Search in Publications

Found 6383 publications

A note on f-weighted possibilistic correlation for identical marginal possibility distributions

Istvan A. Harmati

Publication Name: Fuzzy Sets and Systems

Publication Date: 2011-02-16

Volume: 165

Issue: 1

Page Range: 106-110

Description:

Fullér, Mezei and Várlaki defined the f-weighted possibilistic correlation coefficient as a new measure of interactivity of fuzzy numbers, which can be determined from the joint possibility distribution. At the end of their paper they formulated problems in connection with the lower limit of the f-weighted possibilistic correlation coefficient, if we know only the marginal distributions. In this paper we will discuss these problems. © 2010 Elsevier B.V. All rights reserved.

Open Access: Yes

DOI: 10.1016/j.fss.2010.11.005

Applying IoT Sensors and Big Data to Improve Precision Crop Production: A Review

Tarek Alahmad A. Nyéki M. Neményi

Publication Name: Agronomy

Publication Date: 2023-10-01

Volume: 13

Issue: 10

Page Range: Unknown

Description:

The potential benefits of applying information and communication technology (ICT) in precision agriculture to enhance sustainable agricultural growth were discussed in this review article. The current technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), as well as their applications, must be integrated into the agricultural sector to ensure long-term agricultural productivity. These technologies have the potential to improve global food security by reducing crop output gaps, decreasing food waste, and minimizing resource use inefficiencies. The importance of collecting and analyzing big data from multiple sources, particularly in situ and on-the-go sensors, is also highlighted as an important component of achieving predictive decision making capabilities in precision agriculture and forecasting yields using advanced yield prediction models developed through machine learning. Finally, we cover the replacement of wired-based, complicated systems in infield monitoring with wireless sensor networks (WSN), particularly in the agricultural sector, and emphasize the necessity of knowing the radio frequency (RF) contributing aspects that influence signal intensity, interference, system model, bandwidth, and transmission range when creating a successful Agricultural Internet of Thing Ag-IoT system. The relevance of communication protocols and interfaces for presenting agricultural data acquired from sensors in various formats is also emphasized in the paper, as is the function of 4G, 3G, and 5G technologies in IoT-based smart farming. Overall, these research sheds light on the significance of wireless sensor networks and big data in the future of precision crop production

Open Access: Yes

DOI: 10.3390/agronomy13102603

Fuzzy Based Brightness Compensation for High Dynamic Range Images

András Rövid Peter Varlaki Annamária R. Várkonyi-Kóczy

Publication Name: Journal of Advanced Computational Intelligence and Intelligent Informatics

Publication Date: 2006-07-01

Volume: 10

Issue: 4

Page Range: 549-554

Description:

High dynamic range of illumination may cause serious distortions and other problems in viewing and further processing of digital images. In this paper a new fuzzy based tone reproduction pre-processing algorithm is introduced which may help in developing hardly or nonviewable features and content of the images making easier the further processing of it.

Open Access: Yes

DOI: 10.20965/jaciii.2006.p0549

Performance Optimization of Lignocellulosic Fiber-Reinforced Brake Friction Composite Materials Using an Integrated CRITIC-CODAS-Based Decision-Making Approach

Amit Aherwar Vedant Singh László Lendvai Prabhakar Bhandari Lalit Ranakoti Tej Singh

Publication Name: Sustainability Switzerland

Publication Date: 2023-06-01

Volume: 15

Issue: 11

Page Range: Unknown

Description:

A hybrid multicriteria decision-making (MCDM) framework, namely “criteria importance through inter-criteria correlation-combinative distance-based assessment” (CRITIC-CODAS) is introduced to rank automotive brake friction composite materials based on their physical and tribological properties. The ranking analysis was performed on ten brake friction composite material alternatives that contained varying proportions (5% and 10% by weight) of hemp, ramie, pineapple, banana, and Kevlar fibers. The properties of alternatives such as density, porosity, compressibility, friction coefficient, fade-recovery performance, friction fluctuation, cost, and carbon footprint were used as selection criteria. An increase in natural fiber content resulted in a decrease in density, along with an increase in porosity and compressibility. The composite with 5 wt.% Kevlar fiber showed the highest coefficient of friction, while the 5 wt.% ramie fiber-based composites exhibited the lowest levels of fade and friction fluctuations. The wear performance was highest in the composite containing 10 wt.% Kevlar fiber, while the composite with 10 wt.% ramie fiber exhibited the highest recovery. The results indicate that including different fibers in varying amounts can affect the evaluated performance criteria. A hybrid CRITIC-CODAS decision-making technique was used to select the optimal brake friction composite. The findings of this approach revealed that adding 10 wt.% banana fiber to the brake friction composite can give the optimal combination of evaluated properties. A sensitivity analysis was performed on several weight exchange scenarios to see the stability of the ranking results. Using Spearman’s correlation with the ranking outcomes from other MCDM techniques, the suggested decision-making framework was further verified, demonstrating its effectiveness and stability.

Open Access: Yes

DOI: 10.3390/su15118880

Analysis of the wear behavior of combustion engine components using radionuclide-technique

Mathias Roman Dreyer Wolfgang Optatzy Tamás Gergye Bernhard Kehrwald

Publication Name: Lecture Notes in Electrical Engineering

Publication Date: 2013-07-04

Volume: 189 LNEE

Issue: VOL. 1

Page Range: 171-181

Description:

The aim of this study is the analysis of wear behaviour of a timing chain in real engine operation in terms of the influence of variable operating parameters. Further experiments were carried out with used motor oil. During the wear measurements could be seen, that the variation of the oil temperature showed a minor effect on the wear behaviour. However the use of aged oil showed a significant change of the wear behaviour. This means, that in the design of chain drive systems and oil change intervals this correlation has to be considered for maintaining the targeted engine life. Fundamental experiments on a tribometer using different types of carbon black oil will help to describe this phenomena more accurately. © 2013 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-33841-0_13

Management of uncertainty in visual examination procedure in building diagnostics with fuzzy expert system

Gergely Molnarka

Publication Name: Isciii 09 4th International Symposium on Computational Intelligence and Intelligent Informatics Proceedings

Publication Date: 2009-12-28

Volume: Unknown

Issue: Unknown

Page Range: 31-40

Description:

Every building diagnostic analysis begins with a detailed visual check of deteriorations of building elements. During this process the identification of touched components and the circumstances of the given failure are described. A properly completed survey determines the way of further analyses and interventions to be done. Thus the visual check may support indirectly the decisions which deal with the life cycle of the examined building or its part. In the case of ad hoc and independent surveys the decision-supporting ability of the traditional visual examination procedures proves to be inconsiderable, if the subjects of the surveys belong to the same property. Due to several subjective factors the evaluation of these surveys and their comparative analysis are almost impossible. It is supposable that the fuzzy expert system proposed in this article may remedy the problem mentioned above, owing to the peculiarities of this professional field (application of a variety of linguistic variables, uncertainty originated from different sources, assumptions based on experiences and observations). This paper sketches out the facts of uncertainties of the visual examination procedure in building diagnostics, then describes the architecture and components of the fuzzy expert system. Thereafter, the operation of this method is illustrated through three building diagnostics case studies. © 2009 IEEE.

Open Access: Yes

DOI: 10.1109/ISCIII.2009.5342283

The overall imperfection method for fire design situation

Samer Nemer F. Papp J. Szalai

Publication Name: Engineering Structures

Publication Date: 2023-05-15

Volume: 283

Issue: Unknown

Page Range: Unknown

Description:

In this paper the Overall Imperfection Method, which is a well validated method for the assessment of the global stability resistance of thin-walled steel structural members with any load and supporting conditions, is used for fire design situation. The method uses equivalent initial geometrical imperfection in the shape of relevant elastic global buckling mode. The assessment of the global stability resistance is performed by geometrically nonlinear analysis and by checking of cross-sectional resistance using reduced elastic moduli in the analysis and reduced design strength for the cross-section checking. The validation of the method is carried out through the analysis of more thousands different structural members with hot-rolled I cross-sections. The reference values for the safety study are calculated by geometrically and materially nonlinear analysis with imperfections.

Open Access: Yes

DOI: 10.1016/j.engstruct.2023.115884

Timed cooperative multitask for tiny real-time embedded systems

József Kopják János Kovacs

Publication Name: IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics Sami 2012 Proceedings

Publication Date: 2012-06-29

Volume: Unknown

Issue: Unknown

Page Range: 377-382

Description:

The paper present alternative multitasking kernel algorithm used in tiny real-time embedded systems, microcontrollers. The paper first reviews the basics of realtime systems and traditional programming models used in embedded systems, like sequential programming model and traditional cooperative multitasking model. Greater part of article presents an alternative multitasking programming model, the timed cooperative multitasking. The authors take the reader through the process of kernel design based on timed cooperative multitasking model. The paper ends with demonstration of event-driven model used in timed cooperative multitasking model. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/SAMI.2012.6208993

Nonlinear kinematic impacts on nanofluid flow across rough surface with numerical simulation

Dil Nawaz Khan None Hashim Assmaa Abd-Elmonem Hijaz Ahmad Maimoona Karim Abbas Khan Muhammad Zubair Mawadda E.E. Abulhassan Adnan Khan

Publication Name: Scientific Reports

Publication Date: 2025-12-01

Volume: 15

Issue: 1

Page Range: Unknown

Description:

The current study demonstrates the intricate thermo-solutal transportation features of a nanofluid experiencing non-linear kinematics as it flows across a rough porous stretched interface. Previous work has typically been limited to smooth geometries, narrow parameter ranges, and few physical intuitions. However, this paper extends the analysis to include surface roughness, porosity effect, nonlinear stretching and essential physical phenomena like effect of magnetic field, Brownian motion special case thermophoresis effect and variable suction/injection. The resulting extension does not only reproduce realistic flow cases, but reveals extremely sensitive solution behaviors that have been completely untouched in the literature. Using scaling transformation approach, the governing non-linear partial differential equations (PDEs) for the transport of momentum, energy, and solutal in the transformed independent variables are translated into a set of coupled ordinary differential equations (ODEs). Numerical simulation of the above transport equations with ten dimensionless parameters is done using the MATLAB BVP4C (built in solver) approach, which ensures computational stability and high precision across broad parametric domains. Additionally, using an expanded parameter domain revealed previously unknown solution properties. For instance, as the thermophoretic limitation raised, the species concentration rose by 5% and fell by 12%. Additionally, sensitivity was demonstrated by the velocity profiles shifting by 20% in response to a small variation in the slip parameter. Finding the limits at which qualitatively reactions to system modifications and other non-physical solutions arise from the qualitative responses is notably innovative. Such findings will propel the development of more efficient coatings and temperature control techniques, offering helpful advice to greatly improve transportation effectiveness in actual nanofluid applications.

Open Access: Yes

DOI: 10.1038/s41598-025-27743-x