LINDASearch: a faceted search system for linked open datasets

Wireless Networks - The importance of Linked Data lies on the fact that its practices and principles have been adopted by an increasing number of data providers, resulting in the creation of a data...     

IntelliHome: An internet of things-based system for electrical energy saving in smart home environment

Despite there has been an increasing energy price due to factors such as supply, demand, government regulation, among others, users do not like to spend their time to analyze their power consumption and establish actions to save money. Hence, there is a need for smart solutions that help users to save energy at home in an easy way. The smart home concept is attracting the attention of both academia and industry to address this need. Nowadays, high volumes of data are available in the smart home context, facilitated by the growth of internet of things (IoT)-based devices and advanced sensing infrastructure. Therefore, it is necessary to automatically extract useful knowledge from this information to cost-effective use of energy at home. In this sense, this work presents IntelliHome, a smart-home system that aims to reduce electrical energy consumption at home. To this end, IntelliHome uses big data analytics technologies and Machine Learning and statistical techniques to provide users with a meaningful perspective of their electricity consumption habits aiming to actively involve them in the energy-saving process through real-time information and energy-saving recommendations. This work also discusses a case study and an evaluation aligned with the objectives of this work. The obtained results verify the effectiveness of the proposed system regarding electrical energy saving.     

MobiCloUP!: a PaaS for cloud services-based mobile applications

The integration of cloud computing and mobile computing has recently resulted in the Mobile Cloud Computing (MCC) paradigm which is defined as the availability of \(c\) loud services over a mobile ecosystem. Platform as a Service (PaaS) is a model of cloud computing that refers to high-level software systems delivered over Internet. This model typically enables developers to deliver Web applications as Software as a Service. With the aim of providing support to the MCC, in this work a PaaS called MobiCloUP! is proposed for mobile Web and native applications based on third-party cloud services such as Netflix, Instagram and Pinterest, to mention but a few. Unlike other commercial solutions such as force.com, Google \(^{\mathrm{TM}}\) App Engine and other academic proposals like MOSAIC, MobiCloUP! implements an automatic code generation programming model targeting rich mobile applications based on both Web standards such as HTML5, CSS3 and AJAX and Rich Internet Application frameworks like Adobe \(^{\textregistered }\) Flex. The MobiCloUP! core is a wizard tool that covers design, publish/deployment, development and maintenance phases for mobile development life-cycle. In order to validate our proposal, Web 2.0 services-based Web and native mobile applications were developed and deployed to the Cloud using MobiCloUP!. Finally, a qualitative-comparative evaluation was performed in order to validate the legitimacy of our proposal against other similar commercial proposals.