bluuebunny/crossref_metadata_2025 huggingface dataset:
‘9-TO-5, WENT TO COLLEGE, NOT 2-NITE HOMEY BLUES’
Authors: O'Donoghue Oddy Ellen
Published: February 2020

This article looks at the influence of jazz music-specifically bebop-in Jean-Michel Basquiat's use of the written word, arguing that the artist incorporates improvisation and dynamic rhythms to build a fragmentary stream of the everyday across his canvas. Looking towards Basquiat's graffiti, paintings and notebooks, this article will read Basquiat's works as jazz texts that rewrite the everyday, protest against social barriers, and reveal beauty in the mundane. This article will contextualize the musical and literary influences referenced across Basquiat's work, as well as the techniques he took from such influencers and used on the canvas. By positioning Basquiat within a literary canon, this article will also consider how the multi-formality of jazz enabled Basquiat to create works that were literary, musical, and painterly at once.
Russia and the Creation of Jazz in the British Everyday Imaginary
Authors: Lawson-Peebles Robert
Published: February 2020

This essay considers the role played by images of Russia and Russian culture in conjuring the earliest appearances of jazz in the everyday British imaginary.
Grappling with Grappelli
Authors: Sykes Tom , Poutiainen Ari
Published: February 2020

The violin has been played in jazz from the beginning of the music's history, and yet ithas, until relatively recently, been somewhat neglected as a significant jazz instrumentin terms of both performance and education. One style of jazz in which the violin is significantis so-called 'gypsy jazz', which originated with the formation of Le Quintette duHot-club de France in the early 1930s featuring gypsy guitarist Django Reinhardt andviolinist Stéphane Grappelli. The success of this group led to Grappelli being consideredcentral to jazz violin and gypsy jazz, and the gypsy jazz style-initially a French phenomenon-being equated with jazz violin as the everyday aesthetic of jazz violin.The number of successful French jazz violinists following Grappelli (including Jean-LucPonty and Didier Lockwood) has led to the idea of a 'French school' of jazz violin, and anumber of recently published jazz violin tutor books base their approach on the premisethat the Grappelli swing style is central to jazz violin, despite many contemporaryjazz violinists choosing to play in more modern styles. The authors critically considerthe existence of a 'French school' of jazz violin and whether teaching the Grappelli styleis an effective approach to jazz violin pedagogy.
Jazzing through the luminiferous ether
Authors: Ward Aleisha
Published: February 2020

In the 1920s radio broadcasting was a new and exciting medium. It contained a multitudeof possibilities in entertainment and education, and the wonder of new technologythat connected people around the world. This article investigates the experiencesof New Zealand jazz fans and musicians 'listening in' to overseas broadcasts in the1920s and 1930s. I consider situations of the jazz listening-in experience, which couldbe isolated or social depending on whether the fan had a headset or amplifier andspeakers setup. Listening-in could also be a pure listening experience or include dancingand socializing. Finally I will examine how this activity affected fans and musicians'experience and perception of jazz, and how that impacted jazz as it was produced inNew Zealand.
‘What to do over the week-end’
Authors: Bushard Anthony J.
Published: February 2020

In the 1930s, everyday Kansas Citians distracted themselves in numerous ways followingthe work week. But where did one turn to discover the best place to have a goodtime in the Midwest's vice capital? A major source was print media. Like most cities,several newspapers served 'Kaycee', notably the Kansas City Star and the Kansas CityJournal-Post. Relatedly, the Kansas City Call was an important social mechanism forAfrican Americans newly emigrated from the South. What one notices after examiningthese newspapers is: 1) nightclub advertisements bombard readers with vivid sensorydetails designed to promote a venue's opulence and 2) the portrayal of the entertainmentscene differs markedly depending on the source. Applying Ben Highmore's conceptof 'distraction' (Ordinary Lives, 2011), this article argues that 'distraction advertising'paradoxically unifies-through everyday dynamics like race, sexuality, class, and evenfood/drink-each newspaper's depiction of the 'Amusements' section while reinforcingtarget readership demographics.
‘Mississippi, My Home’
Authors: Pedro Josep , Gutiérrez-Martínez Begoña
Published: February 2020

This article focuses on the analysis of 'Mississippi, My Home', a blues composition byAfrican-American singer Lavelle White, which posits key issues about the meaningsof home, identity, and everyday aesthetics. Presented as a true story, the song dealswith the idea of returning home to Mississippi. It represents everyday life in a plantationthrough the bond between the narrator and her mother while picking cotton. Therefore,it introduces the listener to an aesthetic of everyday life that combined blues, work songs, and spirituals. Drawing on a personal interview with the artist, as well as on othersources, we will analyse the song as part of a broader interest in the musical discourseof blues. Exploring the song's text and context, the aim is to reach a complex understandingabout the ways in which biography and fiction intertwine with each other in thecreative act of songwriting and musical performance.
Extended play
Authors: Raine Sarah
Published: February 2020

This article tells a story. And this story does not recall heroic jazz greats or live jazz events-from which many jazz stories emerge-but it follows a history of listenings and the journey of a record through the lives that it touches. It does, however, include some music, although it might not be the music that you expect. Yet it is about jazz. And women, and the everyday. And how all these things intertwine and offer us a way to think differently, to listen to different voices, and to tell different stories.
Living with music
Authors: Gebhardt Nicholas
Published: February 2020

This article experiments ways of registering the ordinary experiences of place amongearly New Orleans musicians as they depart the city in search of new opportunitiesand return home, sometimes permanently, sometimes only briefly. The narrative movesbetween different times, places, and particular journeys, featuring a range of voices:some local, some not; some well-known, while others have been forgotten. The aim isto address issues of how we tell our histories of jazz and how we think about the placeof the music within people's everyday experiences.
Everyday jazz life
Authors: Cravinho Pedro , Homer Brian
Published: February 2020

This article examines fragments of a local jazz scene through photographs. It is theoutcome of a collaborative pilot research project entitled 'Everyday Jazz Life: A PhotographicProject on Contemporary Jazz Musicians' Lives in Birmingham' that took placeat Birmingham Centre for Media and Cultural Research, and brought together an academicand a photographer. As Ian Jeffrey suggests, photographs can be consideredas understandable fragments, which invite their viewers' minds to reflect about them.However, as fragments, photographs of contemporary Birmingham's jazz musicians aspeople, not just performers, in the context of their everyday lives can also be understoodas records of intention illuminating how musicians view themselves, the local jazz scene,and how they negotiate their lives while expanding their music. This visual approachopens up the possibility of new, or under-studied, topics for jazz studies research, forexample, those concerning musicians' off-stage complementary activities, social dynamicswithin their communities, and the living challenges and constraints.
The politics, aesthetics and dissonance of music in everyday life
Authors: Fagge Roger
Published: February 2020

This article will offer some thoughts on the relationship between the everyday and the role of music. It will look at how critics and artists have established the importance ofthe everyday, and how this has appeared in their work. It will then explore what music in the everyday reveals about the nature of modern society.
Understanding the Role of Context on Memory for Maximally Counterintuitive Concepts
Authors: Harmon-Vukić Mary , Upal M. Afzal
Published: February 2020

The current study examined how contextual information, defined as information represented at the level of the situation model, influenced memory for minimally and maximally counterintuitive stories. The first two experiments investigated whether the presence of explicit instructions to make sense of “strange information” in the stories influenced memory for maximally counterintuitive stories. Although no such effect was observed, post hoc analyses indicated that maximally counterintuitive stories that support a global inference that integrates the counterintuitive ideas are better recalled compared to stories that do not support such an inference. A third experiment was conducted to directly test the “global-inference” hypothesis. The results from the three experiments highlight the significant role of inferential processing in the integration of counterintuitive ideas, especially for maximally counterintuitive studies.
Sustainable Aviation Fuels
Authors: Bauen Ausilio , Bitossi Niccolò , German Lizzie , Harris Anisha , Leow Khangzhen
Published: February 2020

Aviation fuel demand is expected to continue to grow over the next decades and continue to rely heavily on kerosene fuel for use in jet engines. While efficiency and operational improvements are possible ways to reduce greenhouse gas (GHG) emissions, decarbonisation will need to heavily rely on low carbon kerosene drop-in alternatives. Currently, alternative fuels make up a very small share of fuel used in aviation, but their commercialisation is making good progress. Hydrogen offers a longer-term alternative fuel option but requires aircraft design and fuelling infrastructure changes. Electrification is emerging as an option for providing propulsion in aircraft, either in pure form in small aircraft or in hybrid mode in larger aircraft. This paper reviews the status, challenges and prospects of alternative fuels and electrification in aviation.
Exploring the Impact of Policy on Road Transport in 2050
Authors: Davies Huw
Published: February 2020

Within the 28 member states of the European Union (EU-28), 71.7% of transport emissions in 2017 were due to road transport and a policy commitment was made to reduce emissions from the transport sector as a whole by 60% by 2050 (against a 1990 baseline) (). Going forward, and supported by policy, a stratification of passenger car powertrain options is anticipated, with customers able to choose from a zero-tailpipe emission battery electric vehicle (BEV), fuel cell electric vehicle (FCEV) or a selection of hybridised vehicles ranging from a mild to a plug-in hybrid electric vehicle (PHEV). Further to this, technology improvements and connectivity between vehicle and energy generation and supply offer further opportunities to accelerate reduction in carbon emissions in the transport sector. The structure of this new transport paradigm is pathway dependent. Multiple conflicts exist, pulling the system in different directions and threatening its sustainability. This paper explores the link between policy and the impact this has upon the direction that road transport is taking, focusing on technology options and highlighting some of the dichotomies that exist between policy and the requirement for a sustainable road transport solution.
Analysis of Determinants of the Speed of Adjustment to Target Capital Structure of Companies in Developing Economies
Authors: Nivorozhkin Eugene , Kireu Eugeniu
Published: February 2020

The financial stability of a company, along with its operational effectiveness, depend on whether the company endeavours to optimise its capital structure, and the speed at which it can do so. The purpose of this article is to assess the relative impact of influential factors on the speed of adjustment to the optimal capital structure of companies in emerging markets. The relevant factors in question include corporate determinants, macroeconomic determinants, the specific financial characteristics of BRICS companies, and other pertinent external macroeconomic conditions.

To achieve this, we conducted a comparative study of various assessment methodologies and examined their findings. Within the scope of the overall study aims, we considered various models of assessing the speed of adjustment and identified those study methods most frequently used. We identified the determinants of optimal capital structure and the related speeds of adjustment, and suggested hypotheses based on assumed assessment results. We then proceeded to analyse the sustainability of those results and gauge the overall robustness of our approach.

The study results reveal that the speed of adjustment to target capital structure in developing economies is significantly higher than in advanced economies. The results indicate that these speeds vary in the range of 31–46% for book values of financial leverage and 60–79% for its market values. An empirical analysis of these results also showed that companies with a less-than-optimal debt level achieved the optimum level much quicker, and the speed of adjustment thereby depends heavily on the absolute value of the company money flow. Moreover, this is especially true in those companies with an excessive leverage value. Financial instability in the markets, meanwhile, had a positive effect upon the speed of adjustment for Chinese and Brazilian companies, while in the other BRICS countries the change of the speed of adjustment in the period of crisis finds no confirmation.
Corporate Bankruptcy Prediction Using the Principal Components Method
Authors: Grigoriev Alexander , Tarasov Konstantin
Published: February 2020

A huge number of articles and papers devoted to the study of bankruptcy prediction problems. Solving the problem of predictive ability many difficulties arise from the processing of data ending with the choice of models and algorithms. Efficiency is formed on the basis of three key aspects, such as tools, data quality and algorithms, formed based on the correct formulation of the problem. This research raises the problem of predicting the probability of bankruptcy using the method of neural network modeling. The paper proposes an effective prediction algorithm, in comparison with conventional parametric methods and is able to correctly classify on average more than 94% of observations in the sample of Russian small, medium and large businesses. Also during the research, the issue of data processing was touched upon. By the principal components method of neural networks, factors affecting the bankruptcy and key turning points that could lead to destabilization of the company’s normal operations were discovered. Increasing the accuracy of the forecast can be achieved by using more sophisticated algorithms, which are hybrid models.
Does Smart & Powerful CEO Contribute to the Performance of Technology Companies?
Authors: Karnoukhova Elena , Stepanova Anastasia
Published: February 2020

In recent decades, innovative companies became one of the major drivers of economy worldwide. According to surveys, nearly 70% of the world’s most innovative companies in 2019 are U.S. firms. However, academic studies mostly focused on the influence of the top management team and the board of director’s on the firm performance, on the relationship between innovations and CEO`s preferences. However, we suppose CEO can exert a significant influence on performance of innovative companies. We strive to show which CEO characteristics could lead to higher firm value. Does highly educated CEO contribute more to innovations in hi-tech sphere? Does CEO power matter? Are founders better CEOs than newcomers or professionals for technological companies with their longer horizons and higher risks? This research uses Generalized Least Square model on a sample of 12565 firm-year observations during 2004-2015 period. For this research we used data for three innovative industries: Pharmaceuticals, Biotechnology & Life Sciences, Software & Services and Technology Hardware & Equipment industries. We have hand-collected data from the CVs in CIQ database. Overall, the empirical results reveal that educational background, tenure, duality play crucial roles in explaining firm value. This study contributes to the existing literature in two aspects. First, our findings indicate that CEO characteristics play crucial roles in explaining technology firm value and performance. We demonstrated that founding CEO contributes to technology firm performance as well as the CEO with better education. Second, CEOs should be smart and powerful in order to sustain firm performance. We found that CEOs characteristics could mitigate the conflicts between different types of investors and their influence on firm performance. More specifically, CEOfounder was found to add greatly to the firm performance of Software and Pharmaceutical companies. Furthermore, the influence of CEO seems to mitigate the conflict of interest with independent active institutional investors in Hardware industry. We provided examples to prove the validity of our tests.
The Impact of Economic Policy Uncertainty on Capital Structure: Evidence from Russia
Authors: Granville Brigitte , Matousek Roman , Sokolov Egor
Published: February 2020

This paper is a study of the influence of economic policy uncertainty on the capital structure of companies operating in the Russian market. The sample size is particularly notable (over 16,000 companies and 230,000 observations are included) insofar as previous studies have invariably used smaller selections due to the complexities of data processing. Several hypotheses are proposed and treated which concern the interrelations between company debt policies and the status of individual, sectoral, or industry relevant commercial activity, where the constant threat of economic uncertainty due to political or other external machinations affects the market. This research paper examines the following capital structure determinants: profitability, asset structure, company size, tax shield, non-debt tax shield, growth opportunity, and risk. The following methods are applied to test a series of nine hypotheses proposed as the most salient indicators of the present state of academic consensus: the Pool model (Pool), the fixed effect model (FE), and the random effect model (RE). In this context, the influence of economic uncertainty on the status of different debt types in 16,882 Russian companies between 2000 and 2017 was studied using the economic policy uncertainty index calculated in 2012. The results serve to confirm many of the extant hypotheses in the academic literature in the area of capital structural evaluation. For example, it is immediately apparent that the influence of uncertainty is of less significance for large companies as regards all types of debt (joint, short-term and long-term), due to their greater stability and lower risks for creditors. Among other conclusions, it is confirmed that as long as serious government participation is characteristic of the Russian banking system, the efficacy of the debt financing system is not equal for all sectors, and those sectors which are of strategic importance for the state are particularly resilient in troubled economic periods. However, interestingly, in the case of a short-term debt leverage such influence does not materialise. From a theoretical point of view this paper will be useful for researchers studying the fluctuating market conditions of developing or transitional markets (the large sample size will make this study particularly attractive for further evaluation at all levels of academic analysis). An understanding of the multivariate interrelations described in this paper may also be useful to company managers and investors who will gain insight into the consequences of fluctuations in levels of economic uncertainty for different types of companies.
Methods of Calculation of Expected Credit Losses Under Requirements of IFRS 9
Authors: Vasilyeva Alfiya , Frolova Elvina
Published: February 2020

The most important area of work for financial market regulators including International Accounting Standards Board is to clarify the metrics of credit assessment. This problem became particularly relevant after the financial crisis of 2008, when the insolvency of approaches to the assessment of credit risks adopted under the then international financial reporting standard IFRS (IAS) 39 became apparent, since credit losses on financial instruments were taken into account by the “loss model”, and therefore, the asset was recognized as financially impaired due to the fact of credit quality deterioration and significant time lag. From 1 January 2018 of a new international financial reporting standard IFRS9 IFRS 9 is based on a different approach — the principle of “expected credit losses” (ECL). The transition to IFRS 9 is intended to strengthen the banking system by increasing reserves , the banking system’s stability can be increased also. The new business model radically changes the approach to the formation of reserves, including by taking into account the impact of macroeconomic indicators on their value. According to various estimates, the scale of increase in reserves ranges from 30% to 50%. The purpose of this article is to systematize the methodological principles and approaches that underlie the requirements of IFRS 9 (basic and simplified and POCI approaches), as well as a comparison of the main methods for assessing the probability of default and expected credit losses (Weibul distribution, migration matrix, generator matrix ) In the framework of this article, the authors formulated criteria for the transfer of assets between the stages of credit risk (stage), and also formulated the principles for calculating expected credit risks for each stage, taking into account macroeconomic factors. This article is of practical value, as it can be the basis for the development of methods for calculating the expected credit risks of corporate clients of commercial banks, and can also be used to improve credit risk management models.
Literature Review of Mergers and Acquisitions with the Aim to Obtain Technology and Knowledge
Authors: Ochirova Elena
Published: February 2020

Technological transformation of the economy is pushing companies to create or improve their technological capabilities. One of the ways to acquire technology and knowledge that allows companies to remain competitive is mergers and acquisitions (M&A). The efficiency and motives of M&A transactions with motivation of obtaining new technology and knowledge are the subject of a large number of studies. The contradictory results of studies of technological M&A transactions can be explained by the gaps of the empirical analysis or the weakness of the theoretical knowledge. The purpose of this study is to review the theoretical works on the effectiveness of M&A transactions in order to acquire technology and knowledge, and to identify the main results in this area. In particular, the motives of technological M&A deals were identified; the technological overlap of the parties of the M&A transactions and the relationship between the intensity of R&D expenses, innovative activity and company efficiency were described. In order to identify the relevant key determinants of the effectiveness of technological M&A transactions the motives of traditional M&A transactions were also examined. As a result of the analysis, it was revealed that the technological similarity between the acquiring and acquired companies have positive effect on the reaction of investors and on the effectiveness of the transaction, however, it negatively affects the overall effectiveness of the buyer company. The intensity of R&D expenses and innovative activity demonstrate inconsistent results on companies’ performance. Factors that have direct or indirect impact on the integration between companies - have contradictory results on both parties of a deal. Based on the existed literature the effectiveness of M&A transactions with the aim of acquiring technology and knowledge is associated with uncertainty for investors caused by the risks of such transactions in different sectors of the economy, the motives of managers and the characteristics of the parties of the transactions.
Desinging Analog Mixed Signal Circuits Using Graphene Nano Ribbon Field Effect Transistors
Authors: KARALAR Tufan Coşkun
Published: February 2020

Graphene is a 2D material formed by planar honeycomb placement of Carbon atoms. Besides its many superior physical properties it has superior electronic properties foremost of which is the high mobility it possesses. Due to this high mobility many Graphene based transistors have been designed. Graphene nano ribbons exhibit a band gap property, which is crucial for implementing transistors as switches. Moreover there exist models for these Graphene Nano Ribbon devices. In this work we designed and simulated analog mixed signal blocks using Graphene Nano Ribbon transistors. The particular blocks that we used included telescopic amplifiers and StrongARM latches. Next we compared these blocks’ performances against the same blocks implemented in 14nm high performance Silicon CMOS transistors. As a result we observed that the graphene transistors could attain comparable performances to circuits designed in 14nm CMOS. Specifically Graphene blocks can reach up to 80% of the bandwidth of Silicon devices. However Graphene devices have greater power consumption as a result of higher leakage current.
On Base Station Localization in Wireless Sensor Networks
Authors: KİZİLOZ Hakan Ezgi
Published: February 2020

Wireless sensor networks (WSN) has been a prominent topic for the past decade. WSN consist of multiple sensor nodes, which collect and convey data to the base station(s). Sensor nodes are expected to run on batteries, and it makes energy the scarce resource for sensor nodes. Energy expenditure of a sensor node mainly depends on data transmission, which is exponentially affected by transmission distance. Consequently, if sensor nodes forward their data to the base station directly, distant sensor nodes will exhaust quickly. On contrary, minimization of transmission distance for each sensor node, i.e., each node transmits its data to the closest sensor node on its path to the base station, depletes the energy of sensor nodes that are closer to the base station fast.  As a result, the flow balance in the network must be optimized. In this study, we investigate the effect of optimization of the base station location along with flow balance optimization. For this purpose, we compare five different localization methods on different topologies; three statically located linear programming approaches, a dynamically located nonlinear programming approach and a heuristic based hybrid approach. Experimental results indicate that lifetime improvement of up to 42% is possible in selected scenarios.
Model Predictive Control of an Indirect Matrix Converter with Active Damping Capability
Authors: GÖKDAĞ Mustafa , GÜLBUDAK Ozan
Published: February 2020

In
this paper, a model predictive control (MPC) scheme is proposed to control
indirect matrix converter (IMC), which is used for three phase-to-three phase
direct power conversion. IMC is composed of back-to-back connected conventional
current source rectifier (CSR) and voltage source inverter (VSI) without any
intermediate energy storage component between them. The aim in the control of
CSR side is generally to have unity power factor with relatively low total
harmonic distortion (THD) and the aim in the control of VSI side is to be able
to synthesize sinusoidal load currents with desired peak value and frequency.
Imposed source current MPC technique in abc frame is used for the rectifier
side and cost function evaluation process calculates three-phase supply current
errors respect to its reference. Supply currents for next sampling interval are
predicted using the discrete form of input filter model. The peak value of
sinusoidal supply current reference is generated from the error in load current
space vector using a PI compensator. This generated reference is synchronized
with supply voltage by the multiplication of Proportional-Integral (PI)
compensator output value and instantaneous three-phase supply voltage. An
active damping technique, which does not require to select an optimum value for
fictitious damping resistor, is also included in the proposed control scheme in
order to mitigate the resonance phenomenon of lightly damped input LC filter to
suppress the higher order harmonics in supply currents. Load currents with
desired peak and frequency are also obtained by imposing sinusoidal currents in
abc frame. The cost function for VSI stage evaluates output
load current error.
Load current predictions are obtained by using the discrete form of load model.
These two cost functions are combined into a single cost function without any
weighting factor since both
error terms are in the same nature. The switching state that minimizes this
pre-defined cost function among the 24-valid switching combinations of IMC is
selected and applied to converter. The proposed model predictive control with
active damping method shows good performance in terms of THD levels in supply
currents even at low current demands from supply side. The proposed model predictive control method
combined with active damping strategy guarantees unity power factor operation
and draws sinusoidal load currents at desired peak and frequency.
Automated Fake Access Point Attack Detection and Prevention System with IoT Devices
Authors: KILINÇER İlhan Fırat , ERTAM Fatih , ŞENGÜR Abdülkadir
Published: February 2020

Wireless access points (APs), which allow
many devices to be easily connected to the Internet, are widely used today
because they offer the easiest way to connect to the Internet. With the
development of the concept of Internet of Things (IoT), WiFi networks are
widely used in our homes, workplaces, social areas, campus areas. With the
increase of WiFi networks, attacks on these networks are constantly increasing.
In this study, an IoT-based approach to detect and prevent Fake Access point
attacks frequently seen in WiFi networks is proposed. A Single Board Computer
(SBC) and a wireless antenna in the "Soft AP" feature are used for
operation. Fake APs were detected by air scanning. In the first phase of the
study, fake Access point broadcasts have been created which can create security
weakness. In order to determine the fake Access points created in the second
stage, SBC and wifi module were used to scan air. In the final stage, the mac
address of the fake AP has been assigned to an unauthorized Virtual Local Area
Network (vLAN) on the network to prevent detected fake AP broadcasts. The
possible attack methods for the study were implemented and it was revealed that
the proposed approach prevented the attack successfully in all scenarios. The
study is seen as an effective, developed and economically useful IoT
application for network administrators to prevent the attack using fake Access
point.
A New Bat Optimization Algorithm to Solve EPD Problem Solving with Transmission Loss
Authors: RAHEBİ Cevat , AL-JUMAİLİ Mohammed
Published: February 2020

The economic power dispatch (EPD) is an integral
part of the power system, and the major roles and purpose of its use are for
achieving a reliable and efficient operation out of power system generation
networks, and this operation should be obtained by minimizing the generator
fuel cost. Getting optimal solutions to EPD problem requires efficient
optimization algorithms. Novel Bat Algorithm (NBA) is one of the most recent
methods and it has already proven its efficiency and reliability for solving
the EPD problem. This paper proposes Novel Bat Algorithm (NBA) in order to
solve the EPD problem based on the large scale power system. The NBA has proved
its efficiency and it gave a perfect performance for small-scale systems
compared with the original Bat algorithm (BA), because of considering the
Doppler Effect and assumed that bat can move between various habitats. The
study of the EPD for large-scale power systems is more important than study it
for small ones, because all power systems in countries are considered large
networks. This is why all modern studies focus on the study of EPD for large
systems. To test the performance of NBA during small and large scale power
system, we have applied it to many systems, including 3-thermal units,
6-thermal units, 31-Iraqi thermal units and IEEE 40-thermal units respectively,
with transmission losses and generator limits, and we have made a comparison of
the obtained results of NBA with other optimization methods. The Iraqi thermal
units have been utilized as a new data.
A Diagnosis of Stator Winding Fault Based on Empirical Mode Decomposition in PMSMs
Authors: DOĞAN Zafer , SELÇUK Rumeysa
Published: February 2020

Stator winding faults
may cause severe damages in Permanent Magnet Synchronous Motors (PMSM) if not
detected early on. The earliest fault detection in motors should be made during
transient states throughout the initial starting period. A new approach based
on Empirical Mode Decomposition (EMD) and
statistical analysis was presented for detecting stator winding fault by way of
transient state phase current of PMSM in this study. Models based on finite
elements method were developed for the PMSM representing the healthy and faulty
states in order to implement the suggested fault detection method. Afterwards,
transient state stator phase winding currents were measured for healthy and
faulty states under nominal load in accordance with motor models. These
non-linear current signals monitored were separated into its Intrinsic Mode
Functions (IMF) via the EMD method. Pearson Correlation Coefficient was used
for determining the IMF that most resembles the characteristics of the main
signal. Statistical parameter-based feature extractions were carried out for
the IMF signals determined for the healthy and faulty states. Fault and fault
level detection were carried out successfully by comparing the obtained feature
vectors. The acquired results have put forth that the suggested method can be
used securely for fault detection in electrical machines especially for early
fault detection.
Hexapod Robot Design and Performance Comparison of Fuzzy and PID Control Methods
Authors: GÖKREM Levent , CAN Mehmet Serhat , AYDIN Sefa
Published: February 2020

In this study, a six-leg spider robot
(hexapod) was designed and controlled for greenhouse, search and rescue
operations and military applications. Solidworks design program was used in the
design stage and Matlab Simulink program was used in the control stage of the
robot. In the study, a motion trajectory was determined by interpolation
technique for the robot and it was aimed to move on this trajectory.
Proportional-Integral-Differential (PID) controller and Fuzzy Logic Controller
(FLC) were used for the trajectory control of the robot. The robot walk
movements were applied in both control types with motion on flat ground, motion
on inclined ground, motion at different weights and different friction
coefficients. In the analysis studies, the total weight of the robot was taken
into consideration as 4kg. As a result of the analysis studies, it was observed
that this robot, which was designed and analyzed, followed a trajectory defined
by a mass of 4 kg with an error value of 1 mm on average. During the trajectory
tracking, it was found that the Fuzzy controller performs better than the PID
controller at the turning points of the reference trajectory curve of the
robot.
Medicinal and Aromatic Plants Identification Using Machine Learning Methods
Authors: KAYHAN Gökhan , ERGÜN Erhan
Published: February 2020

In this study,
different machine learning (ML) methods were used to classify medicinal and
aromatic plants (MAP) namely St. John’s wort (Hypericum perforatum L.), Melissa (Melissa officinalis L.), Echinacea (Echinacea purpurea L.), Thyme (Thymus
sp.) and Mint (Mentha angustifolia
L.)  based on leaf shape, gray and
fractal features. Naive Bayes Classifier (NBC), Classification and Regression
Tree (CART), K-Nearest Neighbor (KNN), and Probabilistic Neural Network (PNN)
classification were used as methods. The results indicated that plant species
were successfully recognized the average of correct classification rate. The
best classification rate on the NBC was taken: training data for classification
rate 98.39% and test data classification rate for 98.00% are obtained. ML could
be accurate tools for MAP classification tasks.
Theoretical and methodological principles of building a competitive enterprise strategy
Authors: Bozhydai І.
Published: February 2020

The article is devoted to theoretical and methodological principles of competitive enterprise strategy. The process of forming a competitive strategy requires a comprehensive approach, a sound analyt ical stage, and must comply with certain principles. The author summarized the basic principles of formation of competitive strategy, and in accordance with them, proposed a structural and logical scheme of using the tools of formation of competitive strategy of the enterprise. The basic methods such as matrix, benchmarking, PEST-, SWOT-SPECE- and cluster analyzes are selected as the methodological base. The result of which are indicators of analysis of the competitive environment, the internal environment of the enterprise, clustering criteria, the number of clusters, the corresponding quadrants of the matrix of strategies with promising development vectors, the list of measures and indicators for a certain enterprise aimed at stabilizing / improving its competitive position in the market or level competitiveness.
Modern Models of Business Social Responsibility: Classification and Comparative Analysis
Authors: Zhukovska A. , Velichko К.
Published: February 2020

Introduction. Today, the social responsibility is an integral part of the company’s image and increases its profitability. Different aspects of the business social responsibility were examined both b y the foreign nanddomestic scientists, but despite many kinds of the research on this issue, today in the modern scientific literature there are no comprehensive studies devoted to the generalization and systematization of a plurality of existing models of the business social responsibility..Objective: a critical analysis of the social responsibility model shaving emerged from the world practice, the development of a single generalized classification, a comparative analysis of the individual models of the business social responsibility, the study of the peculiarities of the functioning of the domestic model of social responsibility, the identification of its weak points and the development of the recommendations for their elimination, taking into account the global practice..Methods (methodology) of research. To achieve the above noted objective, the following general scientific and special methods are used: the induction and deduction, logical generalization, analysis and synthesis, comparison, grouping. Using the classification method, a generalized classification of business social responsibility models has been developed. Using the comparison method, the main feature so individual models of corporate social responsibility are compared; their common and distinctive features are highlighted..Findings. The models of the business social responsibility are analyzed. The generalized classification of the models of business social responsibility is developed. The comparative analysis of the individual models of business social responsibility are carried out, their common and distinctive features are highlighted.
The Future of Economic Modelling
Authors: Moscardini A.O. , Lawler K. , Vlasova T. , Merza E.
Published: February 2020

This is the third in a trilogy of papers concerning the reform of Economics. This paper tackles the subject of Economic modelling, If modelling is a representation of reality then the concept of “wha t is real” must be discussed. A description of the purpose of modelling and the processes involved in creating models then follows. The debate then switches to Economic modelling, its purpose and its effectiveness. Traditional Economic modelling is still a useful tool for understanding and teaching but Data Analytics and intelligent algorithms are better for economic predictions.
Improvement of infrastructure of accommodation objects of tourists in Ukraine
Authors: Rogoza M. , Stolyarchuk V.
Published: February 2020

The aim of the article is research of the infrastructure of tourists accommodation objects in Ukraine and identify the possibility of their Improvement. The lack of a clear interpretation of the basi c industry terminology fixed in the normative-legal documentation and determination of the belonging of accommodation objects to a certain classification group is revealed. This conditioned to the fact that the domestic regulatory framework provides for the possibility of awarding a category only one of their type – hotels. The revealed fact determines the narrow specialization of domestic accommodation objects (the provision of hotel services), reduces their inter-branch relationships and is one of the reasons for a steady increase in the number of hotels only with a decrease in the total number of objects of the industry. It is determined necessary to bring the regulatory and legal regulation of the provision of accommodation services, consolidating the application of clear unanimous terminology.
Modeling of income inequality in the European Union countries
Authors: Stavytskyy A. , Kozub M.
Published: February 2020

The article describes the current tendencies of the development of income differentiation processes in the countries of the European Union during the last 10 years. According to the analysis of the i mpact of income inequality on the economy of the countries, there is an inverse relationship between the growth of the gap between the income of different groups of people and the economic development. In order to confirm this conclusion and calculate the real index of income inequality, the dynamic stochastic general equilibrium (DSGE) model has been developed. The authors analysed three macroeconomics objects (household, firm, government), relationships between them and made their own model of eight equations. After that, the index of income inequality of all 27 current members of the European Union has been calculated for the last 10 years. The result shows in the general negative tendency. That is why it is important to choose the right strategic direction for the future development of the country. This DSGE model is a universal model and can be applied to other regions of the world after calibration of the parameters. The improvement of the model is about its expansion by adding other sources of income to get more accurate results. As a conclusion of the article, there was analysed the main directions of reforming the European economy in order to achieve sustainable development.
Neuromarketing Reseach: Ethics, Procedures and Perceptions of Parties Involved
Authors: Tichindelean (Beca) M.T.
Published: February 2020

Through the present article neuromarketing as a research method is discussed, starting from definitions, to instruments available, ending with an analysis of the ethical issue of the field. The novel ty of the study is that perceptions and experiences of neuromarketing practitioners are presented, therefore contributing to the knowledge creation regarding this type of marketing research.
Neuro-fuzzy modeling the rate of international migration in Ukraine
Authors: Chornous G. , Potapova V.
Published: February 2020

This article presents a new methodological approach for estimating the rate of international migration in Ukraine based on the experience of other territories and the application of neuro-fuzzy model ing. Firstly, using the results of previous studies, the factors affecting the decision of the person to migrate are determined. Following that, the most vital features found by regression- correlation analysis are used for grouping the countries into clusters in order to determine the list of states, which are similar to Ukraine with regards to migration climate. Based on the data of analogous countries, this study demonstrates the process of developing an adaptive neuro-fuzzy inference system (ANFIS) for modeling the migration rate in Ukraine and provides some recommendations for further research.
Problems оf Regulation оf Innovative Activities іn Enterprises
Authors: Shatilo O.
Published: February 2020

Innovation activities are an integral part of the national development strategy. Science and technology progress requires the effective implementation of innovations at the enterprises, which will en able them to meet the new requirements of the external and internal environment. However, there are many problems that hamper the development of enterprises. One of the main issues is the lack of implementation of innovation activities. In this work, the main factors that hinder the dynamic development of innovation activities at the enterprises are defined. The share of research and development (R&D) in the Ukrainian GDP, the internal spending on R&D, the R&D personnel in 2010–2017 are analyzed. The sources of funding and industrial property are identified. The criteria of enterprises that choose the innovative path of development are determined. These indicators characterize not only the problems of enterprises, but of the economy as a whole. To formulate the innovation plan, it is necessary to determine the innovations to be implemented by the enterprise, which is a complex task both in organizational, technical and financial terms. Constant changes in the market environment, new needs of consumers, the accelerating science and technology development in other countries are factors making modern enterprises engage in innovation activities.
A Polysaccharide Produced by Lactococcus lactis subsp. lactis YZ1 Isolated from Traditional Indonesian Fermented Milk, "Dadih"
Authors: Zakaria Yusdar
Published: February 2020

ABSTRACT.Lactococcus lactis subsp. Lactis YZI was isolated from M17 agar in which diluted Dadih was poured and incubated at 30 0C for 48 h. Taxonomix properties of the isolate were examined according to Bergey’s Manual of Systematic Bacteriologi and Manual for  Identification of Medical Bacteria. The isolation of polysaccharide from the precipitant was performed on an ion-exchange chromatography. The result showed that the polysaccharides produced by Lactococus lactis subsp. lactis YZI were neutral sugar (unadsorbrd fraction) and glycoconjugated (absorbed fraction). The neutral sugar had molecular weight of 10,000 and 20,000 with and α-glycoside linkage. The monosaccharide composition was mannose, glucose and galactose with a molar ratio of 1 :1,5 : 4,9.
Meningkatkan Efisiensi dan Efektifitas Kerja Inseminator di Wilayah SPAKU Sapi Potong Dengan Menggunakan Teknologi CIDR
Authors: Gunawan Gunawan , Anwar Saiful , Rizal Samsul , Riady Ginta
Published: February 2020

ABSTRACT. A study on how to improve the efficiency and the effectivity of the Inseminator’s work in beef cattle SPAKU area has been done. The study was designed as a field experimentation which used 40 prolonged anestrus postpartum cows. Sample cows were divided into two groups which consisted of control group (20 heads) and treatment group (20 heads). The treatmet group were treated with CIDR in order to allow oestrous synchronization at the end of the treatment. The result of the study showed that synchronization protocol allows the inseminator to work according to a preplanned schedule and to inseminate a number of oestrous cows in one working day. Statistical analisys indicated that all cows which were treated with CIDR became pregnant compared with those of control group. It can be said that oestrous synchronization with CIDR had higly significantly increased pregnancy percentage in treatment group (P0,01) compared with those of control group.