TY - JOUR AU - Robert, E. Gaunt AU - Saralees, Nadarajah AU - Pogany, Tibor TI - On Pólya’s random walk constants JF - PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY J2 - P AM MATH SOC PY - 2024 SN - 0002-9939 UR - https://m2.mtmt.hu/api/publication/34832962 ID - 34832962 LA - English DB - MTMT ER - TY - JOUR AU - Tasic, Jelena AU - Nagy-Perjési, Zsófia AU - Takács, Márta TI - Multilevel Fuzzy Inference System for Estimating Risk of Type 2 Diabetes JF - MATHEMATICS J2 - MATHEMATICS-BASEL VL - 12 PY - 2024 IS - 8 SP - 1167 PG - 17 SN - 2227-7390 DO - 10.3390/math12081167 UR - https://m2.mtmt.hu/api/publication/34792748 ID - 34792748 AB - In this paper, we present a multilevel fuzzy inference model for predicting the risk of type 2 diabetes. We have designed a system for predicting this risk by taking into account various factors such as physical, behavioral, and environmental parameters related to the investigated patient and thus facilitate experts to diagnose the risk of diabetes. The important risk parameters of type 2 diabetes are identified based on the literature and the recommendations of experts. The parameters are scaled and fuzzified on their own universe and, based on the experts’ recommendation, fuzzy inference subsystems are created with 3–4 related risk parameters to calculate the risk level. These sub-systems are then arranged into Mamdani-type inference systems so that the system calculates an aggregated risk level. The overview of the large number of diverse types of risk factors, which may be difficult for specialists and doctors, is facilitated by the proposed system. LA - English DB - MTMT ER - TY - JOUR AU - Kajanto, Sandor AU - Kristály, Alexandru AU - Peter, Ioan Radu AU - Zhao, Wei TI - A generic functional inequality and Riccati pairs: an alternative approach to Hardy-type inequalities JF - MATHEMATISCHE ANNALEN J2 - MATH ANN PY - 2024 PG - 43 SN - 0025-5831 DO - 10.1007/s00208-024-02827-7 UR - https://m2.mtmt.hu/api/publication/34789172 ID - 34789172 LA - English DB - MTMT ER - TY - CHAP AU - Alex, Bárdi AU - Takács, Márta ED - Szakál, Anikó TI - Optimizing Algorithmic Trading by Integrating Sentiment Analysis T2 - IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings PB - IEEE Hungary Section CY - Budapest SN - 9798350350142 PY - 2024 SP - 000359 EP - 000363 PG - 5 UR - https://m2.mtmt.hu/api/publication/34769051 ID - 34769051 LA - English DB - MTMT ER - TY - CHAP AU - Horváth, László ED - Szakál, Anikó TI - Intelligent Computing Integrated Autonomous Model of Research T2 - IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings PB - IEEE Hungary Section CY - Budapest SN - 9798350350142 PY - 2024 SP - 000213 EP - 0002018 PG - 1806 UR - https://m2.mtmt.hu/api/publication/34768955 ID - 34768955 LA - English DB - MTMT ER - TY - JOUR AU - Farkas, Csaba AU - Kajántó, Sándor AU - Kristály, Alexandru TI - Sharp spectral gap estimates for higher-order operators on Cartan-Hadamard manifolds JF - COMMUNICATIONS IN CONTEMPORARY MATHEMATICS J2 - COMMUN CONTEMP MATH PY - 2024 SN - 0219-1997 DO - 10.1142/S0219199724500135 UR - https://m2.mtmt.hu/api/publication/34684928 ID - 34684928 LA - English DB - MTMT ER - TY - JOUR AU - Górska, Katarzyna AU - Horzela, Andrzej AU - Maširević, Dragana Jankov AU - Pogany, Tibor TI - On Distribution of Rice–Middleton Model JF - RESULTS IN MATHEMATICS J2 - RES MATHEM VL - 79 PY - 2024 IS - 3 PG - 22 SN - 1422-6383 DO - 10.1007/s00025-024-02141-3 UR - https://m2.mtmt.hu/api/publication/34684510 ID - 34684510 AB - The probability density function in Rice–Middleton model, which describes the behavior of the single sinusoidal random signal combined with Gaussian noise is expressed in three mutually independent ways: firstly, with the aid of an integral representation of the modified Bessel function of the first kind of integer order; secondly, by a hyperbolic cosine differential operator and thirdly, applying the Grünwald–Letnikov fractional derivative. The cumulative distribution functions are also described in all these cases, and also using the Nuttall Q –function. An associated, seemingly new, probability distribution is introduced which cumulative distribution function and the raw moments of general real order are obtained whilst the characteristic function’s power series form is inferred. The exposition ends with a discussion in which by–product summations are given for the considered Neumann series of the second type built by modified Bessel functions of the second kind having integer order. LA - English DB - MTMT ER - TY - CHAP AU - Horváth, László ED - IEEE, Publ. TI - Empowering Models for High Automation in Engineering T2 - IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics : SAMI 2024 : Proceedings PB - IEEE CY - Danvers (MA) SN - 9798350317206 PY - 2024 SP - 181 EP - 186 PG - 6 DO - 10.1109/SAMI60510.2024.10432894 UR - https://m2.mtmt.hu/api/publication/34534561 ID - 34534561 LA - English DB - MTMT ER - TY - JOUR AU - Biró, Péter AU - Bozóki, Sándor AU - Király, Tamás AU - Kristály, Alexandru TI - Optimization methods and algorithms JF - CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH J2 - CEJOR VL - 32 PY - 2024 SP - 1 EP - 9 PG - 9 SN - 1435-246X DO - 10.1007/s10100-023-00898-6 UR - https://m2.mtmt.hu/api/publication/34512778 ID - 34512778 N1 - Centre for Economic and Regional Studies (HUN-REN KRTK), HUN-REN Institute of Economics, Budapest, Hungary Department of Operations Research and Actuarial Sciences, Institute of Operations and Decision Sciences, Corvinus University of Budapest, Budapest, Hungary Laboratory on Engineering and Management Intelligence, HUN-REN Institute for Computer Science and Control (HUN-REN SZTAKI), Research Group of Operations Research and Decision Systems, Budapest, Hungary Department of Operations Research, Eötvös Loránd University, Budapest, Hungary Department of Economics, Babes-Bolyai University, Cluj-Napoca, Romania Institute of Applied Mathematics, Óbuda University, Budapest, Hungary Export Date: 25 March 2024 Correspondence Address: Bozóki, S.; Department of Operations Research and Actuarial Sciences, Hungary; email: bozoki.sandor@sztaki.hun-ren.hu Funding text 1: The contribution of Tamás Kis, Péter Györgyi and Markó Horváth to Sect. 1 is highly appreciated. AB - Recent results of three areas, pickup and delivery, optimal mass transportation, matching under preferences are highlighted. The topics themselves have been selected from the active research fields of Hungarian Operations Research. We also provide a short summary of selected research results from the 34th Hungarian Operations Research Conference, held in Cegléd, Hungary, August 31–September 2, 2021. LA - English DB - MTMT ER - TY - JOUR AU - Varga, Bence AU - Tar, József AU - Horváth, Richárd TI - Fractional order inspired iterative adaptive control JF - ROBOTICA J2 - ROBOTICA VL - 42 PY - 2024 IS - 2 SP - 482 EP - 509 PG - 28 SN - 0263-5747 DO - 10.1017/S0263574723001595 UR - https://m2.mtmt.hu/api/publication/34439418 ID - 34439418 AB - Although several studies have revealed that fractional order controllers usually outperform conventional integer-order control solutions, fractional order controllers are not yet widely applied in industrial applications due to their complex mathematical background. In this paper, further improvements of a simple weighted sum feedback design are introduced that imitates the behavior of a fractional order controller but is free from its various formal restrictions. The proposed control solution has the main characteristics of a fractional order controller, such as finite memory length, excellent transient response with no overshoot and robust behavior, but it is placed into a much simpler mathematical framework. In the current paper, a simple derivative term was incorporated in the design which made the controller’s output more stable by completely eliminating output chattering. The proposed control method was developed for a general second-order system. It was tested in a fixed point iteration-based adaptive control scenario, through simulations using a robotic example and on experimental basis as well, utilizing a simple one-degree-of-freedom electromechanical system. The presented experiments are the first systematic investigations of the fixed point iteration-based adaptive control method. LA - English DB - MTMT ER -