Clustering of the images stored in a large database is one of the basic tasks in image database mining. In this paper we present a clustering method for an industrial imaging application. This application is a defect detection system that is used in paper industry. The system produces gray level images from the defects that occur at the paper surface and it stores them into an image database. T...

Many classical multivariate statistical process monitoring (MSPM) techniques assume normal distribution of the data and independence of the samples. Very often, these assumptions do not hold for real industrial chemical processes, where multiple plant operating modes lead to multiple nominal operation regions. MSPM techniques that do not take account of this fact show increased false alarm and ...

The evolution of industrial clusters is a critical factor in the strategic development of locations for high-tech industries. Most previous studies have neglected the quantitative aspects of industrial clustering and their access to crucial data may have been limited. This work developed a novel diffusion model to illustrate the extension of IC clusters from Taiwan to China and included foreign...

An application of clustering methods for production planning is proposed. Hierarchical clustering, k-means and SOM clustering are applied to production data from the company KGL in Slovenia. A database of 252 products manufactured in the company is clustered according to the required operations and product features. Clustering results are evaluated with an average silhouette width for a total d...

In future smart energy systems, consumers are expected to change their load patterns as they become a significant source of flexibility. To ensure reliable profile forecasts for long-term planning, conventional classification approaches will not hold and more advanced solutions required. this article, we propose an automatic, data-driven clustering methodology that accounts heterogeneity in ele...

The rapid growth of the Internet Things (IoT) in industrial sector has given rise to a new term: Industrial (IIoT). IIoT is collection devices, apps, and services that connect physical virtual worlds create smart, cost-effective, scalable systems. Although been implemented incorporated into wide range control systems, maintaining its security privacy remains significant concern. In contexts, an...

This paper studies a few Latin American clusters and compares them with an Italian cluster in the same sector: furniture. None of them represents the typical kind of successful clusters studied by the main bodies of literature. Through these cases, this article presents a new perspective on developing countries clustering, that is based upon a wider conception of the benefits of clustering and ...