Abstract
This document covers the questions for students that participated in a mobility program, that are short-term students and full time students from different countries. With the central question being why mobility students choose Kauno Kolegija. It is the main goal to find out their opinion about the school starting with the question, what was their motivation to study in Kauno Kolegija. 53 students participated in the survey, being the majority of them Erasmus students. The data was obtained by a survey that took the form of an online questionnaire. This survey includes answers from EU and Non-EU students and it is based in a quantitative survey, which is after studied using graphical analysis program SPSS. The major objective of this research is to help Kauno Kolegija with the best information and results to provide the responsible people enough material to improve and increase the incoming students flow into the school from mobility studies and internships. Since the Erasmus program started the flow of students has been going up and down, having students from Turkey as 40% of the income, Kauno Kolegija will benefit with the results by understanding why East Europe and nearby countries has more incoming students than West Europe and be able to fight this unbalance.

Abstract
A Sleeping Beauty (SB) is a publication that goes unnoticed for a long time, and then, almost suddenly, is awakened by a 'prince' (PR), attracting from there on a lot of attention in terms of citations. Although there are some studies on the SB and the PR phenomena in the sciences, barely any research on this topic has been conducted in the social sciences, let alone in innovation studies. Based on 52,373 articles extracted from the Web of Science and using a new method that, comparatively with extant methods, selects SBs with the highest scientific impact, we found that, similarly to the sciences, SBs are rare in the field of innovation (<0.02%). In contrast with the sciences, the depth of sleep is relatively small, ranging from 7 to 17 years. All the 8 SBs found, and the (37) corresponding princes, were published in highly renowned journals (e.g., Harvard Business Review, Journal of Management Studies, Organization Studies, Rand Journal of Economics, Research Policy). The explanations for the delayed recognition are associated with innovative methods, scientific resistance, and theoretical-relatedness. The role of highly influential authors and self-awakening mechanisms were critical triggers for bringing SBs into scientific notoriety.

Abstract
The voltage stability security is a very important and relevant issue in the modern power networks. The voltage instability can drive the system to a blackout. One of the methodologies to deal with this problem is analysing the trajectory sensitivity of the system. The STATCOM is an important hardware that is used to improve the voltage stability of an electric power network. The main objective of this paper is to analyse the results of different studies that were realized in a power system with wind farms. The wind farms were modelled considering that the wind turbines were equipped with pitch control coupled with a Permanent Magnet Synchronous Generator. The EUROSTAG program was used to obtain the simulation results. The Matlab software package was used for the post-processing module developed.

Abstract
With the growing interest in research in poker, by scientists belonging to the area of Artificial Intelligence, has arisen the need to overcome the imperfect information of the same, as a stochastic game, by the challenges that this enables. In this work we intend to create data models that allow us to know the plays of a real player, supporting the decision to play in the pre-flop phase, within the Texas Hold'em side. To accomplish this, several Data Mining techniques were applied for classification, using RapidMiner software. The development of this work was based on data from online games of professional poker players, who had important information of the factors inherent to a real game.

Abstract
New achievements in information and communication technologies (ICT) are drastically influencing several industrial sectors. The provision of connectivity, networked entities, real-time data, and pervasive information is shifting paradigms in industries. However, this rapid evolution requires a proper comprehension and defmition by scholars and practitioners in order to achieve a broad dissemination of the technological progress. Today, the trend towards a digital revolution in manufacturing is known as "Industry 4.0". However, the footprint of these evolutions, the technological borders, and the application frameworks are not yet specified. Therefore, the adoption of this paradigm change still requires more research to further develop the knowledge about the drivers and accomplishments of Industry 4.0. Towards this goal, this paper reviews some major EU industrial guidelines, roadmaps, and scientific literature that led to the depiction of the term Industry 4.0, and explores how key technologies and concepts have been addressed over time. (C) 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the Manufacturing Engineering Society International Conference 2017.

Abstract
Real world optimization problems like Scheduling are generally complex, large scaled, and constrained in nature. Thereby, classical operational research methods are often inadequate to efficiently solve them. Metaheuristics (MH) are used to obtain near-optimal solutions in an efficient way, but have different numerical and/or categorical parameters which make the tuning process a very time-consuming and tedious task. Learning methods can be used to aid with the parameter tuning process. Racing techniques have been used to evaluate, in a refined and efficient way, a set of candidates and discard those that appear to be less promising during the evaluation process. Case-based Reasoning (CBR) aims to solve new problems by using information about solutions to previous similar problems. A novel Racing+CBR approach is proposed and brings together the better of the two techniques. A computational study for the resolution of the scheduling problem is presented, concluding about the effectiveness of the proposed approach.