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

09:10 - 09:40
Plenary Talk

Life beyond the pixels: deep learning methods in cancer and virus research
Péter Horváth
Chair: András Hajdu

  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
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
12:10 - 12:30   Dry beans classification using gradient booster tree algorithm
Gopi Manoj Vuyyuru and Kaza Roopa Thanmai

 
14:00 - 14:30
Plenary Talk

Artificial Intelligence in Anomaly Detection
Gheorghe Sebestyén
Chair: István Oniga

  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
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
17:00 - 17:20     Building microservice architecture based ensemble machine learning models through web services
Máté Szabó
17:20 - 17:40     Course Tracking Management System
Asif Mahmud Shuvo, Md. Ferdouse Ahmed Foysal, Md. Shajedul Hasan and Fahim Ahmed Shakil

17th May, TUESDAY

09:00 - 09:30
Plenary Talk

Scheduling Time-Sensitive Applications in Cloud, Fog and Mist Environments: Challenges and Future Directions
Helen D. Karatza
Chair: János Sztrik

  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
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
 
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
 
 
14:00 - 14:30
Plenary Talk

Big social data in pandemic modelling
Gergely Röst
Chair: István Fazekas

  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
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
 
15:50 - 16:10
  Clustering-based customer representation learning from dynamic transactional data
Gleb Glukhov and Klavdiya Bochenina
16:10 - 16:30     Tracking the time evolution of Covid-19 related words via word2vec
Bogdán Asztalos, Gergely Palla, Péter Pollner and Péter Bányász
16:30 - 16:50      

18th May, WEDNESDAY

09:00 - 09:30
Plenary Talk

Collaborative nowcasting and short-term forecasting during the COVID-19 pandemic
Johannes Bracher
Chair: Sándor Baran

  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
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
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
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
 
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
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
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
12:10 - 12:30 A Survey on Cervix Detection and Classification Based on Deep Learning Techniques
K Hemalatha

 
 
14:00 - 14:30
Plenary Talk

Information representation by TP model transformation
Péter Baranyi
Chair: Attila Gilányi

  Session A
Virtual Reality
and Related Topics

Chair: Attila Gilányi
Session B

 

Session C

 

14:40 - 15:00 A serious game application for testing auditory memory capabilities
György Wersényi
   
15:00 - 15:20 Auditory and Haptic Solutions for Access and Feedback in Internet of Digital Reality Applications
György Wersényi and Ádám Csapó
   
15:20 - 15:40 The Effectiveness of the Webtable-Datatable Conversion Approach
Mária Csernoch, Katalin Sebestyén and Gábor Csapó
   
 
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
   
16:10 - 16:30 Using a virtual reality headset in the simulation of the control room of a nuclear power plant
Beatrix Katalin Szabó
   
16:30 - 16:50
   

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