Cristina Rosaria Monsone

57211482045

Publications - 5

Holistic Approach to Smart Factory

Cristina Rosaria Monsone

Publication Name: IFIP Advances in Information and Communication Technology

Publication Date: 2021-01-01

Volume: 614

Issue: Unknown

Page Range: 160-176

Description:

This article presents the key elements of the digitalization of a system, industrial and non, providing a new holistic formulation for Industry 4.0, I4.0, and a concept base of a new API system in the field of Digital Twin for industrial integrated smart solutions based on Internet of Think, IoT, devices. The general approach is also considered for “traditional” industries which come to be I4.0 and as a suitable element for virtual training and decision-making system for industrial e non -industrial customers in a vision of future application in a Virtual reality, VR, environment. In particular, this research defines a formula - CMon - representative of the digitalization of any system and the realization of an API, DTNet, able to create in real- time a Digital Twin, DT, of a single object from a video, realized through any device, using Deep Learning Techniques and then integrate it in a VR environment for a more accurate predictive analysis.

Open Access: Yes

DOI: 10.1007/978-3-030-80847-1_11

Ecosystems of industry 4.0 - Combining technology and human power

Eunika Mercier-Laurent Cristina Rosaria Monsone

Publication Name: 11th International Conference on Management of Digital Ecosystems Medes 2019

Publication Date: 2019-11-12

Volume: Unknown

Issue: Unknown

Page Range: 115-119

Description:

IoT, digital twins, co-bots, drones, Artificial Intelligence, clouds are the system components of Industry 4.0, this trend born to face hypercompetition. It aims in renewing processes using available technologies and impacts the whole industry ecosystems including people, information processing and business models. While most of research works focus on technology, the industrial systems objectives are economic with recent environmental concern. This paper provides an overview of Industry 4.0 and discuss the importance of considering knowledge, people and planet in massive digitalization. It focus on the role of digital twins in transforming industry, presented in the context of ecosystems and discuss the role of Knowledge Innovation, environmental impact and the place of the humans in I4.0.

Open Access: Yes

DOI: 10.1145/3297662.3365793

Charting the State-of-The-Art in the Application of Convolutional Neural Networks to Quality Control in Industry 4.0 and Smart Manufacturing

Aádám Csapó Cristina Rosaria Monsone

Publication Name: 10th IEEE International Conference on Cognitive Infocommunications Coginfocom 2019 Proceedings

Publication Date: 2019-10-01

Volume: Unknown

Issue: Unknown

Page Range: 463-468

Description:

This paper summarizes the theory behind state-of-The-Art convolutional neural networks and investigates how they can applied to some of the challenges in Industry 4.0. Following an overview of key results in the literature, several major application areas are highlighted, with a focus on areas such as defect detection in production and anomaly detection for maintenance. It is concluded that convolutional neural networks are essential tools for solving many challenges in Industry 4.0.

Open Access: Yes

DOI: 10.1109/CogInfoCom47531.2019.9089932

The overview of digital twins in industry 4.0: Managing the whole ecosystem

Eunika Mercier-Laurent János Jósvai Cristina Rosaria Monsone

Publication Name: Ic3k 2019 Proceedings of the 11th International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management

Publication Date: 2019-01-01

Volume: 3

Issue: Unknown

Page Range: 271-276

Description:

Industry 4.0 aims in renewing processes using available technologies such as robots and other AI techniques implemented in IoT, drones, digital twins and clouds. This metamorphose impacts the whole industry ecosystems including people, information processing and business models. In this context, the accumulated knowledge and know-how can be reused but has also to evolve. This paper focus on the role of digital twins in transforming industrial ecosystems and discuss also the environmental impact.

Open Access: Yes

DOI: 10.5220/0008348202710276

Instance Segmentation in Industry 5.0 Applications Based on the Automated Generation of Point Clouds

Aádám Csapó Cristina Rosaria Monsone

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2025-01-01

Volume: 22

Issue: 6

Page Range: 25-46

Description:

In this paper, we explore the utility of classical neural network-based approaches, originally designed for processing 2D images, in semantic segmentation and object recognition tasks within the context of 3D point cloud images generated from handheld video recordings. Our investigation centers around the use of a custom-created, small-sized training dataset, consisting of 108 RGB images of humans and cobots in diverse industrial settings. This dataset allows us to demonstrate that flexible segmentation and recognition applications can be built even with a restricted dataset developed using widely available low-cost tools and modern convolutional neural net architectures. Downstream benefits of the approach include the ability to detect humans and human gestures, as well as to rapidly prototype digital twins in Industry 5.0 environments.

Open Access: Yes

DOI: 10.12700/APH.22.6.2025.6.3