Analysis of transient transfer properties of current transmitters. COMPUTATIONAL METHODS

In this paper such analytical and numerical methods are presented, which are necessary for the analysis of transient transfer properties of self-integrating and current-integrating type current transmitters operating based on the principle of magnetic voltage measurement. The methods can be used for arbitrary exciter signals. The analytic solution of response signal measurable on the output of the transmitter is also presented, using the analytical method in the case of four given exciter signals (fault far from the generator, fault near to the generator, half-sine wave current, current signal of an inverter)

Analysis of transient transfer properties of current transmitters. Computational Results

In this paper those results and their evaluation are presented, which were calculated based on the analytical and numerical methods worked out in [1] for the analysis of transient transfer properties of self-integrating and current-integrating type current transmitters operating based on the principle of magnetic voltage measurement. The calculations were made for different exciter signals (fault far from the generator, fault near to the generator, half-sine wave current, current signal of an inverter)

The Realization of a Circular Economy in the Construction Industry and Its Adaptation to EU Standards in Hungary

Transforming the linear economy into a circular one in the construction sector is not an easy task. Such a radical change entails a major transformation of the current production and consumption patterns, which in turn will have a significant impact on the economy, the environment, and society. The European Commission sees great potential in the recycling and reuse of construction and demolition waste (CDW) and has also emphasised the importance of this waste stream in its directives on the circular economy. This paper first presents the concept of CDW and its regulatory characteristics. It then introduces the types and sources of CDW. Third, based on an analysis of the literature, the paper identifies the possible links between the CDW and the circular economy and current trends and practices of recovery, reuse, and recovery. Finally, through the examples presented, it gives an overview of the current situation and trends in Hungary and makes recommendations for future development opportunities for the practitioners to help them adapt to recent changes. The options for doing this are important, but the problems that may hinder this process also need to be examined. In this article, the author seeks to find answers to this question

Modeling integrated sustainable waste management systems by fuzzy cognitive maps and the system of systems concept

This paper describes the problems relating to the complexity of modern waste management systems. We present a new approach to selecting a better waste management solution. For a large and complex system it is extremely difficult to describe the entire system by a precise mathematical model. Therefore, we propose the use of Fuzzy Cognitive Maps (FCM), its combination with the Bacterial Evolutionary Algorithm (BEA) and the system of systems approach to support the planning and decision making process of integrated systems

Statistical Approach to Fuzzy Cognitive Maps

Fuzzy cognitive maps are studied from statistical standpoint. An analogy between these maps and linear regression and logistic regression models is drawn. Practical examples are also provided.Peer reviewe

IFC BIM Model Enrichment with Space Function Information Using Graph Neural Networks

The definition of room functions in Building Information Modeling (BIM) using IfcSpace entities is an important quality requirement that is often not fulfilled. This paper presents a three-step method for enriching open BIM representations based on Industry Foundation Classes (IFC) with room function information (e.g., kitchen, living room, foyer). In the first step, the geometric algorithm for detecting and defining IfcSpace entities and injecting them into IFC models is presented. After deriving the IfcSpaces, a geometric method for calculating the graph of connections between spaces based on accessibility is described; this information is not explicitly stored in IFC models. In the final step, a graph convolution-based neural network using the accessibility graph to classify the IfcSpace entities is described. Local node features are automatically extracted from the geometry and neighboring elements. With the help of a Graph Convolutional Network (GCN), the connection and spatial context information is utilized by the neural network for the classification decision, in addition to the local features of the spaces which are more commonly used. To evaluate the classification accuracy, the model was tested on a set of residential building IFC models. A weighted version of the common GCN was implemented and tested, resulting in a slight improvement in the classification accuracy

Ab initio theory of temperature dependent magneto-resistivities

International audienceWe present the first ab initio type descriptions of the temperature dependence of the magnetic part of the electrical conductivity. We implemented the disordered local moment (DLM) scheme into Kubo's linear response formalism using the screened Korringa-Kohn-Rostoker (KKR) approach. In order to test the proposed scheme, we calculated the magnetic resistivity of bulk Fe and Co. The results seem to give a qualitatively correct temperature dependence of the magnetic part of the electrical resistivity in the ferromagnetic region