Publication

@inproceedings{supyen2024streamlining,

title = {Streamlining Manufacturing Resource Digitization for Digital Twins Through Ontologies and Object Detection Techniques},

author = {Kritkorn Supyen and Abhishek Mathur and Tina Boroukhian and Hendro Wicaksono},

url = {https://link.springer.com/chapter/10.1007/978-3-031-56826-8_32},

doi = {https://doi.org/10.1007/978-3-031-56826-8_32},

year  = {2024},

date = {2024-04-03},

urldate = {2024-04-03},

booktitle = {International Conference on Dynamics in Logistics},

pages = {419–430},

organization = {Springer Nature Switzerland Cham},

abstract = {Digital twins play an essential role in manufacturing companies to adopt Industry 4.0. However, their uptake has been lagging, especially in European manufacturing firms. This can be attributed to the absence of automated methods for digitizing physical manufacturing resources and creating digital representations accessible and processable by both humans and computers. Our research addresses this challenge by automating the digitization of manufacturing resources captured on the shop floor. We employ object detection techniques on a set of images and align the results with an ontology that standardizes the semantic description of digital representations. This research aims to accelerate digital transformation for manufacturing companies, providing digital representations to their physical resources. The ontology-based digital representation fosters interoperability among diverse equipment and machines from various vendors. It enables the automated deployment of digital twins, improving the efficiency of planning and control of manufacturing systems.



},

keywords = {computer vision, digital twins, machine learning, ontologies, semantic web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sukaridhoto2023internet,

title = {Internet of Things Platform as a Service for Building Digital Twins and Blockchain},

author = {Sritrusta Sukaridhoto and Agus Prayudi and Muhammad Udin Harun Al Rasyid and Hendro Wicaksono},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Intelligent Systems Conference},

pages = {616–635},

organization = {Springer Nature Switzerland Cham},

keywords = {blockchain, digital twins},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wicaksono2023towards,

title = {Towards Intelligent and Trustable Digital Twin Asset Management Platform for Transportation Infrastructure Management Using Knowledge Graph and Explainable Artificial Intelligence (XAI)},

author = {H Wicaksono and M Un Nisa and A Vijaya},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},

pages = {0528–0532},

organization = {IEEE},

keywords = {digital twins, explainable AI, ontologies},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{reinhold2023will,

title = {Will Industry 4.0 Applications Help in Designing Sustainable Forest Management? A Conceptual Framework of Connected Networks in Novel Sectors},

author = {Y Reinhold and O Fatahi Valilai and H Wicaksono},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)},

pages = {0918–0922},

organization = {IEEE},

keywords = {artificial intelligence, design science research, digital twins, industry 4.0},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ro2020development,

title = {Development of Virtual Engineering Platform for Online Learning System},

author = {Hudzaifah Ro’fatulhaq and Sandy Arif Wicaksono and Muhammad Fajrul Falah and Sritrusta Sukaridhoto and Muhammad Agus Zainuddin and Hestiasari Rante and Muhammad Udin Harun Al Rasyid and Hendro Wicaksono},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

booktitle = {2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)},

pages = {185–192},

organization = {IEEE},

keywords = {augmented reality, digital twins, education, virtual engineering, virtual reality},

pubstate = {published},

tppubtype = {inproceedings}

}