bluuebunny/crossref_metadata_2025 huggingface dataset:
Weather division‐based wind power forecasting model with feature selection
Authors: Qin Liang , Xiong Yindi , Liu Kaipei
Published: October 2019

The sample division‐based hybrid model is an enforceable approach to improve wind power forecasting accuracy in the short term. These models up to now prefer to keep the input same for all the individual schemes, which weaken the effort of division and restrict the further improvement of the accuracy. To this end, a weather division‐based wind power forecasting model with ensemble feature selection is proposed for refinement. The methodology comprises three stages: the division of wind power associated weather based on hierarchical clustering with the DTW distance metric, ensemble feature selection framework considering both predictive accuracy and stability, and wind power prediction based on machine learning algorithms for each weather type. As a test case, the proposed methodology is applied to the data of a wind farm group in Northwest China. With respect to the single models, the proposed method has improved the predictive accuracy by up to 30% at three error metrics, and the weather associated features are discussed.
Investigation of hydro‐governor parameters’ impact on ULFO
Authors: Jiang Qin , Li Baohong , Liu Tianqi
Published: October 2019

The ultra‐low‐frequency oscillation (ULFO) problem reappears in China recently, but its specific mechanism is not so clear. Although the hydraulic governor system is confirmed as the source of ULFO, the parameters’ impacts are not studied thoroughly. This study investigates the specific impact of the important parameter of governing system in different control modes based on the complex coefficient torque method including the parameters of regulator, actuator and the turbine in hydraulic governing system. The damping torques under different situations are illustrated when parameters and control modes change, and the ultra‐low‐frequency‐band dynamic characteristics of hydro generator are obtained. The simulations match well with the theoretical analysis, and the suggestions are made for parameter settings at last. The findings of this study are significant for ultra‐LFO elimination. Moreover, it can also help designers and operator identify the most influential parameters and develop effective control strategies.
Direct position determination and effective extraction of multiple transmitters
Authors: Chen Fangxiang , Zhou Tao , Sun Bin , Kong Lingjiang , Xiao Xinjian
Published: October 2019

In this study, the problems, which simultaneously extract and direct positioning of multiple transmitters, are considered. Without assuming a priori knowledge of the source number, the multiple signal classification (MUSIC) algorithm is applied after using the Akaike information theoretic criteria for model order determination, while the minimum variance distortionless response (MVDR) algorithm can be directly used to localise multiple sources that transmit unknown signals. Two methods, which combine MUSIC and MVDR with the image expansion (IE) algorithm, are proposed. The IE algorithm used in actual scenarios is based on the constant‐false‐alarm rate. Simulation results show that the proposed algorithms can effectively extract and accurately localise multiple transmitters.
SAR village targets extraction and heterogonous image registration
Authors: Li Qixue , Yin Kuiying
Published: October 2019

Since the signal‐to‐noise ratio of synthetic aperture radar (SAR) image is low, it is difficult to match SAR images with optical images accurately. A new method of SAR village targets extraction and heterogonous image registration is proposed in this study. Median filter and partial differential method are first used to remove speckle noise; next, the grey level co‐occurrence matrix algorithm is used by calculating four typical texture parameters of it to obtain preliminary regions of interest (ROI) of village targets and false alarm areas are cleared by proposed local‐grey‐level congruency method; then proper numbers of Fourier descriptors and morphological algorithms are used to describe ROI again to maintain the boundary features of targets better. Finally, HU moment invariants, which is combined with Euclidean distance and cosine similarity measurements, are utilised to achieve heterogonous image registration. The experimental results show that the root‐mean‐square‐error of the registration image is small and the heterogonous registration image is accurate, demonstrating that the authors’ method is stable and accurate, and owns certain research value and broad application prospect as well.
24-h-Blutdruckmessung bei HIV+-Patienten in Malawi: Ergebnisse einer Pilotstudie
Authors: Kasper Philipp , Phiri Sam , Chaweza Tom , Tweya Hannock , Mwagomba Beatrice , Neuhann Florian , Steffen Hans-Michael
Published: October 2019

Kardiovaskuläre Erkrankungen wie die arterielle Hypertonie gewinnen in Subsahara-Afrika neben infektiösen Erkrankungen zunehmend an Bedeutung. Die ambulante 24-h-Blutdruck-Langzeitmessung (24-h-ABDM) ist das Verfahren der Wahl zur Diagnosesicherung einer Hypertonie. Als Teil der LighTen Cohort Study hat diese Untersuchung das Ziel, die Machbarkeit einer 24-h-ABDM und ihre Bedeutung für Diagnose und Management des Hochdrucks bei HIV+-Patienten unter antiretroviraler Therapie zu bestimmen. Analysiert wurden die Praxis-Blutdruckwerte und 24-h-ABDM-Daten 34 erwachsener HIV+-Patienten sowie die Daten von 20 HIV--Kontrollpersonen. Bei einem Viertel der antihypertensiv behandelten Patienten und Kontrollen war der Blutdruck kontrolliert. Die 24-h-ABDM-Untersuchung erwies sich unter den Bedingungen eines Entwicklungslandes als machbar und identifizierte Patienten mit prognostisch ungünstigem nächtlichem Blutdruckverhalten sowie Patienten mit Weißkittelhypertonie und wahrscheinlich guter Prognose.
Neue Werkzeuge zur Selbst- und
Praxisausrichtung
Authors: Sperlich Franz
Published: October 2019

Etwa 11000 Kollegen der ambulanten Medizin führten 2018 in Deutschland die
Zusatzbezeichnung „Naturheilverfahren“. Das sind gut 7 % aller ambulant tätigen
Ärzte. Viele von ihnen bieten jedoch keine oder nur wenige Leistungen aus dem
Spektrum ihrer Zusatzbezeichnung in ihrer Praxis an und rechnen diese selten
oder gar nicht ab.

Die Gründe liegen dabei neben sachlich rationalen Umständen auch in vorbewussten,
emotionalen Mechanismen. Dieser Artikel untersucht diese Hintergründe und bietet
Strategien für die tägliche Praxis.
Efficient Catalysts of Acyclic Guanidinium Iodide for the Synthesis of Cyclic Carbonates from Carbon Dioxide and Epoxides under Mild Conditions
Authors: Aoyagi Naoto , Furusho Yoshio , Endo Takeshi
Published: October 2019

We have studied the synthesis of five-membered cyclic carbonates through the cycloaddition of CO2 to epoxides by using acyclic guanidinium salts. We have found that the cycloaddition reactions proceed smoothly at ordinary temperatures and pressures and result in good yields when acyclic guanidinium iodides are employed as catalysts. Both cation moiety and anion moiety of the guanidinium salts play important roles in their catalytic activity. It is essential to have active hydrogens on the cation moiety as well as an iodide ion as the anion moiety so as to achieve good catalytic activity. Guanidinium iodides with three or more active hydrogens give cyclic carbonates in high yields in polar solvents such as 1-methylpyrrolidin-2-one, whereas the guanidinium iodides with one or two active hydrogens show good catalytic activity in less polar solvents such as 2-methyltetrahydrofuran.
The Evolution of Breast Implants
Authors: Kaoutzanis Christodoulos , Winocour Julian , Unger Jacob , Gabriel Allen , Maxwell G. Patrick
Published: October 2019

Breast augmentation remains one of the most commonly performed aesthetic procedures in the United States and worldwide. Throughout the last few decades, the implants used for this procedure have undergone significant advancements, which has allowed surgeons to provide safer and more aesthetically pleasing outcomes. This article discusses the history of breast implants since their invention in 1962. Particular emphasis is given to the evolution of silicone implants with its many challenges, which has resulted in the development of the currently used fourth- and fifth-generation devices. Knowledge of these advances will allow physicians to more critically evaluate their results, and also will encourage them to provide more up-to-date scientific data on these devices to further improve the clinical outcomes of their patients.
Update in Direct-to-Implant Breast Reconstruction
Authors: Perdanasari Aurelia Trisliana , Abu-Ghname Amjed , Raj Sarth , Winocour Sebastian J. , Largo Rene D.
Published: October 2019

Implant-based reconstruction (IBR) remains the most commonly utilized breast reconstruction option for post-mastectomy patients. IBR can be approached as either a one-stage reconstruction or a two-stage reconstruction. Facilitated by improvements in surgical technology and advanced techniques, one-stage reconstruction, also known as direct-to-implant (DTI) reconstruction, involves the insertion of an implant at the time of mastectomy. The decision to pursue either a DTI or a two-stage reconstruction is based on several factors, including the patient's overall health, expected risk of postoperative complications, and associated costs to both the patient and hospital.
Quantum statistical properties of multiphoton hypergeometric coherent states and the discrete circle representation
Authors: Arjika S. , Calixto M. , Guerrero J.
Published: October 2019

We review the definition of hypergeometric coherent states, discussing some representative examples. Then, we study mathematical and statistical properties of hypergeometric Schrödinger cat states, defined as orthonormalized eigenstates of kth powers of nonlinear f-oscillator annihilation operators, with f of the hypergeometric type. These “k-hypercats” can be written as an equally weighted superposition of hypergeometric coherent states ∣zl⟩, l = 0, 1, …, k − 1, with zl = ze2πil/k a kth root of zk, and they interpolate between number and coherent states. This fact motivates a continuous circle representation for high k. We also extend our study to truncated hypergeometric functions (finite dimensional Hilbert spaces), and a discrete exact circle representation is provided. We also show how to generate k-hypercats by amplitude dispersion in a Kerr medium and analyze their generalized Husimi Q-function in the super- and sub-Poissonian cases at different fractions of the revival time.
Geodesic modes driven by untrapped resonances of NB energetic ions in tokamaks
Authors: Elfimov A. G. , Galvão R. M. O. , Gorelenkov N. N.
Published: October 2019

Geodesic modes are typically excited by a minor concentration of energetic ions, but unstable mode frequencies are substantially different from Geodesic Acoustic Modes (GAMs) and are named EGAM (Energetic particle GAM). The EGAM instability driven by Neutral Beam Injection (NBI) has been observed in DIII-D tokamak experiments. The problem of the geodesic mode instability is analytically studied using a full drift kinetic equation. To analyze the instability condition, an ionization NBI location is assumed to be on the high field side of tokamaks. A minority NBI ion distribution is modeled by an energetic ion tail in the untrapped-passing region that remains between a magnetic axis and the trapped NBI boundary. The EGAM instability condition is defined by the parallel NBI ion velocity v||≈(1.2−1.5)ωR0q0 that has to be above the effective EGAM phase velocity. In this case, the EGAM frequency is ≈50% below the standard stable GAM frequency, which is reduced by a small concentration of energetic NBI ions. Qualitative comparison of the developed geodesic mode theory with NBI heating experiments in the midregion of the tokamak plasma is discussed.
Study of switching phenomenon of weak magnetoelectric coupling in proper multiferroics using Landau theory
Authors: Alrub Ahmad Musleh
Published: October 2019

The Landau-Khalatnikov theory is used to study the switching phenomenon of weak magnetoelectric (ME) coupling in proper multiferroics. We investigate two different types of ME multiferroics: one with a bare magnetic transition temperature below the Curie temperature of ferroelectricity, and the other type is when the Curie temperature of ferroelectricity is below the bare magnetic transition temperature. We adopt a fourth-order potential for ferromagnetics and sixth-order potential of ferroelectrics in the Landau free energy based on experimental reports. We found that the electric field alone cannot switch the magnetization and that the magnetic field alone cannot switch the polarization in weak ME multiferroics. Some interesting results were found: at a normalized transition temperature, the magnetization drops abruptly. Two switching current peaks appear when magnetic and electric fields are simultaneously applied to the system.
Flutter-enhanced mixing in small-scale mixers
Authors: Rips Aaron , Mittal Rajat
Published: October 2019

Enhancement of mixing via flow-induced flutter of a flexible membrane is explored for small-scale mixers that operate at low Reynolds numbers. Flow induced flutter and mixing in a duct flow is simulated using fully coupled fluid-structure-scalar interaction simulations including two-way coupling between the fluid and structure. The fluid and structural dynamics are analyzed and their impact on the mixing performance is characterized. The sensitivity of the system to the Reynolds number and to the membrane’s size and shape are also examined. It is shown that these flutter mixers create complex vortex structures even at low Reynolds numbers and these vortex structures lead to complex stretching and folding of fluid interfaces resulting in rapid mixing.
Experimental evidence of ferroelectricity in calcium doped hafnium oxide thin films
Authors: Yao Yifan , Zhou Dayu , Li Shuaidong , Wang Jingjing , Sun Nana , Liu Feng , Zhao Xiuming
Published: October 2019

Ferroelectricity in calcium doped hafnium oxide (Ca:HfO2) thin films has been experimentally proved for the first time in this work. All films prepared by chemical solution deposition exhibited smooth and crack-free surfaces, which were observed using an atomic force microscope. After 104 field cycling, a maximum remanent polarization of 10.5 μC/cm2 was achieved in HfO2 films with 4.8 mol. % Ca content. Meanwhile, the breakdown of the film occurred after 7 × 106 electric cycles. A phase transition from the monoclinic phase to cubic/orthorhombic phases was observed with increasing Ca concentration. We suggest the change in oxygen vacancy concentration as the origin of phase evolution, which was confirmed by X-ray photoelectron spectroscopy analysis. These results open a new pathway for realizing ferroelectricity in HfO2-based films.
Rotating magnetocaloric effect in the ferromagnetic Weyl semi-metal Co3Sn2S2
Authors: Ali Anzar , Shama  , Singh Yogesh
Published: October 2019

The rotating magnetocaloric effect is of recent interest in the magnetic refrigeration technique, in which the cooling effect is attained by rotating the anisotropic magnetocaloric material from one orientation to the other in a fixed magnetic field. In this work, we report the anisotropic magnetocaloric properties of single crystals of the ferromagnetic Weyl semimetal Co3Sn2S2 for magnetic field H along the c-axis (H∥c) and magnetic field H along the ab-plane (H∥ab). We observed a significant (factor of 2) difference between the magnetocaloric effect measured in both orientations. The rotating magnetocaloric effect has been extracted by taking the difference of the magnetic entropy change (ΔSM) for fields applied in the two crystallographic orientations. Scaling analysis of ΔSM, the rescaled ΔSM(T,H) vs reduced temperature θ curves collapse onto a single universal curve, indicates that the transition from paramagnetic to ferromagnetic phases at 174 K is a second-order magnetic phase transition. Furthermore, using the power law dependence of ΔSM and relative cooling power RCP, the critical exponents β and γ are calculated, which are consistent with the recent critical behavior study on polycrystalline samples of this compound [Yan et al., Solid State Commun. 281, 57 (2018)].
Biological embedding of experience: A primer on epigenetics
Authors: Aristizabal Maria J. , Anreiter Ina , Halldorsdottir Thorhildur , Odgers Candice L. , McDade Thomas W. , Goldenberg Anna , Mostafavi Sara , Kobor Michael S. , Binder Elisabeth B. , Sokolowski Marla B. , O’Donnell Kieran J.
Published: October 2019

Biological embedding occurs when life experience alters biological processes to affect later life health and well-being. Although extensive correlative data exist supporting the notion that epigenetic mechanisms such as DNA methylation underlie biological embedding, causal data are lacking. We describe specific epigenetic mechanisms and their potential roles in the biological embedding of experience. We also consider the nuanced relationships between the genome, the epigenome, and gene expression. Our ability to connect biological embedding to the epigenetic landscape in its complexity is challenging and complicated by the influence of multiple factors. These include cell type, age, the timing of experience, sex, and DNA sequence. Recent advances in molecular profiling and epigenome editing, combined with the use of comparative animal and human longitudinal studies, should enable this field to transition from correlative to causal analyses.
Insurance Coverage and Utilization of Nicotine Patches after Receipt of a Prescription
Authors: Struble Roger D. , Knox Blaine A. , Richter Kimber P. , Ellerbeck Edward F.
Published: October 2019

Introduction: Changes in reimbursement policy have made nicotine replacement therapy (NRT) much more available, but little is known about what happens to patients after they receive their prescription. This study describes rates of successfully filling prescriptions for NRT and its association with type of insurance.

Methods: We identified 224 patients who received a prescription for NRT during an outpatient visit to an academic medical center between January 1st 2016 and February 10th 2017. We conducted telephone surveys to assess whether they tried to fill their prescriptions and if so, determine the effects of insurance type on the ability to successfully fill the prescription.

Results: Of 117 patients completing the survey, 23 (19.6%) did not attempt to fill and 6 (5.1%) had no insurance. Of the 90 patients with insurance who attempted to fill their prescription, 67 (74.4%) were successful and 23 (25.6%) were unsuccessful in obtaining medications. Success varied by insurance with successful fills ranging from 34 (87.2%) of those with commercial insurance, 24 (70.6%) with Medicaid, to 9 (52.9%) with Medicare. Of 37 participants living with another smoker, 31 (83.7%) wanted an NRT prescription specifically for their partner; several volunteered that they had shared patches with their partner.

Conclusions: Despite widespread coverage for NRT, many patients may still encounter difficulties in getting their prescriptions filled. Some tobacco users might also benefit from getting NRT prescriptions for their partners that smoke.
Cyber and Physical Systems Topology for the Industry 4.0 Smart Factory
Authors: Zakoldaev D A , Gurjanov A V , Shukalov A V , Zharinov I O , Zharinov O O
Published: October 2019

To project digital companies of the Industry 4.0 is a production task which requires to implement in the industrial infrastructure the elements of multi-agent environment. Multi-agent environment is components (cyber and physical systems) of two elements: the automatic one in physical level and program one (model) in the virtual level. Physical element is a digital system of automatic control. The program one is a code fragment to describe the functionality of cyber and physical system with a mathematical model. There is a scheme of physical and virtual cyber and physical system components interaction for digital automatic production of the Industry 4.0. The properties of the Industry 4.0 production company (a smart factory) depends on the interaction scheme of the digital company infrastructure. Cyber and physical systems interaction scheme is generated in a smart factory cloud. There are some options of cyber and physical systems topology which are good for the Industry 4.0 production infrastructure.
Software for Reduction of Energy Capacity of Cargo Transportation by Road Transport
Authors: Chainikov D , Relyan N
Published: October 2019

The article deals with the problem of improving the efficiency of vehicle use by reducing the consumption of fuel and energy resources of trucks during the carriage of goods. A solution is proposed, based on the development of a special software product that allows taking into account the vehicles` adaptability of different weight categories to the mass of the transported cargo. It is offered the software to calculate the objective fuel consumption norms on cargo transportation.
Optimization of the Work of Road Transport With the Help of Navigation Equipment on the Example of the Branch of “Mostostroy-11”, JSC, TF “Mostootryad-36”
Authors: Chikishev E , Fisher A , Alontsev V
Published: October 2019

The article deals with the control of fuel consumption in automotive engineering with the help of navigation equipment. As a result of the experiment on trucks VOLVO FMX 6x4 and Mercedes-Benz Actros 3346S it was found out that the actual fuel consumption is 2-16% lower than the standard. Thus, using the complex of navigation equipment in transport of the company allows not only to significantly reduce fuel costs, but also to optimize control over road flight performance, and also the regime of work and rest of the drivers. As a result of the economic calculation, it was established that the equipment costs are paid off in less than 1 month.
Application of Information Technologies for Automation of Railway and Cargo Owner Interaction
Authors: Strelko O H , Kyrychenko H I , Berdnychenko Yu A , Sorochynska O L , Ya Pylypchuk O
Published: October 2019

The results of formalization of the components in the process of calculation of the time of delay in the movement of wagons are presented. The formalization was carried out in accordance with the principles of system analysis with the purpose of next modeling and automation of the technological process of cargo transportation during the delay by the fault of a cargo owner. It was proposed to apply a methodology of the conceptual-logical mapping and project modeling by constructing models of the process of interaction between modes of transport.
Technology of Poultry Manure Utilization as a Renewable Energy Source
Authors: Zapevalov M V , Sergeyev N S , Redreev G V , Chetyrkin Yu B , Zapevalov M S
Published: October 2019

the aim of the research is to improve the efficiency of technologies for recycling poultry manure. The achievement of this goal involves the development of technological regulations for the processing of manure, research and development work on the creation of technological lines for the production of fuel briquettes and organic fertilizer, development of the technological process of processing of manure and its introduction into production. The technological scheme of the manure processing complex has been developed and substantiated, which includes: a receiving and storage station for receiving manure coming from poultry houses, and its dosed supply for further processing; a container for collecting liquid formed during the drying of manure; a technological line for the production of fuel briquettes and a line for the production of organic-mineral fertilizer. The capacity of the complex with a litter moisture content of 65-70% coming for processing is about 5 t/h. It is proved that the annual processing of manure at the round-the-clock operation of the complex will be about 43.0 thousand tons. At the same time, the production of organic-mineral fertilizers with a nutrient content of up to 32% will be about 1.5 thousand tons, and the fuel briquettes with a calorific value of up to 18.0 mJ/kg will be about 8.0 thousand tons. The estimated annual economic effect from the processing of litter on this complex is about 20.0 million rubles, the payback period of the complex is up to 1.5 years. This technology of poultry manure utilization allows to process all poultry manure removed from poultry houses in the stream, as a result of which there is no need for a litter storage. The production of organic fertilizer can solve the problem of increasing soil fertility. When the price of one ton of this fertilizer is 5thousand rubles and the contents until 320 kg of active ingredient, its use in the cultivation of crops would be economically profitable. As a result of the utilization of manure through this technology, the company receives energy, agro-chemical, economic, environmental and social effects.
Investigation of Moving Flat Hexagonal Disk Attachment
Authors: Soyunov A S , Prokopov S P , Zaripova N A , Yu Golovin A , Abdylmanova R K
Published: October 2019

The article “Investigation of moving flat hexagonal disk attachment” reviewed the operation of flat hexagonal disk attachment used on discer for tilling the soil, exposed to wind erosion. The research of flat disk attachment is carried out in FSBEI HE OSAU named by P.A. Stolypin. The main laws are set and described and the quality evaluation criteria of cutting up weed vegetation δ in dependence upon angle of attack, cultivation depth and the distance between discs on the shaft are also represented. Using received dependences in practice it is not difficult to define the quality of weed vegetation cutting up and when required to make regulations of disc implement for quality weed vegetation cutting up. Arrangement is done by setting of basic parameters of stubble cleaner: angle of attack, cultivation depth and the distance between discs on the axle.
Improving the Efficiency of the Power Take-Off Drive
Authors: Redreev G V , Sorokin A N , Luchinovich A A , Chervenchuk V D , Popov S D
Published: October 2019

power tools that are used in various industries have power take-off drives for aggregating various machines and mechanisms. In the agro-industrial complex, one of the most common power tools are tractors manufactured by the Minsk Tractor Plant. The drive of power take-off in these tractors is carried out at the expense of the planetary mechanism. The wheel and the solar gear of the planetary mechanism are connected to the drums, alternately stopping the drums is carried out on and off the drive. The brake tape of the firing drum connected to the sun gear is most susceptible to wear, as the drum is loaded with a torque of at least one third of the torque to the drive of the aggregated machine.Due to the design features of the existing control mechanism, the turn–on time is 1.5-2 times less than recommended for devices of this kind. As a result, there is an intense wear of the friction lining of the inclusion drum tape.Regulation of the control mechanism of adjusting screws is carried out untimely, as a result, the durability of the tapes is very low.To improve the durability and efficiency of the power take-off drive, a drive-on design is proposed by electromagnets.Applying force to the tape by electromagnets at four points, instead of one in the previous design, will improve the braking efficiency of the inclusion drum.It is possible to include electromagnets not at the same time, but with some time offset, with a gradual pressing of the tape, starting with the portion of the tape closest to the axis of its suspension. This improves the fit of the tape to the drum inclusion.In the transition from a mechanical drive to an electrical device, the control operation is eliminated, which reduces maintenance time, significantly increases the life of the brake belt and increases the efficiency of the power take-off drive.
Practice of Use of Professional Standard While Developing Program of Professional Retraining on Ecological Safety
Authors: Belyakin S K , Smirnova N K , Krivobokova V A
Published: October 2019

the article considers the practice of the use of the professional standard “Specialist on ecological safety (in industry)” while realizing professional retraining of specialists and organizations on ecological safety. On the basis of this standard the program of professional retraining is developed. The curriculum and the fund of rating means are given. The material may be interesting for the people, providing professional training, retraining of specialists on ecological safety.
Electron Beam Welding, Heat Treatment and Hardening of Beta-Titanium
Authors: Akhonin S V , Yu Belous V , Selin R V
Published: October 2019

Analysis of the electron beam welding and different modes of heat treatment such as local heat treatment, furnace annealing, slow speed cooling, water quenching and aging impact on the structure and mechanical properties of pseudo-β titanium alloy VT19 welded joints. Microstructure of obtained welded joints in the states after welding and heat treatment were investigated. Using welded joints microsections approximate amount of β-phase has been obtained. Mechanical properties of the welded joints were analyzed and dependency of tensile strength and amount of β-phase were build.
Structure and Properties of Titanium Modified Silicon-carbide at EBM
Authors: Akhonin S V , Berezos V O , Yu Severyn A , Gadzyra M P , Tymoschenko Y G , Davydchuk N K
Published: October 2019

Aim of the work is development of technology of production of ingots from sparsely-alloyed titanium alloys using electron beam melting method. To get high mechanical characteristics in titanium alloy, the modifiers of high-dispersion carbide compounds were used as foundry alloys. They in process of electron beam melting provide strengthened with nanoparticles structure of a material suitable for further deformation processing. In order to develop nanosized alloying modifiers for high-strength titanium alloys there were synthesized nanosized powder in form of carbon solution in silicon-carbide. A technology was developed for production of ingots from sparsely-alloyed titanium alloys using electron beam melting method. The works on production of 200 mm diam. titanium ingots with addition of 0.5% and 1.5% of the alloying modifiers based synthesized nanosized silicon-carbide were carried out with the help of determined modes. Hot deformation processing of ingots was performed, 15 mm thick deformed sheets were produced and then subjected to further heat treatment. Structure and properties of obtained material were investigated.
Development of the Specialized Contact Highly Productive Scanning Sensor
Authors: Lavrinovich A V , Bolotov M A , Ruzanov N V , Kudashov E V
Published: October 2019

The article is devoted to the development of specialized high-contact scanning probe, intended to equip the technology of measuring and processing equipment. Conducted a literature review allowed to identify the main types of design solutions for contact measurement sensors on the basis of which was formed by generalizing the decision tree by type layouts. The first part of the selection of parameters is performed using a sensor structure in a simulation environment ANSYS. After selecting the design performed sensor fabrication including the use of additive technology for the production of the main structural elements of the sensor. Experimental studies to identify the calibration curves and the homogeneity of the developed sensitivity of the sensor fields.
A Trend Forecast of Import and Export Trade Total Volume based on LSTM
Authors: Qu Qinglin , Li Zhao , Tang Juanjuan , Wu Shiwei , Wang Ruishuang
Published: October 2019

The monthly import and export data are usually with the challenging characteristics including large scale, nonlinear and hard to fit, leading to their development trends can be hardly predicted. To tackle this problem, we propose to leverage the LSTM-based recurrent neural network to forecast the development trend in this paper. We demonstrate the effectiveness of our approach based on the monthly import and export data of Shandong Province from January 2001 to June 2018. In particular, we achieve the MSE score of 124.39, which outperforms the traditional time series model less than 12.2%.
Research on the Prediction of Popular Opinion Trend of Web News based on BP neural Network and LSTM
Authors: Wu Jiale , Zhang Lulin , Yin Fulian
Published: October 2019

Current prediction methods on public opinion trend of network news are often carried out according to human experience or traditional time series prediction, but they sometimes lack scientific principle and immediacy. This paper researches on the prediction of public opinion trend of network news based on deep learning. Firstly, we use the BP neural network and LSTM to predict public sentiment trend, then combine word2vec with LSTM to classify the text sentiment and finally use doc2vec algorithm and k-means to cluster the text. Experiment result shows that the mean square error with good performance, which reveals the beneficial effect of our prediction method.
Intelligent Attitude Control of Aircraft Based on LSTM
Authors: Li Bo , Gao Peixin , Li Xitong , Chen Daqing
Published: October 2019

The flight attitude control is the core part of the maneuvering process in air combats. Traditional flight attitude control methods have high computational complexity, low flexibility and poor ability to learn sequential feature. This paper proposes a flight attitude control model based on long short term memory network, which utilizes its special gates structure to memorize historical information, and acquire the variation law of the attitude control variable from the time sequential data including the battlefield situation and flight parameters automatically. Moreover, the basic framework and training methods of the model are also introduced, and the influence caused by various LSTM network parameters is deeply discussed. The experiment results show that the proposed model has better prediction accuracy and convergence performance than the traditional recurrent neural network.
Modelling Soft Tissue Deformation Based on Spatial Kriging
Authors: Zhao Mengxiao , Gao Dedong , Zhao Shijian , Wang Linze , Li Lirong
Published: October 2019

People can only obtain incomplete information when needle get into soft tissue. The actual conditions limit monitoring results. The kriging, as a statistical interpolation method, can effectively transform discrete point information into facial continuous information. On the basis of displacement data of pork soft tissue, the correlation parameter setting and optimal semi-variance model selection of kriging were studied to determine the kriging interpolation results. The results show that the accuracy of the kriging model can reach millimetre level, the maximum error is about 0.8mm, the average standard error is 0.35mm, and the calculation is simple. It can help doctors provide references when the soft tissue cannot be directly observed, and predict the deformation within the soft tissue.
A Hybrid Chaotic Oscillatory Neural Network (HCONN) Based Financial Time Series Prediction System
Authors: Qiu Yifu , Lee Raymond S. T.
Published: October 2019

Financial time series prediction is one of the most complex and challenging problems in both AI and finance engineering. In our research, we proposed a Hybrid Chaotic Oscillatory Neural Network (HCONN) model by replacing the traditional sigmoid-based activation function with chaotic oscillatory activation function, which provides significant performance in the global minimum convergence through the application of Adaptive Moment Estimation optimizer. In addition, by integrating the latest R&D on Quantum Finance Theory (QFT) and its Quantum Price Level (QPL) as the deep features’ extraction, we add the daily 8 nearest QPLs together with the time series price variables as the input of our HCONN. In terms of system implementation, 12 different forex products including the AUDCHF, AUDUSD, CADCHF, EURAUD, EURCHF, EURGBP, EURUSD, GBPAUD, GBPCAD, GBPUSD, USDCAD and USDCHF are used. System performance results reveal that HCONN outperforms other financial models including: Feedforward Backpropagation Neural Network (FFBPN) and Chaotic Oscillatory Neural Network (CONN) in terms of training performance and forecast accuracy.
A Deep Fully Convolutional Network for Distal Radius and Ulna Semantic Segmentation
Authors: Wang Shuqiang , Liang Wei , Wang Hongfei , Chen Zhuo , Lu Yiqian
Published: October 2019

Semantic segmentation is an essential step to do further image analysis and scene understanding tasks. In medical imaging analysis applications, it is even more challenging to do automatic segmentation due to tissues’ complicated boundaries. In this paper, a fully convolutional network (FCN) based model is constructed to segment distal radius and ulna (DRU) areas from hand X-ray images. We evaluated the proposed network on a clinical DRU dataset with different network configurations. The proposed network can achieve 98% accuracy and 96% mean Intersection over Union (IoU).
Short-term Time Series Data Prediction of Power Consumption Based on Deep Neural Network
Authors: Xu Kang , Hou Ruichun , Ding Xiangqian , Tao Ye , Xu Zhifang
Published: October 2019

Under the background of the rapid development of Internet technology and the popularity of smart grids, the analysis and prediction of short-term time series data of users’ power consumption has important guiding significance for grid planning, management decision of economic sector and optimization and allocation of power resources. Considering that the traditional statistical-based time series analysis method is weak in generality and can not handle the complex linear problem in prediction, the long-term dependence of the ordinary cyclic neural network model is insufficient, and the time series data has multidimensional problems, a deep neural network is proposed. The PCA-LSTM model is used for time series data prediction. The model firstly uses the PCA (principal component analysis) method to reduce the dimensionality of the electricity consumption time series data, optimizes the number of input variables, and inputs the data into the long- and short-term memory network LSTM for training prediction. The experimental results show that the LSTM network prediction based on PCA improves the accuracy of short-term time series data prediction, and also improves the convergence speed of LSTM network. It proves that the method has better prediction performance and versatility.
A Hybrid Meta-Heuristic Solution to Operation Optimization of Hot Oil Pipeline
Authors: Li Bo , He Miao , Kang Yang , Shi Haoyu , Zhao Jiali , Liu Yan
Published: October 2019

In the process of pipeline transportation, the temperature and pressure of waxy and high viscosity crude oil are decreasing. In order to complete the pipeline transportation task, stations are usually set at intervals to overcome the pressure loss caused by friction and impact in the flow and the temperature loss caused by the radial temperature difference. The main equipment of the station is pumps and heaters. The operating fee of pumps and heaters is the core costs of hot oil pipelines, so it is necessary to reasonably optimize the pump and heater operating schemes. Because the hydraulic and thermodynamic of the hot oil pipeline are coupled with each other, and there are a lot of nonlinear constraints and integer variables, this optimization problem is a kind of mixed integer nonlinear programming, which is difficult to solve by using the traditional optimization method. In this paper, a hybrid meta-heuristic algorithm based on particle swarm and pattern search is proposed, which can deal with the problem effectively. The operational cost of the optimized scheme is much lower than that of the actual operating scheme. So this method can provide guidance for the cost reduction and efficiency improvement of the hot oil pipeline.
On-line Data Analysis and Optimization of Crankshaft Dynamic Balance
Authors: Zhou Chuanhong , Ding Lei , Lin Lianghuang
Published: October 2019

The crankshaft is a high-speed rotating component that is widely used in many fields. Dynamic balance of the crankshaft is an important process stage that affects the quality of the crankshaft. In order to optimize the quality of crankshaft dynamic balance machining, this paper illustrates the importance of the initial unbalance of crankshaft to the dynamic balance machining of crankshaft. For the initial imbalance distribution of crankshaft, the improved mean method, gradient descent method and mean shift algorithm are used to calculate the machining center. The position of the hole realizes the crankshaft imbalance correction with different effects and reduces the processing strength of the crankshaft dynamic balance phase. The study is applicable to the machining of crankshafts in geometric centering processes in batches.
Empirical Research on Connotation and Elements of Small and Micro Entrepreneurial Ability of Students in Vocational Colleges
Authors: Hua Hefeng , Bao Yanli
Published: October 2019

Higher vocational college students’ entrepreneurial ability is based on the characteristics of higher vocational students and that of vocational colleges. It has similarities in entrepreneurial ability, but also has their own characteristics. Different from emphasis on scientific and technological entrepreneurship, higher vocational college students focus on the fields such as service and sales, and the small and micro entrepreneurial ability of higher vocational students emphasizes the use of skills and opportunity development. This paper makes an empirical study on the small and micro entrepreneurial ability of higher vocational students, and finds that their entrepreneurial ability is composed of skills practice ability, opportunity development ability, entrepreneurial operation ability and failure handling ability. The small and micro entrepreneurship of higher vocational students is an important part of college students’ entrepreneurship. The development of their ability will improve the employment competitiveness of higher vocational students and the success rate of entrepreneurship.
Crawling Chinese-Myanmar Parallel Corpus: Automatic Collection, Screening and Cleaning Corpus
Authors: Xiong Kai , Yuan Rui , He Wenxue , Jing Yanmei , Wang Yansheng , He Qiqi , Li Huafu
Published: October 2019

The collection of Chinese-Myanmar Parallel Corpus (CMPC) is the key step in the natural language processing (NLP) and training Machine Translation Engine (MTE) of Southeast Asia minority languages. As the scarcity of CMPC resources that efficient corpus collection methods are worth studying extremely. Traditional corpus collection methods include manual collection, text recognition of books and Internet crawlers, etc. Among them, the most efficient method to collect corpus is internet crawler preached by many. Traditional Internet crawler algorithm is interfere easily by a lot of spamming and advertising that lead to the time-consuming and low-precision. We propose a web crawler mechanism combines acquisition automatically technology bilingual website list, crawling corpus and cleaning corpus to obtain high quality parallel corpus. Firstly, using the hyperlinks to recursively access related corpus websites through building the website graph. Furthermore, the breadth-first, Backline and PageRank crawler framework used to build a corpus selection model based on crawling with threshold, matching link, ranking the heat of page, through this, the CMPC can be found accurately. Finally, the corpus cleaning model based on the HTML parsing to determine a set of standardized token sequences. By testing the Chinese-Myanmar reptile algorithm established in this paper, the experimental results show that our benchmarks this model exceeds previous published benchmarks. Up to now, we have obtained 1.1 million parallel corpus pairs of Chinese-Myanmar.
End to End Person Re-Identification Based on Attention Mechanism
Authors: Li Yang , Xu Huahu , Bian Minjie
Published: October 2019

This paper treats person re-identification (re-id) as a sequential model, guide person re-id with person detection, combines recurrent neural network (RNN) with attention mechanism, and proposed an end to end person re-id method for surveillance scenarios. The feature of target person is firstly extracted using ResNet, and then the feature is added to the long short-term memory (LSTM) network to guide the attention model for the region of interest in the surveillance image. Finally, combined with the information observed from the image multiple times, the most similar candidate person in the image is deduced, and the feature distance is calculated and ranked for person re-id. This paper strengthens the relationship between person detection and person re-id, and reduces the error between models. Because the number of candidate person matched with target person is reduced, this method can process person re-id task with less calculation and time. This paper also verified the effectiveness of the proposed method by experiments comparing a variety of person detection and re-id methods on several person re-id datasets.
Research on Facial Expression Recognition Based on Voting Model
Authors: Fei Yang , Jiao Guo
Published: October 2019

In order to improve the recognition rate of real-time classification of facial expressions, we proposed a method of facial expression recognition based on voting mechanism. Firstly, different neural network models are constructed to learn facial features. Then, the extracted features are fed into the classifier to obtain the posterior probability of various features. Finally, through the voting mechanism, the optimal decision-making level fusion is achieved to complete the facial expression classification. Experiments show that the average recognition rate of fer2013, CK+ and JAFFE database is 74.58%, 100% and 100% respectively. Compared with other recognition methods, experiental data show that this method has superior performance, improves the recognition rate and robustness of the algorithm, and ensures the universality of the algorithm.
Design of Attitude Controller of Two-Dimensional Correction Projectile Based on UAS-SMC Method
Authors: Zhong Yang , Wang Liangming , Fu Jian
Published: October 2019

For the spin stabilized two-dimensional trajectory correction projectiles with utation and precession phenomenon, an attitude controller with sliding mode control method and unidiational auxilairy surfaces (UAS-SMC) is proposed in this paper. And the underactuated control allocation in two-dimensional trajectory correction projectile with UAS-SMC controller is also discussed here. Simulation results show that the proposed controller can effectively control the attitude of the projectile and has strong robustness, which provides reference for engineering applications.
Bayesian Sparse Linear Prediction with Pearson Type VII Distribution
Authors: Wan Hongjie , Zhang Haiyun
Published: October 2019

The speech signal can be modelled as AR models with an innovation noise model. The Pearson type VII distribution is used to model the real excitation. Variational Bayesian framework is used to estimate the posteriors of the AR coefficients and noise model parameters. The model is not conjugate, so MCMC is embed into VB framework to estimate the degree of freedom (DOF) parameter of Pearson type VII distribution. The model order selection is carried out by setting ARD priors on the coefficients. Simulation is carried out on synthetic and real data, the results show that the algorithm performs well for linear prediction both for synthetic data and speech signal, and the results are better than using least square method.