bluuebunny/crossref_metadata_2025_split huggingface dataset:
Text Modeling Based on the Analysis of Categorical Words
Authors: Wang Xiaoli 
Published: July 2019

Abstract
Recently the most essential research in machine learning is to discover correct topics from large scale of electronic documents, and many studies about text modeling have been made in natural language process with the environment of big data. This paper discusses a fundamental way for people to form words while talking and describing ideas, the document is considered as words convergence and a new method for text modeling based on the relational analysis about verbs, nouns, and modifiers is proposed. Additionally the paper introduces a new algorithm for estimating parameters in the generative probabilities of the model, which can alleviate the process about statistics-based text analysis from computational complexity. Experimental results show that the method improves the quality for learning a document.
A Phoneme Sequence Driven Lightweight End-To-End Speech Synthesis Approach
Authors: Jiang Zite , Qin Feiwei , Zhao Liaoying 
Published: July 2019

Abstract
This paper develops an end-to-end neural network model for text-to-speech (TTS) system based on phoneme sequence. Inspired by the Tacotron-2, the proposed model adopts an encoder-decoder model with attention mechanism and applies mel-spectrogram to measure the intermediate acoustic feature. Phoneme sequence is used to replace the character sequence in order to overcome the shortage of the character feature used in Tacotron-2. Unlike the conventional concatenate methodology based TTS system, our model can generate waveform directly from phoneme sequence. In addition, analogue from text analysis, a new analysis methodology is proposed for phoneme analysis. Experiment result on LJ Speech dataset shows that, compared with char-based model, our model can get a comparative or better performance.
Anomaly Detection of ICS based on EB-OCSVM
Authors: Zhang R B , Xia L H , Lu Y 
Published: July 2019

Abstract
Industrial process anomaly detection mechanisms have been proposed to protect industrial control system to minimize the risk of damage or loss of resources. In this paper, an one-class Support Vector Machine based extended boundary (EB-OSCVM) is used to detect anomalies in industrial multivariate time series data from a simulated Tennessee Eastman Process (TEP) with many cyber attacks. In detail, determine the change points of each process variable and capture the causality relationship between the variables based on the location and time delay of the change points. Then, by monitoring the leaf nodes in the causality graph, we can know whether the system is abnormal, it can effectively reduce the dimension of process data. The EB-OSCVM extend classification boundary of OCSVM in order to reduce the error of noise, if data is outside the boundary of EB-OCSVM, there is an anomaly. Finally, tracing the anomaly source according to causal direction. An experiment is used to verify the effectiveness of the proposed approach, the results demonstrate that the approach presents a high-accuracy solution and traces the source of anomaly correctly.
Optimization of Potato Soil Transportation Separation Mechanism Based on Discrete Element Method and TRIZ Theory
Authors: Xie Haifeng , Gao Guohua , Tian Boxing , Li Bowen , Zhang Sai , Huang Juan 
Published: July 2019

Abstract
In this paper, based on the problem of poor operation of sweet potato harvester, the discrete element method and TRIZ theory are used to optimize the key mechanism. Based on the discrete element method, EDEM software was used to simulate the operation process of the potato soil conveying and separating mechanism, and the optimal combination of working parameters was obtained. The linear velocity of the rod lift was 2.3 m/s, the inclination angle was 18 degrees, and the amplitude was 8 mm. Field experiments were carried out to verify the results. Through the problems in simulation and field experiment, based on TRIZ theory, the improvement scheme is proposed by using physical contradiction, and the two-stage potato soil transport separation mechanism is obtained. The simulation results show that the operation effect is improved obviously. Finally, the optimization of potato soil transport and separation mechanism is completed by determining the optimal working parameters and improving the structure innovation.
An Automatic Electricity Meter Reading System Based on Neural Vision Location
Authors: Yin Jin , Xia Pengfei , He Jingsong , Gu Li , Yang Kejun 
Published: July 2019

Abstract
Remote meter automatic reading and smart meter reading is a vital part of smart grid and has been widely concerned. Traditional manual method is manpower consuming. Developing an automatic electricity ether reading system is necessary in practice. Two particular aspects in this task should be concerned. One is different-perspective problem, which causes by the variations of camera position and leads to pool display localization. Another is information diversity problem. Namely, the electrical meter used in this paper needs to recognize effective information from diversity information. This paper describes a novel automatic electricity meter reading system, which can automatically locate and recognise effective information. For the camera perspective variability problem, we utilize a new localization method based on neural network. Via actual meter monitoring experiment, the result shows our system can efficient recognition and achieve 97% accuracy.
Adaptive Integral Sliding Mode Guidance Law with Impact Angle Constraint Considering Autopilot Lag
Authors: Li X B , Zhao G R , Liu S , Han X 
Published: July 2019

Abstract
For the interception problem of maneuvering targets, considering impact angle constraint and first-order autopilot lag, an adaptive integral sliding mode guidance law is designed. A new nonsingular finite-time integral sliding mode surface is constructed, which consists of LOS angle, LOS angular rate and LOS angular acceleration, and ensures that the states of the guidance system converge to zero on the sliding mode surface in a finite time. Moreover, an adaptive law is designed to estimate the upper bound of the target’s unknown acceleration. The Lyapunov stability theory proves that the guidance system can converge to zero strictly in a finite time with the proposed guidance law. Finally, the simulation results verify the effectiveness of the designed guidance law.
Disturbance Observer Based Sliding Mode Control for Marine Diesel Engine
Authors: Li Xuemin , Liu Yufei , Yang Yunlong , Zhang Jian , Wang Runzhi , Feng Chunyue 
Published: July 2019

Abstract
In this work, a disturbance observer is designed to obtain the total disturbance including the unknown part, and the error system of the disturbance observer is proved to be finite-time convergence. Based on the total disturbance, a sliding mode controller with exponential reaching rule is proposed for the speed control system of a marine diesel engine. The performance of the proposed controller and the disturbance observer is tested by the simulations on a marine diesel engine model. It shows that the proposed disturbance observer can achieve satisfactory results, and both the control performance and the robustness of the DOSMC are superior to the PID controller.
Polytopic Model Weighted H∞ Output Feedback Control of Switched Lpv System Based on Mdadt
Authors: Wang Tao , Wang Xuehai 
Published: July 2019

Abstract
This paper provides and validates a class of weighted H
∞ output feedback controllers of switched LPV (Linear Parameter Varying) systems based on the MDADT (Modal Dependent Average Dwell Time) method. First of all, the article uses a multi-lyapunov function to convert the linear parameter varying system into a polytopic model, and designs a switching law that can guarantee the system to be globally uniform and exponentially stable on the MDADT method. It can be shown that when the state is stable and can be measured in real time, the switching law and weighted H
∞ controllers for each subsystem under the MDADT limit can be calculated. Finally, a numerical example is given to verify the feasibility of this method and the stability of the switched LPV system.
A SLAM Algorithm Based on Multi-Constraint Learning Model
Authors: Shi Haibin , Guo Menghao , Zou Yuanbin , Xu Zhi 
Published: July 2019

Abstract
Unsupervised Learning based SLAM algorithm has lately drawn significant attention for its potential in label-free leaning ability and robustness to camera parameters and environmental variations. In order to achieve better robustness and accuracy, a multi-constraint learning model is proposed. In contrast to traditional geometry-based methods, multi-constraint unsupervised learning models optimize the photometric consistency over image sequences by warping one view into another; make the Network learning more geometrically information. A lot of experiments on the KITTI data set show that our model is superior to previous unsupervised methods and has comparable results with the supervised method.
Features of the change in the composition heavy oils of various types and solid asphaltite in the hydrothermal-catalytic conditions
Authors: Kayukova G , Abdrafikova I , Vakhin A , Antipenko V 
Published: July 2019

Abstract
The paper reveals the distinctive features of the change in the composition heavy oils of various types and of natural bitumen - asphaltite from the sandstones of the Permian sediments of the Spiridonovsky field in the territory of Tatarstan, in model experiments at a temperature of 250°C, characteristic for steam-thermal impact on the formation, and the pressure in the system of not more than 2 MPa. The choice of low pressure is due to the fact that bituminous rocks in the Permian sediments occur at relatively shallow depths in the near-surface deposits of the sedimentary strata, which necessitates the development of special technologies for their extraction. The experiments used natural iron oxide - hematite. As a part of the products of asphaltite conversion under the influence of hydrothermal-catalytic factors, the content of hydrocarbons almost 4-fold, the content of alcohol-benzene resins and asphaltenes decreases. The content of benzene resins increases somewhat. The composition of asphaltite proved to be less stable than of heavy oils from age-old sediments, apparently due to special conditions for the formation of its composition in natural conditions under the influence of secondary low-temperature biochemical processes that led to the accumulation of thermally unstable resinous-asphaltene components. Compared with the original asphaltite, in the products of the experiment, the content of alkanes of composition C10-C30 substantially increases with an obvious predominance of homologues with an even number of carbon atoms in the molecule. The product is characterized by a lesser degree of aromaticity and content of sulfoxide groups. The results of the studies showed the possibility of upgrading the composition of solid bitumen - asphaltite in in situ conversion by diluting its composition with lighter newly formed hydrocarbons, due to the destruction of its high molecular weight components.
Overhauser-driven dynamic nuclear polarization for petroleum systems: literature survey and comparing with experiments
Authors: Alexandrov A , Gafurov M. 
Published: July 2019

Abstract
Overhauser dynamic nuclear polarization (ODNP) in solutions of various paramagnetic complexes has been studied for 60 years, but only in recent years has found applications of broad interest to biophysical and biomedical sciences, for the investigation of soft materials and biomolecules. Relatively few aplications are focused on the ODNP in petroleum dispersed systems (PDS) like oils, bitumen, their fractions and solutions. This work present a short review of the ODNP studies of PDS with aim to introduce the basic concepts and key values for the effective petroleum ODNP in low and high magnetic fields. Experimental results obtained in our Laboratory by using home-made spectrometer are included. The study can be used for designing ODNP spectrometers, proton precession magnetometers for geological and geophysical exploration, investigation of supramolecular organisation of PDS and their components.
An estimation of Ufimian terrigenous reservoir lithology influence on oil recovery factor by steam stimulation basing on tube experiments
Authors: Rojas A. , Idrisov I. , Sudakov V. , Nurgaliev D. , Grachev A. 
Published: July 2019

Abstract
The settings, scale and geometry of lab facilities to simulate enhanced recovery methods play a significant role in the approximation of underground conditions of oil fields. The reliability more or less of the best replication of these conditions is a question of the reservoir engineer when forecasts are made for cases when enhanced recovery methods are applied. This paper presents the results of two experiments carried on in a steam flooding tube facility adding clay in one of them to assess the influence in temperature growth and production rates and onset times of a highly viscous oil field of the Tatarstan Republic. The results of the runs show that 4% (by weight) of clay content in the porous media has a strong effect on the overall oil recovery, reducing the temperature growth rate in average 73% when steam stimulation methods are used.
Building a model of the isoprene polymerization process in the presence of microheterogeneous neodimiumcatalytic systems
Authors: Miftakhov Eldar , Mustafina Sofya , Medvedeva Olga , Zhavoronkov Dmitriy , Mustafina Svetlana 
Published: July 2019

Abstract
In the research is built the mathematical model of the isoprene polymerization process in the presence of microheterogeneous neodimium catalytic systems. The direct problem is solved and is analyzed the molecular-mass distribution of the polymer. An algorithm of solving the inverse problem for search and elaboration of the kinetic parameters of the research process is developed.
Measurement of Damköhler number on the X-Ray computed tomography basis in the process of heavy oil carbonate reservoir acidizing
Authors: Kadyrov R 
Published: July 2019

Abstract
Nowadays, cases of the joint use of thermal and chemical methods of enhanced oil recovery have become more frequent. In this regard, acid treatment has an important role, which allows increasing the productivity of wells with low-permeability carbonate reservoirs. At the experimental level, the presence of an optimal injection mode has been proven, that depends on the dimensionless of Damköhler number and leads to the formation of “wormholes” of dissolution with increasing reservoir permeability. In this work, a new optimized method for calculating the Damköhler number based on X-ray computed tomography data is proposed. A comparison of the calculation of values by the classical and the new technique for different wormholes is presented.
Analysis of the results of tracer tests for the monitoring of the development of super-viscous oil deposit
Authors: Shipaeva M. S. , Sudakov V. A. , Akhmadullin R. R. 
Published: July 2019

Abstract
The article describes the results of implementation tracer studies at one of the super-viscous oil deposits in the Republic of Tatarstan. Accurate information on the flow of liquid in oil deposits is absent, this is an obstacle to the successful development of such deposits. The information obtained as a result of tracer studies is an addition to the general history of field development and is used to reduce uncertainties in the construction of geological and hydrodynamic models of deposits. The main tasks were the determination of the hydrodynamic connection between the wells along channels with low filtration resistance, the determination of the filtration rates of the condensate in the reservoir and the heterogeneity of the reservoir in the inter-well space of the investigated section of the oilfield. In order to determine the quality of the hydrodynamic connection within the bituminous deposit, the geological structure, as well as the direction of the filtration streams, a solution of the chemical eosin indicator was pumped into one of the steam injection wells, followed by registration in the samples of the surrounding production wells. To detect fluorescent indicators in the wells, unique equipment was used that significantly reduces the previous sample processing and detection time.
Microstructure characteristics and properties of yttrium-bearing 9Cr ferritic-martensitic steel cladding tubes
Authors: Chen Yingxue , Yan Qingzhi , Zhang Xiaoxin , Yang Jiabao , Hong Zhiyuan 
Published: July 2019

Abstract
Thin wall cladding tubes of yttrium-bearing 9Cr ferritic-martensitic steel have been fabricated by cold-rolling process, with the final dimensions of 6 mm outer diameter, 0.5 mm thickness and 3 m length. The changes of microstructure of hot-rolled plate, forged rod and the final tubes were attributed to the cold-rolling process and the intermediate heat treatment. Mechanical properties were tested from room temperature to 600 °C. The final tubes showed the strength level between the traditional ferritic-martensitic steel and the metallurgy alloyed oxide dispersion strengthened steel. It was also found that the degradation of ductility at 400 °C was related to the dynamic strain ageing (DSA) effect. At last, ultra-sound test, flattening test and flaring test were carried out to evaluated the qualities of the final tubes.
Study of A-site disorder dependent structural properties and magnetic ordering in polycrystalline perovskite Sm0.5Ca0.5−xSrxMnO3
Authors: Bally M A A , Khan F A , Islam M A 
Published: July 2019

Abstract
This paper reports the studies on the effect of A-site substitution by strontium on the structural properties and magnetic ordering in polycrystalline perovskite Sm0.5Ca0.5−xSrxMnO3 (x = 0.1, 0.2 and 0.3). The investigated samples are prepared by conventional solid-state reaction technique. XRD analysis at room temperature has confirmed orthorhombic structure of the sample with space group Pnma. The dependence of structural parameter, Curie temperature and coercivity on Sr doping content has been thoroughly investigated. It is observed that substitution of Sr2+ for Ca2+ increases lattice parameter, tolerance factor and the Curie temperature. However, the coercivity (Hc) decreases with increasing Sr content while the charge ordering process is weakened with increasing Sr content. Field cooled (FC) and zero-field cooled (ZFC) dc magnetizations measurements at low field and low temperature indicate that there is a spin-glass (SG) like state occurred. Temperature dependent ac susceptibility at different frequency indicates a spin-glass-like transition of the sample.
Contrasting signatures of distinct human water uses in regulated flow regimes
Authors: Ferrazzi Marta , Botter Gianluca 
Published: July 2019

Abstract
In the last century, about 50,000 dams have been constructed all around the world, and regulated rivers are now pervasive throughout the Earth's landscapes. Damming has produced global-scale alterations of the hydrologic cycle, inducing severe consequences on the ecological and morphological equilibrium of streams. However, a recognizable link between specific uses of reservoirs and their impact on flow regimes has not been disclosed yet. Here, extensive hydrological data are integrated with a physically-based model to investigate hydrological alterations downstream of 47 isolated dams in the Central Eastern U.S. Our results reveal a strong connection between the anthropogenic use and the hydrological impact of dams. Flood control reduces the temporal variability and spatial heterogeneity of river flows proportionally to the specific capacity allocated to mitigate floods (i.e., capacity scaled to the average inflow). Conversely, water supply increases the relative variability and regional heterogeneity of streamflows proportionally to the relative amount of withdrawn inflow. Accordingly, downstream of our multipurpose reservoirs the impact of regulation on streamflow variability is smoothed due to the compensating effect of flood control and water supply. Nevertheless, reservoirs with high storage capacity and overlapping uses produce regulated hydrographs that increase their unpredictability for larger aggregation periods and, thus, resemble an autocorrelated red noise. These findings suggest that the increase of freshwater demand could redefine the cumulative effects of dams at regional scale, reshaping the trajectories of eco-morphological alteration of dammed rivers.
A Feynman–Kac approach to a paper of Chung and Feller on fluctuations in the coin-tossing game
Authors: Grünbaum F. 
Published: July 2019

A classical result of K. L. Chung and W. Feller deals with the partial sums

S
k

S_k

arising in a fair coin-tossing game. If

N
n

N_n

is the number of “positive” terms among

S
1

S_1

,

S
2

S_2

, …,

S
n

S_n

then the quantity

P
(

N

2
n

=
2
r
)

P(N_{2n} = 2r)

takes an elegant form. We lift the restriction on an even number of tosses and give a simple expression for

P
(

N

2
n
+
1

=
r
)

P(N_{2n+1} = r)

,

r
=
0

r = 0

,

1
1

,

2
2

, …,

2
n
+
1

2n+1

. We get to this ansatz by adaptating the Feynman–Kac methodology.
A clinical predictive model of renal injury in children with isolated antenatal hydronephrosis
Authors: Costa Fernanda P , Simões e Silva Ana C , Mak Robert H , Ix Joachim H , Vasconcelos Mariana A , Dias Cristiane S , Fonseca Carolina C , Oliveira Maria Christina L , Oliveira Eduardo A 
Published: July 2019

Abstract

Background
Antenatal hydronephrosis (ANH) affects ∼1–5% of pregnancies. The aim of this study was to develop a clinical prediction model of renal injury in a large cohort of infants with isolated ANH.

Methods
This is a longitudinal cohort study of 447 infants with ANH admitted since birth between 1989 and 2015 at a tertiary care center. The primary endpoint was time until the occurrence of a composite event of renal injury, which includes proteinuria, hypertension and chronic kidney disease (CKD). A predictive model was developed using a Cox proportional hazards model and evaluated by C-statistics.

Results
Renal pelvic dilatation (RPD) was classified into two groups [Grades 1–2 (n = 255) versus Grades 3–4 (n = 192)]. The median follow-up time was 6.4 years (interquartile range 2.8–12.5). Thirteen patients (2.9%) developed proteinuria, 6 (1.3%) hypertension and 14 (3.1%) CKD Stage 2. All events occurred in patients with RPD Grades 3–4. After adjustment, three covariables remained as predictors of the composite event: creatinine {hazard ratio [HR] 1.27, [95% confidence interval (CI) 1.05–1.56]}, renal parenchyma thickness at birth [HR 0.78(95% CI 0.625–0.991)] and recurrent urinary tract infections [HR 4.52 (95% CI 1.49–13.6)]. The probability of renal injury at 15 years of age was estimated as 0, 15 and 24% for patients assigned to the low-risk, medium-risk and high-risk groups, respectively (P &lt; 0.001).

Conclusion
Our findings indicate an uneventful clinical course for patients with Society for Fetal Urology (SFU) Grades 1–2 ANH. Conversely, for infants with SFU Grades 3–4 ANH, our prediction model enabled the identification of a subgroup of patients with increased risk of renal injury over time.