bluuebunny/crossref_metadata_2025 huggingface dataset:
Some Features of Sentiment Analysis for Russian Language Posts and Comments from Social Networks
Authors: Sidorov N , Slastnikov S
Published: January 2021

Sentiment analysis of different language texts is one of the very popular machine learning tasks. The complexity of its solution depends both on the characteristics of a particular language, and on the length of the evaluated texts. In our work, we consider the task of creating a sentiment analysis software tool for Russian posts and comments from the most popular social networks without any domain restriction. The features of constructing both the algorithmic and the software parts of the problem are described, some quality and performance metrics of the suggested neural network system are presented.
A study of a complex model of opinion dynamics in social networks
Authors: Gubanov D A
Published: January 2021

Many micro-level models of information processes in social networks consider either a change in the information-psychological state of agents (opinions, beliefs, attitudes) or a change in their observable behavior (actions). The goal in this paper is to develop and analyze a complex agent-based model of opinion dynamics that describes the dynamics of agents’ beliefs and the process of performing actions by agents. The issues of reaching consensus and polarizing opinions of agents are investigated.
Limit evolution in some Markovian models of opinion dynamics with large number of participants
Authors: Vorobyeva Margarita , Manita Anatoly
Published: January 2021

We consider a discrete time Markov process describing dynamics in a society of K agents with special opinion exchange rules. In the limit as K goes to infinity, we prove that the process converges to some limiting dynamical system and afterwards we discuss some properties of that system.
Particle size and phase equilibria in classical logarithmic fluid
Authors: Lasich M , Zloshchastiev K G
Published: January 2021

An interparticle interaction potential has been recently proposed in studies of condensate-like systems described by logarithmically nonlinear equations, such as the superfluid helium-4 and Korteweg-type melts. It has the shape of a Gaussian multiplied by a linear function and can switch between the attraction and repulsion regimes as the distance varies. We consider a classical fluid model with a discretized version of this potential in Monte Carlo molecular simulations in the Gibbs ensemble. We demonstrate a two-phase system consisting of a dense “liquid” phase in coexistence with a significantly less dense “vapour” phase. For computations, the particle size term in the potential was varied to determine its effect on both the phase envelope and the critical point of the system. It is found that the logarithm of the dimensionless critical temperature decreases in a sigmoid fashion with increasing particle size, while the critical density may be directly proportional to the particle size.
DMRG study of FQHE systems in the open cylinder geometry
Authors: Misguich G. , Jolicoeur Th.
Published: January 2021

The study of the fractional quantum Hall liquid state of two-dimensional electrons requires a non-perturbative treatment of interactions. It is possible to perform exact diagonalizations of the Hamiltonian provided one considers only a small number of electrons in an appropriate geometry. Many insights have been obtained in the past from considering electrons moving on a sphere or on a torus. In the Landau gauge it is also natural to impose periodic boundary conditions in only one direction, the cylinder geometry. The interacting problem now looks formally like a one-dimensional problem that can be attacked by the standard DMRG algorithm. We have studied the efficiency of this algorithm to study the ground state properties of the electron liquid at lowest Landau level filling factor v = 1/3 when the interactions are truncated to the two most important repulsive hard-core components. Use of finite-size DMRG allows us to conclude that the ground state is a compressible two-electron bubble phase in agreement with previous Hartree-Fock calculations. We discuss the treatment of Coulomb interactions in the cylinder geometry. To regularize the long-distance behavior of the Coulomb potential, we compare two methods : using a Yukawa potential or forbidding arbitrary long distances by defining the interelectron distance as the chord distance through the cylinder. This allows us to observe the Wigner crystal state for small filling factor.
Initial Acquisition and Synchronization Based on Nonparametric Reception Techniques for IoT
Authors: Osipov Dmitry
Published: January 2021

Internet of Things (IoT) is one of the most important emerging techniques for the future generation communication systems. Recently a new approach to IoT physical layer design based on FH OFDMA and nonparametric reception techniques has been proposed. This approach offers a number of benefits including: high interference proofness and thus high user capacity, elimination of the channel estimation and equalization techniques and thus reduced overhead, low complexity of both transmission and reception techniques. However initial acquisition and synchronization methods design for such systems remains a challenging problem. In existing IoT solutions this problem is solved by employing signals with special properties. This paper advocates a different approach: initial acquisition and synchronization methods development based solely on the same signalling and reception techniques that are used for information transmission and the use of low-rate codes with low complexity decoding.
The development of statistical methods for the diagnosis of neurological diseases based on multiparameter analysis of brain activity
Authors: Yunusov V A , Demin S A
Published: January 2021

The application of data science for the analysis of biomedical data presented as time series allows using new methods of analysis of living systems. Therefore, using these methods it could be possible to discover new diagnostic criteria for neurological diseases. In this paper, in the framework of Memory Functions Formalism, one of the approaches of statistical physics, we analyze recordings of signals of the human brain cortex in the sleep state of 19 patients with nocturnal frontal lobe epilepsy and 8 healthy subjects. We observe alterations of dynamic parameter behavior at the pathology and in healthy subjects. Furthermore, we reveal significant alterations in brain rhythms manifestations at statistical memory functions power spectra of patients with epilepsy and healthy subject. As a result, we show that the application of the statistical analysis of electroencephalogram recordings, after appropriate verification, can be helpful in the search of diagnostic criteria of nocturnal frontal lobe epilepsy.
HPC Resources of the Higher School of Economics
Authors: Kostenetskiy P. S. , Chulkevich R. A. , Kozyrev V. I.
Published: January 2021

The National Research University Higher School of Economics launched its HPC cluster and created a new division named the Supercomputer Simulation Unit. Now the university HPC cluster occupies seventh place in rating the most powerful computers of the CIS TOP50. The HPC cluster uses to solve machine learning problems, population genomics, hydrodynamics, atomistic and continuous modeling in physics, generative probabilistic models, financial row forecasting algorithms, and other actual problems. Paper describes the HSE HPC resources and experience of their use for scientific and educational tasks.
Online detection of failures generated by storage simulator
Authors: Arzymatov Kenenbek , Hushchyn Mikhail , Sapronov Andrey , Belavin Vladislav , Gremyachikh Leonid , Karpov Maksim , Ustyuzhanin Andrey
Published: January 2021

Modern large-scale data-farms consist of hundreds of thousands of storage devices that span distributed infrastructure. Devices used in modern data centers (such as controllers, links, SSD- and HDD-disks) can fail due to hardware as well as software problems. Such failures or anomalies can be detected by monitoring the activity of components using machine learning techniques. In order to use these techniques, researchers need plenty of historical data of devices in normal and failure mode for training algorithms. In this work, we challenge two problems: 1) lack of storage data in the methods above by creating a simulator and 2) applying existing online algorithms that can faster detect a failure occurred in one of the components.

We created a Go-based (golang) package for simulating the behavior of modern storage infrastructure. The software is based on the discrete-event modeling paradigm and captures the structure and dynamics of high-level storage system building blocks. The package's exible structure allows us to create a model of a real-world storage system with a configurable number of components. The primary area of interest is exploring the storage machine's behavior under stress testing or exploitation in the medium-or long-term for observing failures of its components.

To discover failures in the time series distribution generated by the simulator, we modified a change point detection algorithm that works in online mode. The goal of the change-point detection is to discover differences in time series distribution. This work describes an approach for failure detection in time series data based on direct density ratio estimation via binary classifiers.
Local high-order conservative space-time adaptive mesh refinement with the Runge-Kutta time integration for solving the systems of conservation laws
Authors: Korneev B A , Levchenko V D , Ivanov A V , Zakirov A V
Published: January 2021

Numerical simulation is widely used as a main way of researching the processes described by the systems of partial differential equations in the divergence form, like fluid dynamics, traffic flow, wave propagation. To obtain desired accuracy and resolution, the high-order numerical methods are used. In this paper we consider the Runge-Kutta (RK) time discretization, when the space discretization can be high-order finite volume method, discontinuous Galerkin method or others. Presence of discrete analogue of conservation is considered to be very important for such methods as it corresponds to the essential feature of simulated process, becoming especially vital at the discontinuous solutions. The adaptive mesh refinement (AMR) techniques are used to get the numerical solution with more resolution where needed. For the explicit numerical scheme obeying the Courant-Friedrichs-Lewy (CFL) condition, the bigger time integration step can be chosen for the coarser cells. The problem is how to reformulate the numerical scheme near the boundary between cells of different size, keeping the conservation and high-order accuracy. In this paper a new algorithm is suggested. The changes in the numerical method are made only in the vicinity of the boundary. The local character of the developed algorithm allows us to efficiently implement it at modern computer systems. Results of validation tests of developed solver are shown.
Performance analysis of CUDA, OpenACC and OpenMP programming models on TESLA V100 GPU
Authors: Khalilov Mikhail , Timoveev Alexey
Published: January 2021

Graphics processors are widely utilized in modern supercomputers as accelerators. Ability to perform efficient parallelization and low-level allow scientists to greatly boost performance of their codes. Modern Nvidia GPUs feature low-level approaches, such as CUDA, along with high-level approaches: OpenACC and OpenMP. While the low-level approach aims to explore all possible abilities of SIMT GPU architecture by writing low-level C/C++ code, it takes significant effort from programmer. OpenACC and OpenMP programming models are opposite to CUDA. Using these models the programmer only have to identify the blocks of code to be parallelized using pragmas. We compare the performance of CUDA, OpenMP and OpenACC on state-of-the-art Nvidia Tesla V100 GPU in various typical scenarios that arise in scientific programming, such as matrix multiplication, regular memory access patterns and evaluate performance of physical simulation codes implemented using these programming models. Moreover, we study the performance matrix multiplication implemented in vendor-optimized BLAS libraries for Nvidia Tesla V100 GPU and modern Intel Xeon processor.
Optimization of request processing times for a heterogeneous data aggregation platform
Authors: Tokareva Victoria
Published: January 2021

A heterogeneous data aggregation system, e.g. developed within the frame of the GRADLC project, allows for a flexible expansion by connecting new data storages, as well as providing researchers a fast and aggregated access to heterogeneous data from independent (astroparticle physics) projects, while reducing the load on the original data storages. However, this flexibility requires balancing user requests in the queue with respect to various request processing times for the distributed storages, taking into account the different data processing policies on each particular storage. In order to attack this problem, a mathematical model of the data aggregation system was developed, and approaches to optimization of the request ordering in the processing queue are proposed and investigated by performing a numerical experiment. Based on this results, a job shop scheduling algorithm was revealed which gives benefit in mean request processing times compared to the well-known first in, first out (FIFO) model.
Monte Carlo simulations of the switching processes in the superconducting quantron-based neuron
Authors: Gorchavkina A A , Bastrakova M V , Klenov N V , Satanin A M
Published: January 2021

We study the response function of a superconducting single-contact interferometer (quantron or rf-SQUID), which is the building block for adiabatic neuron with a nonlinear transfer characteristic. It is shown that the intrinsic shunt capacitance of the junction leads to distortions in the response function. At the same time the contact resistance leads to the suppression of these vibrations. The response function of the rf-SQUID at finite temperature is calculated by Monte Carlo method.
Cloud storage capable to select events upon user request for medium-sized astrophysical experiments
Authors: Kryukov Alexander , Bychkov Igor , Korosteleva Elena , Mikhalov Andrey , Nguyen Min-Duc
Published: January 2021

We present a cloud storage for collaborations of small and medium-sized experiments in the field of particle astrophysics. This storage provides a unified interface for accessing data from different experiments. In this article, we will focus on the capabilities of the storage for processing user requests for data, as well as on some technical details of the implementation of data selection. We have deployed a working prototype of the storage. Currently the prototype integrates data from such astrophysical experiments as TAIGA and KASCADE. As a result, users of the respective collaborations have the opportunity to collect scientific data from different experiments seamlessly within one request to conduct joint data analysis.
Semiclassical Approximation for the Curie – Weiss Model
Authors: Bulekov Aleksandr
Published: January 2021

The paper is devoted to the construction of spectral series and the estimation of the approximation accuracy for the operator of the Curie – Weiss model. In the course of work, the operator is reduced to a tridiagonal form in the subspace of the original space, then to a second-order difference equation. The admissibility of reducing an operator to a subspace is presented. It is shown that the difference equation can be considered in the discrete semiclassical approximation. In the obtained classical system, the dependence of the turning points on the model parameters is investigated. The asymptotics of the spectrum of the Curie-Weiss operator is calculated and the accuracy of the approximation is estimated.
Development of the new ensemble weather prediction system at the Hydrometcentre of Russia
Authors: Mizyak Vasily , Rogutov Vladimir , Alipova Ksenia
Published: January 2021

The new ensemble weather prediction system developed at Hydrometcenter of Russia is presented. It is based on the global atmospheric model with the resolution of 0.9×0.72 degrees in longitude and latitude, respectively, 96 vertical levels, and the Local Ensemble Transform Kalman Filter (LETKF) algorithm implemented by the authors. The key feature of this system is the centering of the initial data ensemble onto the operational analysis of the Hydrometcenter of Russia, which allows to take into account some satellite observations not assimilated in LETKF. Some improvements in assimilating radiosounding data has increased the accuracy of short range weather forecasts. The first results of ensemble medium-range forecasts are presented. Now this ensemble prediction system is ready for a quasi-operational use.
Analysis of Leakage and Corrosion of Air Preheater in Coal-Fired Power Plant
Authors: Jiang Long
Published: January 2021

A unit of a coal-fired power plant (300MW) in North China was selected to study. The flue gas parameters (NH3, O2 and flue gas temperature) at the outlet of denitration system, oxygen content at the inlet and outlet of air preheater, and composition of combustion coal were tested. Then, the air leakage and corrosion of air preheater were evaluated from the operation of denitration system, air preheater leakage detection, and acid dew point calculation of flue gas. The influence of ammonium hydrogen sulfate from denitration system on the downstream air preheater is limited due to the low ammonia escaping. The air leakage rates of the air preheater at the side A and B were 8.45% and 3.01%, which are higher than the normal value (< 3%). Due to the air leakage of air preheater on side B, the cold end temperature of air preheater is significantly lower than the acid dew point of flue gas, resulting in the condensation of sulfuric acid mist in flue gas on the air preheater and the sulfuric acid corrosion on the air preheater.
Comparison and Summary of Relevant Standards for Comprehensive Utilization of Fly Ash at Home and Abroad
Authors: Jin Shengxiang , Zhao Zhihong , Jiang Shifeng , Sun Jian , Pan Haibin , Jiang Long
Published: January 2021

Based on the comprehensive utilization situation of fly ash in some countries, the contents and characteristics of the existing fly ash comprehensive utilization standard systems of these countries were discussed and compared, so as to provide guidance and suggestions for improving the standard system and the comprehensive utilization of fly ash in China. The average comprehensive utilization rate of fly ash in China is 70%, which is mainly used in building materials, but is relatively low in road, backfill and other scopes. Compared with developed countries, the scope and limit value of indexes involved in the standards of fly ash in China are loose, and the fields involved are mostly traditional building materials and infrastructure construction. The comprehensive utilization of fly ash of China can be improved from the following points: the indexes investigated in standards should reflect and conform to the particularity of China; the comprehensive utilization standard of fly ash should be more suitable for the local region; the power plants should actively explore and improve their own comprehensive utilization.
Study on the Safety Guarantee of Ship Mooring from Frequent Cable Accidents
Authors: Gao Feng , Hu Ke , Shen Wen-jun , Li Yan
Published: January 2021

According to the review of the frequent mooring broken cable accidents around the world, this paper analyzes the current situation of port ship mooring operation, and analyzes the innovative research, development and application of mooring technology at home and abroad. In this paper, on the basis of the motion compensation principle of active anti-rolling, and relying on the parallel platform, an intelligent mooring system which can act as both cable and fender function is developed. The system can autonomously adapt to the ship’s six-degree-of-freedom movement, monitor the ship’s load data, and realize the active control of the ship through follow-up and damping, so as to achieve the purpose of autonomously controlling the ship-shore mooring process intellectualization.
Experiential Study of Measurement Comparison between Ocean Buoys and Wave Gauges in Large Wave Flume
Authors: Hu Chuanqi , Wang Yina , Li Yuesong , Chen HanBao
Published: January 2021

The actual wave flow condition is difficult to control, so the real measurement accuracy of ocean wave buoy has not been verified. Based on the above background, this experiment conducted comparison test on two kinds of ocean wave buoys in the large-scale wave flume laboratory. Based on regular waves and under different conditions of period, velocity and wave height, the wave height measured by the 2m capacitive wave height meter was compared with the measured wave surface data by the buoy. The experimental results show that the relative error of wave height of SBF6-1 and SBF3-2 buoys is 1.2%∼15% and 2.5%∼14.2%. According to the results of spectrum comparison, the spectrum peak frequency of buoy and wave height instrument is relatively consistent under the same working conditions, but the difference of wave energy density at the spectrum peak frequency is obvious and the error range is 14%∼30%.
Unconventional Oil Ores around the World: A Review
Authors: Ma Guoqiang , Jia Jianna , Qi Zhaoyu , Peng Shitao
Published: January 2021

With the increasing demand of the conventional oil and gas, unconventional oils are playing an increasingly important role in global energy supplying. Unconventional oil ore (such as oil sands, asphalt rocks) has been widely used in the industry. The bitumen recovered from the unconventional oil ore can be used for the production of synthetic crude oil. Canada has the world’s largest oil sands deposits in Alberta. Since the discovery of the Athabasca oil sands, many technologies have been applied to recovery the bitumen in industry, and the daily production of unconventional oil has reached 10.9 × 106barrels in 2018. However, the Chinese oil sands has not been applied to the industry due to the complex characteristics. Much more attention will be paid to the fundamental research and process development of the unconventional oil ores.
Analysis on Material Defects of Circuit Breaker Oil and Gas Pipelines
Authors: Xie Yi , Zuo Penghui , Zhou Xinghua , Chen Bin , Zhou Pan , Feng Chao
Published: January 2021

The circuit breaker oil and gas pipeline was closely connected with its hydraulic mechanism and SF6 insulation system, and was an important accessory related to the mechanism’s power and insulation performance. Aiming at the current high-pressure tubing fracture of the oil and gas pipeline of the circuit breaker, the cracking of the SF6 three-way valve interface bolt and the connecting pipe, the chemical composition, mechanical properties, metallographic structure and fracture morphology of each accessory were analyzed from the material point of view, and the material composition was found poor, excessive hardness and abnormal metallographic structure were the main reasons for the failure of circuit breaker oil and gas pipeline components, and technical supervision suggestions had been put forward from the aspects of network check and operation and maintenance inspections.
Numerical Study on the Influence of Ventilation on the Heat Flow of Cable Fire in Narrow-long Space
Authors: Xiong Yanyi , Ma Yiwei , Shen Bing , Zhu Kezhou , Zhao Huiping
Published: January 2021

In order to study the characteristics of heat flow field after fire in a narrow-long space, a mathematical and physical model for fire calculation in a narrow-long space is established. The control equations are simplified and deformed. The numerical program is used to solve the model. The characteristics of smoke spread, temperature field distribution and the change of fire parameters in different positions with time are obtained. The influence of ventilation on the heat flow field of fire is discussed. By analyzing the characteristics of fire flow field, it can provide reference for fire detection design in narrow-long space.
Effect of Torrefaction Pretreatment on Chemical Structure and Pyrolysis Behaviors of Cellulose
Authors: Zheng Anqing , Li Luwei , Zhao Zengli , Tian Yuanyu , Li Haibin
Published: January 2021

In order to obtain the effect of torrefaction pretreatment on chemical structure and pyrolysis reactivity of cellulose, torrefaction of cellulose was conducted in a fixed bed reactor at varying torrefaction temperature and residence time. The chemical composition and structural alterations of torrefied cellulose were characterized by elemental analyzer and Fourier-transform infrared spectroscopy (FTIR). The investigation on the pyrolysis behaviors of raw and torrefied cellulose were carried out by using a thermogravimetric analyzer (TGA). The results showed that torrefaction of cellulose mainly proceeded a series of deoxygenation, polycondensation and carbonization reactions. The severe carbonization of cellulose occurred when the torrefaction temperature and residence time were larger than 300°C and 40 min, resulting in the drastic decrease in the pyrolysis reactivity of cellulose. Hence, the optimal torrefaction temperature should not exceed 280°C.
Study on schedule risk assessment of power transmission and transformation project based on improved risk chain
Authors: Liu Qin , Yin Chen , Chen Bingqian
Published: January 2021

The development and management of power transmission and transformation project schedule is highly subjective, and the delay of construction period will bring risks and losses to all parties. With China’s power construction entering the period of structural adjustment and transformation, it has become a new trend of power development to adopt scientific project management methods to improve the risk management level of power transmission and transformation projects. This paper first identifies the schedule risk of power transmission and transformation projects, analyzes the correlation between schedule risks based on the risk chain theory, establishes the schedule risk evaluation model based on the improved risk chain, and makes an empirical analysis on the schedule risk assessment of a power transmission and transformation project, which has a good effect on quantifying the schedule risk of power transmission and transformation project.
Application of PV-assisted Intelligent Electric Vehicle Charging and Switching Power Station
Authors: Wang Ye
Published: January 2021

Taking a new office area as an example, this paper introduces the design of power supply and distribution system for traditional electric vehicle charging pile. In view of the adverse impact of large-scale EVs load on the power grid, a photovoltaic charging and switching power station microgrid system is proposed, and intelligent dispatching is carried out through the energy management system. The scheme combines the development of clean energy with the supporting facilities of electric vehicle, which can effectively solve the problems caused by the connection between new energy and power grid, and improve the quality of power grid. The Energy Management Strategy reduces the impact of traditional charging stations on the urban distribution network and the consumption of urban electricity during peak period, and has higher economic benefits.
Analysis of the Effect of wind Loads on the dynamic response of the Suspended Crossing-Tower Auxiliary System
Authors: Bin Zhang , Dongliang Xue , hongjun Liu
Published: January 2021

The operational impact analysis of Crossing-tower Auxiliary Fittings System is a performance impact analysis of the operational stability and performance indicators of the line and auxiliary towers under a variety of environmental conditions for the long-term operation of the auxiliary crossing-tower system. In this paper, the suspension type auxiliary tower fitting system is divided into two types: the hard rod connection and the soft line connection. The influence of the arrangement of the wind pendulum, ice coating and anti-vibration hammer on the mechanical performance is considered. At the same time, the influences of the length of the bridge, the span and sag of the ground wire on the displacement and stress-strain of the bridge over the tower are analyzed. On this basis, it lays a certain theoretical basis for the structural optimization of the suspended tower auxiliary system.
Study on Controlling Technology for Surrounding Rock in Withdrawal Channel of Full-Mechanized Caving Mining with Large Mining Height Face of Super High Seam
Authors: Li Yalong , Li Cheng , Niu Shiwei , Chen Yongqiang
Published: January 2021

In order to solve the problems such as serious damage of the withdrawal channel and wall caving of tunnel side at end mining stage of 21604 fully-mechanized caving mining face of Huangyuchuan coal mine, study the deformation of surrounding rock of the withdrawal channel in 21604 working face and the law of destruction based on a large number of measured field data; the results show that when the working face is 10 m away from the withdrawal channel, the maximum roof subsidence is 300 mm, and the axial force of roof anchor rod reaches 52 kN, exceeding the anchoring force of anchor rod (50 kN); when it is 5 m away from the withdrawal channel, the maximum roof subsidence is 610 mm, and the axial force of side anchor rod reaches the peak value of 48 kN; when the working face passes through the withdrawal channel, the borehole stress meter reaches the peak value of 22 MPa, the withdrawal channel is seriously damaged, and the depth of tunnel side wall caving reaches 700 mm at maximum. According to the deformation characteristics of the surrounding rock of withdrawal channel, it is proposed to adopt the grouting reinforcement for the mining side and the anchor mesh cable combined with reinforced support for the non mining side and roof on the basis of the original support. It has been successfully applied in 21605 working face, and the support effect is remarkable.
Gas emission law and control method of working face in extra thick coal seam
Authors: Li Liangwei
Published: January 2021

Aiming at the problem of abnormal gas emission in fully mechanized caving face during mining, the law of gas emission from coal and rock in front of working face is studied, and the main factors of gas emission from coal wall and goaf are analyzed. This paper puts forward the method of gas drainage by surface drilling, which provides a new way to solve the gas overrun of upper corner, return air roadway and working face under the condition of high-intensity fully mechanized caving mining in extra thick coal seam, which has great engineering significance to ensure the safety and efficient production of the mine.
Analysis of Reservoir Prediction Method in Outspread no-well Area
Authors: Hu Shengxing
Published: January 2021

# oilfield has entered the late development stage of super high water cut, the comprehensive water cut of the oilfield has exceeded 96.7%, the production decline leads to the difficulty of maintaining stable production, it is imperative to increase the recoverable reserves. According to the oil test data of 6 outspread evaluation Wells deployed in the east outspread area of # Oilfield from 2008 to 2010, it is proved that this block has certain productivity. In this study, based on the sand-body characteristics of three and four belts based on the well logging data sedimentary facies map, combined with the seismic attribute interpretation results, the five belt sand-body was predicted. The development characteristics and distribution of the reservoir were clarified, which provided a reliable basis for the formulation of reservoir engineering plan and the realization of efficient development of the five strip extension block.
Analysis on stress characteristics of floor in thick seam working face at initial stage of fully mechanized top coal caving mining
Authors: Guo Liquan , Ou Yuanchao , Liu Chang
Published: January 2021

Coal seam working face mining will cause the redistribution of the stress field in the mining floor, which results in the deformation and damage of the coal and rock mass. The stress on the open-off cut floor of the working face at the initial stage of fully mechanized top coal mining of coal seam is different from other positions. Knowing the change of the stress characteristics of the rock formation in this area is significant for the safe mining of the coal seam. To investigate the characteristics of the stress changes in the rock formation in the open-off cut floor of the working face at the initial stage of fully mechanized top coal mining of thick coal seam, a distributed fiber-optic strain testing technology was used for dynamic monitoring of the stress distribution in the rock formation in the open-off cut floor of the working face, based on the working face of a mine in Huainan, China. The results showed that the change in fiber-optic strain distribution throughout the monitoring period corresponded well with the lithology of the formation. The fiber-optic strain in the ⑥ mudstone, ⑦ limestone, and ⑧ fine sandstone in the control area of the drilled fiber optic cable was subject to compressive strain, indicating that the floor of the working face was subject to overall compression due to the influence of the mining action. The fault structure limited the extent and magnitude of the effects of mining stresses laterally in the rock formation. The overall fiber-optic strain in the ④ sandy mudstone and ⑤ fine sandstone located on the outside of the open-off cut floor of the working face did not change significantly. The lagged impact distance of the mining stress was 35 m.
Experimental study on the influence of temperature and radiation on photovoltaic power generation in summer
Authors: Zhang Mingzhu , Liu Wanfu , Qi Wuqin
Published: January 2021

The power generation of photovoltaic systems is random and uncertain, which is the result of a variety of factors. However, there are few studies considering the interaction of two or more factors at the same time. Therefore, the influence of air temperature and radiation on photovoltaic power generation is considered in this paper, and based on the physical system, the experimental data is processed and analyzed through SPSS and DPS data analysis software and the multiple nonlinear regression analysis model. The processing results show that whether it is the quadratic and cubic nonlinear regression equations or the quadratic and cubic trend surface fitting degrees all reach a significant level, it can be used to reveal the law of the influence of two factors on the power generation under the test environment. The analysis results found that the combined effect of temperature and radiation on photovoltaic power generation is more complicated, but the overall impact of solar radiation is significant and greater than the air temperature; low temperature and high radiation, high temperature and high radiation and low radiation conditions have side effects on photovoltaic power generation; when the two are enhanced at the same time, it will help increase the photovoltaic power generation; when the two “one increase and one decrease”, the photovoltaic power generation first increases and then decreases, and there is an optimal air temperature, solar radiation, and maximum photovoltaic power generation.
Master-slave game Modeling of Energy subsidy pricing based on demand response
Authors: Wang Yongli , Yao Suhang , Zhou Minhan , Dong Huanran , Qu Daomin , Bai Jie
Published: January 2021

This paper presents a master-slave game model of demand response between power grid companies and multiple users. Firstly, the objective functions of power supplier and power user revenue are established by considering the customer satisfaction and power fluctuation cost. Then, the variables in the model are divided into strategy sets of the two players by the decision variable mapping set technique, and the equilibrium solution is obtained after multiple rounds of games. The example shows that the subsidy price of peak load period can be obtained by the grid company based on the model, and both the grid company and the user can benefit from the demand response.
Research on metal corrosion mechanism and inhibition measures of transmission and distribution equipment in Hunan
Authors: Huang Zhi , Feng Chao , Wang Jun , Liu Weike , Xie Yi
Published: January 2021

Through the analysis of the different mechanisms of corrosion of metal materials in AC and DC power transmission and transformation equipment and the factors affecting the corrosion rate, the impact of metal corrosion on the mechanical and electrical performance of electrical equipment was deeply studied. The selection of electrical equipment, material inspection and on-site anti-corrosion treatment were proposed. It was an effective measure to prevent corrosion failure of power transmission and transformation equipment.
Process for stabilizing fluorine in electrolytic aluminum spent pot lining by roasting method
Authors: Dongyue Wang , Haibin Wang , Chunlei Li , Yongrong Qi , Liting Fan , Li Peng
Published: January 2021

Electrolytic aluminum Spent Pot Lining (SPL) contains excess soluble fluoride, which can cause harm to the environment and human body when it seeps into the ground with rainwater. Therefore, it is necessary to convert the soluble fluoride into a chemically stable insoluble substance. In order to stabilize the fluoride ions of soluble fluoride, a roasting process is adopted. Through thermodynamic calculations and experiments, four factors of suitable calcium salt, calcium salt to SPL ingredient ratio, roasting temperature and time are determined to obtain the best operating conditions. The experimental results show that when the calcium salt is CaCl2, the ingredient ratio is m(CaCl2)/m(SPL)=0.5, the roasting temperature is 750°C and the roasting time is 5h, the amount of F-leaching is 10.64ppm, meeting the national requirements for the amount of F-leaching in electrolytic aluminum solid waste. Finally, the process route of roasting stable fluorine was determined according to suitable operating conditions.
Application method of natural light in architectural design
Authors: Hu Xueqing
Published: January 2021

Based on the purpose of improving the architectural design, we will make a simple discussion around the application of natural light, propose the use of natural light, and make a simple discussion. First, the article analyzes the requirements of architectural design. Secondly, it analyzes the use of natural light with examples. Finally, the strategy of using natural light is summarized. According to the analysis of architectural design practice, improving the utilization rate of natural light will play a positive role in reducing the consumption of energy and resources, and has the value of promotion and application.
Pyrolysis-gas chromatography/mass spectrometry to identification of the solid waste characteristic of imported polyamide recycled plastics
Authors: Zhang Ying , Luo Chuan , Yuan Lifeng , Xu Shanhao , Wang Hao , Lin Zhenxing
Published: January 2021

An analytical method for the determination of content of PA66 in PA6/PA66 blends by pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) with silica (SiO2) as dispersant was established. After the sample was frozen and crushed into powder, silica was used as a solid dispersant mix with the sample, and the mixtures was injected. At 600°C cracking temperature, the corresponding cracking chromatogram was obtained, and the characteristic of PA66 on the cracking chromatogram of PA6/PA66 blend, the cyclopentanone, was selected as the quantitative peak to calculate the mass of PA66 in the PA6/PA66 blend. The content of PA66 in the dispersion was in the range of 0.50 g/kg ∼ 100 g/kg, and the results had a good linear relationship. The detection limit of the PA66 was 0.50 g/kg (the corresponding PA66:PA6 ratio was 0.5:99.5). The PA6/PA66 samples with known mixing ratio were measured, and the recovery of the results was 95.7%∼102.1%, and the relative standard deviation(RSD) was 1.6%∼5.9% (n=3). It can accurately determine the content of PA66 in PA6/PA66 blends, and provide technical support for the attribute identification of related imported recycled plastic solid wastes.

Introduction. Py-GC/MS; Recycled polyamide; Solid dispersant; Solid waste Characteristic identification
Self-heating incubator based on Fresnel lens and phase change energy storage
Authors: Guo Jinyu , Zhang Yan , Chen Xu
Published: January 2021

In recent years, with the continuous development of the Internet and catering industry, China’s takeout industry chain has gradually improved, and takeout has become an important force in the domestic catering consumption market. But at present, there are some problems in the market, such as high energy consumption and unsatisfactory insulation effect. This work is mainly divided into four parts: Fresnel lens focusing module, light tracking module, phase change energy storage module and delivery box module. Fresnel lens concentrator module focuses sunlight and converts heat energy. The tracking module tracks the position of the sun and strengthens the capture of solar energy by Fresnel lens. Phase change energy storage module stores heat energy and releases heat energy when needed. The delivery box module determines the overall framework. Compared with similar products, this work has the advantages of less energy consumption, better heat preservation effect and lower delivery cost.
Comparison of cost allocation models for transmission and distribution by voltage levels based on postage stamp method and peak load liability method
Authors: Ma Yanxia , Gou Shuaiyu , Zhang Weiqi , Wang Guanran , Zhang Zelong
Published: January 2021

In order to make the allocation of transmission and distribution costs more reasonable, the cost allocation models for transmission and distribution of different voltage levels based on postage stamp method and peak load liability method are constructed. Two models are used to calculate and compare the transmission and distribution costs of different voltage levels in a power grid company. The results show that the peak load liability method is more reasonable than the stamp method to allocate transmission and distribution costs among different voltage levels.
Automatic Analysis Method for Cause of Disqualification in Remote Test of The Primary Frequency Regulation
Authors: Li Yuanyuan , Gao Song , Li Jun , Yu Qingbin , Yan Qing , Liu Enren
Published: January 2021

In this paper, the factors affecting the correct operation rate of primary frequency modulation are analyzed in the light of the primary frequency modulation test of thermal power generating set and the assessment index of primary frequency modulation of power grid. Furthermore, effective solutions and countermeasures are put forward to make the unit meet the technical requirements and performance requirements of primary frequency modulation operation under various working conditions, and meet the requirements of safe operation of power grid and production of the unit.
NO Reburning by CH4-H2 Mixture under High CO2 Concentration in a Jet-Stirred Reactor
Authors: Liang Liwen , Li Pengfei , Zu Daohua , Hu Fan , Liu Zhaohui
Published: January 2021

New experimental and numerical results for NO reduction of CH4-H2 mixture were obtained in a 0-dimensional jet stirred reactor (JSR), the effects of the following four factors are considered: temperature(T): 800-1300 K; equivalence ratio(φ): 0.5-2.5; proportions of H2:CH4 in fuel: 0:6, 1:5, 3:3 and 5:1 (expressed in terms of FUEL-CH4, FUEL-1:5, FUEL-3:3 and FUEL-5:1, respectively); CO2 concentration in dilution gas: 0, 30% and 60% (expressed by terms D-N2, D-30%CO2 and D-60%CO2, respectively). Compared with pure CH4, mixing with H2 weaken the NO reduction in high temperature region, The NO reburning reduction rate of FUEL-3:3 increases first and then decreases with the increase of φ. The strongest reduction effect is obtained at T=1300 K and φ=1.2, and the reduction efficiency is about 70%. The NO reburning reaction was obviously inhibited by increasing CO2 concentration, but the effect was limited when the CO2 concentration reached a certain level. The reburning effect of FUEL-CH4, FUEL-1:5, FUEL-3:3 is approximative, but the reburning effect of FUEL-5:1 is significantly inhibited by high proportions of H2:CH4.
Planning Method of Diffusion Capability for the Multiple Resources of User-side Including Distributed Photovoltaic Access
Authors: Huang Jia-qi , Sang Zi-xia , He Ji-feng , Yan Jiong , Wang Si-cong , Yang Dong-jun , Lei He , Wang Ya-lei
Published: January 2021

High penetration of distributed renewable energy is the trend of future power and energy systems. Under the background of retail electricity market reform, retail price mechanism is of great significance to facilitate large-scale integration and consumption of user-side renewable energies. Considering the adoption of renewable energy is essentially the diffusion process of technological innovation, we presented an evaluation method for measuring the diffusion capability of distributed photovoltaic with the retail price mechanism. Firstly, based on the residential double-step tariff structure, the decision models were proposed for energy transactions between retailers and customers using Ramsey pricing theory. Secondly, by introducing the methodology of system dynamics, the market feedback mechanism between the electricity price design and the integration capacity of distributed photovoltaic was analyzed, thus the evolutionary model of distributed photovoltaic dynamic diffusion under the price policy was established. Finally, the criterion of stable diffusion of distributed photovoltaic based on Lyapunov function was developed in this paper.
Research on new energy consumption supported by deep learning in the context of integrated energy services
Authors: Wang Haomiao , Ma Hongliang , Liu Xuesong , Yang Jiaxuan , He Huan , Meng Zhiruo
Published: January 2021

The use of renewable energy has alleviated the severe resource and environmental pressure at this stage. However, the discontinuity and randomness of renewable energy have brought risks to the system, resulting in serious problems of abandoning wind, light, and water, making it impossible to achieve large-scale access to renewable energy. This paper proposes a framework of renewable energy consumption system supported by deep learning, which can provide new solutions for renewable energy consumption under the background of integrated energy service system.
Utilization of biodiesel soot particles as additives for improved aqueous lubrication
Authors: Li Chuan , He Qiaoen , Fu Jiale , Pu Peng , Liu Hao , Cheng Qunqun , Luo Hongzhi , Zhao Qiuting , Wang Xuanxuan
Published: January 2021

Biodiesel soot particles (BSPs) and first heat-treated and then acid-treated BSPs (T-BSPs) were employed as lubricant additives for GCr15 steel/316 austenitic stainless steel contacts in aqueous media. Their tribological performances and mechanisms were tested. The result shows that T-BSPs exhibited better lubricating performances than BSPs in aqueous media. Moreover, it is proved that both BSPs and T-BSPs could enter the friction surfaces and prevent the direct steel–steel contact. In addition, T-BSPs exhibited better dispersion in water, which aided uniform adsorption on the friction surfaces, resulting in better friction-reducing and antiwear performances.