bluuebunny/crossref_metadata_2025 huggingface dataset:
Biosurfactant Production by Rhizospheric Bacteria Isolated from Biochar Amended Soil Using Different Extraction Solvents
Authors: Adebajo Seun O. , Akintokun Aderonke K. , Ojo Abidemi E. , Egbagbe Dami M. , Akintokun Pius O. , Adebajo Lawrence O.
Published: November 2019

Microbial-derived surface-active compounds (biosurfactants) have attracted attention due to their low toxicity, cost-effectiveness, biodegradable nature and environment compatibility. Due to paucity of knowledge in the production of biosurfactant by microorganisms from other sources such as biochar-amended soil, the present study investigates the potential of rhizospheric bacteria isolated from biochar amended soil of okra plant in the production of biosurfactants using different recovery techniques. Rhizospheric bacteria were screened for biosurfactant production using Haemolytic, Oil spreading, Drop collapse, Methylene blue method, Bacterial adhesion to hydrocarbon and Emulsification activity. The biosurfactant was extracted using different extraction solvents (acid precipitation, ethyl acetate, acetone, dichloromethane and chloroform/methanol). Degradation of hydrocarbon (diesel) was determined spectrophotometrically. A total of twenty-three rhizospheric bacteria were isolated from the soil of Abelmoschus esculentus (okra plant). Nine isolates were positive for haemolysis with values between 1.1±0.2 mm by Enterobacter cloaca and 23.0±0.6 mm by Alcaligenes faecalis. Two isolates were positive for the drop collapse test. Only one isolate was positive for the methylene blue method. In the oil spreading test, ten isolates were positive and five isolates had the ability to adhere to hydrocarbons. Six isolates exhibited emulsification potential after 24 h, with the highest and lowest (65.9%) and (40.7%) recorded by Alcaligenes faecalis and Citrobacter sp, respectively. The biosurfactant produced by Alcaligenes faecalis using different recovery solvents showed that chloroform and methanol are the best extraction solvents and Alcaligenes faecalis was also able to degrade diesel oil over a period of 10 d. Conclusively, Alcaligenes faecalis recovered from soil amended sawdust biochar of okra plant is both a potent biosurfactant producer and an agent for remediating hydrocarbon-contaminated soil environments.
CREDIT BEHAVIOR OF HOUSEHOLDS: STRUCTURAL AND ANALYTICAL ASPECTS
Authors: KIZYMA Tetiana
Published: November 2019

Introduction. Under modern conditions, Ukrainian households are increasingly trying to follow Western models of financial behavior, in which, due to stable laws and monetary-financial system, citizens demonstrate active credit behavior. At the same time, it should be noted that during the recent years the number of users of bank loans in Ukraine, who have overdue debts, has increased rapidly, that cause concern among domestic scientists and practitioners.

Purposeof the research is to analyses the modern trends in households’ credit behavior in Ukraine and development of proposals for its rationalization under the current circumstances.

Results. Under modern conditions, each household forms its own model of credit behavior, taking into account certain factors, established traditions and beliefs regarding the appropriateness of borrowing funds. However, an important feature of credit dependence of our nationals is still lack of critical analysis of their own financial capabilities due to their inability to resist the natural desire of a person to “live now” and “live well”.
The study showed that over the past ten years, from 8% to 16% of the adult population of
Ukraine took credits in the banks. Moreover, the Western region is the leader in bank borrowings (with the exception of credit cards), while Kyiv, the North and the East show a higher level
of credit card loans. Kyiv and the East are also characterized by higher demand for pawnshops. The Centre is the only region with relatively more frequent use of services of other financial institutions. Also, the practice of providing (obtaining) of so-called non-institutional credits is common among Ukrainian households, when citizens are not only borrowers but also creditors (that is, situations when relatives, friends, acquaintances are borrowing money).

Conclusions. Under the context of current financial crisis in Ukraine, the role of the state, local governments, institutions and individuals in rationalizing households’ lending behavior is significantly increasing. Therefore, in our opinion, preventive measures in this sphere should be carried out at the following levels: state, local, banking and financial-credit system, and personally-individual. At the same time, it should be emphasized that these measures will be implemented only if the state provides clear legal regulation of the credit process and establishes trust relations with the population, which will help to minimize the moral and material losses of households and institutional subjects of credit activity.
COMMUNICATIVE PARADIGM IN THE RESEARCH OF JOINT STOCK COMPANIES FINANCIAL SECURITY
Authors: STASHCHUK Olena
Published: November 2019

Introduction. The development of the information society requires the application of the bases of the communicative approach in the process of researching the financial security of joint stock companies. This is due to the high level of sensitivity of corporate structures to the quality, completeness and timeliness of financial information and, as a consequence, can lead to a decrease in the efficiency of financial and economic activity of joint stock companies and the level of their financial security.

The purposeof the article is to outline the place of the communicative paradigm in the scientific knowledge of the financial security of joint stock companies, to identify its main characteristics. On this basis, there is a need for structuring financial communications of the financial security system of joint stock companies.

Results. The results of the study allowed to establish such basic essential characteristics of the communicative paradigm in the study of financial security of joint stock companies, such as multisubjectivity, multilevelness, intersubjectivity, equality of control subjects, flexibility and dynamism of the structure of the subject of management. It is established that in the structure of financial communications of the financial security system of joint stock companies are allocated intangible, basic and derivative. The author's approach to understanding the methodology of scientific knowledge of financial security of joint stock companies as an interconnection of financial resources of corporate structures and the formation of relevant financial information with the aim of regulating the interests and intentions of all stakeholders is proposed.

Conclusions. Construction of the methodology of scientific knowledge of financial safety of joint stock companies on the basis of the above mentioned methodological approaches can contribute to the formation of a real assessment of the latest trends in the formation of financial security of joint stock companies, the identification of weaknesses and the risks of their mplementation in the context of existing macroeconomic and microeconomic threats, as well as substantiation of effective directions for increasing financial security. We believe that the application of such scientific approaches to the study of financial security of joint stock companies will also enhance the quality of the use of mathematical tools in financial science, a more detailed study of the basic models of the functioning of the finances of joint stock companies, the accumulation of empirical data.
THE RATING OF THE DEVELOPMENT OF NON-STATE PENSION FUNDS IN UKRAINE
Authors: SHYMKO Yaroslav
Published: November 2019

Introduction. Rating of private pension funds (PPFs) is an instrument that provides a comprehensive understanding of the results of the activity of funds. Ratings are an important component in business information that contributes to maintaining trust in PPF activities. That's why research into fund rating issues is an actual area of research.

The purpose. The purpose of the article is to deepen the scientific and methodical approach to rating PPFs by using the radar method to calculate the integral development index of the PPF and on this basis the allocation of funds-leaders, funds that follow the leaders and funds-outsiders.

Results. The interpretation of the rating results becomes objective and accurate in choosing the system of indicators that were used as the basis for the calculation of the rating, the qualitative information base, and the use of sound methodology for calculating the integrative indicator. This approach, in general, allows you to rank the PPF according to the levels of development. Scientific interest is characterized by one of the methods of benchmarking used in economic research – this is a radar method. The advantages of the radar method for rating the development of PPFs are determined. We propose to calculate the integral indicator of NPF development on the basis of quantitative indicators of development, such as net asset value, number of participants, pension contributions, pension payments, income from investing PPF assets,calculated by the expanded result since the beginning of PPF functioning. The results of the analysis of NPF development indicators in Ukraine make it possible to distinguish two main strategies for the development of funds: firstly, a strategy focused on attracting as many participants as possible; and secondly, a strategy focused on obtaining higher investment income.

Conclusions. In the article, the methodical approach to the rating of PPFs in the application of the radar calculation method of the integral development index of PPFs is improved. A comparison of the radars of some domestic PPFs with reference radar for the development of funds allowed the distribution of functioning PPFs into three groups: founding foundations, follow-up funds and outsiders funds. The main strategies for the development of PPFs following the leaders were determined. The results of the PPF rating indicated that most of the funds in Ukraine have low development indicators. It actualizes the task of activating the development of domestic PPFs, in particular, in the areas of differentiation of pension products to increase the interest of citizens in participating in funds, and the development of new financial instruments to improve the results of investment activities of the PPF.
Machine Ability Characteristics of PWEDM Process
Authors:   Research scholar, Department of Mechanical Engineering, St Peter’s Institute of higher education and Research, Avadi, Chennai, Vasudevarao  , P Periyasamy. ,   Department of Mechanical Engineering, St Peter’s Institute of higher education and Research, Avadi, Chennai, Rao* P.V.Narisma ,   Research scholar, Department of Mechanical Engineering, St Peter’s Institute of higher education and Research, Avadi, Chennai, Ramanan  ,   Sr Engineer, Synce Engineering service, Chennai, Sharavanan  ,   Department of Mechanical Engineering, VISTAS, Pallavaram, Chenai
Published: November 2019

The traditional machining consists of a specific contact between the tool and work piece. As a result of this contact the tool may wear out after a few operations. In addition to that, the MRR (Material Removal Rate), Surface Finish, etc. is also lowered. As a result of these drawbacks, traditional or conventional machining processes cannot be used to machine ceramic based alloys and thus we opt for unconventional machining process. The Electrical Discharge Machine contains of two spaces one is Electrode and other is Work piece. In this concept the among the tool wear rate is moderate and the surface roughness is to be poor. The tool cost is so high. Hence continuously tool modification is not possible. So in the work main objective of the problem is reduced the tool wear rate and increase the MRR. (Material removal rate). So in the case we are consider in the surface roughness. The surface roughness is to be high is the taken in industrial application. So we have focus with surface roughness. These are the considering with in our problems. In our aim is reducing the toll wear and improve the Material Remove rate. In order to addition of graphite in Electrolyte. When added the electrolyte in Graphite the Toll wear rate decrease and increase a material Removal Rate. Finally we have disc the DOE process
Performance Analysis of various Neural Network functions for Parkinson’s disease Classification using EEG and EMG
Authors:   Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India., Paul* Sudip , Saikia Angana ,   Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India., Hussain Masaraf ,   Department of Neurology, North Eastern Indira Gandhi Regional Institute of Health and Medical Science, Shillong, India, Barua Amit Ranjan ,   Department of Neurology, GNRC Hospitals, Guwahati, India
Published: November 2019

Artificial neural network (ANN) is a significant tool for classification of various types of disease using either Biosignals/images or may be any kind of physical parameters. Establishment of appropriate combination of learning, transfer function and training function is a very tedious task. Here, we compared the performance of different training parameters in feed forward neural network for differentiating of Parkinson’s disease using human brain (Electroencephalogram) and muscle signals (Electromyogram) features as the input vector. 3 different types of training algorithm with six training functions is used. They are Gradient Descent algorithms (traingd, traingdm), Conjugate Gradient algorithms (trainscg, traincgp) and Quasi-Newton algorithms (trainbfg, trainlm). Proposed work compared the mentioned algorithm in terms of mean square error, classification rate (%),R-value and the elapsed time. Study showed that trainlm (Levenberg-Marquardt) best fits for larger data set. It showed the highest accuracy rate of 100% with 0 mismatch classification with a best validation mean square error of 0.0040254 in 3 epochs with a elapsed time of 1.12 seconds. The R-value found was 0.9998 which is in nearly equals to 1. Hence, Levenberg-Marquardt can be used as a training function for the classification of any brain disorder
Application of the Method of Data Mining to Solve the Problem of Establishing Causal Relationships
Authors:   Assistant Professor at MIREA-Russian University of technology in the Department, which produces bachelors in computer science and masters in Information systems and technology., Azhder* Tatyana
Published: November 2019

The article is devoted to solving the problem of identifying cause-and-effect relationships. A method of constructing a domain model based on data mining, known as formal conceptual analysis, is considered. It allows to solve problems of structuring of the available information. The purpose of data analysis technology is the production of new knowledge, identifying relationships (links) in the data. This method is used in the article to solve the problem of diagnostics of technical systems.
Hashtag Marketing and Indian brands – Sentiment Exploration
Authors:   School of Engineering and Technology, Al Dar University College, Dubai, UAE., Srivastava* Riktesh , Naem Meraj ,   School of Business Administration, Al Dar University College, Dubai, UAE.
Published: November 2019

Social Media continues to impact the marketing campaign in a big way, and Indian brands are not an exception. One of the influential yet understudied tools for social media is a hashtag, which in recent times created a valuable and spellbound marketing impression. Still, less research has been done on how hashtag creates such a magnificent consumer engagement. The paper aims to answer this unfolded query by evaluating the use of the hashtag by Indian brands through sentiment analysis. There are two ways Indian brands use the hashtag – Campaign hashtag and Brand hashtag. This research is based on brand hashtags and infers quite an interesting outcome. As an experiment, we executed the hashtags for top Indian brands to identify the overall sentiment polarity of the hashtag. The outcomes were divided into two parts, wherein, in the first part, we evaluated sentiments polarities (divided into positive and negative) and computed Conversation to Engagement (C/E) Ratio and Engagement to Reach (E/R) Ratio to identify the prominence of each hashtag. In the second part of the analysis, we analyzed the responses based on demographic analysis including gender, age, interests, and occupations, which gives a clear idea of hashtag exploration. Overall, we collected 5611 texts and 154472 tokens between 01/08/2019 and 30/09/2019 from the selected brands..
Mobility Aware Energy Efficient Cluster Based Secure Routing Protocol for Mobile Adhoc Networks
Authors:   Assistant Professor, Thiru Vi Ka Govt Arts College, Thiruvarur., Murugan* S. , Jeyakarthic M. ,   Assistant Director (Academic), Tamil Virtual Academy, Anna University Campus, Chennai
Published: November 2019

Mobile ad-hoc network (MANET) is an evolving technology which derives under the class of wireless networks. Due to the inherent characteristics of nodes in MANET, energy efficiency and security still remains a major design issue. This paper intends to develop a multi-objective optimization (MOO) model for effective load distribution and security in the network. The presented MOO technique operates on two main stages namely clustering and secure routing. In the first stage, fuzzy logic technique with multiple input parameters namely energy, distance, link duration, latency, and trust are used for effective cluster construction. In the next stage, Lion Whale optimization (LWO) algorithm is introduced for secure routing. Using the determined MOO variables, a fitness function is derived to select the optimal routes for secure routing in MANET. The effective performance of the presented FLWO model is tested using a set of validation parameters and the proposed model attains maximum performance over other methods in a considerable way.
Repeated Sprint Ability with Ball Performance among University Soccer Players: The Influence of Direction
Authors:   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Salleh* Omar Md , Malek Nor Fazila Abd ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Rahmat Azali ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Mohamad Nur Ikhwan ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Karim Zulakbal Abd ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Nadzalan Ali Md ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia.
Published: November 2019

The aim of this study was to determine and compare the effects of directions on the repeated sprint ability (RSA) with ball performance among university soccer players. Twenty soccer players representing a public university team compete in Malaysian Intervarsity tournament was recruited as study participants. Participants were assigned to two RSA tests with two different directions; i) Right-left-right (RLR) and ii) Left-right-left (LRL). Sprints time, fatigue index and strength of decrement score (Sdec) were compared between the two drills. Repeated measure analysis of variances (ANOVA) was conducted to determine the differences. Results showed no significant differences of were found for each sprints time and total time. However, FI and Sdec were found to be significantly lower during LRL. Future research is suggested to stress on the influences of ball controlling during the slides and turns at the markers on RSA performance.
Learning Rate Scheduling Policies
Authors:   Ph.D., in Computer Science and Engineering at Pondicherry Engineering College, Pondicherry, India, Lydia* A. Agnes , Francis F. Sagayaraj ,   Professor in Department of Computer Science and Engineering at Pondicherry Engineering College, Pondicherry, India.
Published: November 2019

With the availability of high processing capability hardwares at less expensive prices, it is possible to successfully train multi-layered neural networks. Since then, several training algorithms have been developed, from algorithms which are statically initialized to algorithms which adaptively change. It is observed that to improve the training process of neural networks, the hyper-parameters are to be fine tuned. Learning Rate, Decay rate, number of epochs, number of hidden layers and number of neurons in the network are some of the hyper-parameters in concern. Of these, the Learning rate plays a crucial role in enhancing the learning capability of the network. Learning rate is the value by which the weights are adjusted in a neural network with respect to the gradient descending towards the expected optimum value. This paper discusses four types of learning rate scheduling which helps to find the best learning rates in less number of epochs. Following these scheduling methods, facilitates to find better initial learning rate value and step-wise updation during the later phase of the training process. In addition the discussed learning rate schedules are demonstrated using COIL-100, Caltech-101 and CIFAR-10 datasets trained on ResNet. The performance is evaluated using the metrics, Precision, Recall and F1-Score. The results analysis show that, depending on the nature of the dataset, the performance of the Learning Rate Scheduling policy varies. Hence the choice of the scheduling policy to train a neural network is made, based on the data.
Corrosion rate of Al-Si Alloy Reinforced with B4C Nanoparticle prepared by Powder Metallurgy Method using RSM
Authors:   Mechanical, Bharath Institute of Higher Education and Research, Bharath University, India., Subaraj. M Abraham , Raj. J Bensam ,   Mechanical, Muthayammal Engineering College, Rasipuram, India., Prince. R Malkiya Rasalin ,   Mechanical, Karunya Institute of Technology and Sciences, Coimbatore, India., Devadhas.G *Glan ,   Applied Electronics and Instrumentation, Vimal Jyothi Engineering College, Kannur, India., Singh. S Christopher Ezhil ,   Mechanical, Vimal Jyothi Engineering College, Kannur, India.
Published: November 2019

The current work aims to optimize the Al-Si alloy reinforced with B4C nanoparticles prepared through powder metallurgy technique. The sample was prepared with different weight percentage 0, 4 and 8; the size of the sample was 20 mm x 20mm and sintered in a furnace upto 500oC with argon gas and their by furnace cooled to room temperature. The samples were brushed to remove the slag present in it, and polished by emery paper. Then the samples were weighed in an electric balancing apparatus to measure the initial weight of the sample before dipping it into acid solution. The weight loss was measured to calibrate the corrosion rate of the samples for 9 days. Response surface methodology was designed for three factors at three levels with a response as corrosion rate. The Analysis of Variance (ANOVA) was used to identify the most influencing factor on corrosion rate. The normal probability plot, residual plot, and desirability plot demonstrates the influence of corrosion rate of the composites.
A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks
Authors:   Research Scholar, JNTU Hyderabad, Shailaja* P. , Rao Prof. C.V. Guru ,   Director, SREC, Warangal, India,, Nagaraju Dr. A. ,   Assistant Professor, CURAJ, India,
Published: November 2019

Due to the infrastructure-less and no central administration architecture, Mobile Adhoc Networks (MANETs) gained significant interest in various wireless information transfer related applications. However, the selection of an optimal path to transmit the data is a more critical issue in MANETs because the nodes are resource-constrained and also have mobility. To provide an optimal solution to this constraint, various methods are proposed in earlier. Initially, some basic routing protocols are developed and further by modifying the base protocols so many strategies are developed. The proposed Research paper outlines a detailed survey about the earlier developed such strategies and also done a fined classification based on the methodology they followed. Broadly the comprehensive routing approaches are classified into two classes, namely single metric-based approaches and multiple metrics-based approaches. The further classification is done based on the routing protocol used at the base. Due to the widespread utilization of meta-heuristic algorithms, some authors used those techniques also in the discovery of an optimal path and some approaches are outlined in this paper. Moreover, at every phase, a fine and detailed comparison is shown through various constraints.
An Efficient Scheme on Adaptable Priority-Based Routing and Wavelength Assignment Algorithm for Enhanced Quality of Service
Authors:   Ph.D. Scholar, Department of Electrical Communication Engineering, Haryana, India., Gupta* Tarun , Garg Amit Kumar ,   Professor, Department of Electrical Communication Engineering, Haryana, India.
Published: November 2019

Current research interests have diverted towards the efficient priority-based routing and wavelength assignment strategy in order to enhance the quality of service in the distributed optical networks. The traditional RWA techniques such as Adaptive Routing (AR), Non priority based RWA schemes etc. are lacking of capability to reduce both the blocking probability and average end to end delay simultaneously during the transmission of networks. In this paper, an Adaptable Priority-based RWA (APRWA) schemes for optical network has been demonstrated and evaluated by utilizing the performance enhancing metric such as reduction in hop count while simultaneously handling distinguishable traffic volume. The simulation result shows considerable reduction both in the blocking probability (approx. 25%) as well as in average end to end delay near around (15 msec.) in comparison to conventional RWA techniques.
EAgeBioS: Enhanced Biometric System to handle the Effects of Template Aging
Authors:   Computer Science and Engineering, I.K.G. Punjab Technical University, Jalandhar, Punjab, India., Kumar* Sunil , Lamba Vijay Kumar ,   Electronics and Communication Engineering, Global College of Engineering and Technology, Ropar, Punjab, India., Jangra Surender ,   Computer Science and Applications, Guru Teg Bahadur College, Sangrur, Punjab, India.
Published: November 2019

Biometric Systems are well-known security systems that can be used anywhere for authentication, authorization or any kind of security verifications. In biometric systems, the samples are trained first and then it can be used for testing in long runs. Many recent researches have shown that a biometric system may fail or get compromised because of the aging of the biometric templates. The fact that temporal duration affects the performance of the biometric system has shattered the belief that iris does not change over lifetime. This is also possible in the case of iris. So, the main focus of this work is to analyze the effect of aging and also to propose a new system that can deal with template aging. We have proposed a new iris recognition system with an image enhancement mechanism and different feature extraction mechanisms. In this work, three different features are extracted, which are then fused to be used as one. The full system is trained on a dataset of 2500 samples for the year 2008 and testing is done in three different phases (i) No-Lapse, (ii) 1-Year Lapse and (iii) 2-Year Lapse. A portion of the ND-Iris-Template-Aging dataset [11] is used with a period of three years lapse. Results show that the performance of the hybrid classifier AHyBrK [17] is improved as compared to KNN and ANN and the effect of aging in terms of degraded performance is clear. The performance of this system is measured in terms of False Rejection Rate, Error Rate, and Accuracy. The overall performance of AHyBrK is 51.04% and 52.98% better than KNN and ANN respectively in terms of False Rejection Rate and Error Rate whereas the accuracy of this proposed system is also improved by 5.52% and 6.04% as compared to KNN and ANN respectively. This proposed system also achieved high accuracy for all the test phases.
Nutritional Value of Beef from Steers Grown On Natural Pastures of Arid Territories
Authors:   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production Volgograd State Technical University, Volgograd, Russia., Fyodorovich* Gorlov Ivan , Vasylievna Fedotova Gilyan ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production Volgograd State Technical University, Volgograd, Russia., Ivanovna Slozhenkina Marina ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production; Volgograd State Technical University, Volgograd, Russia., Yurevna Anisimova Elena ,   Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, Volgograd, Russia., Aleksandrovna Mosolova Darya ,   Plekhanov Russian University of Economics, Moscow, Russia.
Published: November 2019

Intensive development of beef cattle breeding is becoming a task of a national scale, which is reflected in all regulatory documents that determine the imperatives of the modern socio-economic development of our country. To solve this problem, of great necessity are scientifically based methods and mechanisms that will increase the intensity of meat production without reducing its biological value and nutritional qualities. This article substantiates the need to improve the forage base for the development of beef cattle breeding due to a more intensive grazing system on the arid territories in the South of Russia. The cattle feeding and keeping technology of that kind will contribute to the development of rural areas, employment and increase in the profitability of the beef production. Territory belongs to the zone of steppe and semi-desert landscapes and is noted for certain problems in terms of the grass and forage base. The conducted comparative analysis of meat obtained due to the technology of stable and grazing keeping of beef cattle bred on the arid territories has proved that pasturing cattle breeding enables the beef to exceed its analogues in biological value and in the composition of essential amino acids.
IoT Based Voice Controlled Multitasking System for Home
Authors:   Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India., Ram* G. Bhaskar Phani , Mounika C. ,   Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India.
Published: November 2019

Internet of Things is a rising innovation that makes our world more astute. In recent years, there has been immense development in the realm of insightful gadgets for home mechanization. Such contraptions are planned so as to facilitate communication among individuals and everyday home obligations. This paper exhibits a voice-controlled smart home with multi-functions using ESP32 as the wireless choice. Voice control (using human voice to control any load like light, fan, ac, geyser, motor etc.). The voice-commands are recognized by a dedicated hardware module and the recognized data is sent to database using ESP32. On the accepting unit, raspberry pi peruses the information from the database and deciphers the directions verbally expressed by the client and controls the family unit apparatuses.
Model of Bottom Hole Assembly with Rotary Steerable System
Authors:   Higher School of Transport, Peter the Great St. Petersburg Polytechnic University, St.Petersburg, Russia., Nikitin* Sergey , Ashcheulov Aleksandr ,   Higher School of Transport, Peter the Great St. Petersburg Polytechnic University, St.Petersburg, Russia., Lozhechko Viktor ,   Higher School of Transport, Peter the Great St. Petersburg Polytechnic University, St.Petersburg, Russia.
Published: November 2019

This article presents a static model of bottom hole assembly (BHA) with rotary steerable system (RSS). This model is aimed at estimation of control actions generated by RSS actuators upon drilling path definition. The model can be also applied for estimation of BHA strength properties.
Early Childhood Literacy Skills: The Effect of Socioeconomic Status, Home Literacy Environment, and Social Skills
Authors:   IAI Pangeran Diponegoro, Jawa Timur and Doctoral Candidate Early Childhood Education Department, Universitas Negeri Jakarta, Jakarta, Indonesia, Sholikah* Miftachus , Yufiarti  ,   Early Childhood Department, Universitas Negeri Jakarta, Jakarta, Indonesia., Yetti Elindra ,   Early Childhood Department, Universitas Negeri Jakarta, Jakarta, Indonesia.
Published: November 2019

Literacy is an important skill that must be developed by a child for the next level of education, so it must be expected that parents help their children to develop reading habits at an early age. A family has a responsibility to provide rich experiences inside and outside the home that are very important for the development of children's literacy. This study aims to investigate the socio-economic status, home literacy environment, and social skills in early childhood literacy skills. The method used in this study is survey. A number of 120 students from first grade elementary school were recruited as samples. Parents of these children filled out questionnaires in the column of education and income of parents. Home literacy environment consists of literacy fasilities and parents-children activities at home, while social skills are obtained by measuring the ability to improve cooperative relationships, social sensitivity, adaptability, and communication. On the other hand, children's literacy skills are directly assessed by using tests. The research data was collected through questionnaires designed in the form of Likert scale and rating scale. The data is analyzed by using path analysis. The results of the research reveal a significant correlation between the socioeconomic status, home literacy environment, and social skills in literacy. The effect of socioeconomic status, home literacy environment, and social skills give direct positive influence on early childhood literacy skills.
The Importance of Teacher Cooperation in the Process of School Guidance for High School Students
Authors:   Laboratory of Physical Chemistry of Materials LPCM, Ben M'Sik Faculty of Sciences, P. B. 7955. Bd. Driss El Harti Hassan II University of Casablanca. Morocco., Chiboub Nawal , Tridane Malika ,   Laboratory of Physical Chemistry of Materials LPCM, Ben M'Sik Faculty of Sciences, P. B. 7955. Bd. Driss El Harti Hassan II University of Casablanca. Morocco. Regional Center for Education and Training Casablanca Anfa, Bd BirAnzarane Casablanca. Morocco., abelaaouad Said ,   Laboratory of Physical Chemistry of Materials LPCM, Ben M'Sik Faculty of Sciences, P. B. 7955. Bd. Driss El Harti Hassan II University of Casablanca. Morocco.
Published: November 2019

The purpose of this article is to examine the importance of involvement teachers in the school orientation process and its effectiveness in the way high school students choose their educational path. Interviews and a survey were conducted with 74 teachers of different seniority selected from five public high schools in three regional directorates, in the 2018/2019 academic year, Casablanca-Settat region. This study shows from a deep analysis, that the coordination and cooperation with teachers and students in the process of school orientation were very low or null. In this study, scientific research and my experience have shown that the attainment of the desired objectives of high school students' educational guidance can only be achieved through coordination and cooperation between the various actors in the school guidance process. Teacher’s role is very essential since they are the closest to the student and the process of the student's educational orientation must be one of his main and fundamental tasks. It is concluded that public schools with the integration of teachers in the student's educational guidance have more success in the school path, as the participation of teachers in the guidance of their students, improves the process and increases its effectiveness. Our study has allowed us to detect very important results and information on the teacher’s role who must be an advisor in his school and must be a requirement of the process of academic guidance of high school students that we will present and discuss.
Secure User Authentication using Captcha as Passwords based on Graphical Methods
Authors:   Assistant Professor, Computer Science And Engineering Department, in SRM Institute of Science And Technology, Ramapuram, Chennai, Praba* Ms. M. S. Bennet , Krishna Arila Vamsi ,   Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, Prasad M. Hari ,   Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, Nithish M. Sai ,   Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai
Published: November 2019

An alternative to traditional text-based password is being proposed. This aims to enhance the safety and security of the current system by adding a layer of additional security, the proposed system uses FIDO (Fast Identity Online) which unlike password catalogue, stores personally recognizing information data locally on the handler's device to defend it. FIDO's personal identification and local storing of biometric is an intended way to ease user apprehensions about personal data. Image-captchas have lately developed into a very prevalent and extensively organized crossways throughout the online networks to guard from the offensive things. Still, the developing competence in the system field has steadily weakened the safety of Image-captcha and has exposed them to attacks. Built on our valuation, we roughly recognize the defects in these methods of prominent structures, laterally with the perfect performance and plan. Ideologies for more secure captchas are formed from our findings which lean-to light on the considerate of measure and impact, for captcha solving.
Anomaly Detection in Engineering Structures using WSN and Machine Learning
Authors:   Ph.D, Department of CSE, Sandip University, Nashik, Maharashtra, India., Pathak* Ms. Nileema S. , Patil Dr. Suryakant ,   Ph.D,Department of CSE, Sandip University, Nashik, Maharashtra, India., Patil Dr. Preeti ,   Ph.D, Department of CSE, Sandip University, Nashik, Maharashtra, India.
Published: November 2019

Wireless Sensor Networks are widely used for data acquisition in wide areas of applications like Health care, agriculture, surveillance etc. MEMs technology enables development of highly efficient, minute sensors. One of such applications of Wireless Sensor Networks (WSN) is monitoring the engineering structures, for damage detection and characterization. WSN technology is used for detecting the level of damage in huge bridge structures in metros and cities. Various technologies like wi-fi, zigbee, Bluetooth etc are used in the existing system for communication between nodes of the WSN. A novel method using RF technology for WSN is proposed that enables the coverage of a large area and higher data transfer speed. Novel methods of data analysis using machine learning also needs to be explored, to generate incites to the huge amount of data generated by sensors. Localization or finding the exact location of the problem area in the sensor network is a tedious task and can be handled well by using machine learning algorithms.
Development of The Technology of Obtaining A Non-Alcoholic Beverage for Preventing Iodine Deficiency Disorders with The Use of Nonconventional Plant Raw Materials
Authors:   Maykop State Technological University, Maykop, Russia., Lunina* Ludmila Victorovna , Tazova* Zareta Talbievna ,   Maykop State Technological University, Maykop, Russia., Siyukhov Hazret Ruslanovich ,   Maykop State Technological University, Maykop, Russia., Skhalyakhov Anzaur Adamovich ,   Maykop State Technological University, Maykop, Russia., Siyukhova Nafset Tevchezhovna ,   Maykop State Technological University, Maykop, Russia.
Published: November 2019

The article presents the results of the research on the development of the formulation and the technology for obtaining a non-alcoholic beverage for preventing iodine deficiency disorders based on an extract from the nontraditional plant raw materials of the North-Caucasian region. Using the experiment planning module of the STATISTICA suite, the optimal formulation of the phytocomposition mixture for enriching the developed beverage was obtained, which contained the herb of common thyme (lat. Thimus serpyllum L), the herb of purple coneflower (lat. Echinacea Angustifolia), leaves of black currant (lat. Ríbes nígrum); leaves of walnut (lat. Juglans regia L.), with the predictive total iodine content of 82.001 μg/100 g. Laboratory and modeling experiments were performed for obtaining an extract and developing the technology of making the beverage based on it. The developed non-alcoholic beverage has a distinctive taste and a distinct herbal aroma with light notes of dried fruit; it has a preventive effect for the iodine deficiency conditions, which has been confirmed experimentally – the content of functional ingredient (iodine) in it is 48.0 mg/100 cm3 (32 % of the recommended daily intake of iodine), which corresponds to the requirements of GOST R 56543-2015 applicable to functional drinks. In terms of quality and safety, the beverage meets the requirements of regulatory documents of the Russian Federation and the Eurasian Economic Union and may be included in the diets of various age groups as a taste beverage and a functional beverage for preventing iodine deficiency.
Multilevel Image Thresholding for Image Segmentation using Hybrid Algorithm
Authors:   Department of Electronics & Communication Engineering, Aditya Institute Of Technology And Management, Tekkali,Srikakaulam, India., Naidu* M.S.R. , Kumar Dr. P. Rajesh ,   Department of Electronics & Communication Engineering, A.U.College of engineering (A), Andhra university, Visakhaptnam.
Published: November 2019

Image thresholding is an extraction method of objects from a background scene, which is used most of the time to evaluate and interpret images because of their advanced simplicity, robustness, time reduced, and precision. The main objective is to distinguish the subject from the background of the image segmentation. As the ordinary image segmentation threshold approach is computerized costly while the necessity for optimization techniques are highly recommended for multi-tier image thresholds. Level object segmentation threshold by using Shannon entropy and Fuzzy entropy maximized with hGSA-PS. An entropy maximization of hGSA-PS dependent multilevel image thresholds is developed, where the results are best demonstrated in PSNR, misclassification, structural similarity index and segmented image quality compared to the Firefly algorithm, adaptive cuckoo search algorithm and the search algorithm gravitational.
Influence of Combined Expansive Agent and Supplementary Cementitious Materials Against Chloride Effects in Offshore Concrete
Authors:   Research professor, Department of Architectural Engineering, Dankook University, Suji-Gu, Yongin, Republic of Korea., Kim Hakyoung
Published: November 2019

The performance of hardened concrete may be degraded by the chemical action of chlorine ions (Cl-) or sulfate (SO42-) in sea water. Thus, supplementary cementitious materials (SCMs) are used in replacement of OPC for the purpose of improving the durability of concrete, but show weaknesses such as drying shrinkage. Judging that the sole use of SCMs has limitations in designing concrete durability to cope with the environment of salt damage, this study suggests the use of aluminum-based inorganic salts (AIS) in the form of chemical agents. This study aims to select material of the highest efficiency in enhancing the durability of offshore concrete, by performing the durability evaluation of typical four SCMs and four AISs that are intermixed as single materials. There has been almost no domestic or overseas research on Al-based organic salts intermixed in the form of chemical agents for the purpose of improving resistance to salt damage and offsetting drying shrinkage. It was confirmed that mortar intermixed with Al-based chemical admixtures showed great performance improvement in the rates of length change. The mixture proportion intermixed with sulfate ion (SO42-) as binding anion tended to show unfavorable reaction in terms of resistance to sulfate erosion and drying shrinkage. On the other hand, the mixture proportion set with nitrite ion (NO3-) as cation showed excellent performance improvement in all evaluation items, compared with non-intermixture. It is deemed that it will be necessary to highlight further and make use of the expansion properties and chloride binding performance of Al-based organic salts through the design of offshore concrete mixture proportions.
Agricultural Market Development: Trends and Prospects
Authors:   Michurinsk State Agrarian University, Michurinsk, Russia., Minakov* Ivan Alekseevich , Nikitin Alexander Valerievich ,   Michurinsk State Agrarian University, Michurinsk, Russia.
Published: November 2019

The present article considers the economic situation in the agri-food market: competition, supply that is formed by national production, import and export of products, producer and consumer prices, and government regulation of the market. In the structure of commodity resources, a considerable share of certain types of products (fruits, vegetables, and milk and dairy products) is imported, which improves the competition in the national market. The formation of commodity resources at the expense of the national production has been considered. The parameters for developing the agricultural sectors that provide import substitution in the agri-food market have been calculated. The areas of improving the production (concentration of commodity production in agricultural organizations and farms, transferring industries to the innovative development, modernizing the existing production facilities, building new modern facilities, improving state support) and efficiency of the commercial activity (market segmentation, positioning of goods, creation of marketing services in large agricultural organizations (agricultural holdings, agricultural firms) and processing enterprises, production and marketing, and supply structures (agricultural formations, unions (associations), consumer marketing (trade) cooperatives, consumer communities) have been grounded.
Innovative Factors of the Human Capital Development
Authors:   Kazan Innovative University Named after V.G. Timiryasov, Kazan, Russian Federation, Antonova* Irina , Evgrafova Olga ,   Kazan Federal University, Kazan, Russian Federation, Kuts Vasily ,   Altai state technical university, Barnaul, Russian Federation, Kartamysheva Natalia ,   Southwest State University, Kursk, Russia, Surkova Ekaterina ,   Moscow Aviation Institute (National Research University), Institute of Engineering Economics and Humanities, Moscow, Russia, Konovalova Elena ,   Naberezhnye Chelny State Pedagogical University, Naberezhnye Chelny, Russia
Published: November 2019

Purpose: Analysis and assessment of the quality of life of the urban and rural population in the Siberian Federal District. Design/Methods/Approach: The study uses the methods of analogy and comparison, as well as the monographic and statistical methods. Conclusions. The study clearly indicates a significant stratification in incomes between representatives of urban and rural areas. Practical consequences: The result of this study indicates that agriculture is experiencing serious problems; without taking further measures to improve the quality of life of the population, the industry will remain without professional personnel. Originality/value: The structure of incomes and expenditures of the population is analyzed, the most “favorable” and “unfavorable” regions for living are determined based on average incomes.