bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding the performance of gamma‐ray‐irradiated epoxy nanocomposites
Authors: Mishra Palash , Ashwin Desai Belaguppa Manjunath , Vasa Nilesh Jayantilal , Sarathi Ramanujam , Imai Takahiro
Published: October 2018

Epoxy nanocomposites being used in the high‐energy radiation zones as an insulant may undergo changes in their dielectric properties during service. In the present study, the performance of base epoxy resin (S1) is compared with epoxy resin with ion trapping particle (Sample S2) and epoxy resin with nanotitania (Sample S3) particle. The influence of gamma irradiation on nanocomposites was analysed. Corona inception voltage due to water droplet initiated discharge and contact angle reduces post‐gamma‐ray irradiation. Surface potential decay time constant reduced drastically for gamma‐ray‐irradiated specimens. Trap distribution characterisation indicated that charge mobility increases after irradiation. The surface roughness of the sample increases with the irradiation dosage. Dielectric relaxation spectroscopy shows that permittivity reduces and loss tangent increases with the gamma‐irradiated specimens. Water diffusion rate increases for the gamma‐ray‐irradiated specimen. No change in elemental composition, measured using laser‐induced breakdown spectroscopy, of test specimens was observed. The hardness of the material and plasma temperature formed during laser shine decreases with gamma‐ray irradiation intensity for Sample S1, whereas samples S2 and S3 showed only marginal variation. The performance of Sample S2 is found to be better than Samples S1 and S3.
NuSTARobservations of heavily obscuredSwift/BAT AGNs: Constraints on the Compton-thick AGNs fraction
Authors: Georgantopoulos I. , Akylas A.
Published: October 2018

The evolution of the accretion history of the Universe has been studied in unprecedented detail owing to recent X-ray surveys performed byChandraandXMM-Newton. A focus on the most heavily obscured or Compton-thick active galactic nuclei (AGNs) is missing in these studies. These AGNs evade detection even in X-ray surveys owing to their extreme hydrogen column densities, which exceed 1024 cm−2. Recently, the all-sky hard X-ray survey performed bySwift/BAT brought a breakthrough, allowing the detection of many of these AGNs. This is because of the very high energy bandpass (14–195 keV) of this instrument, which helps to minimise attenuation effects. In our previous work, we identified more than 50 candidate Compton-thick AGNs in the local Universe, corresponding to an observed fraction of about 7% of the total AGNs population. This number can only be converted to the intrinsic Compton-thick AGNs number density if we know their exact selection function. This function sensitively depends on the form of the Compton-thick AGN spectrum, that is the energy of their absorption turnover, photon-index and its cut-off energy at high energies, and the strength of the reflection component on the matter surrounding the nucleus. For example, the reflection component at hard energies 20–40 keV antagonises the number density of missing Compton-thick AGNs in the sense that the stronger the reflection the easier these sources are detected in the BAT band. In order to constrain their number density, we analysed the spectra of 19 Compton-thick AGNs that have been detected withSwift/BAT and have been subsequently observed withNuSTARin the 3–80 keV band. We analysed their X-ray spectra using the MYTORUS models which properly take into account the Compton scattering effects. These were combined with physically motivated Comptonisation models, which accurately describe the primary coronal X-ray emission. We derived absorbing column densities that are consistent with those derived by the previousSwift/BAT analyses. We estimate the coronal temperatures to be roughly between 25 and 80 keV corresponding to high energy cut-offs roughly between 75 and 250 keV. Furthermore, we find that the majority of our AGNs lack a strong reflection component in the 20–40 keV band placing tighter constraints on the intrinsic fraction of Compton-thick AGNs. Combining these results with our X-ray background synthesis models, we estimate a percentage of Compton-thick AGNs in the local Universe of ≈20 ± 3 % relative to the type-II AGNs population.
Optimization of Enhanced Geothermal System Power Generation Investment Scheme Based on Fuzzy VIKOR Model
Authors: Bu Yan , Guo Mingjing , Cheng Penghong
Published: October 2018

In the future, Enhanced Geothermal System (EGS) power generation will be a hot spot for new energy investment development. How to optimize the EGS power generation investment program is an important issue to be solved by the government and enterprises. In order to improve the accuracy of the EGS investment project evaluation, this paper proposes a technical route to optimize the EGS power generation investment program. It comprehensively considers the ambiguity of the decision attributes and the conflict between the indicators. The index is calculated using the entropy method and the order relationship method. Comprehensive weights; using triangular fuzzy numbers instead of exact numbers to reduce the loss of decision information; using a multi-criteria compromised sorting method to obtain trade-off solutions to solve the problem that investment plans cannot be accepted by all decision makers when there are multiple conflicting indicators. Finally, taking an enterprise’s EGS power generation project as an example, the effectiveness and rationality of the optimized technology route for the EGS power generation investment program are verified.
Research on the anti-Plugging Property of Permeable Concrete Pavement
Authors: Liu Dong , Liu Xia , Han Weiwei , Chen Jing
Published: October 2018

Permeable concrete pavement is a kind of porous road, which can allow rainwater to penetrate into the ground and maintain the recyclability of water resources. However, with constantly using, its voids may be blocked with the impurities in the rainwater, such as leaves, silt, etc. If that happens, the permeable function of the permeable concrete pavement will be affected. In this paper, the different structure of the permeable concrete pavement is studied, including the variation trend of the coefficient of permeability in the simulated plugging and the recovery rate of the permeable concrete pavement after cleaning and dredging. The results show that the upper small size coarse aggregate (4.75 mm to 9.5 mm) structure of the porous concrete is conducive to filter out most of the impurities, and it will reinforce the resistance to blocking of permeable concrete. But, it is not easy to recover after blockage, if the upper small size coarse aggregate is too thick. The anti-blocking performance and post-blocking recovery rate of permeable concrete are better, when the upper layer thickness is 15 mm.
Research on the Construction of Security Constrained Economic Dispatch Scenarios for Large-scale Power Grid
Authors: Huang Guodong , Xu Dan , Luo Zhiqiang , Ding Qiang , Li Min , Zhang Hongtu
Published: October 2018

Large-scale power grid security constrained economic dispatch is an effective technical means to solve the optimal allocation of resources in a large area. Based on the characteristics of dispatching plan in the State Grid Corporation, a processing strategy for optimizing objectives, planning adjustments, and basic data integration is proposed. A method of constructing a large-scale power grid security constrained economic dispatching scenario based on strategies combination is established, and the adaptability of different scenarios and the difficulty in constructing the corresponding model are analyzed. Multi-scenario construction aims at solving different problems in different scenarios and is a useful method for improving the availability and practicality of large-scale power grid security constrained economic dispatching technologies.
Physical tests in the selection of electrical lineman depending on the cardiac rhythm when working at height for the first time
Authors: Abril Ernesto A. , Abril Ernesto M. , Marín Diana D. , Abril Leonardo M.
Published: October 2018

In the present work of investigation, the pulse cardiac is monitoring with a heart rate sensor. All data record is obtained of a healthy person group, five junior and one expert electric lineman, Pulse cardiac let show the behavior of the heart when responding to physical effort and stress situation. So that we relate the required physical effort evidenced by a calorific map, the condition of stress due to the fear of falling and the variability of the cardiac pulse. Study is presented in stages. In the first stage, it is possible to demonstrate the increase of the cardiac pulse due to the effort. In the second stage, the increase of the cardiac pulse due to a condition of stress or fear is presented. Finally, in the third stage, the cardiac pulse increases proportionally. Also the cardiac pulse is monitored when descending the concrete post. A variability of the cardiac rhythm between the participants is obtained. It checks that the heart rate after an effort or stress condition becomes unpredictable for different people.
Research on Switching Model of Microgrid with Distributed Power Supply
Authors: Meiyin Liu , Zhenhua Lv , Beibei Wu , Chongyang Guo , Pingping Han
Published: October 2018

The hybrid microgrid with distributed power supply which includes wind turbine (WT), photovoltaic (PV) inverter and power converter system (PCS), not only could be connected to the power distribution network, but also can operate independently. It is realized switch from grid-connected mode to off-grid mode through the microgrid controller. Whether the microgrid can achieve smooth switching from grid-connected to off-grid has great influence on the safety and stability of the power grid. In order to accurately evaluate the influence of the microgrid switch to the distribution network, it is needed to research on the distributed source modeling technology, and establish an accurate microgrid model. In this paper, using a 400V voltage grade microgrid system with PV, WT and PCS as an example, model the internal equipment and the microgrid control system, and establish a microgrid model for simulation. At the meantime, it carries out the microgrid switch testing, and compare with the measured waveform to verify the accuracy of the model. It is confirmed the accuracy of the microgrid model by the contrast result.
A Study on the cooling effects of the park dispersions applied in PUD
Authors: Chiang Yi-Cheng , Lin Hong-Yun
Published: October 2018

Urban heat-island effect causes the vicious cycle of city high temperature. The collocation of green park space can effectively cool down the heat of city. This research studies the cooling effects of the park dispersion by simulations of PUD projects. In this study, 3 different schemes were developed and simulated by CFD software. The results show that the more disperse the parks are, the lower the site temperatures.
The Application of Economic Value Added on Green Facilities of Urban Agriculture
Authors: Hsu Kuo Wei , Liao Shang Zhen
Published: October 2018

Green facilities of urban agriculture offer a fertile ground for green innovation, such as rooftop gardens, green curtains, and indoor plant growing, which create a new forms of urban farming economy. The previous studies for cost-benefit analysis of urban agriculture indicated that green facilities could contribute both quantitative and qualitative benefits. The value of green facility strategies of urban agriculture may often be underestimated without transforming qualitative benefits to quantitative benefits. This study examined the effects of green facilities of urban agriculture development in Taiwan. The market reaction was explored by adopting economic value added (EVA) technique for the measurement of both quantitative and qualitative value contributed by green facilities. The results from this study support that there exists interaction between qualitative factors such as indirect economic benefits and social psychological benefits and quantitative factors, agricultural production and energy saving impacted by green facilities. The study concluded that consumers of urban agricultural crops are willing to pay more for eco-friendly products. The establishment of relationship between urban agricultural production and consumption can contribute to sustainability while generating economic opportunities.
Modélisation numérique des roches et fracturation : du continu au discontinu
Authors: Billaux Daniel , Dedecker Fabian
Published: October 2018

Les massifs rocheux sont des milieux généralement discontinus et hétérogènes et souvent anisotropes. Leur comportement dépend aussi bien de la matrice rocheuse que des discontinuités initialement présentes dans le massif ou se formant au cours de leur histoire. La mécanique complexe qui en résulte est souvent difficilement prévisible sans l’apport des modèles numériques continus et/ou discontinus.
Design Issues for NEM-Relay-Based SRAM Devices
Authors: Bota Sebastià A. , Verd Jaume , Gili Xavier , Barceló Joan , Torrens Gabriel , Perelló Rafel , Alorda Tomeu , de Benito Carol , Segura Jaume
Published: October 2018

We analyze the design constraints of six transistor SRAM cells that arise when using nanoelectromechanical relays. Comparisons are performed between a CMOS 6T conventional SRAM cell and various hybrid memory cells built by replacing a selection of MOSFET transistors with NEM relays. Impact on important memory cell parameters such as various reliability metrics like static noise margin and write noise margin and power consumption are evaluated from circuit simulations using a Verilog-A compact model of the nanomechanical relay. We found that the use of relays involve a new challenge in the design of SRAM hybrid devices as the readability and writeability of the resulting cells manifests a strong dependence with the value of the contact resistance of the NEM relay, a parameter that can experience important variations with the continued operation of the device.
Patient treatment prediction by continuous time random walk inside complex system
Authors: Walczak Andrzej
Published: October 2018

Stochastic resonance model for medical patient condition is proposed. Approach has been generalized by means of fractional Fokker-Planck equation and subdiffusion processes. Nonadditive entropy method has been used to achieve nonlinear fractional Fokker-Planck equation. We proved that duration of an unchanged patient situation can be estimated and fulfills rules for “fat tail” probability distribution. We also proved that probability of patient staying in an unchanged condition behaves the same. Formal rules were built on concept of similarity between real patient condition and potential well model. Such approach is new and allows new results as alternative for discrete models of prediction. Obtained results get probability for patient health parameter behavior in really detailed way.
Study of Potentials and Challenges in Unconventional Oil and Gas Industry: An Argentinian Case Study
Authors: Piragine Milagros Arengo , Shah Satya , Coutroubis Alec
Published: October 2018

The aim of this paper is to analyse literature studies towards the potential of Vaca Muerta Field in the Neuquén Basin, its current development situation and the country’s and Oil & Gas Industry background. Argentina is the second largest country in South America, which highly depends on its service and agricultural industries, been one of the major exporters of beef and soybean products. Strongly dependent on hydrocarbons, which account for 86.1% of its energy consumption, the country lost energy self-sufficiency in 2007, when it became a net importer of oil and gas. Concerns around the world about future shortages of energy were partially alleviated by the developments of commercially feasible techniques to extract oil and gas from unconventional resources, which are hard to extract due to the low porosity of the generating rock. Argentina turned to be the third and fourth larger holder of technically recoverable unconventional gas and oil respectively, mainly in the Neuquén Basin, were the second largest unconventional formation worldwide is located: Vaca Muerta is considered a world class resource, especially for its size, hydrocarbons content and thickness. It has been developed for seven years, achieving increasing production of oil and gas and improvements regarding costs, time and resources invested. As a conclusion, Argentina has vast and high-quality hydrocarbon reserves, what represents a huge opportunity for the country to recover energy self-sufficiency and its exporter position. New technologies and techniques are improving times and costs involved in the extraction of unconventional hydrocarbons in the country. In addition, the new government is taking action to improve reliability and encourage investments. All these should enhance Vaca Muerta’s development.
An outline of the method for predicting IT vulnerabilities
Authors: Zieja Mariusz , Zieja Mirosław , Stachurski Artur
Published: October 2018

Majority of the currently known quantitative models for vulnerability analysis do not allow for a comprehensive vulnerability prediction process for a selected software. The article presents the outline of the method for predicting software vulnerabilities. The presented solution is based on probabilistic properties that allow to reflect external and internal factors affecting software and determining its vulnerabilities. Also, a possible direction of further method development was described, indicating the way of improving the method with elements representing preventive measures, as a result of which it may be possible to limit or eliminate potential software vulnerabilities.
Integrated information and prediction Web Service WaterPUCK General concept
Authors: Dzierzbicka-Glowacka Lidia , Janecki Maciej , Szymczycha Beata , Dybowski Dawid , Nowicki Artur , Kłostowska Żaneta , Obarska-Pempkowiak Hanna , Zima Piotr , Jaworska-Szulc Beata , Jakacki Jaromir , Szymkiewicz Adam , Pietrzak Stefan , Pazikowska-Sapota Grażyna , Wojciechowska Ewa , Dembska Grażyna , Wichorowski Marcin , Białoskórski Michał , Puszkarczuk Tadeusz
Published: October 2018

In this paper, general concept of a new method as ‘Integrated information and prediction Web Service WaterPUCK’ for investigation influence of agricultural holdings and land-use structures on coastal waters of the southern Baltic Sea is presented. WaterPUCK Service is focused on determination of the current and future environmental status of the surface water and groundwater located in the Puck District (Poland) and its impact on the Bay of Puck (the southern Baltic Sea) environment. It will highly desired tool for land-use and environment management. WaterPUCK combines several different components and methods such as retrospective analyses of existing monitoring data sets, in situ measures and the application of various models to estimate main mechanisms and threats responsible for the pollution transport from the agricultural holdings and land-use structure to the surface and groundwater and potential predictability of environment change of the Puck District and the Bay of Puck ecosystem. WaterPUCK Service will integrate several models, such as a surface water model based on SWAT, a groundwater flow model based on MODFLOW, a 3D-ecohydrodynamic model of the Bay of Puck called EcoPuckBay and an agriculture calculator called CalcGosPuck. The WaterPUCK Service is constructed as part of the project with the same name ‘WaterPUCK’.
Performance of an automatic inspection system for classification of Fusarium Moniliforme damaged corn seeds by image analysis
Authors: Daskalov Plamen , Kirilova Eleonora , Georgieva Tzvetelina
Published: October 2018

This paper presents algorithms for pre-processing, feature selection and classifier design which are used for Parameter Refining in the task of development of an automatic system for recognition and grading of corn seeds with external signs of Fusarium Moniliforme disease. The abilities of several feature selection methods – FDR, Scatter matrices and Stepwise Discriminant Analysis and two classification methods - Support Vector Machine (SVM) and K-Nearest Neighbours (K-NN) are investigated. Design and implementation of the system also has been showed. The system could continually present one by one positioned corn kernels to CCD camera, perform a classification procedure of captured images and discharge seeds to assigned containers. The software was developed in LabVIEW environment including image analysis and classification procedures performed using MATLAB Script. Results for total error rate of 8.4% - 7.2% from preliminary classification related to 8480 seeds from16 Bulgarian varieties and total error rate of 6.95% - 20.4% for experimental results obtained with the system during the control measurements of the seed sample are obtained.
Applying Machine Learning Algorithms to Solve Inverse Problems in Electrical Tomography
Authors: Rymarczyk Tomasz , Kłosowski Grzegorz
Published: October 2018

The article presents four selected methods of supervised machine learning, which can be successfully used in the tomography of flood embankments, walls, tanks, reactors and pipes. A comparison of the following methods was made: Artificial Neural Networks (ANN), Supported Vector Machine (SVM), K-Nearest Neighbour (KNN) and Multivariate Adaptive Regression Splines (MAR Splines). All analysed methods concerned regression problems. Thanks to performed analysis the differences expressed quantitatively were visualized with the use of indicators such as regression, error of mean square deviation, etc. Moreover, an innovative method of denoising tomographic output images with the use of convolutional auto-encoders was presented. Thanks to the use of a convolutional structure composed of two auto-encoders, a significant improvement in the quality of the output image from the ECT tomography was achieved.
Infrared Thermography for Elastic Abrasive Cutting Process Monitoring
Authors: Stoynova Anna , Aleksandrova Irina , Aleksandrov Anatoly , Ganev Geno
Published: October 2018

This paper presents the features of infrared thermography (IRT) for contactless study of elastic abrasive cutting process of rotating workpieces. IRT monitoring specifics along with the experimental procedures and techniques for data analysis are discussed. IRT measurement results of the influence of workpiece rotational speed, during the processing of various materials, on heat release and heat distribution at the workpiece surface, on the cut-off wheel, the cut piece and the cutting time period are presented. The operational methodology and the results obtained can be used for optimizing the abrasive cutting of rotating workpieces.
Hidden information retrieval and evaluation method and tools utilising ontology reasoning applied for financial fraud analysis.
Authors: Chmielewski Mariusz , Stąpor Piotr
Published: October 2018

The paper summarizes a semantic association evaluation and reasoning method, utilising domain and problem solving ontologies. The method combines algorithms for data aggregation and logic reasoning utilising concrete financial data. As an outcome method supports suspicious behaviour recognition of money loundering schemes. These scenarios and schemes are implemented by the analysts using ontology-based constructs. Provided tools cover all stages of data processing starting from structural data extraction and migration, aggregation to reasoning using logic (DL and FOL) constructs. Advances in automatic reasoning and the availability of semantic processing tools encourage analysts to extend existing link analysis methods towards contextual data processing. To demonstrate presented method, a proof of concept environment IAFEC Ontology Toolkit has been described. It delivers initial financial fraud identification schemes (rules) based on set of problem solving ontologies. The novelty in such approach comes from incorporating heterogeneous types of data, which usually are processed by graph methods. The semantic tool, extend capabilities of graph-based (homogeneous) approach by delivering context-aware indirect association identification, and inference path explanation and inspection capabilities. Presented material describes the method and analytical algorithms, which demonstrate description logic reasoning and graph-based semantic association identification and ranking. Developed method has been implemented, as a Protégé OWL 5.0 environment extension, supplemented with web-services delivering distributed data processing, aggregation (not available in ontology languages). The environment provides declarative processing capabilities enabling analysts to design configurable processing flow, and new financial fraud identification schemes.
Adapting the Directive SEVESO III in the Slovak Enterprises and Identifying Problem Areas during the Years 2013 – 2017
Authors: Holla Katarina
Published: October 2018

The major industrial accidents threatening the citizens develop especially in the largest strategic chemical companies in the whole EU. The rise of such an event affects not only the people but also the environment and causes big financial losses and very often deteriorates the company´s reputation. The article reflects the changes in the area of preventing major industrial accidents during last 5 years in dependence how they are perceived by the companies. The basic threshold was the year 2013 when the new directive SEVESO III was adopted in the EU and subsequently the member states had to adapt it in their legal environment. A research was carried among the SEVESO establishments in Slovakia and the results are published in this article. In spite of the alteration of the law it is possible to identify several changes which are to be done also in the next period. The article shows the results from the statistical research, the conclusions from meetings with the SEVESO establishments in Slovakia and consultations with the competent authority – the Ministry of Environment of the Slovak Republic. The results revealed a whole range of problems which were implemented in the law already in 2015. In spite of this fact some problems persist and it is necessary to solve them in the near future. Based on the meeting with experts from other EU countries and on the comparison of the results we can say that similar problems are found also in other member states.
Nonlinear systems - describing functions analysis and using
Authors: Úředníček Zdenêk
Published: October 2018

The paper presents a basic description and examples of the use of so called descriptive functions, allowing analysing the influence of inherent and indispensable components of all mechatronic systems mechanical subsystems - so called hard nonlinearities. These parts “causing” - in addition to the centrifugal and Coriolis generalized forces- the nonlinearity of the system, can be analysed by the abovementioned method from the point of view of their origin and the estimation of the basic parameters of their frequent consequences - so-called limit cycles. After a short introduction, which introduces and explains describing functions using the example of a nonlinear system taken from the literature, some of the socalled hard nonlinear subsystems (such as the mechanical chain of robots) are shown to be used. The paper is the first part of a more extensive description analysis of nonlinear systems concept using these functions in order to enable analysis and prediction of limit cycles.
Convenient optimization strategy implemented in multivariable predictive control
Authors: Kubalcik Marek , Bobal Vladimir , Barot Tomas
Published: October 2018

A significantly important part of model predictive control (MPC) with constraints is a solution of an optimization task. The result of the optimization is a vector of future increments of a manipulated variable. The first element of this vector is applied in the next sampling period of MPC in the framework of a receding horizon strategy. In practical realization of a multivariable MPC, the optimization is characterized by higher computational complexity. Therefore, reduction of the computational complexity of the optimization methods has been widely researched. One suitable principle of precomputing operations was proposed by Wang, L. This general optimization strategy is further modified in this paper. Decreasing of the computational complexity of the optimization by using of the proposed modification is discussed.
A comparative study of two tuning rules for delayed compensation controllers
Authors: Pekař Libor , Kubalčík Marek
Published: October 2018

The focus of this contribution is on the use of two controller tuning techniques for delayed controllers designed by an algebraic approach for linear time-invariant time delay systems. The well-known Chien-Hrones-Reswick (CHR) method and the Equalization Method (EM) are used. The tuning procedure is applied to compensation-type controllers that include internal delays, and hence there can be found a link to the habitual Smith predictor structure. This study considers two typical representatives of controlled plants with both input-output and internal delays; namely, the first- and second-order (of derivatives) systems are taken. Numerical comparative experiments are presented and discussed.
Assessment of emergency supply of healthcare facilities as a module of the crisis management information system
Authors: Vichova Katerina , Hromada Martin
Published: October 2018

This paper focuses on assessing the crisis preparedness of healthcare facilities as a new module of crisis management information systems. The crisis is widespread around the world, and it is essential that the medical facility is ready. The first part of the thesis deals with the introduction to the given issue and the crisis preparedness of the population. The second part of the paper deals with the analysis of extraordinary events and crisis situations around the world. The impact of emergencies on healthcare facilities is described in this part. The third part of the thesis deals with the emergency survival of the population. The following part describes the methods used in this research. The heuristic analysis of preparedness is one of the most valuable methods. The next section presents the results of the work according to the chosen method. In this section, we will find the strengths and weaknesses of the evaluated medical facilities. At the end of the thesis is proposed a new module for evaluation of medical facilities. This module can be applied as part of crisis management information systems.
Rapid spectroscopic measurement of methanol in water-ethanol-methanol mixtures
Authors: Vašková Hana , Tomeček Martin
Published: October 2018

The paper is focused on the Raman spectroscopic analysis of methanol content in water-ethanol-methanol mixtures as this kind of mixture chemically closely relates to alcoholic drinks. Counterfeit alcoholic drinks represent losses to the economy, but especially can cause serious health risks starting from nausea, to blindness, and even death. Extensive methanol poisonings were reported in last decades in number of countries worldwide. A set of water-ethanol-methanol mixtures with a range of concentrations of methanol from 0 % to 100 % was prepared to obtain the calibration dataset, needful for quantitative assessment. Based on calibration data, test samples and alcoholic beverages were evaluated. Raman spectroscopy is used especially because of this method’s benefits as specific vibrational fingerprint, direct measurement through the bottles, no need of additional chemicals and fast response. The study confirms the rapid and accurate analysis complying with safety limits set by methanol spirits legislation.
A Two Stage Op-Amp Phase Margin Symbolic Expression
Authors: Gheorghe Alexandru Gabriel , Marin Mihai Eugen
Published: October 2018

A phase margin symbolic expression of a two stage Miller compensated operational amplifier is computed in this paper. Using this expression, an analysis to evaluate the influence of the Miller and load capacitance on phase margin is performed. This way, a designer can rapidly choose the optimal set of values to fulfil an imposed phase margin. The phase margin expression is based on poles/zeros symbolic expressions obtained using a symbolic LR algorithm able to compute both the numerical values and the approximate symbolic expressions of poles and zeros of a circuit. The numerical values obtained with this algorithm are compared with those computed by SPECTRE. The example is a two stage Miller compensated operational amplifier designed in a 180nm CMOS technology.
How the surface quality of injection mold influence polymer flow
Authors: Stanek Michal , Manas Miroslav , Janostik Vaclav , Reznicek Martin , Fluxa Petr , Moravek Jiri
Published: October 2018

Polymer injection molding is one of the most used technology of polymer processing nowadays. It enables the manufac-ture of final products, which do not require any further operations. Working of shaping cavities is the major problem involving not only the cavity of the mold itself, giving the shape and dimensions of the future product, but also the flow pathway (runners) leading the polymer melt to the separate cavities. This paper shows the influence of cavity surface roughness, polymer material (with different flow properties) and technological parameters on the flow length of polymers into mold cavity. Application of the measurement results may have significant influence on the production of shaping parts of the injection molds especially in changing the so far used processes and substituting them by less costly production processes which might increase the competitiveness of the tool producers and shorten the time between product plan and its implementation.
Minimax based congestion control for TCP network systems with UDP flows
Authors: Jing Yuanwei , Li Zanhua , Dimirovski Georgi
Published: October 2018

The congestion control problem for TCP network systems with UDP flows is considered. A nonlinear TCP network model with strict-feedback structure is established. The unknown UDP flow is considered as the disturbance to the system, and the maximum UDP flow is calculated by using the minimax approach. And then, a congestion control algorithm is proposed by using backstepping approach. Further, a state-feedback congestion controller is presented to make the TCP networks asymptotically stable. The simulation results show the superiority and feasibility of the proposed method.
Quasi Optical Multi-Ray Model For Wireless Communication Link in Millimeter Wavelengths
Authors: Rapaport Liat , Etinger Ariel , Litvak Boris , Pinhasi Gad , Pinhasi Yosef
Published: October 2018

The spectrum of millimeter waves lay above 30GHz. The band between 30GHz up to 300GHz is called Extremely High Frequencies (EHF). This wide spectrum is relatively free of users and have recently became relevant for realizations of wireless communications an radars, including the fifth generation (5G) of cellular communications. Due to the short wavelengths, the propagation of millimeter waves can be analyzed using quasi-optical ray techniques. We present a multi-ray analysis of millimeter wave wireless link in the presence of multipath. The analysis is applicable for indoor and outdoor links and considers reflections from walls and buildings. It is shown that line-of-sight is not necessarily required in scenarios where multiple reflections exist as in long corridors, canyons and tunnels. The theoretical results are verified experimentally with a link in the W-band (94GHz).
Proximate Sharing of Downloaded Geo Data Using the Vehicular Social Network (VSN) Technique
Authors: Huang Chung-Ming , Chen Yu-Fen
Published: October 2018

This work proposed a clustering scheme for Point Of Interests’ (POIs’) geo data sharing in Vehicular Social Network (VSN). In the proposed scheme, some vehicles can form a cluster to downloaded POIs’ geo data when they are approaching to a new set of POIs. One vehicle is chosen as the cluster head to download POIs’ geo data using its cellular network and shares the downloaded POIs’ geo data to its cluster members using IEEE 802.11p network. This work (1) uses GPS to get vehicles’ locations to calculate the timing of triggering the clustering process, and (2) proposes a clustering method to organize a group of vehicles that are proximate with each other for a while during their touring to become a cluster. The simulation results show that the proposed scheme can have higher available distance and higher successful ratio of the complete sharing of downloaded POIs’ geo data.
Concurrent Data Message Transmissions for Interference of Illegal Overhearing in Wireless Sensor Networks
Authors: Okuri Masahiro , Higaki Hiroaki
Published: October 2018

In wireless sensor networks, data messages containing sensor data achieved by a sensor module in a wireless sensor node is transmitted to a stationary wireless sink node along a wireless multihop transmission route in which wireless sensor nodes themselves forward the data messages. Each intermediate wireless sensor node broadcast data messages in its wireless transmission range to forward them to its next-hop intermediate wireless sensor node. Hence, eavesdropper wireless nodes within the wireless transmission range easily overhear the data messages. In order to interfere with the eavesdropper wireless nodes illegally overhearing the data messages in transmission, wireless sensor nodes whose wireless transmission ranges overlap and their next-hop intermediate wireless sensor nodes are out of the wireless transmission ranges each other forward data messages in transmission concurrently and cause collisions between these two data messages at any possible eavesdropper wireless nodes intentionally. To enhance regions where concurrently forwarded data messages intentionally collide to prevent their overhearing and to realize concurrent forwarding of data messages, this paper designes an algorithm for TDMA transmission slot assignments for more opportunities to interfere the eavesdropper wireless nodes.
Unambiguous and Reliable Positioning in the vehicle in terms of Functional Safety and Cyber Security
Authors: Krini Ossmane , Laile Edgar
Published: October 2018

Functional security and agile software development are two modern areas in product development, which initially have very opposite approaches. For example, formal tests are required by the relevant standards for the former, which must be documented very extensively. The agile software development, on the other hand, tries to come to its conclusion with as few documentation and flexible tests as possible. Also, the proof that testing and development are independent of each other for safety-critical projects is difficult in the context of the use of agile methods. However, taking the constraints of functional safety as given and taking advantage of the enormous flexibility of agile software development, e.g. With the use of Scrum, the Daily Team Meetings create new opportunities in product development. In contrast to previous positioning methods for linearly movable axles, a new developed approach for rear axle steering has not been used as an absolute value encoder, but a novel positioning concept has been researched and developed. Functional Safety first! A new safety concept must therefore be developed. The absolute value encoder, usually realized as an optical or magnetic bar-coded sensor, is used reliably but cost-effectively in a large number of systems. In order to save costs as well as space, the development of the new approach to the sensor will be dispensed with and the positioning will be realized via a new concept. The conventional concepts for position determination of axes is an absolute value encoder. However, this is not highly reliable and has no redundancy. With the new safety concept, the exact position of an axis can be determined and output with high accuracy by means of the various safety devices directly after switching on the system. As a result, the sensor system is hardly susceptible to errors. Here, a detailed error analysis has been carried out. Even after system crashes, there are enough detection points, which are constantly detected during normal operation and thus the plausibility check can be restored. The new explored approach allows the steering to work normally even in safe modes. However, the algorithms for protection have to take effect immediately if, for example, an expected index signal does not occur.
Computational Linguistics Techniques for the Study of Ancient Languages
Authors: Revesz Peter Z.
Published: October 2018

This paper presents a grammatical comparison of the Minoan language with the proto-Ugric and proto-Hungarian languages. Recent research showed that these languages are closely related, but this paper presents a novel grammatical comparison. The grammatical comparison shows the Minoan language to have an agglutinative type of grammar, with a CVCV type root word structure. The Minoan language also features assimilation between the word roots and the suffixes and a possessive phrase structure that is similar to that in Hungarian.
Epileptic Seizure Prediction over EEG Data using Hybrid CNN-SVM Model with Edge Computing Services
Authors: Agarwal Punjal , Wang Hwang-Cheng , Srinivasan Kathiravan
Published: October 2018

Epilepsy is one of the most common neurological disorders, which is characterized by unpredictable brain seizure. About 30% of the patients are not even aware that they have epilepsy and many have to undergo surgeries to relieve the pain. Therefore, developing a robust brain-computer interface for seizure prediction can help epileptic patients significantly. In this paper, we propose a hybrid CNN-SVM model for better epileptic seizure prediction. A convolutional neural network (CNN) consists of a multilayer structure, which can be adapted and modified according to the requirement of different applications. A support vector machine is a discriminative classifier which can be described by a separating optimal hyperplane used for categorizing new samples. The combination of CNN and SVM is found to provide an effective way for epileptic prediction. Furthermore, the resulting model is made autonomous using edge computing services and is shown to be a viable seizure prediction method. The results can be beneficial in real-life support of epilepsy patients.
Vibration Analysis of Simply Supported Rectangular Tank Partially Filled with Water
Authors: Kotrasová Kamila
Published: October 2018

Ground-supported tanks are used as fluid storage. One of the phenomena associated with the seismic response of liquid-filled tanks is the fluid motion occurring that causes “sloshing” at the top of free surface. This paper presents the theoretical of fluid response of rectangular tank due to horizontal acceleration of tank bottom, the impulsive and convective (sloshing) pressure and the fluid natural frequencies. The vibration analysis of fluid filled rectangular container was monitored and was evaluated in experiment for purpose to evaluation of the first frequency mode and vibration response of fluid were analysed by using FEM.
Method for determining the reliability parameters of software for complex decision support systems
Authors: Worwa Kazimierz , Nowicki Tadeusz , Waszkowski Robert , Kiedrowicz Maciej
Published: October 2018

The testing stage, creating great opportunities to verify and shape software reliability, significantly increases the cost of its production. The effectiveness of the work related to testing, expressed by the interdependence of the level of program product reliability and the cost of testing it, strongly depends on the adopted testing strategy, specifying the organization and scope of the work performed. In this situation, therefore, there is a need to define the conditions for a compromise in terms of reliability and cost requirements set for the software. The practical finding of this compromise can be greatly facilitated if there are possibilities to formally assess the level of software quality and the cost of testing it using appropriate indicators. The paper attempts to describe a method of determining a program testing strategy as a result of solving a two-criteria optimization problem, with the program reliability coefficient and the cost of testing as component criteria. The paper consists of description of the program testing process and mathematical model of this process, formulation of the problem of two-criteria optimization of the program testing strategy, remarks on method of solving the problem that has been formulated. proposed. To illustrate the method of finding an optimal testing strategy that has been proposed a numerical example is considered.
Preliminary investigation of centrifugal pump for fire engine
Authors: Dvořák Václav , Müller Miloš
Published: October 2018

This preliminary work deals with analytical, numerical and experimental investigation of centrifugal pump for fire engine. The pump was investigated experimentally and power curves as dependence of head on flow rate were carried out. Numerical research focused on finding of setup of numerical solver. All curves were compared, analysed and problematic places were identified. It was found that for very low backpressure, i.e. head coefficient, cavitation occurs around the propeller wheel and reduces maximum flow coefficient significantly. After modifying the wheel by sharpening leading edges of blades, or when rotation speed was increased, cavitation got even worse. Another issue is related with stator blades. It seems that stator blades work perfectly only in short range of regimes. Stator blades represent another resistance for low back pressure, while for higher back pressure, stator blades fail to decelerate the flow and increase static pressure. Several modification were suggested to increase performance of the fire engine.
Concept and assumptions about the temporal graph database
Authors: Koszela Jarosław , Szczepańczyk-Wysocka Paulina
Published: October 2018

The article outlines existing solutions in the area of graphs and temporal databases. It provides explanation for why the temporal graph database was created. Furthermore, the article also describes the concept and assumptions about the temporal graph database, including a proposal of two methods for representing temporal data in graph databases. Full write method assumes creating a new database object for each state of being. While incremental method writes only such features and relationships that were subject to change. Regardless of the data write method used, the data may be returned in a historically unordered or ordered manner. The article outlines assumptions for both methods of representing data.
Simulator for analysis cyber threats to RFID based system
Authors: Pierzchała Dariusz , Najgebauer Andrzej
Published: October 2018

The paper addresses the issues of attacks in cyberspace from the local perspective of computer network and IoT devices of RFID based office system. The rapid development in IT technology has constantly brought out revolutionary changes in the area of office services. The very promising technology for automatic identification is RFID that has changed the manual scenario of office tasks to computerized automated services. However, RFID based systems are vulnerable to various cyberattacks, from simple passive eavesdropping to well-known denial of service (DoS). One of the methods for the analysis of threats is computer modelling and simulation. M&S gives the possibility of quantitative and qualitative analysis as well as forecasting. As a part of the work, the original Java-based discrete simulation package has been developed. The simulation model and relevant software was implemented to simulate DoS attack on a protected server in restricted access administrative office. In contrast to most of existing simulation tools in the field of cyberspace, the simulation package has been designed to model and simulate heterogeneous devices which behaviours might be modified by programming Groovy/Python scripts.