Predicting antimicrobial peptides (AMPs’) function is an important and difficult problem, particu... more Predicting antimicrobial peptides (AMPs’) function is an important and difficult problem, particularly when AMPs have many multiplex functions, i.e. some AMPs simultaneously have two or three functional classes. By introducing the ‘CNN-BiLSTM-SVM classifier’ and ‘cellular automata image’, a new predictor, called iAMP-CA2L, has been developed that can be used to deal with the systems containing both monofunctional and multifunctional AMPs. iAMP-CA2L is a 2-level predictor. The 1st level is to identify whether a given query peptide is an AMP or a non-AMP, while the 2nd level is to predict if it belongs to one or more functional types. As demonstration, the jackknife cross-validation was performed with iAMP-CA2L on a benchmark dataset of AMPs classified into the following 10 functional classes: (1) antibacterial peptides, (2) antiviral peptides, (3) antifungal peptides, (4) antibiofilm peptides, (5) antiparasital peptides, (6) anti-HIV peptides, (7) anticancer (antitumor) peptides, (8)...
A data parallel solution approach formulated with cellular automata is proposed with a potential ... more A data parallel solution approach formulated with cellular automata is proposed with a potential to become a part of future sustainable computers. It offers extreme parallelism on data-flow principles. If a problem can be formulated with a local and iterative methodology, so that data cell results always depend on neighbouring data items only, the cellular automata could be an efficient solution framework. We have demonstrated experimentally, on a graph-theoretical problem, that the performance of the proposed methodology has a potential to be for two orders of magnitude faster from known solutions.
ABSTRACT We propose a new algorithm for counting isolated objects of arbitrary shapes in 2D recta... more ABSTRACT We propose a new algorithm for counting isolated objects of arbitrary shapes in 2D rectangular domains or binary images. The algorithm is based on two cellular automata (CA). First CA saves 2 or more connectivity of image while the second CA is Leviald’s CA that count 1-connected parts after transformations of the initial image. The CA algorithm was implemented on a parallel computer. Computational performances are evaluated and measured on real cases. The obtained results indicate that the proposed approach achieves comparable complexity as standard approaches; however, the number of processing nodes does not limit the speedup and scalability of the proposed algorithm.
We propose a new algorithm based on cellular automation (CA) for preservingn-connectivity,n>1.... more We propose a new algorithm based on cellular automation (CA) for preservingn-connectivity,n>1. The CA algorithm transforms an initial grid configuration in a grid with same number of holes but without 1-connected components. Also, maximal thinning ofn-connected components,n>1, is achieved. The grid can be used as initial for investigating properties of initial grid. Computational performances are evaluated and measured on real cases. The obtained results indicate that the proposed approach achieves comparable complexity as standard approaches; however, the speed-up and scalability of the proposed algorithm are not limited by the number of processing nodes.
A Poisson limit theorem for A-points of upcrossings of a high level by trajectories of the random... more A Poisson limit theorem for A-points of upcrossings of a high level by trajectories of the random field χ(t) is established. Kallenberg theorem, standard results from asymptotic methods of Gaussian process and fields and Piterbarg result of high level intersection of χ-field are exploited.
IEEE IT 2018 Conference Proceedings, Žabljak, Montenegro, 2018
Counterfeit wine presents a significant issue for winemakers since it affects producer's repu... more Counterfeit wine presents a significant issue for winemakers since it affects producer's reputation, profit, and most importantly, it can be harmful for the consumers. This paper describes a brand protection and anti-counterfeiting solution for the wine industry based on smart tags and Cloud enabled technologies. The main idea behind smart tags is to utilize quick response codes and functional inks supported by the Cloud system and two-way communication between the winemaker and end-user. The proposed system is expected to make wine counterfeiting hard and unprofitable.
Predicting antimicrobial peptides (AMPs’) function is an important and difficult problem, particu... more Predicting antimicrobial peptides (AMPs’) function is an important and difficult problem, particularly when AMPs have many multiplex functions, i.e. some AMPs simultaneously have two or three functional classes. By introducing the ‘CNN-BiLSTM-SVM classifier’ and ‘cellular automata image’, a new predictor, called iAMP-CA2L, has been developed that can be used to deal with the systems containing both monofunctional and multifunctional AMPs. iAMP-CA2L is a 2-level predictor. The 1st level is to identify whether a given query peptide is an AMP or a non-AMP, while the 2nd level is to predict if it belongs to one or more functional types. As demonstration, the jackknife cross-validation was performed with iAMP-CA2L on a benchmark dataset of AMPs classified into the following 10 functional classes: (1) antibacterial peptides, (2) antiviral peptides, (3) antifungal peptides, (4) antibiofilm peptides, (5) antiparasital peptides, (6) anti-HIV peptides, (7) anticancer (antitumor) peptides, (8)...
A data parallel solution approach formulated with cellular automata is proposed with a potential ... more A data parallel solution approach formulated with cellular automata is proposed with a potential to become a part of future sustainable computers. It offers extreme parallelism on data-flow principles. If a problem can be formulated with a local and iterative methodology, so that data cell results always depend on neighbouring data items only, the cellular automata could be an efficient solution framework. We have demonstrated experimentally, on a graph-theoretical problem, that the performance of the proposed methodology has a potential to be for two orders of magnitude faster from known solutions.
ABSTRACT We propose a new algorithm for counting isolated objects of arbitrary shapes in 2D recta... more ABSTRACT We propose a new algorithm for counting isolated objects of arbitrary shapes in 2D rectangular domains or binary images. The algorithm is based on two cellular automata (CA). First CA saves 2 or more connectivity of image while the second CA is Leviald’s CA that count 1-connected parts after transformations of the initial image. The CA algorithm was implemented on a parallel computer. Computational performances are evaluated and measured on real cases. The obtained results indicate that the proposed approach achieves comparable complexity as standard approaches; however, the number of processing nodes does not limit the speedup and scalability of the proposed algorithm.
We propose a new algorithm based on cellular automation (CA) for preservingn-connectivity,n>1.... more We propose a new algorithm based on cellular automation (CA) for preservingn-connectivity,n>1. The CA algorithm transforms an initial grid configuration in a grid with same number of holes but without 1-connected components. Also, maximal thinning ofn-connected components,n>1, is achieved. The grid can be used as initial for investigating properties of initial grid. Computational performances are evaluated and measured on real cases. The obtained results indicate that the proposed approach achieves comparable complexity as standard approaches; however, the speed-up and scalability of the proposed algorithm are not limited by the number of processing nodes.
A Poisson limit theorem for A-points of upcrossings of a high level by trajectories of the random... more A Poisson limit theorem for A-points of upcrossings of a high level by trajectories of the random field χ(t) is established. Kallenberg theorem, standard results from asymptotic methods of Gaussian process and fields and Piterbarg result of high level intersection of χ-field are exploited.
IEEE IT 2018 Conference Proceedings, Žabljak, Montenegro, 2018
Counterfeit wine presents a significant issue for winemakers since it affects producer's repu... more Counterfeit wine presents a significant issue for winemakers since it affects producer's reputation, profit, and most importantly, it can be harmful for the consumers. This paper describes a brand protection and anti-counterfeiting solution for the wine industry based on smart tags and Cloud enabled technologies. The main idea behind smart tags is to utilize quick response codes and functional inks supported by the Cloud system and two-way communication between the winemaker and end-user. The proposed system is expected to make wine counterfeiting hard and unprofitable.
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Papers by Biljana Stamatović