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Found 6289 publications

Quantifying Geotechnical Uncertainty in Ground Motion Predictions: Bayesian Generalized Linear Model Framework

Clara Beatrice Vilceanu Ayele Chala Mais Mayassah Richard P. Ray

Publication Name: Advances in Civil Engineering

Publication Date: 2025-01-01

Volume: 2025

Issue: 1

Page Range: Unknown

Description:

Accurate prediction of peak ground intensity measures is inevitably influenced by geotechnical variability. Variations in soil properties, subsurface conditions, and seismic inputs introduce complexities that challenge the reliability of predictions. This study introduces a Bayesian generalized linear model (GLM) to probabilistically predict peak ground acceleration (PGA) while accounting for uncertainties associated with geotechnical variability. Latin hypercube sampling (LHS) was employed to generate synthetic datasets of key geotechnical parameters, including plasticity index, shear wave velocity, soil thickness, input motion intensity, and unit weight of soil for hypothetical sites. Subsequently, a series of one-dimensional equivalent linear (1D-EQL) seismic site response analyses were performed, and PGA value at ground surface level were recorded for each analysis. The Bayesian GLM was then developed using these comprehensive datasets to probabilistically predict PGA. The performance and reliability of the developed model were evaluated on a separate test dataset. To benchmark its performance, a Bayesian neural network (BNN) was also developed and compared. In addition, a Shiny-based graphical user interface (GUI), named Bayes-PGA-predictor, was implemented to facilitate practical application. The findings demonstrate that the Bayesian GLM offers a robust and interpretable approach to predicting PGA while effectively quantifying uncertainty associated with geotechnical variability.

Open Access: Yes

DOI: 10.1155/adce/6678669

Micro-Level Road Network Evaluation using Fuzzy Signature Rule Bases

Gergely Mikulai László T. Kóczy

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 11

Page Range: 185-205

Description:

Nowadays, due to fast-increasing economic development, the current available road infrastructure is more and more crowded, which creates frustration for the people using them. In the current research, a model is proposed for authorities, companies and individuals, to choose the best available route(s) and road sections(s) for improvement measures, optimal delivery or commuting. In the proposed model, a fuzzy signature rule base, is introduced for commuters, which distinguishes all the relevant factors during commuting. The actual decision process is based on various input data, such as peoples’ habits, assumptions and preferences and various other factors.

Open Access: Yes

DOI: 10.12700/APH.19.11.2022.11.10

Visualization of movie features in collaborative filtering

Bottyan Nemeth Istvan Pilaszy Gabor Takacs Domonkos Tikk

Publication Name: Somet 2013 12th IEEE International Conference on Intelligent Software Methodologies Tools and Techniques Proceedings

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 229-233

Description:

In this paper we will describe a modification of the matrix factorization (MF) algorithm which allows visualizing the user and item characteristics. When applying MF for collaborative filtering, we get a model that represents the attributes of users and items by feature vectors. Some elements of these vectors may have understandable meaning for humans but due to the lack of internal connections between the feature vectors, these are difficult to visualize. In this paper we give a detailed description of a MF method enabling better visualization of features by arranging them into a 2D map, where via the calculation of the feature values we try to position features with similar 'meaning' close to each other. To achieve this first we define a neighborhood relation on features, then we modify the MF so that we introduce a new term in the error function which penalize the difference between the neighbor features. We show that this modification slightly decrease the accuracy of the model but we get well visualized feature maps. On the feature maps meanings can be associated with regions, and so we can provide an interesting explanation for the user why he/she was recommended the movie. Such plausible explanations may result in that users will better understand how the system works, which can also increase customer loyalty towards the service provider. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/SoMeT.2013.6645674

FPGA based acceleration of computational fluid flow simulation on unstructured mesh geometry

Csaba Nemes Antal Hiba Zoltán Nagy András Kiss Árpád Csík Péter Szolgay

Publication Name: Proceedings 22nd International Conference on Field Programmable Logic and Applications Fpl 2012

Publication Date: 2012-12-12

Volume: Unknown

Issue: Unknown

Page Range: 128-135

Description:

Numerical simulation of complex computational fluid dynamics problems evolving in time plays an important role in scientific and engineering applications. Accurate behavior of dynamical systems can be understood using large scale simulations which traditionally requires expensive super-computing facilities. In the paper a Field Programmable Gate Array (FPGA) based framework is described to accelerate simulation of complex physical spatio-temporal phenomena. Simulating complicated geometries requires unstructured spatial discretization which results in irregular memory access patterns severely limiting computing performance. Data locality is improved by mesh node renumbering technique which results in a sequential memory access pattern. Additionally storing a small window of cell-centered state values in the on-chip memory of the FPGA can increase data reuse and decrease memory bandwidth requirements. Generation of the floating-point data path and control structure of the arithmetic unit containing dozens of operators is a very challenging task when the goal is high operating frequency. Efficiency and use of the framework is described by a case study solving the Euler equations on an unstructured mesh using finite volume technique. On the currently available largest FPGA the generated architecture contains three processing elements working in parallel providing 75 times speedup compared to a high performance microprocessor. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/FPL.2012.6339276

Identification of Delay-Tolerant Networking by Employing MABAC Technique Based on Bipolar Complex Fuzzy Dombi Heronian Mean Operators

Dragan Pamucar Tahir Mahmood None Azam Ubaid Ur Rehman

Publication Name: Contemporary Mathematics Singapore

Publication Date: 2025-01-01

Volume: 6

Issue: 3

Page Range: 3562-3612

Description:

This work proposes a hybrid decision making model for dynamic and irregularly connected communication systems called Delay-Tolerant Networks (DTNs). A resilient and adaptable network allows for communication in an environment where traditional networks may fail to operate effectively. The main significance of this system is that it is commonly utilized in such scenarios where traditional networks are impractical, such as remote areas, disaster-stricken regions, space missions, and military operations. The proposed model includes the “Multi-Attributive Border Approximation Area Comparison” (MABAC) method, together with Bipolar Complex Fuzzy Dombi Heronian Mean (BCFDHM) operators. To take the positive as well as negative attributes’ evaluations into consideration in complicated fuzzy environments, we use an enriched aggregation structure for the criteria, which incorporates the relationship between criteria through the Heronian mean function. Due to this, the MABAC technique within BCF information is more advanced and better than classical MABAC techniques in various models. After that, with the help of these enriched aggregation structures, we successfully identify and rank alternatives for DTN in an uncertain, imprecise, and bipolar condition. By employing the MABAC technique for the DTN system, we find the best and better alternative to the DTN system, which is Ã4 as mentioned below in section 4. At last, we compare our initiated work with many existing theories to prove the authenticity of the suggested work.

Open Access: Yes

DOI: 10.37256/cm.6320256840

On the relationships between the first and second Zagreb Indices

Tamás Réti

Publication Name: Match

Publication Date: 2012-12-01

Volume: 68

Issue: 1

Page Range: 169-188

Description:

The Zagreb indices introduced by Gutman and Trinajstić more than thirty years ago are graph-based molecular structure descriptors. The research and application of the Zagreb indices appears mainly in mathematical chemistry. In this paper we present some new inequalities related to the first and the second Zagreb indices. By introducing the notions of P-dominant graphs, and of the valency-functions of a graph, correspondences with the novel inequalities presented are discussed. In addition, we find examples characterizing the validity of Zagreb indices inequality and equalities for some particular classes of connected biregular graphs.

Open Access: Yes

DOI: DOI not available

Joint audit work allocation in the mandatory joint audit setting: a comparative study between the developed and the emerging economies

Árpád Tóth Katalin Borbély Mohammed Ibrahem Ali Hassan

Publication Name: Cogent Business and Management

Publication Date: 2026-01-01

Volume: 13

Issue: 1

Page Range: Unknown

Description:

This study investigates the effects of joint audit work allocation on audit quality, fees, and report delays. It analyzes data from 347 non-financial listed firms in France and Morocco. Audit fee shares serve as a proxy for workload distribution. The findings reveal notable differences between France and Morocco. At the macro level, there is no statistically significant relationship between joint audit work allocation and either audit quality or audit report delays in France. However, greater imbalances in work allocation are associated with higher audit fees. In Morocco, greater imbalances in the allocation of work are associated with lower audit quality, higher fees, and longer delays. At the joint audit pair level, most pairs in both countries exhibit no significant relationship between work allocation and audit quality, fees, or report delays. Nevertheless, specific French and Moroccan pairs with greater imbalances in work allocation experience higher audit fees and longer delays. Regarding company size, joint audit work allocation has a minimal effect on audit quality, fees, and delays among large firms. As unbalanced joint audits have parallels to single audits, our findings contribute to current discussions of their comparative advantages and disadvantages. This study provides valuable and practical insights for a wide audience, including investors, board members, practitioners, academics, and policymakers.

Open Access: Yes

DOI: 10.1080/23311975.2026.2640254

Relationship between the developed interfacial area ratio and the adhesion of the bonded joint

Zoltán Weltsch Miklós Berczeli Benjámin Körömi

Publication Name: Journal of Advanced Joining Processes

Publication Date: 2025-06-01

Volume: 11

Issue: Unknown

Page Range: Unknown

Description:

Bonding technologies have evolved significantly over the past decades, playing a crucial role in the field of joining technologies. To date, however, there is no consensus among research groups as to whether surface texture or surface wettability, or both, affect the strength of bonded joints. Bonded joints, as a bonding technique, are highly dependent on the chemical composition of the adhesive or binder. It is also important to note that the strength and the quality of a bonded joint is greatly influenced by surface adhesion and its related phenomena. From a materials science perspective, surface adhesion is characterised by the level of surface wetting and the total surface energy. In addition, microtopographies and other geometrical features play a key role in bond formation. In this research, the goal is to create controlled microtopographies on DP600 steel surfaces, mainly using femtosecond pulsed laser surface treatment techniques. The ability of adhesives to fill microtopographies specifically, the extent and manner in which micro-scale geometries and structures are filled is also investigated. This allows for the establishment of correlations between the strength of adhesive bonds and the shape characteristics of the microtopography, both in the surface-activated and non-surface-activated states.

Open Access: Yes

DOI: 10.1016/j.jajp.2025.100310

Uncertainty representation in nonlinear and hybrid systems

Peter Varlaki Annamária R. Várkonyi-Kóczy

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

Publication Date: 2005-12-01

Volume: 2005

Issue: Unknown

Page Range: 313-318

Description:

Information of any kind always involve some kind of uncertainty, inaccuracy. The model used to represent the information during the information processing can affect the achievable preciseness and can determine the usability of different computing methods, as well. The data model must also be able to represent the uncertainty, inaccuracy of both the input data and the results. The two most popular data models for the representation of uncertain data are the "classical", probability based and the recently introduced fuzzy data model. With the increasing complexity of the computing problems and with the appearance and spreading of new modeling and computing techniques, the evaluation and representation of the uncertainty in different systems become an increasingly important question and methods for the mixed use of different data models can also be needed. This paper deals with the limits of the "classical", probability theory based uncertainty representation and examines possible solutions for information processing based on mixed data models together with different conversion methods between fuzzy and probability theory based representations.

Open Access: Yes

DOI: 10.1109/ICCCYB.2005.1511593