bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of straw substrate variation in production of celluase enzyme by Serratia marcescens
Authors: Wijanarka  , Budi K L , Kusdiyantini E 
Published: June 2019

Abstract
Indonesia is a country with vast agricultural land, especially rice fields. Unfortunately, rice crops cause a problem of rice straw waste. The waste of rice straw consists of 38% cellulose, 24% hemicellulose and 8% lignin. The study aimed to assess the production of cellulose by Serratia marcescens in straw substrate medium. The research design was Completely Randomized Design. Variations of rice straw substrate were denoted by (S0; S1; S2; S3) within incubation period for 16 hours. Data analysis was analyzed using SPSS one-way
A
NOVA (α = 0.05). The result showed that variations of rice straw substrate concentrations correlated with the production of cellulose at 0.28 U/mL. The result of statistical analysis using DMRT Test showed a significant difference in every treatment (p≤0.056)
The use of Macroalga Sargassum sp. and Gracilaria verrucosa in improving Sandy and Clay Soil fertility
Authors: Izzati M , Haryanti S , Setiari N 
Published: June 2019

Abstract
Macroalgae, such as Sargassum and Gracilaria have a great potential to be used as soil conditioner. Addition of macroalgae powder into a certain type of soil could significantly change soil fertility. The presence of gelatinous material in Sargassum and Gracilaria are predicted to be able in changing the chemical characteristic of soil, including organic material content, pH and C/N ratio. This study was focused on the evaluation of soil fertility sandy and clay soil after addition of Sargassum and Gracilaria powder as a soil conditioner. The collected macroalga was dried and soaked in fresh water several time to lower its salinity to reach into a normal level. The dried powder of Sargassum and Gracilaria were added and mixed through into sandy and clay soil (in a composition of 25%:75%). Treated soil was measured for their physical, chemical and physiological properties changes. Each treatment was replicated three times. Data were analyzed using ANOVA single factor and t-test. Results indicated that the addition of soil conditioner from macroalga Sargassum and Gracilaria were significantly increasing organic material content. Addition of Sargassum powder increased organic material more than Gracilaria. C/N ratio in sandy and clay soil was reduced by the presence of this both soil conditioner. Therefore, there was a strong indication in increasing in supporting for more soil fertility. The presence of macroalga was proven also in reducing pH to a normal level. It is recommended to develop this material to improve soil fertility and plant growth.
Vegetation analysis the waterfalls Curug Sewu in village Curug Sewu subdistrict Patean Kendal regency
Authors: Sunarmi  , Hidayat J W , Muhammad F 
Published: June 2019

Abstract
Vegetation of plants is part of a biotic component that occupies a particular habitat. The structure and composition of vegetation in an area is influenced by other components of interconnected ecosystems, so that vegetation that grows naturally in a particular area is the result of interaction of various factors that influence. Plants around Curug Waterfall Area Sewu Village Curugsewu Patean Kendal District is one of the natural resources that support the development of ecotourism in the region.The potential of landscapes and the diversity of plants and the beauty of waterfalls is very potential for the development of nature-based tourism. The Key Values (INP) index of a kind is a value that describes the role of the existence of a species within the community.Based on the data obtained from the research results got the value of INP at station I in obtaining the important value index for the highest tree level on Acacia (Acacia denticulata) the value of its INP 124.5%. The highest value of INP poles on Randu (Caiba pentadra) with a value of 51.95%. The highest value of INP value is Salak (Salacca.Sp) with 81,79%, while at semi level on Grass Puzzle (Cyperus rotundus) with value of 76,35%. At station II obtained Indek Value important for the highest value of tree value in Mangir (Ganophyllum falcatum) which value 59,83%. For the highest pole level on Lamtoro (Nephila maculate) with value 57,19%.While the highest value of INP value in Aren (Arena pinnata) with INP 156,85%, then for highest spring INP level on Grass Teki (Cyperus rotundus) with value 54,29%. A high Important Index score on a plant as mentioned above illustrates that the plant has an important role in forming a plant vegetation and microclimate within the area around Curug Sewu Waterfall in Patean.
Genetic algorithm based sentence packaging in natural language text generation
Authors: Devyatkin Dmitry , Isakov Vadim , Shvets Alexander 
Published: June 2019

Abstract
Sentence packaging is an important task in natural language text generation which could be treated as a particular kind of a community detection problem. We propose an approach based on genetic algorithm and predictive machine learning models to advance it. The approach allows handling large ontological and semantic structures in a form of a graph to produce well-formed sentences. The results of experiments showed that the genetic algorithm optimizing the modularity measure gives comparable results to ones achieved by a traditional community detection algorithm and outperforms it on a collection of relatively short texts. The design of an approach allows for further introducing linguistic characteristics into a fitness function that gives it a high potential to increase the quality of detected packages while taking into account the specificity of the domain.
An approach for initializing the random adaptive grouping algorithm for solving large-scale global optimization problems
Authors: Vakhnin A , Sopov E 
Published: June 2019

Abstract
Many real-world optimization problems deal with high dimensionality and are known as large-scale global optimization (LSGO) problems. LSGO problems, which have many optima and are not separable, can be very challenging for many heuristic search algorithms. In this study, we have proposed a novel two-stage hybrid heuristic algorithm, which incorporates the coordinate descent algorithm with the golden-section search (CDGSS) and the random adaptive grouping for cooperative coevolution of the Self-adaptive Differential Evolution with Neighborhood Search (DECC-RAG) algorithm. At the first stage, the proposed algorithm roughly scans the search space for a better initial population for the DECC-RAG algorithm. At the second stage, the algorithm uses the DECC-RAG framework for solving the given LSGO problem. We have evaluated the proposed approach (DECC-RAG1.1) with 15 most difficult LSGO problems from the IEEE CEC’2013 benchmark set. The experimental results show that DECC-RAG1.1 outperforms the standard DECC-RAG and some the state-of-the-art LSGO algorithms.
Multi-criteria fuzzy model for system technical condition estimation at the life cycle stages
Authors: Korshunov G I , Smirnov V A , Milova V M 
Published: June 2019

Abstract
The article describes the tasks of in-depth estimation of the systems technical condition based on fuzzy ideas about the behavior of parameters within the tolerance limits. The proposed approach allows to more accurately control the influence of influencing factors at different stages of the life cycle of systems compared with the known methods. The approach is based on the application of six local criteria and a comprehensive criterion for assessing the level of system working capacity. The criteria are based on time series, linguistic variables, membership functions, and the proposed fuzzy classifier algorithm. Taking into account the peculiarities of the dynamics of changes in parameters in the tolerance field provides new opportunities for managing the life cycle processes of systems. The value of the evaluation of the level of working capacity is defined as the left most maximum of a fuzzy set for the corresponding output linguistic variable or the smallest of the modal values if the fuzzy set has several modal values. The quantitative estimation of working capacity is complemented by a qualitative estimation, expressed in the form of a linguistic description of the level of working capacity and degree of evaluation confidence in the result of recognition, understandable to the end user and convenient in making management decisions and developing recommendations at the stages of the life cycle.
Innovation development of agroindustrial enterprises: the use of a platform-based business model
Authors: Mitin A N , Sokolov K O , Garipov R I , Sokolova M I 
Published: June 2019

Abstract
We determined the possibilities of using multiple platforms not only to increase the number of users, and, thus, to produce a network effect and boost of sales, but also to develop the innovation activity of food and processing enterprises that adopted a platform-based business model. We studied the processes of value creation proper to the platform-based model of business organization. It was shown that network effects are a leading factor in the effective platform scaling that attracts users. We highlighted the advantages of a platform-based business model as compared to the traditional linear business model of enterprises in food and processing industry.
Nonparametric algorithm of electronic components test data pattern recognition
Authors: Koplyarova N V , Chzhan E A , Medvedev A V , Korneeva A A , Raskina A V , Kukartsev V V , Tynchenko V S 
Published: June 2019

Abstract
The paper discusses the quality diagnostics of electrical radio components based on the results of non-destructive testing. A proposed clustering algorithm does not require preliminary information on the number of classes and the training sample. The algorithm allows to automatically determine the number of classes. The division into classes is due to the different characteristics of the measured variables, which correspond to different product quality ranges.
Formation of models of industrial cooperation management of machine-building enterprises in the transition to a digital manufacturing
Authors: Belyakova Galina , Belyakov Gennady , Fokina Darya 
Published: June 2019

Abstract
This paper considers the necessity to form models for managing the industrial cooperation of engineering industry enterprises in the transition to a digital manufacturing. A new production processes model, the so-called digital manufacturing, offers enterprises a wide range of modified tools for stimulation of industrial cooperation relations. The research focused on formation management processes of industrial cooperation among machine builders, and the studding tasks and main stages of the management of industrial cooperation. New models should take into account not only the new opportunities of the digital manufacturing, but also the specifics of machine-building enterprises and the features of their products.
Analysis of foreign models for assessing the probability of bankruptcy and their application in Russian practice on the example of the public joint-stock company AVTOVAZ for the 2014-2016
Authors: Perevozhikov Nikita , Danilov Roman 
Published: June 2019

Abstract
There is an unstable economic growth in recent years, as well as unstable macroeconomic situation in general, so managers need to analyze not only the current financial condition of the enterprise, but also constantly to diagnose the probability of bankruptcy in the future. The paper carries out the analysis of foreign models for assessing the probability of bankruptcy, as well as Altman Z-Score and Altman-Sabato model which is based on logistic regression. Main attention is paid to application of models in Russian practice on the example of the public joint-stock company AVTOVAZ for the 2014-2016 years.
Peculiarities of training of high-tech enterprise specialists under modern conditions
Authors: Novikov Sergey V 
Published: June 2019

Abstract
This paper presents the transformations in the aviation industry that characterize the advent of a new industrial revolution and proposes a calculation of the complex indicator of the assessment of the effectiveness of training considering the new competences that characterizes the dynamics of modern changes. Also, it shows the results of using this model and analyzes the role of learning organizations in this era of change.
Trends and experience of preparing Russian enterprises for certification for compliance with ISO 9000 standards
Authors: Rudyuk M Yu , Gerasimova A V 
Published: June 2019

Abstract
The aim of the work is to summarize and systematize the factors of positive and negative motivation for the implementation of ISO 9000 standards in the quality management systems of Russian companies. The task is to develop recommendations that help reduce organizational resistance to the introduction of the philosophy of total quality management and the ISO 9000 standards based on it. The hypothesis of the study is that cases of lack of real benefits from the implementation of ISO 9000 standards are usually caused by a formal approach when to a certain extent, the letter is observed, but the philosophy of standards is not perceived. The study used the following methods: analysis of literary sources, collection and analysis of data on the implementation of standards of ISO 9000 series in specific enterprises. Results achieved: an analysis was made of the organizational resistance to the implementation of individual provisions and the philosophy of ISO 9000 standards, arguments of opponents of using these standards (based largely on the negative experience of their implementation: bureaucratization of quality management, lack of real benefits, etc.) were systematized, and recommendations that increase the loyalty of the internal environment of the organization in the process of introducing standards were proposed (additional training of personnel, their material incentives and introduction of positive experience).
Directions of region innovation infrastructure development in the context of increasing the high-tech production
Authors: Borisova E V , Erygin Yu V 
Published: June 2019

Abstract
The paper discusses the problems of interaction of high-tech military-industrial enterprises with regional innovation infrastructure facilities and development institutions that determine the need for a regional innovation infrastructure that supports and stimulates innovative projects to increase high-tech civilian production using the innovative potential of these enterprises. The importance of innovation potential of military-industrial complex commercialization as the most important factor in the innovative development of the country is shown. The role and place of the regional innovation infrastructure in solving the task of increasing the high-tech civilian production by enterprises of the defence-industrial complex have been determined, and the need to support large-scale enterprises with regional innovation infrastructure facilities and development institutions has been substantiated. The purpose of the study is to substantiate the directions of development of the regional innovation infrastructure in the context of increasing high-tech civilian production of defence enterprises. The study used the methods of the survey, system and comparative analysis, which allowed ensuring the validity of the results and conclusions of the study.
Training video surveillance system for the purpose of object identification with the help of neural networks
Authors: Zhigalov Kirill , Avetisyan Karen , Markova Svetlana 
Published: June 2019

Abstract
Research on the development of algorithms for the use of neural networks associated with video surveillance systems on the identification of the desired objects today go to a whole new technological level. Categorization of classes-objects of research, determination of actual zones of fixation, integration of functions-cloud computing, analysis of incoming data and their evaluation determine the relevance in the creation of a trainable model that allows to solve a wide range of problems when working with the existing and the flow of incoming data in real time both at the state and at the level of transnational companies.
Research of the issues of frequency and time support of the GLONASS system
Authors: Kartsan I N , Malanina Yu N , Zhukov A O , Klimenko A V , Tsarev R Y 
Published: June 2019

Abstract
The article deals with the ways of improving the accuracy of comparison of time scales of frequency and time standards in differential mode as well as the methods and algorithms for the implementation of differential comparisons of time scales of the spatially spaced highly stable o’clock. The accuracy of the location depends on many factors. With the GLONASS fully deployed orbital structure, one of the main factors determining the accuracy of obtaining the consumer coordinates is the accuracy of the navigation information transmitted as part of the navigation frame. The navigation information accuracy is determined by the state of ephemeris-time support.
Automation of oil and gas exploration by active seismic electric method
Authors: Shaydurov G Y , Potylitsyn V S , Stukach O V , Maikov O A , Romanov V V 
Published: June 2019

Abstract
The paper considers the issues of automation and improving the performance of the field work by the seismic electric method. It is shown that the measurement scheme used today is not optimal. It leads to a long-term deployment of the measuring installation, as well as the inability to use it in difficult geological and climatic conditions. The authors of the paper propose to use special magnetic antennas for recording the electromagnetic field, which eliminate all the drawbacks of grounded electric dipoles. It is shown that if simultaneously registering the various components of the electromagnetic field, it is possible to estimate the depth of the productive layers. The data of observations of seismic electrical effects in the gas-condensate field for various x, y, z components are given.
Evaluation of the possibility of wireless data transmission over rocks for automating an alarm system in mines using lowfrequency electromagnetic waves and radio tags
Authors: Kudinov D S , Kokhonkova E A , Maykov O A 
Published: June 2019

Abstract
The paper discusses the possibility of organizing a wireless data transmission channel in place of different kinds of mines for signalling and emergency communication using electromagnetic waves in the VLF propagation (300 Hz - 3 kHz). The paper gives theoretical estimates of the efficiency of propagation of electromagnetic waves in rocks and minerals with different values of electrical conductivity. The dependence of the depth of penetration on frequency is also studied. A review of the existing technical solutions to this problem is given. An analytical and numerical analysis of the current density in the rock and the magnetic field created by it using a radiating long cable is given. Reception of a signal with an informational message is carried out with the help of an individual radio tag informing personnel both in conditions of the mine’s normal operation and in emergency situations. Comparative evaluations of the efficiency of using radio tags with different configurations of a receiving antenna in mine conditions at a depth of up to 800 m are given.
Mathematical model specification of the automated control system subject based on the differential approach
Authors: Sidaras A A , Chentsov S V 
Published: June 2019

Abstract
This article is devoted to describing the process of mathematical model specification of an automated control system subject based on a differential approach with a help of statistical data of parameters that affect the reliability of the psychological testing results. The mathematical model of the subject is based on the fuzzy logic conclusion system, which with a greater adequacy allows to describe the subject in comparison with similar solutions, which are also based on the differential approach. There are description of the ideas and results of statistical analysis and research, the stages of the model specification process, explanations each of these stages, formulation the main provisions on the possibility of additional application of the developed mathematical model in the article.
Metric parameters of diffusion in destructive fillers automated networks
Authors: Surkov I , Ostapenko G , Belonozhkin V , Razinkin K 
Published: June 2019

Abstract
In this paper, a deep analysis was carried out and a classification of potentially destructive content and hazard metrics was obtained in an automated social network such as Instagram. The dependence effectiveness distribution of destructive content on the structural and functional specificity of a social network is determined. The classification of destructive content done in the Instagram social network allows us to determine the dependence popularity of various types destructive content on various parameters. The revealed dependence efficiency of the distribution of destructive content on the structural and functional specificity of a social network allows to design and implement the most effective organizational and technical measures to counteract the distribution of destructive content. Based on the above work, the owner of the automated network has the ability to influence the value of the network risk parameters in the context of the implementation of content wars.
Determination of the required degree of data protection in automated control systems
Authors: Davidyuk N V , Davidyuk V V 
Published: June 2019

Abstract
The article considers the specifics of automated control systems for technological production and processes as objects of information security, proposed the approach to the decomposition of their components for further evaluation of the necessary degree of protection of the data they process. The method for obtaining the quantitative assessment of the grade of information resources security is presented. The proposed method allows taking into account the data value and the degree of criticality of violations of its integrity, accessibility and confidentiality for the functioning of the system. It can be used in practice at enterprises of various kinds of activity as an independent procedure, or as part of measures at the stages of preliminary analysis of automation systems before design or improving their data protection subsystems.
Modification of ALL – SAT solver to search verification kits in testing
Authors: Lyapunova I A , Fomenko N A 
Published: June 2019

Abstract
To date, systems are being actively developed that imply automatic proof of software compliance with the so-called specification, i.e. requirements for it. However, in most projects, testing is still the basis of the verification process. Often this is done by people whose task is to develop tests for finding errors made by programmers in the code. Simplified tests represent a set of “input” parameters supplied to the entrance to the program, and upon completion of its work, the “output” parameters are compared with the “expected” ones according to the logic described in the specification. Testing can determine how repeated program execution with the intention of finding errors in it, but this in turn does not prove its correctness. This paper discusses the use of SAT solvers to solve the problem of finding verification kits for software testing and the development of an ALL-SAT solver modification).