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Publications - 6342

Systematic Method of Retrofitting Wastewater Transportation Systems for Enhanced Reliability

Ákos Orosz Kirti M. Yenkie Jean Pimentel Andres Castellar-Freile

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 1075-1080

Description:

While the treatment of wastewater is an important issue that received significant attention in the past decades, improving the related technologies is only one part of a more complex task. Domestic wastewater is usually transported via the city's sewer system, and in many places, it is combined with rainwater. This means that disturbances, such as heavy rainfall or failures in the pipeline system, can lead to floods of polluted wastewater. Thus, it is important to design such transportation systems to be reliable. This work presents a methodology for generating several potential extensions to retrofit an existing water transportation network and increase its reliability. Reliability and feasibility evaluation is performed via the P-graph framework, after which the nondominated networks are collected. Results of the presented case study show that reliability can be increased 3 times by adding only some of the possible extensions to the network. The methodology proposed analysed 512 plausible retrofitting alternatives, from which 20 are non-dominated networks. This range of alternatives provides designers with insightful information to decrease water pollution and the vulnerability of wastewater systems.

Open Access: Yes

DOI: 10.3303/CET24114180

Applying intelligent methods in logistics control

Tamás Hartványi Lajos Tóth Ĺaszĺo T. Ḱoczy

Publication Name: Iccc 2005 IEEE 3rd International Conference on Computational Cybernetics Proceedings

Publication Date: 2005-12-01

Volume: 2005

Issue: Unknown

Page Range: 71-74

Description:

The purpose of this research and development project is to construct the foundations of a logistics IT center with a universal and intermodal character, i.e., covering all modes of transportation and corresponding central functions related to warehouses and container terminals. Through its modular structure it is applicable to arbitrary concrete site dependent needs. It also contains intelligent elements, which offer suboptimal solutions to certain classic mathematical optimization problems connected to logistics, acceptable from a practical point of view and tractable in the computer science sense. In order to realize and implement this system, several basic research tasks both in logistics and IT will be solved. A model for a logistics center will be constructed, suitable for present infrastructural situation in Central and Eastern Europe but compatible with European Union standards.

Open Access: Yes

DOI: 10.1109/ICCCYB.2005.1511551

On stability of maximal entropy OWA operator weights

István A. Harmati Imre Felde Robert Fuller

Publication Name: Fuzzy Sets and Systems

Publication Date: 2022-11-05

Volume: 448

Issue: Unknown

Page Range: 145-156

Description:

The maximal entropy OWA operator (MEOWA) weights can be obtained by solving a nonlinear programming problem with a linear constraint for the level of orness. Since the exact MEOWA weights are not known for the general case we can only find approximate solutions. We will prove that the nonlinear programming problem for obtaining MEOWA weights is well-posed: it has a unique solution and each MEOWA weight changes continuously with the initial level of orness. Using the implicit function theorem we will show that MEOWA weights are Lipschitz-continuous functions of the orness level. The stability property of the MEOWA weights under small changes of the orness level guarantees that small rounding errors of digital computation and small errors of measurement of the orness level can cause only a small deviation in MEOWA weights, i.e. every successive approximation method can be applied to the computation of the approximation of the exact MEOWA weights.

Open Access: Yes

DOI: 10.1016/j.fss.2022.01.003

Impact of Gamification on Student Engagement and Behavior Moderated by Public Policy in Higher Education Institutions

Md Billal Hossain Tayyaba Zia Muhammad Usman Khan

Publication Name: Human Behavior and Emerging Technologies

Publication Date: 2025-01-01

Volume: 2025

Issue: 1

Page Range: Unknown

Description:

This study investigates the impact of gamification on student engagement moderated by public policy in higher education. The psychological perspective of student engagement refers to the deep involvement of students in learning and acquiring knowledge. There are three dimensions of student engagement: cognitive, emotional, and behavioral. This study selects computer science students who were already enrolled in gamification classes. The selected sample of the study is based on multiple cities of Pakistan, including Lahore, Islamabad, and Karachi. The selection of institutes from three cities is made based on a convenience sampling technique. A 5-point Likert scale questionnaire is used to assess the role of gamification and its impact on gaming platforms and student engagement with dummy variables as public policy management that controls and devises rules and regulations for gamification in higher education departments. We examine the impact of gamification content, challenges, rewards, and the Kahoot platform on student engagement. There are positive and weak results regarding the impact of gamification, as the Kahoot platform itself has no attraction for students, but it provides a user-friendly medium to play games. There are a few topics for future research, such as the role of gamification platforms and their significant impact on students’ motivation and the role of public policy regarding gamification platforms and engagement. Gamification challenges and rewards have been discussed in the study to observe the mediating impact. The analysis of the study is carried out in SmartPLS Version 4.0.

Open Access: Yes

DOI: 10.1155/hbe2/9026903

Seed Rate and Row Spacing Effects on Yield and Quality of Sorghum Maturity Groups Under Central European Conditions

Gabor Kukorelli Zoltán Molnár Wogene Kabato Balázs Szemerits Wogene Solomon Kabato

Publication Name: Seeds

Publication Date: 2025-12-01

Volume: 4

Issue: 4

Page Range: Unknown

Description:

Efficient and climate-resilient Sorghum bicolor L. cultivation is increasingly important under Central European conditions. This study evaluated two hybrids across two locations in 2023–2024 with row spacings of 25, 45, and 75 cm and four sowing densities of 210,000–300,000 seed ha−1. Row spacing, year, and genotype exerted a strong and consistent effect on grain yield and quality, with multiple instances reaching high statistical significance (p < 0.001). In contrast, seed rate had no significant main effect, influencing results only via site- and season-specific interactions. At a 45 cm row spacing, sorghum exhibited the highest grain yield (8.59 t ha−1), the lowest seed moisture content (13.59%), and the greatest protein yield (1.094 t ha−1). The 25 cm spacing with higher density produced with 0.46 t ha−1 higher yields than 75 cm and the highest protein content (13.35%), but 0.48 t ha−1 lower yield than the 45 cm treatment. The 75 cm spacing generally gave 12.29% lower yield and 6.72% lower quality despite higher tillering. TKW was highest at 45 cm row spacing (31.12 g), 23.3% greater than at 75 cm (25.25 g). The 45 cm row spacing provided the most stable yield, superior quality, and balanced agronomic performance, representing the most practical configuration for sustainable sorghum production under Central European conditions.

Open Access: Yes

DOI: 10.3390/seeds4040061

Path planning in probabilistic environment by bacterial memetic algorithm

János Botzheim Yuichiro Toda Naoyuki Kubota

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2012-12-01

Volume: 14

Issue: Unknown

Page Range: 439-448

Description:

The goal of the path planning problem is to determine an optimal collision-free path between a start and a target point for a mobile robot in an environment surrounded by obstacles. In case of probabilistic environment not only static obstacles obstruct the free passage of the robot, but there are appearances of obstacles with probability. The problem is approached by the bacterial memetic algorithm. The objective is to minimize the path length and the number of turns without colliding with an obstacle. Our method is able to generate a collision-free path in probabilistic environment. The proposed algorithm is tested by simulations. © Springer-Verlag Berlin Heidelberg 2012.

Open Access: Yes

DOI: 10.1007/978-3-642-29934-6_42

From Agricultural and Forest Land Development to Urban Landscapes: Green Energy's Influence on Global Pollutant Emissions

Laszlo Vasa Urszula Mentel Muhammad Adnan Bashir Irum Shahzadi Li Qing

Publication Name: Land Degradation and Development

Publication Date: 2025-08-15

Volume: 36

Issue: 13

Page Range: 4672-4690

Description:

There is a sharp inclination to use green energy sources such as solar, hydro, and nuclear energy to accomplish the COP29 targets and sustainability goals. The current study attempts to explore the role of green solar, hydro, and agriculture land use apropos global pollutant emissions. In doing so, the study examines the impacts of agricultural land use, forest area, and urbanization on global emissions. The study uses the global historical data from 1990Q1 to 2021Q4. The authors employ the diagnostic tests, autoregressive distributed lag models, and causality analysis for empirical analysis. The autoregressive distributed lag model's results mentioned that agricultural land and forestry also help improve environmental sustainability and urban landscape in the short and long run. In addition, the results find linear and nonlinear impacts of green solar and nuclear energy to mitigate the global carbon emission levels. The structural change policies of industrialization and urbanization remain the critical obstacles to attaining environmental sustainability. The on-hand research contributes to the ongoing challenges faced by global economies regarding green energy sources, agriculture land management and their criticality in attaining a sustainable environment by reducing carbon emissions. The research recommends further investments in green solar, agriculture land management, and incentivizing clean energy sources to achieve sustainable global development.

Open Access: Yes

DOI: 10.1002/ldr.5661

Simulation of Environment Recognition Systems for Autonomous Vehicles in CARLA Simulator †

Dániel Csikor Gábor Saly Dávid Gorza

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Towards the introduction of autonomous vehicles, studying their functionality is becoming increasingly important. Detecting the environment in a self-driving vehicle is a very complex issue. The combination of different sensors is essential for safe and reliable operation. Detection enables the vehicle to accurately recognize and track surrounding objects, understand changes in the dynamic environment, and adapt to different situations. Improving environmental sensing and object recognition is essential for the widespread deployment of self-driving vehicles. In addition to real-world tests, simulation environments provide an opportunity to investigate the operation of autonomous vehicles. Simulations are cost-effective methods for examining the processing of information from the vehicle environment and identifying the current limitations and problems of these technologies. In the CARLA simulator environment, object detection is reproduced in realistic traffic situations. Based on the results, the detection performance was analyzed using interference matrices, F1 scores, accuracy, and coverage metrics.

Open Access: Yes

DOI: 10.3390/engproc2025113030

Plasma tomographic reconstruction from tangentially viewing camera with background subtraction

M. Berta G. Verdoolaege P. Hacek T. Odstrčil M. Odstrčil T. Szabolics J. Mlynar A. Bencze V. Weinzettl

Publication Name: Review of Scientific Instruments

Publication Date: 2014-01-01

Volume: 85

Issue: 1

Page Range: Unknown

Description:

Light reflections are one of the main and often underestimated issues of plasma emissivity reconstruction in visible light spectral range. Metallic and other specular components of tokamak generate systematic errors in the optical measurements that could lead to wrong interpretation of data. Our analysis is performed at data from the tokamak COMPASS. It is a D-shaped tokamak with specular metallic vessel and possibility of the H-mode plasma. Data from fast visible light camera were used for tomographic reconstruction with background reflections subtraction to study plasma boundary. In this article, we show that despite highly specular tokamak wall, it is possible to obtain a realistic reconstruction. The developed algorithm shows robust results despite of systematic errors in the optical measurements and calibration. The motivation is to obtain an independent estimate of the plasma boundary shape. © 2014 AIP Publishing LLC.

Open Access: Yes

DOI: 10.1063/1.4862652