representation of their items. This type of supplier fairness is sometimes accomplished by attempting to increase aggregate diversity to mitigate popularity bias and to improve the coverage of long-tail items in recommendations. In this article, we introduce FairMatch, a general graph-based algorithm that works as a post-processing approach after recommendation generation to improve exposure fairness for items and suppliers. The algorithm iteratively adds high-quality items that have low visibility or items from suppliers with low exposure to the users’ final recommendation lists. A comprehensive set of experiments on two datasets and comparison with state-of-the-art baselines show that FairMatch, although it significantly improves exposure fairness and aggregate diversity, maintains an acceptable level of relevance of the recommendations.


Author(s):  
Lokesh Devaraj ◽  
Alastair R. Ruddle ◽  
Qazi Mashaal Khan ◽  
Alistair P. Duffy

Author(s):  
A. L. Semenov ◽  
V. I. Ershov ◽  
D. A. Gusarov

This paper deals with the concept of the translation approach to the problem of interaction of language and culture in terms of determination of the translation solutions by linguoethnic factors. The authors pay main attention to the analysis of the notion of culture. The concept proceeds from the views and opinions regarding the culture and its role in shaping the identity of the person introduced by the honorary doctor (doctor honoris cause) of the MGIMO-University Federico Major in his book «New page». Sharing the point of view of F. Major , the authors come to the conclusion that culture is a knowledge, based on which an individual perceives and evaluates his performance and behavior. Projecting such a position on the verbal behavior, the authors highlight the leading role of culture in the process of producing a speech act played when choosing the individual models of behavior on the basis of the knowledge of the communicative situation. Based on F. Mayor`s opinion that culture unites rather than divides people, the authors note the presence of universal and unique linguoethnic elements in the cultural knowledge of the representatives of various ethnic groups which determine the degree of similarities and differences in the ways of expressing knowledge in different languages. In this paper the authors reasonably use the term «linguoethnic» to describe the cultural-cognitive peculiarities inherent to individuals as representatives of different ethnic groups, as well as give comparison of the terms «linguoethnic» and «linguocultural».


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