Executable knowledge graphs for machine learning: a Bosch case of welding monitoring

Z Zheng, B Zhou, D Zhou, X Zheng, G Cheng… - International Semantic …, 2022 - Springer
Data analysis including ML are essential to extract insights from production data in modern
industries. However, industrial ML is affected by: the low transparency of ML towards non …

Ontology reshaping for knowledge graph construction: applied on Bosch welding case

D Zhou, B Zhou, Z Zheng, A Soylu, G Cheng… - International Semantic …, 2022 - Springer
Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …

A new predictive control strategy for improving operating performance of a permanent magnet synchronous generator-based wind energy and superconducting …

N Mughees, MH Jaffery, M Jawad - Journal of Energy Storage, 2022 - Elsevier
This research work proposes an unscented Kalman filter (UKF) as an observer for predictive
current control (PCC) of a permanent magnetic synchronous generator (PMSG)-based wind …

Low-cost multisensory robot for optimized path planning in diverse environments

R Mittal, G Rani, V Pathak, S Chhikara, VS Dhaka… - Computers, 2023 - mdpi.com
The automation industry faces the challenge of avoiding interference with obstacles,
estimating the next move of a robot, and optimizing its path in various environments …

ExeKG: Executable knowledge graph system for user-friendly data analytics

Z Zheng, B Zhou, D Zhou, A Soylu… - Proceedings of the 31st …, 2022 - dl.acm.org
Data analytics including machine learning (ML) is essential to extract insights from
production data in modern industries. However, industrial ML is affected by: the low …

Schere: Schema reshaping for enhancing knowledge graph construction

D Zhou, B Zhou, Z Zheng, A Soylu, O Savkovic… - Proceedings of the 31st …, 2022 - dl.acm.org
Automatic knowledge graph (KG) construction is widely used for eg data integration,
question answering and semantic search. There are many approaches of automatic KG …

A Self-Moving Piezoelectric Actuator With High Carrying/Positioning Capability via Bending-Resonant-Vibration-Induced Stick-Slip Motion

J Liu, Z Ding, J Wu, L Wang, T Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
A self-moving piezoelectric actuator (SMPA) with high carrying/positioning capability is
presented in this article. Its× π-shaped mechanical part comprises four piezo-legs, each of …

[PDF][PDF] Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing.

B Zhou, Z Zheng, D Zhou, Z Tan, O Savkovic… - ISWC (Posters/Demos …, 2022 - ceur-ws.org
Visual analytics has been important for many data-driven applications in modern industries.
However, there has been limited research of semantic technologies for visual analytics …

Posture estimation in agriculture: Employing inertial measurement units and unscented Kalman filtering for trunk, shoulder, and elbow analysis

A Zougali, O Thamsuwan - IEEE Access, 2024 - ieeexplore.ieee.org
Farmworkers are often at risk of musculoskeletal health problems, with low back pain being
the most common, accounting for approximately over half of the population worldwide …

[PDF][PDF] Towards A Statistic Ontology for Data Analysis in Smart Manufacturing.

Z Zheng, B Zhou, D Zhou, AQ Khan, A Soylu… - ISWC (Posters/Demos …, 2022 - ceur-ws.org
Statistical analytics has been playing an important role for uncovering patterns and trends
from data in smart manufacturing. However, how statistical analytics are performed is usually …