bluuebunny/crossref_metadata_2025 huggingface dataset:
ANNOTATING DATA WITH MULTIDIMENSIONAL PROPERTIES
Authors: Laadidi Yassine , Bahaj Mohamed
Published: February 2021

The evolution of web technologies and the data we are manipulating announce profound changes on Business Intelligence (BI) systems and open up important researches and innovations particularly in multidimensional data modeling and data integration. The emergence of the semantic Web highlights the need of including external data sources in the BI system. The semantic web came with Resource Description Framework (RDF) model to describe data over the Web by annotating resources with semantics and properties and consequently establishing reasoning mechanisms. However, integrating and/or analyzing information from Wide World Sources still a very challenging process because of their “unpredictability” and heterogeneity. Consequently, the transition to an open BI/SW system is required to handle automatic alteration on structures and enabling discovery of multidimensional entities over multiple Web sources. In this paper, we introduce our prospective approach and architecture for including external data sources in an open BI/SW system and we provide an automatic method aimed to define multidimensional entities and properties over different sources for data acquisition and data analysis requests.
A QUAD CMOS GATES CHECKING METHOD
Authors: Tyurin Sergey F.
Published: February 2021

The so-called Fault-Tolerant Systems (FTS) use the structural, temporal, functional, or information redundancy for the achievement of the high reliability. For example, Radiation Hardened by Design (RHBD) Systems are Fault-Tolerant Systems. A Passive FTS, due to a very large structural redundancy (Modular Redundancy), produces faults masking. The Triple Modular Redundancy (TMR) Method has more than 300% redundancy. The Quad Redundancy (QR) Method boasts more than 400% redundancy. The CMOS transistors QR (transistor-level redundancy) is the most effective QR. In this case, no voting element is needed. However, this significantly increases the time delay. In addition, it is necessary to ensure compliance with the Mead-Conway restrictions. QR, in contrast to TMR, raises the problem of checking the redundant structure. The author proposes a QR Checking Method based on a selection of substrates of the CMOS transistors. The power lines of the transistor substrates are separated, which ensures the disconnection of part of the reserve. A simulation confirms the feasibility of the proposed method.
DIRECT DIGITAL FREQUENCY SYNTHESIZER IN THE RESIDUE NUMBER SYSTEM
Authors: Polikarovskykh Oleksiy , Melnychuk Vasyl , Hula Ihor , Karpova Lesia
Published: February 2021

The principles of construction and operation of direct digital frequency synthesizers are considered in order to speed up computational operations using Residue Number System. The problems of forming the output signals are considered. The specifics of the implementation of the operation of direct and reverse transformations from positional to non-positional number systems are described. A mathematical model of a synthesizer with a phase accumulator in a Residue Number System is considered. Methods for converting from RNS (Residue Number System) to binary system for problematic operations are considered. The design of a DDS (Direct Digital Synthesizer) with a phase accumulator in a Residue Number System and a converter to an analogue signal form is proposed without the use of slow ROM (Read Only Memory). The article deals with the issues of efficiency of the crystal area of the synthesizer and the reduction of the delays in the formation of the output signal.
NEUROEVOLUTIONARY APPROACH TO CONTROL OF COMPLEX MULTICOORDINATE INTERRELATED PLANTS
Authors: Kondratenko Yuriy , Kozlov Oleksiy , Gerasin Oleksandr
Published: February 2021

This paper presents the developed by the authors step-by-step neuroevolution based approach to designing control systems for complex multicoordinate interrelated plants (MIP). The proposed approach allows us to build the structure of the automatic control system (ACS) for the MIP on the basis of the single complex neural controller (NC) with multiple inputs and outputs as well as to implement the effective training of its multilayer neural network (NN) by means of the evolutionary based algorithm, taking into account the mutual influence of all variables of the MIP in an optimal way. In order to study and validate the efficiency of the presented approach the design of the ACS for the spatial motion of caterpillar mobile robot (MR) able to move on inclined and vertical ferromagnetic surfaces is carried out in this work. The developed ACS based on the NC with optimal structure allows us to achieve high quality indicators of spatial motion control, taking into account the mutual influence of control channels of the MR’s speed and angle that confirms the high efficiency of the proposed approach.
REMOTE LEARNING: A WORLD-WIDE-WEB OPERATED ROBOT ARM
Authors: Elchanani Matanya , Sobh Tarek M. , Mihali Raul
Published: February 2021

The World-Wide-Web has been used extensively in the past few years of its existence for data exchange, and information gathering. Web online control, on the other hand, is a new emerging field, which has not yet been fully exploited and holds in it a great impact on currently available control systems. This paper discusses an application of online Internet control service - a WWW controlled robotic manipulator arm.
SMART LICENSE PLATE RECOGNITION SYSTEM BASED ON IMAGE PROCESSING USING NEURAL NETWORK
Authors: Koval V. , Turchenko V. , Kochan V. , Sachenko A. , Markowsky G.
Published: February 2021

This paper describes the Smart Vehicle Screening System, which can be installed into a tollbooth for automated recognition of vehicle license plate information using a photograph of a vehicle. An automated system could then be implemented to control the payment of fees, parking areas, highways, bridges or tunnels, etc. There are considered an approach to identify vehicle through recognizing of it license plate using image fusion, neural networks and threshold techniques as well as some experimental results to recognize the license plate successfully.
HIGH PERFORMANCE FAULT SIMULATION FOR DIGITAL SYSTEMS
Authors: Hahanov Vladimir , Krivoulya Gennadiy , Hahanova Irina , Melnikova Olga , Obrizan Vladimir
Published: February 2021

Fast backttraced deductive-parallel fault simulation method oriented on processing of complex digital devices containing hundreds of thousand equivalent gates is offered. Data structures and algorithms for method realization are described.
THE USE OF XML TECHNOLOGIES FOR EXCHANGING INFORMATION WITHIN A MULTI-AGENT SYSTEM
Authors: Buraga Sabin , Alboaie Sinica , Alboaie Lenuta
Published: February 2021

This paper presents different XML-based techniques for exchanging information between the constituents of a multi-agent system. We expose a multi-agent infrastructure – called Omega – that can be considered as a hierarchical space of distributed objects set those models the Web resources. We suggest an XML/RDF-based model that can be used as a common approach for serialization and metadata description of the objects processed by the agents. Diverse relationships that can be established between the entities of a multi-agent system will also be expressed by different RDF constructs.
MIDDLEWARE-BASED LOAD BALANCING FOR COMMUNICATING JAVA OBJECTS
Authors: Felea Violeta , Toursel Bernard
Published: February 2021

In the context of heterogeneous networks, like clusters of workstations, the design of programming and execution environments aims to automatically adapt execution to fluctuations that may appear in the execution of distributed and parallel Java applications. ADAJ, Adaptive Distributed Applications in Java, addresses this problem, dealing with both parallelism and distribution features. Ease of programming is achieved through an object and method parallelism paradigm. The trade-off between transparency of such a parallelism expression and efficiency is solved by application redeployment, meant to maintain a good performance level. This is the purpose of the load balancing in ADAJ, a dynamic and transparent tool at the middleware level, which exploits information issued from observation of the application, in order to consider both object activity and communication patterns. Communications generate attraction relations between objects and this article presents the evaluation of the load balancing mechanism for a type of asynchronous applications in which the communication aspect is important.
INVESTIGATIONS OF THE BASIC COMPONENT OF FCSR – GENERATOR
Authors: Shyrochin V. P. , Vasyltsov I. V. , Karpinskij B. Z.
Published: February 2021

The analysis of the statistical parameters of feedback with carry shift register (FCSR) quasi-random generator has been done. For the investigation were chosen 8 - bits and 9-bits registers. Were investigated the period of the generator and distribution of “one” and “zero” values. Additionally, the generated sequences where tested by NIST STS package.
E-LEARNING: CASE STUDIES IN WEB-CONTROLLED DEVICES AND REMOTE MANIPULATION
Authors: Sobh Tarek , Mihali Raul , Batra Puneet , Singh Amit , Pathak Sudip , Vitulskis Tomas , Rosca Andrew
Published: February 2021

Chances are that distance learning will transparently extend colleges and institutes of education and could plausibly overtake and turn into a preferred choice of higher education, especially for adult and working students. The main idea in e-learning is to build adequate solutions that can assure educational training over the Internet, without requiring a personal presence at the degree offering institution. The advantages are immediate and of unique importance, to enumerate a few: Education costs can be reduced dramatically, both from a student's perspective and the institution's (no need for room and board, for example); The tedious immigration and naturalization issues common with international students are eliminated; The limited campus facilities, faculty members and course schedules an institution can offer are no longer a boundary; Working adults can consider upgrading skills without changing their lifestyles. We are presenting through this material a sequence of projects developed at University of Bridgeport and than can serve well in distance learning education ranging from simple "hobby" style training to professional guidance material. The projects have an engineering / laboratory flavor and are being presented in an arbitrary order, topics ranging from vision and sensing to engineering design, scheduling, remote control and operation.
INDUSTRIAL APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS
Authors: Madani Kurosh
Published: February 2021

In a large number of real world dilemmas and related applications the modeling of complex behavior is the central point. Over the past decades, new approaches based on Artificial Neural Networks (ANN) have been proposed to solve problems related to optimization, modeling, decision making, classification, data mining or nonlinear functions (behavior) approximation. Inspired from biological nervous systems and brain structure, Artificial Neural Networks could be seen as information processing systems, which allow elaboration of many original techniques covering a large field of applications. Among their most appealing properties, one can quote their learning and generalization capabilities. The main goal of this paper is to present, through some of main ANN models and based techniques, their real application capability in real world industrial dilemmas. Several examples through industrial and real world applications have been presented and discussed.
HOW A PEAK CAN BE SEARCHED FOR IN AN ALMOST EVERYWHERE FLATLAND OF ALTITUDE ZERO? — TINY FLAT ISLAND IN HUGE LAKE
Authors: Imada Akira
Published: February 2021

We are exploring a weight configuration space searching for solutions to make our neural network with spiking neurons do some tasks. For the task of simulating an associative memory model, we have already known one such solution — a weight configuration learned a set of patterns using Hebb’s rule, and we guess we have many others which we have not known so far. In searching for such solutions, we observed that the so-called fitness landscape was almost everywhere completely flatland of altitude zero in which the Hebbian weight configuration is the only unique peak, and in addition, the sidewall of the peak is not gradient at all. In such circumstances how could we search for the other peaks? This paper is a call for challenges to the problem.
ADAPTIVE SELECTION OF NEURAL NETWORKS FOR A COMMITTEE DECISION
Authors: Lipnickas Arunas , Korbicz Jozef
Published: February 2021

To improve recognition results, decisions of multiple neural networks can be aggregated into a committee decision. In contrast to the ordinary approach of utilising all neural networks available to make a committee decision, we propose creating adaptive committees, which are specific for each input data point. A prediction network is used to identify classification neural networks to be fused for making a committee decision about a given input data point. The jth output value of the prediction network expresses the expectation level that the jth classification neural network will make a correct decision about the class label of a given input data point. The proposed technique is tested in three aggregation schemes, namely majority vote, averaging, and aggregation by the median rule and compared with the ordinary neural networks fusion approach. The effectiveness of the approach is demonstrated on three well known real data sets and also applied to fault identification of the actuator valve at one sugar factory within the DAMADICS RTN.
TIME ANALYSIS OF VIRTUAL SPECTRUM ANALYZER
Authors: Winiecki Wieslaw , Bilski Piotr
Published: February 2021

The problem of the Real-Time virtual instrument is presented. The requirements for the Real-Time conditions are explained. The method of the instrument time analysis is proposed. The virtual spectrum analyser is examined in order to reveal properties of the software functions. The optimisation procedure is described and its results are presented. The conclusions for the future developers have been articulated.
INDUSTRIAL TEST OF A/D CONVERTERS IN LABVIEW
Authors: Raze Stephane , Dallet Dominique , Marchegay Phillipe
Published: February 2021

An industrial test bench for Analog-to-Digital Converters (ADC) is presented in this article. The bench hardware has been composed with known devices of instrumentation. This hardware had been identified from ADCs under test requirements. All of hardware is handled by a software written in LabVIEW development system.
ROBUST ESTIMATION OF STATIONARY PROCESS
Authors: Petrov Nickolay , Pehlivanova Tania
Published: February 2021

The use of microprocessor measurement system gives the opportunity to improve the precision of the measurements. It is possible by realization of algorithms, taking in to account the changing conditions of measurement experiment. In the paper it is suggested an adaptive algorithm for calculation of the mathematical expectation MX in the conditions of insufficient knowledge about the interval of correlation.
CANCER PROGNOSTIC EVALUATION VIA SUPPORT VECTOR MACHINES
Authors: Conforti Domenico , Costanzo Domenico , Guido Rosita
Published: February 2021

In this paper we considered a very challenging medical decision making problem: the short-term prognosis evaluation of breast cancer patients. In particular, the oncologist has to predict the more likely outcome of the disease in terms of survival or recurrence after a given follow-up period: “good” prognosis if the patient is still alive and has not recurrence after the follow-up period, “poor” prognosis if the patient has recurrence or dies within the follow-up period. This prediction can be realized on the basis of the execution of specific clinical tests and patient examinations. The relevant medical decision making problem has been formulated as a supervised binary classification problem. By the framework of generalized Support Vector Machine models, we tested and validate the behavior of four kernel based classifiers: Linear, Polynomial, Gaussian and Laplacian. The overall results demonstrate the effectiveness and robustness of the proposed approaches for solving the relevant medical decision making problem.
AN EXPERIMENTAL COLLECTIVE INTELLIGENCE RESEARCH TOOL
Authors: Wang Bei , Hoang Dung , Daiz Idris , Okpala Chiedu , Sobh Tarek M.
Published: February 2021

The Collective Intelligence Research Tool (CIRT) is an experimental software and hardware research tool. It provides an inexpensive and efficient alternative research implementation that demonstrates simulations of the collective behavior of self-organized systems, primarily social insects. The software focuses on 2D simulations of the woodchip-collecting behavior of termites and 3D simulations of the building behavior of wasps. The hardware simulation employs a Boe-Bot robot, which has the potential of simulating simple movements of a social insect, by extending its functionality through adding sensors and integrating a control chip.
COEXISTENCE OF STANDARDIZED WIRELESS SYSTEMS IN THE 2.4 GHZ-ISM-BAND
Authors: Sikora Axel , Groza Voicu F.
Published: February 2021

Wireless systems continue to rapidly gain popularity. This is extremely true for data networks in the local and personal area, which are called WLAN and WPAN, respectively. However, most of those systems are working in the license-free industrial scientific medical (ISM) frequency bands, where neither resource planning nor bandwidth allocation can be guaranteed. To date, the most widespread systems in the 2.4 GHz ISM band are IEEE802.11 and Bluetooth, with ZigBee and IEEE802.15.4 as upcoming standards for short range wireless networks. In this paper we examine the mutual effects of these different communication standards. Measurements are performed with real-life equipment, in order to quantify coexistence issues.
SYNTHESIS AND FPGA–IMPLEMENTATION BASED NEURAL TECHNIQUE OF A NONLINEAR ADC MODEL
Authors: Bouhedda Mounir , Attari Mokhtar
Published: February 2021

The aim of this paper is to introduce a new architecture using Artificial Neural Networks (ANN) in designing a 6-bit nonlinear Analog to Digital Converter (ADC). A study was conducted to synthesise an optimal ANN in view to FPGA (Field Programmable Gate Array) implementation using Very High-speed Integrated Circuit Hardware Description Language (VHDL). Simulation and tests results are carried out to show the efficiency of the designed ANN.
A SCALABLE SECURITY SERVICE FOR GEOGRAPHIC AD-HOC ROUTING
Authors: Karakehayov Zdravko , Radev Ivan
Published: February 2021

This paper describes a scalable security service for geographic ad-hoc routing. The routing protocol, REWARD, detects black hole attacks and organizes a distributed data base for suspicious nodes and areas. The algorithm utilizes two types of broadcast messages, MISS and SAMBA, to recruit nodes to act as security servers. Security servers keep records for detected black hole attacks and provide security services when forward packets. MISS-recruited security servers keep records for suspicious nodes and protect the network in the ID space. SAMBArecruited security servers keep records for suspicious areas and decline the network vulnerability in the physical space. REWARD has different levels of security which can be set according to the local conditions. In order to determine the effectiveness of REWARD we used ANTS, a simulation environment which models the traffic of wireless sensor networks.
A COMPARISON OF AGGREGATION/BROADCAST METHODS AND MULTICOMPUTER ARCHITECTURES, AND AN EXAMINATION OF THE COMMUNICATION OVERHEAD ON THE IBM PSERIES 655
Authors: Markowsky Linda
Published: February 2021

First, using a simulator, a detailed comparison of the butterfly and direct aggregation/broadcast methods on both hypercube and fully connected multicomputers, both with and without simulation of congestion, is made. Second, the communication overhead an IBM pSeries 655 is examined.
COMMUNICATION BASED UPON ADVANCED RSS FEEDS CONCEPTS AND STRATEGIES
Authors: Reusch Peter J. A. , Stoll Bastian , Serwatowski Pawel
Published: February 2021

RSS feeds provide information through channels that can be subscribed. Updates in subscribed channels can be controlled by feed readers automatically - to make new information available to the user - immediately after the update. Today elementary RSS feeds are widely used for information dissemination. Advanced RSS concepts can improve communication concepts in many areas. A set of RSS applications is described, new perspectives are mentioned, and strategies derived from the implemented applications.
NONLINEAR PARAMETER IDENTIFICATION OF RISK TECHNICAL SYSTEMS
Authors: Petrov Nikolay
Published: February 2021

This paper deals with an optimal method concerning nonlinear parameter identification of risk technical systems (automobile and railway transport, aircrafts, marine and river transport, chemical installations, munitions, information society suffering by terrorism). Unknown states of the model are built by sliding observers which converge in a finite time. Due to this property, it is possible to derive equations of the model in order to obtain an estimation law which converges to the nominal values of the parameters also in the finite time.
APPLICATION OF THE GROUP METHOD OF DATA HANDLING IN SYNTHESIS OF SUPRVISED NEURAL NETWORKS
Authors: Homich Andrew V. , Zhukov Leonid A.
Published: February 2021

The expediency of application of group method of data handling (GMDH) in synthesis supervised artificial neural networks is considered. Comparison of efficiency of two variants GMDH is carried out. Methods using entrance variables on everyone and only the first line of selection are considered. Efficiency of offered methods is estimated experimentally on practical problems.
NEURO-FUZZY MODELLING IN ANAEROBIC WASTEWATER TREATMENT FOR PREDICTION AND CONTROL
Authors: Yordanova Snejana , Petrova Rusanka , Noykova Nelly , Tzvetkov Plamen
Published: February 2021

The aim of the present paper is to develop neuro-fuzzy prediction models in MATLAB environment of the anaerobic organic digestion process in wastewater treatment from laboratory and simulated experiments accounting for the variable organic load, ambient influence and microorganisms state. The main contributions are determination of significant model parameters via graphical sensitivity analysis, simulation experimentation, design and study of two “black-box” models for the biogas production rate, based on classical feedforward backpropagation and Sugeno fuzzy logic neural networks respectively. The models application is demonstrated in process predictive control
DISCRETE REPRESENTATION MODEL OF MULTIPLY CONNECTED PIPELINES WITH DISTRIBUTED PHYSICAL PROPERTIES
Authors: Lyutak Igor
Published: February 2021

In this paper presented approach of developing chain model which describe distributed physical properties of multiply connected pipeline. It is shown that the digital autoregressive filter can be used to analyze signals of wave propagation in the chain model.
SMART SILICON SENSORS BASED ON VERTICAL HALL EFFECT DEVICES
Authors: Dimitrov Konstantin , Roumenin Chavdar
Published: February 2021

Future integrated systems will benefit significantly from the progress in batch manufactured silicon sensors and signal processing techniques. Silicon technologies make possible to produce sensing microdevices combining maximal sensitivity, high accuracy and minimal design complexity. Smart sensors on the base of Vertical vector Hall effect devices offer a number of advantages including reducing mass, volume and power consumption; greater redundancy of system functions and simpler architecture. In view of these characteristics, it can be expected that such smart sensors will be used extensively wide if an adequate solution is found to reduce the design cost and simplify the electrical interface. Consequently, cost effective microsystems including vector magnetic sensors, circuits and eventually actuators can be fabricated. This paper presents a new approach in the field of signal processing for magnetic field sensors based on vertical Hall elements. A design example is illustrated specific problems and solutions associated with data converters and signal-processing functions for smart sensors.
INTEGRATION OF ARTIFICIAL NEURAL NETWORKS FOR IDENTIFICATION OF COMPUTER SYSTEMS STATES
Authors: Pomorova Oksana
Published: February 2021

The main principles of methodology of intellectualization computer systems diagnosing process are presented in paper.Offered the information model, method and means of computer systems states clusterization provide an opportunity of diagnosing on the basis of the incomplete diagnostic information. For identification of computer systems states are used the union of neural nets experts which are constructed with use of artificial neural networks architecture ART2 and SOM.
REAL TIME DATA ACQUISITION SYSTEM FOR THE ECP-EPP PARALLEL PORT BASED ON PIC16F877 MICROCONTROLLER
Authors: Kalomiros John A.
Published: February 2021

The design of a simple and low cost 10-bit data acquisition system is presented which makes use of the peripherals of a PIC16F877 microcontroller, interfacing with a personal computer using the extended capabilities of the parallel port. The system is integrated with a visual programming tool based on LabVIEW data acquisition software, which provides design flexibility and real time signal processing capabilities. An optimum assembly code for the PIC microcontroller allows for a free-running mean sampling rate of 100KSps on a Pentium PC running Windows XP OS. This system can be an example of a low cost integrated approach for data acquisition that includes a microcontroller, a personal computer and visual measurement software. The system can be the basis of a A/D interface for many measurement applications and can also be seen as an educational paradigm in itself. An effective and fast DAC solution is also presented in full integration with the microcontroller and the computer parallel port.
THE DEFECT AND PROJECT RULES INSPECTION ON PCB LAYOUT IMAGE
Authors: Doudkin Alexander , Inyutin Alexander
Published: February 2021

A technique of PCB layout optical inspection based on image comparison and mathematical morphology methods is proposed. The unique feature of the technique is that the inspection is performed at different stages of image processing. The presence of all layout elements is checked up, then positions of found elements and their conformity to project rules are verified, the breakouts and shorts are found. The inspection of mousebits, spur and pinholes on conductors is also carried out.
THE GENERAL CHINESE REMAINDER THEOREM
Authors: Iftene Sorin , Chelaru Florin
Published: February 2021

The Chinese remainder theorem deals with systems of modular equations. The classical variant requires the modules to be pairwise coprime. In this paper we discuss the general variant, which does not require this restriction on modules. We have selected and implemented several algorithms for the general Chinese remainder theorem. Moreover, we point out some interesting applications of this variant in secret sharing and threshold cryptography.
PERFORMANCE EVALUATION OF GRID ENABLED PC CLUSTER
Authors: Gupta OP , Kahlon Karanjeet Singh
Published: February 2021

A new era of modern computing ushered in early forties. This new concept demanded more and more computing power as the day past. It was assistance to solve large complex problems. Supercomputing has witnessed a paradigm shift from massively parallel supercomputers to network computers. Though dedicated high end supercomputers still have their place in the market yet combined unused CPU cycles of desktop PCs available in the campus network can form comparable virtual supercomputers. Consequently, distributed computing attracted a boost of attention and becoming one of the most promising areas of large scale scientific computing. Local Area Network (LAN) consists of different clusters of high end desktop PCs. These clusters are geographically distributed over the campus wide network and called local grid of clusters. In this paper, we are presenting Grid-enabled PC Cluster (GPCC), exhibiting low latency and high bandwidth subcommunication system. The design of the GPCC is such that it keeps in view the TCP windows buffer size of local1 and non-local2 nodes in the network environment.
THE EVOLUTION OF THE MODERN INSTRUMENTS TOWARD VIRTUAL DISTRIBUTED ARCHITECTURES
Authors: Cristaldi Loredana , Ferrero Alessandro , Salicone Simona
Published: February 2021

During the last decades, Digital Signal Processing techniques and devices have undergone an impressive evolution that led their performance to increase manifold. One of the fields that has greatly benefited of this evolution is that of instrumentation and measurement. DSP-based techniques are presently the most employed techniques in industrial and scientific measurement applications, so that modern instruments are actually computers with dedicated interfaces and dedicated software. The full exploitation of the computing features has led to the development of the Virtual Instruments, and, more recently, to the development of Distributed Instruments. This paper is aimed at briefly discussing the architecture of the modern Virtual, Distributed Instruments, some of their most significant applications and the major metrological problems raised by these systems.
REMOTE-CONTROL MEASUREMENT SYSTEM BASED ON THE IEEE-488
Authors: Cesak Petr , Roztocil Jaroslav
Published: February 2021

The paper presents a complete system for remote measurement. The system is based on the client-server communication structure over the Internet. One part considers the client application – it is used by a user to control the measurement. Second part deals with the server – the server application itself and local connection the instruments over the IEEE-488 interface bus. The communication between client and server is built on TCP connection.
SYSTEM OF THE REMOTE ACCESS VIA INTRANET/INTERNET TO THE DIGITAL SIGNAL PROCESSOR DSP56307 TO DEBUG PROGRAMS, LEARN THE PERIPHERALS AND REALIZE DIFFERENT EXPERIMENTS
Authors: Tsidelko Vladislav , Karpa Victor
Published: February 2021

System of the Remote Access via Intranet/Internet to the digital signal processor DSP56307 allows to debug programs, learn the peripherals and realize different experiments of the using this processor. The worked out system represents the software/hardware complex which include three components: client, server and six working stations. Debugging module of the working station includes two DSP56307EVM which gives the opportunity to learn the peripherals of this processor really for the first time (interfaces HOST, ESSI, SCI and timer). Virtual instruments on the client side (generator, oscilograph, spectrum analyzer) give the opportunity to realize the experiments of using the DSP in the regime of the FFT, digital filtering, generation of the signals, etc. There are two regimes of the working of the system: a) N-clients – one working station; b) N-clients – six working stations.
NEURAL-NETWORK BASED METHOD OF CONTROL INFLUENCES FORMING IN COMPUTER SYSTEM CONTROLLING ENVIRONMENTAL PARAMETERS
Authors: Turchenko Iryna
Published: February 2021

A simulation model of a section of mine ventilation network is considered in this paper. The simulation modeling of transient aerogasdynamic processes of methane concentration changing is fulfilled at applying position and exponential control influences. There is proposed a neural-based method of control influences forming by neural network training on the set of optimal control influences. There are defined a criterion and developed an algorithm of optimal control influences forming as a training set of neural network. The simulation modeling of applying of control influences formed by neural network is fulfilled and decreasing of control parameter in the section of mine ventilation network is estimated.
FUZZY KNOWLEDGEBASE DESIGN FOR INTELLECTUAL SYSTEMS
Authors: Globa Larisa S. , Ternovoy Maksym Y. , Shtogryna Olena S.
Published: February 2021

The approach to fuzzy knowledgebase designing for complex administrative intellectual systems is proposed in the paper. It consists of two phases: structure construction and membership function parameters adjustment. This approach allows accelerate the intellectual systems fuzzy knowledgebase construction.
OPTOELECTRONNICS FUNCTION AND ALGORITHM-SPECIFIC INFORMATIVE DEVICES ON THE BASIS OF DIGITAL SYGNAL PROCESSORS
Authors: Lytvyn Igor , Valeriy Martynyuk Valeriy
Published: February 2021

Presented analysis of influence of parameters and descriptions on informative processes passing in Optoelectronics Function and Algorithm-Specific Informative Devices units for providing a rational choice of information flow diagrams and hardware for their realization under the concrete task.
METHODS AND ALGORITHM FOR COLOR METALLOGRAPHIC 3D IMAGES PROCESSING
Authors: Kornij V. V.
Published: February 2021

The problem of processing of coloured 3D metallographic images in order to obtain the crack volume is considered. Method of 3D surface reconstruction is applied for crack volume estimation. The model of illumination image forming and algorithm of norm vector for horizontal cracks definition are developed. Formulas for crack volume estimation in the case of 3D reconstruction are presented.
ARTIFICIAL IMMUNE SYSTEMS APPROACH FOR MALWARE DETECTION: NEURAL NETWORKS APPLYING FOR IMMUNE DETECTORS CONSTRUCTION
Authors: Bezobrazov Sergei , Golovko Vladimir
Published: February 2021

This paper presents an approach for solving unknown computer viruses detection problem based on the Artificial Immune System (AIS) method, where immune detectors represented neural networks. The AIS is the biologically-inspired technique which have powerful information processing capabilities that makes it attractive for applying in computer security systems. Computer security systems based on AIS principles allow detect unknown malicious code. In this work we are describing model build on the AIS approach in which detectors represent the Learning Vector Quantization (LVQ) neural networks. Basic principles of the biological immune system (BIS) and comparative analysis of unknown computer viruses detection for different antivirus software and our model are presented.
SATELLITE IMAGE PROCESSING ON A GRID-BASED PLATFORM
Authors: Petcu Dana , Gorgan Dorian , Pop Florin , Tudor Dacian , Zaharie Daniela
Published: February 2021

Satellite image processing is both data and computing intensive, and, therefore, it raises several difficulties or even impossibilities while being using one single computer. Moreover, the analysis and sharing of the huge amount of data provided daily by the space satellites is a major challenge for the remote sensing community. Recently, Gridbased platforms were built to address these issues. This paper presents a specialized Grid-based platform developed to enable remote sensing image processing for environmental problems, like preventing river floods or forest fires. Moreover, it exposes the novelty elements that distinguish it from other similar approaches.
DEVELOPMENT OF A COOPERATIVE ESAFETY-SYSTEM USING COMMUNICATION AND LOCALIZATION
Authors: Lill Dirk , Gutjahr Alexander , Sikora Axel
Published: February 2021

The core concept of the project, presented in this paper, is to enable the future availability of a modular cooperative system that will bring together sensor and communication technologies permitting to all road users (vehicles, motorcycles, bicycles, pedestrians) to take an active part in the reduction of the number of accidents that involve vulnerable road users. For this, legacy detection technologies, such as infrared or radar are enhanced by a RFbased communication. This paper shows the results of a system development in hardware and software.
FORMING EVOLUTIONARY DESIGN OF NEURAL NETWORKS WITH DIFFERENT NODES
Authors: Volna Eva
Published: February 2021

Evolution in artificial neural networks (e.g. neuroevolution) searches through the space of behaviours for a network that performs well at a given task. Here is presented a neuroevolution system evolving populations of neurons that are combined to form the fully connected multilayer feedforward neural network with fixed architecture. In this article, the transfer function has been shown to be an important part of architecture of the artificial neural network and have significant impact on an artificial neural network’s performance. In order to test the efficiency of described method, we applied it to the pattern recognition problem and to the alphabet coding problem.
AUTOMATIC DETECTION OF SPINAL DEFORMITY BASED ON STATISTICAL FEATURES FROM THE MOIRE TOPOGRAPHIC IMAGES
Authors: Kim Hyoungseop , Tan Joo Kooi , Ishikawa Seiji , Shinomiya Takashi
Published: February 2021

Spinal deformity is one of a disease mainly suffered by teenagers during their growth stage particularly from element school to middle school. There are many different causes of abnormal spinal curves, but all of them are unknown. To find the spinal deformity in early stage, orthopedists have traditionally performed on children a painless examination called a forward bending test in mass screening of school. But this test is neither objective nor reproductive, and the inspection takes much time when applied to medical examination in schools. To solve this problem, a moire method has been proposed which takes moire topographic images of human backs and checks symmetry/asymmetry of their moire patterns. In this paper, we propose a method for automatic judgment of spinal deformity which is obtained moire topographic images based on statistical features on the moire image. Statistical feature of asymmetry degrees are applied to train employing the classifier such as Artificial Neural Network, Support Vector Machine, Self-Organization Map and AdaBoost.
MODELING AND OPTIMIZATION OF PARALLEL INFORMATION SEARCHING IN FILES
Authors: Lisovets Volodymyr , Tsehelyk Hryhoriy
Published: February 2021

In this article the m-parallel method of sequential field searching and two variants of m-parallel block field searching method are offered. These methods are oriented to be used in multiprocessing system for information searching in files of database. We research the effectiveness of these methods for different probability distribution law of field access. The mathematical expectation of number of parallel comparisons necessary for field searching in files is taken as a criterion of effectiveness. The effectiveness of the methods is compared and analyzed. The best of offered methods is founded for every considered probability distribution. Optimal strategies of field searching in sequenced files stored in external memory of multiprocessing system are made. In this case the mathematical expectation of total time needed for field searching in files is taken as a criterion of effectiveness.
HYBRID INFORMATION MODELS IN IMAGE PROCESSING SYSTEMS
Authors: Antoshchuk S. , Babilunga О.
Published: February 2021

In this article the approach to the development of hybrid information models in image processing systems is presented. This approach allowed creating more effective methods and information technologies of the image processing, analysis and recognition.
CALCULATION OF THE TERRITORY RECREATION ATTRACTIVENESS USING FUZZY LOGIC
Authors: Vyklyuk Yaroslav , Artemenko Olga
Published: February 2021

In this paper the calculation method of the territory tourist attractiveness aggregated potential is offered on the base of fuzzy logic taking into account the factor of seasonality. The potentials of tourist attractiveness are found for the basic tourist recreation systems of the Chernivtsi region.
DISTRIBUTED SENSOR NETWORK FOR SECURITY SYSTEMS
Authors: Bykovyy Pavlo
Published: February 2021

The low-cost network controller for security systems detectors was designed. The controller’s specifics lies in two-wired network interface with the “common bus” topology support. This design reduces the amount of data communication channels from detectors.
THE NUMERAL ANALYTICAL METHOD WITH THE DISTRIBUTED CALCULATIONS FOR THE ANALYSIS OF THE TEMPERATURE FIELDS OF FLIP CHIP STRUCTURE
Authors: Levus Yevheniya
Published: February 2021

The numeral analytical method of analysis of the temperature fields of Flip-chip structures is described in the article. The problem of time reduction of the temperature analysis procedure of microelectronic device is considered. A problem is of current importance, since a problem of providing necessary temperature condition of device functioning is solved through frequent implementation of the temperature fields analysis. One of the effective methods of solving this problem is the use of the distributed calculations. The calculable chart of the temperature analysis method is described with the use of mechanism of the distributed calculations. The presented results of calculations specify on efficiency of application of the distributed calculations with a coefficient equal to 1,5.
IMPROVED INDOOR LOCALIZATION WITH DIVERSITY AND FILTERING BASED ON RECEIVED SIGNAL STRENGTH MEASUREMENTS
Authors: Fink Andreas , Beikirch Helmut , Voss Matthias
Published: February 2021

Distance estimation by the evaluation of RSSI measurements is a simple and well-known technique to predict the position of an unknown node. Therefore the infrastructure does not have to be extended by expensive hardware for synchronization or direction approximation. However, with the localization based on RSSI measurements common and proven systems can be used for the infrastructure. For indoor environments the distance-pending path loss is affected by strong variations, especially appearing as frequency specific signal dropouts. A diversity concept with redundant data transmission in different frequency bands can reduce the dropout probability. If also space diversity and plausibility filtering are used, the Location Estimation Error can be reduced significantly. The investigations show that a good performance for precision and availability can also be reached with low infrastructural costs.
IMPROVED RSSI-BASED EUCLIDEAN DISTANCE POSITIONING ALGORITHM FOR LARGE AND DYNAMIC WLAN ENVIRONMENTS
Authors: Gansemer Sebastian , Pueschel Steffen , Frackowiak Robert , Hakobyan Syuzanna , Grossmann Uwe
Published: February 2021

This paper presents an algorithm for RSSI fingerprint positioning based on Euclidean distance for the use in a priori existing larger and dynamically changing WLAN infrastructure environments. Symptomatical for such environments are changing sets of base stations for different calibration points and for calibration phase and positioning phase. The presented algorithm has an accuracy of 2.06m median location estimation error. The algorithm uses four threshold parameters to adapt the calculation to the specific measuring environment. Furthermore the reduction of calibration effort is investigated. It is shown that an enlargement of the calibration grid size from 1m to 6m increases the median location estimation error from 2.06m to 3.5m. Regular calibration measurements include measurements in four rectangular bearings. Reducing the number of calibration bearings results in less calibration effort, but worsens estimation quality.
EXPERIMENTAL CHARACTERIZATION OF RFID SYSTEMS FOR PROCESS CONTROL IN INDUSTRIAL MARBLE MACHINES
Authors: Saponara Sergio , Iacopetti Fabrizio , Fanucci Luca , Neri Bruno
Published: February 2021

The paper presents an experimental characterization of wireless systems, specifically RFID technologies, applied to polishing/cutting process control in the marble industry. The application of RFID systems has the final aim of allowing the automatic and contact-less detection of the presence of a marble slab in different points of a marble machine, outside and/or inside, trying to overcome some limitations of the currently used proximity detectors. Slab detection is needed for the process control in order to properly activate the abrasive or cutting heads of the machine. Four RFID systems at 125 kHz, 13.56 MHz, 868 MHz and 2.45 GHz have been tested in different set-ups representative of those found in marble machines. Starting from commercially available tags, readers and antennas, ad-hoc developed or customized hardware and/or software have been used for the experimental test campaign, that has been carried out also considering dirty and wet working environments representative of those found in real applications.
“MORPHING BOX” – AN INTERACTIVE APPLICATION FOR USE IN MUSEUMS
Authors: Feist Manuela , Sieck Jürgen , Witt Michael
Published: February 2021

This paper presents an approach to developing a morphing application for use in museums in order to involve visitors directly in an exhibition and to increase their user experience. The visitors take an active part in generating a unique image from their own portrait and a selected reference picture. Techniques used for the development of this interactive prototype include face detection and morphing algorithms.
DIGITAL STORYTELLING IN AFRICA
Authors: Marsden Gary , Llda Ladeira Llda Ladeira , Reitmaier Thomas , Bidwell Nicola J. , Blake Edwin
Published: February 2021

In this paper we examine how digital technology can be used to inspire, record and present oral stories in an African context. In particular we explore how to create technologies that are sympathetic to the cultures of the storytellers, both in the capture of stories and their retelling. Specifically, we look at: inspiring stories in District Six in Cape Town; capturing digital stories from users with low literacy levels and using virtual reality to retell indigenous and personal experience narratives.
A FLEXIBLE IMAGE PROCESSING DESIGN BASED ON 2D DCT/IDCT FOR A SYSTEM ON A PROGRAMMABLE CHIP
Authors: Atri Mohamed , Elhamzi Wajdi , Tourki Rached
Published: February 2021

Many multimedia applications require a flexible image pr ocessing architecture. In this paper, we present the use of a hardware acceleration module (Discrete Cosine Transform (DCT) and Inverse DCT (IDCT) coupled with a software partition running on a PowerPC Processor of a Xilinx FPGA. Therefore we have the benefits of flexible software partition on the PowerPC and the acceleration given by the remaining logic of the same FPGA. This implementation can be used in the context of video coding, object recognition, etc. The experimental results show optimization in processing time offered by hardware acceleration vs. software implementation.
INTELLIGENT VOICE-BASED E-EDUCATION SYSTEM: A FRAMEWORK AND EVALUATION
Authors: Azeta Ambrose , Ayo Charles K. , Atayero Aderemi Aaron Anthony , Ikhu-Omoregbe Nicholas
Published: February 2021

Voice-based web e-Education is a technology-supported learning paradigm that allows phone-access of learners to e-Learning web-based applications. These applications are designed mainly for the visually impaired. They are however lacking in attributes of adaptive and reusable learning objects, which are emerging requirements for applications in these domain. This paper presents a framework for developing intelligent voice-based applications in the context of e-Education. The framework presented supports intelligent components such as adaptation and recommendation services. A prototype Intelligent Voice-based E-Education System (iVEES) was developed and subjected to test by visually impaired users. A usability study was carried out using the International Standard Organization’s (ISO) 9241-11 specification to determine the level of effectiveness, efficiency and user satisfaction. Report of our findings shows that the application is of immense benefit, based on the system’s inherent capacity for taking autonomous decision that are capable of adapting to users’ requests.