Abstract: EulerPathSolver? is a new application, that meets eMathTeacher specifications and simulates Fleury’s algorithm execution. The application runs in a Java Web Start Window and features an animation of the algorithm code, a framework working panel showing the algorithm structures and allowing their manipulation, Pop-up questions, language selector and, save/load options together with the interactive simulation within automatic correction of the user’s inputs. It has been designed with the main purpose of supporting active learning as well as being a good aid for teachers when explaining the algorithm process. EulerPathSolver? enhances dramatically the old Fleury’s Algorithm tutorial designed by the authors and will be a great partner when learning Fleury’s Algorithm.

Keywords: eMathTeacher, eLearning, active learning, interactive Java applications, discrete mathematics learning, algorithm visualization.

ACM Classification Keywords: K.3.1 Computers and Education: Computer Uses in Education – computerassisted instruction (CAI), distance learning. K.3.2 Computers and Education: Computer and Information Science Education – computer science education, self-assessment. G.2.2 Discrete Mathematics: Graph Theory – graph algorithms, path and circuit problems.

Link:

EULERPATHSOLVER: A NEW APPLICATION FOR FLEURY’S ALGORITHM SIMULATION

Gloria Sánchez–Torrubia?, Carmen Torres–Blanc?, Leila Navascués-Galante?

http://foibg.com/ibs_isc/ibs-14/ibs-14-p13.pdf

Abstract: This paper presents an adaptable InfoStation-based? multi-agent system facilitating the mobile eLearning (mLearning) services provision within a University Campus. The network architecture is presented, and the interactions between the various components within the architecture during mLearning service provision (mLecture, mTest) are presented. System implementation approaches are also considered, with particular attention paid to the creation of user profiles and service profiles for the personalization and contextualization of the presented services.

Keywords: InfoStations?, Intelligent Agents, Multi-agent System, mLearning, CC/PP-UAProf, OWL-S.

Link:

ADAPTATION FOR ASSIMILATION: THE ROLE OF ADAPTABLE M-LEARNING SERVICES IN THE MODERN EDUCATIONAL PARADIGM

Damien Meere, Ivan Ganchev, Stanimir Stojanov, Máirtín O’Dróma?

http://foibg.com/ibs_isc/ibs-14/ibs-14-p12.pdf

Abstract: An approach for indirect spatial data extraction by learning restricted finite state automata from web documents created using Bulgarian language are outlined in the paper. It uses heuristics to generalize initial finite-state automata that recognizes only the positive examples and nothing else into automata that recognizes as larger language as possible without extracting any non-positive examples from the training data set. The learning method, program realization and experiments are presented. The investigation is carried out in accordance and following the rules of EU INSPIRE Network.

Keywords: Automatic Data Extraction, Restricted Finite State Automata, Web Documents, Indirect Spatial Data, INSPIRE network.

ACM Classification Keywords: H.2.8 Database Applications - Data mining; F.1.1 Models of Computation – Finite State Automata

Link:

INDIRECT SPATIAL DATA EXTRACTION FROM WEB DOCUMENTS

Dimitar Blagoev, George Totkov, Milena Staneva, Krassimira Ivanova, Krassimir Markov, Peter Stanchev

Abstract: This article is devoted to the questions of prognostication of efficiency medical and prophylactic measures at renewal of the broken equilibrium of human organism by vegetable medications. The methods of modeling of different processes are considered in the article from position of systems analysis. There was chosen Markov processes theory for description of renewal of the broken homoeostasis process, which rotined high correlation between clinical supervisions and forecast process.

Keywords: casual process, Markov chains, medical and prophylactic measures, MAIS, MFPS.

ACM Classification Keywords: I.6 Simulation and modeling, I.6.3 Applications; J.3 Life and medical sciences – Medical information systems

PROGNOSTICATION OF EFFICIENCY OF MEDICAL AND PROPHYLACTIC MEASURES AT DIFFERENT HOMOEOSTASIS VIOLATION OF HUMAN ORGANISM BY MARKOV PROCESSES THEORY

Boris Samura, Anatoly Povoroznuk, Olga Kozina, Elena Visotskaja, Elena Chernykh, Nikolay Shukin, Andrei Porvan

Abstract: Based on several results related to studies on emotions, we suggest that the process of emotionrecognition is assisted by some internal structure of the cognitive images of emotions, which are at different levels of knowledge representation. We concede that the main proposed in psychology models are in correspondence with these levels and in this sense - complementary. We summarize the state-of-the-art of machine emotion recognition with regards of the used psychological models of emotions. In order to discover amelioration sources of multimodal machine emotion recognition, we propose a scheme of the cognitive process, based on gradual levels of representation. The proposed scheme shows several "strategic" differences with the architectures used in machine emotion recognition. We discuss the questions related to recognition, assisted by two levels of representation that we called "perceptual" and "conceptual".

ACM Classification Keywords: I.2 Artificial Intelligence, 1.2.0.Cognitive simulation

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MULTI-MODAL EMOTION RECOGNITION – MORE "COGNITIVE" MACHINES

Velina Slavova, Hichem Sahli, Werner Verhelst

http://foibg.com/ibs_isc/ibs-14/ibs-14-p09.pdf

Abstract: The development of a methodology and tools for an automatic extraction of metadata for digital objects deployed in various subject repositories is a potential research issue. This paper presents a general overview of topics concerning the building of repositories and the applied metadata schemas with respect to the objectives of METASPEED project. The main goal of this project is to investigate and create technologies, methods and tools for automatic generation of metadata thus facilitating the proper specification of documents with different eformat, content and location.

Key words: Digital object repository, metadata schema

Link:

DIGITAL OBJECTS – STORAGE, DELIVERY AND REUSE

Juliana Peneva, Stanislav Ivanov, Filip Andonov, Nikolay Dokev

http://foibg.com/ibs_isc/ibs-14/ibs-14-p08.pdf

Abstract: In this paper an analysis of possibilities offered by virtual environments for accomplishing attacks to and within it, is made. Main techniques for accomplishing an attack to virtual environment are pointed and real virtual attacks and successful virtual attacks are examined. An analysis of accomplished attacks is made and percent distribution of real virtual attacks and successful virtual attack is graphically illustrated. Respective assessments and recommendations for future investigation are made.

Keywords: Virtual Machine Environment, Virtual Environment, Attack/Attack tools, Defense/Defense tools, Malicious Code

ACM Classification Keywords: D.4.6 Security and Protection: Invasive software (e.g., viruses, worms, Trojan horses)

Link:

ANALYSIS OF MALICIOUS ATTACKS ACCOMPLISHED IN REAL AND VIRTUAL ENVIRONMENT

Dimitrina Polimirova, Eugene Nickolov

http://foibg.com/ibs_isc/ibs-14/ibs-14-p07.pdf

Abstract: Admission control is a key issue for quality of service (QoS) provisioning in both wired and wireless communication networks. The call admission control (CAC) algorithm needs to know the source traffic characteristics and the required performance in order to determine whether the connection can be accepted or not and , if accepted, the amount of network resources to allocate. In this paper, we determine the CAC threshold value in case streaming homogeneous ON-OFF traffic flow is considered. An analytical method for packet loss probability evaluation is proposed and numerical examples are presented.

Keywords: streaming traffic, ON-OFF traffic model, call admission control, packet loss probability

ACM Classification Keywords: C.2.1 Network architecture and Design – Wireless communication, C.2.5 Local and Wide-Area? Networks – Access schemes

Link:

PERFORMANCE ANALYSIS OF CALL ADMISSION CONTROL FOR STREAMING TRAFFIC WITH ACTIVITY DETECTION FUNCTION

Kiril Kassev, Yakim Mihov, Boris Tsankov

http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p06.pdf

Abstract: Subtitling is used extensively by broadcasters both for foreign-language subtitling and as an access service to help people with a disability access television programs. The European Broadcaster Union (EBU) has create a working group in 2009-01-21 for use the standard Distribution Format Exchange Profile 1 (DFXP) for exchange subtitling information in XML with the Material Exchange Format 2 (MXF) file format. At this moment, in order to help the deaf people, broadcaster produces textual data in a file with a time-code referred of the picture. Subtitle live events require speech recognition or special keyboards where the words are presented as a union of several keys pressed. In this paper, we present an initiative based in B2B standards for the exchange, production, and broadcast multilingual subtitle for live Opera production.

Keywords: MPEG2, Multimedia, DTV, Subtitling, Broadcasting.

Link:

MULTILANGUAGE OPERA SUBTITLING EXCHANGE BETWEEN PRODUCTION AND BROADCASTER COMPANIES

Jesús Martínez Barbero, Manuel Bollaín Pérez

http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p05.pdf

Abstract: This paper presents a comparison of four representative discretization methods from different classes to be used with so called PGN-classifier which deals with categorical data. We examine which of them supplies more convenient discretization for PGN Classification Method. The experiments are provided on the base of UCI repository data sets. The comparison tests were provided using an experimental classification machine learning system "PaGaNe", which realizes Pyramidal Growing Network (PGN) Classification Algorithm. It is found that in general, PGN-classifier trained on data preprocessed by Chi-merge achieve lower classification error than those trained on data preprocessed by the other discretization methods. The comparison of PGN-classifier, trained with Chi-merge-discretizator with other classifiers (realized in WEKA system) shows good results in favor of PGNclassifier.

Keywords: Data Mining, Machine Learning, Discretization, Data Analysis, Pyramidal Growing Networks

Link:

COMPARISON OF DISCRETIZATION METHODS FOR PREPROCESSING DATA FOR PYRAMIDAL GROWING NETWORK CLASSIFICATION METHOD

Ilia Mitov, Krassimira Ivanova, Krassimir Markov, Vitalii Velychko, Peter Stanchev, Koen Vanhoof

http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p04.pdf

Abstract: The modeling languages are designed to make easier the software development. That is why so many times they are included in the development methodology. In 2001 the OMG proposed model driver architecture for the software development (MDA). In this architecture are transformations which are used between the models to get others. The goal is to show a new way to develop applications using the Agents Oriented paradigm. To do it the MDA is showed and the methodology agent’s models are studied. There is no methodology which uses the transformations between the models, so the meta-models group and the transformations between them should be researched.

Keywords: MDA, OMG, Modeling Languages, Meta-Models?, Models, MAS, Agents, MDD, MDE.

ACM Classification Keywords: C.2.4 Distributed Systems - Distributed applications, D.2.11 Software Architectures – Languages.

Link:

MODELING LANGUAGE OF MULTI-AGENT SYSTEMS = PROGRAMMING TEMPLATE

Rubén Álvarez-González, Miguel Angel Díaz Martínez

http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p03.pdf

Abstract: Membrane computing is a recent area that belongs to natural computing. This field works on computational models based on nature's behavior to process the information. Recently, numerous models have been developed and implemented with this purpose. P-systems are the structures which have been defined, developed and implemented to simulate the behavior and the evolution of membrane systems which we find in nature. What we analyze in this paper is the power of the tools we currently have to simulate the randomness we find in nature. The main problem we face here, is trying to simulate non deterministic events by using deterministic tools. The goal we want to achieve is to propose an optimal method when simulating non deterministic processes. Talking about simulation of non deterministic method makes no sense when using deterministic tools; however we can get closer to the idea of non determinism by using more powerful randomness generators.

Keywords: P-systems, evolution rules application, non-determinism simulation, randomness in p-systems

Link:

P-SYSTEMS: STUDY OF RANDOMNESS WHEN APPLYING EVOLUTION RULES

Alberto Arteta, Luis Fernández, Fernando Arroyo

http://www.foibg.com/ibs_isc/ibs-14/ibs-14-p02.pdf

Abstract: The simulation of the main molecular operations used in DNA Computing can lead the researchers to develop complex algorithms and methods without the need of working with real DNA strands in-vitro. The purpose of this paper is to present a computer program which simulates a cutting process over DNA molecules which is an essential operation for the DNA computation. This simulation represents a useful tool for a virtual laboratory which is oriented to DNA computations. The results given by the software can show the behavior of a DNA cutting under certain set of restrictive enzymes to carry out the operation in-vitro efficiently.

Keywords: DNA Computing, DNA Simulation, Software Simulation, DNA operations, Bioinformatics.

ACM Classification Keywords: I.6. Simulation and Modelling, B.7.1 Advanced Technologies, J.3 Biology and Genetics

Link:

SIMULATION OF DNA CUTTING

Francisco José Cisneros, Andrés de la Peña, Cristina Piqueras, Paula Cordero, Juan Castellanos

http://foibg.com/ibs_isc/ibs-14/ibs-14-p01.pdf

Аннотация: В результате анализа литературных данных получены свидетельства о том, что известные анатомо-физиологические феномены, перекресты зрительных волокон и инверсия сетчатки, хорошо изученные в нейроанатомическом плане, но остающиеся до сих пор без общепринятого объяснения в функциональном плане, являются механизмами зеркальных преобразований. Благодаря этим механизмам обеспечивается формирование такой нейронной модели (карты, проекции), оси координат которой на воспринимающей стороне направлены незеркально (а на отдающей – зеркально) таковым исходного оригинала – "лица" единого поля зрения и "лица" его составляющих, полей зрения. Без этих преобразований оси координат на воспринимающей стороне нейронной модели были бы направлены зеркально, как это имеет место у оптической проекции.

Ключевые слова: инверсия сетчатки, перекресты зрительных волокон, зеркальные преобразования (соответствия), проекции полей зрения.

Link:

ЗАЧЕМ И ПОЧЕМУ В ЗРИТЕЛЬНОЙ СИСТЕМЕ ИМЕЮТ МЕСТО ИНВЕРСИЯ СЕТЧАТКИ И ПЕРЕКРЕСТЫ ЗРИТЕЛЬНЫХ ВОЛОКОН

Геннадий Воронков

http://foibg.com/ibs_isc/ibs-15/ibs-15-p36.pdf

Аннотация: Работа посвящена методологии системного исследования сложных и слабоформализованных объектов. Показаны преимущества системологического подхода, приведено содержание этапов системного анализа; затронуты вопросы инженерии и менеджмента знаний.

Ключевые слова: системологическое исследование, системный анализ, описание плохо поддающихся структуризации и слабоформализуемых объектов, системные параметры, когнитивные задачи.

ACM Classification Keywords: H.1.1 – Systems and Information Theory – General Systems Theory.

Link:

КРАТКИЙ МЕТОДОЛОГИЧЕСКИЙ МЕМОРАНДУМ –ЧАСТЬ ПЕРВАЯ

Анатолий Крисилов, Екатерина Соловьева, Авенир Уемов

http://foibg.com/ibs_isc/ibs-15/ibs-15-p35.pdf

Аннотация: Доказаны две теоремы, определяющие условия сходимости выборочного среднего гиперслучайной величины и алгоритм расчета состоятельных оценок границ начальных моментов гиперслучайных величин при быстрых изменениях статистических условий. Доказана для гиперслучайных событий теорема, определяющая предельные границы функции распределения частоты гиперслучайных событий при устремлении объема выборки к бесконечности. Доказано, что нижняя граница математического ожидания гиперслучайной величины не меньше математического ожидания верхней границы распределения, а верхняя граница математического ожидания гиперслучайной величины не больше математического ожидания нижней границы распределения.

Ключевые слова: теория гиперслучайных явлений, выборка, сходимость.

ACM Classification Keywords: G3 Probability and Statistics

Link:

ЗАКОН БОЛЬШИХ ЧИСЕЛ ДЛЯ ГИПЕРСЛУЧАЙНОЙ ВЫБОРКИ

Игорь Горбань

http://foibg.com/ibs_isc/ibs-15/ibs-15-p34.pdf

Аннотация: В статье описывается система построенная на основе реализации метода Монте- Карло для анализа рисков и управления валютным портфелем.

Ключевые слова: Валютные риски, валютный портфель, VaR метод, метод Монте-Карло.

ACM Classification Keywords: J.4. Social and Behavioral Sciences

Link:

СИСТЕМА МОДЕЛИРОВАНИЯ И АНАЛИЗА ВАЛЮТНЫХ РИСКОВ

Виктор Бондаренко

http://foibg.com/ibs_isc/ibs-15/ibs-15-p33.pdf

Аннотация: Предлагается изменение и адаптация известной торговой системы "Мартингейл" для прогнозирования кросс-курсов иностранных валют. Представленные экспериментальные результаты использования модернизированной версии МБАС "Мартингейл" доказывают эффективность предлагаемого подхода.

Ключевые слова: рынок валюты, прогнозирования кросс-курсов, торговая система

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

Link:

МОДЕРНИЗАЦИЯ СИСТЕМЫ МАРТИНГЕЙЛ И АНАЛИЗ ЕЕ РАБОТЫ НА ВАЛЮТНЫХ РЫНКАХ

Владислав Плаксин

http://foibg.com/ibs_isc/ibs-15/ibs-15-p32.pdf

Аннотация: Рассматривается проблема оптимального распределения инвестиций между экономическим и социальным направлениями, которая сводиться к задаче оптимального управления. Находятся оптимальные траектории динамики социально-экономической системы с учетом соответствующих оптимальных капиталовложений. Таким образом, предлагается концепция для принятия оптимальных управленческих решений по инвестированию на макро- и микроуровнях.

Ключевые слова: социально-экономическая система, инвестиции, возобновимый ресурс, управление, принятие решений.

ACM Classification Keywords: I. Computing Methodologies, H.4.2 Information Systems Applications: Types of Systems: Decision Support.

Link:

ОБ РАСПРЕДЕЛЕНИИ ИНВЕСТИЦИЙ В ЭКОНОМИКО-СОЦИАЛЬНОЙ СФЕРЕ

Марина Коробова

http://foibg.com/ibs_isc/ibs-15/ibs-15-p31.pdf

Аннотация: Рассмотрена методология прогнозирования, основные принципы, подходы и методы расчетов динамики инфляционных процессов.

Ключевые слова: инфляционный индекс, прогнозные модели, методы прогнозирования

ACM Classification Keywords: I. Computing Methodologies, H.4.2 Information Systems Applications: Types of Systems: Decision Support.

Link:

МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ ПРОГНОЗИРОВАНИЯ ИНФЛЯЦИИ

Ирина Горицына, Виктория Сатыр

http://foibg.com/ibs_isc/ibs-15/ibs-15-p30.pdf

Аннотация: В статье авторами предложены новые двойственные модели цен для динамической модели Леонтьева «затраты-выпуск», которые используют разные гипотезы относительно финансовых балансов. Параллельно к классической гипотезе о отсутствии денежных запасов используется одна из трех альтернативных: гипотеза о неизменности во времени общей стоимости капитала, гипотеза о расширении производства только за счет инфляции, а также гипотеза о коррупции при расширении производства. В зависимости от принятой гипотезы получены разные магистральные траектории цен.

Ключевые слова: динамическая модель Леонтьева «затраты-выпуск», двойственная динамическая модель, экономические гипотезы относительно финансовых балансов, динамика равновесных цен.

ACM Classification Keywords: I. Computing Methodologies, H.4.2 Information Systems Applications: Types of Systems: Decision Support

Link:

ЭКОНОМИЧЕСКИЕ ГИПОТЕЗЫ И ДВОЙСТВЕННАЯ ДИНАМИЧЕСКАЯ МОДЕЛЬ ЛЕОНТЬЕВА “ЗАТРАТЫ-ВЫПУСК”

Игорь Ляшенко, Елена Ляшенко, Андрей Онищенко

http://foibg.com/ibs_isc/ibs-15/ibs-15-p29.pdf

Abstract: The problem of forecasting models constructing using experimental data in terms of fuzziness, when input variables are not known exactly and determined as intervals of uncertainty is considered in this paper. The fuzzy group method of data handling is proposed to solve this problem. The mathematical model of the problem mentioned above is built and fuzzy GMDH with fuzzy inputs is elaborated in the paper. The corresponding program which uses the suggested algorithm was developed. The experimental investigations and comparison of FGMDH with neural nets in problems of stock prices forecasting were carried out and presented in this paper.

Keywords Group Method of Data Handling, fuzzy, economic indexes, stock prices, forecasting

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

Link:

THE FUZZY GROUP METHOD OF DATA HANDLING WITH FUZZY INPUTS

Yuriy Zaychenko

http://foibg.com/ibs_isc/ibs-15/ibs-15-p28.pdf

Abstract: The collective product cost-sharing problems in the conditions of the managed economy are being observed. The fuzzy generalization and “dual” approach to the solution of this problem is offered.

Keywords: decision making, cost-sharing, regulated monopoly.

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

Link:

COLLECTIVE PRODUCT COST SHARING IN CONDITIONS OF MANAGED ECONOMY

Olexij Voloshin, Vasyl Laver

http://foibg.com/ibs_isc/ibs-15/ibs-15-p27.pdf

Аннотация: Предлагается способ исследования устойчивости нечетких разностных систем большой размерности на основе применения метода вектор-функций Ляпунова и специальной процедуры декомпозиции системы на подсистемы.

Ключевые слова: разностные системы, функции Ляпунова, нечеткость

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

Link:

КАЧЕСТВЕННЫЙ АНАЛИЗ МНОГОМЕРНЫХ НЕЧЕТКИХ РАЗНОСТНЫХ СИСТЕМ

Евгений Ивохин

http://foibg.com/ibs_isc/ibs-15/ibs-15-p26.pdf

Аннотация: Предлагается модификация процедур отсева декомпозиционного метода последовательного анализа и отсеивания вариантов при нечетко заданных допустимых множествах альтернатив дискретных моделей принятия решений.

Ключевые слова: дискретное программирование, последовательный анализ вариантов, нечеткость.

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

Link:

НЕЧЕТКИЙ АЛГОРИТМ ПОСЛЕДОВАТЕЛЬНОГО АНАЛИЗА ВАРИАНТОВ

Алексей Волошин, Николай Маляр, Оксана Швалагин

http://foibg.com/ibs_isc/ibs-15/ibs-15-p25.pdf