Sistemas & Telematica

Presentation

Cuban agriculture has the growing need to increase its productivity. To achieve this, precision agriculture can play a fundamental role. It is necessary to develop an image processing system able to process all the crops information and calculate vegetation indexes in a satisfactory way. This will entail in accurate measurements of the nitrogen lack, the hydric stress, and the vegetal strength, among other aspects, seeking to improve the accuracy in the care of these aspects. This document reports the results of an investigation pointed to develop a procedure for capturing and processing multispectral aerial images obtained from Unmanned Aerial Vehicles [UAV]. This procedure searched to measure the vegetation indexes of sugarcane crops that may be correlated with the level of vegetal strength, the number of stems, and the foliar mass per lot. We used a USENSE-X8 UAV together with a Sequoia multispectral sensor and the QGIS processing software. The procedure was experimentally validated.

Cloud computing is a service-oriented computational platform that allows on-demand  resource provisioning for low-cost application deployment.   However, security and privacy of the users is a major concern for the cloud service provider, particularly  for applications handling users personal information (health record, GPS location) or performing financial transactions. Authentication is an important security  measure  for establishing accountability and authorization of the users, is often a prerequisite for accessing cloud-based services. In this paper, we mainly focus on the token-based authentication techniques, supported by popular open source cloud platforms [OSCPs], like  Cloudstack, OpenStack, Eucalyptus and OpenNebula. In general, most OSCPs support the basic text-based user authentication. Other techniques,  such as biometrics, gesture and image, can also be implemented on OSCPs. However, in this paper, we choose to discuss the token-based authentication, as it allows users to gain access to multiple cloud services with a single sign-on (SSO). Moreover, token’s can be shared among multiple users for accessing cloud-based services.

In modern society, monitoring and control every industrial process are essentials requirements to achieve an adequate efficiency. This work is focused on the implementation of a Supervisory Control and Data Acquisition [SCADA] system integrating the generating groups and the electric substation of the “Cayo Santa María” isolated electrics y stem located in Cuba. For its design, we employed the Eros development platform on its version 5.9 and we collected the field variables via the Modbus protocol and the OPC standard. We also defined the communicatons network between the technological targets at the physical level by configuring a report system with the most relevant measurements and we coded a web client to monitor the SCADA parameters from the cooperative network. The obtained solution entails to considerable economical savings by complaining the pre-established functional and operational requirements; furthermore, it provides a considerable flexibility towards future modifications.

Tae Kwon Do is a Korean martial art included as an Olympic sport, where several tools have been developed from the engineering point of view,mainly focused on improving the capacity of the athletes. Nevertheless, there is a breach in the selection process of high performance athletes. For this reason, this research was focused on developing a system based on the information of the classification for the athletes in the Tae Kwon Do Ecuadorian Federation by using the wrapper and embedded modes and the Decision Tree and Support Vector Machines machine learning algorithms. These algorithms and modes were used to assess the different factors considered in this classification. The main contribution of this work is to provide a support system for the selection of these athletes.