Article
Computer Science, Information Systems
Daniel Gabric
Summary: This paper discusses the concept of bordered words and mutually bordered word pairs, and provides definitions and recurrence formulas. The research shows that the number of mutually bordered words is finite for a given length and alphabet, and the expected shortest overlap between word pairs is bounded above.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Engineering, Electrical & Electronic
Nam Yul Yu
Summary: The paper investigates a set of user-specific, non-orthogonal, binary spreading sequences for uplink grant-free NOMA, and conducts a probabilistic analysis to search for a permutation set for Golay sequences with low coherence. Simulation results show that the PAPR of multicarrier signals transmitted via these spreading sequences is significantly lower, and the performance of CS-based joint channel estimation and multiuser detection using these sequences is superior to other types of sequences.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Qianfan Wang, Suihua Cai, Xiao Ma
Summary: This paper applies free-ride coding to construct coupled LDPC codes, which allows transmission of extra bits without bandwidth expansion. The proposed codes outperform the basic LDPC codes in terms of error rate and do not sacrifice code rate.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Mathematics, Applied
Manaoj Aravind, Sudeshna Sinha, P. Parmananda
Summary: Research has shown that noise can influence synchronization in systems, especially in bistable dynamical systems, leading to counter-intuitive emergent behavior. Correlated noise enhances coherence while interactions push states apart.
Article
Computer Science, Information Systems
Haodi Zhong, Grigorios Loukides, Solon P. Pissis
Summary: This study formalizes the task of clustering an RS-dataset as an optimization problem, using a tree structure and edit-distance-like measure to quantify the similarity between records. An algorithm is developed to identify representative records and construct clusters, which are shown to be compact and well-separated in experiments, preserving meaningful relationships between demographics and sequences of diagnosis codes while being efficient and scalable.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Biochemical Research Methods
Xiayang Li, Moxuan Chen, Huaming Wu
Summary: This paper proposes a novel coding schema called DNA-LC, which converts binary sequences into DNA base sequences that satisfy both the GC balance and run-length constraints. It can reduce and correct errors in DNA storage.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Biochemical Research Methods
Xiayang Li, Moxuan Chen, Huaming Wu
Summary: DNA is an attractive medium for long-term digital data storage, but errors frequently occur during synthesis, amplification, and sequencing processes, which hinders its widespread use. This paper proposes a novel coding schema called DNA-LC to reduce and correct errors in DNA storage. The coding mode has a higher error correction capability and the decoding algorithm has been implemented in practice.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Computer Science, Theory & Methods
Guofu Zhang, Lulu Zheng, Zhaopin Su, Yifei Zeng, Guoquan Wang
Summary: In this work, a spread spectrum (SS) based audio watermarking scheme is proposed to resist against large-scale cropping (LSC) attacks more robustly. The scheme embeds the chaotic encrypted watermark into transform coefficients using DWT-GBT-SVD and combines m-sequences with the encrypted watermark to generate the watermarking key. Experimental results demonstrate that the proposed scheme has a superior performance in restoring the complete watermark and exhibits significantly high robustness against LSC attacks.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Information Systems
Weiming Wu, Qian Wang, Chengzhi Yuan, Cong Wang
Summary: This paper presents a method for rapid recognition of dynamical patterns based on deterministic learning. The method involves modeling, defining similarities, constructing dynamical estimators, and providing general conditions for accurate and rapid recognition in a sampled-data framework. Numerical examples demonstrate the effectiveness of the proposed method in quickly identifying test patterns corresponding to training patterns.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Seyedeh Zahra Paylakhi, Naser Pariz, Mohammad Bagher Naghibi Sistani, Mohammad Hossein Javidi Dasht Bayaz
Summary: This work focuses on cross-backstepping control for a type of uncertain non-strict-feedback non-linear systems with time-varying partial state constraints. A systematic approach is used to develop control laws for nonlinear systems with matched and unmatched uncertainties, leading to overall better performance compared to existing methods. The simulation results demonstrate the effectiveness of the proposed approach.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Telecommunications
Xia Li, Qin Yue
Summary: Quantum synchronizable codes (QSCs) are special quantum error-correcting codes that correct both quantum noise on qubits and misalignment in block synchronization. The letter presents a family of QSCs constructed from cyclic codes, achieving the best attainable misalignment tolerance. Two classes of specific constructions of QSCs are provided, with good error-correcting capability towards bit errors and phase errors.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Alexander Barg, Gilles Zemor
Summary: This paper investigates the construction of high-rate linear storage codes in graphs, relying on coset graphs of binary linear codes. Necessary conditions for high-rate codes are derived. The correction of multiple erasures in codewords is also addressed, with recovery guarantees based on graph expansion properties. Connections between linear storage codes and quantum CSS codes, bootstrap percolation, and contagion spread in graphs are pointed out, and several open problems are formulated.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Computer Science, Information Systems
Congzhe Cao, Ivan Fair
Summary: This study examines the ability of variable-length constrained sequence codes in determining codeword boundaries upon initial receipt of the sequence and in recovering synchronization when lost due to errors. A guided partial extension algorithm is proposed for constructing codes with high synchronization probabilities, showing excellent synchronization properties in simulations.
Article
Computer Science, Information Systems
Zihui Yan, Cong Liang, Huaming Wu
Summary: DNA-based data storage, as a powerful tool for storing digital information, has been continuously developed and received more attention. In this paper, the authors propose a segmented-edit error-correcting code called DNA-LM code, which has a systematic structure and can efficiently recover information from large-scale DNA strands. It does not require the endpoint of the received segment as prerequisite information for decoding. Furthermore, the authors generalize the decoding algorithm to handle duplicated DNA strands while maintaining linear time complexity in the codeword length and the number of duplications.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Mehdi Pishrow, Jamshid Abouei
Summary: This paper addresses the design of phase-coded sequences for radar systems with good aperiodic autocorrelation properties. A rank-one constraint optimization problem is formulated and solved using an iterative algorithm based on the sequential rank-one constraint relaxation framework. The proposed method outperforms previous works in terms of peak sidelobe ratio and integrated sidelobe ratio for polyphase and binary phase codes, as demonstrated by simulation results.
DIGITAL SIGNAL PROCESSING
(2023)
Article
Chemistry, Analytical
Gordana Gardasevic, Konstantinos Katzis, Dragana Bajic, Lazar Berbakov
Article
Physics, Multidisciplinary
Dragana Bajic, Natasa Misic, Tamara Skoric, Nina Japundzic-Zigon, Milos Milovanovic
Article
Physics, Multidisciplinary
Dragana Bajic, Vlado Dajic, Branislav Milovanovic
Summary: The world is currently facing the outbreak of the coronavirus, which has led to various serious problems, including cardiovascular complications. The mechanisms of coronavirus causing dysfunction of the cardiac autonomic nervous system (ANS) are not yet fully understood. This study focuses on analyzing different entropy measures as potential dimensions of cardiovascular data, showing significant differences in entropy measurements between healthy controls and COVID-19 patients. This research contributes to the understanding of the relationship between COVID-19 severity and ANS dysfunction, opening up avenues for further studies in this area.
Review
Biology
Petar Tonkovic, Slobodan Kalajdziski, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Miguel Pires, Nuno M. Garcia, Tatjana Loncar-Turukalo, Vladimir Trajkovik
Article
Pharmacology & Pharmacy
Vladislav Pajovic, Csenger Kovacshazi, Marija Kosic, Marko Vasic, Ljiljana Dukic, Gabor B. Brenner, Zoltan Giricz, Dragana Bajic, Peter Ferdinandy, Nina Japundzic-Zigon
Summary: This study identified two major phenotypes of doxorubicin-induced cardiomyopathy (DCM) in rats, with phenotype 1 characterized by left ventricular dilatation, reduced ejection fraction and increased NT-proBNP, and phenotype 2 characterized by left ventricular hypertrophy with preserved ejection fraction and moderate NT-proBNP increase. Both phenotypes exhibited a genetic shift to a new-born program.
TOXICOLOGY AND APPLIED PHARMACOLOGY
(2021)
Article
Multidisciplinary Sciences
Vladimir Tadic, Tatjana Loncar-Turukalo, Akos Odry, Zeljen Trpovski, Attila Toth, Zoltan Vizvari, Peter Odry
Summary: This note discusses a fuzzy optimization approach for Gabor filter-based object and text detection, demonstrating its robustness in low-quality input images. The method performs well in license plate localization and significantly improves object detection performance.
Article
Engineering, Biomedical
Dragana Bajic, Tamara Skoric, Sanja Milutinovic-Smiljanic, Nina Japundzic-Zigon
Summary: This paper analyzes and compares different methods for copula density estimation by mapping the copula density into a time series and applying Sample Entropy estimates. The results show bias in each estimation method but also identify stable working regions for each case. Furthermore, analyzing the dependency level time series reveals information not extractable from classical time series data.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Physics, Multidisciplinary
Ivan Lazic, Riccardo Pernice, Tatjana Loncar-Turukalo, Gorana Mijatovic, Luca Faes
Summary: This study used information-theoretic measures to analyze the joint dynamics of cardiovascular and respiratory physiological processes in patients with breathing disorders, showing a decrease in predictive information, information storage, as well as cross information and information transfer from respiration to heart period during the breathing disordered events.
Article
Neurosciences
Branislav Milovanovic, Vlado Djajic, Dragana Bajic, Aleksandra Djokovic, Tatjana Krajnovic, Sladjana Jovanovic, Antonija Verhaz, Pedja Kovacevic, Miodrag Ostojic
Summary: This study found that autonomic dysfunction, including sympathetic, parasympathetic, or both, may occur in COVID-19 patients in the early phase of infection, with significantly higher proportions in the severe and mild groups compared to healthy controls. Therefore, cardiovascular autonomic neuropathy should be taken into consideration in the assessment of COVID-19 patients.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Mathematics
Dragana Bajic, Goran Dimic, Nikola Zogovic
Summary: This paper proposes a code defined on a finite ring DOUBLE-STRUCK CAPITAL ZpM, which splits the code-word into sub-words with auxiliary control symbols to correct single symbol errors, applicable to general Mersenne numbers and adjustable multiplier sets for correcting adjacent binary errors.
Article
Chemistry, Multidisciplinary
Ivan Lazic, Ferran Agullo, Susanna Ausso, Bruno Alves, Caroline Barelle, Josep Ll Berral, Paschalis Bizopoulos, Oana Bunduc, Ioanna Chouvarda, Didier Dominguez, Dimitrios Filos, Alberto Gutierrez-Torre, Iman Hesso, Niksa Jakovljevic, Reem Kayyali, Magdalena Kogut-Czarkowska, Alexandra Kosvyra, Antonios Lalas, Maria Lavdaniti, Tatjana Loncar-Turukalo, Sara Martinez-Alabart, Nassos Michas, Shereen Nabhani-Gebara, Andreas Raptopoulos, Yiannis Roussakis, Evangelia Stalika, Chrysostomos Symvoulidis, Olga Tsave, Konstantinos Votis, Andreas Charalambous
Summary: This article introduces the INCISIVE project, which aims to enhance AI solutions for health imaging by unifying, harmonizing, and securely sharing scattered cancer-related data. The project focuses on data collection, harmonization, data sharing, and federated data storage, following legal, ethical, and FAIR principles. Breast cancer data integration and mammography collection are presented as examples.
APPLIED SCIENCES-BASEL
(2022)
Proceedings Paper
Engineering, Biomedical
Dragana Bajic, Vladislav Pajovic, Marija Matic, Marko Vasic, Olivera Sarenac, Nina Japundzic-Zigon
2020 11TH CONFERENCE OF THE EUROPEAN STUDY GROUP ON CARDIOVASCULAR OSCILLATIONS (ESGCO): COMPUTATION AND MODELLING IN PHYSIOLOGY NEW CHALLENGES AND OPPORTUNITIES
(2020)
Proceedings Paper
Engineering, Biomedical
Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic
2020 11TH CONFERENCE OF THE EUROPEAN STUDY GROUP ON CARDIOVASCULAR OSCILLATIONS (ESGCO): COMPUTATION AND MODELLING IN PHYSIOLOGY NEW CHALLENGES AND OPPORTUNITIES
(2020)
Proceedings Paper
Engineering, Biomedical
Ivan Lazic, Tatjana Loncar-Turukalo, Luca Faes
2020 11TH CONFERENCE OF THE EUROPEAN STUDY GROUP ON CARDIOVASCULAR OSCILLATIONS (ESGCO): COMPUTATION AND MODELLING IN PHYSIOLOGY NEW CHALLENGES AND OPPORTUNITIES
(2020)
Article
Engineering, Multidisciplinary
Vladimir Tadic, Zoltan Kiraly, Peter Odry, Zeljen Trpovski, Tatjana Loncar-Turukalo
ACTA POLYTECHNICA HUNGARICA
(2020)
