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A FORMAL REPRESENTATION OF CONCEPT COMPOSITION
By: Daniel Schulzek, Christian Horn, Tanja Osswald
(3098 reads)
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Abstract: This paper centers on argument saturation in relational-noun compounds. We argue that these
compounds can be analyzed in terms of conceptual types, as introduced by Löbner 1985, to appear. He
distinguishes between sortal, individual, functional, and proper relational concepts. To describe argument
saturation in compounding, we use frames in the sense of Barsalou 1992 since frames give a decompositional
account of concepts and in particular reflect the conceptual types in their structure. Subsequently, we investigate
relational-noun compounds in German as derived from their conceptual types. That is, we analyze in how far the
conceptual types of the compound constituents determine the concept type of the compound as a whole. For
possessive constructions, Löbner, to appear argues that a construction with a functional head inherits the type
of the modifier. We demonstrate that for constructions with a relational head the case is less straightforward: the
construction inherits the relational dimension of the modifier and the non-uniqueness from the head noun.
However, we show that the combinations for compounds can follow complex compositional rules.
Keywords: word formation, frames, compounds, lexical semantics
ACM Classification Keywords: A.0 General Literature - Conference proceedings Languages, Theory
Link:
A FORMAL REPRESENTATION OF CONCEPT COMPOSITION
Daniel Schulzek, Christian Horn, Tanja Osswald
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p05.pdf
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COGNITIVE MODEL OF TIME AND ANALYSIS OF NATURAL LANGUAGE TEXTS
By: Xenia A. Naidenova, Marina I. Garina
(3132 reads)
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Abstract: The extension to new languages is a well known bottleneck for any text analyzing system. In this
paper, a cognitive model of time is proposed and the questions of extracting events and their time characteristics
from texts are discussed. The cognitive model of time due to its independence of concrete natural language can
be considered as a basis for constructing text mining systems intended for extracting temporary relations.
Keywords: Natural Language Processing, cognitive model, time model.
ACM Classification Keywords: I.2.7. Computing Methodologies - Artificial intelligence - Natural Language
Processing
Link:
COGNITIVE MODEL OF TIME AND ANALYSIS OF NATURAL LANGUAGE TEXTS
Xenia A. Naidenova, Marina I. Garina
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p04.pdf
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CONTEXT-BASED MODELLING OF SPECIALIZED KNOWLEDGE
By: Pilar León Araúz, Arianne Reimerink, Alejandro G. Aragón
(2937 reads)
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Abstract: EcoLexicon? is a terminological knowledge base (TKB) on the environment where different types of
information converge in a multimodal interface: semantic networks, definitions, contexts and images. It seeks to
meet both cognitive and communicative needs of different users, such as translators, technical writers or even
environmental experts. According to Meyer et al. 1992, TKBs should reflect conceptual structures in a similar
way to how concepts relate in the human mind. From a neurological perspective, Barsalou 2009: 1283 states
that a concept produces a wide variety of situated conceptualizations in specific contexts, which clearly
determines the type and number of concepts to be related to. The organization of semantic information in the
brain should thus underlie any theoretical assumption concerning the retrieval and acquisition of specialized
knowledge concepts as well as the design of specialized knowledge resources Faber, 2010. Furthermore, since
categorization itself is a dynamic context-dependent process, the representation and acquisition of specialized
knowledge should certainly focus on contextual variation. Context includes external factors (situational and
cultural) as well as internal cognitive factors, all of which can influence one another House, 2006: 342. This view
goes hand in hand with the perception of language as a kind of action, where the meaning of linguistic forms is
understood as a function of their use Reimerink et al., 2010. In this paper we briefly describe each module of our
resource and explain how EcoLexicon? has been contextualized according to conceptual and terminological
information. The conceptual contextualization of different entries in EcoLexicon? has been performed according to
role-based domains and contextual domains, whereas terminological contextualization is based on contextual
domains and use situations. In this way, context is two-fold, since we account for the referential context of
concepts in the real world and users’ own communicative and cognitive context.
Keywords: context, dynamism, reconceptualization, environmental knowledge, TKB.
ACM Classification Keywords: H.5.2 User interfaces – Natural language
Link:
CONTEXT-BASED MODELLING OF SPECIALIZED KNOWLEDGE1
Pilar León Araúz, Arianne Reimerink, Alejandro G. Aragón
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p03.pdf
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CONCEPTUAL MODELING IN SPECIALIZED KNOWLEDGE RESOURCES
By: Pamela Faber, Antonio San Martín
(2934 reads)
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Abstract: Conceptual modeling is the activity of formally describing aspects of the physical and social world
around us for purposes of understanding and communication. The conceptual modeler thus has to determine
what aspects of the real world to include, and exclude, from the model, and at what level of detail to model each
aspect Kotiadis and Robinson, 2008. The way that this is done depends on the needs of the potential users or
stakeholders, the domain to be modeled, and the objectives to be achieved. A principled set of conceptual
modeling techniques are thus a vital necessity in the elaboration of resources that facilitate knowledge acquisition
and understanding.
In this respect, the design and creation of terminological databases for a specialized knowledge domain is
extremely complex since, ideally, the data should be interconnected in a semantic network by means of an
explicit set of semantic relations. Nevertheless, despite the acknowledged importance of conceptual organization
in terminological resources Puuronen, 1995, Meyer et al., 1997, Pozzi, 1999, Pilke, 2001, conceptual
organization does not appear to have an important role in their design. It is a fact that astonishingly few
specialized knowledge resources available on Internet contain information regarding the location of concepts in
larger knowledge configurations Faber et al., 2006.
Such knowledge resources do not take into account the dynamic nature of categorization, concept storage and
retrieval, and cognitive processing Louwerse and Jeuniaux, 2010, Aziz-Zadeh and Damasio, 2008, Patterson
et al., 2007, Gallese and Lakoff, 2005. Recent theories of cognition reflect the assumption that cognition is
typically grounded in multiple ways, e.g. simulations, situated action, and even bodily states. This means that a
specialized knowledge resource that facilitates knowledge acquisition should thus provide conceptual contexts or
situations in which a concept is conceived as part of a process or event. Since knowledge acquisition and
understanding requires simulation, this signifies that horizontal relations defining goal, purpose, affordance, and
result of the manipulation and use of an object are just as important, if not more so, than vertical generic-specific
and part-whole relations.
Within the context of recent theories of cognition, this paper examines the frame-based conceptual modeling
principles underlying EcoLexicon?, a multilingual knowledge base of environmental concepts
(http://ecolexicon.ugr.es/) Faber et al., 2005, 2006, 2007.
Keywords: conceptual modeling, terminological knowledge base, cognition, specialized knowledge
representation
ACM Classification Keywords: J.5 Arts and Humanities – Linguistics
Link:
CONCEPTUAL MODELING IN SPECIALIZED KNOWLEDGE RESOURCES
Pamela Faber, Antonio San Martín
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p02.pdf
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FREQUENCY EFFECTS ON THE EMERGENCE OF POLYSEMY AND HOMOPHONY
By: Gertraud Fenk-Oczlon, August Fenk
(3117 reads)
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Abstract: In this paper we try to answer the following questions: Why do frequently used words tend to polysemy
and homophony? And what comes first - frequency or the higher number of meanings per word? We shall stress
the key role of frequency in the emergence of polysemy and assume an interactive step-up initiated by frequency:
High frequency not only favors reduction processes of words or the bleaching of meanings that can result in
polysemy; it also plays a crucial role in the creation of metaphors or metonymies, i.e., the main sources of
polysemy. Only familiar or frequent source words/concepts tend to be used in metaphorical or metonymical
expressions. Through the conventionalization of the metaphors and metonymies, the source words get additional
meanings. They now can be used in a higher number of contexts what in turn favors a more frequent use.
A similar explanation might hold for the development of homophony: Shorter words are known for their tendency
to homophony Jespersen, 1933 and high token frequency. Our explanation: High frequency favors
backgrounding processes, such as vowel reduction, lenition and deletion of consonants or even of syllables. This
frequency-induced shortening of words often results in sound merger and in a relatively high proportion of
homophonous words, i.e., words encoding unrelated meanings.
Keywords: frequency, polysemy, homophony, metaphor, metonymy
Link:
FREQUENCY EFFECTS ON THE EMERGENCE OF POLYSEMY AND HOMOPHONY
Gertraud Fenk-Oczlon?, August Fenk
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p01.pdf
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RESEARCH PORTAL “REGIONS’ INNOVATIVE DEVELOPMENT”
By: Lyudmila Lyadova, Zhanna Mingaleva, Natalia Frolova
(3271 reads)
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Abstract: This paper presents a project, aimed to create an information analytic system to solve the problem of
organizing collective work of researchers, supporting their efficient cooperation on one of the topical problems in
the sphere of economy – the problem of region’s innovative development. The project supposes a creation of a
portal that provides possibilities of publication, search, analysis and cataloging data on stated subject matter, as
well as information exchange. In the system there should be presented not only publications, received from
different sources, but also work results of the researchers, participating in the project, particularly, suggested
models of innovative development of enterprises, economic sectors, regions, quantitative and qualitative
assessment of their innovational development level in conditions of, on the one part, integration and on the other
– intensification of competition. Special attention in the project is paid to the usage of up-to-date information
technologies in conducting researches. The software of the portal includes means of information search in
different sources, analytic processing of the information in accordance to developed methods. Access to the
portal will be provided for users of different categories (scientists, lecturers, students, specialists in public
authorities). The first stage is a creation of a research prototype of the system. Initial filling is expected to be
executed on the base of data, issued by project participants (particularly, method of complex assessment of
region’s innovative development, which is based on the economic and mathematical methods and models; model
of knowledge domain, built on the base of ontology and used for searching and analyzing papers and data; etc.).
Keywords: Innovations; Models of innovative development; Ontology; Intellectual search; Data analytic
processing; Web-technologies.
ACM Classification Keywords: H. Information Systems. H.3 Information storage and retrieval: H.3.5 Online
Information Services – Web-based services; H.3.6 Library Automation – Large text archives.
Link:
RESEARCH PORTAL “REGIONS’ INNOVATIVE DEVELOPMENT”
Lyudmila Lyadova, Zhanna Mingaleva, Natalia Frolova
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p09.pdf
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LARGE VLSI ARRAYS – POWER AND ARCHITECTURAL PERSPECTIVES
By: Adam Teman, Orly Yadid-Pecht and Alexander Fish
(2844 reads)
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Abstract: A novel approach to power reduction in VLSI arrays is proposed. This approach includes recognition of
the similarities in architectures and power profiles of different types of arrays, adaptation of methods developed
for one on others and component sharing when several arrays are embedded in the same system and mutually
operated. Two types of arrays are discussed: Image Sensor pixel arrays and SRAM bitcell arrays. For both types
of arrays, architectures and major sources of power consumption are presented and several examples of power
reduction techniques are discussed. Similarities between the architectures and power components of the two
types of arrays are displayed. A number of peripheral sharing techniques for systems employing both Image
Sensors and SRAM arrays are proposed and discussed. Finally, a practical example of a smart image sensor
with an embedded memory is given, using an Adaptive Bulk Biasing Control scheme. The peripheral sharing and
power saving techniques used in this system are discussed. This example was implemented in a standard 90nm
CMOS process and showed a 26% leakage reduction as compared to standard systems.
Keywords: VLSI Arrays, SRAM, Smart Image Sensors, Low Power, AB2C.
ACM Classification Keywords: B.3.1 Semiconductor Memories - SRAM, B.6 Logic Design – Memory Control
and Access, B.7 Integrated Circuits – VLSI, E.1 Data Structures – Arrays, I.4.1 Digitization and Image Capture
Link:
LARGE VLSI ARRAYS – POWER AND ARCHITECTURAL PERSPECTIVES
Adam Teman, Orly Yadid-Pecht? and Alexander Fish
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p08.pdf
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SELF-ASSEMBLY PROCESS FOR INTEGRATED CIRCUITS BASED ON CARBON NANOTUBES ...
By: David Moreno, Sandra Gómez, Paula Cordero
(2754 reads)
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Abstract: New methods are needed to create integrated circuits which are able to overcome the inherent
problems in the miniaturization process. These problems are mainly technological and economical;
photolithography is limited and the expensive building respectively. This paper proposes the basis for a new
manufacturing process of nanotechnological circuits based on semiconducting carbon nanotubes that work as
FET (Field Effect Transistor) and metallic carbon nanotubes that work as nanowires. This process is based on the
assembly of DNA tiles and lattices that guide the placement of carbon nanotubes to build electronic circuits. The
process takes place in a microfluidic device within its chambers. Building blocks are created based on NAND
logic gates. These building blocks are enabled to assemble AND, OR and NOT logic gates. The process of
assembling a XOR logic gate is explained, demonstrating how to apply the process in a concrete case.
Keywords: Carbon nanotubes, DNA lattice, FET, Microfluidic devices, Self-assembly process.
ACM Classification Keywords: B.7.1 Types and Design Styles – Advanced technologies
Link:
SELF-ASSEMBLY PROCESS FOR INTEGRATED CIRCUITS BASED ON CARBON
NANOTUBES USING MICROFLUIDIC DEVICES
David Moreno, Sandra Gómez, Paula Cordero
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p07.pdf
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VARIETIES OF BIOLOGICAL INFORMATION: A MOLECULAR RECOGNITION APPROACH TO ...
By: Jorge Navarro, Ángel Goñi-Moreno & Pedro C. Marijuán
(2760 reads)
Rating:
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Abstract: Bioinformatic and systems biology developments should be accompanied not only by a plethora of
computer tools, but also by an in-depth reflection on the distinctive nature of biological information. In this work
we attempt a consistent approach to the multiple varieties of information in the living cell by starting out from the
conceptualization of molecular recognition phenomena. Subsequently, an elementary approach to the
“informational architectures” behind cellular complexity may be chartered. In the interplay of the different
informational architectures two cellular subsystems should be highlighted: on the one side the transcriptional
regulatory network, and on the other, the cellular signaling system that is in charge of the interrelationship with
the environment. The embodiment of functional agents and the peculiar handling of DNA sequences along the
evolutionary process will suggest a parallel with the von Neumann scheme of modern computers, including the
cellular capability to “rewrite the DNA rules” along ontogenetic development.
Keywords: Molecular recognition, Informational architectures, DNA addresses, Transcriptional regulatory
network, Cellular signaling system, von Neumann scheme.
ACM Classification Keywords: D. Software. D.1 Programming Techniques
Link:
VARIETIES OF BIOLOGICAL INFORMATION: A MOLECULAR RECOGNITION
APPROACH TO SYSTEMS BIOLOGY AND BIOINFORMATICS
Jorge Navarro, Ángel Goñi-Moreno? & Pedro C. Marijuán
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p06.pdf
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PIGMENTED RAT-BASED VISION FOR ARTIFICIAL INTELLIGENCE APPLICATIONS
By: Francisco J. Cisneros de los Rios et al.
(2744 reads)
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Abstract: One of the most important objectives of artificial vision is the development of bioinspired and
biomimetic robot vision as well as the development of bionic eyes for the blind. Depending on the specific
application different eye models can be used but the most ambitious is the development of a human-like eye.
However, human eye is extremely complex and if we even design such a visual device the amount of information
to process should be computationally intractable. Normally low-resolution image quality and low visual acuity
would be sufficient for our purposes, so simpler biological models could represent excellent
computational alternatives. In the present communication we propose to use the visual system of the rat and we
justify our proposal by proving that this model fits perfectly the requirements of our applications.
Link:
PIGMENTED RAT-BASED VISION FOR ARTIFICIAL INTELLIGENCE APPLICATIONS
Francisco J. Cisneros de los Rios , Isabel Martín Moreno-Cid? , Abel SanchezJimenez?
, Juan Castellanos, Fivos Panetsos
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p05.pdf
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LINEAR PROGRAM FORM FOR RAY DIFFERENT DISCRETE TOMOGRAPHY
By: Hasmik Sahakyan, Levon Aslanyan
(3036 reads)
Rating:
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Abstract: A special quality of discrete tomography problem solutions that requires the ray difference is
considered. Two classes of reconstruction tasks of (0,1)-matrices with different rows are studied: matrices with
prescribed column and row sums and matrices with prescribed column sums only. Both cases are known as
algorithmically open problems. We reformulate them as integer programming problems. Depending on
parameters obtained, the Lagrangean relaxation model and then variable splitting technique, or a greedy
heuristics approaches are applied for getting approximate solutions. In later case an optimization version is
considered, where the objective is to maximize the number of pair-wise different row rays, which in case of
existence of a matrix, is equivalent to the requirement of row differences.
Keywords: discrete tomography, (0,1)-matrices, integer programming
ACM Classification Keywords: F.2.2 Nonnumerical Algorithms and Problems: Computations on discrete
structures
Link:
LINEAR PROGRAM FORM FOR RAY DIFFERENT DISCRETE TOMOGRAPHY
Hasmik Sahakyan, Levon Aslanyan
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p04.pdf
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MEMBRANE COMPUTING: NON DETERMINISTIC TECHNIQUE TO CALCULATE EXTINGUISHED ...
By: Alberto Arteta, Angel Castellanos, Ana Martinez
(3164 reads)
Rating:
(1.00/10)
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Abstract: Within the membrane computing research field, there are many papers about software simulations and
a few about hardware implementations. In both cases, algorithms are implemented. These algorithms implement
membrane systems in software and hardware that try to take advantages of massive parallelism. P-systems are
parallel and non deterministic systems which simulate membranes behavior when processing information.
This papers describes the evolution rules application process and it presents software techniques for calculating
maximal multisets on every evolutionary step.
These techniques improve the best performance achieved by the p-systems when applying evolution rules.
Algorithms could stop being useful when the number of objects “n” in which they depends on, increases. By using
this technique, that specific problem can be overcome. The output can be given under a constant complexity
order. The complexity order might be constant under certain conditions, regardless the value “n”. In order to do
this, the proper use of memory is essential. This work will provide the details for building a structure. This
structure will allow us to improve performance in terms of time. Moreover this structure can be allocated in the
random access memory and/or the virtual memory
Keywords: P-systems, Parallel systems, Natural Computing, evolution rules application, set of patterns,
structure.
ACM Classification Keywords: D.1.m Miscellaneous – Natural Computing
Link:
MEMBRANE COMPUTING: NON DETERMINISTIC TECHNIQUE TO CALCULATE
EXTINGUISHED MULTISETS OF OBJECTS.
Alberto Arteta, Angel Castellanos, Ana Martinez
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p03.pdf
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IMPLEMENTING TRANSITION P SYSTEMS
By: Santiago Alonso, Luis Fernández, Víctor Martínez
(2835 reads)
Rating:
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Abstract: Natural computing is a whole area where biological processes are simulated to get their advantages for
designing new computation models. Among all the different fields that are being developed, membrane
computing and, more specifically, P Systems, try to get the most out of the biological cell characteristics and of
the chemical processes that take place inside them to model a new computation system.
There have been great advances in this field, and there have been developed a lot of works that improved the
original one, developing new ideas to get the most of the different algorithms and architectures that could be used
for this new model. One of the most difficult areas is the actual implementation of these systems. There are some
works that try to implement P Systems by software simulations and there are some more that design systems that
implement them by using computer networks or specific hardaware like microcontrollers. All these
implementations demonstrate their validity but many of them had the lack of some main characteristics for P
Systems.
As continuation for some earlier published works, present work pretends to be the exposition of the design for a
complete new hardware circuit that may be used to develop a P System for general purpose, complying with the
two main characteristics that we consider more important: a high level of parallelism (which does these systems
specially indicated to solve NP problems) and the fact that they should be non deterministic.
Keywords: Transition P System, membrane computing, circuit design.
ACM Classification Keywords: D.1.m Miscellaneous – Natural Computing
Link:
IMPLEMENTING TRANSITION P SYSTEMS
Santiago Alonso, Luis Fernández, Víctor Martínez
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p02.pdf
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IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES
By: Juan Alberto de Frutos et al.
(3250 reads)
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Abstract: Membrane systems are models of computation which are inspired by some basic features of biological
membranes. Transition P systems are very simple models. Many hardware and software architectures have been
proposed for implementing them. In particular, there are implementations in cluster of processors, in
microcontrollers and in specialized hardware. This work proposes an analysis of the P system in order to be able
to reduce the execution time of a given evolution step.
We present a solution for improving the time of working out the active rules subset of a membrane. This task is
critical for the entire evolution process efficiency because it is performed inside each membrane in every
evolution step. Therefore, we propose to carry out a static analysis over the P system. The collected information
is used for obtaining a decision tree for each membrane. During the execution time of the P system, active rules
of a membrane will be determined as a result of a classification problem from the corresponding decision tree. By
incorporating decision trees for this task, we will notice some improvements.
Keywords: Decision Tree, ID3, Active Rules, Transition P System
ACM Classification Keywords: I.2.6 Learning – Decision Tree; D.1.m Miscellaneous – Natural Computing
Link:
IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM
COMMUNICATION ARCHITECTURES
Juan Alberto de Frutos, Luis Fernández, Carmen Luengo, Alberto Arteta
http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p01.pdf
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DEVELOPMENT AND ANALYSIS OF THE PARALLEL ANT COLONY OPTIMIZATION ALGORITHM ...
By: Leonid Hulianytskyi, Vitalina Rudyk
(2634 reads)
Rating:
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Abstract: Parallel ant colony optimization algorithm for solving protein tertiary structure prediction problem given
its amino acid sequence is introduced. The efficiency of developed algorithm is studied and the results of
computational experiment on the SCIT supercomputer clusters are discussed.
Keywords: combinatorial optimization, protein tertiary structure prediction, ant colony optimization, parallel
algorithms, SCIT supercomputer.
Link:
DEVELOPMENT AND ANALYSIS OF THE
PARALLEL ANT COLONY OPTIMIZATION ALGORITHM
FOR SOLVING THE PROTEIN TERTIARY STRUCTURE PREDICTION PROBLEM
Leonid Hulianytskyi, Vitalina Rudyk
http://www.foibg.com/ijita/vol21/ijita21-04-p09.pdf
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PHYSICAL PHENOMENON OF STATISTICAL STABILITY
By: Igor Gorban
(3567 reads)
Rating:
(1.00/10)
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Abstract: The article presents new monograph dedicated to the researching of physical phenomenon of
statistical stability and exposure of basics of physical-mathematical theory of hyper-random phenomena, the latter
describing physical events, variables and processes with consideration of violation of statistical stability. In
contrast to two previous author’s monograph devoted to the same subject in which the main attention was paid to
the mathematical aspects of the theory of hyper-random phenomena, in the new book the accent is made on
physical headwords. The book is oriented on scientists, engineers, and post-graduate students researching in
statistical laws of natural physical phenomena as well as developing and using statistical methods for highprecision
measuring, prediction and signal processing on long observation intervals. It may also be useful for
high-level courses for university students majoring in physical, engineering, and mathematical fields.
Keywords: phenomenon of statistical stability, theory of hyper-random phenomena, physical process, violation of
convergence.
ACM Classification Keywords: G.3 Probability and Statistics
Link:
PHYSICAL PHENOMENON OF STATISTICAL STABILITY
Igor Gorban
http://www.foibg.com/ijita/vol21/ijita21-04-p08.pdf
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AN ALGORITHM FOR FACTORING COMPOSITE POLYNOMIAL P(x p − x − δ)
By: Sergey Abrahamyan, Knarik Kyuregyan
(2755 reads)
Rating:
(1.00/10)
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Abstract: Let P(x) = x
n + an−1x
n−1 + · · · + a1x + a0 be an irreducible polynomial over Fq. In Cao, 2012,
Varshamov, 1973, Lidl, 1987 the factorization of the composite polynomial P(x
p − ax − δ), when a = 1
and T rFq/Fp
(nb − an−1) = 0 is considered. The result of factorization of polynomial P(x
p − x − δ) is a
p irreducible polynomials of degree n over Fq. In this paper we propose an algorithm for factoring composite
polynomial P(x
p − x − δ) over Fq and give a explicit view of each factor.
Keywords: finite field, polynomial factorization, polynomial composition
ACM Classification Keywords: I.1.2. Algorithms
Link:
AN ALGORITHM FOR FACTORING COMPOSITE POLYNOMIAL P(x
p − x − δ)
Sergey Abrahamyan, Knarik Kyuregyan
http://www.foibg.com/ijita/vol21/ijita21-04-p07.pdf
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WORDARM - A SYSTEM FOR STORING DICTIONARIES AND THESAURUSES BY ...
By: Krassimira Ivanova
(3041 reads)
Rating:
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Abstract: The main features of WordArM? system for storing dictionaries and thesauruses by means of Natural
Language Addressing are outlined in the paper. Experiments with WordArM? have shown that the NL-addressing
is suitable for dynamic processes of creating and further development of datasets due to avoiding recompilation
of the database index structures and high speed access to every data element.
Keywords: Natural Language Addressing
ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications
Link:
WORDARM - A SYSTEM FOR STORING DICTIONARIES AND THESAURUSES BY
NATURAL LANGUAGE ADDRESSING
Krassimira Ivanova
http://www.foibg.com/ijita/vol21/ijita21-04-p06.pdf
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UNIVERSAL AND DETERMINED CONSTRUCTORS OF MULTISETS OF OBJECTS
By: Dmytro Terletskyi
(3241 reads)
Rating:
(1.00/10)
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Abstract: This paper contains analysis of creation of sets and multisets as an approach for modeling of some
aspects of human thinking. The creation of sets is considered within constructive object-oriented version of set
theory (COOST), from different sides, in particular classical set theory, object-oriented programming (OOP) and
development of intelligent information systems (IIS). The main feature of COOST in contrast to other versions of
set theory is an opportunity to describe essences of objects more precisely, using their properties and methods,
which can be applied to them. That is why this version of set theory is object-oriented and close to OOP. Within
COOST, the author proposes universal constructor of multisets of objects that gives us a possibility to create
arbitrary multisets of objects. In addition, a few determined constructors of multisets of objects, which allow
creating multisets, using strictly defined schemas, also are proposed in the paper. Such constructors are very
useful in cases of very big cardinalities of multisets, because they give us an opportunity to calculate a multiplicity
of each object and cardinality of multiset before its creation. The proposed constructors of multisets of objects
allow us to model in a sense corresponding processes of human thought, that in turn give us an opportunity to
develop IIS, using these tools.
Keywords: constructive object-oriented set theory, class of objects, homogeneous class of objects,
inhomogeneous class of objects, set of objects, multiset of objects.
ACM Classification Keywords: I.2.0 General – Cognitive simulation, F.4.1 Mathematical Logic – Set theory,
D.1.5 Object-oriented Programming, D.3.3 Language Constructs and Features – Abstract data types, Classes
and objects, Data types and structures, E.2 Data Storage Representations – Object representation.
Link:
UNIVERSAL AND DETERMINED CONSTRUCTORS OF MULTISETS OF OBJECTS
Dmytro Terletskyi
http://www.foibg.com/ijita/vol21/ijita21-04-p05.pdf
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MICRORAM: A SIMULATION MODEL OF A COLONY OF BACTERIA EVOLVING INSIDE ...
By: Daniel Thai Dam, Rafael Lahoz-Beltra
(3370 reads)
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(1.00/10)
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Abstract: MICRORAM is a simulation model in which a colony of bacteria evolves inside an artificial world. The
model has the flavor of the classical models of the decades of the 80s and 90s in which artificial life was inspired
by microbiology. We show how a population of ‘bacterial’ agents is able to adapt to environmental changes and
survive to the attack from an external agent simulated with an ‘antibiotic’. The conclusion is that many ideas from
the 80s and 90s are still valid, and it is possible to design and simulate agents inspired by natural ‘bacterial
colonies’, with potential applications in bacterial and natural computing.
Keywords: artificial life worlds, agent based modeling, bacterial genetic algorithm, conjugation operator.
ACM Classification Keywords: I.6 Simulation and Modeling
Link:
MICRORAM: A SIMULATION MODEL OF A COLONY OF BACTERIA EVOLVING
INSIDE AN ARTIFICIAL WORLD
Daniel Thai Dam, Rafael Lahoz-Beltra?
http://www.foibg.com/ijita/vol21/ijita21-04-p04.pdf
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SOFTWARE EFFORT ESTIMATION USING RADIAL BASIS FUNCTION NEURAL NETWORKS
By: Ana Maria Bautista, Angel Castellanos, Tomas San Feliu
(3039 reads)
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Abstract: One of the biggest challenges that software developers face is to make an accurate estimate of the
project effort. Radial basis function neural networks have been used to software effort estimation in this work
using NASA dataset. This paper evaluates and compares radial basis function versus a regression model. The
results show that radial basis function neural network have obtained less Mean Square Error than the regression
method.
Keywords: software effort estimation, software repositories, radial basis function and artificial neural networks.
ACM Classification Keywords: I.2.6 Artificial Intelligence – Connectionism and neural nets, H.2.7 Database
Administration – Data Ware house and repository.
Link:
SOFTWARE EFFORT ESTIMATION USING RADIAL BASIS FUNCTION NEURAL
NETWORKS
Ana Maria Bautista, Angel Castellanos, Tomas San Feliu
http://www.foibg.com/ijita/vol21/ijita21-04-p03.pdf
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A HIERARCHICAL APPROACH TO MULTICRITERIA PROBLEMS
By: Albert Voronin, Yuriy Ziatdinov, Igor Varlamov
(2639 reads)
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Abstract: It is shown, that any multicriteria problem can be represented by a hierarchical system of criteria.
Individual properties of the object (alternative) are evaluated at the bottom level of the system, using a criteria
vector; and a composition mechanism is used to evaluate the object as a whole at the top level. The problem is
solved by the method of nested scalar convolutions of vector-valued criteria. The methodology of the problem
solving is based on the complementarity principle by N. Bohr and the theorem of incompleteness by K. Gödel.
Keywords: hierarchical structure, nested scalar convolutions, multicriteria approach, decomposition; composition
Link:
A HIERARCHICAL APPROACH TO MULTICRITERIA PROBLEMS
Albert Voronin, Yuriy Ziatdinov, Igor Varlamov
http://www.foibg.com/ijita/vol21/ijita21-04-p02.pdf
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INTELLECTUAL INFORMATION SUPPORT OF BRANCH ENTERPRISE EXECUTIVES’ DECISION MAKIN
By: Aleksey Voloshyn, Bogdan Mysnyk, Vitaliy Snytyuk
(3005 reads)
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(1.00/10)
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Abstract: The optimization problem of functioning of the producing similar products enterprise is considered. For
its solution proposed multiagent technology, the use of which will make informed decisions about the expansion
of production, reduction, and so branching. Models of the enterprise functioning in a competitive environment are
constructed.
Keywords: enterprise, interaction, models, multiagent technology.
ACM Classification Keywords: I.2.11 Distributed Artificial Intelligence – Multiagent Systems.
Link:
INTELLECTUAL INFORMATION SUPPORT OF BRANCH ENTERPRISE
EXECUTIVES’ DECISION MAKING PROCESSES
Aleksey Voloshyn, Bogdan Mysnyk, Vitaliy Snytyuk
http://www.foibg.com/ijita/vol21/ijita21-04-p01.pdf
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МЕТОДИКА ИСПОЛЬЗОВАНИЯ СРЕДСТВ СТРУКТУРИЗАЦИИ УЧЕБНОГО МАТЕРИАЛА
By: Сулима Е.Н., Миленин В.М
(3280 reads)
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Аннотация. Описываются средства структуризации информационных массивов на основе
использования растущих пирамидальных сетей. Приводятся примеры обработки информации на
сайте ОСТРОВ ЗНАНИЙ.
Ключевые слова: структуризация естественно-языкового текста, представление и обработка
знаний.
ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms
and Methods, K.3 COMPUTERS AND EDUCATION - K.3.1 Computer Uses in Education
Link:
МЕТОДИКА ИСПОЛЬЗОВАНИЯ СРЕДСТВ
СТРУКТУРИЗАЦИИ УЧЕБНОГО МАТЕРИАЛА
Сулима Е.Н., Миленин В.М
http://www.foibg.com/ijita/vol17/ijita17-4-p09.pdf
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CONCEPTUAL KNOWLEDGE MODELING ON THE BASIS OF NATURAL CLASSIFICATION
By: Mikhail Bondarenko, Kateryna Solovyova, Andrey Danilov
(3199 reads)
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Abstract: It is difficult to exaggerate the importance, the urgency and complexity of “good” classifications
creation, especially in knowledge management, artificial intelligence, decision making. To what extend it is
possible within a short paper, the peculiarities and advantages of the new system method of the systemological
classification analysis for the classifications of concepts creation were discussed. It is noted that the applying of
the natural classification criteria improves considerably the quality and the power of the classification knowledge
models and ontologies, allows taking into account the deep knowledge of any, including ill-structured, domains. In
the process of the research conduction the system models of the domain fragment of the ontologies on the basis
of the parametric classification were created. Some results of the actual domain “Social Networks in Internet”
analysis and modelling and the ontology fragments, realized in the ontologies engineering tool Protégé 3.2, are
also considered. The systemological classification analysis application has allowed proving the obtained
classifications of social networks functions, taking into account the objects essential properties. It has also
successfully recommended itself for deep knowledge acquisition; the basic hierarchy of classes, “good”
classifications and ontologies creation; possesses predictive power, simple logically relevant structure, ensures
the possibility of the correct inference on knowledge.
Keywords: conceptual knowledge, knowledge systematization, natural classification, ontology, systemological
classification analysis, social network, hierarchy, systemology, artificial intelligence.
ACM Classification Keywords: 1.2 Artificial Intelligence – 1.2.6 Learning: Knowledge Acquisition
Link:
CONCEPTUAL KNOWLEDGE MODELING ON THE BASIS OF NATURAL
CLASSIFICATION
Mikhail Bondarenko, Kateryna Solovyova, Andrey Danilov
http://www.foibg.com/ijita/vol17/ijita17-4-p08.pdf
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