☆ 4.6 Article

Towards an Assembly Support System with Dynamic Bayesian Network

APPLIED SCIENCES-BASEL (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Interdisciplinary Applications

Hybrid machine learning for human action recognition and prediction in assembly

Jianjing Zhang et al.

Summary: This paper presents a hybrid approach to context-aware human action recognition and prediction based on the integration of a convolutional neural network (CNN) and variable-length Markov modeling (VMM) to improve operational flexibility and productivity in human-robot collaboration.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems

Arpad Gellert et al.

Summary: This study evaluates the Prediction by Partial Matching algorithm as a component of an assembly assistance system supporting factory workers. The evaluation was conducted on experiment datasets, showing significant improvement of this method over existing Markov predictors.

APPLIED SCIENCES-BASEL (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Augmented Reality in Industry 4.0 and Future Innovation Programs

Gian Maria Santi et al.

Summary: Augmented Reality is recognized as a leading technology in the 21st century with vast application potential. Despite being mature in research applications, there are limitations in industrial practice that require improvements in software and hardware. The originality of this paper lies in providing guidelines to enhance the potential of Augmented Reality in factories and industries.

TECHNOLOGIES (2021)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Using Two-Level Context-Based Predictors for Assembly Assistance in Smart Factories

Arpad Gellert et al.

Summary: The paper introduces a context-aware assistive system for manual assembly tasks, which uses context-based predictors to suggest next steps during the manufacturing process. By analyzing data collected from experiments with trainees in assembling a tablet, correlations between worker characteristics and assembly preferences were identified, leading to the selection of an appropriate predictor for assembly styles.

INTELLIGENT METHODS IN COMPUTING, COMMUNICATIONS AND CONTROL (2021)

添加到收藏夹

Article Chemistry, Analytical

Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces

Shengjing Sun et al.

SENSORS (2020)

添加到收藏夹

Review Chemistry, Multidisciplinary

Lean Manual Assembly 4.0: A Systematic Review

Adrian Miqueo et al.

APPLIED SCIENCES-BASEL (2020)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Augmented reality smart glasses in industrial assembly: Current status and future challenges

Oscar Danielsson et al.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2020)

添加到收藏夹

Article Operations Research & Management Science

Assembly support systems with Markov predictors

Arpad Gellert et al.

JOURNAL OF DECISION SYSTEMS (2020)

添加到收藏夹

Article Economics

Exchange rate predictability and dynamic Bayesian learning

Joscha Beckmann et al.

JOURNAL OF APPLIED ECONOMETRICS (2020)

添加到收藏夹

Article Automation & Control Systems

Human Factor Analyser for work measurement of manual manufacturing and assembly processes

Maurizio Faccio et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Approach to Increase Worker Acceptance of Cognitive Assistance Systems in Manual Assembly

Robin Sochor et al.

52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) (2019)

添加到收藏夹

Editorial Material Veterinary Sciences

P-values, p-values everywhere!

Siva Ganesh et al.

NEW ZEALAND VETERINARY JOURNAL (2018)

添加到收藏夹

Article Automation & Control Systems

Point cloud and visual feature-based tracking method for an augmented reality-aided mechanical assembly system

Yue Wang et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

添加到收藏夹

Article Chemistry, Multidisciplinary

Enabling Technologies for Operator 4.0: A Survey

Tamas Ruppert et al.

APPLIED SCIENCES-BASEL (2018)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Assembly system design in the Industry 4.0 era: a general framework

Marco Bortolini et al.

IFAC PAPERSONLINE (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context

Francesco Longo et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2017)

添加到收藏夹

Article Transportation Science & Technology

A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data

Jie Sun et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)

添加到收藏夹

Proceedings Paper Engineering, Industrial

Adaptive qualification and assistance modules for manual assembly workplaces

The Duy Nguyen et al.

12TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING - EMERGING POTENTIALS (2015)

添加到收藏夹

Article Biochemical Research Methods

Applying dynamic Bayesian networks to perturbed gene expression data

Norbert Dojer et al.

BMC BIOINFORMATICS (2006)

添加到收藏夹

Article Biochemical Research Methods

A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data

M Zou et al.

BIOINFORMATICS (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.