The Experts below are selected from a list of 19368 Experts worldwide ranked by ideXlab platform
Ajay Kumar - One of the best experts on this subject based on the ideXlab platform.
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mathematical modeling of indian tala s kaidas and paltas using Formal Grammar
Journal of Ambient Intelligence and Humanized Computing, 2020Co-Authors: Bhavya Mor, Sunita Garhwal, Ajay KumarAbstract:Indian classical music is very renowned due to its sophistication and rhythmic diversities. Tala of Indian music represents rhythmic aspects in musical compositions. In this paper, we examined the patterns in Tala’s kaidas and paltas using Formal Grammar. Results indicate that the patterns in the paltas of Tala’s kaida exhibit cross-serial dependencies, which cannot be represented by a context-free Grammar. Further, we had represented these patterns using mathematical model deep pushdown automata. The proposed technique can be applied for checking the correctness of the patterns used in Tala’s Kaidas and Paltas.
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Mathematical modeling of Indian Tala’s Kaidas and Paltas using Formal Grammar
Journal of Ambient Intelligence and Humanized Computing, 2020Co-Authors: Bhavya Mor, Sunita Garhwal, Ajay KumarAbstract:Indian classical music is very renowned due to its sophistication and rhythmic diversities. Tala of Indian music represents rhythmic aspects in musical compositions. In this paper, we examined the patterns in Tala’s kaidas and paltas using Formal Grammar. Results indicate that the patterns in the paltas of Tala’s kaida exhibit cross-serial dependencies, which cannot be represented by a context-free Grammar. Further, we had represented these patterns using mathematical model deep pushdown automata. The proposed technique can be applied for checking the correctness of the patterns used in Tala’s Kaidas and Paltas.
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A Systematic Literature Review on Computational Musicology
Archives of Computational Methods in Engineering, 2019Co-Authors: Bhavya Mor, Sunita Garhwal, Ajay KumarAbstract:Heartbeat retains a musical rhythm and music speaks whenever words fail. This paper provides a systematic review of the papers related to computational musicology. This surveys 136 papers in more than 40 Journals and various Conference proceedings. The paper discusses the computational aspects of various music operations such as composition, analysis, retrieval, classification and implicit learning. The authors evaluate the literature based on multiple computational fields like Formal Grammar, hidden Markov model, n-gram, finite-state machine, finite-state transducer and artificial Grammar learning. The paper aims to generate a comprehensive description of research on computational musicology. Throughout the paper, the significant trends in research on computational fields in music are summarized.
Andrew Maxymillian Wheeler - One of the best experts on this subject based on the ideXlab platform.
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evolutionary music composer integrating Formal Grammar
Genetic and Evolutionary Computation Conference, 2007Co-Authors: Yaser M A Khalifa, Badar K Khan, Jasmin Begovic, Airrion Wisdom, Andrew Maxymillian WheelerAbstract:In this paper, an autonomous music composition tool is developed using Genetic Algorithms. The production is enhanced by integrating Formal Grammar rules. A Formal Grammar is a collection of either or both descriptive or prescriptive rules for analyzing or generating sequences of symbols. In music, these symbols are musical parameters such as notes and their attributes. The composition is conducted in two Stages. The first Stage generates and identifies musically sound patterns (motifs). In the second Stage, methods to combine different generated motifs and their transpositions are applied. These combinations are evaluated and as a result, musically fit phrases are generated. Four musical phrases are generated at the end of each program run. The generated music pieces will be translated into Guido Music Notation (GMN) and have alternate representation in Musical Instrument Digital Interface (MIDI). The Autonomous Evolutionary Music Composer (AEMC) was able to create interesting pieces of music that were both innovative and musically sound.
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GECCO (Companion) - Evolutionary music composer integrating Formal Grammar
Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07, 2007Co-Authors: Yaser M A Khalifa, Badar K Khan, Jasmin Begovic, Airrion Wisdom, Andrew Maxymillian WheelerAbstract:In this paper, an autonomous music composition tool is developed using Genetic Algorithms. The production is enhanced by integrating Formal Grammar rules. A Formal Grammar is a collection of either or both descriptive or prescriptive rules for analyzing or generating sequences of symbols. In music, these symbols are musical parameters such as notes and their attributes. The composition is conducted in two Stages. The first Stage generates and identifies musically sound patterns (motifs). In the second Stage, methods to combine different generated motifs and their transpositions are applied. These combinations are evaluated and as a result, musically fit phrases are generated. Four musical phrases are generated at the end of each program run. The generated music pieces will be translated into Guido Music Notation (GMN) and have alternate representation in Musical Instrument Digital Interface (MIDI). The Autonomous Evolutionary Music Composer (AEMC) was able to create interesting pieces of music that were both innovative and musically sound.
Bhavya Mor - One of the best experts on this subject based on the ideXlab platform.
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mathematical modeling of indian tala s kaidas and paltas using Formal Grammar
Journal of Ambient Intelligence and Humanized Computing, 2020Co-Authors: Bhavya Mor, Sunita Garhwal, Ajay KumarAbstract:Indian classical music is very renowned due to its sophistication and rhythmic diversities. Tala of Indian music represents rhythmic aspects in musical compositions. In this paper, we examined the patterns in Tala’s kaidas and paltas using Formal Grammar. Results indicate that the patterns in the paltas of Tala’s kaida exhibit cross-serial dependencies, which cannot be represented by a context-free Grammar. Further, we had represented these patterns using mathematical model deep pushdown automata. The proposed technique can be applied for checking the correctness of the patterns used in Tala’s Kaidas and Paltas.
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Mathematical modeling of Indian Tala’s Kaidas and Paltas using Formal Grammar
Journal of Ambient Intelligence and Humanized Computing, 2020Co-Authors: Bhavya Mor, Sunita Garhwal, Ajay KumarAbstract:Indian classical music is very renowned due to its sophistication and rhythmic diversities. Tala of Indian music represents rhythmic aspects in musical compositions. In this paper, we examined the patterns in Tala’s kaidas and paltas using Formal Grammar. Results indicate that the patterns in the paltas of Tala’s kaida exhibit cross-serial dependencies, which cannot be represented by a context-free Grammar. Further, we had represented these patterns using mathematical model deep pushdown automata. The proposed technique can be applied for checking the correctness of the patterns used in Tala’s Kaidas and Paltas.
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A Systematic Literature Review on Computational Musicology
Archives of Computational Methods in Engineering, 2019Co-Authors: Bhavya Mor, Sunita Garhwal, Ajay KumarAbstract:Heartbeat retains a musical rhythm and music speaks whenever words fail. This paper provides a systematic review of the papers related to computational musicology. This surveys 136 papers in more than 40 Journals and various Conference proceedings. The paper discusses the computational aspects of various music operations such as composition, analysis, retrieval, classification and implicit learning. The authors evaluate the literature based on multiple computational fields like Formal Grammar, hidden Markov model, n-gram, finite-state machine, finite-state transducer and artificial Grammar learning. The paper aims to generate a comprehensive description of research on computational musicology. Throughout the paper, the significant trends in research on computational fields in music are summarized.
Igor Kotenko - One of the best experts on this subject based on the ideXlab platform.
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RAID - Attacks against computer network: Formal Grammar-based framework and simulation tool
Lecture Notes in Computer Science, 2002Co-Authors: Vladimir I Gorodetski, Igor KotenkoAbstract:The paper presents an approach and Formal framework for modeling attacks against computer network and its software implementation on the basis of a multi-agent architecture. The model of an attack is considered as a complex process of contest of adversary entities those are malefactor or team of malefactors, on the one hand, and network security system implementing a security policy, on the other hand. The paper focuses on the conceptual justification of the chosen approach, specification of the basic components composing attack model, Formal frameworks for specification of the above components and their interaction in simulation procedure. The peculiarities of the developed approach are the followings: (1) malefactor's intention-centric attack modeling; (2) multi-level attack specification; (3) ontology-based distributed attack model structuring; (4) attributed stochastic LL(2) context-free Grammar for Formal specification of attack scenarios and its components ("simple attacks"); (5) using operation of Formal Grammar substitution for specification of multi-level structure of attacks; (6) state machine-based Formal Grammar framework implementation; (7) on-line generation of the malefactor's activity resulting from the reaction of the attacked network security system.
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attacks against computer network Formal Grammar based framework and simulation tool
Lecture Notes in Computer Science, 2002Co-Authors: Vladimir I Gorodetski, Igor KotenkoAbstract:The paper presents an approach and Formal framework for modeling attacks against computer network and its software implementation on the basis of a multi-agent architecture. The model of an attack is considered as a complex process of contest of adversary entities those are malefactor or team of malefactors, on the one hand, and network security system implementing a security policy, on the other hand. The paper focuses on the conceptual justification of the chosen approach, specification of the basic components composing attack model, Formal frameworks for specification of the above components and their interaction in simulation procedure. The peculiarities of the developed approach are the followings: (1) malefactor's intention-centric attack modeling; (2) multi-level attack specification; (3) ontology-based distributed attack model structuring; (4) attributed stochastic LL(2) context-free Grammar for Formal specification of attack scenarios and its components (simple attacks); (5) using operation of Formal Grammar substitution for specification of multi-level structure of attacks; (6) state machine-based Formal Grammar framework implementation; (7) on-line generation of the malefactor's activity resulting from the reaction of the attacked network security system.
Claus Brenner - One of the best experts on this subject based on the ideXlab platform.
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application of a Formal Grammar to facade reconstruction in semiautomatic and automatic environments
2009Co-Authors: Nora Ripperda, Claus BrennerAbstract:d city models are used in a huge number of applications today. They are applicable in the area of urban planning and city development, tourism and marketing and as well for navigation. All these applications need a 3d city model of a large area. And in these days the desire for actuality and a high degree of details is rising. Due to this the modelling of buildings as block models as before is not sufficient any more. There is a need for facade reconstruction methods that model windows and other facade elements in more detail. To acquire the huge demand of models, automatic methods are needed. In this paper we show the importance of the use of structure information for the reconstruction process. With an example we demonstrate the problems of reconstructions methods which work without structure information. Then we present how to use a Grammar to integrate structure in the process. Thereafter we present a manual modelling tool which is based on our facade Grammar. And finally an automatic facade reconstruction method based on reversible jump Markov Chain Monte Carlo (rjMCMC) is shown.
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reconstruction of facade structures using a Formal Grammar and rjmcmc
Joint Pattern Recognition Symposium, 2006Co-Authors: Nora Ripperda, Claus BrennerAbstract:Today's processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simple primitives to measurement data. At the same time, demands on the data are steadily growing. The need to be able to automatically transform object representations, for example, in order to generalize their geometry, enforces a structurally rich object description. Likewise, the trend towards more and more detailed representations requires to exploit structurally repetitive and symmetric patterns present in man-made objects, in order to make extraction cost-effective. In this paper, we address the extraction of building facades in terms of a structural description. As has been described previously by other authors, we use a Formal Grammar to derive a structural facade description in the form of a derivation tree. We use a process based on reversible jump Markov Chain Monte Carlo (rjMCMC) to guide the application of derivation steps during the construction of the tree.
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DAGM-Symposium - Reconstruction of façade structures using a Formal Grammar and RjMCMC
Lecture Notes in Computer Science, 2006Co-Authors: Nora Ripperda, Claus BrennerAbstract:Today's processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simple primitives to measurement data. At the same time, demands on the data are steadily growing. The need to be able to automatically transform object representations, for example, in order to generalize their geometry, enforces a structurally rich object description. Likewise, the trend towards more and more detailed representations requires to exploit structurally repetitive and symmetric patterns present in man-made objects, in order to make extraction cost-effective. In this paper, we address the extraction of building facades in terms of a structural description. As has been described previously by other authors, we use a Formal Grammar to derive a structural facade description in the form of a derivation tree. We use a process based on reversible jump Markov Chain Monte Carlo (rjMCMC) to guide the application of derivation steps during the construction of the tree.