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Found 6423 publications

Investigation of Energy-Efficient UAV Control: Analysis of PID and MPC Performance †

Miklós Kuczmann Áron Ballagi Barnabás Kiss

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Unmanned Aerial Vehicles are being applied in an increasing number of fields; however, their autonomous operation is associated with significant regulatory challenges. In this study, the performance of a PID and a Model Predictive Controller is compared based on the transfer function of the BLDC motor of a quadcopter using MATLAB simulations in the presence of white noise. The simulation results are used as reference values for measurements conducted on a cost-effective, custom-developed prototype drone. The prototype has been designed for short-duration hovering, allowing for an initial evaluation, but a more thorough analysis requires prolonged hovering tests to be carried out in an industrial environment. Based on the results, a recommendation is formulated for improving the PID controller to achieve performance closer to that of the MPC. The research is aimed at enhancing the energy efficiency of UAV systems and optimizing battery capacity, enabling longer autonomous flight time and more reliable control.

Open Access: Yes

DOI: 10.3390/engproc2025113040

AI-Driven Stacked Ensemble Intelligence for Robust Link Quality Classification and Adaptive Resource Management in Satellite-Terrestrial Integrated Networks

S. Poonkuntran Dragan Pamucar Aanjankumar Sureshkumar Rajesh Kumar Dhanaraj Maragatharajan Muthusamy Rajesh Kumar Dhanaraj Aanjankumar Sureshkumar

Publication Name: IEEE Open Journal of the Communications Society

Publication Date: 2026-01-01

Volume: 7

Issue: Unknown

Page Range: 4899-4913

Description:

The Satellite-Terrestrial Integrated Networks (STIN) were emerged as a key architectural pattern for attaining seamless, global and resilient wireless connectivity by adding extensive coverage of satellite systems with the high capacity and low latency of terrestrial networks. In spite of their advantages, STINs face significant challenges arising from heterogeneous link qualities, dynamic network topologies, long propagation delay and highly variable channel conditions which may complicate reliable and adaptable communication. The accurate and timely assessment of link quality is essential to enable effective resource management, adaptive modulation and coding and robust network control in space-ground integrated environments. In this study, AI-based link quality classification model for STINs based on a stacked ensemble learning architecture. This model combines multiple lightweight machine learning classifiers and a meta-level learner to capture complex non-linear relationships among satellite orbital parameters, spatial characteristics, and link dynamics. The framework categorizes satellite-terrestrial links into three operational states as Good, Moderate and Poor, which provides actionable intelligence for cross-layer resource allocation and adaptive communication strategies. The extensive experimental evaluation demonstrates that the proposed work attains 96.79% classification accuracy and 96.88% macro averaged F1-score where Decision tree as 85% and Machine Learning Based attain 88%. This indicates highly balanced and robust performance across all link classes. The confusion matrix analysis reveals that the misclassification occurs only between adjacent link quality states with no critical misclassifications between good and poor links. This ensures high reliability for operational decision-making. When compared to single-model baselines, the proposed approach increases prediction stability and robustness under heterogeneous and dynamic STIN conditions. The results confirmed the machine learning-assisted link quality intelligence can serve as a practical and efficient enabler for dynamic resource management in STIN. The model is computationally effective, scalable and readily deployable within next-generation STIN control planes which supports reliable communication for broadband access, emergency services and IoT applications.

Open Access: Yes

DOI: 10.1109/OJCOMS.2026.3681636

Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies

Péter Korös Zoltan Pusztai Ferenc Szauter Ferenc Friedler

Publication Name: Energies

Publication Date: 2023-03-01

Volume: 16

Issue: 6

Page Range: Unknown

Description:

In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. The measurement-based simulation model was implemented in the MATLAB/Simulink environment and used to establish the optimization. The optimization of braking-torque function was performed to maximize the recuperated energy. The determined braking-torque function was applied in a driving strategy optimization framework. The extended driving strategy optimization model is suitable for energy consumption minimization in a designated track. The driving strategy optimization was created for the TT Circuit Assen, where the 2022 Shell Eco-Marathon competition was hosted. The extended optimization resulted in a 2.97% improvement in energy consumption when compared to the result previously achieved, which shows the feasibility of the proposed methodology and optimization model.

Open Access: Yes

DOI: 10.3390/en16062682

Comparative and phylogenomic analysis of nuclear and organelle genes in cryptic Coelastrella vacuolata MACC-549 green algae

B. Pap Attila Farkas Torda Varga Gergely Maróti Prateek Shetty Bettina Hupp Vince Ördög Tibor Bíró

Publication Name: Algal Research

Publication Date: 2021-10-01

Volume: 58

Issue: Unknown

Page Range: Unknown

Description:

The nuclear, chloroplast and mitochondrial genomes of a unicellular green algal species of the Coelastrella genus was sequenced, assembled and annotated. The strain was previously classified as Chlamydomonas sp. MACC-549 based on morphology and partial 18S rDNA analysis. However, the proposed multi-loci phylogenomic approach described in this paper placed this strain within the Coelastrella genus, therefore it was re-named to Coelastrella vacuolata MACC-549. The strain was selected for de novo sequencing based on its potential value in biohydrogen production as revealed in earlier studies. This is the first thorough report and characterization for green algae from the Coelastrella genus. The whole genome annotation of Coelastrella vacuolata MACC-549 (including nuclear, chloroplast and mitochondrial genomes) shed light on interesting metabolic and sexual breeding features of this algae and served as a basis to taxonomically classify this strain.

Open Access: Yes

DOI: 10.1016/j.algal.2021.102380

Elasto-Plastic Analysis of Two-Way Reinforced Concrete Slabs Strengthened with Carbon Fiber Reinforced Polymer Laminates

Zahraa Saleem Sharhan Majid Movahedi Rad

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

DOI: 10.3390/computation12050093

35 Years of Parliamentary Democracy – Hungarian and International Conference on the Occasion of Day of Parliamentarism

László Tóth

Publication Name: International Journal of Parliamentary Studies

Publication Date: 2025-01-01

Volume: 5

Issue: 2

Page Range: 307-311

Description:

No description provided

Open Access: Yes

DOI: 10.1163/26668912-bja10118

University lecturers' distance learning experiences gained during the COVID-19 pandemic period

Attila Pongracz Balint Lampert Viktória Kövecses-Gősi Ildiko Lorincz

Publication Name: 11th IEEE International Conference on Cognitive Infocommunications Coginfocom 2020 Proceedings

Publication Date: 2020-09-23

Volume: Unknown

Issue: Unknown

Page Range: 325-330

Description:

Semester 2 of the academic year 2019/2020 has brought along a special situation and a variety of new solutions in education throughout the world. The emerging pandemic situation changed the system considerably by impeding both lecturers and students from working and meeting personally. Transition to online, distance education has also presented new challenges to educators, parents, teachers, university lecturers and students, as well as a new path of development. During our research, the experiences and difficulties gained by the members of Apaczai Csere Janos Faculty at Szechenyi István University in the past semester were examined with the help of an online questionnaire. Preliminary results show that the semester of distance learning, despite its difficulties, brought several positive results that enhanced teachers' creativity, pedagogical competencies as well as methodological culture of how the different tools and programs were used.

Open Access: Yes

DOI: 10.1109/CogInfoCom50765.2020.9237890

Physicochemical and textural properties of gummy candies prepared with fruit vinegar

E. Lakatos Székelyhidi Rita Beatrix Sik Roberta Pallag Zsolt Giczi

Publication Name: Applied Food Research

Publication Date: 2024-12-01

Volume: 4

Issue: 2

Page Range: Unknown

Description:

Foods with additional functional value derived from natural sources are becoming more and more in demand these days, including confectionary products. Therefore, the study aimed to develop a gummy candy recipe, enriched with different fruit vinegars and determine the components' effect on the products' mineral, acid, sugar, antioxidant, and polyphenol content, and texture of the confectionery products with analytical methods. In terms of macroelement content, potassium was present in the largest amount in the tested candies (167.87 and 178.83 mg kg-1) and liquid ingredients (57,71–306.93 mg kg-1). In the case of microelements, iron (4.81, 4.79 mg kg-1) and boron (4.62, 4.49 mg kg-1) were significant in the products, iron is also found in gelatin in significant quantities (3.51 mg kg-1), however, boron came exclusively from fruit-derived components (1.02–9.40 mg kg-1). Among the tested organic acids, malic acid (21.67–46.12 mg g-1), and acetic acid (47.74–50.06 mg g-1) were significant in both the raw materials and products, while the fructose content (2.44–439.35 mg g-1) was prominent among the sugars, but the glucose (75.99–163.44 mg g-1) and sucrose (73.61–157.00 mg g-1) content were also significant. Unfortunately, the polyphenol (1.37–1.46 mg GAE/g) and antioxidant (0.29–0.75 mg AAE/g) content of the products was not significant, maybe because of their heat sensitivity. In terms of the texture of the candies, the two candies prepared with different fruit vinegars had similar textural properties, however, in terms of hardness (3523.10 N/m2), gumminess (3266.25 N/m2), and chewiness (3425.33 N/m2) the gummy candy with apple cider vinegar proved to be better. Unlike many other confectionery products, the sugar content of the developed product is provided only by the used the apple concentrate, it does not contain added sugar or sweeteners. The addition of fruit vinegars has been proven to have a positive effect on the nutritional values of candies. By replacing gelatin with another gelling agent, the product can also be prepared in a vegan form.

Open Access: Yes

DOI: 10.1016/j.afres.2024.100473

Evaluating the Effectiveness of Autorouting in PCB Design †

Peter Gulyas

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This research aims to determine an optimized set of parameters for Altium Designer’s built-in autorouting function when applied on two- or more-layer printed circuit board (PCB) designs. An experimental approach is employed, creating a specific PCB layout with pre-placed components. The autorouting function is utilized to generate trace connections between components, with different parameter settings being tested to assess their impact on routing quality, efficiency, and speed. Routing time will be a key metric measured during this evaluation. The resulting autorouted designs will then be compared to a manually routed PCB designed by an engineer, considering factors such as routing neatness and adherence to design rules. This research aims to determine the effectiveness of the autorouting tool in PCB designs while potentially reducing design time.

Open Access: Yes

DOI: 10.3390/engproc2024079060