The pandemic crisis has meant a challenge for SMEs and a factor that can change the way of doing business. The current paper analyses the correlations between financial resources, turnover, sustainability, and digital technologies and how these components can be adapted to changes in the economy triggered by the pandemic crisis in the structure of activities carried out by SMEs. Resting on the importance of integrating the innovative, digital component to the activities of SMEs, in close connection with the financial resources component, a multicriteria research model for business has been developed, assessing the correlations between key variables and their influence on European SMEs. In order to fully define the concepts envisaged and to emphasise these correlations, multiple linear regression, clustering techniques, and correlation analysis were used. In the end, the proposed solution provided a common language through which companies can evaluate traditional processes and bring together the research components into business activities.

This paper presents an efficient graph-based method to detect salient objects from color images and to extract their color and geometric features. Despite of the majority of the segmentation methods our method is totally adaptive and it do not require any parameter to be chosen in order to produce a better segmentation. The proposed segmentation method uses a hexagonal structure defined on the set of the image pixels ant it performs two different steps: a pre-segmentation step that will produce a maximum spanning tree of the connected components of the visual graph constructed on the hexagonal structure of an image, and the final segmentation step that will produce a minimum spanning tree of the connected components, representing the visual objects, by using dynamic weights based on the geometric features of the regions. Experimental results are presented indicating a good performance of our method.

Apache Kafka is a distributed event streaming platform used by thousands of companies worldwide for online data exchange. The system accepts any type of data, and this means that it can be used for varied types of applications. This paper presents an application that allows the user to send or receive different messages via Apache Kafka, either immediately or based on a schedule, using a Javascript-like language for programming.

Virtualization solutions used within Cloud computing have proven over time to address the problem of inefficient use of physical computing resources. Virtualization can provide high-level availability to critical applications with, thus streamlining the operation of IT infrastructure and responding quickly to changes. The paper proposes a mathematical model based on Queuing Theory aimed at ensuring a certain level of Quality of Service (QoS).