Autores: G. FABBRI, A. DAPIT
Año: 2021
Keywords: Public Private Partnerships, Building Renovation and Regeneration, Public cultural heritage Management, Conservation and Valorisation

Abstract: Municipalities typically face difficulties in conserving and managing their public cultural heritage, which often lingers in a condition of neglect, and there is a strong need to identify a set of additional and innovative tools capable of providing adequate financial resources as well as new skills. The use or reuse of public cultural heritage buildings can be managed through the adoption of Public–Private agreements and novel models. The paper illustrates the new 5P concept model of Public-Private-People-Policy-Partnerships that has emerged as a way to address the problems related to Public-Private Partnerships by bringing the citizens (People) into the Partnerships alongside with Public and Private actors and with the strategic local Policy makers (Policy). The paper illustrates a practical case of applying the model to a R&D green building project.

Autores: Andrés Camero, Enrique Alba
Año: 2019
Keywords: Smart city Informatics Digital city Literature review Internet of things Urban policy.

Abstract: Smart City is a recent concept that is gaining momentum in public opinion, and thus, it is making its way into the agendas of researchers and city authorities all over the world. However, there is no consensus of what exactly is a smart city, and academic research is, at best, building applications in numerous silos. This paper explores the computer science and information technology literature about Smart City. Using data analysis techniques, we contribute to present the domain from an objective data-based point of view, aiming to highlight its major trends, and providing a single entry point for newcomers.

Autores: G. Bonifazi, R. Gasbarrone, R. Palmieri, G. Capobianco, S. Serranti
Año: 2021
Keywords: Waste Water Treatment Plants, Chemical Portable Toilets, Use of sludges in agriculture.

Abstract: The EU wastewater management industry is continuously looking for innovative technological solutions that can enter the market with a reduced environmental impact. This paper focuses on the problems associated to the disposal of human waste and on the specific market of the so-called mobile toilets. These are independent portable units equipped with sanitary tools that use chemical agents to disinfect the vessel and not connected to the sewer network. With growing awareness towards effective sanitation, mobile toilets have gained immense popularity in recent years and are now widely used at construction sites, event venues, public places, and in several other application like temporary refugee housing, migrants’ camps, military missions, cases of natural disasters, airplanes, trains, campers, caravans and campsites. This paper illustrates a new process for the disposal of organic waste from mobile toilets.

Autores: J.A. Asensio, J. Criado, N. Padilla, L. Iribarne.
Año: 2019
Keywords: Home Automation, Emulation, KNX, Multimedia Web Components, IoT, COScore infrastructure

Abstract: The Internet of Things mechanisms enable the management of home environments since they can be developed as IoT based information systems. From standard smart homes to automated buildings, including other kind of domotics and inmotics solutions, every system must be tested and validated before its installation. The current tools offered by IoT and home automation vendors lack in emulation features close to the real behavior of the devices. In many cases, delaying the verification actions until the hardware is acquired and installed may cause some drawbacks, for example, from the economic point of view. This paper presents a solution for emulating home automation environments which are based on the KNX standard and can be represented by architectures of devices. The emulation consist of developing virtual implementations of real devices which operate and communicate through web technology. The technology implementing these virtual devices allows us to develop components which can provide different type of data related to the installation (audio, video, text, animations, images, etc.). The architectures can be managed using web services and their behavior can be tested through web user interfaces showing the mentioned data. Furthermore, virtual and physical devices are connected to validate the interoperability between the real installation and the emulation.

Autores: A.J. Fernández-García, L. Iribarne, A. Corral, J. Criado, J.Z. Wang.
Año: 2019
Keywords: Machine learning, Recommender Systems, Feature engineering, Feature Selection, Component-based interfaces, interaction information acquisition.

Abstract: Software designers are striving to create software that adapts to their users’ requirements. To this end, the development of component-based interfaces that users can compound and customize according to their needs is increasing. However, the success of these applications is highly dependent on the users’ ability to locate the components useful for them, because there are often too many to choose from. We propose an approach to address the problem of suggesting the most suitable components for each user at each moment, by creating a recommender system using intelligent data analysis methods. Once we have gathered the interaction data and built a dataset, we address the problem of transforming an original dataset from a real component-based application to an optimized dataset to apply machine learning algorithms through the application of feature engineering techniques and feature selection methods. Moreover, many aspects, such as contextual information, the use of the application across several devices with many forms of interaction, or the passage of time (components are added or removed over time), are taken into consideration. Once the dataset is optimized, several machine learning algorithms are applied to create recommendation systems. A series of experiments that create recommendation models are conducted applying several machine learning algorithms to the optimized dataset (before and after applying feature selection methods) to determine which recommender model obtains a higher accuracy. Thus, through the deployment of the recommendation system that has better results, the likelihood of success of a component-based application is increased by allowing users to find the most suitable components for them, enhancing their user experience and the application engagement.

Autores: D. Alulema, J. Criado, L. Iribarne.
Año: 2018
Keywords: Internet of Things, T-health, digital TV, model engineering, security

Abstract: The Internet of Things has presented a rapid development, due to the over-crowding of hardware and software platforms, greater deployment of communications networks, development of data analysis tools, among others. This development has led to a boom in applications focused on areas as varied as Smart Cities, Smart Agro, Smart Buildings, Smart Home, and Smart Health, in which people and things are interconnected. This is one of the reasons by which a review of the main technologies involved in the emergence of the Internet of Things must be carried out to determine those characteristics allowing that interconnection, but without neglecting security. This issue allows the user to feel con dent to use these new services. In this work, we propose a cross-device architecture that integrates technologies and implementations in homes, and uses basic authentication as a security scheme. To validate the cross-device proposal, a case study scenario has been designed, including and integrating digital-TV (DTV), Smart Phones and wearables devices for monitoring users physical activity.