bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYTICALLY MODELING UNRELIABLE PARALLEL PROCESSING SYSTEMS WITH GENERAL TASK TIME DISTRIBUTIONS
Authors: Fiorini Pierre M. , Rowan Robert W.
Published: February 2021

For many computing systems, failure is rare enough that it can be ignored. In other systems, failure is so common that the recovery procedure can have a significant impact on the performance of the system. In this paper, assuming a computing system is unreliable, we discuss how heavy-tail or power-tail job completion time distributions can appear in an otherwise well-behaved task stream. This is an important consideration since it is known that powertails can lead to unstable systems. We then demonstrate how to obtain performance and dependability measures for a class of computing systems comprised of P unreliable processors and a finite number of tasks, N, given different recovery policies. Finally, we discuss the effects of checkpointing on the job completion time distribution.
MIXING SPEECH SIGNALS FOR THE REAL-TIME MULTIMEDIA SYSTEMS
Authors: Melnyk A. , Korkishko T. , Shevchuk R.
Published: February 2021

In this work we considered basic principle of mixing and offered the method of multistage mixing which allows the mixing speech samples on the measure of receipt of data blocks in mixer, and also mixing speech samples, that was got from decompression of compression speech signals of different formats.
A NEW VECTOR QUANTIZATION APPROACH FOR DISCRETE HMM SPEECH RECOGNITION SYSTEM
Authors: Debyeche Mohamed , Haton Jean Paul , Houacine Amrane
Published: February 2021

In order to address accuracy issues of discrete Hidden Markov Models (HMMs), in this paper, a new vector quantization (VQ) approach is presented. This new VQ approach performs an optimal distribution of VQ codebook components on HMM states. This technique that we named the distributed vector quantization (DVQ) of hidden Markov models, succeeds in unifying acoustic micro-structure and phonetic macro-structure, when the estimation of HMM parameters is performed. The DVQ technique is implemented through two variants. The first variant uses the K-means algorithm (K-means-DVQ) to optimize the VQ, while the second variant exploits the benefits of the classification behavior of neural networks (NN-DVQ) for the same purpose. The proposed variants are compared with the HMMbased baseline system by experiments of specific Arabic consonants recognition. The results show that the distributed vector quantization technique increase the performance of the discrete HMM system.
WEB ACCESSIBLE MULTIACCOUNT CONFIGURABLE CLIENT EMAIL APPLICATIO
Authors: Ratecki Krzysztof , Sakowicz Bartosz , Wojtowski Marcin , Napieralski Andrzej
Published: February 2021

The article presents alternative ways of checking emails and how to make an application mail enabled using library of J2EE Platform – JavaMail API. The article describes application attainable from WEB browser based on JSP Scripts and Java servlets. Application allows for access to multiple email accounts through one web page.
TESTING AND DIAGNOSIS OF DISTRIBUTED DIGITAL SYSTEMS
Authors: Hahanov Vladimir , Yeliseev Vladimir , Parfenty Alexander
Published: February 2021

The complex system can be represented as hierarchy of simpler components. On the one hand different levels of hierarchy have an advantage for more deeply research of properties of the complex system. On the other hand a flexible model and method of testing and diagnosing of the complex system need to be developed. Moreover, international IEEE testability standards should be applied.The research presented in the current paper offers approach of testing of complex digital system based on hierarchy scaling during diagnosis experiment. Several models of testing are proposed. Main principles of testing system organization are given. The result of the work is significant time reduction of test and diagnostic of system overall.
ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS THE LEGACY OF ALAN TURING AND JOHN VON NEUMANN
Authors: Muhlenbein Heinz
Published: February 2021

The work of Alan Turing and John von Neumann on machine intelligence and artificial automata is reviewed. Turing's proposal to create a child machine with the ability to learn is discussed. Von Neumann had doubts that with teacher based learning it will be possible to create artificial intelligence. He concentrated his research on the issue of complication, probabilistic logic, and self-reproducing automata. The problem of creating artificial intelligence is far from being solved. In the last sections of the paper I review the state of the art in probabilistic logic, complexity research, and transfer learning. These topics have been identified as essential components of artificial intelligence by Turing and von Neumann.
LEARNING FROM THE ENVIRONMENT WITH A UNIVERSAL REINFORCEMENT FUNCTION
Authors: Bendersky Diego Ariel , Santos Juan Miguel
Published: February 2021

Traditionally, in Reinforcement Learning, the specification of the task is contained in the reinforcement function (RF), and each new task requires the definition of a new RF. But in the nature, explicit reward signals are limited, and the characteristics of the environment affects not only “how” animals perform particular tasks, but also “what” skills an animal will develop during its life. In this work, we propose a novel use of Reinforcement Learning that consists in the learning of different abilities or skills, based on the characteristics of the environment, using a fixed and universal reinforcement function. We also show a method to build a RF for a skill using information from the optimal policy learned in a particular environment and we prove that this method is correct, i.e., the RF constructed in this way produces the same optimal policy.
INFORMATION-BASED ALGORITHMIC DESIGN OF A NEURAL NETWORK CLASSIFIER
Authors: Hiromoto Robert E. , Manic Milos
Published: February 2021

An information-based design principle is presented that provides a framework for the design of both parallel and sequential algorithms. In this presentation, the notion of information (data) organization and canonical separation are examined and used in the design of an iterative line method for pattern grouping. In addition this technique is compared to the Winner Take All (WTA) method and shown to have many advantages.
NEURAL NETWORK APPROACHES FOR INTRUSION DETECTION AND RECOGNITION
Authors: Golovko Vladimir , Vaitsekhovich Leanid
Published: February 2021

Most current Intrusion Detection Systems (IDS) examine all data features to detect intrusion. Also existing intrusion detection approaches have some limitations, namely impossibility to process large number of audit data for real-time operation, low detection and recognition accuracy. To overcome these limitations, we apply modular neural network models to detect and recognize attacks in computer networks. It is based on combination of principal component analysis (PCA) neural networks and multilayer perceptrons (MLP). PCA networks are employed for important data extraction and to reduce high dimensional data vectors. We present two PCA neural networks for feature extraction: linear PCA (LPCA) and nonlinear PCA (NPCA). MLP is employed to detect and recognize attacks using feature-extracted data instead of original data. The proposed approaches are tested using KDD-99 dataset. The experimental results demonstrate that the designed models are promising in terms of accuracy and computational time for real world intrusion detection.
NATURALLY CONTROLLED PROCESSES AND THEORY OF RELATIVITY
Authors: Tydnjuk Volodymyr , Kravchenko Volodymyr , Mul Olena
Published: February 2021

The new space-time model is proposed instead of the present model in the theories of relativity. The possible mechanism of control of some natural processes by weak space fields is demonstrated. In theoretical aspect it is raised a question about existence of an information signal along the time axis. It is shown also that existence of the maximum velocity of physical interaction propagation follows from the equations of the general relativity theory.
THE IMPLEMENTATION OF PROLOG INTERPRETER: LEXICAL AND SYNTAX ANALYSES
Authors: Tsimbal Alexander
Published: February 2021

The article considers the development of Prolog programming language interpreter with lexical and syntax analyzer, table control and interpreter blocks. There is proposed the schemes of syntax analyzes and the elements of translator’s program code. The software is developed in Visual C++ 2005 (Beta) environment.
K-MEANS FOR MODELLING AND DETECTING ANOMALOUS PROFILES
Authors: Beghdad Rachid
Published: February 2021

We introduce an intrusion detection method based on the K-means (KM) clustering method to detect anomalous users’ profiles. The main idea is to define k centroids, one for each cluster, such that each cluster represents a given user profile. These centroids should be placed as much as possible far away from each other. The next step is to take each point belonging to a given data set and associate it to the nearest centroid. When no point is pending, the first step is completed and an early groupage is done. At this point we need to re-calculate k new centroids as barycenters of the clusters resulting from the previous step. After we have these k new centroids, a new binding has to be done between the same data set points and the nearest new centroid. A loop has been generated. As a result of this loop we may notice that the k centroids change their location step by step until no more changes are done. An example and experiments are described to illustrate the robustness of our approach.
INTERNET REMOTE LABORATORY SYSTEM (IRLS)
Authors: Michta Emil , Miczulski Wieslaw , Powroznik Piotr , Eljasz Dariusz
Published: February 2021

In the article, the evolution of remote laboratory architectures is presented and the benefits following from the use of an application environment in the form of Web services are pointed out. It is suggested that an education space comprising remote laboratory domains managed by a service broker, co-operating with clients and a laboratory server should be distinguished. A remote metrology laboratory solution is presented.
INTERDISCIPLINARY REMOTE DIDACTIC LABORATORY “G.SAVASTANO”: PHYSICS APPLICATION
Authors: Apergis A. , Rapuano S. , Zoino F.
Published: February 2021

E-learning offers to the student’s didactic tools and course materials over Internet. By distributing tools and materials in this fashion, students isolated from the University environment can still obtain University degrees in many fields. Courses that include laboratory sessions have traditionally required students to be on-site. This is primarily due to the need for laboratory resources to be located in a single site for both practical and safety reasons. This fact hampered the freedom of non traditional (off campus) students to achieve their educational goals. The web adaptations of software packages such as LabVIEW allow control of experiments over Internet. Remote laboratories then become possible. In this framework the Remote Laboratory Distributed on Geographical Network LA.DI.RE. “G.Savastano” of University of Sannio [1] was born, with the aim of developing a virtual learning environment to deliver, through the distance learning methodologies, theoretical lessons as well as laboratory activity on real measurement instrumentation. The paper highlights the interdisciplinary aspect of LA.DI.RE. “G. Savastano”, showing the possibility to provide different real experiments independent of software development environment, thanks to use of an open Learning Management System (LMS) and concerning different didactic fields. In this case the authors present a physics experiment representing a practical session within a Physics course realized in collaboration by researchers of the University of Sannio, in Italy, and University of Thessaloniki in Greece.
ELECTRONIC NOSE FOR ANCHOVY FRESHNESS MONITORING BASED ON SENSOR ARRAY AND PATTERN RECOGNITION METHODS: PRINCIPAL COMPONENTS ANALYSIS, LINEAR DISCRIMINANT ANALYSIS AND SUPPORT VECTOR MACHINE
Authors: Amari A. , El Bari N. , Bouchikhi B.
Published: February 2021

An electronic nose based system, which employs an array of six inexpensive commercial gas sensors based on tin dioxide (Figaro Engineering Inc., Japan), has been used to analyse the freshness states of anchovies. Fresh anchovies were stored in a refrigerator at 4 ± 1°C over a period of 15 days. Electronic nose measurements need no sample preparation and the results indicated that the spoilage process of anchovies could be followed by using this technique. Conductance responses of volatile compounds produced during storage of anchovy were monitored and the result were analysed by multivariate analysis methods. In this paper principal component analysis (PCA) and linear discriminant analysis (LDA) were used to investigate whether the electronic nose was able to distinguishing among different freshness states (fresh, moderated and non-fresh samples). The loadings analysis was used to identify the sensors responsible for discrimination in the current pattern file. Therefore, the support vector machines (SVM) method was applied to the new subset, with only the selected sensors, to confirm that a subset of a few sensors can be chosen to explain all the variance. The results obtained prove that the electronic nose can discriminate successfully different freshness state using LDA analysis. Some sensors have the highest influence in the current pattern file for electronic nose. Support vector machine (SVM) model, applied to the new subset of sensors show the good performance.
ARTIFICIAL NEURAL NETWORK BASED ONLINE SENSOR CALIBRATION AND COMPENSATION
Authors: Khan Shakeb A. , Islam Tarikul , Husain Gulshan
Published: February 2021

This paper presents an artificial neural network (ANN) based generalized online method for sensor response linearization and calibration. Inverse modeling technique is used for sensor response linearization. Multilayer ANN is used for inverse modeling of sensor. The inverse model based technique automatically compensates the associated nonlinearity and estimates the measurand. The scheme is coded in MATLAB® for offline training and for online measurement and successfully implemented using NI PCI-6221 Data Acquisition (DAQ) card and LabVIEW® software. Manufacturing tolerances, environmental effects, and performance drifts due to aging bring up a need for frequent calibration, this ANN based inverse modeling technique provides greater flexibility and accuracy under such conditions.
ANALOG-DIGITAL CONVERSION MONTE-CARLO IN FACILITIES OF MEASURING AND TREATMENT OF VIBRATION SIGNALS
Authors: Lavriv M. V. , Petryshyn L. B.
Published: February 2021

Application of method of analog-digital conversion of Monte Carlo is grounded as such, that allows considerably to extend the spectral bar of signal of conversion n in the class of integrating converters. Application of methods of generation of pseudorandom signals is offered on the basis of recursive and with the mirror mutual reflection of binary digits generators. High-quality descriptions and type of distributing are definite as even. Methods are developed and the structures of analog-digital converters are resulted, and also sentinel diagrams of their functioning. Directions and applied tasks of effective application of method of Monte Carlo are definite.
KNOWLEDGE-BASED SIGNAL PROCESSING FOR RADAR IDENTIFICATION
Authors: Matuszewski Jan
Published: February 2021

The paper presents some aspects of radar signals acquisition in the electronic intelligence (ELINT) system, the analysis of their parameters, feature extraction using linear Karhunen-Loeve transformation and applying knowledge-based techniques to the recognition of the intercepted signals. The process of final emitter identification is based on “the knowledge-based approach” which was implemented during the processing of constructing the database.
LOW-COST, INTELLIGENT DATA ACQUISITION SYSTEM FOR QCM AND OTHER RESONATOR-BASED BIO- AND CHEMICAL SENSORS
Authors: Yurish Sergey Y.
Published: February 2021

A low-cost, intelligent data acquisition system for quartz crystal microbalance (QCM) and other (superficial SAW and bulk acoustic wave) resonator-based chemical and biosensors described in this article. The system is based on the novel modified method of the dependent count and allows obtaining high metrological performances: programmable and constant in all frequency range relative error of measurement up to 0,0005 % (5 ppm); nonredundant, reduced conversion time of measurement and wide frequency range from 0.05 Hz to 9 MHz (144 MHz with prescaling). The developed system allows measuring variations of the resonance frequency shift for QCM sensors working in liquids and gases. The described low-cost data acquisition system is based on novel integrated circuit of universal frequency-to-digital converter. This design approach has eliminated much of the hardware: there is no need for a microcontroller and complex sensor interfacing electronics, as it is directly compatible with PC computers.
WIRELESS DATA ACQUISITION SYSTEM USING BLUETOOTH TECHNOLOGY FOR INFRASONIC RECORDS
Authors: Chilo José , Lindblad Thomas
Published: February 2021

Advancements in electronics provide a vital new option for implementation of low-frequency smart sensors that can perform signal processing close to the sensors and transmit the data wirelessly. These smart sensors can improve the efficiency of an automatic classification system and reduce the cost of actual infrasound microphones. The design of a digital wireless data acquisition system using a QF4512 programmable signal converter from Quickfilter Technologies, a MSP430 microcontroller from Texas Instruments and a F2M03GLA Bluetooth module from Free2move for infrasonic records is presented in this paper. The digital wireless data acquisition system has passed extensive laboratory and field tests (e.g. with man-made explosions).
DISTRIBUTED REAL-TIME MEASUREMENT SYSTEMUSING TIME-TRIGGERED NETWORK APPROACH
Authors: Bilski Piotr , Winiecki Wiesław
Published: February 2021

The paper presents results of the examination of the deterministic network used by the distributed virtual instrument. Software technology applied to control measurement data transfer between the real-time components was presented. Configuration of the laboratory test stand, designed to examine deterministic network is described. Results of the research are presented and conclusions, as well as future prospects iterated.
MULTI-AGENT SIMULATION OF ATTACKS AND DEFENSE MECHANISMS IN COMPUTER NETWORKS
Authors: Kotenko Igor
Published: February 2021

The paper considers the approach to investigation of distributed cooperative cyber-defense mechanisms against network infrastructure oriented attacks (Distributed Denial of Service, network worms, botnets, etc.). The approach is based on the agent-based simulation of cyber-attacks and cyber-protection mechanisms which combines discrete-event simulation, multi-agent approach and packet-level simulation of network protocols. The various methods of counteraction against cyber-attacks are explored by representing attack and defense components as agent teams using the software simulation environment under development. The teams of defense agents are able to cooperate as the defense system components of different organizations and Internet service providers (ISPs). The paper represents the common framework and implementation peculiarities of the simulation environment as well as the experiments aimed on the investigation of distributed network attacks and defense mechanisms.
RSSI-BASED WLAN INDOOR POSITIONING USED WITHIN A DIGITAL MUSEUM GUIDE
Authors: Grossmann U. , Gansemer S. , Suttorp O.
Published: February 2021

As modern mobile devices are often equipped with a WLAN interface and many buildings are equipped with a WLAN infrastructure, WLAN could be used for localization. The aim of this work is to investigate the quality of different indoor positioning methods based on values of WLAN received signal strength index (RSSI) using commercially available devices (smart phones, personal digital assistants). Three positioning algorithms were considered: minimal Euclidian distance, intersections of RSSI-Isolines and a stochastic model based on Bayes' theorem. A measuring test bed within an empty seminar room, four different types of personal digital assistants (Dell, Fujitsu, HP, T-Mobile) and two types of access points (Netgear, Lancom) were used. No modification of hardware and software was conducted. Furthermore this paper shows how WLAN localization can be applied in a museum guide application. This paper also shows the visualization of spatial user position frequency pattern during a field trial within a museum.
NEGOTIATION AGENT BEHAVIORS BASED ON REINFORCEMENT LEARNING APPROACHES AND FUZZY ARTMAP NEURAL NETWORKS
Authors: Chohra Amine , Bahrammirzaee Arash , Madani Kurosh
Published: February 2021

Behaviors, in which the characters conciliatory, neutral, or aggressive define a ‘psychological’ aspect of human personality, play an important role for negotiation agent. Elsewhere, learning in negotiation is fundamental for understanding human behaviors and developing new concepts. In this paper, a negotiation strategy essentially based on such human personality behaviors is suggested for SISINE project which aims to develop innovative teaching methodology of negotiation skills. For this purpose, first, reinforcement learning (Q-learning and Sarsa-Learning) approaches are developed, analyzed, and compared in order to acquire the strategy negotiation behaviors. Second, a Fuzzy ArtMap Neural Network (FAMNN) is developed to acquire this strategy. Third, a Field Programmable Gate Array (FPGA) architecture is suggested for the FAMNN integration. The suggested strategy displays the ability to provide agents, through a basic buying strategy, with a first intelligence level in a social and cognitive system for learning negotiation strategies (human-agent and agent-agent).
ESTIMATING COMPLEXITY OF CLASSIFICATION TASKS USING NEUROCOMPUTERS TECHNOLOGY
Authors: Budnyk Ivan , Chebira Abdennasser , Madani Kurosh
Published: February 2021

This paper presents an alternative approach for estimating task complexity. Construction of a self-organizing neural tree structure, following the paradigm “divide and rule”, requires knowledge about task complexity. Our aim is to determine complexity indicator function and to hallmark its’ main properties. A new approach uses IBM © Zero Instruction Set Computer (ZISC-036 ®) and applies for a range of the different classification tasks.
IMAGE STRUCTURE ANALYSIS BY 3-STAGES CLUSTERING
Authors: Roman Roman , Tushnytskyy Ruslan
Published: February 2021

An approach for decomposition of visual images by clustering and breaking them down into geometric figures is considered. Multilevel hierarchical clustering algorithm to form three emphasized levels of clusters such as rectangles, closed regions and integrated areas is proposed. Advantages of such decomposition in three stages are as follows: images covered by rectangles are planned to be formatted and compressed, image fragments could be taken for the preliminary pattern recognition or could easily be corrected, hierarchically constructed fragments are good material to form pattern features for searching procedures. The algorithm complexity, the proposed approach of scanning searching area to reduce it, the rolling up criteria and key parameters for its control are investigated. The results of pattern analysis by structure features for some practical problems are presented in the article.
IEEE 1451.2-BASED SENSOR SYSTEM WITH JAVA-TEDS SOFTWARE TOOL
Authors: Rossi Silvano R. , Rodrigues da Silva Alexandre C. , Dos Santos Filho Tércio A.
Published: February 2021

This work presents the implementation of a microcontroller-based Smart Transducer Interface Module based on the IEEE 1451.2 standard and a Java-TEDS software tool development to generate the electronic data for each transducer channel implemented in the smart module. The module, with two transducer channels was implemented with a PIC16F876A® microcontroller and programmed in C language. A software support resource has been developed in order to generate the data for the Transducer Electronic Data Sheet descriptive memory. This software resource is fully based on Java language. When generated, the TEDS data blocks can be stored in the program memory module of the microcontroller. Methodology and results are presented and discussed.
THE BIS-GRID ENGINE: AN ORCHESTRATION AS A SERVICE INFRASTRUCTURE
Authors: Höing André , Scherp Guido , Gudenkauf Stefan
Published: February 2021

The need for information system integration is typical for many companies including small and medium-sized enterprises (SMEs). But especially for SMEs, the costs to run a full-fledged integration platform in-house are beyond the available IT budget. This article describes the concept of Orchestration as a Service (OaaS), a specialization of the Platform as a Service (PaaS) paradigm in the Cloud (computing) world. The goal of this paradigm is to provide a workflow-based integration platform as a (Cloud) service focusing on so-called service orchestrations. We present the BIS-Grid Engine as a core middleware for an OaaS infrastructure including a discussion about how our solution addresses security requirements that are a key issue in Cloud technologies.
AN ANALYSIS OF IMAGES BEFORE COMPRESSION IN PNG FORMAT
Authors: Shport'ko Alexander
Published: February 2021

An influence of predictor’s different variants and their combination on PNG image compression is examined in this article. Fragments in C programming language for estimation of pixel lines entropy before and after application of context-dependent algorithm have been presented. A method for image analysis before the compression through breakdown of pixel lines with close entropy values into minimum blocks is offered. The method is based on the choice of an effective compression variant from five possible ones for every minimum block using dynamic programming and on the combination of contiguous minimum blocks in the homogeneous blocks of lines and on adjustment of their code parameters. It is experimentally showed that the images analysis, for example, allows to decrease the continuous tone images compression aspect of Kodak True Color PNG format image set on the average up to 12,37 bpp.
META-IMAGE – A COLLABORATIVE ENVIRONMENT FOR IMAGE DISCOURSE
Authors: Dieckmann Lisa , Kliemann Anita , Warnke Martin
Published: February 2021

The aim of the project Meta-Image, funded by German Research Foundation (DFG), is to provide a networkbased research environment for art history and other sciences concerning visual culture. It consists of the two components prometheus and HyperImage. Meta-Image combines the distributed digital image archive prometheus, which consists of a very large pool of images, with HyperImage (http://www.hyperimage.eu), a tool for image annotation. prometheus provides over 700,000 images in nearly 60 connected image databases; Hyperimage facilitates collaborative work directly on the image. The numerous users, the secure legal context for use and the existing technologies for collaborative research make prometheus a perfect subject for HyperImage. This image annotation tool serves as an instrument to support research in art history. It allows the identification of motifs, the creation of linked image networks as well as the addition of metadata. This synthesis creates the ability to reorganise, juxtapose and annotate images in a way that can lead to new conclusions concerning image-based research. Art history and other cultural studies can finally realise the potential of the network based and collaborative analysis of images.
OPTIMIZATION OF PIECEWISE NON-LINEAR MULTI CONSTRAINED ECONOMIC POWER DISPATCH PROBLEM USING AN IMPROVED GENETIC ALGORITHM
Authors: Padmanabhan B. , SivaKumar R. S. , Jasper J.
Published: February 2021

In this paper, a more realistic formulation of the Economic Dispatch problem is proposed, which considers practical constraints and non linear characteristics. The proposed ED formulation includes ramp rate limits, valve loading effects, equality and inequality constraints, which usually are found simultaneously in realistic power systems. This paper presents a novel Genetic Algorithm to solve the economic load dispatch (ELD) problem of thermal generators of a power system. This method provides an almost global optimal solution, since they don’t get stuck at local optimum. The proposed method and its variants are validated for the two test systems consisting of 3 and 10 thermal units whose incremental fuel cost functions takes into account the valve-point loading effects.
The image of a woman in the traditional Kazakh worldview
Authors: Nurysheva Gulzhihan , Kaldayeva Banu
Published: February 2021

The article is devoted to the image of a woman in the traditional worldview of the Kazakh people. Traditional worldviews that are divided into historical types and the evolution of ideas and trends associated with the problem of women which took place at these stages are being studied. It is important to consider the problem of women in the context of the traditional worldview. This is due to the fact that trends and stereotypes about the social role of gender are formed on the basis of deeply rooted ideas that are traditionally passed down from generation to generation. These concepts have evolved over a long history of society and have different aspects: historical, social, economic, political, cultural, religious. Since the central core of all this is the worldview of people, it is important to analyze the image of a woman in the traditional worldview. This allows us to understand the evolutionary path of society's understanding of women's problems and its foundations. To preserve one's identity in the context of today's globalization, it is necessary to study the traditional system of values of the Kazakh people, the evolution of the system of ideas about the place and role of men and women in society, the historical experience of the people in relation to gender relations. In today's world, the globalization of culture and the national renaissance go hand in hand. In the culture of the 21st century, on the one hand, a common world culture of the whole planet is being formed, on the other hand, there is a growing interest in the cultural diversity of each nation and its development. The relationship between cultural heritage and modern culture is clearly reflected in the relationship between tradition and modernity in the image of today's Kazakh woman. Any culture is not established by force in a short time, the factors that regulate the culture of the people are formed over the centuries. Therefore, it is important to systematize the image of the Kazakh woman in modern culture, starting from the analysis of the image of mother in Kazakh mythology, motherhood in the Kazakh genealogy, the image of women in the heroic songs, as well as the image of women in the works of poets.
Keywords: image of a woman, traditional Kazakh worldview, essence of a woman, “the concept of a Kazakh woman”, folklore.
The fourth area of musicology (to the problem of the debatable discourse)
Authors: Baribayeva Aigerim , Sabyrova Aliya
Published: February 2021

The article reviews various schools of thought studying the Kazakh traditional music in Kazakhstan and abroad. The goal – to reveal different scientific areas of studying the Kazakh traditional music, to determine their significance in Kazakhstan and foreign ethnomusicology. There was a compelled cultural and scientific isolation of each country due to suspension of a book-exchange during the Perestroika (Reconstruction) period. As a result, each national school of ethnomusicology has gone its own way. Research in this area underline the need in the overall review of knowledge accumulated by schools of thought with a single representation. Authors give examples of review of various sources using a comparative-typological method, compare their significance and define the general trend of studying the Kazakh traditional music methods, and unite this knowledge in a uniform common school. Local and foreign sources of pre-revolutionary (end of XIX – beginning of ХХ centuries), Soviet and modern writers of the period of Independence of the Republic of Kazakhstan were used. Main existing areas of Kazakhstan musicology were assessed, and conclusions were drawn on the birth of Kazakh ethnoorganology. The main aspect of the article is a focus on emergence in XXI century of the problem of a new cycle in the Kazakhstan science, which presence we can assume because we have written sources about the Kazakh musical culture in foreign languages, and information on materials from far and near abroad. Authors, based on the concept of Alma Kunanbaeva, an ethnomusicologist, formulate new statements about opposition between the Russian-speaking and Kazakh-speaking schools,  supplementing it with opposition to foreign-language schools. As a result, an assessment was given to three main existing areas of the Kazakhstan musicology science and the emerging “Fourth” school, which has all prospects of further development not only in Kazakhstan, but also abroad. Examples were shown of a comparative study of sources of the pre-revolutionary period, and merits of each scientist were assessed. The conclusion was drawn on the birth of Kazakh ethnoorganology in the beginning of XX century.
Keywords: the Kazakh traditional music, ethnomusicology, school of thought, verbal tradition, foreign materials, the fourth school, the fourth science, an empirical method, a comparative-typological method, interdisciplinarity.
Estratégia para Classificação de Defeitos em Arranjos Fotovoltaicos através de Redes Neurais Artificiais
Authors: C. Maia Amanda , S. da Silva Guilherme , C. Mello Ana Paula
Published: February 2021

A curva característica de um módulo fotovoltaico é um importante critério para verificar as condições de operação de qualquer sistema fotovoltaico. E, para cada defeito que possa ocorrer em um arranjo fotovoltaico, a curva I-V tem um padrão alterando os parâmetros da curva característica. Este de-feitos em um sistema reduzem a potência gerada do arranjo, causam a diminuição na vida útil e ocasio-nam em danos irreversíveis nas células fotovoltaicas. Nesse contexto, este trabalho apresenta um sistema para verificar e classificar os defeitos de um arranjo fotovoltaico com a utilização de redes neurais artificiais.
Análise de Eficiência Energética Baseada no Consumo de Energia Elétrica em Escolas Públicas
Authors: A. Carneiro Fernando , S. Lafay Jean-Marc , É. Beck Klünger Arthur
Published: February 2021

Este trabalho consiste no desenvolvimento de um Pré-Diagnóstico (PD) para implantação de programa de eficiência energética em escolas públicas, classificadas como ineficientes energeticamente. Inicialmente realizou-se uma análise em faturas de energia elétrica de 75 escolas localizadas em 29 municípios, que atendem alunos nos níveis de educação infantil, ensino fundamental e médio, pertencentes à rede pública de ensino do Estado de Santa Catarina. A finalidade da pesquisa foi avaliar os indicadores de Eficiência Energética, embasados na relação entre consumo em kWh, por número de alunos, professores e por área útil construída, selecionando as sete escolas menos eficientes energeticamente. A revisão de literatura teve como base, livros técnicos na área de engenharia elétrica, de estatística, modelos de diagnósticos energéticos especificados em artigos e periódicos. Foram determinados os indicadores quantitativos de consumo, e na etapa posterior realizou-se o tratamento de dados, e ponderou-se os termos ausentes, durante o processo de classificação, aplicando a regressão linear, e posteriormente correlacionou-se com o intuito de explanar os resultados, por meio de gráficos e tabelas. Alguns dos resultados obtidos nesta fase do trabalho, demonstraram que, entre as sete escolas menos eficientes energeticamente, 60% estão instaladas no município com o Índice de Desenvolvimento Humano (IDH) mais elevado.
Electric Potential Calculation in Substation Fences
Authors: R. A. Coelho Rooney , B. C. Salles Mauricio , Martins Neto Luciano , Cardoso José Roberto
Published: February 2021

As referred to the safety of people, the metallic fence of a substation is an object of special care. The substation fence is subject to a potential rise as well as to direct contact with people and animals, which is a hazardous situation. The connection of the fence to the substations grounding grid, the sectioning of the fence through isolated parts and the design of a specific fence grounding system are then necessary items for a well-designed project. This paper presents the procedure for calculating the potential rise in a metallic fence, also a report of good fence designing practices, verifying such procedure with an example from the literature.
Análise de Diferentes cenários de Integração de Geração Intermitente na Microrrede Isolada da Ilha de Lençóis através de Modelagem no PSCAD/EMTDC
Authors: L. Barcelos Silvangela , Gomes de Matos José , De Souza Ribeiro Luiz Antônio
Published: February 2021

Microrredes podem ser definidas como sistemas elétricos de potência atendidos por fontes alternativas de energia em associação com alguns tipos de fontes despacháveis, que podem ser implementadas separadas ou não da rede elétrica convencional (microrrede isolada). Os índices de Qualidade de Energia Elétrica (QEE) de uma microrrede podem ser evidenciados através de estudos que visem caracterizar o estado de operação desse tipo rede diante de diferentes condições operacionais. Neste sentido, o objetivo deste trabalho é apresentar os resultados de análises do desempenho da Microrrede isolada instalada na Ilha de Lençóis através de uma representação dessa microrrede no software PSCAD/EMTDC. Serão mostrados resultados da análise de alguns perfis de carregamento e diferentes cenários de integração da geração intermitente.
Localização de Faltas de Alta Impedância em Alimentadores de Distribuição Utilizando Busca Exaustiva
Authors: F. Cavalari Carla , O. Mussi Caio , R. R. P. Araújo Débora , R. Araujo Leandro
Published: February 2021

A localização de faltas de alta impedância (ou high impedance faults - HIFs) é um desafio em sistemas de distribuição de energia, já que as cargas e fases geralmente são desequilibradas resultando em correntes de sequência zero e as correntes de defeito são de baixa intensidade, com isto, os sistemas convencionais de proteção muitas vezes não são capazes de detectar o defeito. Este trabalho apresenta um método para localizar faltas de alta impedância monofásicas baseado em busca exaustiva a partir de um banco de dados, o qual foi construído através de simulações de diversos cenários usando valores de tensão e corrente RMS. O algoritmo desenvolvido calcula a distância aproximada da HIF em relação ao início do alimentador. O método foi testado com o sistema IEEE 34 barras e se mostrou bastante preciso.
Localização e Dimensionamento Ótimos de Turbinas Eólicas para Minimizar as Perdas de Energia em Sistemas Radiais de Distribuição
Authors: Barros Dantas Felipe , Dantas de Lucena Matheus , Fernandes Júnior Damásio , Araújo Neves Washington Luiz
Published: February 2021

O sistema de distribuição vem sofrendo mudanças ao longo dos anos, principalmente no que diz respeito ao aumento da inserção da geração distribuída. Portanto, se faz necessário um estudo de localização ótima e de seu dimensionamento. A energia eólica é uma das que mais cresce no Brasil e foi escolhida para o presente estudo. Para resolver parte do problema da inserção das unidades geradoras no sistema de distribuição, foi elaborado um algoritmo de busca por meio da técnica de otimização chamada Algoritmo Genético e do Método da Soma de Potências. O objetivo é localizar e dimensionar turbinas eólicas nas barras dos sistemas para que possam reduzir as perdas de energia do sistema e melhorar o perfil de tensão, não ultrapassando os limites de tensão impostos pela ANEEL, nem ultrapassando 30% de penetração de geração eólica referente à demanda anual de energia. Os resultados obtidos demonstraram a eficácia e a viabilidade do método para o uso em sistemas de pequeno e grande porte.
Análise de desempenho da geração Fotovoltaica e Diesel em áreas remotas
Authors: Alves da Silva e Silva Paulo Henrique , E. de Oliveira Marcelo , A. A. de Freitas Marcos , B.S. Pinto Matheus , A. S. Junior Josemar
Published: February 2021

O fornecimento de energia elétrica em áreas remotas representa um dos problemas enfrentados pelos setores de energia. Diante desse cenário, a geração diesel tem sido válvula de escape para acesso a energia elétrica para consumidores localizados onde a capacidade de transmissão e distribuição de energia são dificultados pela localização. O barateamento dos preços de instalação da geração fotovoltaica diversificam o atual cenário e perfil de geração elétrica em aldeias e lugares desconectados do Sistema Interligado Nacional (SIN) de energia, possibilitando sistemas isolados e/ou híbridos. Para estes consumidores a qualidade da energia torna-se essencial devido a utilização de motores, sistemas de irrigação e automação em fazendas ou aldeias. Dessa forma, este trabalho apresenta análise de desempenho para ambas gerações e operando em conjunto (híbrida), observando os níveis de distorção harmônica para tensão e corrente em cada cenário.
Computer Modeling and Analysis of a Hybrid Renewable Energy System Grid-Connected Using Homer Pro
Authors: Marques de Carvalho Cleiton , G. Medina Daniel Orlando , Calixto Lopes José , Sousa Thales
Published: February 2021

Renewable energy generation has attracted a lot of attention in recent years. Among the most used sources in this context, Photovoltaic Solar and wind have presented the highest growth in recent years. Considering the new topologies and possibilities that arise with the evolution of technology, the Hybrid Renewable Energy System has been widely explored, being an excellent alternative in the new ways of generating energy in the future. Similarly, the traditional concept of centralized power systems has been replaced by distributed power generation levels. Thus, this work proposed to perform a technical and economic feasibility analysis in order to examine the possibility of an HRES composed by wind and solar sources, connected to the grid. For the development of the study, it was used a methodology based on computational modelling and simulation in HOMER Pro.
Utilização de Controladores de Corrente para Rastreamento do Ponto de Máxima Potência em Arranjo Fotovoltaico
Authors: C. Moreira Davi , S. Brasil Alexandre , V. A. Nunes Marcus
Published: February 2021

Este artigo apresenta o rastreamento de ponto máxima potência (MPPT) de arranjo fotovoltaico (PV) usando controle de corrente convencional baseado em medições de corrente, irradiância e temperatura. Foi realizada modelagem do arranjo PV conectado a um conversor CC-CC do tipo Boost e controles de corrente tipo histerese independente e proporcional-integral foram implementados para rastreamento de ponto máxima potência após variações abruptas de irradiância. O desempenho dos métodos utilizando controles de corrente foram comparados com um método de inteligência artificial, lógica de controle fuzzy, escolhido pelo seu desempenho estável e robusto nos mais diversos processos. A comparação entre as técnicas considerou o erro de estado estacionário, a resposta dinâmica e a eficiência em uma ampla faixa de potência. O MPPT Hist Indep e MPPT PI realizaram rastreamento do ponto de máxima potência de forma eficiente e precisa e suas vantagens e desvantagens em relação ao MPPT Fuzzy foram discutidas.
Restabelecimento de Sistemas de Distribuição - Abordagem Hibrida de Algoritmo Genético e Busca local
Authors: A. da Mata Diego , Bessani Michel
Published: February 2021

Nesse trabalho é abordado o problema de restabelecimento de sistemas de distribuição de energia elétrica (RSDEE). Uma introdução do problema é apresentada juntamente com uma breve discussão sobre estrategias para tratar o problema. A utilização de um algoritmo genético hibrido com busca local é proposta visando encontrar boas soluções em pouco tempo. Experimentos são realizados com as redes IEEE 14 bus test case e case 30 do MATPOWER, indicando que a abordagem híbrida resulta em melhor performance quando comparada a uma abordagem sem a busca local.
Modelagem de um sistema de distribuição real desbalanceado e análise do impacto da geração distribuída utilizando o software OpenDSS
Authors: Borges Andrade Vinicius , C. Paixão Jr. Ulisses , E. Moreira Carlos , M. Soares Thiago , M. Tabora Jonathan , Emília de L. Tostes Maria , H. Bezerra Ubiratan , S. Albuquerque Bruno , Da S. Gouveia Luciano
Published: February 2021

O presente trabalho utiliza o software OpenDSS para modelar uma rede elétrica de distribuição, capaz de simular o comportamento da rede elétrica e os impactos na qualidade de energia elétrica de acordo com as diferentes topologias de transformadores, cargas e fontes de geração distribuída em que uma rede elétrica pode ser submetida. Como estudo de caso, o artigo utiliza dados reais da rede da Universidade Federal do Pará e a inserção de geradores solar fotovoltaicos em diferentes pontos da rede, como demonstração do impacto na redução da potência ativa, na elevação do nível de tensão e na redução de perdas elétricas de acordo com a inserção da geração distribuída (GD) na rede elétrica estudada.
A Kalman filter based MPPT algorithm
Authors: T. S. Neto Domingos , B. C. Salles Maurício , D. P. Salazar Pablo , R. Cardoso José
Published: February 2021

The sun is a plenty and popular source of renewable energy. To transform solar energy into electricity it is necessary to use photovoltaic (PV) panels which in turn have flow efficiency and therefore do not provide maximum power. Maximum power depends on temperature and solar radiation. Changes in these  environmental factors require an algorithm to find the Maximum Power Point (MPP) where maximum power can be extracted. The algorithm is called the Maximum Power Point Tracking (MPPT). Through MatLab=Simulink the MPPT algorithm based on the Kalman Filter was implemented. The MPPT algorithm is essential for the maximum use of solar energy and therefore plays an important role for the feasibility and competitiveness of PVs in renewable energy. This article proposes a MPPT based on the kalman filter that has the advantage of efficiently estimating variables based on measurements with statistical noise, in this case measurements of solar irradiation and temperature. The results show efficiency because the relative errors are less than 1.13% compared to results obtained from simulink.
Índice para Avaliação da Coordenação e Seletividade da Proteção em Sistemas de Distribuição
Authors: C. B. Ferri Ruy , P. de Morais Adriano , Cardoso J. Ghendy , C. B. de Araújo Olinto , C. Marchesan Adriano
Published: February 2021

Este trabalho apresenta um índice para a avaliação do desempenho da proteção dos sistemas aéreos de distribuição em relação à coordenação e seletividade. Por meio deste, são apresentados alguns dos principais critérios adotados nos estudos de proteção para religadores e elos fusíveis. A metodologia para a aplicação do índice é demonstrada e o mesmo é utilizado em um sistema teste para mostrar o seu funcionamento e utilidade.
Análise de Veículos Elétricos a Bateria no Brasil: Uma Abordagem SWOT
Authors: M. Mena Rafael , L. Santos Milana , A. Saidel Marco
Published: February 2021

Os veículos elétricos a baterias estão ganhando destaque como alternativa de mobilidade. No início da história automotiva, eles perderam espaço para os veículos movidos por motores a combustão interna; entretanto, novos progressos estão permitindo a reintrodução e até mesmo ampla adoção em certos países e regiões. No contexto brasileiro, há incertezas acerca de uma eventual transição para esta nova rota tecnológica. Através de análise SWOT (forças, fraquezas, oportunidades e ameaças), serão avaliados os fatores que impactam a competividade desta tecnologia no Brasil.