bluuebunny/crossref_metadata_2025 huggingface dataset:
EVOLUTIONARY ENVIRONMENT FOR 3D MORPHOLOGICAL DESIGN
Authors: Lamas A. , Duro R. J.
Published: February 2021

This paper deals with the automation of morphological design. The system proposed here is a part of a complete automatic design system that considers the divergent and convergent stages of the design process through evolutionary procedures. The system provides a way to introduce aesthetics in the decision process. This is a difficult problem within an automatic design system, as aesthetics are subjective, depend on the opinions of humans and humans do not usually agree. The objective here is to be able to obtain the best possible aesthetic solutions for a given set of humans. This is achieved through the introduction of a set of man machine interfaces that allow the system to extract information on their relative opinions without explicitly asking them, and combines them with the engineering information provided by other simulators that participate in the design process.
SOM BASED DECISION SUPPORT IN FAILURE MANAGEMENT
Authors: Sirola Miki , Lampi Golan , Parviainen Jukka
Published: February 2021

Computerized decision support system field covers many methodologies and application areas. In this paper Self-Organizing Map (SOM) and knowledge-based techniques are used in combination to reason problematic situations in failure management. A process model that consists of individual connected process components has been developed. A primary circuit of a boiling water nuclear power plant including two branches has been composed. A failure management scenario is thoroughly analyzed and solved with the SOM based decision support system. The structure and reasoning of the Computerized Decision Support System (CDSS) is also shortly discussed. The process model is demonstrated together with the CDSS and shown to be useful. The tool helps operators decision making with various visualizations, and by giving concrete recommendations for possible control actions or other acts.
METHOD OF HYSTERESIS CALCULATION IN A HYSTERESIS CONTROL CURRENT REGULATOR WITH CURRENT REFERENCE ADAPTATION
Authors: Koschinsky Stanislav , Tey Dmitry
Published: February 2021

In this paper hysteresis adaptation method is presented. It provides the algorithm to calculate hysteresis value equal to the maximum pulsation of current. This allows decrease disadvantage of hysteresis regulator with clocked commutation in application with variable reference.
MATERIAL FLOW ANALYSIS AND PLANT LAY-OUT OPTIMIZATION OF A MANUFACTURING SYSTEM
Authors: Longo Francesco , Mirabelli Giovanni , Papoff Enrico
Published: February 2021

The paper proposes the results of a research project developed by the authors in collaboration with a production system working in the field of manufacturing wood products. The first step of the project was an accurate analysis of the system and the design of new production documents in order to collect data about the system itself. The collected data have been used to propose an initial solution of plant lay-out. The second step of the project was the construction of a simulation model. The model has been used to find an optimal plant- layout configuration by means of genetic algorithms with the goal of material handling cost and shop order flow time minimization.
REGION-BASED CLASSIFICATION OF ELECTRO-OPTICAL IMAGES WITH NEURAL NETWORKS AND FUZZY LOGIC
Authors: Petrosyuk Iryna , Zaichenko Yuri
Published: February 2021

This paper reports on a novel approach to the optical information processing for the hyperspectral remote sensing systems by means of developed unification algorithm of the two mathematical tools: the fuzzy logic and the neural network. New neuro-fuzzy classification algorithm for hyperspectral remote sensed images has been proposed. It is able to replace complicated empirical formulae, which require the knowledge of dependences of many input parameters that rapidly change during of range time and difficult for crisp determination.
AN AGENT APPROACH FOR PROVIDING SECURITY IN DISTRIBUTED SYSTEMS
Authors: Kussul Nataliya , Shelestov Andriy , Skakun Serhiy
Published: February 2021

In this paper an agent approach for providing security in distributed systems such as computer networks, Grid systems is presented. This approach envisages on-line and off-line monitoring in order to analyze users’ activity. The monitoring is done with the use of intelligent methods, namely neural networks.
A MODULAR NEUROCONTROLLER FOR A SENSOR-DRIVEN REACTIVE BEHAVIOR OF BIOLOGICALLY INSPIRED WALKING MACHINES
Authors: Manoonpong Poramate , Pasemann Frank , Roth Hubert
Published: February 2021

In this article, a modular neurocontroller is presented. It has the capability to generate a reactive behavior of walking machines. The neurocontroller is formed on the basis of a modular structure. It consists of the three different functionality modules: neural preprocessing, a neural oscillator network and velocity regulating networks. Neural preprocessing is for sensory signal processing. The neural oscillator network, based on a central pattern generator, generates the rhythmic movement for basic locomotion of the walking machines while the velocity regulating networks change the walking directions of the machines with respect to the sensory inputs. As a result, this neurocontroller enables the machines to explore in- and out-door environments by avoiding obstacles and escaping from corners or deadlock situations. It was firstly developed and tested on a physical simulation environment, and then was successfully transferred to the six-legged walking machine AMOS-WD06.
HANDWRITTEN SCRIPT AND WORD RECOGNITION – A VIEW-BASED APPROACH
Authors: Tabedzki Marek , Saeed Khalid
Published: February 2021

This paper presents a hybrid system for character and word recognition. It is based on a modification to the view-based approach presented in authors’ previous works. The algorithm is appropriate for dealing with whole, unsegmented words or isolated characters. The characteristic vectors taken from views of the tested image are processed with the method of minimal eigenvalues of Toeplitz matrices. The obtained series of minimal eigenvalues are used for classification with Artificial Neural Networks. The results of the experiments on different sets of words and letters are presented.
ESTIMATION OF THE CROSS CORRELATION BASED OPTICAL FLOW FOR VIDEO SURVEILLANCE
Authors: Sadykhov Rauf , Lamovsky Denis
Published: February 2021

This paper describes a new algorithm to calculate cross-correlation function. We combined box filtering technique for calculation of cross correlation coefficients with parallel processing using MMX/SSE technology of modern general purpose processors. We have used this algorithm for real time optical flow estimation between frames of video sequence. Our algorithm was tested on real world video sequences obtained from the cameras of video surveillance system.
A NEW SYMMETRY APPROACH FOR FRONTAL-VIEW FACE DETECTION
Authors: Saad El_Sayed M. , Hadhoud Mohiy M. , Moawad Moawad I. , El_Halawany Mohamed , Abbas Alaa M.
Published: February 2021

An efficient algorithm for detecting frontal-view faces in color images is proposed. The proposed algorithm has a special task; it detects faces in the presence of skin-tone regions (human body, clothes, and background) Firstly, a pixel based color classifier is applied to segment the skin pixels from background. Next, a hybrid cluster algorithm is applied to partition the skin region. We introduce a new symmetry approach, which is the main distinguishing feature of the proposed algorithm. It measures a symmetrical value, searches for the real center of the region, and then removes the extra unsymmetrical skin pixels. The cost functions are adopted to locate the real two eyes of the candidate face region. A template matching process is preformed between an aligning frontal face model and the candidate face region as a verification step. Experimental results reveal that our algorithm can perform the detection of faces successfully under wide variations.
RISING OF THE TEXT DOCUMENTS SEARCH PRECISION BY USING THE ADAPTIVE ONTOLOGY
Authors: Darevych Romana
Published: February 2021

Conceptual graphs are an effective tool for representation of the semantic content of text documents and domain ontology as well. In this article the new method of evaluation of text documents content similarity is proposed. The method consists in representation compared texts as its weighted conceptual graphs supplemented by related context from domain ontology and estimation of a distance between semantic weights centers of these graphs. It is shown that the method satisfies axioms of a metric. Procedures of the automatic tuning of ontology to the specified domain and information needs of user are developed. The results of experiment shows that the taking into account semantics of the used concepts, assertions and significance coefficients from adaptive ontology during the text processing rises the search precision on average 20 %.
INTERVAL STRUCTURES AND THEIR USING
Authors: Shilo Galina
Published: February 2021

Properties of interval structures with floating intervals, scopes and linked intervals are explored. For the evaluation of regions of change of interval parameters of elements and sizes of the external influencing branchy interval structures are offered. The methods of transformation of interval structures and their application in the tasks of choice of elements of electronic vehicles are considered.
THE ACCURACY OF ALGORITHMS FOR WLAN INDOOR POSITIONING AND THE STANDARDIZATION OF SIGNAL RECEPTION FOR DIFFERENT MOBILE DEVICES
Authors: Grossmann Uwe , Schauch Markus , Hakobyan Syuzanna
Published: February 2021

Often mobile devices like mobile phones or personal digital assistants (PDA) are equipped with IEEE 802.11 WLAN adapters. Furthermore, within many buildings a WLAN infrastructure is available. 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 (mobile phones, PDA). Three positioning algorithms were considered: minimal Euclidian distance, intersections of RSSI-Isolines and a stochastic model based on Bayes' theorem. Two measuring testbeds, a museum's exhibition room and an empty seminar room, four different types of PDA (Dell, Fujitsu, HP, T-Mobile) and two types of access points (Netgear, Lancom) were used. Results show that positioning can be achieved with an average accuracy of approx. 2-3 metres. WLAN capable mobile devices behave differently in receiving RSSI values of a base station. For reasons of standardization a linear correlation between different receiving levels of PDA was investigated.
DISTRIBUTED ON-LINE TEMPERATURE MEASUREMENT and CONTROL SYSTEM
Authors: Hrusha Volodymyr , Olexandr Olexandr , Sachenko Anatoly , Kochan Roman
Published: February 2021

There is founded reasonability of implementation of measurement and control system with internet capability and proposed structure of its software in this paper. The main features of proposed structure are in its portability to system with different hardware structure. Also there is presented of investigation of dynamic characteristics of real time control system.
FORMALIZATION OF SEARCH CONTEXT ON BASE OF ONTOLOGIES AND MULTILINGUISTIC THESAURUSES
Authors: Gladun Anatoly , Rogushina Julia
Published: February 2021

For more relevant informational retrieval and matching of user request with metadata about informational recourses it is necessary to formulize the user knowledge about subject domain of search. We propose to use the ontologies and associated with them thesauri of the appropriate subject domains for representation of domain knowledge. The algorithms of formation and normalization of the multilinguistic thesauruses, and also methods of their comparison are given in this work.
SIMULATION SERVICE PROVIDING IN A DISTRIBUTED SIMULATION ENVIRONMENT
Authors: Cheptsov Alexey
Published: February 2021

Simulation of complex dynamic systems is an interdisciplinary problem. To solve this problem the author suggests a distributed simulation environment as a new form of simulation means system organization that provides web-based distributed simulation of engineering and industrial tasks as simulation services using Discrete Event Simulation Framework on the basis of Grid infrastructure. The Unified Process of Simulation Services Development based on Unified Modeling Language is proposed.
OPTIMAL DISIGN OF ENERGY SUPPLY NETS ON GRAPHS
Authors: Nikulshin Vladimir , Von Zedtwitz Viktoria
Published: February 2021

In the design and operation of energy intensive systems, the possibility of improving the system’s efficiency is very important to explore. The main way of improving efficiency is through optimisation. This paper describes the application of exergy topological models and, in particular, the graph of thermoeconomical expenditure for thermoeconomical optimal design s of circled nets for energy supply (CNES). The questions of thermoeconomical optimisation of CNES, as well as suggested modelling algorithms, are illustrated in the numerical example of the optimisation of a energy supply system for a city with seven regions of energy consumption.
SELECTING KDD FEATURES AND USING RANDOM CLASSIFICATION TREE FOR PREDICTING ATTACKS
Authors: Beghdad Rachid
Published: February 2021

The purpose of this study is to identify some higher-level KDD features, and to train the resulting set with an appropriate machine learning technique, in order to classify and predict attacks. To achieve that, a two-steps approach is proposed. Firstly, the Fisher’s ANOVA technique was used to deduce the important features. Secondly, 4 types of classification trees: ID3, C4.5, classification and regression tree (CART), and random tree (RnDT), were tested to classify and detect attacks. According to our tests, the RndT leads to the better results. That is why we will present here the classification and prediction results of this technique in details. Some of the remaining results will be used later to make comparisons. We used the KDD’99 data sets to evaluate the considered algorithms. For these evaluations, only the four attack categories’ case was considered. Our simulations show the efficiency of our approach, and show also that it is very competitive with some similar previous works.
BIOMEDICAL IMAGE SEARCH AND RETRIEVAL ALGORITHMS
Authors: Berezsky O. , Melnyk G. , Batko Yu.
Published: February 2021

In this paper algorithm for search the tumour cells images in a database is developed. This algorithm based on shape and colour image features.
DEVELOPMENT RESULTS OF WIRED SPECIALIZED DIGITAL INFORMATION TRANSMISSION SYSTEMS CREATION
Authors: Shokalo V. M. , Tsopa O. I. , Maslyi V. V.
Published: February 2021

Conception of special digital information transmission systems (SDITS) creation and results of decision of Ukraine actual scientifically-applied problem of domestic connection apparatus development is presented on the basis of xDSL technologies for the existent wired communication channels. The example of specialized information system development for UMIA is presented in thesis.
MODEL-DRIVEN CLOCK FREQUENCY SCALING FOR CONTROL-DOMINATED EMBEDDED SYSTEMS
Authors: Karakehayov Zdravko
Published: February 2021

This paper introduces a combination of models and proofs for optimal power management via clock frequency scaling. The approach is suitable for systems on a chip or microcontrollers where a processor runs in parallel with embedded peripherals. Since the methodology is based on clock rate control, it is very easy to implement. A hardware model, a computational model and an energy model underlie the procedure. We proved that the combination of models is sufficient to determine an optimal clock rate for the CPU. Furthermore, we expand the application space taking into account preemption of tasks. Also, we discuss the role of embedded peripherals when select the clock frequency in both active and power-saving modes. Simulation results manifest the benefits of clock rate control under the proposed methodology. An example shows a 56% increase of the battery lifetime when the clock rate is changed from the lowest possible level to the optimal value.
MEDIA ENGINEERING WITH A CONTENT HUB SYSTEM. GENERIC CONTENT TRANSFORMATION FOR MOBILE MEDIA
Authors: Herzog Michael A. , Trier Matthias
Published: February 2021

A primary problem in multimedia content production is the plethora of formats and the resulting multiple point-to-point transformation processes in different content formatting specifications. However, these content transformation processes can be conceptually broken down into a limited set of abstract principles. This allows a unified approach that theoretically enables the transformation of any given input channel into any desired output. Based on this principle, the present article introduces the concept of Generic Content Transformation and the related project MOCCA, which develops the corresponding software implementation of generic content transformation for a variety of input and output channels. To balance technical similarities with specific properties of different media channels, we suggest a combination of an XML-based structure (MocML) and a high level authoring environment. Generic Content Transformation further allows for novel means of accessing assets via compound search algorithms. In the second part we summarize and discuss current results and experiences in three scenarios of media production, including mobile media.
COMBINING BAYESIAN NETWORKS AND ROUGH SETS: FURTHER STEP TOWARDS REASONING ABOUT UNCERTAINTY
Authors: Zalewski Janusz , Wierzchoń Sławomir T. , Pfister Henry L.
Published: February 2021

This paper discusses a combination of Bayesian belief networks and rough sets for reasoning about uncertainty. The motivation for this work is the problem with assessment of properties of software used in real-time safety-critical systems. A number of authors applied Bayesian networks for this purpose, however, their approach suffers from problems related to calculating the conditional probability distributions, when there is scarcity of experimental data. The current authors propose enhancing this method by using rough sets, which do not require knowledge of probability distributions and thus are helpful in making preliminary evaluations, especially in real-time decision making. The combination of Bayesian network and rough sets tools, Netica and Rosetta, respectively, is used to demonstrate the applicability of this method in a case study of the Australian Navy exercise.
TEXTURE CLUSTERING OF SATELLITE IMAGES USING SELF-ORGANIZING NEURAL NETWORK
Authors: Lukashevich M. M. , Sadykhov R. Kh.
Published: February 2021

The goal of this paper is to present a texture clustering system for remote sensing image data. Texture information is useful for image data browsing and retrieval. Authors present the results of self-organizing neural network design for solving the clustering task of gray scale remote sensing image data. The architecture of neural network and the learning algorithms for this network such as: algorithm WTA (Winner Takes All), algorithm CWTA (Winner Takes All with Conscience) and classic Kohonen algorithm WTM (Winner Takes Most - the Winner receives more) are considered. Some experimental results using textures of the Brodatz album, multi-spectral and radar images are also represented.
NEURAL-NETWORK SEGMENTATION OF ELECTROENCEPHALOGRAM SIGNALS FOR EPILEPTIFORM ACTIVITY DETECTION
Authors: Bezobrazova Svetlana , Golovko Vladimir
Published: February 2021

A goal of EEG signals analysis is not only human psychologically and functionality states definition but also pathological activity detection. In this paper we present an approach for epileptiform activity detection by artificial neural network technique for EEG signal segmentation and for the highest Lyapunov’s exponent computing. The EEG segmentation by the neural network approach makes it possible to detect an abnormal activity in signals. We examine our system for segmentation and anomaly detection on the EEG signals where the anomaly is an epileptiform activity.
IMPLEMENTATION OF NEURAL NETWORKS AND BOOSTING ALGORITHMS FOR EFFECTIVE INTRUSION DETECTION
Authors: Golovko Vladimir , Vaitsekhovich Leanid
Published: February 2021

In this article the classification task in the domain of intrusion detection is considered. Often a chosen algorithm is not good enough for practical use. So the question arises how is it possible to improve the performance? In this case we can employ so-called Committee Machines that increase accuracy and reliability of the base classification model. These advantages are the result of dividing complex computational problems among several experts. The knowledge of each expert influences on the general conclusion of Committee Machine.
AN NUMERICAL METHOD BASED ITERATIVE PROCESS TO CHARACTERIZE MICROWAVE PLANAR CIRCUITS
Authors: Tellache Mohamed , Lamhene Youcef , Haraoubia Brahim , Baudrand Henri
Published: February 2021

In the present work, the modeling of microwaves planar circuits is proposed with an original method based on the Waves Concept Iterative Process (WCIP). It consists in the development of simulation software based on an iterative method. The iterative method is developed from the fast modal transform on a two-dimensional fast Fourier transform (FFT) algorithm. The method has been applied to the characterization and the modeling of patch antennas with notches in microstrip and coplanar technology and the quarter wavelength directive coupler. The obtained results are very powerful and successfully compared to others methods in term of time and reliability of convergence and particularly the accuracy of the results obtained in comparison with previous works.
ACTIVE SYSTEM MANAGEMENT UNDER UNCERTAINTY
Authors: Shakah G. , Krasnoproshin V. V. , Valvachev A. N.
Published: February 2021

The paper describes the use of fuzzy set theory and theory of active systems for constructing systems that manage geographically distributed organizations under uncertainty. Unification algorithms for fuzzy data and their use for choosing management of distant objects are presented.
RELIABLE AND EFFICIENT PARALLEL COMPUTING ON THE BASE OF MULTIAGENT SYSTEM
Authors: Otwagin Aleksej
Published: February 2021

Basic principles of reliable parallel computations are considered. The parallel program is represented as a graph computation schema, that executed by unreliable computing system with possible node faults. For organization and optimization of parallel processing a kind of multiagent architecture was used. The proposed solution uses the principles of runtime evolutionary optimization to increase performance characteristics.
NEUROCOMPUTER BASED COMPLEXITY ESTIMATOR OPTIMIZING A HYBRID MULTI NEURAL NETWORK STRUCTURE
Authors: Budnyk Ivan , Bouyoucef El khier , Chebira Abdennasser , Madani Kurosh
Published: February 2021

This paper presents application of ZISC© IBM® neurocomputer based approach for estimating task complexity within T-DTS framework. T-DTS (Tree-like Divide To Simplify) is Hybrid Multiple Neural Networks software platform which constructs a neural tree structures of a complex problem following the paradigm “divide” and “conquer”. Complexity estimator modules are the core of this framework. One of them is ZISC© IBM® complexity estimator that has been recently applied to T-DTS. The global aim of this research work is to increase T-DTS performance in terms of generalization and learning abilities. In this paper we demonstrate matchless ZISC© IBM® based neurocomputer complexity estimator effect on database decomposition and searching for optimal T-DTS adjustment of complexity threshold.
AN IMPROVED ARCHITECTURE FOR COMPETITIVE AND COOPERATIVE NEURONS (CCNS) IN NEURAL NETWORKS
Authors: Kamrul Islam M.
Published: February 2021

In neural networks, the associative memory is one in which applying some input pattern leads to the response of a corresponding stored pattern. During the learning phase the memory is fed with a number of input vectors and in the recall phase when some known input is presented to it, the network recalls and reproduces the output vector. Here, we improve and increase the storing ability of the memory model proposed in [1]. We show that there are certain instances where their algorithm can not produce the desired performance by retrieving exactly the correct vector. That is, in their algorithm, a number of output vectors can become activated from the stimulus of an input vector while the desired output is just a single vector. Our proposed solution overcomes this and uniquely determines the output vector as some input vector is applied. Thus we provide a more general scenario of this neural network memory model consisting of Competitive Cooperative Neurons (CCNs).
DIRECT AND INDIRECT CLASSIFICATION OF HIGH FREQUENCY LNA GAIN PERFORMANCE – A COMPARISON BETWEEN SVMS AND MLPS
Authors: Hung Peter C. , McLoone Seán F. , Farrell Ronan
Published: February 2021

The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associated with bringing high frequency signals offchip. One possible strategy for circumventing these difficulties is to inferentially estimate the high frequency performance measures from measurements taken at lower, more accessible, frequencies. This paper investigates the effectiveness of this strategy for classifying the high frequency gain of the amplifier, a key LNA performance parameter. An indirect Multilayer Perceptron (MLP) and direct support vector machine (SVM) classification strategy are considered. Extensive Monte-Carlo simulations show promising results with both methods, with the indirect MLP classifiers marginally outperforming SVMs.
ASSOCIATIVE MEMORIES NETWORK FOR FACE RECOGNITION AND OBJECT RECOGNITION
Authors: Vazquez Roberto A. , Sossa Humberto
Published: February 2021

An associative memory (AM) is a special kind of neural network that allows associating an output pattern with an input pattern. Some problems require associating several output patterns with a unique pattern. Classical associative and neural models cannot solve this simple task and less if these patterns are complex images, for example faces. In this paper a network of AMs to recall a collection of patterns is proposed. The accuracy of the proposal is tested with two benchmarks. One is composed by 20 objects and the other is composed by 20 images of 15 different people faces. First the all, the benchmarks are split into several collections and then this collections are used to train the network of AMs. During training an image of a collection is associated with the rest of the images belonging to the same collection. Once trained the network we expected to recover a collection of images by using as an input pattern any image belonging to the collection.
FACE DETECTION ON GRAYSCALE AND COLOR IMAGES USING COMBINED CASCADE OF CLASSIFIERS
Authors: Kurylyak Yuriy , Paliy Ihor , Sachenko Anatoly , Chohra Amine , Madani Kurosh
Published: February 2021

The paper describes improved face detection methods for grayscale and color images using the combined cascade of classifiers and skin color segmentation. The combined cascade with proposed face candidates’ verification method allows achieving one of the best detection rates on CMU test set and a high processing speed suitable for a video flow processing. It’s also shown that the mixture of color spaces is more efficient during the skin color segmentation than the application of one color space. A lot of experiments are made to choose rational parameters for the developed face detection system in order to improve the detection rate, false positives’ number and system’s speed.
TRIANGULAR DISCRETISATION FOR ANALYSIS OF MICROSTRIP MITRED BEND, BY AN ITERATIVE METHOD USING THE FAST MODAL TRANSFORM
Authors: Lamhene Y. , Tellache M. , Haraoubia B. , Baudrand H.
Published: February 2021

In this paper, a study based on iterative method is presented. This method consists in generating a recursive relationship between a wave source and reflected waves from the discontinuity plane which is divided into cells. A high computational speed has been achieved by using Fast Modal Transform (FMT). This work is followed by an application of triangular discretization which offers several advantages over rectangular discretization. The right bend can be simulated by both rectangular and triangular cells, while the mitred bend can be exactly conformed only by the triangular mesh. Deficiencies in the rectangular approximation are identified. The computed results have been successfully compared with published data.
GPRS-BASED REMOTE SENSING AND CLIMATE CONTROL SYSTEM USING CMOD CPLD
Authors: El-Medany Wael M.
Published: February 2021

This paper presents the design and VLSI hardware implementation of a remote sensing system for humidity and temperature in real time. The remote monitoring of the system based on a web design by using GPRS (General Packet Radio Service) network. Since full custom ASIC design takes long time with high cost, programmable logic devices as a programmable ASIC is a better choice for rapid design process and reasonable prices. The design has been described using VHDL (VHSIC Hardware Description Language), and then implemented in hardware using CoolRunner2 CPLD from Xilinx to achieve low cost with rapid prototyping. The design has been simulated and synthesized using Xilinx ISE 6.2i software tools, then test in hardware level using Digilent Spartan 3 starter kit as a hardware tools. The design offers a complete, low cost, powerful and user friendly way of 24 hours real time monitoring system.
STRUCTURAL-ALGORITHMIC MEAN OF THE AUTOMATED PLANNING OF CALCULABLE MODELS
Authors: Gorbatyuk Anatoliy , Gorbatyuk Sergey
Published: February 2021

The present paper is devoted to the scientific and technical solution of an actual problem of developing models and methods of the structural-algorithmic organization of parallel computing processes for enhancement of efficiency of computer systems. The method of algostructural designing of computing models has been proposed. It performs automated design of model by using library algostructures and connections among them. The algostructural models reconstruction method which provides structuring on the base of equal transformations has been improved. The calculation paralleling method in algostructures has been developed. It accounts for structure-algorithmic organization of the models and provides a calculation optimization and allows a calculation time to be decreased, available technological resources to be effectively used. The method of structural reconfiguration in problem-oriented algostructural construction is in progress development. The automated design technology of algostructural models is in progress development. The proposed technology provides effective designing of computing models.
IMAGE CLASSIFICATION BY PATTERN AND STRUCTURE FEATURES CLUSTERING
Authors: Melnyk Roman , Tushnytskyy Ruslan
Published: February 2021

An approach for decomposition of visual images by clustering and pattern classification by structure features is considered. Multilevel hierarchical clusters such as rectangles, closed regions and integrated areas are proposed. Hierarchically constructed fragments are material to form pattern structure features. To reduce the clustering algorithm complexity the tolerance coefficient and quality criteria for merging process are proposed. The results of pattern classification by structure features for some image groups by hand and automatic regimes are presented in the article. Hierarchical trees are got for different number of structure coefficients as well as for absolute and relative merging functions.
ENTERPRISE – UNIVERSITY FEDERATION AS DISTRIBUTED MEASUREMENT SYSTEM LABORATORY
Authors: Elenkov Andrey Angelov
Published: February 2021

Federation allows a user to associate two accounts with each other. In this paper one account is the enterprise, the other one is the university. The student is the user which associates the two accounts. The goal is the student’s education from the university, for the enterprise’s needs, using enterprise’s infrastructure, especially enterprise distributed measurement system. A federation scenario for a distributed measurement system laboratory is discussed and a test system is built to test this scenario.
SOME ASPECTS OF INCREASING THE PROCESSING POWER OF THE DIGITAL SIGNAL PROCESSORS
Authors: Palagin Alexander , Semotiuk Miroslav , Vizor Yaroslav , Chichirin Eugeniy
Published: February 2021

An analysis of the non-linear equation solving methods used by the arithmetic units of the computing devices was conducted in order to facilitate creation of the arithmetic units which would be optimal in terms of processing power and hardware overhead. A method and algorithm of a hardware implementation of computing the particular and the reciprocal in the digital signal processors at higher speed and minimal hardware overhead.
PARALLEL MINING OF LARGE MAXIMAL BICLIQUES USING ORDER PRESERVING GENERATORS
Authors: Nataraj R. V. , Selvan S.
Published: February 2021

In this paper, we propose a parallel algorithm for mining large maximal bicliques from graph datasets. We propose POP-MBC (Parallel Order Preserving Maximal BiClique mining algorithm), a fast and memory efficient parallel algorithm, which enumerates all the maximal bicliques independently and concurrently across several processors without any synchronization between the processors. The POP-MBC algorithm is highly memory efficient since it does not store the previously computed patterns in the main memory and requires only the dataset to be stored in the memory. To enhance the load sharing among different nodes, POP-MBC uses a round robin strategy which enables to achieve load balancing as high as 90%. We have also incorporated bit-vectors and numerous optimization techniques exploiting the symmetric property of the graph dataset to reduce the memory consumption and overall running time of the algorithm. Our comp rehensive experimental analyses involving publicly available datasets show that our algorithm distributes the load among the different processors equally and takes less memory, less running time than other maximal biclique mining algorithms.
WEB TECHNOLOGIES FOR MULTIMEDIA-BASED, MOBILE MUSEUMS
Authors: Feist Manuela , Hebeisen Benedikt , Prellwitz Matthias , Sieck Juergen
Published: February 2021

The paper presents a web-based tour documentation. An interactive map of Germany displays stations already being visited by a mobile museum and those being planned. Station details offering further information as well as various media representation. A barrier-free HTML version also provides editorial and administrative functionality.
CHEATING DETECTION AND CHEATER IDENTIFICATION IN CRT-BASED SECRET SHARING SCHEMES
Authors: Pasailă Daniel , Alexa Vlad , Iftene Sorin
Published: February 2021

In this paper we analyze the cheating detection and cheater identification problems for the secret sharing schemes based on the Chinese remainder theorem (CRT), more exactly for Mignotte [1] and Asmuth-Bloom [2] schemes. We prove that the majority of the solutions for Shamir’s scheme [3] can be translated to these schemes and, moreover, there are some interesting specific solutions.
MODEL OF ENVIRONMENT FOR INTERNET BASED SYSTEMS FUNCTIONING
Authors: Globa Larysa , Kot Tetiana
Published: February 2021

Internet based information systems (IBIS), their functioning and design features are presented in this paper. The requirements to IBIS information-computation processes are specified and IBIS architecture is proposed. The model of the IBIS functioning environment, document and business-process models are presented.
OPTICAL ADD DROP MULTIPLEXERS (OADMS) IN UW-WDM OPTICAL PASSIVE COMMUNICATION NETWORKS
Authors: Mohammed Abd El-Naser A. , Rashed Ahmed Nabih Zaki , Eid Mahmoud M.A.
Published: February 2021

In the present paper, we have been modeled numerically and parametrically the high and best performance functions of optical add drop multiplexers (OADMs) for ultra wide wavelength division multiplexing technique with ultra wide space division multiplexing technique in advanced optical communication networks and photonic networking over the assumed set of parameters. Moreover, we have analyzed and investigated the maximum time division multiplexing (MTDM) and soliton transmission techniques to be processed to handle bit rate either per link or per channel for cables of multi-links (20-120 links/core). Where maximum number of transmitted channels in the range of 1000-4800 channels are processed to handle the product of bit rate either per channel or per link for cables of multilinks of silica cable core fabrication material. The MTDM or soliton transmission bit rates either per link or per channel are also treated over wide range of the affecting parameters under the ambient temperature variations. Also, the performance characteristics of the OADMs are taken as the major interest in optical networks to handle maximum transmission bit rates for the supported subscribers.
ADAPTED ALGORITHM OF VIRTUAL PLANTS SIMULATION BASED ON STOCHASTIC L-SYSTEM
Authors: Wang Hai , Hao Fei
Published: February 2021

In this paper, the concept and characteristics of fractal are briefly introduced; The drawing principle of L-system and IFS system is discussed. Based on this discussion, we analyse virtual plant growth procedure simulated by the L-system. Further, an efficient expression that can describe the plant growth and the control of direction is defined; Inspired from proposed expression, we propose a new method based on the combination of L-system and IFS system to simulate the plant morphology. We valid and show our proposed system with high fidelity and efficiency on the simulation of plant morphology by comparison experiments. Extra experiment shows it can be applied into computer art and video game scenario design.
LOKI – MOBILE LOCALIZATION AND WIKI-BASED INFORMATION FOR MUSEUMS
Authors: Hoffmann Peter
Published: February 2021

In search of new target groups and in purpose to forge strong links to existing target groups museums try to use the support by technical features. Both, the internet for external communication and local technical infrastructures in the exhibitions, are used in that context. This paper introduces a research project which combines both aspects. An increasing number of museums present parts of their exhibitions in a digitized way as virtual exhibitions in the internet. Often information as well as interactive and entertaining elements are integrated in those presentations. In the physical (“real”) exhibition the digitized information and especially interactive elements and presentation are used rarely. This situation gave the idea for the Loki-project which aims at a wiki-based application used in physical exhibitions.
EMPLOYING SEMANTIC WEB TECHNOLOGIES TO PROVIDE DYNAMIC CONTENT FOR ELECTRONIC MUSEUM GUIDES
Authors: Kuper Heinz-Günter
Published: February 2021

Tim Berners-Lee’s vision of the Semantic Web promises to make the targeted retrieval of online information far more accurate. As Semantic Web technologies mature, software systems will be able to deliver detailed information regarding particular artefacts on the fly in a museum environment, thus answering visitor queries that were not anticipated by the content creators. This paper explores some of the issues associated with providing such a solution.
morph! AN INTERACTIVE APPROACH TO TRANSFORM BUILDINGS TO LIFE
Authors: Kozuhovskij Sergej , Szmidt Peter , Hemken Benjamin , Paul Jennifer , Karayel Meltem , Riemann Sonja , Jacob Martin , Cohrs Christian , Molnar Alexander , Trees Joshua , Schönke Luisa , Davydenkova Darya , Stöhlmacher Eva , Chandrapalan Shuratha , Krannich Dennis , Schröder-Kroll Roland , Malaka Rainer
Published: February 2021

The use of digital media for interactive art installations is increasingly popular. Art and technology merge. Our intention is to create interactive art installations that offer an incentive to interact playfully with the surrounding environment. Motivated by this, we developed and realised two forms of installations: an interactive screen with several and a light cone installation.
VIRTUAL LABORATORY MOLDYNGRID AS A PART OF SCIENTIFIC INFRASTRUCTURE FOR BIOMOLECULAR SIMULATIONS
Authors: Salnikov Andrii , Sliusar Ievgen , Sudakov Oleksandr , Savytskyi Oleksandr , Kornelyuk Alexander
Published: February 2021

Virtual laboratory MolDynGrid has been established for computational researches in structural biology and bioinformatics, especially for molecular dynamics (MD) simulations of biological macromolecules and their complexes. Biomolecular simulation usually requires a very high processing power and huge storage space for MD trajectories. In this study we describe the development of virtual laboratory infrastructure to run massive MD simulations on a Grid infrastructure in a distributed manner. The aim of MolDynGrid development was to provide an efficient infrastructure for automation of MD job processing in Grid. It will assist researchers to use grid technology without having them to be familiar with highly complicated internals of the Grid. Web-portal of MolDynGrid virtual laboratory has been developed (http://moldyngrid.org), which consists of computational, analytical and educational blocks аnd data base of MD simulations.
AUTOMATED SYSTEM OF ANALYSIS AND RECOGNITION OF VENTRICULOGRAMS ON THE BASE OF REPAGULAR WAVELET TRANSFORM
Authors: Polyakova Marina , Krylov Victor , Gulyaeva Natalia , Pruschak Tatyana
Published: February 2021

The method of the extraction of the left ventricle contours is developed for ventriculograms which obtained by radiological research of heart with the angiographic system. The proposed method includes the underlining of left ventricle contours through the repagular wavelet transform, that allows to reduce the error of detection of the edge and the area of left ventricle.
ADAPTABLE THRESHOLD ENERGY SCHEME FOR LOAD BALANCING TO IMPROVE NETWORK LONGEVITY IN WIRELESS SENSOR NETWORKS
Authors: Sumathi R. , Srinivasan R.
Published: February 2021

Energy efficiency is the major concern in the design of Wireless Sensor Network (WSN). It is imperative to develop protocols to distribute energy dissipation across nodes and reduces hotspots in the networks. In this paper, the Load Balancing Dynamic Adaptive Routing (LBDAR) a reactive and efficient data routing protocol is proposed for optimal distribution of load. Rather than finding an optimal path and use it for all communication, the proposed protocol dynamically constitutes energy sufficient routing path from source to sink for each round of communication, by considering two parameters, they are frequency count and adaptable threshold energy. The frequency count provides good chance for all the nodes to actively participate in forwarding data messages and the adaptable threshold energy prevents the early death of heavily involved nodes due to battery drain off, and thus helps in achieving our goal to distribute the load and hence enhances the network lifetime. The performance is evaluated by simulation using ns-2 simulator and results show that the LBDAR solves effectively the problem of load balancing and is also more efficient in terms of energy consumption and improves network lifetime.
DISTRIBUTED VISUAL PATTERN STRUCTURE FEATURES BY “X-RAYING” OF INTENSITY
Authors: Melnyk Roman , Kalychak Yuriy
Published: February 2021

An approach to determine structural integral and distributed image features on the basis of the “X-ray” algorithm from the perspective of the frontal plane XOZ or lateral plane YOZ is considered. The distributed structural features of segments are formed for the space of intensity. Segmentation is performed through splitting the image and space by intensity and coordinate values. The results of defined features and searching algorithm are presented.
PROJECT RISK MANAGEMENT USING MONTE CARLO SIMULATION AND EXCEL
Authors: Tysiak Wolfgang , Sereseanu Alexander
Published: February 2021

In every project, especially in software and IT projects, there is the need to perform an elaborated risk management. One main task that often causes problems is the quantitative risk analysis. In this article we will show how to deal with this by using a well-known standard product: EXCEL.
MEMPERTAHANKAN EKSISTENSI EKOWISATA HUTAN BAMBU ALU DAN PENGRAJIN BAMBU DI MASA PANDEMIC COVID 19
Authors: Hadijah Sitti , Ritabulan Ritabulan , Rizky Prawira Muhammad , M Nuraeni
Published: February 2021

Pandemic covid 19 menjadi ancaman tersendiri bagi desa Alu yang memiliki potensi wisata Hutan Bambu Alu beserta dengan produk unggulannya yaitu bambu. Sehingga masyarakat Alu di tuntut untuk tetap inovatif dan kreatif. Walaupun Desa Alu tidakmasuk zona merah penyebaran Covid 19, tetapi tetap saja keberlanjutan Ekowisata Hutan Bambu Alu dan Pendapatan pengrajin bambu mengalami penurunan. Olehnya itu melalui program pengembangan desa mitra( PPDM)” Desa Ekowisata Hutan Bambu Alu: Berbasis Budidaya dan kerajinan Bambu “ yang memasuki tahun ke 2 ini, tetap melanjutkan kerja sama dengan Mitra sebelumnya. Adapun metode yang di gunakan adalah melakukan Sosialisasi, Workshop, dan Pembuatan Mural bambu. Tujuan dari beberapa kegiatan yang di laksanakan tersebut adalah menghantarkan masyarakat Alu untuk tetap bisa mempertahankan potensi wilayah mereka dengan tetap memperhatikan protocol Kesehatan. Melalui upaya tersebut, segala aktifitas masyarakat Alu akan dapat di jalankan dengan baik sekaligus tetap bisa melanjutkan Ekowisata hutan bambu Alu sebagi icon dari Desa Alu yang sudah di ketahui oleh masyarakat luas. Begitu pula dengan produk yang di hasilkan oleh para pengrajin tetap bisa di pasarkan dengan baik. Sampai saat ini rangkaian kegiatan yang telah di laksanakan antara lain, Bersama Unsulbar Melawan Covid 19, Sosialisasi PPDM Tahun ke 2 di rangkaikan dengan edukasi New Normal Covid 19, dan persiapan pembuatan Mural bambu yang selanjutnya akan kami gambarkan dalam tulisan ini. Kami juga akan mendeskripsikan semua rencana kegiatan sampai akhir tahun 2020, yang akan dilaksanakan guna menunjang Ekowisata Hutan Bambu Alu dan Produk bambu yang di hasilkan bisa tetap memiliki posisi di hati masyarakat luas
PENINGKATAN KEMAMPUAN CAKAP BERBICARA DI DEPAN PUBLIK BAGI PENDIDIK PAUD DI KABUPATEN PURWOREJO
Authors: Nurika Irma Cintya , Khoirurrohman Taufiq
Published: February 2021

Cakap berbicara bagi pendidik memiliki peranan penting dalam aktualisasi kompetensi pedagogik,kepribadian, profesional, dan sosial. Kompetensi pedagogik yang mengarah pada prosespembelajaran akan membantu pendidik dalam meningkatkan komunikasi yang baik dengan anakdidik, orang tua maupun sesama relasi rekan kerja. Pada kompetensi kepribadian akan menjadievaluasi dan perbaikan keberlanjutan kecakapan berbicara yang selama ini dikuasai. Selain itu,kemampuan menyimak, membaca, dan menulis secara tidak langsung juga akan terlibatditingkatkan dan dipatrikan dalam diri. Ketercapaian tersebut akan berdampak pada kompetensiprofesional sebab pemahaman tentang kecakapan berbicara mampu diterapkan dengan identifikasiberbicara baik dan benar sesuai analisis konteks. Hal tersebut akan mendukung dalam realisasikompetensi sosial sebab pendidik dituntut mampu bersosialisasi dan menjadi panutan dengan rekankerja, anak didik, orang tua atau wali, dan masyarakat. Penerapan berkomunikasi lisan dengansantun menjadikan pendidik mudah beradaptasi dan menjalin kerja sama. Hasil temuan padapendidik PAUD di Kabupaten Purworejo mengalami kendala belum menerapkan pelibatan KamusBesar Bahasa Indonesia (KBBI) dan Pedoman Umum Ejaan Bahasa Indonesia (PUEBI), sehinggaterjadi kesalahan seperti ketidaktepatan dalam penyebutan kata tidak baku, gelar, ketidakefektifansusunan kalimat, diksi, dan kesantunan nonverbal