bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cooperative Differential Game Guidance Law for Two Pursuers and One Evader
Authors: Guo Z Q , Zhou S L , Yan S 
Published: July 2019

Abstract
For the nonlinear engagement between two pursuers and a single evader, in which small angle deviation assumption or other linearization conditions may not be applicable, a cooperative guidance law is analyzed and derived in the framework of a zero-sum two-person differential game. State-dependent Riccati-equation method is used to obtain the suboptimal solutions of the pursuit-evasion problem by choosing the line of sight angular rates as state variables, and closed-loop form guidance strategies that can be used online for the players are derived. Time-to-go estimations are not had to be taken into account to apply the guidance law proposed. Nonlinear two-dimensional simulations are carried out to validate the performance of the cooperative guidance law, and the comparison with a current cooperative linear quadratic differential game guidance law is made.
A Review of the Research on Dialogue Management of Task-Oriented Systems
Authors: Jiang Zhao Yin , Ling Li Yan , Lin Min 
Published: July 2019

Abstract
Scholars pay more and more attention to the spoken dialogue system after the emergence of deep learning technology. The task-based dialogue system has become one of the most important branches in the field of spoken dialogue systems. Dialogue management is the core of the task-based dialogue system, and its research theory and technology have been gained extensive attention. This paper summarizes the research progress and current situation of task-based dialogue system and dialogue management strategy. Firstly, it summarizes the status of the task-based dialogue system models and compares their advantages and disadvantages. Then it focuses on the analysis of various dialogue management research strategies from the perspective of model theory and research methods. Finally, it looks forward to the future research direction of task-oriented dialogue system combined with dialogue management.
Research of OpenMV Intelligent Monitoring and Disease Identification System
Authors: Wang Xiu-qing , Chen Qi , Yao Shi-jia , Jia Xiao-yun 
Published: July 2019

Abstract
Aiming at the requirement of video surveillance and disease identification in modern greenhouse, this paper designed a system consisted by greenhouse intelligent monitoring and disease identification system. At first, this paper using OpenMV camera designed a disease monitoring system which could recognize and collect disease images automatically by multi-color thresholds tracking. Then, this paper designed a cuckoo search and BP neural network collaborative search (CSBP-CS) algorithm, the algorithm combined the global search capability of Cuckoo Search(CS) and back-propagation algorithm of BP algorithm to optimize weights and thresholds collaboratively. this paper took three tomato diseases and normal leaves as research objects, firstly step was to separate the disease spots from disease images, then was to extract 56 classification features and select 47 excellent classification features by relief F to construct CSBP-CS RF classifier. Finally, this paper compared the classification accuracy of CSBP-CS with CSBP-CS RF network and analyzed the effectiveness of relief F. The simulation results showed that the average correct recognition rate of the CSBP-CS RF was approximately equal to CSBP-CS under the same conditions, but CSBP-CS RF is more simple, so Relief F can help to speed up the efficiency of CSBP-CS.
Intelligent Recognition of Production Date Based on Machine Vision
Authors: Sun Xiaona , Gao Guohua , Tian Boxing , Li Bowen , Zhang Sai , Huang Juan 
Published: July 2019

Abstract
Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.
Multi-layer Feature Fusion Network with Atrous Convolution for Pedestrian Detection
Authors: Li You , Zhang Qingxuan , Zhang Yulei 
Published: July 2019

Abstract
In this paper, we present a simple but effective framework K-AFPN that incorporates feature pyramid method for small-size pedestrian detection, fully utilizing the lower-layer detail features and higher-layer semantic features. The method not only enhances the robustness of the features, but also improves the discrimination of the feature maps, achieving competitive accuracy. In addition, atrous convolution is used to optimize the network for high-resolution feature maps, avoiding information loss caused by frequent down or up sampling. On top of the backbone network, K-means algorithm is used to obtain optimal initial anchor base sizes, which reduces computational costs and improves location accuracy. Hence, our method pays more concentration on pedestrians, especially those of relatively small size. Comprehensive experimental results on two classic pedestrian benchmarks illustrate the effectiveness of the proposed approach.
Design and Performance Analysis of a Lateral Thrust Measuring Device
Authors: Ren Zongjin , Hua Mei , Zhang Jun , Li Yang 
Published: July 2019

Abstract
This paper takes multi-dimensional force measurement of lateral force power unit as research objective, and a piezoelectric multi-dimensional force measuring device with piezoelectric quartz crystal as force sensitive component is designed. First, the mathematical model between sensors’ output and measured lateral force is established by theoretical derivation. The relationship between the force applied to measured object and measuring device’s output is obtained through the finite element analysis, which verifies the measurement performance of measuring device. On the other hand, through ANSYS model analysis, a conclusion that the first natural frequency of measuring device is 1467.8Hz can be obtained, and the dynamic performance of measuring device is good, which enables accurate measurement of real-time varying lateral force.
Review of Intent Detection Methods in the Human-Machine Dialogue System
Authors: Liu Jiao , Li Yanling , Lin Min 
Published: July 2019

Abstract
Spoken language understanding is an important part of the human-machine dialogue system, intent detection is a sub-task of spoken language understanding, and it is very important. The accuracy of intent detection is directly related to the performance of semantic slot filling, and it is helpful to the following research of the dialogue system. Considering the difficulty of intent detection in human-machine dialogue system, the traditional machine learning method cannot understand the deep semantic information of user’s discourse. This paper mainly analyzes, compares and summarizes the deep learning methods applied in the research of intent detection in recent years, and further considers how to apply deep learning model to multi-intent detection task, so as to promote the research of multi-intent detection methods based on deep neural network.
Integrated Modelling and Static Experiment of a Novel Tandem Ducted Fan Flying Robot
Authors: Liu Lei , Xiang Changle , Xu Bin , Fan Wei 
Published: July 2019

Abstract
This paper puts forward a novel tandem ducted fan flying robot which has nice passivity and compact structure aiming at operating in complicated and dangerous environment. The structure of its ducted coaxial twin-rotor with reverse rotation is unconventional and make its aerodynamic characteristics much more complex. To solve the problem, the modelling method of the traditional open rotors with the blade element theory and the momentum theory is extended to the ducted coaxial twin-rotor structure, and the integrated dynamic model of the ducted fan flying robot is established. After the modelling, a static lift experiment has been carried out, and the aerodynamic model of the ducted coaxial twin-rotor structure is modified based on the test results.
Short-Term Photovoltaic Generation Forecasting Based on LVQ-PSO-BP Neural Network and Markov Chain Method
Authors: Wang Xiran , Ma Xue , Lou Suhua , Peng Fei , Wu Song 
Published: July 2019

Abstract
With the rapid development of solar photovoltaic generation, the effective prediction of photovoltaic is of great significance to mitigate its impact on power system. According to the analysis of main factors which affect power output of photovoltaic system, a short-term power forecasting model based on back propagation(BP) neutral network and LVQ-PSO-BP neural network and Markov chain method was established. The weather is clustered and distinguished by using learning vector quantization(LVQ) and the particle swarm optimization(PSO) is used to optimize BP neural network weights and thresholds, improving forecasting network training speed. Finally, daily predictive value is corrected by Markov chain method to improve short-term photovoltaic generation forecasting precision. The simulation results indicate that the proposed method can accelerate the speed of searching optimums, improving the classification accuracy of weather types and the precision of the photovoltaic generation output effectively.
LM Algorithm Neural Network Predictive Control of FlexRay Bus System
Authors: Liu Zhi-chao , Wang Yi 
Published: July 2019

Abstract
In view of the uncertainty of data transmission due to the irregular data flow in the network and the limitation of network bandwidth resources, which makes the control performance and stability of FlexRay network decrease when data is transmitted at high speed and the reliability and safety of the control system can not be guaranteed, this paper proposes a method based on the Levenberg-Marquardt (LM) algorithm for neural network predictive control of the FlexRay bus. The method can predict the next moment operating state of the car network according to the current moment working state of the FlexRay car network to adaptively adjust task workload to adapt to changes in vehicle network system load and improve the reliability and stability of FlexRay network control system. The simulation results show that the neural network predictive control has good adaptability and robustness, which improves the control performance of the FlexRay automotive networked control system effectively.
Temperature influence on the composition of high-carbonic Domanic rocks organic matter during hydrothermal treatment in CO2 atmosphere
Authors: Kayukova G , Mikhailova A , Nasurova Z , Sotnikov O , Nazimov E 
Published: July 2019

Abstract
Depositions of the Domanic type in the territory of Tatarstan are stratigraphically associated with carbonate-siliceous deposits of the Upper Devonian part of the section. These deposits, enriched with organic matter, are characterized by the ability to generate liquid and gaseous hydrocarbons and accumulate them in the form of deposits of unconventional type. In this paper, the results of geochemical studies of rock samples from the depth interval 1705-1728 m of the Semi-Bug-Buregian deposits of the Berezovskaya area of the Romashkino oil field are presented. It is shown that the rocks, in spite of the narrow core sampling interval, differ in the content of quartz and calcite, as well as in the admixture of minerals such as muscovite, pyrite and albite. The content of organic matter according to thermal analysis data varies from 1.97 to 35.48 %, a significant part of which falls on an insoluble organic matter - kerogen. The influence of hydrothermal processes on the production capacity of the organic matter of these rocks is shown to generate hydrocarbons at temperatures of 200, 250, 300 and 350°C in a carbon dioxide medium. The yield and quality of the products obtained is estimated. The results of the research give grounds to believe that: firstly, the rocks of the Berezovskaya area of the Romashkino oil field have not fully realized their oil potential and the hydrothermal effect on them contributes to the thermal maturation of organic matter in the rock; second, at these temperatures, more intensive recovery of free hydrocarbons from the rock occurs. Thus, the hydrocarbon potential of the house rock is determined by the composition and content of liquid bituminous components that are in a free state in the rock, as well as the products of destruction of tar-asphaltene substances and macromolecules of insoluble kerogen and, consequently, it can be successfully realized with further optimization of hydrothermal processes directed to increase the quantity and improve the quality of the extracted fluids.
Acid compositions for enhanced oil recovery from carbonate reservoir
Authors: Ibragimova D , Ivanova I , Ivanov D , Akhmetzanova R 
Published: July 2019

Abstract
This work is devoted to selection of acidic compositions for use in the process of acid fracturing of carbonate oilfields. The selection is based on the stability of the compositions and their compatibility with oil and corrosion influence on oilfield equipment. The object of research was highly viscous bituminous oil and carbonate rock of Tatarstan Republic (Russian Federation). The object of research was oil and carbonate rock samples from the Vereian horizon of the Vishnevo-Polyanskoe oil field, which is characterized by oil containing in carbonate rocks. The chosen oil can be pertained to highly viscous bituminous oil according to its density and viscosity, what makes the process of its extraction from oil formations complicated. As the result there were selected two acid compositions which contained hydrochloric acid 15 wt %, demulsifier, dispersant, iron converter (for Fe3+ 2000 and 5000 ppm concentration) and corrosion inhibitor. The effectiveness degree of selected compositions was also demonstrated.
Multifrequency (9 and 95 GHz) EPR study of stable radicals in asphaltenes fractions of oils and bitumen
Authors: Gafurov M. , Mamin G. , Ganeeva Yu. , Yusupova T. , Volodin M. , Gracheva I. , Orlinskii S. 
Published: July 2019

Abstract
Structural characterization of asphaltenes in complex systems such as native hydrocarbons is in the focus of scientific and industrial interests since many years. Various analytical tools and approaches are used for that. We present the results of our study of asphaltene fractions A1 and A2 with the predominantly “island” type and “archipelago” type asphaltene molecules by conventional and pulsed electron paramagnetic resonance (EPR) at X-band (9 GHz) and W-band (95 GHz) with aim to expand the abilities of EPR technique for asphaltene characterization. Shift to the higher frequencies allows to separate spectrally the contributions from paramagnetic complexes of different origin, define the EPR parameters more accurately comparing to the conventional X-band EPR. Application of pulsed techniques allows (at least partially) to separate the radicals in time domain. Features of the obtained spectra are described. Electronic relaxation times are found to be different for stable “free” radical for A1 and A2 fractions. We suggest that the obtained results can be used for investigation of various petroleum systems.
95 GHz electron paramagnetic resonance of LiYF4: Nd3+ crystal in parallel orientation
Authors: Mamin G , Murzakhanov F. , Razina A. , Kurkin I. , Baibekov E. , Orlinskii S. 
Published: July 2019

Abstract
We report the observation of the conventional and pulsed electron paramagnetic resonance (EPR), electron-nuclear double resonance (ENDOR) spectra from 19F and 7Li nuclei on impurity Nd3+ ions in LiYF4 crystal doped with Nd3+ ions in parallel orientation at microwave frequency of ν ≈ 95 GHz (W-band). The resolved structure from the nearby and remote nuclei in spectra is observed. The outcome shows that LiYF4:Nd3+ system can be exploited as a convenient matrix for performing spin manipulations and adjusting quantum computation protocols while ENDOR technique is usable for the investigation of electron-nuclear interaction with the nuclei of the system.
Thermal properties of the bituminous sandy rocks of the Volga-Ural oil and gas province.
Authors: Mullakaev A I , Khasanov R R 
Published: July 2019

Abstract
Natural accumulations of bitumen in the Volga-Ural oil and gas province are unconventional sources of hydrocarbons. They are mainly concentrated in the Republic of Tatarstan and are confined to psammitic (sandy) rocks of lower Permian age (Sheshmian Horizon of Ufimian Stage). Sands and sandstones belong to the greywacke group, so rock-forming minerals are represented by quartz, feldspars and effusive fragments. The internal structure of the bitumen-containing reservoir is characterized by an extreme degree of lithological and mineralogical heterogeneity, which is the result of the imposition of a whole complex of processes. Since the beginning of the development of bitumen deposits by thermal methods, the issues of studying the internal heterogeneity and its influence on the production process become particularly acute. Internal reservoir heterogeneity may prevent uniform heating and the formation of a full-fledged steam chamber. Sands and sandstones of the productive part are divided into three rock types (bituminous sands, bituminous sandstones and residual bituminous sandstones). Thermal studies using methods of thermogravimetry (TG) and differential scanning calorimetry (DSC) showed differences in rock types in terms of the decomposition of mineral and organic components, as well as the removal of gaseous components. As a result of thermal studies, it was found that not only loose, bitumen-saturated sands, but also denser, cemented rock types can serve as a reservoir for hydrocarbons. This is due to the conservation of hydrocarbon fractions in the intergranular space during the formation of carbonate cement.
Numerical study of polymerization processes on various catalytic systems
Authors: Grigoryev Igor , Mustafina Svetlana , Medvedeva Olga , Mustafina Sofya , Larin Oleg 
Published: July 2019

Abstract
A set of algorithms for determining the averaged molecular characteristics of the polymer and finding the optimal initial concentrations was built on the basis of the mathematical software for solving rigid and non-rigid systems of ordinary differential equations describing various polymerization processes. With the help of the developed mathematical and software computational experiments were carried out for various technological parameters and production recipes for the considered processes. The dependencies of the molecular mass characteristics of the copolymer on the time of polymerization or conversion of monomers were built, which showed agreement with the data obtained as a result of experiments in the central factory laboratory of Synthez-Kauchuk OJSC (Sterlitamak, Republic of Bashkortostan) and the laboratory of physico-chemical studies of polymers of BashSU.
Forecast estimation of sandstone collectors transformation of Lower-Karmalinsky bituminous deposit during its development by the SAGD method
Authors: Korolev E , Bakhtin A , Eskin A , Barieva E , Korolev A 
Published: July 2019

Abstract
In order to increase hydrocarbon reserves in recent years, begun to actively involve natural bitumens in the development. On the territory of Tatarstan, one of the experimental sites for testing various technologies for the extraction of bitumen is the Lower-Karmalinsky bitumen deposit. Currently, on the field is testing the SAFD method. According to this technology for the extraction of hydrocarbons, steam is pumped in large volumes at a temperature of about + 180°C. Superheated steam reduces the viscosity of hydrocarbons, making them mobile. However, focusing on the reduction of bitumen viscosity, the problem of mineral phase’s transformation due to anthropogenic impact in reservoir is not taken into account. In this work, using thermodynamic modeling, it was shown that the injection of superheated steam into the formation of bitumen-saturated sandstone will lead to the dissolution of calcite cement. Moreover, depending on the salinity of the injected water in the form of steam, the dissolution of carbonates will occur at different temperatures. To improve the technological characteristics and to increase the recoverability of bitumen from reservoir, it is recommended to pump hot water with as little mineralization as possible into sandstone layers. Temperature intervals were established, which should be followed in the process of technological development of bitumen collectors at the stage of heating the reservoir and at the stage of extracting water-bitumen solutions.
Problems of shale oil hydrocarbons, ultra-viscous oil reservoirs and natural bitumen deposits development in Tatarstan
Authors: Uspensky B V , Morozov V P , Valeeva S E 
Published: July 2019

Abstract
The area of the Volga-Ural oil and gas basin belongs to the “old” oil and gas bearing regions. The most part of easily recoverable reserves of large and unique oil fields already have been developed within the area. Therefore, super-viscous oil reservoirs, natural bitumen deposits and shale hydrocarbons seized the attention of local petroleum geologists. Tatarstan is a classic example in that sense. The Republic of Tatarstan is a leader in the development of heavy oil resources, a leader in the degree of knowledge of natural bitumen accumulations, as well as a leader in technological readiness for their development. In the depths of Tatarstan, there are more than 450 fields of ultra-viscous oil and natural bitumen with reserves ranging from 2 to 7 billion tons of this type of hydrocarbons. However, their industrial development due to low profitability is slow. To solve the problem, it is necessary to search for and commercialize economically viable technologies for the production, transportation and processing of hydrocarbons, which take into account its features and do not require increased energy and other material costs. Therefore, the search for the right unconventional hydrocarbons production concept is an urgent problem of our time.
Laboratory studies of the behavior of organic matter of the Bazhenov deposits during thermal effects
Authors: Sitdikova L , Bondarev E , Khasanova N , Sidorova E 
Published: July 2019

Abstract
Currently, the role of unconventional facilities for hydrocarbons is increasing. Such objects include the Domanik rocks (Republic of Tatarstan) and Bazhenov deposits (Western Siberia). The article presents the results of studying the type of organic matter of the Bazhenov suite and studying the process of pyrolysis of organic matter. It is established that the formation of new free hydrocarbon radicals occurs at temperatures up to 350°C (pyrolysis of organic matter). This indicates that the rocks of the Bazhenov suite did not fully realize their hydrocarbon potential. The deposits of the “normal” section of the Bazhenov suite not only contain a large amount of ready and hard to recover hydrocarbons, but also have an additional generation potential.
Thermal Conversion of Heavy Crude Oil in the Presence of Formic Acid as a Hydrogen-donor Solvent
Authors: Almuntaser A. , Varfolomeev M. , Suwaid M. , Djimasbe R. , Garayeva D. , Ulbaev A. 
Published: July 2019

Abstract
In this study, thermal conversion experiments of heavy oil using steam and formic acid as a hydrogen donor were carried out in a batch reactor at T = 380 °C and P = 165 bar. Material balance and products distribution were calculated after the experiments. Properties of crude oil before and after thermal conversion were analyzed including: viscosity, API gravity, SARA and elemental analysis measurements. It was shown, that application of formic acid as a hydrogen-donor solvent leads to the reduction of coke and gaseous products formation and to the increase of liquid products yield. In addition, the viscosity of upgraded oil was decreased by 23.2% due to addition of formic acid in comparison with thermal conversion without the hydrogen-donor solvent.