bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cluster Discriminant Prediction of Oil Well Production Based on Mahalanobis Distance
Authors: Huang Bo , Kang Yunwei , Chen Ang , Guo Zixi , Sun Yicheng 
Published: January 2020

Abstract
The cost of oil field drilling engineering is very high. Effective well selection and formation selection will avoid waste of energy and resources. Aiming at the problem of well selection and reservoir selection in oilfield, this paper presents a clustering discriminant prediction method for oil well production based on Mahalanobis distance. Based on the field data of Xinjiang oilfield, the main control factors with greater influence are selected after data pretreatment in this paper. Then we randomly divide the data into training data set and prediction data set, and establish a discriminant model of oil well classification based on Mahalanobis distance. Finally, the model is used to predict the production of oil wells in the forecasting data set, and the prediction accuracy reaches 87.5%.
Research on Collaborative Filtering Recommendation Algorithm Based on Mahout and User Model
Authors: Song Bo , Gao Yue , Li Xiao-Mei 
Published: January 2020

Abstract
Based on the research status of recommendation system, the traditional collaborative filtering algorithm is explored. By establishing the concept of training sample and Mahout framework, a collaborative filtering algorithm based on Mahout and extracted user model can be proposed. Using this algorithm in the system of recommendation aims to solve the problem of transforming the traditional recommendation problem into the classification problem in machine learning. In this way, it can provide personalized recommendations for users. The analysis of the experimental results of the collected some data sets suggests that the algorithm based on user model and machine learning is effective and optimal, at the same time, the efficiency of the algorithm under Mahout framework is also verified.
Method Research and Realization of Noise FM Jamming Based on DDS Technology
Authors: Chuyang Zeng , Shang Gao , Jianyi Xiao , Jianwen Huang , minnuo He , Qiang Lin , Kaitong Huang , Jutao Huang , Ruiwen Ma 
Published: January 2020

Abstract
Noise FM jamming which has wide jamming band and large noise power is widely used in processing backup jamming to radar, fuze and communication. The paper adopt DDS combines with characteristic of FPGA chip to generate noise FM jamming. The method has large improvement in precision, structure and speed, and has broad application and prospect.
Stealthy Malware Detection Based on Deep Neural Network
Authors: Lu Shoupu , Li Qingbao , Zhu Xinbing 
Published: January 2020

Abstract
Network attacks using advanced local hiding technology have not only increased, but also become a serious threat. However, attacks using these technologies can not be detected through traffic detection, and some attacks imitate benign traffic to avoid detection. To solve these problems, a malware process detection method based on process behavior in possibly infected terminals is proposed. In this method, a deep neural network is introduced to classify malware processes. Firstly, the recurrent neural network is trained to extract the characteristics of process behavior. Secondly, training convolutional neural network is used to classify feature images generated by trained RNN features. The experiments results show that this method can effectively extract the features of malicious processes, and the AUC of ROC curve is 0.97 in the best case.
Visualization Research of STL Model Based on OpenGL Technology
Authors: Xu Wei , Jia Hongwei 
Published: January 2020

Abstract
With the OpenGL visualization as the background, some important attributes in the OpenGL application data table are processed by using the STL model visualization method. According to the advantages and disadvantages of OpenGL technology, it is rationally optimized. According to the computer display mode, the scale of visual graphics is designed. The OpenGL visualization data and the OpenGL STL model visualization method are reasonably combined, and the corresponding human-computer interaction technology is applied, which allows the user to customize the data according to the task goals.
Comparative Analysis of Properties of the Carbon-Based Coatings Obtained through Various PVD and CVD Deposition Methods
Authors: Korzhenko D V , Yurjev Y N , Emlin D R , Plotnikov S A , Vladimirov A B , Romanov I Y , Loginov B A , Loginov A B 
Published: January 2020

Abstract
The paper examines carbon 0.5-1µ thick coatings obtained through various physical vapour deposition and chemical vapour deposition methods on stainless steel and tool steel substrates. Their composition, morphology and physical properties have also been studied. The correlations of erosive wear resistance and H3/E2
ratio (where H is hardness and E is elastic modulus) have been identified for carbon coatings in regards to the production method. Ta-C carbon coatings demonstrate high resistance to dynamic loads with erosive wear in a sand-blast machine.
Development of a Software Package for Analysis of Heart Muscle Activity
Authors: Bezruckova O , Mishchenko A , Moroz K , Khanukaev M 
Published: January 2020

Abstract
Cardiac examinations are becoming increasingly common among all segments of the population. For a more accurate diagnosis, such tools as an electrocardiogram, ultrasound of the heart muscle, as well as computed tomography are used. To understand the processes that occur when a pathology occurs, it was decided to implement the mathematical and 3D models of the heart muscle that are interconnected. These models are individualized. The work of the heart is presented without a hemodynamic system, so the contraction processes are set using programmable spring pistons. The mathematical model was implemented in the MatLab software package. The paper describes the main problems that arose when creating a 3D model of the heart, and how to solve them. The development of the 3D model was carried out in the 3ds Max program, with the help of which not only the model was built, but also the parameterization of the model was considered according to the calculations. This experimental software aims to facilitate the diagnosis and detection of cardiac diseases.
Third-Order Low-Pass Filters for Limiting the Signal Spectrum at the Differential Input of the Analog/Digital Converters
Authors: Yu Denisenko D , Prokopenko N N , Butyrlagin N V 
Published: January 2020

Abstract
Two new architectures of the third-order low-pass filters (LPF) based on differential (Op-Amp) and differential difference amplifiers (DDA) with a paraphase output are compared. This architectures designed for practical use as anti-aliasing filters in analog-to-digital converters of sensor signals of various physical quantities. The basic equations of the developed LPF modifications that make possible to perform their parametric synthesis are given. The computer simulation results are presented, which show that the LPFs under consideration provide the guaranteed frequency response (FR) attenuation outside the bandwidth being implemented on Op-Amps by Analog Device (AD8132) and Texas Instruments (THS4131).
Synthesis of Si-Y Coatings on Nb in Fluoride-Chloride Molten Salts
Authors: Apisarov A P , Isakov A V , Chernyshev A A , Shmygalev A S , Vorotilov I A , Kashirtsev V V , Rahmanova O R , Zaikov Yu P 
Published: January 2020

Abstract
The preparation of multicomponent coatings based on silicon and yttrium on the niobium substrate was investigated. Y-Si/NbSi2 coatings on the Nb substrate by currentless deposition in molten salts were produced. The preparation of NbSi2 layers is carried out in NaF-NaCl-Na2SiF6 melts with the addition of Si powder. The preparation of Y-Si layers is carried out in NaCl-KCl-YF3 melts containing Y powder. Coating samples are studied using SEM. It is established that sequentially synthesized coatings are characterized by a two-layer structure. Using the EDS method, the chemical composition of the obtained layers is established: Y – 26.68; Nb – 62.55; Si – 10.76 wt. %. The oxidation test of the obtained coatings Y-Si/NbSi2 on Nb samples is performed. It is found that testing at 1200 ˚C for 2 hours leads to a mass loss of 62 mg/cm2·h.
Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
Authors: Wolanin Aleksandra , Mateo-García Gonzalo , Camps-Valls Gustau , Gómez-Chova Luis , Meroni Michele , Duveiller Gregory , Liangzhi You , Guanter Luis 
Published: January 2020

AbstractForecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite the challenges brought by climate change, an expanding world population accompanied by rising incomes, increasing soil erosion, and decreasing water resources. Temperature, radiation, water availability and other environmental conditions influence crop growth, development, and final grain yield in a complex nonlinear manner. Machine learning (ML) techniques, and deep learning (DL) methods in particular, can account for such nonlinear relations between yield and its covariates. However, they typically lack transparency and interpretability, since the way the predictions are derived is not directly evident. Yet, in the context of yield forecasting, understanding which are the underlying factors behind both a predicted loss or gain is of great relevance. Here, we explore how to benefit from the increased predictive performance of DL methods while maintaining the ability to interpret how the models achieve their results. To do so, we applied a deep neural network to multivariate time series of vegetation and meteorological data to estimate the wheat yield in the Indian Wheat Belt. Then, we visualized and analyzed the features and yield drivers learned by the model with the use of regression activation maps. The DL model outperformed other tested models (ridge regression and random forest) and facilitated the interpretation of variables and processes that lead to yield variability. The learned features were mostly related to the length of the growing season, and temperature and light conditions during this time. For example, our results showed that high yields in 2012 were associated with low temperatures accompanied by sunny conditions during the growing period. The proposed methodology can be used for other crops and regions in order to facilitate application of DL models in agriculture.
Elements of sustainable development of agricultural enterprises
Authors: Zinina O V , Olentsova J A 
Published: January 2020

Abstract
Rapidly changing modern economic conditions have highlighted the challenges of sustainable development of agricultural enterprises and its ability to resist adverse situations, which causes the need to ensure the reliability of each particular enterprise. Practice shows that the current problems cannot be solved without the formation of a mechanism that ensures sustainable development of the enterprise. In this article, the mechanism of sustainable development is considered as a set of different elements: organizational and managerial, technological, marketing, financial, investment, in relation to the external environment, internal factors, strategic objectives and current individual characteristics of the enterprise.
Biochemical aspects of obtaining yeast dough using a concentrate from germinated wheat grain
Authors: Kazina V V , Safronova T N , Ermosh L G 
Published: January 2020

Abstract
Sprouted wheat has an increased nutritional value and is well suited for enriching bakery products. Yeast dough from wheat flour is defined as an object of research. The process of testing was carried out using a steam convection apparatus. The technological processes occurring in a yeast dough with conducting concentrate from germinated wheat grain in the amount of 5-25% by weight of pre-ferment were studied. The study was carried out as part of a grant provided by the expert centre «PORA» for the project “Bread of increased nutritional value with sprouted wheat grain for the Arctic zone of the Russian Federation”. The article shows the effects of concentrate in an amount of 5-25% by weight of pre-ferment on the duration of fermentation, as well as on the organoleptic and physico-chemical characteristics of the finished semi-product. As a result, based on a comprehensive quality indicator, the recipe for yeast dough with a concentrate of germinated wheat grains in the amount of 10-20% by weight of the pre-ferment will be optimal by technology using a steam convection apparatus.
B2B sphere as an element of the exports potential development in the agricultural sector of the region
Authors: Zinina O V , Dalisova N A , Karaseva M V 
Published: January 2020

Abstract
A key driver for the B2B sector development in Russia is agriculture. The main problem is the transition from import substitution to export-oriented production. Today, Russian production is in great demand, as it has established itself as an organic and high-quality product. Krasnoyarsk krai is a region rich in its natural resources. The presence of high-quality raw materials has the opportunity to produce an environmentally friendly product especially appreciated today in the foreign market.
The role of mortality coefficients in planning and accounting for greenhouse gas emission reductions
Authors: Anuev E A , Vais A A , Martynova D O 
Published: January 2020

Abstract
The article presents tables of growth of fir plantations in the southern part of Siberia supplemented by carbon parameters. The dependences of the mortality coefficients on the stock and the number of trunks are considered. The obtained dependences will help determine what determines the relationship between the mortality coefficient and the stock and the number of trunks. Quantitative and qualitative characteristics of fir plantations of the South Siberian mountain forestry region considered in this paper will determine their production potential. The calculated coefficients will significantly reduce the uncertainty of carbon estimates, which will undoubtedly contribute to the development and implementation of forestry planning and practical measures for adaptation and adaptation to climate change. This will undoubtedly contribute to the reduction of greenhouse gas emissions, since the possibility and accuracy of taking into account the possibility of forests to bind and accumulate atmospheric carbon will increase.
Functional platelet activity in Dutch newborn calves
Authors: Vorobyeva N V , Medvedev I N 
Published: January 2020

Abstract
The hemostatic properties of platelets in cattle are physiologically very significant, as they affect the course of metabolic processes. This is especially significant in early ontogenesis and, apparently, strongly depends on the genetic characteristics of animals. The study was carried out on 37 Dutch calves, which were obtained from healthy cows after a normal pregnancy. All calves were examined and examined for 1-2 days, 3-4 days, 5-6 days, 7-8 days and 9-10 days of their ontogenesis. In the work were applied biochemical, hematological and statistical research methods. In the examined animals, during the neonatal phase, there was a tendency to inhibition of platelet aggregation in response to all inductors used. The number of platelet-discocytes in the blood of the examined Dutch calves in the first 10 days of their life experienced an upward trend. The amount of active platelet species they had decreased by 11.1%. The number of small and large platelet aggregates in the blood also decreased in them during the observation period. This was provided in the observed calves with a tendency to weaken the severity of synthesis in thromboxane platelets, a decrease in the level of adenosine phosphates in them and a weakening of their secretion. The level of platelet actin and myosin on the 1-2nd day in the examined calves was small and tended to decrease during the observation. Additional self-assembly of actin and myosin during platelet aggregation of the observed animals experienced some decrease during the observation period. It is clear that newborn calves of the Dutch breed are characterized by a high degree of functional sufficiency of platelets, creating physiologically favorable conditions for microcirculation processes. At the basis of these changes they have a small activity of the mechanisms that implement the hemostatic properties of platelets. Low intravascular activity of platelets in newborn calves of the Dutch breed is able to provide them with optimum perfusion and metabolic processes in all animal tissues that are necessary for the normal development of animals.
Multilayer polymer film as a factor of increasing the shelf life of poultry meat products
Authors: Ponomarev V Y , Yunusov E Sh , Nikitina E V , Khrundin D V , Ezhkova G O 
Published: January 2020

Abstract
The paper is aimed at studying the influence of new packaging materials with barrier properties on the quality indicators of semi-finished meat products from poultry meat in comparison with traditional packaging methods. It was found that the use of heat-shrink bags made of multilayer polymer film allows to increase the shelf life of semi-finished products by an average of 30%.
The impact of automation of agriculture on the digital economy
Authors: Guzueva E R , Vezirov T G , Beybalaeva D K , Batukaev A A , Chaplaev Kh G 
Published: January 2020

Abstract
The web, cell phones, and related innovations that encourage the accumulation, stockpiling, examination and sharing of information and data are changing numerous parts of life among an enormous what’s more, developing a portion of the total populace. Advanced advances with automation make data progressively accessible at all levels and purposes of the monetary procedure. This decreases exchange costs, encourages increasingly unpredictable hierarchical structures, grows to advertise openings and makes area progressively insignificant. These computerized advancements have been spreading quickly. By estimating economy-wide benefits, automation of different things for better benefits and outcomes is getting necessary day by day. Conventional theories are being updated through technology to save time and money both in an effective way. This research examines the development and impact of digital technology on various sectors of the digital economy. In particular, the study analysed the impact of digitalization of agriculture on the digital economy.
International trade and blockchain technologies: implications for practice and policy
Authors: Derindag O F , Yarygina I Z , Tsarev R Yu 
Published: January 2020

Abstract
International trade is an important aspect of business. Exchanging goods on a global scale allows states to produce and export goods that they are more efficient in and import the ones that they are not. As a result, countries reduce the cost of production, price of commodities, and expand their markets. Even so, international trade is a complex process that is facilitated by different financial, socio-political, and technological factors. The blockchain technology has revolutionized international trade and has the potential to continue doing so as this smart technology is still at its infancy. This paper analyzes the role and impacts of the blockchain in international trade, including the technology’s benefits, problems and challenges, and recommendations for improving its usefulness. The work finds that blockchain plays a significant role in international trade with numerous benefits. However, a few challenges should be addressed to ensure organizations in international trade benefits fully from blockchain technology.
Management system of grain production cluster of the region
Authors: Generalov I , Suslov S , Bazhenov R , Sibiryaev A , Firsova E 
Published: January 2020

Abstract
The purpose of the study is to develop an organizational model of the grain production cluster in the Nizhny Novgorod region, which will contribute to the formation of sustainable production and, as a result, increase the efficiency of the industry under study and strengthen food security in the region. The design of organizational structures was carried out by the method of analogies, which include the development of typical management structures of industrial and economic organizations and the definition of boundaries and conditions for their application. A cluster management system was developed, which consists of four blocks: a control block; production unit; processing and storage unit; block of education and science. Scientific novelty lies in the author’s approach to the development of a control system for the production of grain clusters. The proposed form will significantly increase the level of production sustainability among potential cluster members and strengthen food security in the Nizhny Novgorod region.
Automation of the drying process of agricultural raw materials to obtain products of high nutritional value
Authors: Altukhov I V , Bykova S M , Lukina G V , Ochirov V D 
Published: January 2020

Abstract
The purpose of these studies is to create an automated system for the drying process of agricultural raw materials. This system should be capable of providing biotechnological conditions for heating a single product to preserve especially valuable biological components in this product. Environmental problems of modern society determine the objective of functional nutrition of a person, as the basis of a healthy lifestyle. To solve this problem, it is necessary to obtain products of high nutritional value, with a maximum content of active substances. Each plant product contains not only vitamins and minerals, but also elements that determine its special value. During storage, these components are lost due to biological characteristics and storage conditions. To preserve them for a long period and create a product of high nutritional value, certain conservation methods must be used. Such methods include drying. Products dried in a special way are able to maintain up to 95% of their valuable indicators. An analysis of modern drying methods for plant raw materials showed that the pulse infrared-convection method more closely meets the requirements of biotechnological heating conditions and is therefore suitable for obtaining products of high nutritional value. This method has a sterilizing effect, which allows to increase the shelf life of finished products. The creation of an automated control system for pulse infrared - convection radiation made it possible to obtain products of high nutritional value for long-term storage.
Dynamic programming method in the tasks of optimal labor capital distribution programs
Authors: Zaitseva I V , Malafeyev O A , Kostyukov K I , Zubov A V , Bondarenko L A , Orlov V B , Yupatova K V 
Published: January 2020

Abstract
This article shows the application of the dynamic programming method to the tasks of the optimal distribution of labor resources by region. It discusses possible options for the formulation of this task, describes two models of the optimal distribution of labor resources, provides numerical examples.
Mechanized spraying of liquid meliorants
Authors: Vasilyev A A , Vasilyev S A , Shkilev N P 
Published: January 2020

Abstract
This article deals with the process of distribution of liquid meliorants on the surface of their application by means of a device for introducing liquid meliorants. The device itself is attached to the tillage working organ-the plane-cutting leg of the cultivator-deep-digger. In order to determine the quality of liquid spray and its distribution on the application surface, laboratory studies were conducted. The research was aimed at determining the optimal size of the hole diameters of the device to create a high-quality spray torch of the gas-liquid jet of meliorants. In the course of experiments, it was revealed that the rational diameters of the external (D) and internal (d) pipelines of the device for introducing liquid meliorants are D = 7 mm, d = 5 mm.