Abstract
There are more than one million people, each year, that will suffer a lower limb amputation. This condition occurs as a result of a wide range of diseases: diabetes, trauma or malignant tumors. An amputation means disability and a poor quality of life. The major challenge in the development of a prosthesis lies in restoring the missing human function, i.e. locomotion while maintaining the biomechanical requirements of the ankle joint. Thus, this work addresses the field of the artificial devices that replace the ankle-foot. The goal of this work is to sketch a 3D model of a transtibial prosthesis, and to find and implement a dynamic model of human ankle joint motion, in order to be used in a future control system strategy. Thereby, this work represents the first steps towards the development of a transtibial prosthesis. © 2018 by World Scientific Publishing Co. Pte. Ltd.

Abstract
Using Fourier methods to reconstruct the phase measured by a wavefront sensor (WFS) can significantly re- duce the number of computations required, as well as easily enable predictive reconstruction methods based on knowledge of the adaptive optics system, atmospheric turbulence and wind profile. Previous work on Fourier re- construction has focused on the Shack-Hartmann WFS. With increasing interest in the highly sensitive Pyramid WFS we present the development of Fourier reconstruction tools tailored to the Pyramid sensor. We include the development of the Fourier model, it's use for formulating error budgets and a laboratory demonstration of Fourier reconstruction with a Pyramid WFS.

Abstract
The main goal of this chapter is to identify the procedures and management methods used by firms of the furniture industry on collaborative new product development (CNPD) involving supplier–customer relationships. Using a qualitative methodology involving the analysis of eight firms, it is possible to conclude that: (1) the majority of the firms studied use throughout their R&D activities the principles of open innovation; (2) the wood and metallic furniture industries present divergent characteristics concerning the coordination and management of resources associated with CNPD; (3) all firms encourage the involvement of the suppliers in the CNPD process; (4) the management procedures used during the CNPD process are directly related to the size of the firms and the sub-sector they operate; (5) the CNPD process is underpinned by the business relationships between all the parties involved, as well as by the type of products, type of industry, and size of the firms; (6) there are differences in the CNPD processes between firms from the wood furniture industry and firms from the metallic furniture industry. © Springer International Publishing AG 2018.

Abstract
The new paradigms of Industry 4.0 demand the collaboration between robot and humans. They could help and collaborate each other without any additional safety unlike other manipulators. The robot should have the ability of acquire the environment and plan (or re-plan) on-the-fly the movement avoiding the obstacles and people. This paper proposes a system that acquires the environment space, based on a kinect sensor, performs the path planning of a UR5 manipulator for pick and place tasks while avoiding the objects, based on the point cloud from kinect. Results allow to validate the proposed system. © Springer International Publishing AG 2018.

Abstract

Abstract
Ensemble models have been proven successful for batch recommendation algorithms, however they have not been well studied in streaming applications. Such applications typically use incremental learning, to which standard ensemble techniques are not trivially applicable. In this paper, we study the application of three variants of online gradient boosting to top-N recommendation tasks with implicit data, in a streaming data environment. Weak models are built using a simple incremental matrix factorization algorithm for implicit feedback. Our results show a significant improvement of up to 40% over the baseline standalone model. We also show that the overhead of running multiple weak models is easily manageable in stream-based applications.