Abstract

Abstract
The general objective of this article is to present the importance of robotics in elementary level school. In addition to discussing pedagogical mediation in this context. The reason for the development of this work centers on the need for studies on Robotics in the educational environment and its networks of relations with a focus on the learning of students and on the need for a change in the culture of the school. The methodology of this work is based on the cartographic method of research and intervention that, instead of seeking a result or conclusion, seeks to follow the process, seeking to establish relationships. Thus, we began mapping the pedagogical mediation between the teachers and students of the municipal schools of Viamão, EMEF Residencial Figueira and EMEF Sergeant Manoel Raymundo Soares. In order to understand the pedagogical mediation of the inventive robot robotics activities for the competitions of the II Municipal Robotics Exhibition of the Viamão Municipality - Rio Grande do Sul. From the results, we can highlight that the students seek to improve their knowledge in related areas, such as physics, mathematics, electronics, programming, and mechanics. Assuming an inventive and active stance, it also enables students to build not only concepts, skills, but also values ??and ideals in order to contribute to society. Making them autonomous, independent and responsible citizens.

Abstract
A lot has been said about the digital natives and their natural way of integrating the internet in their daily activities. Millennials have been considered a unique segment of consumers by researchers and practitioners alike, due to their ability and propensity to adopt and adapt new media to their daily routine. Although it is expectable that they are particularly keen on embracing IoT, extant literature is scarce on their views on the adoption of IoT to their home, work, and leisure activities. In this chapter, the authors analyze the potential of the millennial segment to IoT products and services. Results of a qualitative study with Portuguese consumers are included and provide interesting cues to marketers working with IoT offers.

Abstract
In recent years, there have been notable commitments and obligations by the electricity sector for more sustainable generation and delivery processes to reduce the environmental footprint. However, there is still a long way to go to achieve necessary sustainability goals while ensuring standards of robustness and the quality of power grids. One of the main challenges hindering this progress are uncertainties and stochasticity associated with the electricity sector and especially renewable generation. In this paradigm shift, forecasting tools are indispensable, and their utilization can significantly improve system operation and minimize costs associated with all related activities. Thus, forecasting tools have an essential key role in all decision-making stages. In this work, a hybrid probabilistic forecasting model (HPFM) was developed for short-term electricity market prices (EMP) combining wavelet transforms (WT), hybrid particle swarm optimization (DEEPSO), adaptive neuro-fuzzy inference system (ANFIS), and Monte Carlo simulation (MCS). The proposed hybrid probabilistic forecasting model (HPFM) was tested and validated with real data from the Spanish and Pennsylvania-New Jersey-Maryland (PJM) markets. The proposed model exhibited favorable results and performance in comparison with previously published work considering electricity market prices (EMP) data, which is notable.

Abstract
Virtual Reality is becoming more popular over the years because it allows the user to be the main actor in another environment and interact with it in real time. New interaction methods are being studied, like tangible interfaces, but there is little work done related to small distances when grabbing objects through a virtual environment. This study is important because, in our perspective, interaction in virtual reality will be at arms reach, meaning that the user will interact within very close distances (under 1 m). In this paper, the research team further evaluate distance perception using gender, the presence of avatar and height (fixed or personalised). The sample consisted of 64 participants (32 females and 32 males) evenly distributed between all four conditions (8 males and 8 females for each condition). Results revealed that gender does have an impact on small distance estimation; height does not have an impact on distance estimation; and avatar does make a difference when trying to grab a real object through the virtual environment.

Abstract
Additive Manufacturing (AM) is one of the most trending production technologies, with a growing number of companies looking forward to implementing it in their processes. Producing through AM not only means that there are no supplier lead times needed to account for, but also enables production closer to the end customer, reducing then the delivery time. This is especially true for companies with a wide range of low and variable demand products. This paper proposes a mixed integer linear programming (MILP) model for the optimal design of supply chains facing the introduction of AM processes. In the addressed problem, the 3D printers allocation to distribution centers (DC), that will make or customize parts, and the Suppliers-DC-Customers connections for each product need to be defined. The model aims at minimizing the supply chain costs, exploring the trade-offs between safety stock and stockout costs, and between buying and 3D printing a part. The main relevant characteristics of this model are the introduction of stock service levels as decision variables and the use of a linearization of the cumulative distribution function to account for demand uncertainty. A real-world problem from a maintenance provider is solved, showing the applicability of the model. © 2019, IEOM Society International.