Semiconductor Engineering

Comprehensive CDC Verification Using Advanced Hierarchical Data Models

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...
Semiconductor Engineering

Raising The Bar On Flat CDC Verification With Hierarchical Data Models

Traditionally, clock domain crossing (CDC) verification at the SoC level has relied on flat simulation runs. But flat CDC verification has run out of gas. Largely because of the increase in the number ...
JSTOR Daily

A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer

This is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...
JSTOR Daily

National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty

Proceedings of the National Academy of Sciences of the United States of America, Vol. 117, No. 39 (September 29, 2020), pp. 24173-24179 (7 pages) Population estimates are critical for government ...
Automation World

The Concept of IEC 61850

This 28-page special report discusses the IEC 61850 standard for electrical substation communications, which incorporates an object-oriented hierarchical data model approach with high-level ...
TechRepublic

What is data modeling?

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...