Abstract
Serious games are increasingly being used as innovative tool for developing entrepreneurial skills, such as strategic management, leadership, communication, negotiation or decision making. FLIGBY is a serious game that was initially developed with the objective of simulating the business management process and the application of Flow theory in a business context. However, most recently it has been suggested that serious games in general, and FLIGBY in particular, can be used in other contexts, namely in the development of entrepreneurial skills. In this sense, this study tries to verify if the competences developed and evaluated in FLIGBY on the Master Analytics Profiler (MAP) can be used to evaluate the entrepreneurial capacities of the students in the context of the course of entrepreneurship in a higher education institution. The findings indicate that the performance of these students in FLIGBY is very similar to the benchmark with only small oscillations. However, some asymmetries emerged considering the educational and professional experience, such that the students of the management course showed better business-oriented thinking and IT students revealed greater time-management skills. Finally, professional experience has proved to be relevant for making decisions about stress and for the completion of managerial tasks successfully.

Abstract
Soil moisture (SM) at three depths (15, 25, and 30 cm), derived from the optical trapezoidal model (OPTRAM), was used for multiyear, multisite monitoring of agricultural droughts over two agricultural crops (Maize and Soybean) in southern Mozambique. The OPTRAM was implemented using satellite data from Sentinel-2 and was validated against field SM assessed by gravimetric methods and by Watermark Sensors in sandy-soils with very low water holding capacity (0.13 cm(3)/cm(3)). The OPTRAM model estimated the SM at 15 and 25 cm yielding a R-2 >= 0.79 and RMSE <= 0.030 cm(3)/cm(3). The OPTRAM-derived SM was successfully used as input to compute and map the soil water deficit index, an indicator of agricultural drought. The results indicate that OPTRAM can provide useful information to improve water productivity in cropland under the specific conditions of Mozambique agricultural systems and for early warning systems development. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)

Abstract
This paper proposes a computer assisted diagnostic system for the detection of melanoma in dermoscopy images. Clinical findings have concluded that in case of melanoma, the lesion borders exhibit differential structures such as pigment networks and streaks as opposed to normal skin spots, which have smoother borders. We aim at validating these findings by performing segmentation of the skin lesions followed by an extraction of the peripheral region of the lesion that is subjected to feature extraction and classification for detecting melanoma. For segmentation, we propose a novel active contours based method that takes an initial lesion contour followed by the usage of Kullback-Leibler divergence between the lesion and skin to fit a curve to the lesion boundaries. After segmentation of the lesion, its periphery is extracted to detect melanoma using image features that are based on local binary patterns. For validation of our algorithms, we have used the publicly available PH2 and ISIC dermoscopy datasets. An extensive experimental analysis reveals two important findings: 1) the proposed segmentation method mimics the ground truth data; and 2) the most significant melanoma characteristics in the lesion actually lie on the lesion periphery.

Abstract
At the time of more and more devices being connected to the internet, personal and sensitive information is going around the network more than ever. Thus, security and privacy regarding IoT communications, devices, and data are a concern due to the diversity of the devices and protocols used. Since traditional security mechanisms cannot always be adequate due to the heterogeneity and resource limitations of IoT devices, we conclude that there are still several improvements to be made to the 2nd line of defense mechanisms like Intrusion Detection Systems. Using a collection of IP flows, we can monitor the network and identify properties of the data that goes in and out. Since network flows collection have a smaller footprint than packet capturing, it makes it a better choice towards the Internet of Things networks. This paper aims to study IP flow properties of certain network attacks, with the goal of identifying an attack signature only by observing those properties.

Abstract
In the era of the 4th industrial revolution, manufacturing companies are digitally transforming their businesses, processes and factories to address the current market demands. Among several opportunities, the dynamic monitoring of strategical indicators assume a crucial importance for the rapid awareness of the adaptation and optimization of a manufacturing process. In particular, the analysis of the effect that the variation of business factors will provoke in the associated performance indicators will allow to take strategical decisions to mitigate the occurrence of condition changes, as well as to optimize the system operation to face business opportunities. This paper describes the deployment of a KPI (Key Performance Indicators) monitoring tool in an industrial factory producing micro-waves, allowing the fast production reconfiguration facing the continuously and rapidly changing market conditions.

Abstract
The human gait shows the single efficiency and functionality and can be considered the most complex functional activity of the human being. Foot drop can be defined as a significant weakness in the dorsal flexion of the foot. The functional electrical orthosis (FEO) are devices that use electrical stimulation to promote functional movements. Besides the FEO promotes the improvement of muscular tropism, this mechanism can be a source of relearning, because all events are interpreted by the body as his owns. This research sought to analyze the impact of the electrostimulation through the Walkaide (R) system in the angular movement of individuals with foot drop. The data were collected from seven patients and the focus of the evaluation of this research was the subtalar joint angle. After analyze the results, it could be seen that the Walkaide (R) promoted a significant gait improvement, meanly about the compensatory movements.