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Displaying 7626 - 7650 of 9858

Knowledge Extraction in Additive Manufacturing: a Formal Concept Analysis Approach

November 13, 2024
Author(s)
Zhuo Yang, Yan Lu, Yande Ndiaye, Mario Lezoche, Herve Panetto
In Additive Manufacturing (AM), it is still a major challenge to manage part quality, which is heavily influenced by feedstock materials, process settings, and in-process control. Deviations in these factors can lead to defects in the final product

Towards Reproducible Machine Learning-Based Process Monitoring and Quality Prediction Research for Additive Manufacturing

November 13, 2024
Author(s)
Yan Lu, Zhuo Yang, Jiarui Xie, Mutahar Safdar, Andrei Mircea Romascanu, Hyunwoong Ko, Yaoyao Fiona Zhao
Machine learning (ML)-based monitoring systems have been extensively developed to enhance the print quality of additive manufacturing (AM). In-situ and in-process data acquired using sensors can be used to train ML models that detect process anomalies

Anomaly Based Intrusion Detection using Large Language Models

June 15, 2024
Author(s)
Zineb Maasaoui, Abdella Battou, Mheni Merzouki, Ahmed LBATH
In the context of modern networks where cyber-attacks are increasingly complex and frequent, traditional Intrusion Detection Systems (IDS) often struggle to manage the vast volume of data and fail to detect novel attacks. Leveraging Artificial Intelligence

Adapting Consumer Product Design to the Circular Economy

August 14, 2022
Author(s)
Vincenzo Ferrero, Buddhika Hapuwatte, KC Morris
Abstract Transition to a Circular Economy (CE) will be facilitated by information transfer between life cycle stages, and, particularly, the transition can be accelerated at the product design stage where the decisions have impact throughout the life cycle

Content Migration: From Paper to XML Documents

October 12, 2021
Author(s)
K H. Lee, Y C. Choy, S B. Cho, Xiao Tang, V R. Mccrary
¿¿¿With the widespread of XML documents on the Web, there is a growing interest in transforming paper-based documents into XML representations. In this paper, we present a syntactic method for logical structure analysis of documents with multiple pages and

A DOMAIN DRIVEN APPROACH TO METAMODELING IN ADDITIVE MANUFACTURING

September 6, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
Recent studies have shown advantages to utilizing metamodeling techniques to mimic, analyze, and optimize system input-output relationships in Additive Manufacturing (AM). This paper addresses a key challenge in applying such metamodeling methods, namely

INVESTIGATING GREY-BOX MODELING FOR PREDICTIVE ANALYTICS IN SMART MANUFACTURING

August 8, 2017
Author(s)
Peter O. Denno, Yan Lu, Paul Witherell, Sundar Krishnamurty, Ian Grosse, Douglas Eddy
This paper develops a grey-box modeling approach that combines manufacturing knowledge-based (white-box) models with statistical (black-box) metamodels to improve model reusability and predictability. A white-box model can utilize different types of

Group Discovery Time in Device-to-Device (D2D) Proximity Services (ProSe) Networks

May 4, 2017
Author(s)
David W. Griffith, Aziza Ben Mosbah, Richard A. Rouil
Device-to-device (D2D) communications for Long Term Evolution (LTE) networks relies on a discovery process to enable User Equipment (UE) to determine which D2D applications and services are supported by neighboring UEs. This is especially important for

Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models

August 12, 2014
Author(s)
Paul W. Witherell, Shaw C. Feng, Timothy Simpson
Despite the existence and interest in additive manufacturing (AM) for many decades, industry adoption of AM technologies has been relatively slow. Recent advances in modeling and simulation of AM processes and materials are providing new insights to help

Web-enabled Real-time Quality Feedback for Factory Systems using MTConnect

August 15, 2012
Author(s)
John L. Michaloski, Byeong Eon Lee, Frederick M. Proctor, Sid Venkatesh
Quality is a key element to success for any manufacturer, and the fundamental prerequisite for quality is measurement. In the discrete parts industry, quality is attained through inspection of parts but typically there is a long latency between machining

SUSTAINABLE MANUFACTURING INDICATOR REPOSITORY

May 2, 2011
Author(s)
Shaw C. Feng, Prabir Sarkar, Che B. Joung, John Carrell
Sustainable manufacturing promotes manufacturing processes that minimize environmental and social impacts while maintaining economic benefits. To achieve this, manufacturers seek metrics and measurement methods to enable them to track the progress and
Displaying 7626 - 7650 of 9858
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