Abstract
The big growth of electrical demand by the countries required larger and more complex power systems, which have led to a greater need for monitoring and maintenance of these systems. To overcome this problem, UAVs equipped with appropriated sensors have emerged, allowing the reduction of the costs and risks when compared with traditional methods. The development of UAVs together with the great advance of the deep learning technologies, more precisely in the detection of objects, allowed to increase the level of automation in the process of inspection. This work presents an electrical assets monitoring system for detection of insulators and structures (poles and pylons) from images captured through a UAV. The proposed detection system is based on lightweight Convolutional Neural Networks and it is able to run on a portable device, aiming for a low cost, accurate and modular system, capable of running in real time.

Abstract
This case study presents a virtual reality experts' evaluation of a desktop-based virtual world developed towards distance education, under the perspectives of usability and sense of presence, which are considered factors that can potentially influence learning outcomes. Among the results, data from usability and sense of presence were positively correlated. The sense of presence was achieved, with participants losing track of time while performing the activity. Experts agreed that the virtual world is easy to use and can prepare students for the real-world task. The findings outline positive and negative points that must be addressed in order to optimize the experience of distance education students.

Abstract

Abstract
Accessibility is important to include people with disabilities in public life. People with disabilities experience problems in their lives due to products which aren’t designed for them. Addressing these problems is the responsibility of all humanity and the search for solutions should increase. Improving disabled persons’ lives is only possible by applying some rules to product design, such as, improving use-case scenarios. Software solutions must be considered as products in this case. Developing special software programs and upgrading existing solutions to improve the user experience for disabled persons is the obligation of all software developers. Even though the mouse is one of the most important tools, required to access webpages and many other software programs, using it can be a huge problem for people with disabilities, such as, paralysis patients. Therefore, throughout history, different types of methods have been presented as solution. Most of them are not suitable, due to various reasons, like, economic feasibility, mechanic stability and bad designs. In this work, a new method, with more in-built modern and simple technologies, is presented as an alternative to others. To outclass the good economic advantage of its competitors, a limit was set on a low budget webcam and low-tier computer specifications. The Camera tracks the user’s head movements and reacts according to it, using as measurement some metrics about the physiology of human body. Machine learning is used to extract face features and learn the user’s face to determine mouse movements. Machine learning was kept as simple as possible, in order to cope with the low system specification limitations. The main topic of the work is the design and development experience. The solution was tested with a small group of participants and their feedbacks were taken to plan for future improvements. In generally, the users’ comments were good, although some features, such as sensitivity, should be improved. The result of this work will be used to improve the software solution and hopefully will touch the life of people with disabilities. © 2020, Springer Nature Switzerland AG.

Abstract
An academic library created an online course in information literacy skills in 2007 for engineering students. This chapter reports the evaluation of the course's effectiveness in developing those skills. In the academic year 2015/2016, a case study with a mixed-methods approach was applied to 5th-year students (N=91) enrolled in a course unit for Master Dissertation's preparation in the informatics and computing engineering programme. Students showed high confidence in their information literacy skills. Online assignments' performance was good, but activities revealed quality issues. Performance in the course unit's assignments reveals a poor application of acquired skills. But satisfaction is high: students value independent learning and online access to resources and content. Despite evidence of some positive impact, the course lacks effectiveness due to issues in the course unit's assignments. Needed improvements include a better realignment with students' needs and a redesign with an instructional model to assure the promotion of students' success. © 2021 by IGI Global. All rights reserved.

Abstract
The study of creativity in the design of prototypes for an organization is of particular interest given its potential for innovation. This article proposes an approach to the design of prototypes using creativity techniques and including sustainability concerns. The application of the approach is illustrated by presenting a real case of development of an aggregator and multidisciplinary prototype for the optimization of social services. The approach includes guidelines for the use of creativity techniques in requirements engineering and for incorporating sustainability concerns.