Abstract
The trends of the 21st century are challenging the traditional production process due to the reduction in the life cycle of products and the demand for more complex products in greater quantities. Industry 4.0 (I4.0) was introduced in 2011 and it is recognized as the fourth industrial revolution, with the aim of improving manufacturing processes and increasing the competitiveness of industry. I4.0 uses technological concepts such as Cyber-Physical Systems, Internet of Things and Cloud Computing to create services, reduce costs and increase productivity. In addition, concepts such as Smart Factories are emerging, which use context awareness to assist people and optimize tasks based on data from the physical and virtual world. This article explores and applies the capabilities of context-aware applications in industry, with a focus on production lines. In specific, this paper proposes a context-aware application based on a microservices approach, intended for integration into a context-aware information system, with specific application in the area of manufacturing. The manuscript presents a detailed architecture for structuring the application, explaining components, functions and contributions. The discussion covers development technologies, integration and communication between the application and other services, as well as experimental findings, which demonstrate the applicability and advantages of the proposed solution.

Abstract
The Wi-Fi networks are more and more omnipresent in our quotidian. It is a cheap technology that is available in many places, public or private (e.g.: schools, hospitals, public transports). The vulgarization of this technology is related to the impact that the concept of Internet of Things (IoT) has been having during the last years, revolutionizing the way to interact with “things”. The use of Unmanned Vehicles (UV) tends to increase, for ludic or professional ends. These vehicles allow to assist and minimize the human intervention in many situations, but one of the associated problems settles in their communication architecture that needs the use of an ad-hoc remote controller that restricts the control area. This work intends to explore the ESP8266 microcontroller to control a UV over a Wi-Fi connection. Three architectures that support the interaction with the vehicle are presented and specified. The real test scenario validated all the described architectures to control the vehicles. © Springer Nature Switzerland AG 2019.

Abstract
The arrival of Unmanned Aerial Vehicles (UAV) to the consumer market has been changing the way we interact with our surroundings. Fields like cinema and photography are improving with the possibility of reaching unsafe areas, as much as industry related companies that can now supervise their infrastructures safely. Besides many other professional areas, this fever also got into sports and UAV racing became a new way to compete. There are limited alternatives to control a UAV, each one with its pros and cons. The most reliable is the conventional handheld controller, a bulky equipment that requires practice and dexterity to be a good pilot. Consequently, technologically illiterate individuals, users with low dexterity or hand malformations and elders are departed from this game breaking technology, either for professional or recreational purposes. To expand the control of UAV to more member of our society, a different control equipment should be developed. In this paper we propose a solution based in two lightweight hand worn devices sensitive to motion changes. These changes are used to detect modifications in the orientation of the device, which are then transmitted through Bluetooth Low Energy (BLE) to a mobile app that is responsible for their interpretation as simple input or input patterns. The result of this interpretation should be used as flight commands to control a UAV. Through simple and intuitive hand movements, users can accurately pilot a quadcopter. This alternative presents a new and easier approach to control UAV that decreases the time that is required to learn how to use it, with the outcomes of an accentuated learning curve. The results obtained with the usability tests performed with users with different capacities of interaction, confirmed the viability of this solution, as much as its simplicity and intuition in the control. © Springer Nature Switzerland AG 2019.

Abstract

Abstract
Higher Education Institutions must define and monitor strategies and policies essential for decision-making in their various areas and levels, in which Business Intelligence plays a leading role. This research addresses the problem of Business Intelligence system adoption in Higher Education Institutions, with a view, in the first instance, to identify and characterise the strategic objectives that underpin decision-making, activities, processes, indicators and information in Higher Education Institutions. After a literature review, it was found that the absence of a roadmap that can serve as a reference to implement a Business Intelligence system in Higher Education Institutions may limit the adoption of this type of solution. Therefore, this research intends to present the methodology of a proposed roadmap for the implementation of Business Intelligence systems in Higher Education Institutions, that allows for increasing its capacity for analysis and evaluation of the data and information available in the various systems and platforms. © 2023 ICSBT International Conference on Smart Business Technologies. All rights reserved.

Abstract
Background: Pelvic floor muscle training can cure or alleviate stress urinary incontinence. This study aimed to evaluate maximum voluntary contractions of the pelvic floor muscle in sportswomen and verify the association with leg stiffness and muscle power, both maximal and submaximal. Methods: The sample consisted of 41 sportswomen between 18 and 42 years of age. Pelvic floor muscle strength was measured by the manometer. The sportswomen were instructed to perform 3 maximum voluntary contractions of the perineum, held for 3 seconds. Maximal and submaximal leg stiffness and muscle power were measured with a force platform, in two conditions: 1st condition was the sub-maximal, double leg hop test, which was performed allowing sportswomen to self-select their preferred frequency and 2nd condition was the maximal double leg hop test, which was performed asking athletes to maximize hop height and minimize contact time on the top of the force platform for 6 consecutive hops. Findings: Maximal and submaximal leg stiffness values increase with increasing age, weight, height, and body mass index, showing positive and significant (p <0.05) or close correlations. There are strong positive correlations between maximal and submaximal leg stiffness (r = 0.759) and between maximal and submaximal muscle power. Maximum voluntary contractions values decrease with increasing leg stiffness: the correlation is significant with maximal leg stiffness. Interpretation: Maximum voluntary contractions values decrease with increasing leg stiffness and increase with increasing muscle power values. If the training program aims to increase muscle power, it may also increase maximum voluntary contractions.