Ignacio González Alonso

Using the Big Data generated by the Smart Home to improve energy efficiency management

A Smart Home is able to generate energy-related values such as electricity consumption, temperature, or luminosity without higher infrastructure requirements. The main aim of this research is to extract information from that raw data that could contribute to improving the energy efficiency management. This paper presents a system which, using different Machine Learning approaches to learn about the users’ consumption habits, is able to generate collaborative recommendations and consumption predictions that help the user to consume better, which will in turn improve the demand curve. Moreover, from consumption values, the system learns to identify devices, enabling the demand to be anticipated. Taking into account the fact that the amount of energy data is increasing in real-time, the use of Big Data techniques will be the key to handling all the operations and one of the more innovative features of the system.

VISUAL LOCALISATION OF MOBILE DEVICES IN AN INDOOR ENVIRONMENT UNDER NETWORK DELAY CONDITIONS

Current progresses in home automation and service robotic environment have highlighted the need to develop interoperability mechanisms that allow a standard communication between the two systems. During the development of the DHCompliant protocol, the problem of locating mobile devices in an indoor environment has been investigated. The communication of the device with the location service has been carried out to study the time delay that web services offer in front of the sockets. The importance of obtaining data from real-time location systems portends that a basic tool for interoperability, such as web services, can be ineffective in this scenario because of the delays added in the invocation of services. This paper is focused on introducing a web service to resolve a coordinates request without any significant delay in comparison with the sockets.

Interoperability Standard Used by Service Robots: Study to Develop an Open Standard Bye Infobotica Research Group

This paper shows the current situation in the main companies of robotics services, regarding to characteristics like interoperability protocol and simulation software for service robots. The information shown in this paper is the result of the interviews made by Infobotica Research Group directly with the manufacturers of robots. These analysis would contribute with the specialized systems in the platforms simulation integration into the service robotics environment. Thereby, there is an increase in the collaborative work between research groups and companies, which is a very important point when identifying the needs that must be covered by the open source standard developed by Infobotica Research Group.

Rovim: A Generic and Extensible Virtual Machine for Mobile Robots

This paper describes a system based on a virtual machine capable of executing a program on different mobile robots with different hardware and software profiles. We present a generic intermediate language and a set of sensor abstractions that attempt to decouple the software from the hardware for each robot. The result is a system designed to increase the portability of robot programs and software reuse, writing software once and running it on many robots.

Using Sysml to Describe a New Methodology for Semiautomatic Software Generation from Inferred Behavioral and Data Models

This article describes a new methodology designed for semiautomatic generation of software applications using the new standard of OMG consortium: SYSML. The methodology has behavior and data model inference steps. Both data and behavior are inferred, the first by XSD-Schema inference and the latter by Business Process Mining inferences. The paper describes how by using SYSML a better description of the methodology is given, a description that allows making a better design than using UML standard tools.

Wiki use in learning for topography spanish students

There are many tools that leans in the cognitivism as general platform, for example the wikis. This is a study in a topography course of Spanish students with no previous knowledge of computers and computing. We aplicated one voluntary work in their last project where it showed that the 59,4% of these students use in an effective manner the Wiki tool.

Public health resources for smart-home scenario development: A methodological approach

Scenarios are used as tools in the development of smart home platforms and middleware for aging-in-place. In order to be effective, a set of scenarios that address all required functionalities are needed. The health condition of the majority of an aging population has been described by medical tools, such as WHOs International Classification of Functioning, Disability and Health ICF and local health profiles. However, this has not yet been fully implemented in the development of smart-homes. In this study we develop a Public Health Methodology PHM in which we use public health resources for the generation of scenarios. Specific user characteristics are taken from the medical tools. Common daily user activities were supplied by research into common activities as practiced by Dutch end-users. A functional scenario is generated by combining the user characteristics and user activities with the product goal, the physical and non-physical environment, and the product to be developed. Using this method a set of 10 scenarios covered all requirements. The scenarios were used in virtual tests for the validation of smart-home platforms. PHM is a promising tool in the development of smart environments that are more easily adopted by aging populations.

Work in progress: Smart Way in a robotic village

The aim of this research is to develop a set of technologies and standards for the interoperability of an energy-efficient robotic village. Furthermore, the approach for achieving that will be done in the form of a living lab. So the research presented here will be to proof and to tune different technological standards and technologies considered “green”, in a large experimental context of a Robotic Village. The research topics associated with it will be related with the increase of the energy efficiency in different daily areas and how they will contribute to the objectives of 2020 agenda from the UE, of reducing human impact on climate change. One of those research areas is the Smart Way, where technological challenges of the EV, the automation in road infrastructure building and the interoperability of road management and transportation systems will be gathered in order to boost a progressive variation of current transportation model. Concretely, the studies and developments necessary to achieve an increase in energy density and service life, reduced recharge times and price decrease will be carried out.

Work in progress: Towards the energy-efficient consumption applied to digital home

In recent decades, there has been an increase in the use of robotics in home automation environments. That, joined to the interest in efficient consumption of energy, is the base of the research exposed next. Nowadays, the increase of robotic systems in human daily activities has facilitated its integration and diversification and, due to this, new needs have come up. An example of this situation is the case of service robots that, as well as give comfort to the user, they can provide an energy efficient consumption. The aim of this work is to lay the concept of energy and Smart Grids in a smart home interoperability protocol like DHCompliant. This will make possible a greater energy and economic saving, providing the user the possibility of making strategic decisions regarding their energy consumption.

Multimodal Interface for Mobile Robots Using RIF Framework: Comunicattion between Different Environments

The goal of this research is to develop a multimodal interface through which human can communicate with robots in different ways (audio/speech recognition, tactile screen, and hand gestures) that demonstrates the usefulness of integrating many modes of interaction. The reason of using this multimodal interface is to make the communication between humans and robots similar to human-to-human communication. These multimodal systems appear to improve HRI by allowing humans to communicate in a more spontaneous way and provide a friendly interface that allows people to make use of the services offered by the robot (guided process of patients, remote assistance, and freight) in an easy and intuitive way.