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COLLECTIVE COMPUTATION: TURNING THE UNDERGROUND INTO AN ANT NEST
By: Clemencio Morales, Luis Fernando de Mingo   (4452 reads)
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Abstract: The management and proper use of the Urban Public Transport Systems (UPTS) constitute a field as critical as little investigated according to its relevance and urgent idiosyncrasy within smart cities realm. In this paper, a newfangled approach by using the Natural Computing paradigm and Collective Computation is shown, more concretely taking advantage of an Ant Colony Optimization algorithm variation in order to build a system that makes the complete control of the UPTS a tangible reality.

Keywords: Smart City, Natural Computing, Collective Computation, Urban Public Transport System, Wireless Sensor Networks

ACM Classification Keywords: 10003120.10003138: Human-centered computing - Ubiquitous and mobile computting, 10010147.10010178: Computing methodologies - Artificial intelligence, 10010147.10010257.10010293.10011809: Computing methodologies - Bio-inspired approaches, 10010405.10010481.10010485: Applied computing - Transportation

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COLLECTIVE COMPUTATION: TURNING THE UNDERGROUND INTO AN ANT NEST

Clemencio Morales, Luis Fernando de Mingo

http://www.foibg.com/ijita/vol23/ijita23-01-p02.pdf

IMPLEMENTING A LINEAR FUNCTION TO MEASURE THE QUALITY IN GOVERNMENTS
By: Alberto Arteta, Juan Castellanos, Yanjun Zhao, Danush K. Wij  (120841 reads)
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Abstract: Once the biggest issue with the current democracy system is identified, the research focuses on finding the root of the problem. This is a key step and requires further analysis as we are constantly deviating from the true origin. Unless we tackle the root of the problem any attempt we make to improve the system will be in vain. The current democratic system is severely flawed and therefore requires improvement that can only be detected by society. The works highlighted here report numerous problems of corruption, lack of transparency, information monopoly, and bipartisanship in virtually all current governments. These days, citizen demonstrations against political abuse are a social reality, which proves the large gap that exists between the government and the middle class. This work defines several parameters to measure the quality of governments and propose to use a linear function to check on them. Once the root of the problem comes to the surface, the way to move forward becomes clear.

Keywords: Linear function, quality measurement, Democratic system

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IMPLEMENTING A LINEAR FUNCTION TO MEASURE THE QUALITY IN GOVERNMENTS

Alberto Arteta, Juan Castellanos, Yanjun Zhao, Danush K. Wijekularathna

http://www.foibg.com/ijita/vol23/ijita23-01-p01.pdf

FORMAL THEORY OF SEMANTIC AND PRAGMATIC INFORMATION - A TECHNOCRATIC APPROACH
By: Venco Bojilov   (6218 reads)
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Abstract: The actual development of our civilization on Earth in the last century has seen an explosive growth of meaningful production, manipulation and use of information. Unfortunately, we still rely on an intuitive notion of this phenomenon, and even some of the leading experts avoid giving a precise definition of this development. What is more important - the explosive increase of the capacity to exchange signals over the past two decades has brought an overall reduction of the information in the communication flow, rather than its integral growth, and its allegorical approximation is closer to the level of relict infrared radiation of the Universe, rather than a typical star’s optic or UHF emission. The other side of the coin is the exponentially growing complexity and linked with it impracticability of relevant functions which make use of such information. The paper describes an approach for effective framing of the so called semantic-pragmatic information and a relatively simple formal structural model of a subject which uses such information, as a set of properties of this paradigm, concerning the boundaries of possible information consumption in real natural or artificial systems in the Universe. As formulated, these properties govern: - The limitations on the amount of information and information exchange in real subjects / systems; - The conditions for converting Information into Noise and vice versa; - The principles of growth of proper pragmatic information in a natural subject /system during its physical existence/”life”; - Asymptotical reduction of communicated information among so called "Teleological" or "Autopoietic" (i.e. self-expandable, self-steering and self-developing) systems during their post-mature evolution. Some interesting consequences of the identified properties are outlined, that can have a great social relevance both now and in the near future.

Keywords: Semantic Information Theory, Framework, General System Theory Class, Instance Definition.

ACM Classification Keywords: H.1.1 Systems and Information Theory, Value of information

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FORMAL THEORY OF SEMANTIC AND PRAGMATIC INFORMATION - A TECHNOCRATIC APPROACH

Venco Bojilov

http://www.foibg.com/ijita/vol22/ijita22-04-p05.pdf

SOFTWARE MODEL COGNITIVE VALUE
By: Elena Chebanyuk, Krassimir Markov   (5404 reads)
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Abstract: An approach for estimation of Software Models (SMs) from Cognitive Science point of view is outlined in the paper. The basic notion of this approach is the new term “Software Model Cognitive Value” (SMCV). Software models are represented as Unified Modeling Language (UML) UML 2.5, 2012 diagrams that are used in Agile approach Beck et al, 2001; Allen, 2015. In order to define peculiarities of SM human perception, cognitive principles of comprehension are considered in this paper. According to these principles, the peculiarities of SM comprehension in different situations when software is developed following Agile approach, are formulated. The proposed approach offers an estimation of SM from the points of view both Software Engineering and Cognitive Science. From the Software Engineering view, characteristics of SM designing are considered. The cognitive features of SM such as its comprehension and understanding are taken into account. The process of applying the proposed approach to choose the best type of SM for requirement analysis for project of designing 3D-graph is also outlined in this paper. Applications of this approach and advantages of its applying for solving typical Software Engineering tasks are formulated.

Keywords: Software Model Cognitive Value; UML Diagram; Agile Development; Model-Driven? Development; Software Lifecycle Process; Software Designing, Software Requirement Analysis; 3Dgrpah.

ACM Classification Keywords: D.2 Software Engineering; D.2.1 Requirements/Specifications; D.2.9 Management - Life cycle; Software process models; I.2.0 General: Cognitive science.

Link:

SOFTWARE MODEL COGNITIVE VALUE

Elena Chebanyuk, Krassimir Markov

http://www.foibg.com/ijita/vol22/ijita22-04-p04.pdf

SYNTACTIC OPERATIONS – MODELING LANGUAGE FACULTY
By: Velina Slavova, Alona Soschen  (4561 reads)
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Abstract: We further develop the self-centered model of mental representations for language with the focus on the mechanisms underlying syntactic calculus and the construction of larger meaningful constructs out of the basic syntactic units. We consider the inborn multimodal perception and the selfconcept as an actor in an environment as the basis for concept formation and syntactic construction. Based on relevant findings in language acquisition, we investigate the perceptual, semantic, and syntactic aspects of mental apparatus. We see this apparatus as an overall system that can handle the task of conceptualization and the task of syntactic construction using the same mechanisms. Based on the argument-centered model of mental representations which involves such processing homogeneity, we show the gradual development of the complexity of syntactic formants during language acquisition.

Keywords: language acquisition, syntax complexity, mental operations

ACM classification keywords: I.2.0: Artificial Intelligence, I.2.7: Natural Language Processing

Link:

SYNTACTIC OPERATIONS – MODELING LANGUAGE FACULTY

Velina Slavova, Alona Soschen

http://www.foibg.com/ijita/vol22/ijita22-04-p03.pdf

ON MENTAL REPRESENTATIONS: LANGUAGE STRUCTURE AND MEANING REVISED
By: Velina Slavova, Alona Soschen   (5145 reads)
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Abstract: Based on results from recent studies in neuroscience, cognitive science, brain imaging and psychology, we develop a model of language faculty. We suggest that the entire brain, all its subnets and processes are responsible for the formation of mental representations of the world, obtained gradually by the subject as an actor in the environment. We assume that mental representations are developed using inborn cognitive mechanisms for creating internal information units operated on a continuous bases for the internal ‘language of thought’ and the external ‘language of communication’. We consider that the underlying mental processing is self-centered and uses inborn operations such as ‘projection of the actor’ and ‘mirroring’. We discuss the four levels of cognitive apparatus related to the language faculty (perceptual, syntactic, semantic, and communicative). Language development relies on species-specific mental operations that comply with the general laws of efficient growth in biological systems, the laws that account for both the effective reiteration of the minimal meaningful unit in syntax and the semantics of concept formation.

Keywords: brain activity, fMRI, language, semantic space, concept, syntax, semantics

ACM classification keywords I.2.0: AI General I.2.7: Natural Language Processing

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ON MENTAL REPRESENTATIONS: LANGUAGE STRUCTURE AND MEANING REVISED

Velina Slavova, Alona Soschen

http://www.foibg.com/ijita/vol22/ijita22-04-p02.pdf

ALGORITHM FOR QUICK NUMBERING OF LARGE VOLUMES OF DATA
By: Krassimira Ivanova  (4784 reads)
Rating: (1.00/10)

Abstract: An original algorithm for numbering large datasets by means of Natural Language Addressing (NLA) is presented in the paper. We use a counter to number different instances and store its current value in the container NL-addressed by the instance. If the instance is repeated, from this NL-address we receive its already assigned number. The algorithm is implemented in an experimental program RDFArM for storing large RDF-datasets. The provided experiments have shown that NL-access time for one instance (triple or quadruple) does not depend on the number of already stored instances from the dataset. This is very important for storing Big Data.

Keywords: Natural Language Addressing, Big Data, Numbering Large Datasets

ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications

Link:

ALGORITHM FOR QUICK NUMBERING OF LARGE VOLUMES OF DATA

Krassimira Ivanova

http://www.foibg.com/ijita/vol22/ijita22-04-p01.pdf

INTEGRATION OF ONTOLOGY RESOURCES INTO OPEN FORMAT DOCUMENTS FOR ...
By: Viacheslav Lanin   (4599 reads)
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Abstract: The article describes the development of a software library for ontological metadata inclusion into modern office documents formats. The model of the document used for indexing its content by ontology concepts is given. Existing projects addressed for similar problems are overviewed.

Keywords: ontology; semantic indexing, document formats.

ACM Classification Keywords: I.2 Artificial Intelligence: I.2.11 Distributed Artificial Intelligence; I.7 Document and Text Processing: I.7.2 Document Preparation; I.7.3 Index Generation.

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INTEGRATION OF ONTOLOGY RESOURCES INTO OPEN FORMAT DOCUMENTS FOR SEMANTIC INDEXING

Viacheslav Lanin

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p06.pdf

TECHNIQUE FOR ROAD AUTOMATED TRACKING WITH UNMANNED AERIAL VEHICLES
By: Samvel Hovsepyan  (4006 reads)
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Abstract: One of the most popular areas of unmanned aerial vehicles (UAV) use is the monitoring of roads and highways. UAVs are considered to be a low-cost and rapidly growing platform that can provide effective mechanisms for data collection and processing, especially in case of long distances. In this paper a new method for automated road monitoring with the help of UAV is offered. The method is suitable for determining image areas, where the heterogeneity compared with the general road structure is spotted. Also, algorithms for finding road cover from video shots and for determining the direction of the road are offered. The method is applicable for automated control of UAVs in order to find and track roads, as well as registration of various types of objects on the road. All the methods and algorithms were tested on a model and the results are shown.

Keywords: image processing, road tracking, road monitoring, similarity measure, UAV

ACM Classification Keywords: Image Processing and Computer Vision

Link:

TECHNIQUE FOR ROAD AUTOMATED TRACKING WITH UNMANNED AERIAL VEHICLES

Samvel Hovsepyan

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p05.pdf

METHODS AND ALGORITHMS OF LOAD BALANCING
By: Igor Ivanisenko   (4407 reads)
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Abstract: In this paper the classification of the most used load balancing methods in distributed systems (including cloud technology, cluster systems, grid systems) is described. Load balancing is represented on four levels of network model OSI: channel, network, transport, application. Features, advantages and shortcomings are presented for each level. Also strengths and weaknesses of network, transport and application levels are described. Basics of hardware based load balancing in Network Packet Broker and Application Delivery Controllers, that working on OSI layers 2-7, are described. In this work strengths and weaknesses of hardware based load balancing are shown. Basics of software based load balancing are carried out. Differences between software based load balancing and hardware based one are described too. In the work characterizations of the most used dynamic load balancing algorithms in distributed systems is described. Advantages and shortcomings of each algorithm are carried out. Load balancing uses a variety of methods and algorithms for balancing. In the work methods that are used on channel, network, transport, application levels of OSI model and available in balancers and/or can be configured on the servers are presented and analyzed. Employment, effectiveness, strengths and weaknesses of each type of the methods are described in accordance with analysis. Following methods are carried out: direct Routing, Network Address Translation, Source Network Address Translation, Transparent SNAT, SSL Termination or Acceleration, TCP/IP server load balancing, Hashing, Caching, DNS load balancing, Network Load Balancing, Proxy method, Load balancing by using redirection.

Keywords: Keywords— load balancing, distributed system, hardware and software load balancing cloud, DNS, network level, Network Address Translation, proxy.

ACM Classification Keywords: C.2.0 General – Open Systems Interconnection reference model (OSI), C.2.3 Network Operations - Network management, C.2.4 Distributed Systems - Client/server, Distributed applications

Link:

METHODS AND ALGORITHMS OF LOAD BALANCING

Igor Ivanisenko

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p04.pdf

AUTOMATIZATION OF COMPUTER BUSINESS GAME AUTOMATON MODEL CONSTRUCTION
By: Olga Vikentyeva, Alexander Deryabin, Dmitrij Kozhevnikov, Li  (4961 reads)
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Abstract: This paper suggests an approach, which enables automatization of computer business game automaton model construction. The processes of business game design and conduction occur within the Competence-based Business Game Studio source environment. This fact provides the universality of the domain. Separation of information system into operating and automaton models causes control logic to be concentrated within the automaton model. Due to this fact the control object (operating model) is to have unsophisticated behavior: accepting commands from the automaton and then executing stated commands. This paper verifies the need for automaton model, provides analysis of requirements and describes the design of corresponding program module (interactive visual model editor) of the Competence-based Business Game Studio source environment. This module is used to construct and edit business process models interactively during the stage of business game design.

Keywords: competencies, active learning methods, business-game, business-process, control automat, operating automat, business process modeling.

ACM Classification Keywords: K.3 COMPUTERS AND EDUCATION: K.3.2 Computer and Information Science Education – Information systems education. I.2 ARTIFICIAL INTELLIGENCE: I.2.1 Applications and Expert Systems – Games.

Link:

AUTOMATIZATION OF COMPUTER BUSINESS GAME AUTOMATON MODEL CONSTRUCTION

Olga Vikentyeva, Alexander Deryabin, Dmitrij Kozhevnikov, Lidiia Shestakova

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p03.pdf

About estimate of fuzzy differential equations distribution
By: Alexei Bychkov, Eugene Ivanov, Olha Suprun  (3473 reads)
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Abstract: In the article the methods of estimation of solution’s distribution for a new class of uncertain differential equations which contain a possibilistic process in right part are developed. The example of the use of developed methods is given.

Keywords: fuzzy logic, theory of possibility, fuzzy equation, estimate of distribution.

ACM Classification Keywords: G.1.7 – Ordinary Differential Equations. J.3 Life and Medical Sciences.

Link:

Alexei Bychkov, Eugene Ivanov, Olha Suprun

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p02.pdf

MAIN DIFFERENCES BETWEEN MAP/REDUCE AND COLLECT/REPORT PARADIGMS
By: Krassimira Ivanova   (3269 reads)
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Abstract: This article presents main differences between Map/Reduce (MRP) and Collect/Report (CRP) paradigms. The most important difference is that in MRP the calculations and data must be all completely independent. In opposite, the CRP assumes that all data are interconnected and may be processed in common, taking in account all interconnections.

Keywords: Map/Reduce Paradigm, Collect/Report Paradigm, Big Data, Cloud computing

ACM Keywords: E.1 Data Structures; Distributed data structures.

Link:

MAIN DIFFERENCES BETWEEN MAP/REDUCE AND COLLECT/REPORT PARADIGMS

Krassimira Ivanova

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p01.pdf

IMPROVING AUTOMATIC SPEECH RECOGNITION ACCURACY BY MEANS OF PRONUNCIATION VARIAT
By: Vladimir Chuchupal, Anton Korenchikov  (3819 reads)
Rating: (1.00/10)

Abstract: We explore the properties of the pronunciation variation (PV) models as an approach for an automatic speech recognition accuracy improvement. The PV model is formulated as well as the methods to find out PV parameters and include the model into the search procedures. We show that utilizing of the PV models could substantionally increase the accuracy of automatic recognition of natural speech.

Keywords: automatic speech recognition, acoustic modeling, speech pronunciation variation modeling, explicit models, hidden markov models.

ACM Classification Keywords: I.2.7 Natural Language Processing - Speech recognition and synthesis

Link:

IMPROVING AUTOMATIC SPEECH RECOGNITION ACCURACY BY MEANS OF PRONUNCIATION VARIATION MODELING

Vladimir Chuchupal, Anton Korenchikov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p08.pdf

BUSINESS PROCESSES MODELLING WITH DSM PLATFORM AT INTEGRATED SYSTEMS DEVELOPMENT
By: Anna Lubyagina, Lyudmila Lyadova, Alexander Sukhov   (3397 reads)
Rating: (1.00/10)

Abstract: The first and most labor-consuming stage of information systems development is an analysis stage. At this stage the set of different formal models describing systems domains, different aspects of the created system functioning is created. The model-centric approach focuses attention on the models at the each stage of the development process. Modelling tools are used by developers and experts in specific domains. These tools must be affordable for different specialists. Created models must be clarity and understandable for all developers and domain experts. This feature is supported with domain-specific modelling tools. Language workbenches include means for domain-specific languages creation. Modelling with DSM platform is more suitable for the domain experts, system and business analysts. Different tasks of the system design and development request specific formalizing means needed for modeling. Different modelling languages and tools are used by analysts. They need to support continuity of development stages, reusability of created models for the solution of different tasks. DSM platforms provide model transformations, translation of models from one modelling language to another. These tasks are important for large projects of complex information systems development. The basis of language toolkits creation is metamodeling. The tools of MetaLanguage? DSM platform, allowing designing domain specific languages and models for different domains, to transform models at systems integration, are described. Examples of metamodels and models, transformation rules are presented.

Keywords: modeling, domain-specific languages, language workbench, metamodeling, model transformations.

ACM Classification Keywords: D.2 Software Engineering: D.2.2 Design Tools and Techniques – Computer– aided software engineering (CASE); D.2.6 Programming Environments – Domain-specific architectures; Languages (e.g., description, interconnection, definition); D.2.13 Reusable Software – Domain engineering; Reuse models.

Link:

BUSINESS PROCESSES MODELLING WITH DSM PLATFORM AT INTEGRATED SYSTEMS DEVELOPMENT

Anna Lubyagina, Lyudmila Lyadova, Alexander Sukhov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p07.pdf

AN AGENT-BASED CONCEPT FOR PROBLEM MANAGEMENT SYSTEMS TO ENHANCE RELIABILITY
By: Huiqiang Wang, Nasser Jazdi, Peter Goehner   (3227 reads)
Rating: (1.00/10)

Abstract: A defective component in an industrial automation system affects only a limited number of sub functions. However, the affected sub functions often lead to break down of the whole system. The goal of this paper is to propose an intelligent agents-based concept for a Problem Management System (IAPMS) to enhance the reliability of industrial automation systems by resolving not only the known problems but also the unknown problems. In this paper, six types of component agents represent all the necessary components of an industrial automation system and a coordination agent type orchestrates the coordination between the component agents. The component agents detect the defective component by using the existing diagnosis system. On one hand, the component agents and the coordination agent could solve the known problems by using the pre-set measures. On the other hand, since no measures for an unknown problem exist, the corresponding component agents negotiate with the coordination agent to keep the unaffected sub functions alive; hence the system can be further used.

Keywords: reliability, intelligent component agent, Problem Management System, unknown problems

ACM Classification Keywords: I.2 Artificial Intelligence – I.2.1 Applications and Expert Systems – Industrial automation

Link:

AN AGENT-BASED CONCEPT FOR PROBLEM MANAGEMENT SYSTEMS TO ENHANCE RELIABILITY

Huiqiang Wang, Nasser Jazdi, Peter Goehner

http://www.foibg.com/ijicp/vol01/ijicp01-04-p06.pdf

KNOWLEDGE MANAGEMENT TOOLSET ANALYSIS FOR LEARNING ORGANIZATIONS
By: Kateryna Solovyova, Andrey Danilov, Panasovska Yuliia, Kobri  (2926 reads)
Rating: (1.00/10)

Abstract: The modern society’s existence is inseparably linked with the development of information technologies. Today information plays a key role in the development of our society. As a result, science is beginning to move up to a more advanced stage of development - the noospheric one. The noospheric stage of scientific development involves the use of modern noospheric system approach and innovative methods and technologies based on knowledge. This work is based upon a noospheric system methodology (systemology) which allows to consider complex systems holistically, to take into account their essential (ontological) properties and relations, to solve the complicated ill-structured problems relying on knowledge. The application of the systemological classification analysis on the basis of the natural classification criteria allows to define and to simulate deep knowledge being adequate for any subject domain including the ill-structured ones; to consider the objects’ essential properties. Using of the knowledge-oriented system tools allows employees to build intellectual capital, will allow organizations and states to develop in a more efficient, competitive way and to form knowledge economy. Knowledge management tools are the most effective means of managing organizations to improve their competitiveness. Alongside the increasing number of Internet users, the enhancing of its availability, the effectiveness of social networking on the Internet in organizations rises, it is especially vital for employees training. The improvement of quality of social networks functioning on the Internet requires the adequacy of their domain, adaptability and useroriented interface. The paper has presented some results of studies on knowledge systematization in the subject domains "Social Networking on the Internet", "Competences" on the basis of systemological classification analysis that is directly relevant for the education field, the learning organizations creation, functional platform for further development of this direction.

Keywords: knowledge management, a learning organization, a social network on the Internet, a competence, knowledge-oriented technology, the Internet, systemological classification analysis, classification, a systemology model, education, noospheric stage of scientific development.

Link:

KNOWLEDGE MANAGEMENT TOOLSET ANALYSIS FOR LEARNING ORGANIZATIONS

Kateryna Solovyova, Andrey Danilov, Panasovska Yuliia, Kobrin Maksim

http://www.foibg.com/ijicp/vol01/ijicp01-04-p05.pdf

ONTOLOGY OF EDUCATIONAL STANDARDS
By: Oleksandr Stryzhak   (3426 reads)
Rating: (7.00/10)

Abstract: This article discusses the formation of educational standards. The method of forming the content of the educational process describes. The method is based on the ontological knowledge representation and ontological models describing different categories of educational process. Is an example of the formation of educational and vocational programs educational qualification level, the allocation of appropriate skills competencies, creating curricula based on application of an ontological description of subject knowledge.

Keywords: ontology, knowledge systems, educational programs, ontograph.

ACM Classification Keywords: G.2 Discrete Mathematics – G.2.2 Graph Theory – Trees; I.2 Artificial Intelligence - I.2.4 Knowledge Representation Formalisms and Methods; K.3 Computers And Education – K.3.2 Computer and Information Science Education

Link:

ONTOLOGY OF EDUCATIONAL STANDARDS

Oleksandr Stryzhak

http://www.foibg.com/ijicp/vol01/ijicp01-04-p04.pdf

FACIAL EXPRESSIONS ANALYSIS BASED ON A COMPUTER VISION ALGORITHMS
By: Iurii Krak, Anton Ternov, Vladislav Kuznetsov  (3201 reads)
Rating: (1.00/10)

Abstract: In this paper a variety of computer vision algorithms in a context of their application to the problem of study of facial expressions were analyzed. Performance characteristics of computer vision algorithms for tracking markers which were attached to the face in ideal and real conditions were obtained. A list of algorithms’ faults that occurred during experiments was given, and ways to reduce an impact of various factors that influenced the experiments were suggested. The results of experiments were used to model facial expressions on a face of a virtual model of a human head.

Keywords: facial expression, computer vision, reference points.

Link:

FACIAL EXPRESSIONS ANALYSIS BASED ON A COMPUTER VISION ALGORITHMS

Iurii Krak, Anton Ternov, Vladislav Kuznetsov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p03.pdf

LANGUAGE IDENTIFICATION AND DATING OF THE GREAT PRESLAV INSCRIPTION BASED ...
By: Jordan Tabov, Tzvetan Pavlov  (5904 reads)
Rating: (1.00/10)

Abstract: The Great inscription from Preslav has been cut into the granite column, which has been found during excavations in the city of Preslav. It is considered that it contains words of military nature, and numbers written with Greek letters, and is looked at as a part of inscriptions from northeast Bulgaria, called military inventory inscriptions. In modern science dominates the view that these inscriptions have been left from the 'early Bulgarians', settled in Dobrudzha that went to the south cost of Danube with the ruling dynasty of Isperih. Through comparison between the letter (sound) frequencies in the text in the Great inscription from Preslav with the frequencies of the letters of the names (personal - of rulers, clans and calendar names) in the Nominalia of the Bulgarian rulers, we can deduct, that it is very likely that the language of the Big inscription from Preslav is different from the language of the people ruled by Isperih. This point is towards the unbiased search for landmarks for attribution and dating of the Preslav inscription in broader chronological terms. Additional considerations give us the basis for a hypothesis, that the Great Preslav Inscription is an artifact created during the XV century.

Keywords: inscription from Preslav, frequencies of the letters, dating

ACM Classification Keywords: I.6 Simulation and Modeling, I.6.3 Applications

Link:

LANGUAGE IDENTIFICATION AND DATING OF THE GREAT PRESLAV INSCRIPTION BASED ON LETTER FREQUENCY

Jordan Tabov, Tzvetan Pavlov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p02.pdf

MULTI-LAYER KNOWLEDGE REPRESENTATION
By: Krassimira Ivanova  (3805 reads)
Rating: (1.00/10)

Abstract: An approach for knowledge representation based on post-relation type of information bases is outlined in the paper. Explanation starts with remembering the idea of Natural Language Addressing. After that, the idea of Multi-layer Knowledge Representation by Means of Natural Language Addressing is presented.

Keywords: Multi-layer Knowledge Representation; Natural Language Addressing

ACM Keywords: I.2.4 Knowledge Representation Formalisms and Methods

Link:

MULTI-LAYER KNOWLEDGE REPRESENTATION

Krassimira Ivanova

http://www.foibg.com/ijicp/vol01/ijicp01-04-p01.pdf

Taxonomyzation of Natural Language Texts
By: Vitaly Prihodnyuk  (4041 reads)
Rating: (1.00/10)

Abstract: An approach for forming taxonomies based on semantic analysis of text arrays is presented in this paper. The algorithm and the main stages of its work are described. The specification of input and output data is defined as lambda calculus terms without types. Auxiliary algorithms for detecting different types (in particular, geographic) information are outlined. The evaluation of the effectiveness of the proposed algorithm, obtained by computational experiments, is given.

Keywords: Taxonomy, Hyper-relation, Structuring, Knowledge Engineering

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms and Methods, H. Information Systems

Link:

Taxonomyzation of Natural Language Texts

Vitaly Prihodnyuk

http://www.foibg.com/ijima//vol05/ijima05-03-p07.pdf

Review of some problems on the complexity of simultaneous divisibility of linear
By: Nikolay K. Kosovskii, Mikhail Starchak  (3201 reads)
Rating: (1.00/10)

Abstract: An introduction to the problems considering complexity of simultaneous divisibilities of values of linear polynomials is presented. Some history facts, recent results and open questions that stimulate further research are discussed.

Keywords: NP-completeness, existential Presburger arithmetic with divisibility, systems of divisibilities of values of linear polynomials, quadratic diophantine equations

ACM Classification Keywords: F.1.3 Complexity Measures and Classes, Reducibility and completeness; F.2.1 Analysis of Algorithms and Problem Complexity, Numerical Algorithms and Problems, Numbertheoretic computations

Link:

Review of some problems on the complexity of simultaneous divisibility of linear polynomials

Nikolay K. Kosovskii, Mikhail Starchak

http://www.foibg.com/ijima//vol05/ijima05-03-p06.pdf

PARTIAL DEDUCTION IN PREDICATE CALCULUS AS A TOOL FOR ARTIFICIAL INTELLIGENCE...
By: Tatiana M. Kosovskaya  (2931 reads)
Rating: (1.00/10)

Abstract: Many artificial intelligence problems are NP-complete ones. To decrease the needed time of such a problem solving a method of extraction of sub-formulas characterizing the common features of objects under consideration is suggested. This method is based on the offered by the author notion of partial deduction. Repeated application of this procedure allows to form a level description of an object and of classes of objects. A model example of such a level description and the degree of steps number increasing is presented in the paper.

Keywords: Artificial Intelligence, pattern recognition, predicate calculus, level description of a class

Link:

PARTIAL DEDUCTION IN PREDICATE CALCULUS AS A TOOL FOR ARTIFICIAL INTELLIGENCE PROBLEM COMPLEXITY DECREASING

Tatiana M. Kosovskaya

http://www.foibg.com/ijima//vol05/ijima05-03-p05.pdf

PROTECTION OF COMPUTER INFORMATION SYSTEMS OF AGRICULTURAL ENTERPRISES
By: Valentyn Nekhai, Igor Skiter, Еlena Trunova   (3401 reads)
Rating: (1.00/10)

Abstract: The article deals with some modern methods and technologies used in solving problems of information support of the effective management of the agricultural enterprise. It contains the principles of construction systems of information protection in computer information systems of agricultural enterprises.

Key words: information technology, information support, information systems, protection of information, policy of information safety, information protection system.

ACM Classification Keywords: K.6.5 Management of computing and information systems - Security and Protection.

Link:

PROTECTION OF COMPUTER INFORMATION SYSTEMS OF AGRICULTURAL ENTERPRISES

Valentyn Nekhai, Igor Skiter, Еlena Trunova

http://www.foibg.com/ijima//vol05/ijima05-03-p04.pdf

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