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OLD AND NEW CHALLENGES IN REGIONAL DEVELOPMENT – COMPARATIVE ANALYSIS OF EUROPEAN REGIONAL DEVELOPMENT POLICY APPROACHES TO IDENTIFYING BENEFICIARY REGIONS
Publication Name: Deturope
Publication Date: 2025-01-01
Volume: 17
Issue: 3
Page Range: 50-74
Description:
Most European countries apply development policy solutions to help disadvantaged regions catch up and seek effective solutions for territorial cohesion. This endeavour has been strongly supported by the European Commission in both the 2013-2020 and 2021-27 programming periods and is likely to remain so in the period after 2028. This is an understandable and logical endeavour, as being 'left behind' in economic, social or geographical terms not only reinforces internal migration flows within the European Community and its Member States but also increases political discontent. A number of approaches have emerged in European countries to identify disadvantaged regions and address their problems. The differences stem partly from the different intervention intentions of individual countries and partly from their different spatial, state and public administration structures. Various development policy solutions have been devised to help disadvantaged regions catch up, taking these factors into account. In Hungary, development policy has placed greater emphasis on the catching up of regions and settlements lagging behind in terms of socio-economic development since the 1980s, but the importance of delimitation in development policy practice has increased since the country's accession to the EU, with the establishment of differentiated support resource allocation mechanisms and targeted support programmes. The methodology currently in use for designating beneficiary regions has been in place since 2014. The socioeconomic changes that have taken place since then have shifted the focus of both scientific and policy interest in recent years towards more location-specific regulatory mechanisms that measure development differences at a lower level and are more sensitive to functional links between settlements. To support efforts in the renewal of the Hungarian regional development toolkit, our study seeks to outline alternative options by analysing Italian and British development policy practices, in addition to presenting Hungarian beneficiary regions. The international examples examined, despite their limitations as presented in the study, provide examples of multi-level governance, development policies based on functional units, and methodologies for measuring development below the settlement level. Current legislation in Hungary allows for changes in this direction, but their incorporation into domestic practice is only possible after careful preparation.
Open Access: Yes
Two-Degree-of-Freedom Control Systems: The Youla Parameterization Approach
Publication Name: Two Degree of Freedom Control Systems the Youla Parameterization Approach
Publication Date: 2015-06-18
Volume: Unknown
Issue: Unknown
Page Range: 1-514
Description:
This book covers the most important issues from classical and robust control, deterministic and stochastic control, system identification, and adaptive and iterative control strategies. It covers most of the known control system methodologies using a new base, the Youla parameterization (YP). This concept is introduced and extended for TDOF control loops. The Keviczky-Banyasz parameterization (KP) method developed for closed loop systems is also presented. The book is valuable for those who want to see through the jungle of available methods by using a unified approach, and for those who want to prepare computer code with a given algorithm. Provides comprehensive coverage of the most widely used control system methodologies. The first book to use the Youla parameterization (YP) as a common base for comparison and algorithm development. Compares YP and Keviczky-Banyasz (KB) parameterization to help you write your own computer algorithms.
Open Access: Yes
Comparison of supply chain management (SCM) adoption at small and medium-sized enterprises (SMEs): A review from Hungary and Indonesia
Publication Name: Journal of International Studies
Publication Date: 2021-01-01
Volume: 14
Issue: 3
Page Range: 26-42
Description:
Large enterprises recognized first the importance of Supply Chain Management (SCM) strategy to achieve competitive advantage and process efficiency. Small and Medium-Sized Enterprises (SMEs) have specific challenges in adaptation. The authors conjectured that geographical and supply chain differences have a major effect on the adaptation level of SCM strategy and methods, especially for SMEs. To investigate it, this paper compares two countries, Hungary, and Indonesia. The research focus is on SMEs, based on a cross-sectional survey of 274 Hungarian and 110 Indonesian enterprises with informants mainly related to top management. The data indicated that in Indonesia, with a larger, more complex geographical structure and more advanced SCM capabilities, the SMEs have a higher implementation level of SCM strategy in their organization strategy compared to Hungary. However, the sample indicates that the tendencies are similar in both countries interpreting the inter-enterprise value chain and in utilizing SCM methods for cooperation with other parties, mostly using Vendor Managed Inventory (VMI) and Just in Time (JIT).
Open Access: Yes
Modal analysis of the tubular space frame of a formula student race car
Publication Name: Manufacturing Technology
Publication Date: 2020-08-06
Volume: 20
Issue: 1
Page Range: 84-91
Description:
This document presents the characterization of the dynamic mechanical properties of a racecar's frame. First, it introduces the applicability of modal analysis, then the modal analysis of a lightweight vehicle chassis will be detailed, which is the focal point of this paper. This analysis was performed to determine some of the modal parameters, in order to reduce the noise of the vehicle, the probability of a component failure and to improve the comfort. The simulation part of the applied analysis was based on dynamic FEM (Finite Element Method). The measurement part of it was based on measuring the FRFs (Frequency Response Functions), with the help of accelerometers fixed at the nodes of the frame. The excitation signals were provided by a shaker connected to the chassis. In order to provide good quality results, the processing and evaluation of the simulated and measured data has to be done properly, which is discussed in detail. However, one dominant factor of a modal analysis is to find the optimal measurement setup. For this reason, the details of the measurement setup will be included. Hence one of the goals was to improve the coherence curves of the FRFs. Thanks to the presented techniques, the coherence curves managed to be improved and the results of the simulation and the measurement were found to be in good agreement.
Open Access: Yes
Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation
Publication Name: Infocommunications Journal
Publication Date: 2021-01-01
Volume: 13
Issue: 3
Page Range: 14-23
Description:
Fuzzy cognitive maps (FCM) have been broadly employed to analyze complex and decidedly uncertain systems in modeling, forecasting, decision making, etc. Road traffic flow is also notoriously known as a highly uncertain nonlinear and complex system. Even though applications of FCM in risk analysis have been presented in various engineering fields, this research aims at modeling road traffic flow based on macroscopic characteristics through FCM. Therefore, a simulation of variables involved with road traffic flow carried out through FCM reasoning on historical data collected from the e-toll dataset of Hungarian networks of freeways. The proposed FCM model is developed based on 58 selected freeway segments as the “concepts” of the FCM; moreover, a new inference rule for employing in FCM reasoning process along with its algorithms have been presented. The results illustrate FCM representation and computation of the real segments with their main road traffic-related characteristics that have reached an equilibrium point. Furthermore, a simulation of the road traffic flow by performing the analysis of customized scenarios is presented, through which macroscopic modeling objectives such as predicting future road traffic flow state, route guidance in various scenarios, freeway geometric characteristics indication, and effectual mobility can be evaluated.
Open Access: Yes
State space modeling theory of induction machines
Publication Name: Pollack Periodica
Publication Date: 2020-04-01
Volume: 15
Issue: 1
Page Range: 124-135
Description:
The paper discusses the theoretical background of the state space modeling of induction machines. The main goal is to present the necessary equations of the induction machine and the topic of the state space modeling. Although the induction machine is a highly non-linear system, LPV/qLPV model can be formulated from these equations.
Open Access: Yes
Smart Cities and Data Enrichment: The Role of LiDAR and Point Cloud Upsampling in Sustainable Urban Management
Publication Name: Chemical Engineering Transactions
Publication Date: 2025-01-01
Volume: 121
Issue: Unknown
Page Range: 97-102
Description:
Geospatial data with high resolution and spatio-temporal accuracy can further support sustainable infrastructure and optimise urban services to improve the quality of life of city residents. LiDAR-based technologies are commonly used to produce 3D urban models and can include terrestrial laser scanning (TLS), mobile mapping systems (MMS), and airborne platforms such as photogrammetric drones. Point cloud datasets can be utilised for transportation planning and management, utility management, green infrastructure evaluation, and emergency response. Despite the utility of these point cloud datasets, the intrinsic incompleteness or sparsity due to the costs of surveying, the characteristics of the sensors, and environmental occlusion are significant limitations for effective precision modelling at the urban scale. Point cloud upsampling appears to be an innovative modelling gap for synthetically increasing point density, while preserving geometric accuracy. Deep learning–based networks demonstrably reduced the quantified improvements of the point cloud upsampling method. Previous studies have shown that reduced point-to-surface deviation from ~0.146 to ~0.140 (10-2 scale; 6.11 % improvement), and improved distribution uniformity from 0.315 to 0.219 (30.55 % improvement), and frequency-selective geometry upsampling provided up to 4.4×s less point-to-point compared to PU-Net and at 4× upsampling factors These results demonstrate that advanced point cloud upsampling methods would reasonable improve the accuracy or precision of derived products such as digital terrain models (DTMs), canopy height models (CHMs), and other ecological indices that are generally sensitive to point density. This paper reviews the latest upsampling algorithms and proposes a way of thinking and structuring data science that can scale into urban monitoring processes.
Open Access: Yes
DOI: 10.3303/CET25121017
Elasto-Plastic Analysis of Two-Way Reinforced Concrete Slabs Strengthened with Carbon Fiber Reinforced Polymer Laminates
Publication Name: Computation
Publication Date: 2024-05-01
Volume: 12
Issue: 5
Page Range: Unknown
Description:
This study explores a technique for enhancing the punching strength of reinforced concrete (RC) flat slabs, namely carbon fiber reinforced polymer (CFRP). Four large-scale RC flat slabs were fabricated, to assess the efficacy of this strengthening method. One slab served as a reference and the three other specimens were strengthened with CFRP, as a method of external strengthening. These slabs, featuring identical overall dimensions and flexural steel reinforcement, underwent testing until failure, under the influence of concentrated patch loads. A concrete plastic damage constitutive model (CDP) was developed and employed to examine the strength of two-way RC slabs. Additionally, to enhance the strength of existing RC slabs, carbon fiber reinforced polymer (CFRP) strips are affixed to the tension surface of the sections. The research begins with the calibration of a numerical model, based on data from laboratory tests. The objective of this study is to constrain the plastic behavior of two-way RC slabs reinforced with CFRP, with a focus on establishing an optimal elasto-plastic analysis, aimed at controlling concrete damage plasticity using CFRP, and employing a plastic limit load multiplier. Subsequently, a series of numerical simulations, incorporating different variables, are conducted to investigate shear behavior. The numerical results indicate that an increase in the strengthening ratio has a significant impact on shear strength. Finite element simulations are carried out using Abaqus CAE®/2018.
Open Access: Yes
A novel multimodal communication framework using robot partner for aging population
Publication Name: Expert Systems with Applications
Publication Date: 2015-06-01
Volume: 42
Issue: 9
Page Range: 4540-4555
Description:
In developed country such as Japan, aging has become a serious issue, as there is a disproportionate increasing of elderly population who are no longer able to look after themselves. In order to tackle this issue, we introduce human-friendly robot partner to support the elderly people in their daily life. However, to realize this, it is essential for the robot partner to be able to have a natural communication with the human. This paper proposes a new communication framework between the human and robot partner based on relevance theory as the basis knowledge. The relevance theory is implemented to build mutual cognitive environment between the human and the robot partner, namely as the informationally structured space (ISS). Inside the ISS, robot partner employs both verbal as well as non-verbal communication to understand human. For the verbal communication, Rasmussen's behavior model is implemented as the basis for the conversational system. While for the non-verbal communication, environmental and human state data along with gesture recognition are utilized. These data are used as the perceptual input to compute the robot partner's emotion. Experimental results have shown the effectiveness of our proposed communication framework in establishing natural communication between the human and the robot partner.
Open Access: Yes
