bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Possibilities to Limitate the WSN Network Emissivity at Assumed Probability of Correct Transmission
Authors: Zabłudowski Łukasz , Marciniak Beata , Bujnowski Sławomir , Lutowski Zbigniew , Maszewski Mirosław 
Published: May 2018

Abstract
The article presents the results of considerations regarding assuring the assumed probability of obtaining a correct transmission while limiting the emissivity of the WSN network. The first part presents the method of selecting the location of the acquisition node and analyzes the impact of the increase in transmission levels on the probability of obtaining a correct transmission. The second part presents and analyzes the method of reduction of the network’s emissivity at the assumed level of correct data transmission, and the end contains a summary and conclusions from the presented considerations.
Analysis of the Possibility of Emission Reduction for Complex WSN Networks by the Implementation of a Larger Number of Acquisition Nodes
Authors: Bujnowski Sławomir , Marciniak Beata , Ledziński Damian , Maszewski Mirosław , Lutowski Zbigniew 
Published: May 2018

Abstract
The article presents the results of simulations conducted on the network which has been implemented in one of the cities with dense urban development. The simulations were conducted to verify how the lowering of the emission (this affected the topology of the network) of the network will affect the network reliability and time of the data collection.
Study of Flow Behavior of Granular Material Inside Cylindrical Silo Using Ultrafast X-Ray Imaging Technique
Authors: Waktola Selam , Bieberle Andre , Barthel Frank , Bieberle Martina , Hampel Uwe , Grudzień Krzysztof , Babout Laurent 
Published: May 2018

AbstractThis paper presents an application of an ultrafast electron beam X-ray CT scanner for investigating the gravitational flow behavior of granulates through cylindrical silo model. The CT scanner allows obtaining crosssectional images of the granular material distribution with a spatial resolution of approximately 1 mm and a time resolution of 2 kHz. In order to conduct a deep analysis of the granular flow concentration changes, two image processing algorithm steps were applied. The first step deals with preprocessing and re-centering stacks of raw images. The second step divides the preprocessed image into several concentric rings and calculates the mean value to study radial concentration changes. Independent analysis of granular concentration in each ring provides useful knowledge to study the silo discharging during mass flow and funnel flow.
Experimental Study of Stochastic Processes, Determining their Characteristics and Conducting Real Experiments on the Operated Bridge
Authors: Sattarova Ulkar 
Published: May 2018

Abstract
The paper describes the process of actual experiment for practical confirmation of the effectiveness of new technologies. New software is proposed for investigating a real stochastic process. Technology and software are designed for fast calculation, analysis of adequate estimates of statistical characteristics, confirming the effectiveness of suggested technology, with high accuracy.
Application of the Fundamental Solution Method to Object Recognition in the Pictures
Authors: Klekiel Tomasz 
Published: May 2018

Abstract
Recognition of objects in pictures and movies requires the use of techniques, such as filtering, segmentation and classification. Image filtering is required to remove all artifacts that hinder the unequivocal identification and sharpen interesting objects. Segmentation refers to finding areas of images respected to individual objects. For the selected areas corresponding to objects in the selected picture, the classification of objects finally gives information about the type of object which orientation is made. This paper presents a method for the classification of objects from drawings as a bitmap using the method of fundamental solutions (MFS). The MFS was tested on the selected bitmap depicting simple geometric shapes. The correlations between errors occurring on the boundary for particular shapes are used for the selection of geometric shape figures. Due to this correlation, it is possible to recognize the shape of the image appearing on the drawing by an analysis consisting of the comparison of recognized points describing the shape of contour to a database containing solutions of boundary value problems for the selected shape. In one way, the comparison of the pattern can determine which shape from database it is most similar to in terms of contour. This article appear that this approach is very simple and clearly. In result, this method can be used to recognition of the objects in the systems of real-time processing.
Fuzzy Logic Based Adaptive Resonance Theory-1 Approach for Offline Signature Verification
Authors: Jain Charu , Singh Priti , Rana Ajay 
Published: May 2018

AbstractThis paper presents the use fuzzy logic with adaptive resonance theory-1 in signature verification. Fuzzy model is capable of stable learning of recognition categories in response to arbitrary sequences of binary input pattern. The work was carried out on two famous available signature corpuses i.e. MCYT (Online Spanish signatures database) and GPDS (Grupo de Procesado Digital de la se?al). Local binary patterns (LBP) and Gray Level Co-occurrence Matrices (GLCM) features were calculated for robust offline signature verification system. Training and verification was done using fuzzy adaptive resonance theory-1(FART-1). The system is trained and verified for different datasets to increase the accuracy of the classifier. The results thus obtained are robust than other existing techniques. The FAR and FRR for the system is 0.74% and 0.83% respectively.
Hazy Underwater Image Enhancement Based on Contrast and Color Improvement Using Fusion Technique
Authors: Singh Ritu , Biswas Mantosh 
Published: May 2018

Abstract
Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colors, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and color of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.
Sensing Mobile Device Orientation Through ECT Reconstructed Image Processing
Authors: Kucharski Przemysław , Romanowski Andrzej , Grudzień Krzysztof , Babout Laurent , Woźniak Paweł 
Published: May 2018

Abstract
We present TomoTable—a research prototype of a position sensing device hidden inside an ordinary table. While the Human-Computer Interaction (HCI) field has extensively explored possibilities for spatially-aware multi-device interactions, the sensing methods that would enable such systems are still complex and hard to deploy in the wild. TomoTable presents a possibility of easily deployable invisible positional sensing that uses electrical capacitance tomography (ECT). Electrodes are embedded inside the table structure and provide accurate imaging of what is placed on the table. The entire system is invisible to the user. Objects can be identified based on their electrical properties. Our work creates opportunities for in-the-wild studies using multi-device systems. In this paper, we share the technical concept of TomoTable, preliminary insights on its use and perspectives for future studies.
Pneumatic Flow Characterization Using ECT Tomography Images Analysis
Authors: Leszczyńska Agnieszka , Kowalska Aleksandra , Grudzień Krzysztof , Romanowski Andrzej , Sankowski Dominik 
Published: May 2018

Abstract
The control of dense phase pneumatic convening process is not a trivial task. The control of bulk solids flow phenomena requires detailed knowledge about the temporal and spatial changes of material concentration during flow. This paper describes application of electrical capacitance tomography for the characterization of the pneumatic conveying of solids. The level of concentration changes obtained with the aid of tomography imaging and calculated flow velocity allows monitoring flow behaviour during the granular material transport process. The cross-correlation technique applied for image processing as well as the calculated pixels-based flow velocity profile together with the proposed visualisation method of tomography images sequence provide information about flow conditions. The study of flow characterization, based on ECT data, was conducted for measurements gathered with different flow conditions, including flow blockage.
Identification and Assessment of Selected Handwritten Function Graphs Using Least Square Approximation Combined with General Hough Transform
Authors: Bieniecki Wojciech , Stoliński Sebastian 
Published: May 2018

Abstract
The paper provides a comparison of three variants of algorithms for automatic assessment of some examination tasks involving sketching a function graph based on image processing. Three types of functions have been considered: linear, quadratic, and trigonometric. The assumption adopted in the design of the algorithm is to map the way the examiner assesses the solutions and to achieve the evaluation quality close to the one obtained in manual evaluation. In particular, the algorithm should not reject a partly correct solution and also extract the correct solution from other lines, deletions and corrections made by a student. Essential subproblems to solve in our scheme concern image segmentation, object identification and automatic understanding. We consider several techniques based on Hough Transform, least square fitting and nearest neighbor based classification. The most reliable solution is an algorithm combining least square fitting and Hough Transform.
Management of IOT Devices in a Smart Home Through the Application of an Interactive Mirror
Authors: Majchrowicz Michał , Hufnagiel Mateusz 
Published: May 2018

Abstract
Internet of Things (IoT) devices are big part of concept, which is called by electronic producers and many others Smart Home. Authors of this paper have decided to take a look at it and as a result of this analysis propose and implement (in a form of working prototype) a system that could manage different kinds of devices.
The main objective of the project presented in this paper is a device that looks like a mirror and it is known to most people also is an interactive center, a place to obtain information of the devices that surround us and various parameters coming from sensors. Authors have prepared a prototype, that will be the central point of the apartment and will allow users to control all devices connected to this main system. Prototype allows to connect external sensors over GPIO (general purpose input/output) interface or Internet connection. There is also a possibility to add another communication interfaces such as 433MHz radio module, which is very cheap and works great in small areas or bluetooth module.
Application of the Layered Model Management System in an Interactive Map of the University Campus
Authors: Faustryjak Damian , Majchrowicz Michał , Jackowska-Strumiłło Lidia 
Published: May 2018

Abstract
The paper presents a web application for navigation through the university campus, which is based on Global Positioning System GPS and OpenStreetMap. The application has a multilayer structure and multi-labelling support. The proposed solution ensures better management of visual data and more efficient image processing comparing to the other known methods. With the new search system, users can place a lot of information on one layer without losing the legibility of displayed data. All the information that was displayed on the map was grouped and assigned to the appropriate categories.Therefore a map contains a lot of related information that needs to be linked to each other. The system has been divided into modules that ensure the integrity of the displayed things. Presenting so much information at the same time is managed by modules. Their main job is to provide results that is then segregated and grouped. The system presented in this paper was applied for Lodz University of Technology.
The Detection of Internal Fingerprint Image Using Optical Coherence Tomography
Authors: Sekulska-Nalewajko Joanna , Gocławski Jarosław , Sankowski Dominik 
Published: May 2018

Abstract
Recently, optical coherence tomography (OCT) has been tested as a contactless technique helpful for damaged or spoofed fingerprint recovery. Three dimensional OCT images cover the range from the skin surface to papillary region in upper dermis. The proposed method extracts from cross-sections of volumetric images (B-scans) high intensity ridges in both air-epidermis and dermis-epidermis interfaces. The extraction is based on the localisation of two OCT signal peaks corresponding to these edges. The borders are spline smoothed in two orthogonal planes of the image space. The result images are presented and compared with camera views.
Higher-order conditions for strict local Pareto minima for problems with partial order introduced by a polyhedral cone
Authors: Stasiak Aleksandra 
Published: May 2018

Abstract
Using the definitions of μ-th order lower and upper directional derivatives of vector-valued functions, introduced in Rahmo and Studniarski (J. Math. Anal. Appl. 393 (2012), 212–221), we provide some necessary and sufficient conditions for strict local Pareto minimizers of order μ for optimization problems where the partial order is introduced by a pointed polyhedral cone with non-empty interior.
Phenolic-rich extracts ofEurycoma longifoliaandCylicodiscus gabunensisinhibit enzymes responsible for the development of erectile dysfunction and are antioxidants
Authors: Oboh Ganiyu , Adebayo Adeniyi A. , Ademosun Ayokunle O. 
Published: May 2018

AbstractBackground:Herbs have been used from ages to manage male sexual dysfunction. Hence, this study sought to investigate the effects ofEurycoma longifolia(EL) andCylicodiscus gabunensis(CG) stem bark extracts on some enzymes implicated in erectile dysfunctionin vitro.Methods:The extracts were prepared, and their effects on phosphodiesterase-5 (PDE-5), arginase, and angiotensin-1-converting enzyme (ACE) as well as pro-oxidant-induced lipid peroxidation were assessed. Furthermore, phenolic contents were determined, and their components were characterized and quantified using high-performance liquid chromatography with diode array detector (HPLC-DAD).Results:The results revealed that the extracts inhibited PDE-5, arginase, and ACE in a concentration-dependent manner. However, IC50values revealed that CG had higher inhibitory potential on PDE-5 (IC50=204.4 μg/mL), arginase (IC50=39.01 μg/mL), and ACE (IC50=48.81 μg/mL) than EL. In addition, the extracts inhibited pro-oxidant-induced lipid peroxidation in penile tissue homogenate. HPLC-DAD analysis showed that CG is richer in phenolic compounds than EL, and this could be responsible for higher biological activities observed in CG than EL.Conclusions:Hence, the observed antioxidant property and inhibitory action of CG and EL on enzymes relevant to erectile dysfunctionin vitrocould be part of possible mechanisms underlying their involvement in traditional medicine for the management of male sexual dysfunction.
Non-equilibrium Thermodynamics of Fast Traveling Waves in a Catalytic Fixed Bed. Emergence of Near-equilibrium Spatiotemporal Dissipative Structure
Authors: Gerasev Alexander P. 
Published: May 2018

AbstractThis work presents the results of the mathematical modeling of the fast traveling wave propagation phenomenon in the fixed-bed catalytic reactors according to a simple (basic) mathematical model with a reversible reaction. Qualitative and quantitative research is used to study the behavior of separatrices’ trajectories of the system’s non-linear ordinary differential equations. Special attention has been paid to the non-equilibrium thermodynamic methods. The entropy balance equation is constructed and analyzed under the assumption of the simple mathematical model of physical and chemical processes. The influence of key physical and chemical parameters on the fast traveling wave properties is studied. The phenomenon of fast traveling wave propagation in the fixed-bed catalytic reactors provides a vivid example of a spatiotemporal dissipative structure in active heterogeneous medium. These dissipative structures are shown to exist near the thermodynamic equilibrium.
Faith and Pedagogy: Intersections of Asian American Teachers’ Identities and Practice
Authors: Chow Candace J. 
Published: May 2018

Abstract
This article explores the role that teachers’ religious identities play in the classroom, particularly as they relate to understandings of race and equity. Employing an intersectional framework, I use interview data to examine how two Asian American teachers, who emphasize how important their Christian identities are to their lives and to their classroom practice, enact identity and pedagogy. Findings suggest that Christian teachers see teaching as an act of Christian service, that both faith and racial identities play roles in shaping culturally relevant pedagogy, and that teachers’ faith identities are integral to how they view themselves as individuals and as teachers.
Small-large subgroups of the reals
Authors: Rosłanowski Andrzej , Shelah Saharon 
Published: May 2018

Abstract
We are interested in subgroups of the reals that are small in one and large in another sense. We prove that, in ZFC, there exists a non-meager Lebesgue null subgroup of ℝ, while it is consistent that there there is no non-null meager subgroup of ℝ.
Structural properties of algebras of S-probabilities
Authors: Dorninger Dietmar , Länger Helmut 
Published: May 2018

Abstract
Let S be a set of states of a physical system. The probabilities p(s) of the occurrence of an event when the system is in different states s ∈ S define a function from S to [0, 1] called a numerical event or, more precisely, an S-probability. A set of S-probabilities comprising the constant functions 0 and 1 which is structured by means of the addition and order of real functions in such a way that an orthomodular partially ordered set arises is called an algebra of S-probabilities, a structure significant as a quantum-logic with a full set of states. The main goal of this paper is to describe algebraic properties of algebras of S-probabilities through operations with real functions. In particular, we describe lattice characteristics and characterize Boolean features. Moreover, representations by sets are considered and pertinent examples provided.
On Fibonomial sums identities with special sign functions: analytically q-calculus approach
Authors: Kiliç Emrah , Akkus Ilker 
Published: May 2018

Abstract
Recently Marques and Trojovsky [On some new identities for the Fibonomial coefficients, Math. Slovaca 64 (2014), 809–818] presented interesting two sum identities including the Fibonomial coefficients and Fibonacci numbers. These sums are unusual as they include a rare sign function and their upper bounds are odd. In this paper, we give generalizations of these sums including the Gaussian q-binomial coefficients. We also derive analogue q-binomial sums whose upper bounds are even. Finally we give q-binomial sums formulæ whose weighted functions are different from the earlier ones. To prove the claimed results, we analytically use q-calculus.
On the proximity of multiplicative functions to the number of distinct prime factors function
Authors: Koninck Jean-Marie De , Doyon Nicolas , Laniel François 
Published: May 2018

Abstract
Given an additive function f and a multiplicative function g, let E(f, g;x) = #{n ≤ x: f(n) = g(n)}. We study the size of E(ω,g;x) and E(Ω,g;x), where ω(n) stands for the number of distinct prime factors of n and Ω(n) stands for the number of prime factors of n counting multiplicity. In particular, we show that E(ω,g;x) and E(Ω,g;x) are

O

x

log
log
⁡
x

$\begin{array}{}
\displaystyle
O\left(\frac{x}{\sqrt{\log\log x}}\right)
\end{array}$

for any integer valued multiplicative function g. This improves an earlier result of De Koninck, Doyon and Letendre.
Growth series of crossed and two-sided crossed products of cyclic groups
Authors: Karpuz Eylem Güzel , Çetinalp Esra Kirmizi 
Published: May 2018

Abstract
We recall that the two-sided crossed product of finite cyclic groups is actually a generalization of the crossed product construction of the same type of groups (cf. [10]). In this paper, by considering the crossed and two-sided crossed products obtained from both finite and infinite cyclic groups, we first present the complete rewriting systems and normal forms of elements over crossed products. (We should note that the complete rewriting systems and normal forms of elements over two-sided crossed products have been recently defined in [10]). In the crossed product case, we will consider their presentations that were given in [2]. As a next step, by using the normal forms of elements of these two products, we calculate the growth series of the crossed product of different combinations of finite and infinite cyclic groups as well as the growth series of two-sided crossed product of finite cyclic groups.
Uniqueness properties of meromorphic functions in the light of three shared sets
Authors: Banerjee Abhijit , Mallick Sanjay 
Published: May 2018

Abstract
We use the notion of weighted sharing of sets to improve a number of results in the uniqueness theory of meromorphic functions sharing three sets. We have also presented a new idea in the formation of one of the range sets in connection with the three shared set problems, which ultimately yields a better result than many existing result in some sense.
A new family of analytic functions defined by means of Rodrigues type formula
Authors: Aktaş Rabia , Altin Abdullah , Taşdelen Fatma 
Published: May 2018

Abstract
In this article, a class of analytic functions is investigated and their some properties are established. Several recurrence relations and various classes of bilinear and bilateral generating functions for these analytic functions are also derived. Examples of some members belonging to this family of analytic functions are given and differential equations satisfied by these functions are also obtained.
Perturbation analysis of a nonlinear equation arising in the Schaefer-Schwartz model of interest rates
Authors: Stehlíková Beáta 
Published: May 2018

AbstractWe deal with the interest rate model proposed by Schaefer and Schwartz, which models the long rate and the spread, defined as the difference between the short and the long rates. The approximate analytical formula for the bond prices suggested by the authors requires a computation of a certain constant, defined via a nonlinear equation and an integral of a solution to a system of ordinary differential equations. A quantity entering the nonlinear equation is expressed in a closed form, but it contains infinite sums and evaluations of special functions. In this paper we use perturbation methods to compute the constant of interest as an asymptotic serie with coefficients given in closed form and expressed using elementary functions. A quick computation of the bond prices, which our approach allows, is essential for example in calibration of the model by means of fitting the observed yields, where the theoretical bond prices need to be recalculated for every observed date and maturity, as well as every combination of parameters considered. The first step of our derivation is identification of a small parameter in the problem, since it is not immediately clear. We verify our choice by numerical experiments using the values of parameters from the literature.