Abstract
Long-term, regular, grid-aware participants are one of the cornerstones of demand management activities that provide grid services. However, voluntary participation to demand management activities is still at low rates, while most customers are not sufficiently aware of the management potential of their flexible loads. Smart metering and data post-processing play a vital role in demand management programs to visualize consumption profiles, highlight flexibility potential and evaluate load management performance of customers. Additionally, gamification techniques can be employed to motivate users to achieve behavioral changes in their consumption profiles, providing financial and social incentives. Long-term field demonstrations and exploration of detailed evaluation metrics have been the main gaps in this area of study. This paper presents and discusses the results of a 13-month field demonstration of a gamified residential demand management platform. 4-month monitoring period is followed by a 9-month gamification period in four houses in Istanbul, Turkey. © 2019 IEEE.

Abstract

Abstract
The internationalization of higher education institutions (HEIs) involve a set of activities aimed at providing an educational experience in an environment that integrates a global perspective. The internationalization of HEIs incorporates a diverse set of academic and extracurricular activities with emphasis on the development and innovation of curricula, academic/student/faculty exchange programs, technological assistance, intercultural training, international student recruitment, and joint research initiatives. Despite the several studies on the internationalization of HEIs, no single study addresses issues like local responsiveness and global integration. As such, the authors discuss how the internationalization of HEIs has evolved and how Bartlett and Ghoshal's strategies fit in the internationalization path of HEIs.

Abstract
Relation Extraction (RE) is part of Information Extraction (IE) and aims to obtain instances of semantic relations in textual documents. The countless possibilities of relations, the myriad of subjects, the difficulty in identifying emotions and the amount of unstructured and heterogeneous data, have challenged the researchers to define innovative and even more accurate methodologies. This paper presents the evaluation results obtained with a set of RE systems on identifying semantic relations in criminal police reports. We have evaluated different applications with documents in English and Portuguese. The results obtained give us useful insights to continue the research work, and to design the relation extraction system applied to related domain. © 2019, Springer Nature Switzerland AG.

Abstract
This work proposes a biased random key genetic algorithm (BRKGA) for the integrated scheduling of manufacturing, transport, and storage/retrieval operations in flexible manufacturing systems (FMSs). Only recently, research on this problem has been reported; however, no heuristic approaches have yet been reported. The computational results show the BRKGA to be capable of finding good quality solutions quickly.

Abstract
The big number of Internet of Things (IoT) devices, the lack of interoperability and the low accessibility of many of them in a vast heterogenous landscape will make it very hard to design specific monitor, manage and security measures and apply specific mechanism to IoT networks. Administration tasks like reporting, performance analysis, and anomaly detection also depend on monitoring for decision making. For that purpose, a solution used in IoT networks must be scalable and interoperable. In this work, we are concerned with the design of a real time monitoring system for IoT networks. To do this, after studying the various traditional network monitoring solutions, we concluded that there are still several developments to be made to this type of mechanism. The design proposed will consider the specific architecture of an IoT network, the scalability and heterogeneity of this type of environment, and the minimization of the use of resources. To do so, we considered the various network monitoring methods available and select a flow monitoring solution in an IoT network. After the presentation of a workflow for flow monitoring on IoT networks, the workflow was tested. By doing analysis of flows, rather than packets, we concluded that this type of solution could be more scalable and interoperable than traditional packet-based network monitoring, make it suitable in an IoT environment. © Springer Nature Switzerland AG 2019.