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Found 6374 publications

Recognition of road types and speed choice

Gabriella Kosztolányi-Iván Csaba Koren Attila Borsos

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 343-347

Description:

This paper outlines the recognition process of road types and its influence on speed choice. The appearance and spreading of the term "cognitive infocommunications" led the authors to rethink some of their earlier work from the cognitive perspective. In order to assess the recognition of road types and speed choice a picture sorting exercise and an on-line speed choice survey was completed. Limitations and extensions of the method are also considered.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390616

Application of Decision Support Systems to Water Management: The Case of Iraq

Katalin Bene Nasrat Adamo Hayder Thabit Al Hudaib Nadhir Al-Ansari R. P. Ray

Publication Name: Water Switzerland

Publication Date: 2025-06-01

Volume: 17

Issue: 12

Page Range: Unknown

Description:

Iraq has faced escalating water scarcity over the past two decades, driven by climate change, upstream water withdrawals, and prolonged economic instability. These factors have caused deterioration in irrigation systems, inefficient water distribution, and growing social unrest. As per capita water availability falls below critical levels, Iraq is entering a period of acute water stress. This escalating water scarcity directly impacts water and food security, public health, and economic stability. This study aims to develop a general framework combining decision support systems (DSSs) with Integrated Comprehensive Water Management Strategies (ICWMSs) to support water planning, allocation, and response to ongoing water scarcity and reductions in Iraq. Implementing such a system is essential for Iraq to alleviate its continuing severe situation and adequately tackle its worsening water scarcity that has intensified over the years. This integrated approach is fundamental for enhancing planning efficiency, improving operational performance and monitoring, optimizing water allocation, and guiding informed policy decisions under scarcity and uncertainty. The current study highlights various international case studies that show that DSSs integrate real-time data, artificial intelligence, and advanced modeling to provide actionable policies for water management. Implementing such a framework is crucial for Iraq to mitigate this critical situation and effectively address the escalating water scarcity. Furthermore, Iraq’s water management system requires modifications considering present and expected future challenges. This study analyzes the inflows of the Tigris and Euphrates rivers from 1933 to 2022, revealing significant reductions in water flow: a 31% decrease in the Tigris and a 49.5% decline in the Euphrates by 2021. This study highlights the future 7–20% water deficit between 2020 and 2035. Furthermore, this study introduces a flexible, tool-based framework supported by a DSS with the DPSIR model (Driving Forces, Pressures, State, Impacts, and Responses) designed to address and reduce the gap between water availability and increasing demand. This approach proposes a multi-hazard risk matrix to identify and prioritize strategic risks facing Iraq’s water sector. This matrix links each hazard with appropriate DSS-based response measures and supports scenario planning under the ICWMS framework. The proposed framework integrates hydro-meteorological data analysis with hydrological simulation models and long-term investment strategies. It also emphasizes the development of institutional frameworks, the promotion of water diplomacy, and the establishment of transboundary water allocation and operational policy agreements. Efforts to enhance national security and regional stability among riparian countries complement these actions to tackle water scarcity effectively. Simultaneously, this framework offers a practical guideline for water managers to adopt the best management policies without bias or discrimination between stakeholders. By addressing the combined impacts of anthropogenic and climate change, the proposed framework aims to ensure rational water allocation, enhance resilience, and secure Iraq’s water strategies, ensuring sustainability for future generations.

Open Access: Yes

DOI: 10.3390/w17121748

Indicators of sustainability

Guzli Piroska Bulla Miklós

Publication Name: Journal of Landscape Ecology

Publication Date: 2008-10-23

Volume: 6

Issue: 1-2

Page Range: 1-15

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Identification and interpretation of acausal synchronistic cognitive networks Part I. Jung and Pauli as joint observers

Peter Varlaki Péter Baranyi

Publication Name: 4th IEEE International Conference on Cognitive Infocommunications Coginfocom 2013 Proceedings

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 823-838

Description:

The paper discusses the modelling and identification possibilities of acausal synchronistic cognitive networks concerned as a hypothetical 'artifacts' of collective unconscious processes. This part of the paper deals with the analysis and interpretation via 'joint observations' of Jung and Pauli. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2013.6719213

Predicting Natural Frequencies of a Cantilever Using Machine Learning

Ambrus Zelei Krisztián Horváth

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 105-111

Description:

In the context of structural analysis and design, natural frequencies play a vital role, and their prediction is essential in machine and vehicle design processes. The simulations related to the modal parameters are computationally intensive for systems with large complexity. This paper demonstrates on an illustrative academic example that natural frequencies can be successfully predicted using ML models. This paper aims to develop a model based on machine learning (ML) to predict a simple cantilever's natural frequencies based on the physical parameters of the beam. The independent variables X are the geometric parameters including width, length, and thickness, while the dependent variable Y is the natural frequency. The study is framed using a systematic methodology that covers the stages of data collection, ML model selection, model training and validation. The validation process proves the effectiveness of ML as a computationally cheap replacement for traditional methods of prediction. The current research contributes to the investigation of the usage of commercially available ML tools in structural engineering. We report that the ODYSSEE A-Eye software is capable of natural frequency prediction with a varying geometry structure with less than 4% error for an 80-member training set of cantilever beam with various dimensions. Further developments will include considerations of noise, vibration, and harshness (NVH) to enhance system performance and improve user comfort.

Open Access: Yes

DOI: 10.3233/ATDE240533

Influence of the Tolerances of the Threaded Joints on Preloaded Bolted Connection

Bider Zsolt

Publication Name: Strojnicky Casopis Journal of Mechanical Engineering

Publication Date: 2025-04-01

Volume: 75

Issue: 1

Page Range: 173-178

Description:

On the base of experimental results we can conclude that the mini bolt and large internal threads as well as large bolt and mini internal thread combination leads to developing of not satisfied preload. It means that the combination of marginal values of the tolerance field could cause "loose"or "forced"fittings. If we consider the presence of lubricant it could effect the overloading of the bolt connection.

Open Access: Yes

DOI: 10.2478/scjme-2025-0018

Exploration Techniques in Reinforcement Learning for Autonomous Vehicles †

Áron Ballagi Ammar Khaleel

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Autonomous vehicles (AVs) have the potential to revolutionize the transportation system by enhancing road safety, reducing traffic congestion, and freeing drivers from monotonous tasks. Effective exploration is essential for AVs to navigate safely and adapt to dynamic environments. Reinforcement learning (RL) enables AVs to learn optimal behaviors through continuous interaction with their environment. This paper reviews recent RL research on designing exploration strategies for single- and multi-agent AV systems. It categorizes exploration methods based on underlying principles and addresses the challenges. It analyzes key RL algorithms’ strengths, limitations, and empirical performance. By compiling and analyzing the current state of research, this paper aims to facilitate future advancements in AV exploration using RL, offering insights into current trends and future directions in this evolving field.

Open Access: Yes

DOI: 10.3390/engproc2024079024

Individual and institutional influences on EU labour market returns to education: a comparison of the effect of the 2008 economic crisis on eight EU countries

Ellu Saar Margarita Kazjulja Péter Róbert

Publication Name: European Societies

Publication Date: 2020-03-14

Volume: 22

Issue: 2

Page Range: 157-187

Description:

This paper explores cross-national variations in the impact of education on labour market outcomes using the risk of unemployment and occupational status as the key dependent variables. The study applies a comparative perspective on eight EU countries (three from CEE), representing different relationships between the education system and the labour market with various degrees of inequality, welfare provisions and labour market flexibility. A temporal comparison investigates the influence of the 2008 economic crisis. The study employs data from the European Union Labour Force Survey 2007, 2009 and 2014. Binary and ordinary least squares regressions are the main analytical methods. Models are fitted to the pooled data and interactions are applied to elaborate on country and temporal variations. The analysis reveals the persistence of returns to school investments; the crisis exerts bigger risk and loss for the less educated. However, this impact is markedly shadowed by the institutional variation at the country level. High flexibility and low inequality could provide some defence, while corporatist features and employment protection decreased the crisis effects. Post-communist countries were hit harder but with a characteristic variance: Slovenia was less affected, Estonia recovered the crisis faster and Hungary was affected at most.

Open Access: Yes

DOI: 10.1080/14616696.2019.1636110

Evaluation of human behaviour at pedestrian crossings

Emese Makó

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 443-447

Description:

Road traffic crashes result from a combination of factors related to the road layout, the vehicles, the road users and the way they interact. First the main causes of pedestrian fatalities and the safety effects of road measures (traffic lights, roundabouts and refuge islands) at pedestrian crossings before and after implementation were investigated. The results indicate that there is a strong evidence for the positive effect of these measures especially on the number of the pedestrian related accidents. In the next phase a site survey was conducted in order to estimate the irregular crossing manoeuvres of car drivers and pedestrians at designated pedestrian crossings. Having analysed the irregular movements according to the type of crossing it was found, that car drivers behave the most irregularly at crossings without a refuge island. Crossings equipped with flashing yellow lights, refuge islands and traffic lights require a much more appropriate behaviour from car drivers. In the next phase of the research the waiting time of pedestrians and the delay of vehicle drivers again at pedestrian crossings were surveyed. Our results suggest that there is a need for a strong contribution of the human and the engineering fields integrating the tools of cognitive infocommunications to obtain an even more positive change in the safety of vulnerable road users.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390634