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.

Abstract
Deterministic Synchronous Multichannel Extension (DSME) is a prominentMAC behavior first introduced in IEEE 802.15.4e supporting deterministic guarantees using its multisuperframe structure. DSME also facilitates techniques like multi-channel and Contention Access Period (CAP) reduction to increase the number of available guaranteed timeslots in a network. However, any tuning of these functionalities in dynamic scenarios is not explored in the standard. In this paper, we present a multisuperframe tuning technique called DynaMO which tunes the CAP reduction and Multisuperframe Order in an effective manner to improve flexibility and scalability, while guaranteeing bounded delay. We also provide simulations to prove that DynaMO with its dynamic tuning feature can offer up to 15-30% reduction in terms of latency in a large DSME network. © Copyright held by the authors.

Abstract
Never The Less is a live audio-visual (A/V) networked performance, where participants are able to interact remotely and collaboratively. It adopts the newly-proposed web-based A/V Akson system, designed for an internet infrastructure, which allows both musical and visual content generation and interaction across multiple devices in remote locations. The system was built with great emphasis on live-performance and human collaboration, where experts and non-experts (i.e., artists and public) exist at the same level.