Volume: 1, July 2017
Subtitle: Proceedings of The International Conference on Information and Digital Technologies 2017
Publisher: IEEE, JMTM
Indexed:IEEE Xplore ISBN: 978-1-5090-5688-0 (USB)
IEEE Catalog: CFP17CDT-USB
ISSN: 2585-7614
Abstract: The aim of this study is to evaluate Healthcare Enterprise Information Systems from both system and user perspectives. The study uses a structural equation modelling to analyse the impacts of healthcare information systems on employees performance and health care service provided by hospitals. This was measured using several dimensional factors including, system quality, service quality and information quality. The study used a questionnaire survey to gather data from healthcare organizations and their staff in different departments and at different levels. The study findings indicated that Hospital Enterprise Information Systems (HEIS) helped improve service quality by providing complete and accurate information related to patients and patient service processes
Abstract: "This paper is devoted to discrete-continual method of analysis of coupled system "plate-soil foundation" in context of microseismic and gravitational processes in foundation. This method is called discrete-continual because it presupposes finite element approximation with respect to space coordinates while corresponding problem remains continual in time. This reasonable combination of numerical and analytical approaches offers numerous advantages and provides a high degree of accuracy. Time discretization is not required and therefore this appreciable fact in its turn leads to considerable reduction in computing time and number of operations. Due to specificity of initial data standard step-by-step methods couldn’t meet the challenge for the considering problem. Brief introduction to the problems of geological efficiency of microseismic processes in foundations is provided. Original formulation is based on elastic theory and linear creep theory. Special soil model allowing propagation of plastic deformations and nonlinear model of soil foundation under cyclic loadings are used. Being foreground subject of the paper, discrete-continual method is considered in the aspects of theoretical basics, numerical implementation and software packages. Numerical example is presented as well."
Abstract: Development, research and verification of correct mathematical models and methods of structural mechanics are the most important aspects of ensuring safety of buildings and complexes. The distinctive paper is devoted to semianalytical solution of multipoint boundary problems of structural analysis with the use of combined application of finite element method and discrete-continual finite element method. Structures containing parts (subdomains) with regular (in particular, constant or piecewise constant) physical and geometrical parameters in some dimension are under consideration. Operational formulations of two-dimensional and threedimensional problems of structural mechanics with the use of socalled method of extended domain, corresponding numerical implementations (including construction of discrete (finite element) and discrete-continual approximation models for subdomains) and numerical examples are presented.
Abstract: Design and simulation problems of high power fullbridge boost converter with 175…320 VDC supply voltage are considered. The converter under investigation consists of a fullbridge inverter, a boost high-frequency transformer, a diode rectifier connected to a capacitive filter and an active load. Additional inductance, connected in series with the transformers primary winding, is brought in the converters structure to achieve soft commutation of power switches and limitation of the current switched by them, in order to improve the reliability of the device and increase its efficiency of energy conversion. Selection of the additional inductance value is an important task, because too much of it could not allow to provide load power requirements, and too small of it could bring about defects of expensive power semiconductor elements. The choice of additional inductance is also complicated by the difficulty of measuring the transformer leakage inductance with sufficient accuracy. This problem is solved using the proposed method of selection the additional inductance value, based on an analysis of the mathematical model and on an analytical description of the output inverter current curve. We also propose increasing of energy transformation efficiency by variation of the PWM carrier frequency. The curves that measured on real device 100 kW (175 ... 320V / 610V) show correctness of the model and the proposed method of selection of the carrier frequency and the additional inductance value.
Abstract: Progress in the development of simulation tools makes it possible to conduct experiments with blood flow containing a large number of solid objects, typically red blood cells (RBC). In our work we designed and verified a set of statistical methods allowing to either confirm or deny the compliance of the behavior of such simulations and real experiments. Rotation (angular speed) of RBC during their movement has proven to be a highly sensitive and precise tool to this exploration. In our article, we compare and confirm the compliance of several methods of measuring and detecting this parameter and its sensitivity to changes in the duration of the experiment. We use Discrete Fourier Transform (DFT) method and rank correlation methods as a key mathematical tool.
Abstract: This paper deals with the dependence of Constant Rate Factor (CRF) on the bitrate for most commercial used compression standards H.264 and H.265. The measurements were done for eight different video sequences with high resolutions (HD, Full HD, Ultra HD) depending on content. The results indicated biggest differences in the coding efficiency in CRF range from 10 to 20 and from 40 to 51 by both mentioned codecs.
Abstract: E-government is an important tool for public sector transformation. The number of e-services available on government websites continues to grow by leaps and bounds. The usage of mobile technologies in the public administration not only provides an alternative communication and services channel for citizens, but also allows to go further. M-government is emerging as the next big wave for ICT use in the public sector. The aim of this article is to find out what are the factors that affect user acceptance of mobile e-government services or how can we motivate the citizens to utilize services. This paper applies the technology acceptance model to explore users' requirements for the adoption and usage of e-government services.
Abstract: Online social networks have billions of users worldwide when combined and they still keep increasing this amount. Their users typically develop trust relationships with the accounts of other users. But large numbers of users and potential gains from abuses of the trust relationships have attracted the attention of cyber-criminals. Therefore, it is important to stop accounts from being compromised by these criminals. In this paper, an anomaly model trained on the previous login data of users is applied to detection of compromised accounts. The login data comes from the Pokec online social network, which is the largest community in Slovakia where people can meet others and talk to their friends. The anomaly model watches sudden changes in the behavior of a user trying to log in to her or his account. A change in the behavior can indicate an attempt from someone else to compromise the account of the user. The efficiency of the anomaly model is validated with computation of measures such as sensitivity, specificity and overall accuracy. Achieved results are promising with a real potential to detect compromised accounts.
Abstract: An idealized industrial group, consisting of two enterprises with vertical cooperation, is considered in this paper. We assume that the both enterprises, having necessary production capacities, act on the product markets once as the partners and once as the independent actors. The main problem of this kind of cooperation is to find the optimal conditions for the production programs for the both enterprises. The possible way of the mathematical problem formulation, as well as its relation to the optimal control problem, is the essence of this paper. The theoretical backgrounds for the solution of the optimal cooperation production program are developed using the Dubovitski-Milyutin method.
Abstract: This paper describes the fault tolerance comparative analysis of a battery electric energy storage consisting of multiple battery submodules and fuel cell electric energy source for the traction drive of an electrical helicopter. The entire propulsion system reliability assessment is based on the reliability evaluation of the system components including electric energy sources. Considering the high requirements on reliability and fault tolerance, including the strict limitations on the installation space and weight of the overall system, the accurate assessment and correct choice of the type and design features of such energy sources is extremely important. Regarding the task of minimizing the weight and size of a storage device, in terms of a system approach, optimal types of electric energy source at today's technological level have been discussed and recommended.
Abstract: This paper describes a methodology of quantitative assessment of the fault tolerance of the multi-state safety-critical systems with functional redundancy. Such systems are the traction drives of electrical vehicles, consisting of the multiphase traction electric motor and multilevel electric inverter. It is suggested to consider such traction drive as a system with several degraded states. As a comprehensive parameter for the quantitative evaluating the fault tolerance, it is proposed to use the criterion of degree of the fault tolerance. For the approbation of proposed methodology, based on the multi-state system reliability Markov Model, the fault tolerance assessment of the traction train of an electrical helicopter has been carried out.
Abstract: Main objective of this paper is research and development of the previously developed original methodology so that to be used for unavailability calculation of a complex maintained system with maintained (both preventively and correctively) and ageing input components with optional distributions of the time to failure. Original computing methodology results from the stochastic alternating renewal process. Models I-III (for non-repairable component, repairable with both apparent and hidden failures) are in this paper completed by new Model IV with calendar based preventive maintenance policy in which the component is renewed as soon as it reaches a prescribed deterministic age. These models represent all frequently used component models with both preventive and corrective maintenance. Models were solved both analytically and numerically. Found component unavailability functions are used to quantify unavailability of a complex maintained system, here is used real power distribution network. System is represented by the use of directed acyclic graph, which proved to be very effective system representation for computing highly reliable systems.
Abstract: Power electronics converters applied in domestic or similar installations may utilize current delay (phase) angle control to change the level of transferred power. Due to application of such types of converters, earth fault current in the installation may be strongly distorted. The current distortion level depends on a value of current delay angle. This delay angle also influences the tripping threshold of residual current devices. In this paper, computer modelling of the impact of current delay angle on behaviour of residual current devices is conducted. Results of laboratory tests of the tripping of residual current devices are discussed. Conclusions regarding electrical safety are presented as well.
Abstract: In this paper a 2DOF Stewart platform for research and education in control systems and computer vision is described. We built parallel kinematic robotic platform for research nonprehensile manipulation tasks. It can be effectively used in the learning process using active educational methods. In this work we present four lab experiments of this setup at the course ”Software of the mechatronics and robotics systems”, which is being given at the Department of Control Systems and Computer Science, ITMO University. The main goal is to study students the basics of computer vision and control theory.
Abstract: This article is an implementation of the results described in earlier papers for odometry modelling and navigation system synthesis. It’ll be part of the introduction in Erasmus+ Innovative Open Education on IoT. It’s already used for MOOC course published on national education platform https://openedu.ru/, the e-learning control theory course used in ITMO University. The main goal of this course to give to the students an idea of the connection formulas, models and physical objects. The course consists from the DC-motor parameters identification, engine model description, linear and nonlinear controllers implementation, encoders and IMU-sensors odometry motion model.This experience was used for a formulation the navigation problem with the NXT differential drive mobile robot. Based on the method proposed in [1] the robot to goal movement with the obstacle avoidance task was solved. It presents a simple and demonstrative example for choosing a Lyapunov function candidate for controller design for a nonlinear system based on the robot-goal distance and the orientation error regarding the goal position.
Abstract: Adjacent and co-channel interference is one of the biggest problems in the IEEE 802.11 standard. It is believed that the issue mainly concerns the 2.4 GHz band due to insufficient number of non-overlapping channels. Co-channel interference occurs in both bands, however, and it is associated with the channel assignment method. The authors analyzed the level of interference in both bands for two AP distributions on the X-Y plane. The first distribution was symmetric, while the second one was a part of an actual multi-flat building. The Minimum- Spanning-Tree-Inspired (MISTI) algorithm, previously developed, was used for the channel assignment.
Abstract: Throughput in IEEE 802.11 networks depends on a large number of factors related to the standard version, transmission conditions in the radio channel and a number of users of the network. In addition, the bit rate obtained for the actual conditions is significantly different from the theoretical maximum bit rate defined in the standard as it can be only the part of the maximum bit rate. The authors conducted an analysis of the efficiency of throughput in a Wi-Fi network compatible with the IEEE 802.11n, standard using the latest version of the NS-3 simulator. NS version 3.26 allows, among others, to analyze the impact of interference on the obtained bit rate, using a new model of the Wi-Fi physical layer called SpectrumWifiPhy.
Abstract: We consider the integrated fractional Brownian motion with Hurst index 0 < H < 1. The main aim consists in studying its links with the quasi-helix with approximately stationary increments class of centered Gaussian processes. More precisely, we compute some well-chosen quantities which depend on the moments of the integrated fractional Brownian motion. Firstly, we check if one can obtain appropriate upper or lower bounds of the above quantities. Secondly, focusing our attention on the small increments of the integrated fractional Brownian motion we derive an equivalent. Some surprising facts are observed. Next, we consider the mixed integrated fractional Brownian motion. Its main properties are studied. We also determine the values of H for which this process is a semimartingale. Finally we compare the results obtained for the mixed integrated fractional Brownian motion with those obtained for the mixed fractional Brownian motion and for the sub-mixed fractional Brownian motion.
Abstract: This work presents a review of the progress in the development of the numerical methods for sample paths simulation of stochastic differential equations. The error of approximation, the order of the convergence, the stability improvement for Euler methods (explicit, implicit and composite schemes) are studied theoretically as well as numerically. MathLab programs support all the illustrations.
Abstract: In this paper we propose improvements to the Micro-packet Transfer scheme in a multi-core device (also called reconfigurable VLSI or Network-on-chip). In particular we propose a new hierarchy based micro-packet control scheme that is especially effective for tasks require large number execution clock steps.
Abstract: The monitoring of the ambient working conditions is a crucial part in occupational medicine. A wearable system for monitoring environmental conditions including physical and chemical parameters is introduced. The system operates based on an integrated and add on-board multi-layer sensors and fusion approach. It uniquely consists of only a small and light wristworn device which embeds a microcontroller board with integrated temperature, humidity and barometer sensors (Physical parameters), add on-board gas sensors (Chemical parameters) in second top layer for monitoring hazardous gases in air and a vibration motor placed under of the board. For an early notification of the user about ambient parameters a haptic feedback pattern is actuated using a micro embedded vibration motor. Data are also sent to a smart phone simultaneously. The collected data are used to monitor the ambient environment and establish a long-term individual profile for employees in realtime. With this paper we introduce the system architecture. Efficiency, performance and power consumption of such unique multi-layer multi-parameter monitoring device in size and weight are evaluated.
Abstract: Increasing the safety of a navigation lock, by creating a modern and efficient communication between the human operator and the machine, for a prompt and accurate information offered to the operator, about the status of the equipment it serves, it is a requirement of today navigation worldwide. This paper aims to describe the implementation of a modern and efficient centralized tracking equipment for both operation and preparation of informative reports on operating activities, applied to a Danube Hydro Power Dam and its Locks. An up to date solution for all these issues consists in a SCADA system disposed on several hierarchical levels. The system thus gains greater reliability, increased modularity, and flexibility in operation. A simplified human-machine interface (interface between user and system) is one of the fundamental characteristics of these applications. Dedicated software development has led to an effective dialogue between the human user and the system implemented.
Abstract: Complexity is a term that is currently used not only in research articles but also in the methodologies and standards used to manage information and projects. The complexity can represent the size of a system, process, program or project, the number of functions and the cost of their acquisition, operation and maintenance. Within the context of this work, the complexity is a variable that represents system properties such as legibility, clarity, comprehensibility, usability, modifiability, easiness of implementation or predictability. With increasing complexity, these characteristics deteriorate and the system becomes more difficult and less effective, for example by increasing its cost, increasing the use of resources, increasing the time and expenses needed for training or maintenance, which may result in a loss of profit for businesses. Different systems or their parts can be compared by complexity measurement. If the system contains elements or bindings that are not necessary, simpler solutions can be created so that its complexity is minimal. This paper presents the process of quantification of complexity in Petri nets and then compares it with other existing approaches. The advantage of the presented complexity measure is the possibility to examine this variable at different levels of system load.
Abstract: The paper suggests an adaptation of a grouping genetic algorithm for solving the capacitated p-median problem. We propose a new encoding of the individual solutions that enables an efficient implementation of the crossover operation. A hybrid metaheuristic that combines the grouping genetic algorithm with the post-processing solver is proposed as well. Numerical experiments performed on benchmark instances proved the predominance of the grouping encoding over the standard encoding.
Abstract: This paper represents possible approaches to cyber security assurance for implementation the configuration process of Field Programmable Gates Array (FPGA) based platform for safety critical applications. It also contains results of conducted analysis for secure configuration process in existing platforms, similar in terms of functionality, but based on different technologies. Protection concepts for RadICS Platform Configuration Tool (RPCT) and appropriate license key file are presented. Requirements to key management system are provided considering RPCT features.
Abstract: The paper includes results of the theoretical research and practical application of soft-processors testing, in particular Nios compiler of Altera SoPC Builder core. The model is based on Model-Based Testing concept. ForSyDe programming formal language is used as instrument for the development of softprocessor reference program model. Stages of model development with the follow-up analysis and comparison of performance results are introduced.
Abstract: The paper is devoted to a comprehensive modelling of the influence of the operation process and the climate-weather change process on the safety of a critical infrastructure. Particular models of critical infrastructure safety influenced by its inside among its components and subsystems dependences and by its outside operating environment threats and climate-weather hazards are created and a reasonable perspective for their further developments and applications is marked out. A set of safety indicators for a critical infrastructure is proposed and the simplified procedures of their determination in the case of the created models of critical infrastructure safety are proposed and illustrated.
Abstract: The paper is concerned with an application of the simplified impact model of critical infrastructure safety related to climate-weather change process to safety and risk prediction for port oil piping transportation system operating at the variable climate-weather conditions. There are presented the identified piping system safety parameters and the climate-weather change process parameters and characteristics. Moreover, there are presented evaluated by experts the coefficients of the climateweather impact on the piping subsystems intensities of ageing. Further, there are determined the three-state system safety function, the expected values and standard deviations of the lifetimes in the safety state subsets and in the particular safety states, the risk function, the fragility curve and other safety and resilience indicators for port oil piping transportation system.
Abstract: The paper is concerned with an application of the simplified impact model of critical infrastructure safety related to climate-weather change process to safety and risk prediction for Baltic Oil Terminal Critical Infrastructure operating at the variable climate-weather conditions. There are presented the identified oil terminal safety parameters and the climate-weather change process parameters and characteristics. Moreover, there are presented evaluated by experts the coefficients of the climateweather impact on the oil terminal assets intensities of ageing. Further, there are determined the three-state critical infrastructure safety function, the expected values and standard deviations of the lifetimes in the safety state subsets and in the particular safety states, the risk function, the fragility curve and other safety and resilience indicators for the Baltic Oil Terminal Critical Infrastructure.
Abstract: The paper is devoted to the climate influence on the safety of a critical infrastructure defined as a complex system in its operating environment that in the case of its degradation have significant destructive influence on the health, safety and security, economics and social conditions of large human communities and territory areas. The method based on the joint model linking a multistate approach to critical infrastructure safety with a semi-Markov modelling of the climate-weather change process at the critical infrastructure operation area is proposed to the safety analysis and prediction of critical infrastructures impacted by the climate hazards.
Abstract: The paper is devoted to the critical infrastructure safety impacted by climate-weather change. A simplified safety model of the critical infrastructure influenced by the climate-weather change process at its operating area is proposed. This model is linking critical infrastructure multistate safety model and the model of the climate-weather change process at its operating area. The conditional safety functions at the climate-weather particular states and the unconditional safety function of the critical infrastructure at changing in time climate-weather conditions, the mean value and the variance of the critical infrastructure unconditional lifetime and other safety indicators are defined.
Abstract: Spatial information is required by many users to support their decision-making. Application that provide spatial information may be quite complicated so evaluation of their usability is very important. Usability evaluation can help to improve their design or how to choose better application. Many various methods have been proposed. The paper describes a case study which uses combination of usability user testing and NGOMSL model to evaluate usability of chosen Web-based applications by means of calculating a utility. Case study shows that very similar results are obtained by both methods. Average time necessary for usability evaluation is shorter in the case of NGOMSL model.
Abstract: Smart City is a very popular concept as the advancement in technology bring new possibilities how to make life in cities easier and more comfortable. Whereas the technical part of Smart City concept is highly discussed in research articles, impact on social part of this system is not in the center of interest. This article aims to contribute to the complex view of this concept. First we discuss different concepts close to Smart City and based on literature review to evaluate involvement into technical or social research areas. Then we use Leavitt’s model adapted for Smart Cities to discuss all interconnected elements. Last part describe plans for Pardubice Smart City in the view of Leavitt’s model.
Abstract: This paper focuses on an analysis of data from elderly patients (aged 65 and older) who underwent an elective operation of colon or rectum in the years 2001-2009 at the Department of Surgery of the University Hospital Ostrava. The main purpose is to determine the main risk factors leading to serious postoperative complications or even death in consequence of the operation. Our results will serve as a foundation for creating a reliable predictor model that will assess the overall health of the patients and the potential benefits (and risk) of the operation, leading to a reduction in incidence of serious postoperative complications of the operation and an improvement in the quality of life for the seniors. For the primary analysis we used the logistic regression methodology.
Abstract: A Multi-State System (MSS) is a mathematical model in reliability engineering that allows representing investigated system/object using several performance levels from perfect working to complete failure. A new approach for the analysis of a MSS based on mathematical methods of multiplevalued logic is proposed in this paper. In particular, the method for the calculation of critical system states is presented.
Abstract: Database management requires fast and reliable access to the data stored in the database for complex evaluating in intelligent information systems. Significant data amount must be handled, stored and consequently retrieved for analysis. Each data tuple is delimited by the time of occurrence or reflected by the validity. Temporal database approach uses various architectures based on data structure and characteristics. Object oriented approach is on the one side, the second type is covered by the attribute oriented approach. In this paper, we define interlayer based on synchronization resources to reduce the cost of the server processing, which requires data group management over the time with regards on data group member loss. Thanks to that, performance is significantly improved resulting in temporal query performance optimization.
Abstract: Abstract—Temporal databases are characterized by significant data amount monitored over the time. Such values are stored with regards on validity during the whole time spectrum supporting decision making, reliability definition, analysis, progress monitoring and creating future prognoses. When dealing with various granulairty of changes, management must be shifted into attribute granularity level to remove duplicates. In this paper, we define our own proposed temporal architecture with regards on element registration in the system. Whereas data model, defined attributes as well as temporality definition evolve over the time, it is necessary to create complex environment and possibilities for dealing with these changes and reflections to the temporal management layer. I tis done by temporal registration concept.
Abstract: In this paper the intermediary visual content verification method based on multi-level co-occurrences is studied. The co-occurrence statistics are in general used to determine relational properties between objects based on information collected from data. As such these measures are heavily subject to relative number of occurrences and give only limited amount of accuracy when predicting objects in real world. In order to improve the accuracy of this method in the verification task, we include the context information such as location, type of environment etc. In order to train our model we provide new annotated dataset the Advanced Attribute VOC (AAVOC) that contains additional properties of the image. We show that the usage of context greatly improve the accuracy of verification with up to 16% improvement.
Abstract: In this paper we propose an analytic approach to the variable sifting based on weighting of qubits and gates. The proposed scheme allows to optimally sift gates (multi-control single-target reversible gates) within a linear number of steps of computation and provides in general smaller amount of SWAP gates required to transform a reversible circuit into an Linear Nearest Neighbor (LNN) model than other competing approaches. The method is analyzed for two different models of implementations, is verified on experimental data and results are compared to the state of the art algorithms for the design of LNN circuits.
Abstract: An approach for detection and segmentation of individual buildings on space images and aerial photos is proposed. The approach allows intuitively constructing the system of rules to select objects without prior training, using only simple geometric characteristics of their form.
Abstract: Teaching of human anatomy at Faculty of Medicine of Pavol Jozef Šafárik University in Košice, Slovakia is based on combination of lectures and practical lessons. Modernization of curricula changed traditional teaching methods and brought new technologies into the education process during past decade. Because of positive improvements including visualization of individual anatomical structures, these changes were accepted quite well by both the teachers as well as by the students. However, the range of lectures and practical lessons was reduced to 126 teaching hours respectively, taught during first and second study year. Also, the lack of cadavers and increased number of students was considered as a problem that may affect not only the students’ competence but also their confidence in later clinical praxis. These, from our point of view, negatives were a big challenge for us to keep cadaveric dissections in practical lessons and to support preparation phase of learning by imaging and multimedia resources.
Abstract: The aim of this study is to highlight the impact of social factors on the outcome of well-known experimental situations, as the exchange paradigm of Knetsch, used to measure the endowment effect. This bias in decision making brings individuals to assign a widely greater value to an object when they own it. Using a humanoid robot NAO taking the place of the experimenter and left alone with the participant permits to standardize the social factors and the pragmatics engaged within any participant-experimenter interaction. This feature allowed us to validate the hypothesis that the endowment effect could be produced by pragmatical factors, as politeness rules, inherent to all exchange situations between humans. As a continuation of our previous work presented for IDT 2016, we refined our choice of programming methods, keeping a “Wizard of Oz” method for any time the robot must appear as a social entity and applying a completely preprogrammed behavior when all pragmatic factors related to the presence of an experimenter should be annihilated. These methods were applying to the exchange paradigm. We based here on the same paradigm to measure the endowment effect, the exchange paradigm of Knetsch, and using a NAO robot to conduct the experiments. But in contrast with our previous works, a dissociation of programming technics was introduced: a wizard of Oz and fully pre-programmed behavior. After finding that results obtained do not differ regarding the programming technic chosen from previous experiments, we set up a new pilot study to find out if a specific nonverbal clue emitted by the experimenter and varying within a single fixed method (fully preprogrammed behavior) would be sufficient to produce an endowment effect. For this purpose, the first results obtained by only varying the voice intonations of the robot show that vocal features can constitute an important factor for a human individual to activate the application of social standards towards a robot, bringing him to produce an endowment effect.
Abstract: The paper considers a class of symmetric Boolean functions called Reed-Muller type Fundamental Symmetric Functions, it reviews some of their properties and presents some new ones. The main contribution of the paper is a proof that the Reed-Muller transform of a symmetric Boolean function is also symmetric and that of a rotation symmetric Boolean function is also rotation symmetric. Since symmetric n-place Boolean functions may be given a compact representation with a value vector of n+1 elements and this holds also for its Reed-Muller spectrum, some methods are reviewed, to calculate the Reed- Muller spectrum of a symmetric Boolean function based on its compact value vector. Furthermore a method is presented to calculate the Reed-Muller spectrum of a rotation symmetric Boolean function from the compact value vector representation of the function.
Abstract: In this paper the method of dynamical properties of flow in some eye vessels is described. It is based on algorithm of segmentation on base CNN, morphological processing and optical flow. It allows to define new properties of changing blood flow in vessels that is depends from structure of vessels net.
Abstract: First of all, the railway traffic control process should ensure the safety. One of the current research areas is to ensure the security of data in the distributed rail traffic control systems using wireless networks. Emerging security threats are the result of, among others, an unknown number of users who may want to access the network, and an unknown number and type of equipment that can be connected to the network. It can cause potential threats resulting from unknown format of data and hacker attacks. In order to counteract these threats, it is necessary to apply safety functions. These functions include the use of data integrity code and encryption methods. Additionally, due to character of railway traffic control systems, it is necessary to keep time determinism while sending telegrams. Exceeding the maximum execution time of a cryptographic algorithm and creating too large blocks of data constitute two critical factors that should be taken into account while developing the system for data transmission. This could result in the inability to transmit data at a given throughput of the transmission channel (bandwidth) at a certain time. The paper presents analysis of delays resulting from the realization of safety functions: such as to prepare the data for transfer and their later decoding. Following block encryption algorithms have been analyzed: Blowfish, Twofish, DES, 3DES, AES-128, AES-192 and AES-256 for modes: ECB, CBC, PCBC, CFB, OFB, CTR and data integrity codes: MD-5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512, SHA-512/224 and SHA-512/256. The obtained results can be very helpful in the development of new rail traffic control systems in which wireless data transmission is planned.
Abstract: Cells in a shear flow exhibit tumbling and tanktreading. This rotational movement is characterized by rotational frequency. In this work, we analyze and test a computational model of red blood cell by comparing simulated movement of a cell in a shear flow to the experimental data. We set up a computational experiment that recasts dynamical behavior of cells in a shear flow. We analyze the dependence of the rotational frequency of cells on the shear rate. Results show that the model including the stretching, bending, area and volume preservation moduli does not recover frequencies from the biological data. After adding the visco-elastic modulus, the simulations show compliance with the data.
Abstract: The topical information security problem of development of statistical tests for hypotheses on the discrete uniform distribution (“pure randomness”) of output sequences produced by random or pseudorandom generators is considered. For Shannon, Rényi and Tsallis entropy functionals, the point statistical estimators based on the plug-in principle are constructed. The asymptotic probability distributions of constructed point estimators under the “pure randomness” hypothesis are found in the asymptotics, when the number of observed data is comparable with the number of parameters. Interval statistical estimators of considered information entropy functionals are constructed. On the base of interval estimators the decision rules for statistical hypotheses testing on “pure randomness” of observed discrete sequence are developed. The results of computer experiments are given.
Abstract: In the paper, we consider the problem of automatic transformation of unstructured data included in real-estate listings into data arranged in a tabular form, as the so-called information tables. Transformation is an important preprocessing stage enabling us to obtain data in a form accepted by many data mining and machine learning tools. In the presented approach, information tables represent information systems over ontological graphs. In such systems, the domain knowledge covering some data semantics is directly incorporated. In the paper, we describe important aspects of a specialized computer tool created by us to automatize the transformation process.
Abstract: Last years research gave some preliminary results in approaches to customer online purchase prediction. However, it still remains unclear what exact set of features of data instances should be incorporated in a model and is enough for prediction, what is the best data mining method (algorithm) to use, how stable over time could be such a model, whether a model is transferable from one online store to another. This study is focused on a heuristic approach to dealing with the problem under conditions of such theoretical and methodological diversity in order to find a quick and inexpensive first approximation to the solution or at least to find useful patterns and facts in the data.
Abstract: Spatial data are very important for assuring quality of decision-making. Satellite images are used in many applications as a source of spatial data. Precise knowledge of number of usable (suitable) satellite images suitable for analyses is important. Statistics can be used to predict number of suitable images for a particular time period. The determination which images are suitable enough for analysis is the first step. The next step is to analyze the results of the determination of image suitability, especially with respect to distribution of images in time. This is the main topic of this paper. Statistical analyses methods are used. The main aim is to predict how many suitable Landsat images can be expected in the case of small inland water bodies observation. A part of Pardubice region in the Czech Republic is used within the case study to demonstrate the proposed procedure. The proposed procedure can be applied to other areas and regions as well.
Abstract: In a pedestrian simulation models, the waiting for service represents special behaviour that should be carefully modelled. This paper presents an approach to the modelling of queuing behaviour of pedestrians with no modifications to the movement model. The queuing behaviour of a pedestrian is defined on the tactical layer of pedestrian’s reasoning, leaving the operational movement model intact. This approach can then be easily adapted to microscopic, mesoscopic as well as hybrid movement models. Two-layer agent based architecture ABAsim with the support of BDI reasoning model of agents is utilized. Plans on the tactical layer of reasoning that define the queuing behaviour of agent will be discussed. Different types of queue creation and its automatic organisation independent of the movement model will be also presented.
Abstract: The multispectral imagery spatial resolution enhancement with logical reallocation of spectra is presented. This method includes preprocessing, subpixel resampling, subpixel neighborhood analysis and subpixel values reallocation using similar spectra spatial cross-coupling. This method intended primarily for European Sentinel-2 multispectral satellite system, but it can be adapted to other multispectral systems with nonuniform spatial resolution too.
Abstract: Getting the daily news from social media has nowadays become a common practice among people. Unreliable sources of information expose people to a dose of hoaxes, rumours, conspiracy theories and misleading news. Mixing both reliable and unreliable information on social media has made the truth to be hardly determined. Academic research indicates an increasing reliance of online users on social media as a main source of news. Researchers found that young users, in particular, are to believe what they read on social media without adequate verification. In previous work, we proposed the concept of ‘Right-click Authenticate’ where we suggested designing an accessible tool to authenticate and verify information online before sharing it. In this paper, we present a review of the problem of sharing misinformation online and extend our work by analysing how ‘Right-click Authenticate’ reduces the challenges of while improving key metrics within the Information Quality fields.
Abstract: Recruitment and selection of new employees rank to the important processes of human potential management and development. Especially the process of employee selection prepares proper conditions for a successful work performance and decides on a future progress-ability of the organizations. In a unique sector of private security, the precise realization of employee selection can solve one of the most frequent problem of the private security organizations: high fluctuation/employee turnover. The paper focuses on an experimental possibility to assign systematically, and with the high measure of exactness, the required competences of candidates to the specification of clients’ protected interests or objects. In presented experiment study, built on the basis of benchmarking, the paper presents the concept of well-known decision trees to choose best candidates. Demonstration of proposed system and method is done by public available data, where we achieved 97.27% accuracy of classification.
Abstract: The paper presents the results of numerical modeling of concrete rheological manifestations under compression, the properties of which are described by a linear model of a viscoelastic material. The computer model of concrete with viscoelastic properties selected for studies identified by experimental research results of concrete samples. Computer simulation was carried out in a software environment SIMULIA Abaqus. Evaluation of the results of numerical analysis of the concrete elements under the action of constant stress was conducted from their comparison with both the experimental and the normative values of creep strain. The conclusions reached by the results obtained are intended for researchers and designers, performing numerical analysis of concrete and reinforced concrete structures, taking into account creep and relaxation of the material.
Abstract: "The main aim of our work is future optimization of microfluidic devices used for capture of rare cells, for instance circulating tumour cells. Since the manufacture of such devices and performing biological experiments are complicated and time consuming, in silico experiments are preferable for this purpose. But first a simulation model has to be properly verified. In this article we propose statistical characteristics for comparison of simulation and biological experiments of red blood cells moving in a fluid. At the same time these characteristics allow better understanding of the course of the simulation and the behaviour of its individual components. In the first part we explore the sensitivity of some of the characteristics formulated on the grounds of the previous research to various topologies of the microfluidic channel with one solid hematocrit.The second part of the article analyzes the entire blood cell group; it focuses on their position (orientation) in the channel. To analyze the orientation, we use the principal component analysis (PCA), by means of which we can determine the statistical distribution of the directions of a blood cell set with a certain channel geometry. This characteristics describes the qualities of blood cells during a simulation, which are interesting when we are analyzing, as a targeted value, the possibility of the largest number possible of blood cells getting to the wall of the channel. We have tested the characteristics for various simulation parameters, and we have obtained interesting results."
Abstract: The paper deals with the control algorithms for discrete delayed systems with unknown inputs (disturbances) and model parameters. The control algorithm is based on the local criterion with using Kalman filters and nonparametric estimators. The example is given to illustrate the proposed approach.
Abstract: In this paper we present a concept of a camera based on a line scanning sensor. The core of the camera is a proprietary broadband MEMS-based row imaging sensor and a powerful multiprocessor chip. We present here the architecture of the camera as well as selected subblocks of the system.
Abstract: The interest in energy storage is still increasing. Energy storage units are installed in high voltage networks, medium voltage networks and low voltage distribution networks as well. These units are often used to improve power quality. One of the criteria for improving power quality is reducing voltage deviations. Depending on the type of network and specifying its R/X ratio, this criterion can be fulfilled by control of active or reactive power. This paper presents the selection of both location and rated power of energy storage units for two distribution networks with different R/X ratios. The selection is performed with the use of genetic algorithm. Effect of this selection on voltage levels in the networks is presented as well.
Abstract: "An information service (IT service) in the context of the company informatics supports to execute business processes. Business processes need to be supported by targeted and relevant information services to ensure high performance. Company management perceives the information services as a necessary part of the business process and expects their error-free performance. An IT service does not represent a concrete program application but it represents the final value given to the user, i.e. user (worker) within business process. Quality IT service means that the user gets such information service that he/she needs. Generally, business process and IT service create an interconnected unit, and this whole serves customer. IT service development life cycle is supported by the sophisticated and in practice proven methods and tools; procedures of the functional and data modelling are being applied, using a structured approach or an object oriented approach. But “voice of customer” identification exist especially on the level of business process whereas their propagation to IT service definition is not so precisely defined. Article focuses on the application of the business process tools and principles for identifying and modelling of individual IT services requirements with the aim to increase a particular information service quality as a part of quality business performance."
Abstract: In this paper, the parameters and reliability characteristics of the mixture of the failure time distribution are estimated based on a complete sample using both Markov chain Monte Carlo (MCMC) method and maximum likelihood estimation via cross-entropy (CE) algorithm. While maximum likelihood estimation is the most frequently used method for parameter estimation, MCMC has recently emerged as a good alternative. The most popular MCMC method, called the Metropolis-Hastings algorithm, is used to provide a complete analysis of the concerned posterior distribution. A simulation study is provided to compare MCMC with CE, and differences between the estimates obtained by the two approaches are evaluated.
Abstract: One of the methods to improve the power quality in electric power networks is the use of active power filters. In the article, a method of analysis of transition and quasi-steady state processes in a shunt active three-phase power filter (SAPF) was presented. The analysis of electromagnetic processes was carried out on the basis of a mathematical description of the active filter. Structural models for the simulation of dynamic processes in the shunt active three-phase power filter were developed. The results of studies of dynamic states obtained for the SAPF with independent control and current control were shown. A study of the active filter was performed with the use of Matlab-Simulink program.
Abstract: This paper presents a new approach to synthesize reversible (quantum permutative) automata from standard state tables. It uses various variants of error–detecting and errorcorrecting encodings. Next, a combination of recently introduced “EPOE circuits” as well as EXOR Lattices are used for synthesis. The goal is to compare the costs of various encodings and synthesis methods for the same machine, especially strongly unspecified one.
Abstract: solution for the traditional Bayesian classification problem in non-traditional conditions is proposed, when the distributions and a priori probabilities of classes are unknown, but a trained sample from the zero class (labeled positive) and mixed sample (unlabeled) are available. Mixed sample will be employed in the learning to restore mixed distribution and as a test sample for constructed classifier. The case with vector features containing continuous and discrete components is considered. To restore unknown distributions nonparametric kernel techniques with data-driven bandwidth are used. A new algorithm for estimating the prior probability of zero class is given using positive labeled and unlabeled samples. This allows to find a good approximation of optimal threshold for the modified Bayesian classification algorithm. Numerical verification confirms the effectiveness of the proposed classification technique even in cases of strong overlapping of class distributions.
Abstract: The share of power generated from renewable energy sources is steadily increasing. For many countries, this means an increase in power from wind or photovoltaics, which are often highly volatile. The development of the power grid to the smart grid introduces a vast amount of new sensory data that is available to plan power generation and consumption in the face of volatile generation and consumption. The vast amount of data available and new grid control paradigms such as micro grids suggests to enrich power grid control with de-centralized aspects. We propose a decentralized smart grid control architecture in which each node keeps its local power balance at an equilibrium through communication with and offers from other nodes. The system’s heart piece, the power balance, uses a Boolean model to describe the combinatorial problem of picking the most efficient set of offers to solve a power disequilibrium. It employs the XBOOLE system for efficient construction and solving of the required formulae.
Abstract: According to the World Health Organization, a stroke has been the second most common cause of death in the world in the last 15 years. An ischemic stroke accounts for almost 80 % of all cases. The University Hospital Ostrava in the Czech Republic collects various information about patients who were transported there after suffering from an acute ischemic stroke, such as the affected brain hemisphere, duration of medical procedure or presence of hypertension. The objective of this paper was finding a model which would be able to predict patient’s clinical outcome three months after an ischemic stroke based on the collected data. It was also desirable to analyse importance of the considered variables. For this purpose, the random forests algorithm was used. To avoid biased variable importance, we used an alternative approach to the random forests which uses the conditional inference trees. Firstly, the commonly used modified Rankin Scale was used for describing the patient’s outcome three months after a stroke. Secondly, only two values for the clinical status were considered, by meaning they correspond with the values 0-3 and 4-6 of modified Rankin Scale. The best performance was achieved with the second approach to description of the clinical outcome with the calculated classification accuracy 86 %.
Abstract: Electrocardiogram (ECG) signals obtained during driving simulations provide an indication of physiological response during complex driving tasks. The present study contributes to the literature on this response through the analysis of features in time-frequency representations, specifically, continuous wavelet transforms (CWTs). The main frequency band in the CWT of ECG signals, which corresponds to the heart rate, was analyzed using dispersion measures and complexity metrics (entropy and sample entropy). Results indicate that different driving conditions produce physiological responses that can be distinguished through features obtained from the CWT, which can be subsequently quantified and subjected to further statistical analysis, and used for exploring physiological responses to experimental conditions.
Abstract: Theoretical researches and simulation results, which based on numerical realization of the finite element method of three-dimensional mathematical model of the induction motor are obtained. The regularities of the distribution of the induction and magnetic field energy in the short-circuit mode and their quantitative relation for active zone and the area of the coil ends of the stator windings of the low-power asynchronous motors are defined. A new approach for three-dimensional simulation of the electromagnetic process in the induction motor, which consists in differentiating the size of the finite elements and use of approximation functions of Lagrange polynomials, witch based on finite element method are realized. It provides high convergence of numerical realization of transient processes shortcircuit mode, reducing the computation time, the requirements for computing resources and high simulation accuracy. Comparison of the energy values of magnetic field of the induction motor in short-circuit mode shows, that for Lagrange polynomials approximating the first degree, the relative error did not exceed 3,8% as compared with approximating polynomials of the third degree, while reducing the calculation time in 389 times and requirements for the computational resources - up to 10 times.
Abstract: The article shows the methods of vehicle recognition on the image sequence and its trajectory registration. As a recognition algorithm authors used Viola-Jones method with optical flow filter and the deep convolutional neural network in combination with sliding window technique for vehicle detection task. Also authors analyze approaches to registration of detected vehicle trajectories on image sequence based on its linear and angular velocities and Kalman filter. The efficiency of vehicle detection is shown in terms of the precision and recall of recognition. Quality of vehicle registration on the image sequence is estimated by the standard deviation of results from sample values. The article also shows usage prospects of proposed algorithms as a part of driver assistance system and unmanned vehicle control system.
Abstract: Healthcare systems in point are complex, inhomogeneous, highly variable, and require special mathematical representations. The structure function is offered for the mathematical representation of healthcare systems and its reliability evaluation is considered in this paper. Methods of system reliability evaluation based on the structure function are well established but deterministic. This restricts its use for uncertain or incomplete data. The structure function is constructed by a new method that is based on application of Fuzzy Decision Trees (FDTs), where input and output attributes are interpreted as component states and values of the structure function, respectively. For illustration, we consider the system of laparoscopic abdominal surgery. The analysis of these system components is implemented based on the structure function constructed with the FDT use. This structure function is formed based on incomplete data according to the new method. Laparoscopic surgery allows us to conclude that FDT-based reliability analysis is applicable for incomplete data and improved predictions in healthcare systems.
Abstract: Regression models of chromium, silicon, manganese and carbon content behavior in metal depending on the amount of added carbonaceous materials, ferrosilicomanganese SiMn17, ferromanganese FeMn78, ferrosilicon FeSi65, ferrochromium FeCr800 are obtained as a result of analysis of experimental data for bearing electric steel ??15 and ??15??-?. These models enable to forecast chemical composition of steel in order to save reducing agents and alloying elements. The structural diagram of automated information system of ladle-furnace is designed according to results of investigations.
SCSIJ, Volume 1, 2017
Volume: 1, July 2017 Subtitle: Proceedings of The International Conference on Information and Digital Technologies 2017 Publisher: IEEE, JMTM Indexed: IEEE Xplore ISBN: 978-1-5090-5688-0 (USB) IEEE Catalog: CFP17CDT-USB ISSN: 2585-7614Download:
PDF (Volume in one file)
Front Cover/ Editorial Board/ Table of Contents
Evaluation of Healthcare Enterprise Information Systems: A Structural Equation Model
Ahed AbugabahDiscrete-Continual Method of Analysis of the Coupled System Plate - Soil Foundation in Context of Microseismic and Gravitational Processes in Foundation
Pavel Akimov, Marina MozgalevaSemianalytical Solution of Multipoint Boundary Problems of Structural Analysis with the Use of Combined Application of Finite Element Method and Discrete-Continual Finite Element Method
Pavel Akimov, Oleg NegrozovPractical Implementation of High Power and Efficiency Dc-dc Full-Bridge PWM Boost Converter
Sofia Alexandrova, Andrey Baev, Michail Goncharenko, Nikolay Nikolaev, Olga SlitaMethods of Exploring the Red Blood Cells Rotation During the Simulations in Devices with Periodic Topology
Hynek Bachratý, Kristína Kovalčíková, Katarína Bachratá, Martin SlavíkInfluence of CRF Value for Compression Efficiency
Juraj Bienik, Miroslav Uhrina, Peter KortisAdoption Model of M-government Services
Renata Bilkova, Anna KralovaDetecting Compromised Accounts on the Pokec Online Social Network
Jan Bohacik, Antonin Fuchs, Miroslav BenedikovicNecessary Optimality Conditions for Enterprises Production Programs
Dorota Bochnacka, Darya FilatovaComparison of the Battery Energy Storage and Fuel Cell Energy Source for the Safety-Critical Drives Considering Reliability and Fault Tolerance
Igor Bolvashenkov, Jörg Kammermann, Hans-Georg Herzog, Ilia FrenkelMethodology for Quantitative Assessment of Fault Tolerance of the Multi-State Safety-Critical Systems with Functional Redundancy
Igor Bolvashenkov, Jörg Kammermann, Hans-Georg HerzogStochastic Ageing and Maintenance Models for Unavailability Quantification of Complex Multi-Component Systems
Radim BrisThe Effect of Current Delay Angle on Tripping of Residual Current Devices
Stanislaw Czapp, Jacek HorisznyApplication of the Stewart Platform for studying in control theory
Dmitrii Dobriborsci, Aleksandr Kapitonov, Nikolay NikolaevThe Basics of the Identification, Localization and Navigation for Mobile Robots
Dmitrii Dobriborsci, Aleksandr Kapitonov, Nikolay NikolaevInterference Comparison in Wi-Fi 2.4 and 5 GHz Bands
Iwona Dolińska, Mariusz Jakubowski, Antoni MasiukiewiczThroughput Efficiency in 802.11n Networks
Iwona Dolińska, Mariusz Jakubowski, Antoni MasiukiewiczOn the (Mixed) Integrated Fractional Brownian Motion
Charles El-NoutyThe Euler Schemes for Numerical Modeling of Stochastic Differential Equations
Darya FilatovaA Dynamically Reconfigurable VLSI Processor with Hierarchical Structure Based on a Micropacket Transfer Scheme
Yoshichika Fujioka, Michitaka Kameyama, Martin LukacA Multi-layer Multi-sensor Wearable Device for Physical and Chemical Environmental Parameters Monitoring (CO \& NO2)
Mostafa Haghi, Kerstin Thurow, Norbert StollCommand and Control Interface for a Navigation Lock and a Hydro Power Dam
Nicolae Iacobici-Luca, Flaviu Mihai Frigura-Iliasa, Doru Vatau, Petru AndeaComplexity Analysis of Business Processes
Martin Ibl, Žaneta BoruchováGrouping Genetic Algorithm for the Capacitated P-median Problem
Ľudmila Jánošíková, Patrik VasilovskýCyber Security Assurance Approaches for FPGA-based Safety Platform Configuration Tool
Vyacheslav Kharchenko, Andriy Kovalenko, Kostyantyn Leontiiev, Eugene BabeshkoModeling of Industrial FPGA-based Controllers with ForSyDe
Vyacheslav Kharchenko, Andriy Kovalenko, Artem Panarin, Eugene Babeshko, Vladimir SklyarHow to Model Operation Threats and Climate-Weather Hazards Influence on Critical Infrastructure Safety An Overall Approach
Krzysztof Kołowrocki, Joanna Soszyńska-BudnySafety and Risk Prediction of Port Oil Piping Transportation System Impacted by Climate-Weather Change Process
Krzysztof Kołowrocki, Ewa Kuligowska, Joanna Soszyńska-Budny, Mateusz TorbickiSafety and Risk Prediction of Baltic Oil Terminal Critical Infrastructure Impacted by Climate-Weather Change Process
Krzysztof Kołowrocki, Ewa Kuligowska, Joanna Soszyńska-Budny, Mateusz TorbickiAn Approach to Safety Prediction of Critical Infrastructure Impacted by Climate-Weather Change Process
Krzysztof Kołowrocki, Ewa Kuligowska, Joanna Soszyńska-Budny, Mateusz TorbickiSimplified Impact Model of Critical Infrastructure Safety Related to Climate-Weather Change Process
Krzysztof Kołowrocki, Ewa Kuligowska, Joanna Soszyńska-Budny, Mateusz TorbickiUsability Evaluation of Web-Based GIS by means of a Model
Jitka Komarkova, Pavel Sedlák, Jakub Habrman, Ivana CermakovSmart City Concept as Socio-Technical System
Hana Kopáčková, Petra LíbalováUsing Logistic Regression for Assessing the Probability of Serious Postoperative Complications after Colorectal Operations in Geriatric Patients
Veronika Kubíčková, Lubomír MartínekMultiple-Valued Logic in Analysis of Critical States of Multi-State System
Miroslav Kvassay, Jan Rabcan, Patrik RusnakTemporal Data Group Management
Michal Kvet, Karol MatiaskoTemporal Database Management
Marek Kvet, Michal KvetContext Based Visual Content Verification
Martin Lukac, Aigerim Bazarbayeva, Michitaka KameyamaAn Analytic Sifting Approach to Optimization of LNN Reversible Circuits
Martin Lukac, Pawel Kerntopf, Michitaka KameyamaBuilding Detection on Aerial and Space Images
Pavel Lukashevich, Boris Zalessky, Alexei BelotserkovskyPreparation of Medical Students for Cadaveric Anatomy using Multimedia Education Tools
Jaroslav Majernik, Lenka SzerdiováNAO Robot as Experimenter: Social Cues Emitter and Neutralizer to Bring New Results in Experimental Psychology
Olivier Masson, Jean Baratgin, Frank JametOn the Reed-Muller Spectrum of Symmetric Boolean Functions
Claudio MoragaDetection of Dynamical Properties of Flow in an Eye Vessels by Video Sequences Analysis
Alexander Nedzved, Olga Nedzved, Alexey Glinsky, Gregory Karapetian, Igor Gurevich, Vera YashinaPerformance Analysis of Data Security Algorithms Used in the Railway Traffic Control Systems
Waldemar Nowakowski, Piotr Bojarczak, Zbigniew ŁukasikDynamical Properties of Red Blood Cell Model in Shear Flow
Mariana Ondrušová, Ivan CimrákStatistical Hypotheses Testing for Random and Pseudorandom Generators Based on Statistical Estimators of Entropy
Uladzimir Palukha, Yuriy KharinFrom Unstructured Data Included in Real-Estate Listings to Information Systems over Ontological Graphs
Krzysztof Pancerz, Piotr GrochowalskiHeuristic Approach to Online Purchase Prediction Based on Internet Store Visitors Classification Using Data Mining Methods
Uladzimir Parkhimenka, Mikhail Tatur, Anna ZhvakinaStatistical Analysis of Utilization of Landsat Data in Observation of Small Inland Water Bodies
Miroslav Pasler, Jitka Komarkova, Ivana CermakovaModelling of Pedestrian Queuing Behaviour Independent of Movement Model Utilising BDI Reasoning in ABAsim Architecture
Marek Pecho, Norbert Adamko, Michal VargaMultispectral Imagery Superresolution with Logical Reallocation of Spectra
Iryna Piestova, Sergey Stankevich, Jozef KostolnyRight-click Authenticate Adoption: The Impact of Authenticating Social Media Postings on Information Quality
Pardis Pourghomi, Ahmed Abu Halimeh, Fadi Safieddine, Wassim MasriSelection of Appropriate Candidates for a Type Position Using C4.5 Decision Tree
Jan Rabcan, Monika Vaclavkova, Rudolf BlaskoSubstantiation of the Use of Viscoelastic Material Model in Numerical Analysis the Creep of Concrete Structures
Vladimir Sidorov, Katarzyna NowakThe Sensitivity of the Statistical Characteristics to the Selected Parameters of the Simulation Model in the Red Blood Cell Flow Simulations
Martin Slavík, Katarína Bachratá, Hynek Bachratý, Kristína KovalčíkováControl for Discrete Delayed Systems with Unknown Inputs and Model Parameters Using Nonparametric Algorithms
Valery Smagin, Gennady Koshkin, Konstantin KimDigital Broadband Camera based on a Line Scanning Sensor
Michal Susta, Pavel Zahradnik, Radek Klof, Petr Zalesky, Boris SimakImpact of R/X Ratio of Distribution Network on Selection and Control of Energy Storage Units
Agata Szultka, Robert Malkowski, Stanislaw Czapp, Seweryn SzultkaImplementation of Quality Principles for IT service Requirements Analyse
Stanislava Šimonová, Nikola FoltanovaMixture Failure Rate: A Study Based on Cross-Entropy and MCMC Method
Tien T. Thach, Radim Bris, Frank CoolenResearches of Transition and Quasi-Steady State Processes in a Shunt Active Power Filter
Sergey German – Galkin, Dariusz TarnapowiczComparison of Various Error-Detecting And Error-Correcting Encodings of Reversible Automata Built From Irreversible State Tables Using EPOE Circuits with EXOR Lattices
Linh Tran, Bruce Yen, Marek PerkowskiSemi-supervised Bayesian Classification by Vector Features with Continuous and Discrete Components
Vasily Vasilyev, Alexander DobrovidovAgent-Based Power Equilibrium in a Smart Grid with XBOOLE
Eric Msp Veith, Bernd SteinbachPredicting Clinical Status of Patients After an Acute Ischemic Stroke Using Random Forests
Adéla VrtkováExploratory ECG Analysis of Driving Events Using Wavelet Band Metrics
Renata Wachowiak-Smolikova, Mark P. Wachowiak, Michel JohnsonA New Simulation Approach of the Electromagnetic Fields in Electrical Machines
Dmytro Yarymbash, Mikhaylo Kotsur, Sergey Subbotin, Andrii OliinykVehicle Recognition and Its Trajectory Registration on the Image Sequence Using Deep Convolutional Neural Network
Dmitry Yudin, Alexander KnyshHealthcare System Reliability Analysis Addressing Uncertain and Ambiguous Data
Elena Zaitseva, Vitaly Levashenko, Miroslav Kvassay, Paul BarachDevelopment the Automated Information System of Ladle-Furnace Process to Predict the Content of Alloying Elements in Bearing Steel
O. Zhadanos, I. Derevyanko, Y. Proydak, O. Panchenko, A. Salnikov, O. Yakovitsky, M. Gasik