TY - JOUR AU - Khafajy, Osama Ali Salman AU - Hosszú, Gábor László AU - Kovács, Ferenc TI - A New Feature Selection Algorithm for Evolutionary Analysis of Aramaic and Arabic Script Variants JF - INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS J2 - INT J INTELL ENG INF VL - 10 PY - 2022 IS - 4 SP - 313 EP - 331 PG - 19 SN - 1758-8715 DO - 10.1504/IJIEI.2022.128892 UR - https://m2.mtmt.hu/api/publication/33589060 ID - 33589060 N1 - Faculty of Electrical Engineering and Informatics, Department of Electron Devices, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, 1111, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Práter u. 50, A1083, Hungary Export Date: 24 November 2023 Correspondence Address: Hosszú, G.; Faculty of Electrical Engineering and Informatics, Műegyetem rkp. 3., Hungary; email: hosszu.gabor@vik.bme.hu WoS:hiba:000932256400003 2023-12-31 14:49 DOI azonosító nem egyezik AB - This paper deals with applying phylogenetic modelling to the evolution of scripts (writing systems) as taxa. Aramaic and Arabic script variants are studied in the present cladistic analysis. The selection of the most suitable features of taxa for accurate modelling as part of the feature engineering step could improve the result of the cladistic analysis. The main objective is to filter out features of the taxa under study that could potentially cause homoplasy. The effect of feature filtering is investigated using some widely used phylogenetic software products for biological databases. Studies have consistently shown that the phylogenetic tree (cladogram) generated after filtering out the most variable features is more optimal for less homoplasy than the tree obtained without feature filtering. Hence, the proposed algorithm effectively pre-filters the features that may cause homoplasy. Furthermore, the results also demonstrated that different cladistic methods investigated gave similar results for the dataset under study. LA - English DB - MTMT ER - TY - CHAP AU - Tegze, Dávid AU - Kovács, Ferenc AU - Hosszú, Gábor László ED - Huang, Anqiang ED - Shang, Xiaopu ED - Shi, Xianliang ED - Bohács, Gábor ED - Liu, Shifeng TI - Special Purpose Network Simulator for Transport Protocol Analysis T2 - LISS 2020 PB - Springer-Verlag Singapore CY - Singapore SN - 9789813343580 PY - 2021 SP - 447 EP - 460 PG - 14 DO - 10.1007/978-981-33-4359-7_32 UR - https://m2.mtmt.hu/api/publication/31978558 ID - 31978558 LA - English DB - MTMT ER - TY - CHAP AU - Tóth, Loránd AU - Hosszú, Gábor László AU - Kovács, Ferenc ED - Huang, Anqiang ED - Shang, Xiaopu ED - Shi, Xianliang ED - Bohács, Gábor ED - Liu, Shifeng TI - Deciphering Historical Inscriptions Using Machine Learning Methods T2 - LISS 2020 PB - Springer-Verlag Singapore CY - Singapore SN - 9789813343580 PY - 2021 SP - 419 EP - 435 PG - 17 DO - 10.1007/978-981-33-4359-7_30 UR - https://m2.mtmt.hu/api/publication/31978580 ID - 31978580 LA - English DB - MTMT ER - TY - CHAP AU - Üveges, Bálint Áron AU - Kovács, Ferenc TI - Phonography-based Measurement of Fetal Heart Rate and Fetal Breathing Movements T2 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (IEEE BHI 2021) PY - 2021 UR - https://m2.mtmt.hu/api/publication/32176674 ID - 32176674 AB - Fetal phonography is a passive measurement method to monitor the fetus’ physiological activity by collecting acoustic signals from the mother’s abdomen with a special acoustic sensor. Initial application of fetal phonography targeted fetal heart rate monitoring, while in recent years the scope has been extended to cover fetal breathing movements. Each physiological phenomenon provides key information about the fetus’ overall medical condition, while the passive measurement does not impose burden neither on the mother, nor on the fetus. Based on the analysis of fetal phonographic signals our findings suggest the feasibility of measuring fetal heart rate and fetal breathing movements from the same phonographic signal within the same temporal section. I. INTRODUCTION Fetal phonography, as a passive measurement method provides means to monitor the fetus’ physiological activity for an extended period, without imposing burden on the mother or on the fetus. With the aid of signal processing, it is possible to detect fetal heart sounds (FHS) in fetal phonographic signals and calculate fetal heart rate (FHR), starting from the 28th week of gestation [1]. Fetal breathing movement (FBM) plays an important role in lung development, by enabling fetal lung expansion [2]. As shown by Goda et al. [3] it is possible to measure FBM episodes (single complete breathing movement) and FBM epochs (subsequent series of FBM episodes) via fetal phonography. II. METHODS & RESULTS Fetal phonographic measurement data, collected by M. Á. Goda was evaluated from FHS, FHR and FBM point of view. Via the analysis of several recording’s filtered waveform, Velocity Synchronous Linear Chirplet Transform (VSLCT) [4] and General Parameterized Time-Frequency Transform’s Spline Chirplet Transform (GPTF-SCT) [5] time-frequency representation (TFR) it was possible to identify S1 and S2 FHS components and FBM in the same temporal section, as shown in Fig. 1. In case of signals, where both FHS and FBM is present, FHR calculation was performed and FBM epochs were identified. It was possible to retrieve the FHR and FBM episodes from a phonographic signal’s same temporal section, as shown in Fig 2. LA - English DB - MTMT ER - TY - JOUR AU - Goda, Márton Áron AU - Telek, Tamás AU - Kovács, Ferenc TI - Novel Phonography-Based Measurement for Fetal Breathing Movement in the Third Trimester JF - SENSORS J2 - SENSORS-BASEL VL - 21 PY - 2020 IS - 1 PG - 13 SN - 1424-8220 DO - 10.3390/s21010211 UR - https://m2.mtmt.hu/api/publication/31795646 ID - 31795646 AB - The detailed assessment of fetal breathing movement (FBM) monitoring can be a pre-indicator of many critical cases in the third trimester of pregnancy. Standard 3D ultrasound monitoring is time-consuming for FBM detection. Therefore, this type of measurement is not common. The main goal of this research is to provide a comprehensive image about FBMs, which can also have potential for application in telemedicine. Fifty pregnancies were examined by phonography, and nearly 9000 FBMs were identified. In the case of male and female fetuses, 4740 and 3100 FBM episodes were detected, respectively. The measurements proved that FBMs are well detectable in the 20–30 Hz frequency band. For these episodes, an average duration of 1.008 ± 0.13 s (p < 0.03) was measured in the third trimester. The recorded material lasted for 16 h altogether. Based on these measurements, an accurate assessment of FBMs could be performed. The epochs can be divided into smaller-episode groups separated by shorter breaks. During the pregnancy, the rate of these breaks continuously decreases, and episode groups become more contiguous. However, there are significant differences between male and female fetuses. The proportion of the episodes which were classified into minimally 10-member episode groups was 19.7% for males and only 12.1% for females, even at the end of the third trimester. In terms of FBM detection, phonography offers a novel opportunity for long-term monitoring. Combined with cardiac diagnostic methods, it can be used for fetal activity assessment in the third trimester and make measurement appreciably easier than before. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Ferenc AU - Goda, Márton Áron AU - Hosszú, Gábor László AU - Telek, T. ED - Riccardo, Barbieri TI - A Proposed Phonography-Based Measurement of Fetal Breathing Movement Using Segmented Structures with Frequency Splitting T2 - 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) PB - IEEE CY - Danvers (MA) SN - 9781728119908 PY - 2020 SP - 4483 EP - 4486 PG - 4 DO - 10.1109/EMBC44109.2020.9175477 UR - https://m2.mtmt.hu/api/publication/31608948 ID - 31608948 N1 - PPKE ITK, Budapest, 1083, Hungary Budapest University of Technology and Economics, Budapest, Hungary Cited By :3 Export Date: 25 January 2022 LA - English DB - MTMT ER - TY - GEN AU - Goda, Márton Áron AU - Kovács, Ferenc TI - Phonocardiography based Method to Detect Fetal Breathing Movements PY - 2017 PG - 1 DO - 10.13140/RG.2.2.18493.51681 UR - https://m2.mtmt.hu/api/publication/3403669 ID - 3403669 LA - English DB - MTMT ER - TY - CHAP AU - Hosszú, Gábor László AU - Kovács, Ferenc TI - Topological Analysis of Ancient Glyphs T2 - 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) PB - IEEE Hungary Section CY - Piscataway (NJ) CY - Budapest SN - 9781509018192 T3 - IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS,, ISSN 1062-922X PY - 2016 SP - 2248 EP - 2253 PG - 6 DO - 10.1109/SMC.2016.7844573 UR - https://m2.mtmt.hu/api/publication/3143558 ID - 3143558 AB - This paper presents a machine learning approach to explore the phenetic relations of historical scripts and their glyphs. Its first step is the identification of the observable topological transformations in the development of the glyphs, and with the use of these transformations, the method collects the possible cognate glyphs by minimizing the necessary topological transformations between the glyphs. In these investigations, the phonetic properties of the graphemes were consistently considered. The second step of our method is selecting similarity groups of possible cognate glyphs by minimizing the differences of their topological properties. The third step is multidimensional scaling and different cluster analyses based on the similarity groups of the glyphs of the historical scripts in order to explore the phenetic relationships between these scripts. The resulting phenetic structure of the scripts could be used for paleographical research, especially in deciphering ancient hard-to-read inscriptions. LA - English DB - MTMT ER - TY - JOUR AU - Horváth, Péter AU - Hosszú, Gábor László AU - Kovács, Ferenc TI - Semi-Automatic RTL Methods for System-on-Chip IP Delivery in the Cyber-Physical System Era JF - PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE J2 - PERIOD POLYTECH ELECTR ENG COMP SCI VL - 60 PY - 2016 IS - 2 SP - 107 EP - 124 PG - 18 SN - 2064-5260 DO - 10.3311/PPee.8527 UR - https://m2.mtmt.hu/api/publication/3056101 ID - 3056101 LA - English DB - MTMT ER - TY - JOUR AU - Tóth, Loránd AU - Pardede, Raymond Eliza Ivan AU - Jeney, György András AU - Kovács, Ferenc AU - Hosszú, Gábor László TI - Preprocessing Algorithm for Deciphering Historical Inscriptions Using String Metric JF - INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION J2 - IN J ENGIN TECHNOL INNOV (IJETI) VL - 6 PY - 2016 IS - 3 SP - 202 EP - 213 PG - 12 SN - 2223-5329 UR - https://m2.mtmt.hu/api/publication/3119786 ID - 3119786 N1 - Megjegyzés-26967380 OA gold AB - The article presents the improvements in the preprocessing part of the deciphering method (shortly preprocessing algorithm) for historical inscriptions of unknown origin. Glyphs used in historical inscriptions changed through time; therefore, various versions of the same script may contain different glyphs for each grapheme. The purpose of the preprocessing algorithm is reducing the running time of the deciphering process by filtering out the less probable interpretations of the examined inscription. However, the first version of the preprocessing algorithm leads incorrect outcome or no result in the output in certain cases. Therefore, its improved version was developed to find the most similar words in the dictionary by relaying the search conditions more accurately, but still computationally effectively. Moreover, a sophisticated similarity metric used to determine the possible meaning of the unknown inscription is introduced. The results of the evaluations are also detailed. LA - English DB - MTMT ER -