bluuebunny/crossref_metadata_2025 huggingface dataset:
An automatic irrigation system for plants using fuzzy logic controller considering volumetric water content
Authors: Rahim S. , Hussain M H , Rahim S R A , Hashim N , Halim H A
Published: January 2020

An automatic irrigation system have an important role in today agriculture sector. Currently, automatic irrigation systems which can irrigate and supply plants with desired level and amount of water required for normal plant growth are not available. Furthermore, the classical method using on-off controller is inefficient due to results in loss of energy and productivity. Thus, an efficient automatic irrigation system with fuzzy logic controller is proposed to estimate the amount of water level using the irrigation model, soil type and type of plant. This paper presents a solution for irrigation system for plants using fuzzy logic controller using MATLAB Simulink. To indicate the effectiveness of the proposed method, on-off controller method is also applied for validation purpose.
A Comprehensive Study on Tunneling Field Effect Transistor using Non-local Band-to-Band Tunneling Model
Authors: Hussain Sazzad , Mustakim Nafis , Singha Showmik , Saha Jibesh K
Published: January 2020

In this research work, a n-type silicon tunneling field effect transistor (TFET) has been designed and investigation has been carried out on its performances by altering different device parameters such as gate insulator dielectric constant, channel thickness, gate geometry, and channel length. The performances have been evaluated based on subthreshold swing, threshold voltage and I
on
/I
off
ratio of the devices. The goal is to find a device which would simultaneously have a low subthreshold swing (SS), low threshold voltage, and a high I
on
/I
off
ratio. It has been observed that having a double gate, short channel length, high-k dielectric, and low channel thickness leads us towards a compact design and the device exhibits very promising values of the aforementioned performance criteria. The most attractive proposition about a TFET is its ability to have a subthreshold swing lower than 60 mV/dec which is the theoretical limit of a MOSFET. In this study, an optimized device is obtained which has a subthreshold swing (point) of around 26 mV/dec and an I
on
/I
off
ratio in the order of 1013. In addition, an inverter has been designed using a n-type TFET and a resistor to show the potential of TFETs to be used in logic circuits.
Effect of diode laser on physical properties of CdS thin films
Authors: Abdulmunem Saeed Asrar , Jasim Ghdeeb Nadia , Jawad Kadhum Farah
Published: January 2020

In this study, Cadmium Sulphide (CdS) thin films are deposited on glass substrates by means of Spray Pyrolysis method to examine the influence of electromagnetic and optical features of these films by diode laser . Accordingly, samples are feasibly irradiated by laser pointer with a power of 500 mw and a wavelength of 532 nm at distance of 10 cm from the source during dissimilar exposure times of 10, 20, 30, 40, 50, 60, 70 and 80 minutes. The absorbance spectrums have been measured by UV-visible spectrophotometer under range of 190-1100 nm. Optical parameters such as transmission, reflection, absorption coefficient (α), extinction coefficient (K), optical band gap (Eg), refractive index (n), and complex dielectric constants were evaluated from absorbance spectra. The results shows that the laser pointer irradiation cause decreased in transmittance (T), reflectance (R), absorption coefficient α, the extinction coefficient (K), refractive index (n) and the real and imaginary parts of dielectric constant and decrease in the value of the energy gap (Eg). In study of FTIR-spectrum of CdS films in different ratio of irradiation times, there was no change in the peak positions just bigger or smaller with increase in times of irradiation.
Analysis of automatic transmission fluid in CNG bus engine by ferro graphic technique
Authors: Abdul Rahman Norhanifah , Katon Matzaini , Manap Norhashidah , Ain Abd Rahman Nur , Ghazali Hanipah
Published: January 2020

Public transportation helps to reduce road congestions, gasoline consumptions, saves money and also enhances personal opportunities. However, maintenance problem is a concern in public transportation that could cause disruption of service. In this study, this issue had been addressed in order to help prediction of wear so that the problem could be predicted before it happens. This study looks into the Compressed Natural Gas (CNG) Engine of Nadi Putra bus on the inconsistency range of mileage in changing the Automatic Transmissions Fluid (ATF). The objective of this project is to study gearbox conditions in a bus (Nadi Putra) in term of lubrication and wear. Ferrographic analysis was carried out in order to determine types of wear particles and suitable range of mileage for the bus to change the ATF by analyzing the sample of transmissions fluid taken from bus gearbox. Optical microscopy and Predict Chart were used to characterize and identify sample in where groups. It was observed that the rolling-element fatigue and cutting wear were major findings in all samples oil analysis tested.
Computational analysis of thermally stratified mixed convective non-Newtonian fluid flow with radiation and chemical reaction impacts
Authors: Loganathan K. , Prabu K. M. , Elanchezhian E. , Nirmalkumar R. , Manimekalai K.
Published: January 2020

The important goal of this article is to examine the thermally stratified flow of Oldroyd-B liquid induced by a stretchy sheet. Mathematical model of physical problem is situated with radiation and chemical reaction impacts. By help of similarity transformation, PDE’s are converted into ODE’s with dimensionless variables. Homotopy technique is employed for solving nonlinear ODE’s. Graphs are represented to notify the change of flow parameters, temperature and concentration parameters. Also mass and heat transfer rates are demonstrated through graphically. We observe that Thermal stratification constant reduces the heat transfer rate. On the other hand, thermophoretic and chemical reaction constants boost up the mass transfer rate.
Environmental Indicators through Artificial Neural Networks
Authors: Silva Jesús , Senior Naveda Alexa , Hernández Palma Hugo , Niebles Núñez William , Jiménez Rodríguez Luis
Published: January 2020

Indicators are the most important management tool for environmental monitoring. Environmental indicators condense the information and simplify the approach to environmental phenomena, which are often complex, and makes them very useful for communication. The usefulness of these indicators consists of providing relevant information, summarized in the form of concise and illustrative statements for decision making, both for the organization’s management and for the rest of the members. The prediction of limit values, together with the potentialities offered by the recommendation system based on ontology make this system a powerful tool for supporting decision-making in the Environmental Management process with a wide possibility of generalization in the business sector.
Review of feasibility wind turbine technologies for highways energy harvesting
Authors: Liew H F , Baharuddin I , Rosemizi Abd R , Muzamir I , Hassan S I S
Published: January 2020

Wind energy is one of the non-conventional forms of energy and it is available in affluence. It is also claimed that the wind power is pollution-free, replacement of fossil fuel and that its source of energy is freely available. Electricity can be generated with the help of a wind turbine generator. In this paper, a comprehensive study on contemporary portable wind energy harvesters has been conducted. The different existing performance such as reliability evaluation models, various problems related to structure wind turbine components (blade, gearbox, generator and transformer) and grid for wind energy system have been discussed. At the same time, experimental analysis is focused on behaviour, especially characteristics of impact wind energy, performance as lots of advanced research work has already been done or going on the harnessing of natural wind energy. In this review paper, a different model wind turbine has been studied from previous testing purpose presented. This review aim of utilizing this wind energy in a most effective manner to get the maximum electric output, and therefore the government can think over implementing the suitable type of wind turbine configuration selected highway at low cost as our installation site taking the advantage of the moving vehicles on both sides of the road.
Design and implementation of slotted metamaterial stacked microstrip patch antenna for broadband applications
Authors: Divya C , Koushick V
Published: January 2020

The design of stacked patch antenna integrated with metamaterial for broadband applications to achieve appreciable gain, directivity and low return loss is presented in this article. It mainly focuses on optimization and easy adaptation in MMIC technology. The antenna is designed to carry out by combining two Microstrip patch antenna in a stack manner and Metamaterial is implemented by Complementary Split Ring Resonator (CSRR) technique on both side of the patch antenna and slots are introduced at four corners of the patch and adjacent to the metamaterial. The designed antenna is capable of maintaining its performance over wireless system at C band (4-8 GHz) frequency range. The substrate used is FR-4 with thickness of 0.8mm and permittivity) is 4.2. It is simulated using Advanced Design System (ADS) and it is resonated around 6 GHz. It yields a VSWR of about 1.014 (6.25 GHz), 1.022 (5.829 GHz) and 1.015 (6.522 GHz) under simulation and 1.25 (6.03 GHz), 1.119 (5.74 GHz) and 1.247 (5.36 GHz) in measurements respectively. Thus the antenna becomes a necessity for many applications in recent wireless communications such as RADAR and space applications.
Paradigm shift and challenges in IoT security
Authors: Chopra Ashok
Published: January 2020

All Our world is experiencing major technological changes and this time it is cantered not on internet but Internet of Things. Actually, Internet of Things is sincere effort to connect all unconnected especially smart objects by doing so human wants to challenge their own way of thinking that shouldn’t all objects be connected to one central network and among themselves so that as human we can control them all. So, paradigm is let us provide capability of objects to exhibit the ability to communicate to each other as well to one central system thus to human beings. This effort would certainly bring new improvements and efficiency in our lives. It is this very premise behind Internet of Things (IoT) that would see new transformation and revolution in industrial world from manufacturing, logistics and supply chain in current industrial world of 4.0 and future newer versions. Over last few decades Information Technology (IT) has been witnessing strong and active cyberattacks and creating protection threats to the cyber security networks. Information Technology industry has learnt lot from these threats and have also documented them to find right and appropriate solutions. In contrast Operational Technology environment surrounding Information Technology were kept in abeyance in many organizations. Thus one hardly finds history and documentation of cyberattacks systems built around operational technology. This also makes fewer learning opportunities and record of catalogued incidents and their corresponding risk mitigation strategy not rich in record. It is worth knowing that the world of operational technology addresses wider scope and higher depth in comparison to Information technology. In Operational Technology the word security and safety are synonymous with each other. It is reality that many of the industrial security standard also incorporate equipment, instruments and safety recommendation by experts thus lay the foundation of IoT security. This paper provides a historical perspective of Operational Technology security, the security system measure, how over a period of last few decades the subject matter has evolved, what are few of the real challenges industry is facing. The final phase of paper focuses on some of the real practical measures and steps have been to taken to in creating more safe and secure industrial environment including best practices in creating synergy between Information Technology networks security and old aged legacy industrial environments.
Non-invasive haemoglobin measurement among pregnant women using photoplethysmography and machine learning
Authors: Lakshmi M. , Manimegalai P. , Bhavani S.
Published: January 2020

Estimation of haemoglobin(Hb) using non-invasive methods has caught wide interest among researchers all over the globe. Among the various devices and methods adopted for non-invasive haemoglobin (SpHb) measurement, prediction of SpHb using PPG can provide earlier and faster diagnosis. The primary objective and motivation of this study is to assess the efficiency and effectiveness of SpHb monitoring among pregnant women using PPG and generalized linear regression technique. PPG signal was acquired from pregnant women with prior consent and Hb was predicted from the time-domain attributes of PPG. Hb value as calculated by the invasive lab methods was compared with the predicted SpHb value. The absolute bias between the SpHb predicted and Hbrefwas 0.73 g/dL (SD 0.62). To analyse and evaluate the performance of the proposed word, correlation coefficient between SpHb and Hblab, was calculated using IBM SPSS software.
The Application and Improvement Discussion of Gossip in NoSQL Databases: Taking Cassandra as an Analysis Example
Authors: Qian Yichen
Published: January 2020

The application of gossip in NoSQL has a promising future and has significant academic value. By using gossip, a large storage system can be more scalable and stable with better fault-tolerance. This study takes Cassandra as an example to study the advantages of applying the gossip protocol in NoSQL by comparing with the conditions of using other protocols, such as Flooding algorithm and Structured Broadcast algorithm. To improve the efficiency and scalability when the size of individual gossip populations is limited, the author proposes a reconciliation mechanism named weighting. This study reveals that the gossip protocol in Cassandra contributes to linear scalability with limited individual gossip populations by implementing a simulation of gossip transmission rounds.
Verification and analysis of mobile communication network simulation method based on reverse coverage test
Authors: Liu Yunyu , Yu Ming
Published: January 2020

The common mobile communication network simulation method is to use the terminal to measure the downlink data of the base station and carry out the coverage simulation analysis of the mobile communication network. The test workload is large, the labor cost is high, and the accuracy deviation is large.The distributed base station is used to test the uplink data of the terminal, and the wireless link algorithm is used to carry out the coverage simulation analysis of the mobile communication network, so as to collect big data and high precision. Combined with the high-speed distribution processing capacity of the new generation of mobile communication network, the network test, simulation and analysis can be completed.Through verification and comparison, this method has many data sampling points, good real-time performance and high accuracy, and provides technical support for future automatic network planning and intelligent network optimization.
Research on Vehicle Parts Defect Detection Based on Deep Learning
Authors: Liqun Wang , Jiansheng Wu , Dingjin Wu
Published: January 2020

At present, automobiles have become a common means of transportation, but with the increase of vehicles, safety issues have gradually emerged. Therefore, the assembly, manufacture and production of vehicles require systematic testing and rigorous inspection. Therefore, defect detection of vehicle parts is particularly important. Vehicle parts defect detection has evolved from manual detection of traditional classification methods to machine vision methods. In this paper, the deep learning method is used to firstly detect the defects of vehicle parts through the training of VGG16 network structure model. The accuracy rate is 94.36. Secondly, the VGG16 network structure model is improved. By introducing the inceptionv3 module, the width of the model is increased on the basis of depth, the image is better recognized with an accuracy of 95.29. However, the accuracy of the traditional HOG+SVM classification method is only 93.88, and the efficiency of both methods is higher than that of the traditional method.
Application of analogy method in teaching electromagnetic field and electromagnetic wave theory
Authors: Wang Xiu-min
Published: January 2020

Firstly, this paper puts forward an effective analogy teaching method for electromagnetic field and electromagnetic wave theory on the basis of analyzing the teaching characteristics of this course. Then, several aspects of analogy teaching method can be applied in this course are discussed. Finally, the analogy of boundary conditions is taken as an example to illustrate how to use analogy method in practice teaching. It also summarizes several problems that need to be paid attention to when using analogy method in teaching.
Enhanced Adaptive Successive-Cancellation List Decoder
Authors: Jing Ren , Cheng Fengyi
Published: January 2020

Adaptive successive cancellation list decoder (ASCLD) with upsizing scheme as a well-known approach can significantly reduce the average list size of SCL algorithm for polar codes with cyclic redundancy check (CRC). Since it needs to re-decode the whole received bits if no survival path verifies CRC, it dramatically increases the decoding latency. In this paper, a segmented ASCLD is proposed to reduce the decoding delay of ASCLD, which deals with the multi-CRCs concatenated polar codes. Unlike the normal ASCLD, once all the survived paths of one decoding partition cannot pass its corresponding CRC, a new decoding attempt is immediately initiated with larger list size. Moreover, based on analyzing the performance of the proposed system, a series of optimization strategies are used to improve the performance. Simulation results show that the proposed scheme can greatly reduce the delay of upsizing ASCLD without performance loss.
The Method of Collaborative Allocation of Slots and Trajectories Based on Route Resource
Authors: Tian Wen , Yang Fan , Guo Yixing , Song Jinjin
Published: January 2020

In order to solve the problem of cooperative allocation of route resources in the case of congestion or bad weather, this paper proposes a two-stage time slot coordinated allocation model. The two phases will be considered separately from the air traffic control department and the airlines, with the lowest total delay cost of the affected flights and the average flight delay cost between the airlines tend to be the same. In order to verify the model, this paper intends to use the greedy algorithm to solve. The validity of the model is tested by the simulation data of the route, so as to achieve the goal of balancing multiple flow constrained areas and improve the operation efficiency of the route.
Research on Optimization of Industry-University-Research Cooperation Based on Enterprise Incentive
Authors: Chen Lu , Wu Jie , Sheng Yongxiang , Hu Jun , Shi Qinfen
Published: January 2020

Enterprise incentive is an important means to stimulate the enthusiasm of university research and development and promote the innovation and development of enterprise. The paper constructs different game models of industry-university-research cooperation and innovation, and analyzes the stability of the models. The paper also analyzes the cooperation process between enterprise and university and the optimal incentive coefficient of enterprise through the example and numerical simulation of industry-university-research cooperation, and studies the optimization effect of enterprise incentive on industry-university-research cooperation. The conclusion is as follows: enterprise incentive has positive influence on industry-university-research cooperation and innovation, and can improve the efficiency of industry-university-research cooperation and innovation. The size of enterprise incentive has an “inverted u-shaped” influence on the innovation of industry-university-research cooperation, and there is a threshold value.
Design of University Evaluation System based on Big Data
Authors: Wu Ji
Published: January 2020

In the practice of early university evaluation, due to the backwardness of information technology and evaluation methods, the following problems were brought about: the social needs were neglected, the evaluation subject was single, the evaluation method was simple, and the evaluation data source was single. In the paper a big data model of university evaluation is presented, which studies the educational activities from 8 dimensions: core performance, innovation ability, teamwork, resources, audience willingness, parental evaluation, employer evaluation and social contribution. The model takes account of long-term, short-term factors, individual and overall factors, internal and external factors, educators and audience factors, etc., and carries out omnidirectional analysis. Every dimension is analyzed from 2 aspects: positive and negative. Then based on the model, an University Evaluation System based on Big Data (UESBD) was designed and implemented. Finally, the software was used to analyze the data of 20 colleges and universities from multiple dimensions to evaluate the educational activities of education.
The tail risk measurement of bitcoin price fluctuations under strict supervision - based on GPD distribution
Authors: Wang Juan , Tian Feng
Published: January 2020

The research interval is divided into three intervals according to the date of occurrence, “China announced to shut down bitcoin exchanges” and “American Securities and Exchange Commission published the announcement of non-standardization of digital currency exchanges”. And the Generalized Pareto Distribution is used to measure the tail risk of bitcoin price fluctuation in the three intervals. It is found that the Generalized Pareto distribution can better fit the thick tail of the bitcoin yield, and the risk of price fluctuation in the three intervals presents a change of “low-high-low”.
Index System of Fashion Week Vitality Evaluation
Authors: Ding Jiahui , Liu Xiang , Yu Lei , Xi Zhenghao , Yuan Rong
Published: January 2020

The fashion week is a symbol of the fashion world. At the same time, it is the leading international platform for product design, brand influence and fashion promotion. It has the leading role of the fashion industry “wind vane”. In order to accurately measure the development level of the global fashion week, this paper compiled the fashion week vitality evaluation index system through scientific indicator design and detailed objective data. This paper takes fashion data, media data and consumption data as the core, follows the design principles of the index system, combines the characteristics of the fashion week to select indicators, scientifically collects data and adopts the analytic hierarchy process, and finally establishes a scientific fashion week vitality evaluation system.
Current Situation Statistics and Macroeconomic Policy Analysis of China’s Energy Consumption Structure
Authors: Jin Jing , Yu Zipeng
Published: January 2020

With the sustained and rapid development of China’s economy, the energy problem is more prominent. China’s total energy consumption has increased sharply, and its dependence on coal is relatively high. This has also brought serious environmental problems, which will become one of the main reasons restricting China’s economic development. Although the introduction of relevant policies has also achieved certain effects, energy big data is not only the in-depth application of big data technology in the energy field, but also the deep integration of energy production, consumption and related technology revolution and big data concept, which will accelerate the development of the energy industry and Business model innovation. At present, China’s energy supply and demand as a whole are stable, the structure continues to be optimized, and comprehensive analysis gives relevant development suggestions.
Research on Forecast of Beijing Housing Price based on Spatial Gray Markov Model
Authors: Chen Xingxing , Qiu Juliao , Wu Yanke
Published: January 2020

In recent years, with the continuous advancement of the economy, the real estate industry has developed rapidly, which has led to the persistent rise of housing prices. How to understand the changing trend of housing prices reasonably and formulate corresponding policies to effectively control them has become a social problem for the government departments. However, to maintain the housing development, it is critical to monitor and predict housing prices accurately so as to support the decision-making process in the housing field. Based on the actual data of housing prices from January 2018 to March 2019 in Beijing, this research has built a model named Spatial Gray Markov Model, through combing the gray GM (1,1) prediction, and other models, to predict the housing price in Beijing. And the result shows that the Spatial Gray Markov Model is much better than the other models in forecasting, and we get a better outcome that the error and accuracy of the predicted has improved and its accuracy is increasing of 0.31% compared to that of the Grey GM (1, 1) prediction value.
Blockchain-Based Identity Authentication and Intelligent Credit Reporting
Authors: Zhu Xingxiong
Published: January 2020

This paper elaborates on the blockchain-based identity authentication and intelligent credit reporting method. The technologies of multidimensional authentication, multifactor weighted score calculation, security threshold, distributed ledger, smart contract and encryption algorithm are proposed to realize dynamic identity security authentication and intelligent risk control. The user behaviour analysis system, real-time risk identification system and intelligent risk prevention system are constructed. The multidimensional credit data collection is realized through blockchain distributed nodes. The distributed ledger of credit reporting, intelligent pricing of assets and automatic credit rating of users are proposed. It realizes credit reporting system and service based on multidimensional data, distributed ledgers, and smart contracts.
Asymptotic estimates for ruin probabilities of a discrete-time risk model with dependence structures
Authors: Jing Hao-jie , Peng Jiang-yan , Jiang Zhi-quan
Published: January 2020

We study a discrete-time risk model of double dependence structures. The insurance company can make two investments, namely, risk-free and risky investments. The claim sizes follow a dependence structure, we assume that the dependence structure is one-sided linear process in which innovations is independent and identically distributed (i.i.d.), the innovations and financial risks are also form a dependence structure. When the distributions of the innovations belong to the intersection of the dominated-variation class and the class of long-tailed distributions, we derive some asymptotic formulas for the finite-time ruin probability.
Research on game cooperation strategy of supplier and retailer information sharing
Authors: Dai Debao , Shi Yanyan
Published: January 2020

Information sharing between suppliers and retailers is an effective way to improve the overall benefits of the supply chain. This paper uses game theory to construct an evolutionary game model of whether or not suppliers and retailers cooperate in information sharing. The research results show that the key factors affecting the selection of cooperation strategies between the two parties are risk costs and market revenue increments. The proposal for improving the cooperation between the two parties is to strengthen supply chain cooperation, establish a comprehensive information-based supervision platform, and rationally distribute income.
Numerical study on the influence of initial conditions on quasi-periodic oscillation of double pendulum system
Authors: Yao Yupeng
Published: January 2020

The double pendulum system is a common and typical model to investigate nonliner dynamics due to its various and complex dynamical phenomenon. In this paper, the effects of several parameters on the system was studied, such as the length and the initial release angle of the pendulums. Though the Swing length - frequency diagram, the details of ocsillation was researched and a non-smooth inflection point was observed on the curve.
Analysis of the Douban online review of the MCU: based on LDA topic model
Authors: Xu Aiting , Qi Tianxing , Dong Xinzhi
Published: January 2020

With the rapid development of the Internet and the movie industry, online reviews have shown explosive growth. Online review data contains a lot of valuable information, through text mining techniques such as the LDA topic model to analyze this information, to help the movie creators to understand the public’s viewing needs, movie production team to reflect on the shortcomings in the production process, in order to promote the development of the movie industry to provide a reference. In this paper, the Douban online review data of the MCU are used as the research object, and the Chinese text is analyzed based on the LDA topic model. Firstly, data collection and preprocessing are carried out with various software. Then, the word cloud is used to visualize the core information in the online review data, and then the LDA topic model is used for a deeper semantic mining. The research results show that the rich and varied plot design, the audiovisual feast brought by advanced digital technology, the clever connection of bonus scene, the unique characters and actors and a super-hero’s commercial movie mode are closely related to the success of the MCU.
Discrimination of molten pool penetration based on genetic algorithm optimization of BP neural network
Authors: Chang Boxue , Huang Jingyue
Published: January 2020

The metal spatter and light intensity of CO2 welding in the vicinity of the melt pool during the short transition of the melt droplet seriously affect the realtime and reliability of weld feature extraction. The mapping relationship between welding pool characteristic parameters and melting depth is established by using BP neural network optimized by genetic algorithm. The results show that the training results and test results of the optimized BP neural network model of genetic algorithm have little error and meet the requirements of precision. The model can well reflect the relationship between the melting depth and the characteristic parameters of the melting pool.
The Protection of Database Copyright in the Era of Big Data
Authors: Yali Cheng
Published: January 2020

The development of computer technology, mobile intercommunication, cloud computing and Internet of things embraces a limitless prospect for the application of big data. The paper reviews the definition of big data and summarizes the design features by proposing “the Five-Star Feature Model”. The paper then takes the protection of English corpus constructed in China as one special kind of big data to demonstrate the necessity of establishing a comprehensive protection legal system by revealing the setbacks of the Copyright Law in China. With reference to academic literature in China and other regulations in Western countries concerning copyright protection of database, the author finally recommends the complementary use of Law of the PRC against Unfair Competition for the commercial use of these corpora and further proposes to set a new special database right to guarantee the balance of copyright protection and public use of these big data.
Construction of Enterprise Accounting Risk Control Based on Information Technology
Authors: Zhangmin
Published: January 2020

With the rapid development of economic globalization, the competition within the industry is more intense. Economic integration has put forward more requirements for enterprise development. If enterprises want to maintain their core competitiveness, they must constantly carry out innovation in management mode. Accounting work is the core content of enterprise management, and it faces new challenges in the context of informationization. The use of information-based accounting work management mode can effectively improve work efficiency. However, the use of new technologies will inevitably bring operational risks and operational risks, so companies must strengthen the risk control of information systems. Ensure the safety of corporate accounting information and lay a solid foundation for the sustainable development of enterprises. This paper mainly discusses the construction of enterprise accounting risk control ideas under the conditions of informationization, and puts forward opinions and suggestions based on the actual situation.
Research Progress of University Psychology Based on Big Data------discovery, challenges and opportunities
Authors: Yun Liu
Published: January 2020

Big-Data, also known as mass data, refers to a large scale of data involved, which can not be intercepted, managed, processed and collated into information that can be interpreted by human beings in a reasonable time1. It is widely believed that big data only refers to that the scale of data is large. In fact, this is not the case. Big data needs to meet three characteristics: large capacity, fast speed, and rich types. Only when these three conditions are met concurrently can it be called big data2.

The Outline for the Promotion of Big Data Development issued by the State Council in 2015 defines big data as follows: Big data is a collection of data characterized by large capacity, multiple types, fast access speed, and high application value. It is developing rapidly to be the new-generation information technology and service industry that collects, stores and correlates large amounts of data with dispersed sources and diverse formats, so as to discover new knowledge, create new value, and enhance new capabilities3.
Casing Damage Classification Method Using Random Forest Algorithms
Authors: Xue Jijun
Published: January 2020

The classification of casing damage is one of the important links in casing damage detection. Due to the large number of feature parameters of casing damage, the classification accuracy and the generalization performance of decision tree is poor. Therefore, for improving the prediction accuracy of casing damage classification, considering the data type of oil and gas well casing damage, the paper proposed a casing damage classification method based on random forest algorithms to predict the casing damage classification. The experiment results show that, the prediction accuracy of the method is 95%, which proves the accuracy and reliability of the casing damage classification method using random forest algorithms.
Methods for Increasing the Speed of the Analog Interfaces for Physical Quantity Sensors Based on Radiation-Hardened and Low-Temperature Technologies
Authors: Bugakova A V , Ivanov Y I
Published: January 2020

The main circuitry methods for improving dynamic parameters in the large signal operation of the analog sensor interfaces (ASI) used in the instrumentation and automatic control systems are compared in the article. It is shown that the existing methods for increasing the slew rate (SR) of the ASI based on the operational amplifier (OA) are associated with the increase in the gain-crossover frequency of the OA due to the higher-frequency technologies (i.e., SiGe), or with the expansion of the range of active operation of the input subcircuit included before the integrating capacitor of the OA. A method for increasing the SR of the inverting ASI with an OA input stage of the dual-input class is proposed. The basis of the method lies in the introduction of two differentiating correction circuits (DCC) into the classical OA circuit, which in the large signal operation form additional overcharge currents of the integrating capacitance of the OA correction. In this case, the DCCs practically do not affect the low-signal amplitude-frequency characteristic of the OA. Such OAs have low current consumption in static mode and can be performed on the basis of standard processes, including radiation-hardened and low-temperature ones (CMOS, SOI, SOS, BiJFet, BJT, SiGe and others). The BJT OA computer simulation results show that the inverting ASI SR increases from 170 to 1800 V/μs. We consider the promising architectures of the high-speed OAs with the DCCs providing an increase in the SR in both inverting and non-inverting ASIs. The proposed ASI circuitry is designed to be used in automation devices and control systems, including nuclear and energy facilities.
Modeling the Dynamics of the Local Chromium-Nickel Steel Dissolution Process
Authors: Tazieva R F , Vinogradova S S
Published: January 2020

Analytical and simulation models of pitting corrosion on chromium-nickel steels under galvanostatic and potentiostatic polarization conditions are proposed. Under conditions of galvanostatic polarization three modes of local metal dissolution have been found. The labeled state graph which shows the transitions of a system from one dissolution mode to another has been offered. The values of stable pit formation time have been calculated. The additional model parameter «fraction of the pits being passivated» applied to establish the correlation between pit initiation and pit passivation rates in a stochastic model is proposed. It explains the variable dependence of a polarization potential on a pit repassivation rate.
The mechanism for implementing new forms of interaction and management of rural territories: economic and legal aspects
Authors: Bukhtiyarova T I , Hilinskaya I V , Ilyinykh A V , Tenetko A A
Published: January 2020

New models for organizing agricultural production and management are the basis for the stability of rural development trends in the long term. The study presents the main directions of improving institutional environment of government, business structures and population in order to ensure the economic growth of agro-industrial complex and rural territories. The authors propose to consider changes in the methodology for assessing the organizational and economic potential of rural development as a direction for improving the system of managing rural areas. The authors consider the algorithm for assessing the rural territories development, which include characterizing certain aspects of rural territories socioeconomic development, their comparative analysis, integrated assessment, selecting factors of changes in the rural territories socio-economic development and forecasting the parameters of this development. The degree of effective interaction between the subjects made it possible for the authors to highlight two basic models of interacting between state power, business and population of the territory: territories with great growth potential and territories in which there are significant reserves for growth in this direction and territories for which it is important to mobilize the state’s efforts and the private sector in order to search for innovative sources of development stimulation and the population life quality.
The influence of composite flour mixtures on Saccharomyces cerevisiae biotechnological properties and bread quality
Authors: Krasnikova E S , Krasnikov A V , Babushkin V A
Published: January 2020

Increased consumer attention to healthy nutrition imposed the need for the development of diverse products with partial supersedence of wheat in flour mixture. Both nutritional value and sensorial attribute of the bread primarily depend on the yeast biotechnological properties. The aim of the research was studding the influence of flour composite mixes from wheat, lentil and millet flours in different proportions on biotechnological properties of baker’s yeast. According to our data, multi cereal bread with 5-10% lentil/millet flour addition had better sensory qualities than traditional wheat bread. But introduction of 20% or 30% lentil or millet flour into the flour mixture had the best stimulating effect for the yeast growth. Thus, the addition of average volumes of lentil or millet flour was accompanied by an increase in yeasts’ rising power 5 times, while introduction of 40% lentil flour and complex three-component flour mixture formation reduced the specific growth rate of Saccharomyces cerevisiae by 1.5-2 times compared with the control. In addition, the best physico-chemical parameters were recorded in samples, containing 30% millet or 30% lentil flour.
The dynamics of the decrease in the strength of wood-cement compositions in soil conditions
Authors: Dolmatov S N , Kolesnikov P G
Published: January 2020

The intensive felling of plantations, in the process of logging, leads to a decrease in the forest area, reducing their quality. Natural and artificial reforestation is the work aimed at compensating the reduction of forest area. Reforestation with seedlings with a closed root system in containers is a modern trend used worldwide. The article is devoted to the study of the properties of wood-cement composite material in relation to the possibility of its use for the manufacture of biodegradable planting containers, mainly for large-sized planting material. As a result of experimental studies, strength properties and dynamics of their decrease depending on the time of the material in natural soil conditions are determined. The reduction of the compressive strength of the material from 3.36 MPa to 1.65 MPa for 42 months was found.
Comparison of water-physical and microbiological properties of apple orchards soils with indicators in other agricultural lands
Authors: Zakharov V L , Morgacheva N V
Published: January 2020

The aim of the research is to compare the physical properties and biological activity of the soil in apple orchards with the soils of other lands: strawberry, chokeberry, black currant plantations, field crop rotation, forest plantations, and deposits. In apple orchards, in a layer of 0-40 cm row-spacing, there is a relatively low content of agronomically valuable, water-resistant aggregates, and the lowest moisture capacity. Due to the significant accumulation of snow in the garden and the annual leaf fall of the apple tree in the trunk strips, the same high cellulolytic activity is maintained as in other woody phytocenoses.
The indicator system of sustainable development in rural territories as a tool of strategic region planning
Authors: Shaporova Z E , Tsvettsykh A V
Published: January 2020

Rural territories have special socio-economic, socio-demographic and recreational importance for the development of Russian. The need to ensure food security, improve the level and quality of the country population requires solving the problem of sustainable development in rural territories. The development of a methodology for strategic planning of rural region development involves the justification and selection of anindicator system of sustainable development, which requires special research. The actuality and practical significance of the highlighted problem became the basis for the formulation and solution of the following tasks by the authors: disclosure of the ecological, social and economic essence of rural territories; characteristics determination of sustainable development in rural territories; factors determination and systematization of sustainable development in rural territories. As a result of solving these problems, the authors justified the indicator system of sustainable development in rural territories, corresponding to the selected features and taking into account the factors of sustainable development in rural regionterritories.
The personnel competence qualification formation in the agro-industrial complex production systems: managerial aspect
Authors: Frolova O Y , Fomina L V , Shmeleva Zh N
Published: January 2020

The employee’s labor potential is not a constant value; it is permanently changing. Human performance and employee’s creativity are accumulated in the course of employment, they increase in the course of knowledge and skills development and improve due to work and life conditions changes. The formation of the competence approach is generalized. The role of the labor categories “competency” and “competence qualification” of personnel in the application of professional standards in the agro-industrial complex production systems functioning is clarified. The analysis of requirements to the employee’s labor functions is given. Professional standards are important for the education sector as a basis for the formation of federal state educational standards and educational programs at all levels of professional education, the development of methodological materials and the choice of training forms and methods in the professional education system. The use of personnel competent qualification in the development of agricultural production systems is directly related to changes in the labor nature and content, availability of vocational training and education. The conclusion requiring the employer to conduct employees’ retraining is made, as it is a condition of implementation of core activities and expansion of the organization innovative receptivity. Based on this, the personnel competence qualification is considered to be the main category in personnel management. The research results generalize the conclusion about the development of production systems based on quality management system, taking into account the expenses for personnel – training of organization’s key employees at the employer’s expense
State financial support for agricultural sector in region
Authors: Kolesnyak A A , Naydanova E B , Polyanskaya N M , Kolesnyak I A
Published: January 2020

The paper addressed the problems related to the state financial support for the agro-industrial complex to ensure the effectiveness of the industry. An example of foreign experience in supporting the agricultural industry is presented. The effectiveness of the implementation of the State Program for the Development of Agriculture and Rural Territories is analyzed on the example of one of the Russian regions; the role of the agro-industrial complex in the region is indicated. It has been defined that since the State Program introduction, for some indicators, the planned level has not been achieved, which to some extent indicates the lack of effectiveness of the industry as a whole. The identified problems of the process of implementing the state support program for the agro-industrial complex make it possible to outline the main directions of development of its mechanism.
Bioindication potential of conifers for environmental assessment
Authors: Aleksandrova E Yu , Trotsenko A A , Minchenok E E , Kovaleva T O , Katansky A A
Published: January 2020

The paper presents the results of a study of the state of the environment in the area of the Kola Mining and Metallurgical Plant using a bio-indicator of the Siberian spruce needles (Picea obovata). The following deviations in the morphometric parameters of Picea obovata needles were found: a decrease in the length and width, a reduction in the total surface, different types of damage and wilting. In areas with a more intense impact, a regular increase in the average percentage of damaged plants is observed compared to baseline samples. The state of the environment for the suppression of the Siberian spruce needles was assessed as “satisfactory” and “good”.
The use of gymnosperms in urban landscaping of the dry steppe zone
Authors: Tokareva T G
Published: January 2020

The role of gymnosperms in green urban environments is analyzed. The protective qualities of coniferous species are highleghted. The assortment of evergreens at landscape objects of general and special purpose is presented. Species for the creation of dendrological groups with phytoncidal properties are recommended.