Abstract: In this paper is described a method for automatic analysis of missing block neighbor area. The analysis, which is based on Canny edge detection and calculation of homogeneity coefficient in missing block neighbor area, provides suboptimal rectangular support area for each block. The suboptimal support area for each block is used in Selective Extrapolation algorithm. Paper includes experiment results of proposed method which are compared with results of selective extrapolation where the support area size is fixed for all blocks.

Keywords: Image processing, selective extrapolation, Canny edge detection, missing blocks concealment.

Link:

ON A MODIFICATION OF THE FREQUENCY SELECTIVE EXTRAPOLATION METHOD

Gevorg Karapetyan and Hakob Sarukhanyan

http://www.foibg.com/ijima/vol01/ijima01-2-p05.pdf

Abstract: In this paper, an algorithm for a fingerprint closed pore extraction is proposed. A closed pore is considered as a segment of binarized fingerprint image. Segment contains maximal information about a pore shape, orientation or other significant features. The proposed algorithm is based on the consecutive performance of some simple and well known image processing procedures, namely image binarization, segmentation, inversion, whitening etc. Segmentation is a process of splitting an image into non-overlapping partitions with connected pixels of the same intensity interval. After segmentation a pore is presented as a white segment in a black background. Inversion transforms the white pore segment into a black segment. Whitening is an operation to change pixels of the segment of certain size to pixels of intensity 255. This operation deletes black pores from the inverted image. Thus we can extract all the pores by comparing the intermediate images. The proposed algorithm consists of mentioned operations applied by appropriate choosing of thresholds. An example of application of described algorithm to show the effectiveness of our approach to the pore extraction problem is given.

Keywords: fingerprint, closed pores, segmentation, binarization, inversion.

ACM Classification Keywords: Image Processing and Computer Vision

Link:

SEGMENTATION BASED FINGERPRINT PORE EXTRACTION METHOD

David Asatryan, Grigor Sazhumyan

http://www.foibg.com/ijima/vol01/ijima01-2-p04.pdf

Abstract: In this paper, a methodology for reliable password generation from fingerprints is developed. In contrast to traditional biometric systems, proposed algorithm does not authenticate user by matching his or her biometrics. Reference data gives no information about the password and fingerprint. In hand with cryptography, this method can provide highly secure protection for cryptographic keys used in Digital Signatures and Digital Rights Management systems.

Keywords: Password Generation, Confidentiality, Authentication, Privacy, Security, Fingerprints, Image Processing, Pattern Recognition, Template Matching.

ACM Classification Keywords: D.4.6 Security and Protection (K.6.5)

Link:

CORRELATION-BASED PASSWORD GENERATION FROM FINGERPRINTS

Gurgen Khachatrian, Hovik Khasikyan

http://www.foibg.com/ijima/vol01/ijima01-2-p03.pdf

Abstract: The article is devoted to thorough study of a new regression method performance. The proposed method based on convex correcting procedures over sets of predictors is subject to modifications and tested in comparison with the acknowledged regression utility. The modifications touch both resource consumption and quality aspects of the method and tests are performed with sets of generated samples.

Keywords: forecasting, bias-variance decomposition, convex combinations, variables selection.

ACM Classification Keywords: G.3 Probability and Statistics - Correlation and regression analysis, Statistical computing.

Link:

ON SOME PROPERTIES OF REGRESSION MODELS BASED ON CORRELATION MAXIMIZATION OF CONVEX COMBINATIONS

Oleg Senko, Alexander Dokukin

http://www.foibg.com/ijima/vol01/ijima01-2-p02.pdf

Abstract: We consider the technique using nonsmooth optimization methods for pattern recognition problems. The results of numerical experiments of comparison of the proposed approach with support vector machines are presented.

Keywords: cluster, decision rule, discriminant function, linear and nonlinear programming, nonsmooth optimization

ACM Classification Keywords: G.1.6 Optimization - Gradient methods, I.5 Pattern Recognition; I.5.2 Design Methodology - Classifier design and evaluation

Link:

NON SMOOTH OPTIMIZATION METHODS IN THE PROBLEMS OF CONSTRUCTING A LINEAR CLASSIFIER

Yurii I. Zhuravlev, Yuryi Laptin, Alexander Vinogradov, Nikolay Zhurbenko, Aleksey Likhovid

http://www.foibg.com/ijima/vol01/ijima01-2-p01.pdf

Abstract: An analysis of distinctions between a mathematical notion of an algorithm and a program is presented in the paper. The notions of the number of steps and the run used memory size for a Pascal, Turbo Prolog, Visual Prolog or Refal-5 program run are introduced. For every of these programming languages a theorem setting conditions upon a function implementation for polynomial time effectiveness is presented. For a Turbo or Visual Prolog program It is proved that a polynomial number of steps is sufficient for its belonging to the class FP. But for a Pascal or Refal-5 program it is necessary that it additionally has a polynomially bounded run memory size.

Keywords: complexity theory, class FP, programming languages Pascal, Turbo Prolog, Visual Prolog and Refal- 5.

ACM Classification Keywords: F.2.m ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY Miscellaneous.

Link:

POLYNOMIAL-TIME EFFECTIVENESS OF PASCAL, TURBO PROLOG, VISUAL PROLOG AND REFAL-5 PROGRAMS

Nikolay Kosovskiy, Tatiana Kosovskaya

http://www.foibg.com/ijima/vol01/ijima01-1-p09.pdf

Abstract: The paper is devoted to the modifying of Maslov inverse method for a special form of predicate formulas used in the solution of artificial intelligence problems. An algorithm of the inverse method application for such type formulas is justified. Upper and lower bounds of the number of steps in such an application are obtain. Upper bounds coincide with those of other deduction algorithms, but the exhaustion is greatly reduced while construction particular derivation.

Keywords: artificial intelligence, pattern recognition, predicate calculus, inverse method of S.Yu.Maslov, complexity theory.

ACM Classification Keywords: I.2.4 ARTIFICIAL INTELLIGENCE Knowledge Representation Formalisms and Methods – Predicate logic, I.5.1 PATTERN RECOGNITION Models – Deterministic, F.2.2 Nonnumerical Algorithms and Problems – Complexity of proof procedures.

Link:

THE INVERSE METHOD FOR SOLVING ARTIFICIAL INTELLIGENCE PROBLEMS IN THE FRAMEWORKS OF LOGIC-OBJECTIVE APPROACH AND BOUNDS OF ITS NUMBER OF STEPS

Tatiana Kosovskaya, Nina Petukhova

http://www.foibg.com/ijima/vol01/ijima01-1-p08.pdf

Abstract: Most processes, found in medicine, are nonlinear, chaotic, have a high level of complexity. The decisions in health care are often stereotyped, managed by habits preferences, previous experience and official directives. These decisions might be not completely conscious. There are a lot of papers, devoted to modeling diagnostics or treatment conduction, but still behavior responses of medical practitioners were not studied, no universal comprehensive and effective model was created. Besides nonlinear nature of biomedical phenomena, pathologies, its chaotic expression, all the information process in medicine at each of its stages, including information perception by available diagnostic tools, analysis, decision making and implementation of therapeutic interventions, are complex, chaotic. We made attempts to integrate this process, bringing scheme into harmony. Each stage requires creation some mathematical model, that might be described by generalized equation. These equations can be substituted into one, that could be solved in closed system. We do not aim to find some absolute kind of decision, its statistically calculated optimal way of solution, but accent on a special mood, the state of expert, which could give a possibility to make only one correct decision with failure in input parameters. In such cases the lack of prior data is compensated by doctor’s experience.

Keywords: imaging, mathematical modeling, intervention, choise, error analysis, Monty Hall paradox, method of branches and boundaries.

ACM Classification Keywords: H. Information Systems: H.1 MODELS AND PRINCIPLES: H.1.0 General; G.1.0 Mathematics of Computing General Error analysis; G.2 DISCRETE MATHEMATICS: G.2.1 Combinatorics: Combinatorial algorithms; G.2.2 Graph Theory.

Link:

CHOICE OF DIAGNOSTIC DECISION MAKING IN MEDICINE AND INTERVENTION MISTAKE PREDICTION USING MATHEMATICAL MODELS

Ivan Melnyk, Rostyslav Bubnov

http://www.foibg.com/ijima/vol01/ijima01-1-p07.pdf

Abstract: Number of The grouping information problem in its two basic manifestations recovering function, represented by empirical data (observations) and problem of classification (clusterization) and conception of its solving by the standard recurrent procedures are proposed and discussed. It is turn out that in both case correspond procedures can be designed on the base of so called neurofunctional transformations (NfT— transformations). Conception of such transformations implements the idea of superposition of standard functions by certain sequence of recurrent applications of the superposition. Least Square Method is used for designing the elementary functional transformations and implemented by necessary developed of M-P-inverse? technique. It is turn out that the same approach may be designed and implemented for solving the classification problem. Besides, the special classes of beam dynamics with delay were introduced and investigated to get classical results regarding gradients. These results were applied to optimize the NfT—transformations?.

Keywords: Grouping information problem, generalized artificial neuronets, learning samples, beam dynamics, Fuzzy likelihood equation, Multiset theory.

ACM Classification Keywords: G.2.m. Discrete mathematics: miscellaneous,G.2.1 Combinatorics. G.3 Probability and statistics, G.1.6. Numerical analysis I.5.1.Pattern Recognition H.1.m. Models and Principles: miscellaneous:

Link:

RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED MATHEMATICS

V. Donchenko, Yu. Krivonos, Yu. Krak

http://www.foibg.com/ijima/vol01/ijima01-1-p06.pdf

Abstract: ESI (European Software Institute), Center Eastern Europe and BASSCOM, in collaboration with Association Autism developed a project of a model for employment provision to people with ASD. The model includes trainings and workshops for IT companies for work with people with ASD, as well as theoretical/ practical IT training for the job candidates. The job positions for the employees with autism spectrum disorders are software products testing for bugs, data processing in IT systems, administration and office functions and other suitable activities using IT. This paper describes the course of the project and the sustainable results of the pilot model. The training program and the methodology for adapted and real employment, developed within the framework of the project are also described.

Keywords: IT training and employment, autism, social iInclusion.

ACM Classification Keywords: J. Computer Applications - J.4 Social and Behavioral Sciences, K.3 Computers and Education - Assistive technologies for persons with disabilities, K.3 Computers and Education - Employment, K.3 Computers and Education - Handicapped persons/special needs,

Link:

MODEL FOR IT TRAINING AND EMPLOYMENT OF PEOPLE WITH AUTISM SPECTRUM DISORDERS

Ekaterina Detcheva, Mirena Velkova, Ani Andonova

http://www.foibg.com/ijima/vol01/ijima01-1-p05.pdf

Abstract: In this paper we discuss the process of virtual exposition modeling for the folklore domain. Two folklore information systems are chosen as a source of the content – the Bulgarian folklore digital libraries and the Bulgarian folklore artery. They include specimens of different folklore narrative types (songs, rituals, faith, knowledge, proverbs, magic, etc.) and their audio-visual documentation. The purpose of the virtual expositions modeling is combining attractive, but difficult-to-collect objects that present completely the socium occupation, traditions and life in concrete (but not only) village (folklore region, area, etc.). It is important to present objects with different origin, for example juxtaposing available fund materials for the beginning of 20th century for one rite and this rite 100 year after. This approach will join the past with the present of the corresponding folklore objects and will present the Bulgarian folklore culture as vital and dynamically developing one.

Keywords: Virtual Exposition Modeling, Digital Libraries Services

ACM Classification Keywords: H.1 Models and Principles, H.3.7 Digital Libraries – Collection, Dissemination, System issues

Link:

VIRTUAL EXPOSITIONS MODELING IN THE BULGARIAN FOLKLORE

Desislava Paneva-Marinova?, Detelin Luchev, Konstantin Rangochev

http://www.foibg.com/ijima/vol01/ijima01-1-p04.pdf

Abstract: Trust and reputation models play an important role in enabling trusted computations over large-scale distributed Grids. Many models have been recently proposed and implemented within trust management systems. Nevertheless, the existing approaches usually assess performance of models in terms of resource management while less attention is paid to the analysis of security threat scenarios for such models. In this paper, we asses the most important and critical security threats for a utility-based reputation model in Grids. The existing model is extended to address these threat scenarios. Also we propose the probabilistic estimation of trust model. With simulations that were run using data collected from the EGEE Grid-Observatory? project, we analyze efficiency of the utility-based reputation model against these threats.

Keywords: trust; reputation model; Grid computing; utility; security threats

ACM Classification Keywords: H.1.1 Models and Principles Systems and Information Theory; I.4.8 Image Processing and Computer Vision Scene Analysis - Sensor Fusion

Link:

PROBABILISTIC ESTIMATION OF TRUST MODEL AND THREAT RESISTANCE ANALYSIS IN SERVICE-ORIENTED SYSTEMS

Nataliia Kussul, Olga Kussul, Sergii Skakun

http://www.foibg.com/ijima/vol01/ijima01-1-p03.pdf

Abstract: In the paper we describe the model of lexicographical database and Russian-Tatar? lexicographical database data model.

Keywords: lexicographical database, linguistic resource, grammatical model.

ACM Classification Keywords: H.3 INFORMATION STORAGE AND RETRIEVAL H.3.1 Content Analysis and Indexing - Linguistic processing

Link:

MODEL OF LEXICOGRAPHICAL DATABASE: STRUCTURE, BASIC FUNCTIONALITY, IMPLEMENTATION

Olga Nevzorova, Farid Salimov

http://www.foibg.com/ijima/vol01/ijima01-1-p02.pdf

Abstract: Proposed developed concept of active moving object (AMO) was used to form statement of control problems which was investigated. Depending on the type of AMO can move and interact in space, air, on the ground, in water. In this paper AMO was interpreted as space-facilities (SF). The unified description of various control processes lets synthesize simultaneously both technical and functional structures of SF control system (CS). It is important that the presented approach extends new scientific and practical results obtained in the modern control theory to the field of space programs.

Keywords: active moving object, optimal program control, multi-criteria multiple-model description applied area.

ACM Classification Keywords: D.2.11 Software Architectures and F.1.1 Models of Computation.

Link:

MULTIPLE-MODEL DESCRIPTION AND STRUCTURE DYNAMICS ANALYSIS OF ACTIVE MOVING OBJECTS CONTROL SYSTEM

Boris Sokolov, Rafael Yusupov, Vyacheslav Zelentsov

http://www.foibg.com/ijima/vol01/ijima01-1-p01.pdf

Abstract: On the basis of the theory of hyper-random phenomena, the calculus approaches for divergent and multiple-valued sequences and functions have been developed. For divergent sequences and functions, a number of new concepts, in particular concepts of generalized limit, spectrum of limit points, convergence to spectrum of limit points, distribution function and density function of limit points, bounds of a distribution function etc. are introduced. Concepts known for single-valued functions, in particular concepts of convergence, continuity, derivative, differentiability, indefinite and definite integrals are generalized on multiple-valued functions. A link between multiple-valued and divergent functions is found. Transformation particularities of single-valued functions into multiple-valued functions and multiple-valued functions into single-valued ones are researched.

Keywords: divergent function, partial limit, multiple-valued function, divergent integral, theory of hyper-random phenomena.

ACM Classification Keywords: G.3 Probability and Statistics

Link:

DIVERGENT AND MULTIPLE-VALUED SEQUENCES AND FUNCTIONS

Igor Gorban

http://foibg.com/ibs_isc/ibs-28/ibs-28-p43.pdf

Abstract: Анализируется понятие когнитивной семиотики. Определяется структура этого понятия. Рассматриваются отношения семиотики и эпистемологии. Исследуются процессы образного мышления с точки зрения когнитивной семиотики. Исследование проводится с целью последующего построения формальных структур знаний для моделирования процессов образно-понятийного мышления в компьютерных технологиях

Keywords: Образ, мышление, семиотика, эпистемология, когнитивные процессы, модель, компьютерная технология, база знаний.

ACM Classification Keywords: A.1 Information Technology for Knowledge Management; Е.1 Process-oriented Knowledge Structuring; H.1.1 Systems and Information Theory; I.2.4 Knowledge Representation Formalisms and Methods; J.4 Social and Behavioral Sciences; М.4 Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems.

Link:

КОГНИТИВНАЯ СЕМИОТИКА В ПРОЦЕССАХ ОБРАЗНОГО МЫШЛЕНИЯ

Юрий Валькман

http://foibg.com/ibs_isc/ibs-28/ibs-28-p42.pdf

Aннотация: Рассматриваются особенности использования новых информационных технологий в учебных заведениях Украины. Выделены некоторые проблемы и перспективы внедрения дистанционного образования и грид-технологий в системе образования Украины.

Ключевые слова: информационные технологии в образовании, Грид-технологии, электронное образование, дистанционное образование.

ACM Classification Keywords: K.3.1 Computer Uses in Education.

Link:

НЕКОТОРЫЕ АСПЕКТЫ ИСПОЛЬЗОВАНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ В ОБРАЗОВАТЕЛЬНОЙ СИСТЕМЕ УКРАИНЫ

Наталия Кондрук, Наталия Юрченко

http://foibg.com/ibs_isc/ibs-28/ibs-28-p41.pdf

Аннотация: Рассматривается проблема оценки компетенции "знания", приобретенного в вузе, как составляющая компетентности выпускника

Ключевые слова: знания, компетенция, компетентность, компетентностный подход, модель

ACM Classification Keywords: H.4.2 Information Systems Applications: Types of Systems: Decision Support

Link:

МОДЕЛИРОВАНИЕ ОЦЕНКИ ЗНАНИЙ ВЫПУСКНИКА ВУЗА

Николай Маляр, Анатолий Штимак

http://foibg.com/ibs_isc/ibs-28/ibs-28-p40.pdf

Аннотация: В работе проанализирована структура программного продукта «SMPR», разработанного под руководством профессора Киевского национального университета им. Т.Г. Шевченко, д.т.н. Волошина А.Ф., и его применение при решении многокритериальных задач выбора, связанных с принятием решений в области сетей доступа. На основе «SMPR», разработан и внедрен в учебный процесс цикл лабораторных работ для студентов специальности «Компьютерные системы и сети».

Ключевые слова: информационная сеть, сеть доступа, проектирование, метод выбора, критерий выбора.

Ключевые слова классификации ACM: H. Information Systems - H.1 MODELS AND PRINCIPLES, C. Computer Systems Organization - C.2 COMPUTER-COMMUNICATION NETWORKS, E. Data - E.0 GENERAL.

Link:

ПРИМЕНЕНИЕ ОБУЧАЮЩЕЙ ПРОГРАММЫ SMPR ПРИ ВЫБОРЕ ТЕХНОЛОГИЙ СЕТЕЙ ДОСТУПА

Антон Бондаренко

http://foibg.com/ibs_isc/ibs-28/ibs-28-p39.pdf

Аннотация: На основе анализа, касающегося возможных методов выбора оптимального варианта, определен универсальный метод, для проектирования компьютерных сетей. Построена математическая модель выбора оптимального критерия при заданных параметрах задачи выбора и модель реализации решения. Разработан и внедрен в учебный процесс комплекс лабораторных работ на базе обучающей компьютерной программы «SMPR» с целью повышения эффективности обучения студентов специальности «Компьютерные системы и сети».

Ключевые слова: компьютерная сеть, проектирование, метод выбора, критерий выбора.

Ключевые слова классификации ACM: H. Information Systems - H.1 MODELS AND PRINCIPLES, C. Computer Systems Organization - C.2 COMPUTER-COMMUNICATION NETWORKS, E. Data - E.0 GENERAL.

Link:

ОПЫТ ИСПОЛЬЗОВАНИЯ МЕТОДОВ РЕШЕНИЯ ЗАДАЧ ВЫБОРА В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ И РИСКА ПРИ ПРОЕКТИРОВАНИИ КОМПЬЮТЕРНЫХ СЕТЕЙ

Максим Соломицкий, Оксана Болотина

http://foibg.com/ibs_isc/ibs-28/ibs-28-p38.pdf

Аннотация: Выполнен анализ условий использования теории принятия решений при проектировании информационных сетей. Предложенная методика используется на кафедре информационно-коммуникационных технологий Одесской государственной академии холода при выполнении курсового проектирования и подготовке выпускных квалификационных работ при получении квалификации магистров и специалистов специальности «Компьютерные системы и сети»

Ключевые слова: информационная сеть, векторные и скалярные критерии, эффективность функционирования сети.

Ключевые слова классификации ACM: H. Information Systems - H.1 MODELS AND PRINCIPLES, E. Data - E.0 GENERAL.

Link:

ПРОЦЕССЫ ВЫБОРА АЛЬТЕРНАТИВНЫХ РЕШЕНИЙ ПРИ ПРОЕКТИРОВАНИИ ИНФОРМАЦИОННЫХ СЕТЕЙ

Галина Гайворонская

http://foibg.com/ibs_isc/ibs-28/ibs-28-p37.pdf

Аннотация: В работе описываются основные требования к организационным моделям управления знаниями. Рассмотрено организационную модель OperA. Фреймворк OperA состоит из трёх взаимосвязанных моделей: организационной, социальной и модели взаимосвязи. Рассмотрена организационная модель рынка знаний.

Ключевые слова: управление знаниями, организационная модель OperA, рынок знаний.

ACM Classification Keywords: I.2.11 Artificial Intelligence- Multiagent systems

Link:

ИСПОЛЬЗОВАНИЕ ОРГАНИЗАЦИОННОЙ МОДЕЛИ OPERA ДЛЯ УПРАВЛЕНИЯ РЫНКОМ ЗНАНИЙ

Глибовец Николай Николаевич, Сидоренко Марина Олеговна

http://foibg.com/ibs_isc/ibs-28/ibs-28-p36.pdf

Аннотация: Рассматривается программное обеспечение поддержки курсов по теории принятий решений в виде учебно-методической тестирующее-оценивающей системы. Описывается эволюция его разработки, структура, назначение и функционирование. Приводится пример использования.

Ключевые слова: информационные технологии в образовании, учебно-методические программные системы, MS Visual Studio, C #, командная разработка, система защиты авторских прав, теория принятия решений.

ACM Classification Keywords: D.2.13 reusable Software - Reuse models.

Link:

УЧЕБНО-МЕТОДИЧЕСКАЯ ТЕСТИРУЮЩЕ-ОЦЕНИВАЮЩАЯ ПРОГРАММНАЯ СИСТЕМА ПОДДЕРЖКИ УЧЕБНЫХ КУРСОВ ПО ТЕОРИИ ПРИНЯТИЯ РЕШЕНИЙ

Алексей Волошин, Даниил Ковалёв

http://foibg.com/ibs_isc/ibs-28/ibs-28-p35.pdf

Аннотация: Для виртуальных миров характерно в пoследние гoды стремительный рoст кoличества пoльзoвателей. Мнoгие университеты начали изучать вoзмoжнoсти виртуальных мирoв. Испoльзoвание иннoвациoнных Интернет-технoлoгий предлагает нoвые вoзмoжнoсти кoмпьютернo-oпoсредoваннoй кoммуникации. Эта статья пoказывает, как пoтенциальные вoзмoжнoсти виртуальных мирoв мoгут быть испoльзoваны, oсoбеннo в сфере oрганизации иннoвациoннoгo препoдавания и oбучения.

Keywords: виртуальные миры, e-learning, технологи Web 2.0 .

ACM Classification Keywords: K.3.1. Computer Uses in Education

Link:

УЧЕБА В ВИРТУАЛЬНЫХ МИРАХ

Григoркив Василий, Винничук Елена, Винничук Игoрь

http://foibg.com/ibs_isc/ibs-28/ibs-28-p34.pdf

Abstract: Портфолио представляет собой одновременно форму, процесс организации и технологию работы с продуктами познавательной деятельности учащихся, предназначенных для демонстрации, анализа и оценки, для развития рефлексии, для осознания и оценки ими результатов своей деятельности, для осознания собственной субъектной позиции. Эти факторы определяют актуальность проблемы, ее значимость для современной системы образования. В свою очередь, электронное портфолио позволяет в значительной степени упростить задачу ведения, хранения и предоставления портфолио обучающегося, а также сделать процесс более эффективным. Но полно¬ценного использования технологии электронного портфолио в России на сегодняшний день нет, как не существует программных комплексов для внедрения в образовательные учреждения с целью реализации технологии портфолио, что делают разработку подобного комплекса чрезвычайно актуальным.

Keywords: портфолио обучающегося, электронное портфолио, рефлексивная оценка, самореализация.

ACM Classification Keywords: K3.1 Computer Uses in Education

Link:

ЭЛЕКТРОННОЕ ПОРТФОЛИО КАК СРЕДСТВО СОПРОВОЖДЕНИЯ СТУДЕНТОВ В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ ВУЗОВ

Воронцов Сергей, Болгов Михаил, Артемьева Ирина

http://foibg.com/ibs_isc/ibs-28/ibs-28-p33.pdf