The learning path to neural network industrial application in distributed environments

Industrial companies focus on efficiency and cost reduction, which is very closely related to production process safety and secured environments enabling production with reduced risks and minimized cost on machines maintenance. Legacy systems are being replaced with new systems built into distributed production environments and equipped with machine learning algorithms that help to make this change more effective and efficient. A distributed control system consists of several subsystems distributed across areas and sites requiring application interfaces built across a control network. Data acquisition and data processing are challenging processes. This contribution aims to present an approach for the data collection based on features standardized in industry and for data classification processed with an applied machine learning algorithm for distinguishing exceptions in a dataset. Files with classified exceptions can be used to train prediction models to make forecasts in a large amount of data.Web of Science912art. no. 224

Civil Society Monitoring Report on the Implementation of the National Roma Integration Strategy and Decade Action Plan in 2012 in: the Czech Republic

The situation of the Roma minority is one of the Czech Republic's most urgent social and human rights problems. The Czech Republic seeks to address this complex problem with a wide range of activities. The overall direction of the Czech Republic's integration policy is defined in two strategic documents: the Concept for Roma Integration 2010-2013 and the Strategy for Combating Social Exclusion 2011-2015. The former document has at the same time the status of the Czech Republic's National Strategy for Roma Inclusion (NSRI), as it was translated and sent to Brussels in response to the European Commission's request to all member states to develop national strategies for Roma inclusion. Initiated by the Decade of Roma Inclusion Secretariat Foundation and written by a coalition of Czech non-governmental organisations (NGOs), this report is intended to provide an independent assessment of the Czech Republic's progress in achieving the goal of Roma inclusion as defined in the Concept for Roma Integration/Czech NSRI. Focussing on six topics: education, employment, health, housing, anti discrimination, and structural requirements, the European Commission provided the member states with feedback on their strategies and made recommendations as to how the strategies could be improved. With a view to providing additional feedback from the perspective of civic society organisations, the Decade Secretariat decided that the independent civic society reports would focus on the same topics.Due to this decision, this report does not cover all the dimensions of Roma integration that are covered by the Czech Concept for Roma Integration, which also includes chapters on the support of Roma identity and culture. However, the decision to limit this report to the social, economic and legal aspects of Roma integration should in no way be interpreted as a disregard for questions related to Roma identity and empowerment. On the contrary, the authors demonstrate throughout the report how the hitherto applied integration strategies fail to give the Roma communities a chance to participate actively in the process of integration. One of the most important challenges for the coming years will be to develop funding mechanisms that will be more accessible for Roma and to introduce better mechanisms for the participation of Roma in decision-making. The first part of this summary follows the report's thematic structure. In the case of each of the six thematic chapters a few key messages will be highlighted. The full text of this report provides more comprehensive information on particular policies and programmes. The second part of this summary has been used to draw attention to three particular cross-sectoral challenges which have surfaced in many of the thematic chapters

Smart Sensor Technologies for IoT

The recent development in wireless networks and devices has led to novel services that will utilize wireless communication on a new level. Much effort and resources have been dedicated to establishing new communication networks that will support machine-to-machine communication and the Internet of Things (IoT). In these systems, various smart and sensory devices are deployed and connected, enabling large amounts of data to be streamed. Smart services represent new trends in mobile services, i.e., a completely new spectrum of context-aware, personalized, and intelligent services and applications. A variety of existing services utilize information about the position of the user or mobile device. The position of mobile devices is often achieved using the Global Navigation Satellite System (GNSS) chips that are integrated into all modern mobile devices (smartphones). However, GNSS is not always a reliable source of position estimates due to multipath propagation and signal blockage. Moreover, integrating GNSS chips into all devices might have a negative impact on the battery life of future IoT applications. Therefore, alternative solutions to position estimation should be investigated and implemented in IoT applications. This Special Issue, “Smart Sensor Technologies for IoT” aims to report on some of the recent research efforts on this increasingly important topic. The twelve accepted papers in this issue cover various aspects of Smart Sensor Technologies for IoT

Spationomy

This open access book is based on "Spationomy – Spatial Exploration of Economic Data", an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works