bluuebunny/crossref_metadata_2025 huggingface dataset:
FROM DISTRIBUTED MEASUREMENT SYSTEMS TO CYBER-PHYSICAL SYSTEMS: A DESIGN APPROACH
Authors: Carnì Domenico Luca , Grimaldi Domenico , Lamonaca Francesco , Nigro Libero , Sciammarella Paolo Francesco
Published: February 2021

Recently the technological advances have allowed the introduction of new standards to model and monitor control systems. The classical distributed measurement systems (DMSs) have been enriched with the use of a large number of new measurement devices, increasing the amount of produced data. New paradigms for their management are needed, that coupled with actuators, enable the integration of DMSs into more complex systems, known as Cyber-Physical Systems (CPSs). CPSs application field includes different areas such as health care, power management in smart micro grids, and, more in general, management and execution of time-dependent event-driven systems. This paper proposes a framework that allows the modelling, analysis and the implementation of CPSs. In particular, the proposed framework introduces an original feature called model continuity that offers the possibility of using a same model for both simulation phase and real-time execution phase.
CONSTRUCTING THE DIFFUSION-LIKE MODEL OF BICOMPONENT KNOWLEDGE POTENTIAL DISTRIBUTION
Authors: Bomba Andrii , Nazaruk Mariia , Kunanets Natalia , Pasichnyk Volodymyr
Published: February 2021

The concept of knowledge potential of agents which serves as a characteristic of a certain amount of knowledge of any individual accumulated over a certain period of life is presented in the paper. The original model approach to information processes of knowledge potential dissemination based on physical analogies, namely the phenomenon of diffusion, is proposed. The redistribution process of two-component knowledge potential is described and the results of numerical experiments are given. The diffusion-like models of knowledge potential distribution in the social and communicative educational environment of the city are built. In particular, the attention is focused on the description (modeling) of knowledge potential redistribution processes within a given social and communicative community (clique), with well-established external and internal relationship between the members (agents) of educational and training processes. Solutions to the modeling problem of interaction (interference) between the knowledge potential components of different agents within a given clique are proposed, a multi-vector of knowledge potential is considered and the results of numerical experiments are given.
DAMAGE ANALYSIS OF CONCRETE STRUCTURES BY MEANS OF B-VALUE TECHNIQUE
Authors: Carnì Domenico Luca , Scuro Carmelo , Lamonaca Francesco , Olivito Renato S. , Grimaldi Domenico
Published: February 2021

The paper deals with the non-destructive monitoring of civil engineering structures damage by the Acoustic Emission (AE) of the cracks that can occur inside the concrete material. The damage of the concrete material has been evaluated by analyzing AE signals during the compression tests. In order to prevent the loss or partial acquisition of signals a multi-triggering acquisition modality and adaptive evaluation of the Acquisition Time Interval (ATI) have been used. The analysis is based on the Gutenberg–Richter law (GBR), that is the relationship between the magnitude and total number of events of earthquakes in established region and time period. Through the GBR law the b-value was valued and used to select the critical AE signals that identify damage events. Experimental tests have allowed to highlight correspondence between the critical AE signals and the damage in the material.
OBSERVATIONS-BASED COMPUTATIONAL ANALYTICS ON LOCAL CLIMATE DYNAMICS: CHANGE-POINTS
Authors: Kolokolov Yury , Monovskaya Anna
Published: February 2021

The paper concerns the problem on the computational decision making on evolution of local climate dynamics taking into account inevitable nonlinear nature of such systems and deficiency of reliable data on climate dynamics. With this purpose we consider annual temperature variation in the context of the bifurcation phenomena under the hysteresis regulation with double synchronization. The corresponding conceptual model (HDS-model) provides the homogeniety of the analysed states as well as the ability to derive some constituent of regional (external) impacts on a local climate system. In accordance with the peculiarities of HDS-model dynamics, we formalize three mechanisms of local temperature changes and introduce the corresponding indicators of change-points. It allows to substitute, at least partly, expert analytics concerning identification of qualitative changes in local climate dynamics. Examples of applications of the indicators are presented on the basis of processing the time series of temperature observations on daily mean surface air temperature made over last century. We believe that the results could be applied in order to increase the confidence of estimations about local climate changes.
THE MODEL OF THE INTELLIGENCE SYSTEM FOR THE ANALYSIS OF QUALIFICATIONS FRAMEWORKS OF EUROPEAN COUNTRIES
Authors: Osadchyi Viacheslav , Osadcha Kateryna , Eremeev Volodymyr
Published: February 2021

The paper presents the model of the intelligence system for carrying out the comparative analysis of qualifications frameworks of European Countries. The conceptual construct of the model consists of national qualifications frameworks, qualification levels and descriptors such as Knowledge, Skills etc. Each notion is matched with a set of semantic elements which are determined in the field that characterizes all the components of European frameworks. The model allows a user to determine a quantitative measure of correlation between frameworks and qualification levels in different countries. The proposed model of the intelligent system is based on the concept of knowledge base application in the process of solving various tasks, depending on user needs. Such a system is, as a matter of fact, an expert system. At present there is not any universal body of logics and mathematics which could meet requirements of any IS developer. Our model is developed on the basis of special knowledge related to the classification of European education levels in the context of the Bologna process.
SECURITY AND AVAILABILITY MODELS FOR SMART BUILDING AUTOMATION SYSTEMS
Authors: Kharchenko Vyacheslav , Ponochovnyi Yuriy , Abdulmunem Al-Sudani Mustafa Qahtan , Boyarchuk Artem
Published: February 2021

This article presents the information on control system of smart building, which is considered as a set of subsystems including a building automation system. The paper considers the three-level architecture of the building automation system components, including FPGA, communication and management levels. It is determined that the causes of failures and inaccessibility of the BAS architecture component can be both internal system and external factors, among which software defects and vulnerabilities are identified. BAS security and availability during its life cycle are assessed using the Fault-, Attack- and Availability-Tree and Markov models. Markov model is used to develop a number of strategies which help to recover system and to eliminate all the possible threats during systems life time. The models of BAS architecture with software defects and attacked vulnerabilities with general reliability (defect) and security (vulnerability) maintenance are analyzed in detail. The recommendations on the choice of strategies and service parameters are given.
INFORMATION SUPPORT OF THE REMOTE NITROGEN MONITORING SYSTEM IN AGRICULTURAL CROPS
Authors: Lysenko Vitalii , Opryshko Oleksiy , Komarchuk Dmytro , Pasichnyk Natalia , Zaets Natalya , Dudnyk Alla
Published: February 2021

The article addresses issues on application of unmanned aerial vehicles (UAV) to monitor nitrogen nutrition through the example of wheat plants. The optical spectral range can be used to monitor exploitation of the UAV. It is recommended to develop specialized spectral indices for such equipment. The article provides calibration curves for nitrogen nutrition monitoring. In the created neural networks, the linear model is represented as a network without intermediate layers, which in the output layer contains only linear elements, the weight corresponds to the elements of the matrix, and the thresholds are the components of the shear vector. During the operation, the neural network actually multiplies the vector of inputs into the matrix of scales, and then adds a vector of displacement to the resulting vector. Results of the research show how to create the specialized RPVI adapted to technological capabilities of UAVs. It has been experimentally proved that input parameters that describe the state of agricultural plantations are regularly distributed. The average statistical characteristics for additive color RGB model is advisable to be the neural network input instead of large sample data volume.
DYNAMIC COMPUTATION OF HAPTIC-ROBOT DEVICES FOR CONTROL OF A SURGICAL TRAINING SYSTEM
Authors: Hung Vu Minh , Mihai Viorel , Dragana Cristian , Ion Ion , Paraschiv Nicolae
Published: February 2021

This paper presents a new control model of the haptic device for the closed loop teleoperation of a minimal surgery training system. Dynamics of a 6-DOF parallel haptic device is computed and compensated to make a decoupled linearization control model. In teleoperation system, the master is the 6-DOF haptic device and the slave is the 6-DOF serial robot. The master haptic device provides the trajectories for the slave serial robot through the operation of user’s hand on the steering handle while the slave robot sends feedback forces on its end effector to the master controller in order to generate forces/moments on the steering handle of haptic master. In this manner the user’s hand will feel the forces/moments as the same those of the robot end effector. The feeling force tracking performances of system can be improved by using dynamic compensation and decoupled linearization controller based on fuzzy PID algorithms. Experiment results indicate that the dynamic compensation and fuzzy control can improve the control performances effectively.
SECURE VIDEO TRANSCODING IN MOBILE CLOUD COMPUTING
Authors: Baharon Mohd Rizuan , Abdollah Mohd Faizal , Abu Nur Azman , Abidin Zaheera Zainal , Idris Ariff
Published: February 2021

Video Transcoding is one of the recent services available online nowadays provided by the clouds to enable a user to convert a video format from one into another in a very convenient way. To transcode a video, all of the video contents need to be uploaded to the cloud storage. However, outsourcing video contents that may contain sensitive information do not guarantee the video security and privacy as the clouds have the ability to access them. Thus, in this paper, an enhanced homomorphic encryption scheme is proposed to allow massive amount of frames to be transcoded by the cloud server in a secure manner. This scheme encrypts integers rather than individual bits so as to improve the scheme’s efficiency. With the aid of a proposed process for multiple parties to communicate securely, the efficiency of the scheme is thoroughly evaluated and compared with related works. The result shows that our scheme offers much better efficiency, which makes it more suitable for operating the video transcoding in cloud environment.
ADAPTIVE HARMONY SEARCH FOR OPTIMIZING CONSTRAINED RESOURCE ALLOCATION PROBLEM
Authors: Adamuthe Amol C. , Nitave Tushar R.
Published: February 2021

Resource Allocation problem is finding the optimal assignment of finite available resources to tasks or users. Resource allocation problems refer to a wide range of applications such as production, supply chain management, transportation, ICT technologies, etc. Resource allocation problems are NP-hard in nature where the objective is to find the optimal allocations satisfying given constraints. Harmony search (HS) algorithm is a meta-heuristic population based algorithm found good for solving different optimization problems. This paper presents adaptive harmony search (AHS) for solving one-dimensional bin packing problem (BPP) and multi-objective virtual machine placement problem (VMP). The proposed real coded solution representation supports partial constraint satisfaction. Adaptive pitch adjustment rate (PAR) based on population diversity improves the performance of harmony search algorithm. Results show that proposed HS gives optimal solution for 50 BPP instances with 100 % success rate. The performance reduced for large instances of BPP. The proposed weighted AHS for multi objective VMP problem gives better results than genetic algorithm.
KNOWLEDGE MANAGEMENT APPLICATIONS BASED ON USER ACTIVITIES FEEDBACK
Authors: Fisun Mykola , Dvoretskyi Mykhailo , Horban Hlib , Komar Myroslav
Published: February 2021

This research is devoted to the problems of searching information in knowledge management system of some company using keywords and categories list. Authors analyzed different approaches to data storage in management systems and several existing KM systems were considered. The necessity of knowledge presenting in simple and understandable form was mentioned, but also the structuring system requirements and self-learning ability was underscored. Authors suggested using request history with categories and keywords analytics to realize the system ability to change keywords (and categories) weight coefficients. It allows the system to be self-learning using user activity results. Associative rules search task was implemented as well. This analysis makes it possible to find keywords bonds inside user requests content, and helps to increase the time of requested knowledge extracting. Besides, the analysis of the user requests statistics helps to determine individuals, who are in charge for filling the system with new materials, which can be helpful for motivational goals.
FRAME SELECTIVE AND DYNAMIC PATTERN BASED MODEL FOR EFFECTIVE AND SECURE VIDEO WATERMARKING
Authors: Juneja Kapil , Bansal Shaloo
Published: February 2021

Video watermarking enables the users to share the digital contents in public domain without any issue. However, video watermarking is also infected by various attacks that can even destroy the hidden watermark. The security, robustness and reliability are the key challenges of any Video watermarking technique. In this paper, such a robust and dynamic video watermarking framework is presented that can handle most of the existing issues. In this framework, the video is hiding on the selective frames and the preference of frames is done based on structural feature evaluation. After performing the frame selection, the featured analysis is accomplished on each frame to identify the effective cover blocks. The structure feature analysis based rules are applied to identify the most secure region over the frame. In the final stage, the histogram shift method is applied to perform data hiding. To improve the security, instead of hiding the complete image, the ECC (Elliptic Curve Cryptography) encrypted image is watermarked within the video frames. The analysis is performed on real time videos. The analysis results are generated in terms of MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio), SSIM (Structural Similarity Measure) and BCR (Bit Correct Ratio) parameters. The results identified that the proposed model has improved the effectiveness, robustness and security against various attacks. The comparative results are also validated against the DCT and DCT-SVD based video watermarking methods.
HEURISTIC METHODS FOR THE DESIGN OF CRYPTOGRAPHIC BOOLEAN FUNCTIONS
Authors: Moskovchenko Illarion , Kuznetsov Alexandr , Kavun Sergii , Akhmetov Berik , Bilozertsev Ivan , Smirnov Serhii
Published: February 2021

In this article, heuristic methods of hill climbing for cryptographic Boolean functions satisfying the required properties of balance, nonlinearity, autocorrelation, and other stability indicators are considered. A technique for estimating the computational efficiency of gradient search methods, based on the construction of selective (empirical) distribution functions characterizing the probability of the formation of Boolean functions with indices of stability not lower than required, is proposed. As an indicator of computational efficiency, an average number of attempts is proposed to be performed using a heuristic method to form a cryptographic Boolean function with the required properties. Comparative assessments of the effectiveness of the heuristic methods are considered. The results of investigations of the cryptographic properties of the formed Boolean functions in comparison with the best known assessments are given. On the basis of the conducted research, it can be concluded that the functions constructed in accordance with the developed method have high persistence indexes and exceed the known functions by these indicators.
A MODEL-DRIVEN APPROACH FOR MULTI-PLATFORM EXECUTION OF INTERACTIVE UIS DESIGNED WITH IFML
Authors: Gotti Sara , Mbarki Samir , Gotti Zineb , Laaz Naziha
Published: February 2021

Quite recently, considerable attention has been paid to the design, implementation and evaluation of graphical user interfaces due to the apparition of the new strategic trend of computing everywhere. Accordingly, it is necessary to adopt an abstract representation of systems front-end in order to ensure this trend. IFML (Interaction Flow Modeling Language) is a user interfaces description language used to describe the content and interaction behavior of applications front-end. It has been conceived with executability aspect that is obtained via model transformations and full code generators into functional codes. however, these code generators are often accompanied by a loss of information. The main goal of this paper is to present a new virtual machine for directly executing GUIs models designed with IFML language in combination with UML domain model; that captures the content dependency. These input models will be then run on different platforms and devices. We adopted a new model driven approach that includes the hybrid approach of interpretive compiler; through a set of transformation rules, for the implementation of the desired virtual machine.
DESIGN AND IMPLEMENTATION OF ENHANCED PSO BASED MPPT FOR PV PRODUCTION UNDER PARTIAL SHADING CONDITIONS
Authors: Fermeiro João , Pombo José , Calvinho Gonçalo , Do Rosário Maria , Mariano Silvio
Published: February 2021

The search for cleaner energy solutions is being encouraged by the increasing world's energy demand and the emerging environmental concerns. Renewable sources are free, clean and virtually limitless and for those reasons they present a great potential. Photovoltaic systems (PV) have low operation and maintenance costs and to increase the efficiency of a PV production, a Maximum Power Point Tracking (MPPT) algorithm is proposed based on the particle swarm optimization (PSO) algorithm. The proposed PSO-based MPPT is able to avoid the oscillations around the maximum power point (MPP) and the convergence to a local maximum under partial shading conditions (PSC). Experimental and simulations tests were done to evaluate the performance of the proposed algorithm. The results show that it exhibits an excellent tracking under rapid variation in environment conditions (irradiance), no oscillations once the MPP is found and it can avoid the convergence to local maxima.
INCREASING ION SELECTIVE ELECTRODES PERFORMANCE USING NEURAL NETWORKS
Authors: Postolache O. , Girao P. , Pereira M. , Ramos Helena
Published: February 2021

This paper reports the implementation of a neural processing structure as a component of an intelligent measuring system that uses ion selective electrodes (ISEs) as sensing elements of heavy metal ions (Pb+2, Cd+2) concentration. The neural network (NN), designed and implemented to reduce errors due to ion interference and to pH and temperature variations, is of the multiple-input multiple-output Multilayer Percepton (MLP-NN) type. The NN is a component of a virtual instrument that includes a PC laptop, a PCMCI data acquisition board with associated conditioning circuits and the specific ISE sensors. A practical approach concerning the optimal neural processing solution (number of NN structures, number of neurons, neuron transfer functions) to increase the performance of low cost ISEs is presented. Results are presented to evaluate the performance of the NN intelligent ISE system and to discuss the possibility of transferring the acquisition and processing task to a low cost acquisition and control unit such as a microcontroller.
БАЗОВІ СТРУКТУРИ ОПЕРАЦІЙНИХ ПРИСТРОЇВ ХЕШУВАННЯ ДЛЯ ПРОЦЕСОРІВ ПІДТРИМКИ ПРОТОКОЛУ IPSEC
Authors: Коркішко Л. М. , Коркішко Т. А. , Шевчук Р. П.
Published: February 2021

У даній роботі розглянуто базові структури операційних пристроїв хешування для процесорів підтримки протоколу IPSec. Розглянуто особливості алгоритмів хешування MD5 і SHA-1. Виділено базові операції алгоритмів та на їх основі розглянуто структури операційних пристроїв хешування. Виділено ряд граф-алгоритмічних операційних пристроїв. Отримано аналітичні вирази, які описують часові характеристики цих пристроїв. Використовуючи результати синтезу базової операції алгоритму SHA-1 на програмовану логічну інтегральну схему, отримано графіки залежностей часових параметрів операційних пристроїв та виділено області їх доцільного використання.
COLORED LIGHT-TO-VOLTAGE CONVERTERS BASED ABSORBANCE METER
Authors: Pereira M. , Postolache O. , Girao P. , Ramos Helena
Published: February 2021

A low-cost absorbance meter for dissolved compounds identification and concentration evaluation is proposed. The main elements of the system are a white light source and a set of three colored light-to-voltage converters. The system includes auto-calibration capabilities and compensates spectral sensitivity variation of the optical source and detectors. A neural network-processing scheme is used to identify dissolved compounds and evaluate the correspondent concentrations.
ОБЪЕКТНОЕ ПРЕДСТАВЛЕНИЕ КОНТУРА УПРАВЛЕНИЯ ДИСКРЕТНЫМИ ПРОЦЕССАМИ НА ОСНОВЕ СИСТЕМ ПРОДУКЦИЙ
Authors: Тихомирова Е. В.
Published: February 2021

Рассматривается задача программной реализации контура управления дискретными процессами в системах организационно-технологического уровня с применением технологии объектно-ориентированного моделирования. В качестве базового формализма при решении задачи используются системы продукций. Вопросы интерпретации системы продукции решаются по схеме интерпретации процессов на сетевой структуре.
ЕКОНОМІКО-МАТЕМАТИЧНЕ МОДЕЛЮВАННЯ СОЦІО-ЕКОЛОГІЧНОГО СРЕДОВИЩА ПРОМИСЛОВОГО РАЙОНУ МІСТА
Authors: Барткова Л. М.
Published: February 2021

В статті розглянуто розроблено методику побудови узагальнених соціально-економічних та екологічних чинників, зокрема, побудовано функції відповідності соціо-екологічних зон нечітким множинам, що характеризують соціально-економічні та екологічні чинники; на основі кореляційного зв’язку між соціально-економічними (екологічними) чинниками та витратами побудовано матрицю попарних порівнянь соціально-економічних чинників та доведено такі її властивості, як додатність, обернено-симетричність та узгодженність, що дозволило суттєво спростити розрахунок її власного вектора; запропоновано підхід щодо розрахунку важливостей соціально-економічних та екологічних чинників чинників; на основі методу ранжування розроблено процедуру побудови узагальнених експертних оцінок екологічних та соціально- економічних умов життєдіяльності.
A GENETIC BASED TECHNIQUE FOR THE DETERMINATION OF POWER SYSTEM TOPOLOGICAL OBSERVABILITY
Authors: Vazquez-Rodriguez S. , Duro R. J.
Published: February 2021

In this paper we have addressed the problem of observability of power systems from the point of view of topological observability and using genetic algorithms for its determination. The objective is to find a way to determine if a system is observable by establishing if a spanning tree of the system that verifies certain properties with regards to the use of available measurements can be obtained. To this end we have developed a genotype-phenotype transformation scheme for genetic algorithms that permits using very simple genetic operators over integer based chromosomes which after a building process can become very complex trees. The procedure was successfully applied to standard benchmark systems and we present some results for one of them.
INTELLIGENT MULTI-AGENT INFORMATION SECURITY SYSTEM
Authors: Kussul N. , Shelestov A. , Sidorenko A. , Skakun S. , Pasechnyk V.
Published: February 2021

It is proposed an agent approach for creation of intelligent intrusion detection system. The system allows detecting known type of attacks and anomalies in user activity and computer system behavior. The system includes different types of intelligent agents. The most important one is user agent based on neural network model of user behavior. Proposed approach is verified by experiments in real intranet of Institute of Physics and Technologies of National Technical University of Ukraine "Kiev Polytechnic Institute.
THE COMPONENT METHOD OF SCENE ANALYSIS AND OBJECT RECOGNITION
Authors: Vechur Aleksander , Chayka Aleksey , Chemodakov Yuriy
Published: February 2021

The main aim of this work is to propose method that allows some machine to determine surrounding objects. It is important that algorithm must use small computer resources so that machine could work in real time. To improve segmentation on natural images, it is necessary to combine multiple features effectively. Our experimental results are consistent with the theoretical analysis.
THE ALGORITHMS OF QUASI-OPTIMAL PICTURE AREAS MATCHING
Authors: Doudkin A. A. , Sadykhov R. Kh. , Vatkin M. E.
Published: February 2021

Using common matching quality criteria the problem of optimum matching of partially overlapped picture areas is considered. Two schemes of algorithms are proposed for quasi-optimal solution of the problem with following restrictions: the areas are rectangular and have an identical scale. In the first scheme local criterion is used to estimate a quads of frames located in square matrix. In the second scheme is used the special distance function based on neighbor picture matching criterion. The algorithms are realized in program system of layout metallization restoring of integrated circuits.
TIME SERIES PREDICTION USING ICA ALGORITHMS
Authors: Gorriz Juan M. , Puntonet Carlos G. , Salmeron Moises , Lang E. W.
Published: February 2021

In this paper we propose a new method for volatile time series forecasting using Independent Component Analysis (ICA) algorithms and Savitzky-Golay filtering as preprocessing tools. The preprocessed data will be introduce in a based radial basis functions (RBF) Artificial Neural Network (ANN) and the prediction result will be compared with the one we get without these preprocessing tools or the classical Principal Component Analysis (PCA) tool.
A TOOL FOR THE AUTOMATIC DESIGN OF ELECTRONIC CONTROL SYSTEMS AND CIRCUITS FOR MANUFACTURING PLANTS
Authors: Lamas A. , Duro R. R.
Published: February 2021

In this paper we have developed a tool for automatically designing distributed digital circuits for the control of all the elements in a manufacturing plant. These circuits can be implemented as traditional boards or programmed into the controllers of the machinery present. The tool is based on evolutionary techniques and provides a way to obtain the best set of controllers for the different elements in the plant using as evaluating criteria parameters related to the global operation of the plant and not to particular parameters of the electronic circuits or individual controllers. These parameters may be productivity, cost, or any other ratio having to do with the real operation of the business. In this work we have extended the evolutionary methodologies in order to be able to design, at the complete system level, combinations of low level systems (digital electronic circuits) without any direct specification of their input/output relationships but rather taking into account the plant they are going to be working in and the high level constraints imposed on the whole system. The resulting tool has been tested in a real kitchen furniture manufacturing plant using as test bench the lacquering line within the plant.
STOCHASTIC APPROXIMATION TECHNIQUES APPLIED TO PARAMETER ESTIMATION IN A BIOLOGICAL MODEL
Authors: Renotte C. , Vande Wouwer A.
Published: February 2021

Simultaneous perturbation stochastic approximation (SPSA) is a class of optimization algorithms which compute an approximation of the gradient and/or the Hessian of the objective function by varying all the elements of the parameter vector simultaneously and therefore, require only a few objective function evaluations to obtain first or second-order information. Consequently, these algorithms are particularly well suited to problems involving a large number of design parameters. In this study, their potentialities are assessed in the context of nonlinear system identification. To this end, a challenging modeling application is considered, i.e. dynamic modeling of batch animal cell cultures from sets of experimental data. The performance of the optimization algorithms are discussed in terms of efficiency, accuracy and ease of use.
INHERENT SIGNAL PREPROCESSING IN THE LINE CCD SENSOR
Authors: Kejzlar Ludek , Fischer Jan
Published: February 2021

This paper is devoted to the description and practical verification of a new line CCD sensor control method. This method is used for inherent signal preprocessing or processing in line CCD sensor. This new method is suitable for movement compensation, one-frame filtration or two-frame filtration. Because of the similarity between a Non- Recursive Digital Filter with Finite Impulse Response (NRDF FIR) and the new mode we named it FIR mode. Conclusions and hints applicable for operation of line CCD sensor in FIR mode are also included in this paper.
PERSPECTIVE ARCHITECTURE AND COMPONENTS OF COMPUTER NETWORKS
Authors: Yaroslav Nykolaychuk Yaroslav , Krutskevych Nazar , Zastavniy Oleg , Grinchyshyn Taras
Published: February 2021

This article is about using perspective architecture and components of computer networks will permit to increase productivity and reliability of the specialized computer networks not at the expense of escalating elements of system.
DEVELOPMENT OF A TEACHING MATERIAL SYSTEM FOR THE FUNDAMENTAL MATHEMATICS EDUCATION FOR INFORMATION, COMPUTERS AND SYSTEMS ENGINEERING
Authors: Iwase Masami , Hatakeyama Shoshiro , Furuta Katsuhisa
Published: February 2021

Recently, in especially private college in Japan, dispersion of students' educational achievement is distinguished, and fundamental educations for freshmen become more important. The education materials, which raise the level of low-achievement students and interest other students simultaneously, are required. Then in this paper, we present a teaching material system and project-style education of fundamental mathematics for freshmen, which was demonstrated in our department. It is highlighted that using this system we assign each student each data composing a project, so that we succeed in not only improving education effect but also constructing the decentralized data-making/acquisition system with students.
USERS BEHAVIOR MODEL IN TASKS OF COMPUTER SYSTEMS SECURITY ANALYSIS
Authors: Shyrochin V. P. , Mukhin V. E. , Bing Hu Zheng
Published: February 2021

Security of computer systems of various purpose and the appropriate information technologies appreciably depends on tools of user identification and authentication, and also on tools of the analysis of their behavior and behavior of their programs during reception of access to those or other information resources. This article is devoted to a substantiation of a method of use of a known formalism - state machine for modeling users behavior and to testing of protection tools on detection of attempts of the non-authorized access to information resources, including at early stages of preparation for such actions.
A PROPOSAL AND EVALUATION OF THE FAST RECONNECT AD-HOC NETWORK ROUTING PROTOCOL
Authors: MIZOGUCHI Kazuhiro , FURUSHO Shinichi , KITASUKA Teruaki , NAKANISHI Tsuneo , FUKUDA Akira
Published: February 2021

An ad-hoc network works without any infrastructures. It consists of wireless mobile nodes .In this paper, we propose an ad-hoc network routing protocol, called FR-DSR(Fast Reconnect Dynamic Source Routing), which is an improved DSR. When a route is disconnected, FR-DSR can reconnect fast by using prepared spare routes. During communication, spare routes are prepared by sending route check packets through routes in a cache, and an additional route request packet is sent if a spare route is broken. We show that FR-DSR gives better performance than DSR through simulation experiments.
SYNCHRONIZATION BASED ON GLOBAL STATES AS A GENERAL CONTROL METHOD IN PARALLEL PROGRAMS
Authors: Borkowski J. , Tudruj M. , Kopanski D.
Published: February 2021

New parallel program synchronization mechanisms are presented. A specialized synchronizer process, or a hierarchy of such processes, gather information about process states and construct Strongly Consistent Global States, using time interval timestamps. Global predicates evaluated by synchronizers can cause synchronization signals to be sent to processes, the signals trigger asynchronous computation activation or cancellation. The proposed framework is integrated with a message passing system - it is added to the GRADE graphical parallel programming environment to enhance its message-passing based features. Architecture and implementation of the enhancement are discussed.
MODULAR EXPONENTIATION
Authors: Iftene Sorin
Published: February 2021

Exponentiation is a fundamental operation in computational number theory. Primality testing and cryptography are important working fields in which the exponentiation is heavily used. In this paper we survey the most popular methods for modular exponentiation: basic techniques, fixed-exponent techniques, fixed-base techniques, and techniques based on modulus particularities. Some aspects related to parallelism are also discussed.
TOWARDS AN AGENT FRAMEWORK FOR GRID COMPUTING
Authors: Khan Majid Ali , Vaithianathan Shankar K. , Sivoncik Kresimir , Boloni Ladislau
Published: February 2021

This paper presents an agent oriented approach for grid computing. As opposed to existing approaches, agent technology promises a more flexible approach, easier installation and management of the grid framework, and better ability to autonomously recover from failures. The semantically rich, ontological description of the grid applications, services and resources opens the possibility for better monitoring and resource management, and better user interfaces - both for customers and service providers.
EXPERIENCE WITH FORMAL VERIFICATION OF SDL PROTOCOLS
Authors: Minea Marius , Izbasa Cornel , Jebelean Calin
Published: February 2021

This paper presents a case study in the application of formal methods to the verification of communication protocols. We analyze one component block of telephone switching software developed in the SDL language at Alcatel Network Systems Romania. We use the IF toolset from VERIMAG Grenoble to build a state-transition model of the system and verify selected properties. We present the steps performed for translation and verification and discuss the potential for automating the process and using it on a larger scale.
A COLLABORATIVE PLATFORM FOR HETEROGENEOUS CSCW SYSTEMS: CASE STUDY OF ACADEMIC APPLICATIONS
Authors: Iqbal Rahat , James Anne , Gatward Richard
Published: February 2021

A variety of computer based information systems are used to support the activities in an academic environment. These systems are used for conducting lectures, designing and reviewing modules, designing and writing assignments, laboratory work, and computer based assessment. The systems are typically designed from scratch if the existing systems do not meet the requirements. This incurs significant costs, and inconvenience. This paper reports on work concerning the integration of existing computer based systems which is formally known as computer supported cooperative work (CSCW) in order to support every day activities. A framework for CSCW integration is presented. A integrative methodology based on this framework is proposed. An example application scenario involving integration of asynchronous application of our university is discussed.
RELIABILITY OF RSA ALGORITHM AND ITS COMPUTATIONAL COMPLEXITY
Authors: Karpinskyy Mykola , Kinakh Yaroslav
Published: February 2021

This article deals with the RSA encryption algorithm. Its safety is analyzed using the number field sieve method. The algorithm work results allow to define a define a secret key in a simple way.
ENABLING INTELLIGENT AGENTS AND THE SEMANTIC WEB FOR E-COMMERCE
Authors: Kats Yefim H.
Published: February 2021

This paper examines an impact of the growing intelligent agent technologies and the Semantic Web on the phenomenon of e-commerce. We discuss the problems – technical as well as legal – arising from the emergence of the new forms of intelligent software and consider the possible solutions. In particular, we review how the integration of the Semantic Web and intelligent agents can provide a new environment for the secure and scalable e-commerce applications.
LEARNING TO TEACH TO NEURAL NETWORKS HOW TO LEARN WELL WITH SOH, A SELF-OBSERVING HEURISTIC
Authors: Mariage Jean-Jacques
Published: February 2021

In this ongoing research, we present a Self-Observing Heuristic (SOH). SOH is a hybrid computing method. It roots in natural selection and optimization techniques to provide an environmentally driven evolutionary computation scheme, capable of autonomic cumulative learning. Our aim is to realize an adaptive learning system based on neo- Darwinian evolution of neural units. We proceed in two complementary directions. On one hand, we try to automati- cally compute the costly tuning phase of the configuration and learning parameters of neural networks (NNs). On the other hand, we use meiosis cellular growth as a natural computation technique to bypass palimpsest effects observed when adding new knowledge to previous one. The main idea is to build an event guided growing competitive NN that develops while it learns to tune other NNs' parameters. Other NNs can be models more or less similar - or even iden- tical - to it. The system adapts itself, learning to teach other models how to learn well.
THE STEGANOGRAPHIC SYSTEM FOR HIDDEN TRANSFER OF THE COLOR IMAGES
Authors: Reznik I. A. , Sadykhov R. Kh.
Published: February 2021

In the given work the system of the hidden transfer of the graphic information is considered. For hiding the graphic information the digital correlations based on the complex BIFORE transform are used. A crypto stability of a technique is provided by a secret key, with that the hidden image is embedded in the container-image. The problems of efficiency, robustness, accuracy and performance of the suggested method are considered.
INFORMATION INTERACTION OF THERMOCHEMICAL POTENTIALS IN LIVING ORGANISMS AND GENERAL THEORY OF RELATIVITY
Authors: Tydnjuk Volodymyr , Kravchenko Volodymyr , Mul Olena , Shut Mykola
Published: February 2021

The application of general theory of relativity for building of model of living organisms field is considered. The information field, which connects living organism with environment, forms a material object of such field. A non- electromagnetic nature of such material object is substantiated. The phenomenon of interaction of thermochemical potentials at distance is investigated.
THE IMPLEMENTATION OF THE NEURAL NETWORK FOR THE CLASSIFICATION PROBLEM
Authors: Lisovik Ulyana , Lipchanskiy Oleksandr
Published: February 2021

The example of NN realization is considered. Also description of all its design stages from NN function model description to its timing and hardware characteristics estimation is considered. NN structural model is presented in VHDL code. Through SynplifyPro 7.0 package from Synplicity® the system synthesis with the orientation on Virtex- II XC2V6000 family is made out. The estimation of the optimality of the synthesized NN model utilization is accomplished. NN structures are shown; hardware costs are taken to the table.
ANALYSIS OF MARKETING INFORMATION SYSTEMS AND CONCEPTION OF AN INTEGRATED MARKETING INFORMATION SYSTEM
Authors: Nedeva Veselina Ivanova
Published: February 2021

The article presents the results of a research in the field of the marketing information technologies. The subjects of the research are the marketing information systems, mainly the information systems used in the marketing business activities of the studied companies. 25 marketing information systems were covered. Data were collected in the period 1999-2002. A study was conducted on the basis of criteria and indices preliminarily worked out as well. Analysis was made, results were obtained and a concept for the building of a marketing information system of an integrated kind was proposed.
THE EXPERIENCE OF "MATLAB 6.0"® USE IN THE SIMULATION OF THE PULSE-PHASE CONTROL SYSTEM OF THE THYRISTOR VOLTAGE REGULATOR WITH THE ACTIVE-INDUCTIVE LOAD
Authors: Hamzaoui Abdelaziz , Melikhov Artem , Tsukanov Vadim , Kolokolov Yuriy
Published: February 2021

The paper is dedicated to the realization of the structural model of the pulse-phase control system (PPCS) of the thyristor voltage regulator (TVR) with an active-inductive (RL) load in the medium of "MATLAB 6.0" ® Describing the possibilities of "MATLAB 6.0" ® in the dynamic systems simulation, some problems connected with the use of special instrument means, included in structure of Toolbox Simulink Library, are examined.
OPTIMAL POLAR QUANTIZATION OF COMPLEX VARIABLES WITH CIRCULARLY SYMMETRIC DENSITIES
Authors: Perić Zoran , Bogosavljević Srdjan , Jovanović Aleksandra
Published: February 2021

In this paper we consider quantization of complex variables and mean-square error (MSE). The best polar quantizer is Wilson’s unrestricted polar quantizer (UPQ) [1]. The MSE minimization is constrained only by the total number of quantization points, N. Our method is different from Wilson’s algorithm [1] that has predetermined number of points Mi at each magnitude level i, 1?i?L, which makes it impractical for large number of points. In our approach, we consider MSE as a function of the vector M= L i i M ? ? 1 ) (whose elements are numbers of phase quantization levels at each magnitude level. The Wilson's method finds the optimal quantizer in such a way that the decision and reconstruction levels r, m are iterative found for each combination M, while the optimal combination is found by searching all combinations. Wilson's algorithm cannot be applied for middle and great N. The asymptotic analysis of the polar quantizers with circular symmetric densities is given in [2]. This analysis is approximate and cannot be applied for any number of points and for great N, which will be shown in this paper. We define the extension of the MSE over RL (denoted by MSE(P)). We prove the convexity of this function and show an efficient way to find M= L i i M ? ? 1 ) (by Popt. Our algorithm consists of two main iterative processes. The first iterative process finds Popt, ropt, mopt with ? accuracy, while the second iterative process determines Mopt, mopt, ropt using Popt as the starting value. This paper eliminates incompleteness from [1] and [2]. We also give an example of the quantizer construction for a Gaussian source. The authors see their work as a contribution in knowing the best possible solution in these classes of problems and also a possibility of applying the technique exposed inhere on other classes of problems and on larger dimensions.
MODEL-BASED METHOD TO MEASURE THERMAL COMFORT IN BUILDINGS
Authors: Spasokukotskiy Konstantyn , Trankler Hans-Rolf , Lukasheva Kateryna
Published: February 2021

This paper describes a practical method of measurement a HVAC control new variable. The method is based upon model-based estimation of thermal comfort. The thermal comfort is the only physical value, that truly corresponds to the changed (due to dynamic processing) environment conditions in buildings. The dynamic processing is a consequence of a modern demand-driven decentralized room climate control, that has been presented earlier, or a consequence of improvement of wall thermal insulation, that is beyond the limits of the actual insulation standards (for example 2002 - Energy saving regulations in Germany). The differences between various model types will be discussed. Some results will be shown for the realized model type.
MATHEMATICAL MODELLING OF PROBLEM ON NON-LINEAR FLUTTER OF VISCO-ELASTIC SHELLS
Authors: Khudayarov Bakhtiyar
Published: February 2021

In this work is investigated the flutter of viscoelastic cylindrical shell streamlined by gas current. The basic direction of work is consisted in taking into account of viscoelastic material’s properties at supersonic speeds. The vibration equations relatively of deflection are described by Integra-differential equations in partial derivatives. By Bubnov-Galerkin methods reduced the problems to investigation of system of ordinary Integro-Differential Equations (IDE). The IDE are solved by numerical method, which based on using of quadrature formula. The algorithm of the numerical solution on the basis of the method was described. Critical speeds for cylindrical shell flutter are defined. The influence of the viscoelastic property of the material, geometrical and aerodynamically non-linearity to the current value of critical speed and amplitude-frequency characteristics of the cylindrical shells was analyzed.
VALIDATION OF A SURVIVABLE PUBLISH-SUBSCRIBE SYSTEM
Authors: Singh Sankalp , Agbaria Adnan , Stevens Fabrice , Courtney Tod , Meyer John F. , Sanders William H. , Pal Partha
Published: February 2021

We describe, with respect to high-level survivability requirements, the validation of a survivable publish subscribe system that is under development. We use a top-down approach that methodically breaks the task of validation into manageable tasks, and for each task, applies techniques best suited to its accomplishment. These efforts can be largely independent and use a variety of validation techniques, and the results, which complement and supplement each other, are seamlessly integrated to provide a convincing assurance argument. We also demonstrate the use of model-based validation techniques, as a part of the overall validation procedure, to guide the system’s design by exploring different configurations and evaluating trade-offs.
MODERN APPROACHES OF SECURING COMPUTER NETWORKS FROM DENIAL OF SERVICE ATTACKS
Authors: Piskozub Andrian
Published: February 2021

The aim of this paper is to understand reasons why denial of service (DoS) attacks are happening; to find ways how to avoid these attacks or lessen their influence; to work out strategy of detecting and preventing these attacks.
MULTIPLE NEURAL NETWORK MODELS GENERATOR WITH COMPLEXITY ESTIMATION AND SELF-ORGANIZATION ABILITIES
Authors: El-Khier Bouyoucef El-Khier , Chebira Abdennasser , Rybnik Mariusz , Madani Kurosh
Published: February 2021

In this article we present a self-organizing hybrid modular approach that is aimed at reduction of processing task complexity by decomposition of an initially complex problem into a set of simpler sub-problems. This approach hybridizes Artificial Neural Networks based artificial intelligence and complexity estimation loops in order to reach a higher level intelligent processing capabilities. In consequence, our approach mixtures learning, complexity estimation and specialized data processing modules in order to achieve a higher level self-organizing modular intelligent information processing system. Experimental results validating the presented approach are reported and discussed.