Abstract: questions of forming of learning sets for artificial neural networks in problems of lossless data compression are considered. Methods of construction and use of learning sets are studied. The way of forming of learning set during training an artificial neural network on the data stream is offered.

Keywords: neural network; modeling of data sources; learning set.

ACM Classification Keywords: C.1.3 Other Architecture Styles – Neural Nets. D.4.8 Performance – Modeling and predictions. E.4 Coding and Information Theory – Data compaction and compression.

Link:

FORMING OF LEARNING SET FOR NEURAL NETWORKS IN PROBLEMS OF LOSSLESS DATA COMPRESSION

Yuriy Ivaskiv, Victor Levchenko

http://www.foibg.com/ijita/vol15/ijita15-1-p04.pdf

Abstract: Grape juice composition during the different stages of berry growth was compared. The analytical data collected were used to investigate the relationships between some of the different components studied in these berries during the ripening period. Our goal is to study, with neural networks, the impact of water availability on Vitis vinifera L. cv. Tempranillo grape yields and juice composition over a three-year period.

Keywords: Clustering, Grapes, Neural networks, Organic acids, Sugars, Vitis vinifera.

ACM Classification Keywords: C.1. Processor Architectures , I.5.2 Design Methodology

Link:

APLICATIONS OF NEURAL NETWORKS TO FIND THE IMPACT OF WATER IN DIFFERENT BERRY COMPONENTS IN GRAPES

Angel Castellanos, Marita Esteban, Ana Martinez, Valentin Palencia

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p08.pdf

Abstract: The basic construction concepts of many-valued intellectual systems, which are adequate to primal problems of person activity and using hybrid tools with many-valued of coding are considered. The many-valued intellectual systems being two-place, but simulating neuron processes of space toting which are different on a level of actions, inertial and threshold of properties of neurons diaphragms, and also modification of frequency of following of the transmitted messages are created. All enumerated properties and functions in point of fact are essential not only are discrete on time, but also many-valued.

Keywords: intelligent system, hybrid logic, multiple-valued logic, multi-state element.

ACM Classification Keywords: C.0 Computer Systems Organization: System architectures

Link:

SYNTHESIS METHODS OF MULTIPLE-VALUED STRUCTURES OF LANGUAGE SYSTEMS

Mikhail Bondarenko, Grigorij Chetverikov, Alexandr Karpukhin, Svetlana Roshka, Zhanna Deyneko

http://www.foibg.com/ijita/vol12/ijita12-3-p07.pdf

Abstract: E-learning means learning via electronic means and is therefore an all-embracing term covering learning via an electronic device. The "expectations" and "realities" for each of the delivery mechanisms within the electronic arena vary greatly for not just the learners themselves, but also the site providers. Because of this, each of these learning systems has vastly different design principles, which is not always understood by those unfamiliar with technology. What is appropriate for a CD-ROM off-line system is generally inappropriate for an online internet system. So when designing an e-learning system it is important to understand how the information is to be accessed by the learner. This paper will identify and suggest some ways to avoid e-learning's pitfalls and reap its rewards.

Keywords: e-learning's, organization, computer literacy, evaluation, learning module.

ACM Classification Keywords: C. Computer systems organization, C.2 Computer communication networks, K.3.2 Learning

Link:

E-LEARNING

Khaled Batiha, Safwan Al Salaimeh

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-1-p14.pdf

Abstract. When designing specification on-board algorithm (the algorithm, realized on on-board digital computing machine, and algorithm to activity of the crew necessary to conduct the estimation their realizing. Presented computer system allows in interactive mode with user to value the temporary expenseses of the operator on processes decision making and their realizing, participations it in process of the spying.

Key words: the algorithms to activity of the crew, designing algorithm, realizing estimation.

ACM Classification Keywords: B.8.2 Performance Analysis and Design Aids; D.2.2 Computer-aided software engineering.

Link:

THE COMPUTER SYSTEM FOR THE ESTIMATION OF THE REALIZABILITY OF THE CREW ACTIVITY ALGORITHMS

Boris Fedunov, Denis Vidruk

http://www.foibg.com/ijita/vol14/ijita14-2-p14.pdf

Abstract: This paper briefly reviews CMOS image sensor technology and its utilization in security and medical applications. The role and future trends of image sensors in each of the applications are discussed. To provide the reader deeper understanding of the technology aspects the paper concentrates on the selected applications such as surveillance, biometrics, capsule endoscopy and artificial retina. The reasons for concentrating on these applications are due to their importance in our daily life and because they present leading-edge applications for imaging systems research and development. In addition, review of image sensors implementation in these applications allows the reader to investigate image sensor technology from the technical and from other views as well.

Keywords: CMOS image sensors, low-power, security applications, medical applications.

ACM Classification Keywords: B.8.1.i Hardware - Integrated Circuits - Types and Design Styles – VLSI

Link:

IMAGE SENSORS IN SECURITY AND MEDICAL APPLICATIONS

Evgeny Artyomov, Alexander Fish, Orly Yadid-Pecht?

http://www.foibg.com/ijita/vol14/ijita14-2-p02.pdf

Abstract: The operation of technical processes requires increasingly advanced supervision and fault diagnostics to improve reliability and safety. This paper gives an introduction to the field of fault detection and diagnostics and has short methods classification. Growth of complexity and functional importance of inertial navigation systems leads to high losses at the equipment refusals. The paper is devoted to the INS diagnostics system development, allowing identifying the cause of malfunction. The practical realization of this system concerns a software package, performing a set of multidimensional information analysis. The project consists of three parts: subsystem for analyzing, subsystem for data collection and universal interface for open architecture realization. For a diagnostics improving in small analyzing samples new approaches based on pattern recognition algorithms voting and taking into account correlations between target and input parameters will be applied. The system now is at the development stage.

Keywords: technical diagnostics, fault detection, inertial navigation system, navigation, aircraft units, supervision, monitoring, fault diagnostics, diagnostic reasoning

ACM Classification Keywords: B.8.1 Reliability, Testing, and Fault-Tolerance?; J.2 Computer Applications: Physical Sciences and Engineering: Aerospace

Link:

THE INFORMATION-ANALYTICAL SYSTEM FOR DIAGNOSTICS OF AIRCRAFT NAVIGATION UNITS

Ilya Prokoshev, Vyacheslav Suminov

http://www.foibg.com/ijita/vol13/ijita13-2-p04.pdf

Abstract: Growth of complexity and functional importance of integrated navigation systems (INS) leads to high losses at the equipment refusals. The paper is devoted to the INS diagnosis system development, allowing identifying the cause of malfunction. The proposed solutions permit taking into account any changes in sensors dynamic and accuracy characteristics by means of the appropriate error models coefficients. Under actual conditions of INS operation, the determination of current values of the sensor models and estimation filter parameters rely on identification procedures. The results of full-scale experiments are given, which corroborate the expediency of INS error models parametric identification in bench test process.

Keywords: fault detection, integrated navigation systems, state control, sensors, model of errors, parametric identification, supervision, monitoring, fault diagnosis, diagnostic reasoning

ACM Classification Keywords: B.8.1 Reliability, Testing, and Fault-Tolerance?; J.2 Computer Applications: Physical Sciences and Engineering: Aerospace

Link:

PARAMETRIC IDENTIFICATION AND DIAGNOSIS OF INTEGRATED NAVIGATION SYSTEMS IN BENCH TEST PROCESS

Ilya Prokoshev, Alexander Chernodarov

http://www.foibg.com/ijita/vol15/ijita15-3-p12.pdf

Abstract: This paper presents implementation of a low-power tracking CMOS image sensor based on biological models of attention. The presented imager allows tracking of up to N salient targets in the field of view. Employing "smart" image sensor architecture, where all image processing is implemented on the sensor focal plane, the proposed imager allows reduction of the amount of data transmitted from the sensor array to external processing units and thus provides real time operation. The imager operation and architecture are based on the models taken from biological systems, where data sensed by many millions of receptors should be transmitted and processed in real time. The imager architecture is optimized to achieve low-power dissipation both in acquisition and tracking modes of operation. The tracking concept is presented, the system architecture is shown and the circuits description is discussed.

Keywords: Low-power image sensors, image processing, tracking imager, models of attention, CMOS sensors

ACM Classification Keywords: B.7.0 Integrated circuits: General, I.4.8 Image processing and computer vision: scene analysis: tracking

Link:

LOW-POWER TRACKING IMAGE SENSOR BASED ON BIOLOGICAL MODELS OF ATTENTION

Alexander Fish, Liby Sudakov-Boreysha?, Orly Yadid-Pecht?

http://www.foibg.com/ijita/vol14/ijita14-2-p01.pdf

Abstract: Every high resolution imaging system suffers from the bottleneck problem. This problem relates to the huge amount of data transmission from the sensor array to a digital signal processing (DSP) and to bottleneck in performance, caused by the requirement to process a large amount of information in parallel. The same problem exists in biological vision systems, where the information, sensed by many millions of receptors should be transmitted and processed in real time. Models, describing the bottleneck problem solutions in biological systems fall in the field of visual attention. This paper presents the bottleneck problem existing in imagers used for real time salient target tracking and proposes a simple solution by employing models of attention, found in biological systems. The bottleneck problem in imaging systems is presented, the existing models of visual attention are discussed and the architecture of the proposed imager is shown.

Keywords: Bottleneck problem, image processing, tracking imager, models of attention

ACM Classification Keywords: B.7.0 Integrated circuits: General, I.4.8 Image processing and computer vision: scene analysis: tracking

Link:

BOTTLENECK PROBLEM SOLUTION USING BIOLOGICAL MODELS OF ATTENTION IN HIGH RESOLUTION TRACKING SENSORS

Alexander Fish, Orly Yadid-Pecht?

http://www.foibg.com/ijita/vol12/ijita12-1-p04.pdf

Abstract: A verification task of proving the equivalence of two descriptions of the same device is examined for the case, when one of the descriptions is partially defined. In this case, the verification task is reduced to checking out whether logical descriptions are equivalent on the domain of the incompletely defined one. Simulation-based approach to solving this task for different vector forms of description representations is proposed. Fast Boolean computations over Boolean and ternary vectors having big sizes underlie the offered methods. Keywords: design automation, verification, Boolean computations, simulation. ACM Classification Keywords: B.6.2 Logic Design: Reliability and Testing; G.4 Mathematical Software: Verification; I.6.8 Simulation and Modeling: Types of Simulation – Parallel

Link:

SIMULATION-BASED APPROACH TO VERIFICATION OF LOGICAL DESCRIPTIONS WITH FUNCTIONAL INDETERMINACY

Liudmila Cheremisinova, Dmitry Novikov

http://www.foibg.com/ijita/vol15/ijita15-3-p03.pdf

Abstract: Usually, generalization is considered as a function of learning from a set of examples. In present work on the basis of recent neural network assembly memory model (NNAMM), a biologically plausible 'grandmother' model for vision, where each separate memory unit itself can generalize, has been proposed. For such a generalization by computation through memory, analytical formulae and numerical procedure are found to calculate exactly the perfectly learned memory unit's generalization ability. The model's memory has complex hierarchical structure, can be learned from one example by a one-step process, and may be considered as a semi-representational one. A simple binary neural network for bell-shaped tuning is described.

Keywords: generalization, 'grandmother' model for vision, neural network assembly memory model, one-step learning, learning from one example, neuron receptive field, bell-shaped tuning, semi-representation.

ACM Classification Keywords: Memory structures (B.3), associative memories; reliability, testing, and faulttolerance (B.8.1); learning (I.2.6), connectionism and neural nets; vision and scene understanding (I.2.10), representations, data structures, and transforms; image representation (I.4.10), hierarchical.

Link:

GENERALIZATION BY COMPUTATION THROUGH MEMORY

Petro Gopych

http://www.foibg.com/ijita/vol13/ijita13-2-p07.pdf

Abstract: The classification of types of information redundancy in symbolic and graphical forms representation of information is done. The general classification of compression technologies for graphical information is presented as well. The principles of design, tasks and variants for realizations of semantic compression technology of graphical information are suggested.

Keyword: semantics, abundance, compression, graphical information, decompression, classification, ontology.

ACM Classification Keywords: A.1. Introductory and Survey; I.2. Artificial Intelligence; I.2.7 Natural Language Processing - Text analysis;

Link:

COMPRESSION TECHNOLOGIES OF GRAPHIC INFORMATION

Nikolay Fesenko

http://www.foibg.com/ijita/vol14/ijita14-3-p08.pdf

Abstract: The basic structure of the General Information Theory (GIT) is presented in the paper. The main divisions of the GIT are outlined. Some new results are pointed.

Keywords: General Information Theory.

ACM Classification Keywords: A.1 Introductory and Survey

Link:

BASIC STRUCTURE OF THE GENERAL INFORMATION THEORY

Krassimir Markov, Krassimira Ivanova, Ilia Mitov

http://www.foibg.com/ijita/vol14/ijita14-1-p01.pdf

Abstract: The adequate attitude to the information models and information objects in the culture context is one of the main problems to be investigated on the threshold of information society. The goal of this paper is to outline some problems connected with the main styles of perceiving of the mental and artificially generated information models stored in the information objects and used in the processes of the Information Interaction or simply – in the Inforaction. The culture influence on inforaction is discussed.

Keywords: General Information Theory, Inforaction, Information Models, Artificial Information Models

ACM Keywords: A.1 Introductory and Survey

Link:

CULTURE ASPECTS OF INFORACTION

Krassimir Markov, Stoyan Poryazov, Krassimira Ivanova, Ilia Mitov, Vera Markova

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p06.pdf