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The 2022 IEEE 2nd Conference on Information Technology and Data Science
Preliminary Book of Abstracts
Preliminary Book of Abstracts
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Information for authors:
The authors have a 15 minute talk to present their research and plus 5 minutes for questions and answers. The plenary and keynote lectures will be 30 minute talks. Please prepare your conference presentation in advance according to these time limits. The CISCO Webex online platform will be used for the conference. The conference will start on the 16th May, 2022 at 9 a.m., and will continue the on 17th and on 18th May, 2022 from 9.00 a.m. to 19.00 p.m. UTC+2. There will be two plenary lectures on each conference day and three parallel sessions will take place.
Technical support:
16th May, MONDAY
| 09:00 - 09:10 |
Conference Opening General Chair of CITDS2022: András Hajdu |
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| 09:10 - 09:40 Plenary Talk |
Life beyond the pixels: deep learning methods in cancer and virus research |
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| Session A Artificial Intelligence and its Applications Chair: András Hajdu |
Session B Computer Graphics and Data Visualization Chair: Roland Kunkli |
Session C Cryptography and Data Security Chair: Andrea Pintér-Huszti |
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| 09:50 - 10:10 | |
CatMat: 3D Object Recognition Using Catenarian Matching Máté Michelisz, Dániel Varga and János Márk Szalai-Gindl |
SIMBIoTA++: Improved Similarity-based IoT Malware Detection Levente Buttyán, Roland Nagy and Dorottya Papp |
| 10:10 - 10:30 | Performance Analysis of Stacking Machine Learning Models for Detecting Fraudulent Transaction Nayeem Abdullah, Ahnaf Chowdhury and Hasan Al Mamun |
Generalized Savitzky-Golay filter for smoothing triangular meshes Gábor Fábián |
Generalized Middle-Square Method Viktória Padányi and Tamás Herendi |
| 10:30 - 10:50 | A Comparison of HOG-SVM and SIFT-SVM Techniques for Identifying Brown Planthoppers in Rice Fields Christopher G. Harris, Y. Andi Trisonyo and Ignatius P. Andika |
Unbounding Discrete Oriented Polytopes Mátyás Kiglics, Gábor Valasek and Csaba Bálint |
Using Irreducible Polynomials For Random Number Generation Tamás Herendi and Roland Major |
| 11:10 - 11:30 | Machine Learning Techniques Applied To Bangla Crime News Classification Nusrat Islam, Rokeya Siddiqua and Sifat Momen |
On the visualization of the Rubik's Cube and its permutations Bence Dániel Erős and Roland Kunkli |
A Survey of Personalized and Incentive Mechanisms for Federated Learning Yuping Yan and Peter Ligeti |
| 11:30 - 11:50 | Evaluation of Machine Learning Methods for Predicting Rainfall in Bangladesh Ferdous Zeaul Islam, Rifat Islam, Ashfaq Jamil and Sifat Momen |
Fast, GPU-based Computation of Large Point-Spread Function Sets for the Human Eye using the Extended Nijboer-Zernike Approach István Csoba and Roland Kunkli |
Proximity-based anomaly detection in Securing Water Treatment Ermiyas Birihanu, Aron Barcsa-Szabo and Imre Lendak |
| 11:50 - 12:10 | Efficient tile-based lens flare rendering Andrea Bodonyi and Roland Kunkli |
A multi-round bilinear-map-based secure password hashing scheme Csanád Bertók, Andrea Huszti, Tamás Kádek and Zsanett Jámbor |
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| 12:10 - 12:30 | Dry beans classification using gradient booster tree algorithm Gopi Manoj Vuyyuru and Kaza Roopa Thanmai |
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| 14:00 - 14:30 Plenary Talk |
Artificial Intelligence in Anomaly Detection |
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| Session A Artificial Intelligence and its Applications Chair: András Hajdu |
Session B Network Theory Chair: István Fazekas |
Session C New Trends in Software Technology Chair: László Szathmáry |
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| 14:40 - 15:10 | Predicting the direction of the oil price trend using sentiment analysis Róbert Lakatos, Gergő Bogacsovics and András Hajdu |
Epidemic spread on multilayer random graphs Ágnes Backhausz Keynote Talk |
Knowledge Enriched Schema Matching Framework for Heterogeneous Data Integration Chuangtao Ma, Bálint Molnár, Ádám Tarcsi and András Benczúr |
| 15:10 - 15:30 | Multimodal Feature Extraction for Memes Sentiment Classification Tsegaye Misikir Tashu, Sofiane Ouaari and Tomas Horvath |
Joint Transmission Coordinated Multipoint on Mobile Users in 5G Heterogeneous Network Tahmina Khanom Tandra, Fehima Tajrian, Afia Hossain, Mohammad Tawhid Kawsar, Mohammad Rubbyat Akram and Abdullah Bin Shams |
Research of algorithm creating capabilities Anikó Apró and Zoltán Attila Godó |
| 15:30 - 15:50 | Multi-modal E-Commerce Product Classification Using Hierarchical Fusion Tsegaye Misikir Tashu, Sara Fattouh, Kiss Peter and Tomas Horvath |
Analysis of a typical cell in the uplink cellular network model using stochastic simulation Taisiia Morozova and Ingemar Kaj |
Towards an in-network GPU-accelerated packet processing framework Peter Voros, David Kis, Peter Hudoba, Gergely Pongracz and Sandor Laki |
| 16:00 - 16:20 | Neural Network Based Analysis of Terahertz Frequency Signal Propagation for B5G/6G Wireless Networks Djamila Talbi, Mohamed Amine Korteby and Zoltan Gal |
ML-Based Online Traffic Classification for SDNs Mohammed Nsaif, Gergely Kovásznai, Mohammed Abboosh, Ali Malik and Ruairí de Fréin |
Leveraging Fog Computing for Geographically Distributed Smart Cities Rasha Gargees |
| 16:20 - 16:40 | Neural Network Based Comparison of Real and Synthetic Data Series in TeraHertz Domain Yousif Mudhafar, Djamila Talbi and Zoltan Gal |
Greedy algorithm for edge-based nested community detection Imre Gera, András London and András Pluhár |
Benchmarking Redis and HBase NoSQL Databases Using Yahoo Cloud Service Benchmarking Tool Mustafa Alzaidi and Aniko Vagner |
| 16:40 - 17:00 | A continuous-time network evolution model describing N-interactions István Fazekas, Attila Barta and Bettina Porvázsnyik |
M-tree index for music similarity Gergő Gombos, Zsolt Zoltán Sajti and János Márk Szalai-Gindl |
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| 17:00 - 17:20 | Building microservice architecture based ensemble machine learning models through web services Máté Szabó |
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| 17:20 - 17:40 | Course Tracking Management System Asif Mahmud Shuvo, Md. Ferdouse Ahmed Foysal, Md. Shajedul Hasan and Fahim Ahmed Shakil |
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17th May, TUESDAY
| 09:00 - 09:30 Plenary Talk |
Scheduling Time-Sensitive Applications in Cloud, Fog and Mist Environments: Challenges and Future Directions |
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| Session A Artificial Intelligence and its Applications Chair: András Hajdu |
Session B Queueing Theory and its Applications Chair: János Sztrik |
Session C Automata, Logic, and Models of Computation Chair: György Vaszil |
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| 09:40 - 10:10 | Sensor design and integration into small sized autonomous vehicle Laszlo Kovacs, David Baranyai, Tamás Girászi, Tamás Majoros, Ádám Kovács, Máté Vágner, Dénes Palkovics and Tamás Bérczes |
Regenerative stability analysis of the retrial queueing systems Evsey Morozov Keynote Talk |
Automata - from Pattern Recognition to Molecular Computing Rudolf Freund Keynote Talk |
| 10:10 - 10:30 | 3D Localization and Data Quality Estimation with Marvelmind Máté Vágner, Dénes Palkovics and Laszlo Kovacs |
Stability condition of multiclass classical retrials: a revised regenerative proof Evsey Morozov and Stepan Rogozin |
Tree Generating Context-Free Grammars and Regular Tree Grammars Are Equivalent Dávid Kószó |
| 10:30 - 10:50 | Automatization of training data filtering for self-driving cars László Mészáros, Dénes Palkovics, Veer Singh and Laszlo Kovacs |
The Robustness of the cμ-Rule for a Unreliable Single-Server Two-Class System with Constant Retrial Rates Dmitry Efrosinin and Natalia Stepanova |
Torch: Software Package For The Search Of Linear Binary Codes Carolin Hannusch and Sándor Roland Major |
| 11:10 - 11:30 | Digital steering sensor development for model-scaled autonomous vehicles Laszlo Kovacs, Yu Xie, Csaba Zolnai, Ferenc Mári, István Oniga and Tamás Majoros |
Distributed Regenerative Simulation of a Speed Scaling Supercomputer Alexander Rumyantsev, Ruslana Nekrasova, Sergey Astafiev and Alexander Golovin |
Relaxation of the reachability problem in Petri net subclasses Szlobodnyik Gergely |
| 11:30 - 11:50 | Virtual environment synchronization for autonomous vehicles László Mészáros, Kornél János Kovács, Gábor Vasváry, Balázs Elek Borsos and Laszlo Kovacs |
Regeneration estimation in partially stable two class retrial queue Ruslana Nekrasova |
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| 11:50 - 12:10 | Image sensor based steering signal for a digital actuator system Árpád Pándy, Laszlo Kovacs, Zoltán Pánti, Dávid-Gyula Kun, Gábor Vasváry and András Hajdu |
Sensitivity analysis of a single server finite-source retrial queueing system with two-way communication and catastrophic breakdown using simulation Janos Sztrik and Ádám Tóth |
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| 14:00 - 14:30 Plenary Talk |
Big social data in pandemic modelling |
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| Session A Artificial Intelligence and its Applications Chair: András Hajdu |
Session B Queueing Theory and its Applications Chair: János Sztrik |
Session C Temporal Data Science with Applications Chair: Márton Ispány |
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| 14:40 - 15:00 | Deep learning-based anomaly detection for autonomous vehicles Tibor Péter Kapusi, Laszlo Kovacs and András Hajdu |
Performance investigation of reverse balking and reneging in cognitive radio networks using simulation Mohamed Hedi Zaghouani, Hamza Nemouchi and János Sztrik |
Estimating road traffic flows inmicroscopic Markov model Péter Jeszenszky, Renátó Besenczi, Máté Szabó and Márton Ispány |
| 15:00 - 15:20 | Neural Network-Based Prediction for Lateral Acceleration of Vehicles János Kontos, Balázs Kránicz and Ágnes Fogarassy-Vathy |
Simulation of a finite-source retrial queueing system with two-way communication, catastrophic breakdown and impatient customers Ádám Tóth and Janos Sztrik |
Fractals and Wavelets Based Energy Analysis of Cost-Balanced LEACH Sensor Network Mohamed Amine Korteby, Djamila Talbi and Zoltan Gal |
| 15:20 - 15:40 | Articulatory Data of Audiovisual Records of Speech Connected by Machine Learning Reka Trencsenyi and Laszlo Czap |
A Wireless Sensor Based Multi-layer Hybrid Deep Learning Model for Highly Correlated Human Activity Recognition Qingquan Sun |
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| 15:50 - 16:10 | Clustering-based customer representation learning from dynamic transactional data Gleb Glukhov and Klavdiya Bochenina |
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| 16:10 - 16:30 | Tracking the time evolution of Covid-19 related words via word2vec Bogdán Asztalos, Gergely Palla, Péter Pollner and Péter Bányász |
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| 16:30 - 16:50 | |||
18th May, WEDNESDAY
| 09:00 - 09:30 Plenary Talk |
Collaborative nowcasting and short-term forecasting during the COVID-19 pandemic |
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| Session A Artificial Intelligence and its Applications Chair: András Hajdu |
Session B Computational Statistics with Applications Chair: Sándor Baran |
Session C Embedded System Design and Applications Chair: István Oniga |
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| 09:40 - 10:10 | Negative Sampling in Variational Autoencoders Adrián Csiszárik, Beatrix Benkő and Dániel Varga |
Testing the rank of Gaussian subordinated bilinear systems Gyorgy Terdik and Jozsef Bokor |
FPGA acceleration for hypercomplex number systems Alin-Sasa Tisan Keynote Talk |
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| 10:10 - 10:30 | A Psychometric Approach to Email Authorship Assertion in An Organization Prathamesh Berde, Manoj Kumar, C S R C Murthy, Lalit Dagre and Seervi Tejaram |
Application of Time-Series Method in Company Revenue Herry Kartika Gandhi |
Single user activity recognition using an Activity Density Abstraction Graphics Algorithm Alexan Anca, Alexandru Alexan and Stefan Oniga |
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| 10:30 - 10:50 | Development of Machine Learning based Model for Anomaly Detection and Fault Cause Diagnosis of Assets in Petrochemical Industries Hwawon Hwang, Yojin Kim, Seunghye Lee, Heejeong Choi, Pilsung Kang, Yongha In, Wonwoo Ro and Namwook Kang |
Differential Privacy in Clinical Environment Gabor Opposits, Ervin Berényi and Miklós Emri |
Smart watch activity recognition using plot image analysis Alexandru Alexan, Alexan Anca and Stefan Oniga |
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| 11:10 - 11:30 | Comparative Analysis of Deep Learning Models for Network Intrusion Detection Systems Brenton Budler, Ritesh Adjoodha |
Modeling and Forecasting Time Series with Multiple Seasonal Periods Solomon Buke Chudo |
Anomaly Detection Using Hybrid Learning for Industrial IoT Atallo Takele and Balázs Villányi |
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| 11:30 - 11:50 | Machine Learning Assisted Risk Management And Responsible Conduct Of Gambling Sachintha Sankalpa |
Testing MPT-GRE Multipath Solution in Vehicular Network V2I Communication Szabolcs Szilágyi and László Kovács |
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| 11:50 - 12:10 | Deep Learning based Classification of Cervical Cancer using Transfer Learning K Hemalatha and V Vetriselvi |
Acoustic sensor with four microphones for a network used in monitoring Olimpiu Pop and Corneliu Rusu |
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| 12:10 - 12:30 | A Survey on Cervix Detection and Classification Based on Deep Learning Techniques K Hemalatha |
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| 14:00 - 14:30 Plenary Talk |
Information representation by TP model transformation |
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| Session A Virtual Reality and Related Topics Chair: Attila Gilányi |
Session B
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Session C
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| 14:40 - 15:00 | A serious game application for testing auditory memory capabilities György Wersényi |
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| 15:00 - 15:20 | Auditory and Haptic Solutions for Access and Feedback in Internet of Digital Reality Applications György Wersényi and Ádám Csapó |
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| 15:20 - 15:40 | The Effectiveness of the Webtable-Datatable Conversion Approach Mária Csernoch, Katalin Sebestyén and Gábor Csapó |
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| 15:50 - 16:10 | Enhancing Hungarian students’ English language skills on the basis of literary texts in the three-dimensional space István Károly Boda, Erzsébet Tóth and László T. Nagy |
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| 16:10 - 16:30 | Using a virtual reality headset in the simulation of the control room of a nuclear power plant Beatrix Katalin Szabó |
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| 16:30 - 16:50 | ||||
