bluuebunny/crossref_metadata_2025 huggingface dataset:
Stochastic simulation of the micro-meso transition in the evolution process of defective structure in loaded high-strength material
Authors: Nasonov A N , Baranov V P
Published: January 2020

Based on synergetic principles and statistical approach, mathematical modeling of the micro-meso transition in microdefects accumulation process in loaded high-strength material has been performed. The stochastic model of submicrocracks system evolution in the material at micro level has been constructed. The computational experiment has been performed for the case of uniaxial plastic deformation of structural steel 30HGSA. Calculated submicrocracks density curves for different degree of the system non-additivity, characterizing the material structure ordering degree, have been presented and analyzed.
Quality assurance of sheets rolling on the basis of modeling the destruction process, plastic restructuring the structure of the material of the slab and the acoustic emissions parameters
Authors: Nosov V V , Shipachev A M , Palaev A G , Grigorev E V
Published: January 2020

The problems of modeling the fracture process under conditions of plastic restructuring of the material structure, the transformation of the strength state of the material of plastically deformable workpieces into the state of the product material, the acoustic emission assessment, which determines the defectiveness of the final product of the predisposition of the workpiece defects to development during the rolling process, are considered.
Analysis of the effect of equal-channel angular pressing on the strength and electrical conductivity of low-alloyed alloys of the Cu-Cr-Zr system
Authors: Chembarisova R G , Sarkeeva E A , Alexandrov I V , Wei Wei
Published: January 2020

The effect of equal-channel angular pressing (ECAP) on the strength and electrical conductivity of low-alloyed Cu-Cr-Zr alloys to identify conditions for the formation of states with high strength and electrical conductivity is considered. The increase in the content of alloying elements does not increase the strength of the alloys in the initial quenched state. After ECAP, their strength is increased by dislocations. It is shown that after ECAP of quenched samples, their specific resistances remain almost unchanged due to the increase in the length of the grain boundaries, the volume fraction of small particles of secondary phases and the segregation of alloying atoms from the matrix.
Indentation creep of superelastic hard carbon
Authors: Chernogorova O P , Drozdova E I , Lukina I N
Published: January 2020

Instrumented indentation methods have been used to study the effect of the loading rate and holding time at different maximum loads on the indentation characteristics of superelastic hard carbon particles reinforcing metal matrix composite materials. The properties of the carbon particles prepared in fullerite-metal powder mixtures by high-pressure synthesis substantially differ as a function of synthesis parameters (P, T) and the initial fullerite characteristics (C60 in crystalline or amorphous state). The indentation creep C
IT decreases with increasing F
max (500-2000 mN) and increases with holding time (60-600 s). The harder carbon particles formed from amorphous fullerite are characterized by higher indentation creep CIT and deeper penetration at constant load. Such creep behavior correlates with different elastic recovery characteristics of the particles upon indentation.
Observatory case study on total harmonic distortion in current at laboratory and office building
Authors: Mohd Radzi M Z , Azizan M M , Ismail B
Published: January 2020

This paper discusses the level of harmonic distortion in current power distribution system for laboratory and office building. These two places often house a significant number of equipment such as computers, air conditioners, etc which are significant nonlinear loads. The high number of these nonlinear loads affects the quality of the power system and energy at the linked grid. This is due to harmonics components in current that is resulted by the conversion and switching processes by the nonlinear loads. This case study is located at main operation buildings at School of Electrical System Engineering, Universiti Malaysia Perlis at Pauh Putra Campus. This case study is intended to study the severance level of harmonics in current distortions at the said power distribution system. The tool used for data mining and analysis is the Fluke 1750, which records the data for 30 days. The analysis includes the level of harmonics in current at the point of common coupling at the power distribution system. It is benchmarked against relevant standards related to harmonics in current and power quality in grid. It is found that the harmonic distortion level exceeded the maximum value set by standards. This highlighted that the quality of power at this grid is low and results in losses of energy
Transient stability for IEEE 14 bus power system using power world simulator
Authors: Anuar Aminudin , Wahab M A A , Arshad S N M , Romli M I F , Bakar A H A , Bakar M A A
Published: January 2020

Nowadays, demand for electricity is increasing every single day. This is due to the deep requirements in current economy. Generating electricity is an important element to ensuring a system operates in good condition and not being affected. At the same time, some problems have arisen as a phenomenon of transient stability. Hence, analysis needs to be done to control energy stability in rivalling current demand. Power system stability can be further divided into 3 sub-analysis starting with rotor angle stability which is the ability of synchronous machines of an interconnected power system to remain in synchronism after being subjected to a disturbance, voltage stability which is the ability of a power system to maintain steady voltages at all buses in the system after being subjected to a disturbance and also frequency stability which the ability of a power system to maintain steady frequency following a severe system disturbance resulting in a significant imbalance between generation and load. This analysis is used the IEEE Bus System 14 and analyzed using Power World Simulator (PWS) software. The variations in power angle, bus voltage and system frequency were studied with the help of three-phase balanced fault. Fast fault clearing times were analysed for a three-phase balanced fault in order to re-establish the stability of the system. Furthermore, impact of fault location on system was also computed to observe whether it affected the stability of the systems.
Maximum efficiency scheme using superimposed and Taguchi method wireless charging for mobile phone
Authors: Hanif M H M , Fahmi M I , Wai C L , Aihsan M Z , Aminudin Anuar , Zhe L W , Zakariya MZ
Published: January 2020

The magnetic resonance inductive coupling energy transfer from transmitter to receiver is designed in this project through magnetic inductive coupling. The transmitter sends energy through induction to the electrical devices from the transmitter to the receiver and then stores the energy in the batteries. Because the transmitter coil has a gap with the receiver coil. This wireless charging using two methods to show the output, first using the Taguchi Method and second using Superimposed Technique. The Result shows that output voltage must high than the input voltage and the same at secondary coil because using the same number of turns. The output voltage at the voltage regulator shows the output must in 5 Volts to charging the mobile phone with high efficiency.
THD analysis for symmetrical five level and seven level cascaded multilevel inverter
Authors: Kaja Mohideen Fahimah , Ashbahani Mohamad Kajaan Nor , Mat Isa Zainuddin , Mohd Nayan Norkharziana , Hafiz Arshad Mohd , Shema Saad Saidatul
Published: January 2020

Total Harmonic Distortion (THD) is one of the problems in the multilevel inverter. This paper discussed a brief review of THD in different cascaded H-bridge multilevel inverter topologies of five levels and seven levels at the output waveforms. The five levels inverter contains eight switches while seven levels inverter used twelve switches. Each single H-bridge inverter circuit is fed by equally independent DC source for both inverters. The inverter uses MOSFET as the switching point and acts as the controller for a fundamental switching operation. The switching value has been set at the gating block to control the operation of the MOSFET switching. Several waveforms and simulation findings are provided to validate the quality of the proposed topology.
Identification of aircraft aerodynamic derivatives based on photogrammetry and computational fluid dynamics
Authors: Aati S , Nejim S
Published: January 2020

Nowadays, Computational Fluid Dynamic (CFD) analysis is one of the most affordable techniques to determine the aerodynamic characteristics of an aircraft. It allows a development of advanced flight controllers. However, the accuracy of this technique depends on the input parameters such as the solid model. This paper describes a methodology to estimate aerodynamic derivatives of a Cessna 182 aircraft based on solid model established by using photogrammetry technique. 312 images have been taken using Canon D750 camera with a 24 mm lens. A dense point cloud of the aircraft was generated using MicMac photogrammetry software. Then, the aircraft 3D-geometry was extracted in order to create the CAD model. Afterwards, parameters such as lift and drag coefficients were estimated at different angles of attack using Ansys Fluent software. The simulation results show that the lift and drag increase up to stall angle, then the lift starts to decrease. These results matches the theoretical ones.
An experimental work on effect of bending down conductor with reinforced concrete
Authors: Ariffen A M , Arshad S N M , Ab Kadir M Z A , Jasni J , Halim N. H
Published: January 2020

Down conductor is one of the pivotal parts of the Lightning Protection System (LPS) that diverting the lightning current captured by the air termination system to the earth termination system in each protected structure. A straight down conductor, is ideally suited for the best-case scenario regarding reliability and safety protection. One to aesthetical aspects, down conductor is undesirably bent in most current buildings. However, only the primary bare type of a down conductor is undergone such process, and bent at a certain degree which depending on the structure itself. Hence, this study is to investigate the bending degree effect on down conductors, by looking at breakdown voltage around the bent area with the presence of concrete wall and reinforcement bar. This experimental work conducted on a reduced scale of reinforced concrete which tested with high impulse voltage. It was determined that the bending down conductors has a significant effect on the bent (vertex) area with the interaction of concrete wall and reinforcement bar.
The simulation analysis of piezoelectric transducer with multi-array configuration
Authors: Ahmad Kamil Zainal Abidin Nik , Mohd Nayan Norkharziana , Azizan M M , Ali Azuwa , Hussin Nuriziani , Azli N A , Nordin N M
Published: January 2020

Low frequency energy harvesting using piezoelectric is one of promising method on harvesting energy from a free source. This method offered powering low load and remote device application. However, due to its nature which is inconsistency in providing the magnitude of input, specifically in low frequency harvesting, better solution to stable up and increase the converted output is explored widely. There are a few parameter that influences in the piezoelectric output generation. These parameter includes the type of piezoelectric, piezoelectric array configuration, AC-DC converter and etc. The types of the piezoelectric used in this project are the circular piezoelectric. When there is a force (motion) exerted on the piezoelectric disk, electrical charge was produced which initiated the energy conversion. In this research, the configuration of array connection for piezoelectric were investigated. The system is tested with different load configuration in a range of 10 kΩ to 1 MΩ. The design and development of the piezoelectric array variant were series (S), parallel(P), series parallel (SP) and parallel-series (PS). The observation emphasized on finding the best types of piezoelectric array configuration in producing optimum output of the harvested power. The simulation part consists of designing, simulating and analysing the result are done by using PSIM software. For validation of the simulation result, the implementation design of the hardware prototype that supplies pressure to piezoelectric have been done. In conclusion, a proper implementation of piezoelectric array configuration will produce optimum power output which can fulfil the minimum requirement of energy for powering low load device.
Photovoltaic powered DC-DC boost converter based on PID controller for battery charging system
Authors: Irwanto M , Leow W Z , Ismail B , Baharudin N H , Juliangga R , Alam H , Masri M
Published: January 2020

The input voltage of battery charging system is always above the battery nominal voltage and it should be remained constant. But it depends on the type of input voltage sources. A battery charged directly by photovoltaic (PV) module as the input voltage source can cause the output voltage of PV module or the input voltage of battery charging system can fluctuate, because the output voltage of PV module depends on the solar irradiance. This problem can be solved by installing DC-DC boost converter between the PV module and battery. This paper presents a DC-DC boost converter based on PID controller for battery charging system. It is designed for the input voltage of 12V and output voltage of 14.7V system because it is applied to charge a 12 V, 7 Ah lead acid battery. Based on the simulation result of battery charging system shows that the output voltage of DC-DC boost converter can be remain around 14.7 V. It is due to the PID controller can damp the voltage oscillation and remain its steady state voltage. The time needed by the DC-DC boost converter to charge the battery in the fully charging condition is 1 hour: 3 minutes: 37seconds.
Arduino based voice controlled wheelchair
Authors: Kian Hou Tan , Yagasena  , Chelladurai
Published: January 2020

A voice controlled wheelchair prototype was developed using a commercially available manual wheelchair to assist people with both upper and lower limb disabilities. An Arduino microcontroller processes the voice command from the speech recognition module and controls the motor movement of the wheelchair. Bluetooth module was also used to do away with messy wiring and an optional joystick command was also incorporated into the prototype design. The success rate of the wheelchair to recognize the voice commands in English, Chinese and Malay was high. The overall cost of the prototype was kept low to make it affordable.
Disorder detection of tomato plant(solanum lycopersicum) using IoT and machine learning
Authors: Khan Saiqa , Narvekar Meera
Published: January 2020

India is an agricultural country and this sector accounts for 18 percent of India’s GDP. This sector is the backbone of the country and focuses on better yield by using pesticides and fertilizers to prevent plant disorders which directly affects the yield. The primary method adopted for detecting disorders is through visual observation and other methods are quite expensive. Many authors have proposed solutions to this problem such as IoT for grapes, or system designed for accurate disorder detection using machine learning with limited scope. This paper showcases a prototype that uses multi-modal analysis through sensor data, computer vision. The main objective of this system is to accurately detect disorders in tomato plant using IoT, Machine Learning, Cloud Computing, and Image Processing.
Reluctant IFS ideals of BCI-algebras
Authors: Balamurugan M. , Balasubramanian G. , Loganathan K. , Thamaraikannan N. , Ragavan C.
Published: January 2020

The notions of reluctant IF soft BCI-algebras (RIF SBCIAs) and reluctant IF soft ideals (RIF SIDs) are investigated. We will also establish relations between them with different examples.
Electrical Consumption Patterns through Machine Learning
Authors: Viloria Amelec , Senior Naveda Alexa , Hernández Palma Hugo , Niebles Núñez William , Niebles Núñez Leonardo
Published: January 2020

Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called “Smart Metering” has been adopted, giving way to new types of meters that interact in an interconnected system. This will allow to make data analysis, accurate forecasts and detecting consumption patterns that will be relevant for the decision-making process. This research focuses on discovering common patterns among customers from data collected by smart meters.
Method for Collecting Relevant Topics from Twitter supported by Big Data
Authors: Silva Jesús , Senior Naveda Alexa , Gamboa Suarez Ramiro , Hernández Palma Hugo , Niebles Núñez William
Published: January 2020

There is a fast increase of information and data generation in virtual environments due to microblogging sites such as Twitter, a social network that produces an average of 8, 000 tweets per second, and up to 550 million tweets per day. That’s why this and many other social networks are overloaded with content, making it difficult for users to identify information topics because of the large number of tweets related to different issues. Due to the uncertainty that harms users who created the content, this study proposes a method for inferring the most representative topics that occurred in a time period of 1 day through the selection of user profiles who are experts in sports and politics. It is calculated considering the number of times this topic was mentioned by experts in their timelines. This experiment included a dataset extracted from Twitter, which contains 10, 750 tweets related to sports and 8, 758 tweets related to politics. All tweets were obtained from user timelines selected by the researchers, who were considered experts in their respective subjects due to the content of their tweets. The results show that the effective selection of users, together with the index of relevance implemented for the topics, can help to more easily find important topics in both sport and politics.
A Comparative Study of Blockchain Consensus Algorithms
Authors: Wang Qianwen , Huang Jiehua , Wang Shen , Chen Yibo , Zhang Pan , He Li
Published: January 2020

A blockchain is a decentralized distributed public database. It does not have a central authority to maintain this public database by running a cryptographic protocol with distributed nodes. Bitcoin is currently the hottest item in the blockchain, and the Bitcoin node can verify the transaction content and package it into the block. The blockchain guarantees the consistency of the books through the underlying consensus agreement. These consensus algorithms are different because the algorithm security assumptions are different from the actual requirements. This paper sorts and compares various blockchain consensus algorithms, sorts out the development based on blockchain consensus, and points out the advantages and disadvantages of various algorithms, and proposes the development direction of blockchain consensus algorithm.

CCS Concepts

•Anonymity and privacy issues and measures to enhance them➝Consensus protocols for blockchains
A Rapid Road Image Mosaic Method Based on Monocular Camera
Authors: Li Wunan , Cao Yu
Published: January 2020

As an important infrastructure, road has attracted a lot of attentions in recent years. Most of current road information extraction methods rely on either elaborate algorithms or complex equipment. This manuscript proposes a simple and rapid image mosaic method to extract road surface based on a monocular camera. First, key frames are extracted to remove redundant information from image sequences. To eliminate perspective effect, extracted key frames are transformed into top view of road images based on inverse perspective mapping algorithm with the help of an attitude tensor. Then, a coarse-to-fine registration strategy is proposed to align all transformed key frames into a unified coordinate system. Finally, considering the specificity of transformed images, a superposing and overlapping image fusion strategy is proposed to alleviate the effect of stitching seam. The experiments are conducted on a road with the size of 128×17 meters, and the experimental results demonstrate the effectiveness and efficiency of proposed method. In conclusion, the proposed method is simple, effective and efficient and can be applied in a wide range of applications such as large scale road surface diagnose.
Person Recognition Based on FaceNet under Simulated Prosthetic Vision
Authors: Zhao Ying , Yu AiPing , Xu DanTong
Published: January 2020

Face information is important information for identifying people, but at low resolution, face information is not well recognized. A psychological physics experiment of person recognition in daily life was designed to discover the best strategy for the limited number of stimulating electrodes, and provide useful visual information. The real-time image-processing strategy based on FaceNet were used to optimize the person information by turning complex face information into simple Chinese character information. Noted that all processed target faces were obscured by separate Chinese characters which are the target people’s last names. The psychological results showed that the image-processing strategy based on FaceNet improved recognition accuracy. The proposed strategy, to convert complex face information into simple Chinese character information, could help subjects to use their own first knowledge to identify the person who need to be identified more faster and accurately.

CCS Concepts

•Human-centered computing ➝ Human computer interaction; •Computing methodologies ➝ Artificial intelligence ➝ Computer vision ➝ Computer vision tasks; •Social and professional topics
Trajectory Outlier Detection Algorithm for ship AIS Data based on Dynamic Differential Threshold
Authors: Shuang Sun , Yan Chen , Jinsong Zhang
Published: January 2020

Trajectory outlier detection is one of the most important branches of data mining topics. Most existing outlier detection algorithms only utilized location of trajectory points and neglected some important factors such as speed, acceleration, and corner. In this paper, we propose a trajectory outlier detection algorithm based on dynamic differential threshold, called TODDT. Considering the influence of target motion information in a period of time, TODDT improves the traditional distance-based algorithm by combining dynamic differential threshold into outlier detection to discover more meaningful trajectory outliers. The experiments with real trajectory data sets in ship AIS (Automatic Identification System) show that TODDT algorithm performs efficiently and effectively when applied to the problem of trajectory outlier detection and the quality of trajectory data is greatly improved.
Analysis on the New Progress of Spectrum Planning of IMT-2020(5G)
Authors: Kang Guoqin , Liu Han , Li Kai
Published: January 2020

In order to allocate reasonable spectrum resources above 6 GHz for 5th-Generation (5G) in China, this paper analyzes the new progress of upcoming World Radio Conference-2019 (WRC-19) agenda 1.13, the 3rd Generation Partnership Project (3GPP) 5G New Radio (NR), and Chinese 5G spectrum planning. It analyses the possibility of Chinese spectrum planning in several candidate frequency bands with Monte-Carlo simulation, including 24.75-27.5 GHz, 31.8-33.4 GHz, 37-43.5 GHz, 64-71 GHz, 71-76 GHz and 81-86 GHz. The compatibility is viable between mobile service (MS) and earth exploration satellite service (EESS), radio astronomy service (RAS), inter-satellite service (ISS) in 24.75-27.5 GHz. It’s likely to allocate 24.75-27.5 GHz to 5G in China. There is coexisting difficulty and adverse propagation condition in 31.8-33.4 GHz. It is almost impossible to allocate 31.8-33.4 GHz to 5G in China. It is compatible between MS and fixed-satellite service (FSS), EESS (passive) with additional isolation and out-of- band emission limitation in 37-43.5 GHz. It is possible to allocate 37-43.5 GHz to 5G in China.
Research on Dynamic Decision-making Hybrid Model of Pedestrian Flow Based on Deep Learning
Authors: Zhao Shuxu , Men Shiyao , Zhang Baohua
Published: January 2020

With the progress and development of China’s transportation system, pedestrian travel behavior and safety have received increasing attention. At the same time, controlling the population density and population movement in densely populated areas plays an important role in ensuring national security for the public security departments. Therefore, how to properly adjust the switching time of traffic signals has become an urgent problem. In view of the above requirements, this paper proposes a signal switching model based on deep learning for dynamic regulation of pedestrian traffic. The hybrid model is divided into three parts, named the real-time data acquisition part, the historical data analysis and prediction part and the decision model part. Firstly, the LSTM model is used for the analysis and prediction of historical traffic data with time series characteristics. Then, the real-time data acquisition adopts the lightweight and high-performance target detection model MobileNet-SSD proposed by Google. Finally, the signal switching decision model is proposed to analyze and determine the data provided by the above model, and two adjustment factors are defined to adjust the proportion of historical data and real-time data to the impact of decision results.

CCS Concepts

•Computing methods ➝Artifical intelligence ➝Computer vision ➝computer vision tasks.
SPSS Statistical Software Analyses the Influence of Adoptive Persons of Preschool Children on Their Breakfast Behavior
Authors: Tan Fang , Zhang Hui , Zhao Xin , Zhang Jiaqiong , Yi Ruokun
Published: January 2020

Breakfast plays an important role in the health of preschool children, which can not be replaced by lunch and dinner. Breakfast quality will affect the nutritional intake and growth level of preschool children, and even more seriously, it will affect their cognition and learning. In order to improve the attention of the main adopters of preschool children to their breakfast behavior, this study mainly investigated the attitude, nutrition knowledge and breakfast behavior of the main adopters of preschool children about breakfast behavior of preschool children, and then used SPSS statistical software to analyze the collected data. The results showed that the breakfast behavior of preschool children was mainly influenced by their main adoptive persons. The main adoptive persons of preschool children neglect the education of breakfast behavior health of preschool children and the lack of knowledge of breakfast nutrition and health of the main adoptive persons themselves, which leads to the lack of high-quality breakfast nutrition for preschool children. Therefore, it is suggested that the main adopters of preschool children should have scientific knowledge of nutritional breakfast, actively cultivate the knowledge of nutritional breakfast and eating habits of preschool children, and develop good breakfast habits themselves to maintain the health of preschool children.
Researches on the Construction of the Smart Campus System with respect to the Higher Vocational Colleges in the Information Age—Taking Dalian Vocational and Technical College as an Example
Authors: Yuxia Song
Published: January 2020

This paper analyzes the foundation and feasibility analysis of the construction of the smart campus system in higher vocational colleges, such as Dalian Vocational and Technical College, in the information age, including the existing problems and deficiencies. It proposes the specific framework and concept of conceive for the smart campus from the four levels, the sensing and the network layer, the data analysis layer, the application and service layer and the security maintenance layer. The smart campus aims at serving the teachers and students of the higher vocational colleges and related school-enterprise cooperation enterprises. The construction of a smart campus has far-reaching guiding significance and practical value for higher vocational colleges.
Interpolation-based outlier detection for sparse, high dimensional data
Authors: Chen Wanghu , Tian Zhen , Zhang LiZhi
Published: January 2020

The clustering-based approach has always been an important research direction of outlier detection technology. The current detection approaches based on clustering of outliers are able to overcome the shortcoming of traditional test approach of outliers, however, most of the existing approach based on clustering to improve the choice of initial clustering center, this does not solve poor due to the sparse data clustering effect, and so cannot be radically improve the accuracy of detecting outliers. The data in the outlier detection problem can be regarded as a high degree of mixing between the normal point and the abnormal point. On the premise of reducing the loss of normal points, the set of outliers is the N samples farthest from the clustering center containing the most outliers. Inspired by this idea, an outlier detection approach based on genetic clustering for high-dimensional sparse data was proposed. By applying genetic algorithm based on traditional k-means, this approach processed the difference of original data and solved the problem of poor clustering effect caused by high-dimensional data sparsity. The experimental results show that compared with several improved k-means-based clustering approaches and outlier detection approaches, the proposed approach can reduce the loss of normal points and distinguish normal data and outlier more accurately.
Identifying the Effects of the Rational Drug Use System Im-plementation on Medical Quality
Authors: Guo Shanshan , Chen Shuqing , Du Wenchao , Sun Weiwei , Guo Xitong , Ju Xiaofeng
Published: January 2020

Irrational usage of drugs, such as the over usage or the inadequate usage of drugs and their misguided usage, is still an important problem plaguing the world’s healthcare industry. The Rational Drug Use System (RDUS) provides doctors and patients with the functions of drug usage monitoring, medical information consultation and prescription medication support. From a comprehensive perspective of both the doctors and patients, our study explores the influence of RDUS implementation on medical quality. We collected data from a large 3A-class hospital in China, including data from two-years before and after the implementation of the RDUS. Through empirical research, it was verified that the implementation of the RDUS can effectively improve the medical quality. Specifically, the results indicated that the severity of a disease and the degree of irrational drug usage in hospital departments both played a positive regulatory role in the influence of the RDUS on medical quality. The results render certain theoretical and practical implications for standardizing rational drug usage behavior and promoting the effective application of the RDUS.
The Application of Blockchain and its Advantage to the Field of Art
Authors: Ren Shuai
Published: January 2020

This paper describes the application of blockchain technology for the auction market of art and the means to use this technology to solve the problem of authority and the insufficiency of proper trading paths. Blockchain technology displays its usefulness in solving the unfavorable factors in the chaotic auction market include the uneven valuation of the auction items, lack of funds, and other areas. This study introduces blockchain technology as an innovative means to enhance the transparency of art auction.
Development Characteristics and Laws of Aging Studies
Authors: Liu Weixia
Published: January 2020

Aging studies involve multiple demography-dominated disciplines, such as economics, politics, geography, insurance. In this paper, a statistical analysis of aging studies on China National Knowledge Infrastructure (CNKI) from 1990 to 2015 was carried out based on bibliometric method. Research results are as follows: (1) the number of aging studies increased continuously in the fluctuation manner. (2) Journal studies still remained the major contributor. (3) The number of funded aging studies increased continuously, but the total proportion was still low (only 5.31%). (4) There were 40 authors who had published more than 5 articles. (5) The number of citations and the highest citations of single article changed in the same way. Specifically, Peng Du, Cangping Wu, Guangzong Mu and Xiangqun Jiang took the leading roles in the number and citations of articles.
Value of Telecom Operators’ Big Data in Social Public Management
Authors: Hong Ying , Li Zheng , Wang Jun
Published: January 2020

Big data is treated as the oil of 21st century, and can bring tremendous changes and opportunities to many industries. Telecom operators possess large amount of telecom data by nature with precious value. Based on telecom operators’ data features analysis, this paper highlights the value of big telecom data in social public management. Telecom big data can play an important role in the improving public management and public welfare, such as transport, public security, tourism, and disaster rescue. Besides, this paper presents a discussion about the implications of the telecom big data. This paper is expected to provide insights into the value development of telecom operators’ data based on big data.
Human activity recognition based on extreme learning machine in smart home
Authors: Chen Shangfeng , Fang Hongqing , Liu Zhijian
Published: January 2020

This paper applies extreme learning machine (ELM)to human activity recognition in smart home, evaluates the human activity recognition model established by ELM. Experimental results show that the accuracy of activity recognition of ELM model is related to the number of hidden layer units. Too many/few hidden layer units can affect the performance of the ELM mode, apparently.
Risk Decision Analysis Method for Emergency Response Based on Co-occurrence Network and Prospect Theory
Authors: Pang Guoying , Liu Jun , Liu Jia , Guo Yan
Published: January 2020

From the point of co-occurrence analysis, the article uses theme search to identify a collection of emergencies, which selected from about 70 years of research literature in China Journal full-text database and Web of Science database between 1959 and 2012. Through analysing the frequency of emergencies, the article builds a co-occurrence matrix, creates an emergency network according to co-occurrence rate between emergencies, and identifies a number of hidden disaster chains within the emergency network model. Secondly, losses occur due to the intervention of decision markers, and the feeling of psychological and the weight of possible scenarios are described using the theory of prospect. According to the values, weights and alternative costs, the overall prospect value of each alternative is calculated to determine the rank of schemes. Finally, the analogy simulation is given to illustrate the feasibility and validity of the emergency network and the proposed method.
A Lightweight Experimental Platform for Big Data Based on Docker Containers
Authors: Ruijun Gu
Published: January 2020

In recent years, many colleges and universities have set up the major of big data. The biggest problem in teaching is that there is no supporting basic experimental environment, and it is difficult to deploy and configure the big data environment at the same time. In addition, the lack of experimental data, experimental teaching plans and experimental manuals in the experimental process makes it difficult to carry out relevant teaching. In order to reduce the cost of laboratory construction and the difficulty of learning big data, a lightweight big data experimental platform was constructed based on virtualized container technology. Through this platform, we can create a big data cluster, provide various suitable experimental environments, focus on the technology itself, and greatly improve the learning efficiency.
Analysis and prediction of college students’ consumption behavior
Authors: Hou Wenming , Di Xiaoqiang , Zhang Xingxu , Ma Yong , Yang Huamin
Published: January 2020

Campus data analysis is becoming increasingly important. In this work, based on the students’ consumption behavior in the canteen, we study the correlation between the students’ consumption expenditure and China’s national price level, as well as the relationship between the number of merchants to whom students make payments and students’ own economic conditions. Specifically, the students’ consumption expenditure increases with the price level, and the male consumption is significantly higher than that of the female; in addition, the better the students’ economic condition, the more canteen merchants that students choose. Finally, we propose a model for predicting the student consumption group, which can divide the students into high, moderate and low consumption groups. Experiment results show that the model can be used as an effective tool for predicting the consumption groups of students.
To study game coordination mechanism for closed-loop supply chain in rural e-commerce
Authors: Wang Yanling , Zhang Guangsheng
Published: January 2020

Focusing on problems such as resource waste, environmental pollution and reverse logistics difficulties, this study established a game model consisting of product manufacturers, rural e-commerce, consumers and government for closed-loop supply chain in rural ecommerce, analysed equilibrium strategies selection and stability of closed-loop supply chain under government’s reward and punishment strategies. The analytical results indicated that government’s reward and punishment strategies for enterprises were important factors affecting enterprise decision-making, and can effectively guide closed-loop supply chain to improve efficiency of reverse logistics utilization, increase recycling price of rural e-commerce, and improve total social welfare goal.
Research on Social Security Governance in Big Data Environment
Authors: Chen Lei
Published: January 2020

Under the background of big data, social security information has new characteristics such as large data volume, low value density, diverse and complex types. It has become an inevitable trend to effectively integrate social security governance with big data technology. But there are some problems in social security work in China, such as imperfect organizational system, lack of special national social security database, lack of technical personnel with big data. Some measures are put forward, such as integrating social security resources, improving social security technical means, cultivating technical talents with big data thinking, strengthening the participation and cooperation of the public and institutions, improving the social security prevention and control system centered on big data, and further promoting international security cooperation, to promote social security governance.
Face Recognition based on Linear Projective Non-negative Matrix Factorization with Kullback-Leibler Divergence
Authors: Hu Lirui , Jia Siyuan , Wu Ning
Published: January 2020

In order to solve the problem of feature extraction and classification of Non-negative Matrix Factorization (NMF) in face recognition, a Linear Projective Non-negative Matrix Factorization method based on Kullback-Leibler divergence (LP-NMF-DIV) is proposed. In LP-NMF-DIV, an objective function of Kullback-Leibler divergence is considered. The Taylor series expansion and the Newton iteration formula are used to find the root formula. The iterative algorithm of basis matrix and linear transformation matrix are derived, and the convergence of the algorithm is proved. The results of experimental show that the algorithm is convergent. In face recognition, compared with some typical NMF methods, the algorithm has high recognition accuracy; when the ranks of the basis matrices are set to different values, the algorithm is stable. The method for LP-NMF-DIV is effective.
Analysis on the Relationship between Population Aging and Employment Dynamics in China—Based on Threshold Vector Error Correction Model
Authors: Yang Liu , Yu Shengchun
Published: January 2020

The social old-age dependency ratio has risen rapidly and the social burden has increased since China entered an aging society in 2001. In this paper, the nonlinear threshold vector error correction model is used to analyze the internal dependence of the elderly population over 65 years old and urban employment in China by using the data from 1990 to 2018. Real example shows that there is a threshold effect between the elderly population in China and urban employment; when the number of employees deviates from the equilibrium value, it will be pulled to the equilibrium level at a rate of 0.0607 units; otherwise, in the second mechanism, there is no long-term equilibrium relationship between the elderly population and urban employment.
Impact of income inequality on individual’ s health in China
Authors: Li Minya
Published: January 2020

There is a considerable number of existing literature exploring income inequality in relation to health, and a large majority of studies reported that health tended to be even worse in those more unequal societies. Our studies reexamined the relationships between health and income inequality. In more detail, we implemented both individual’s income level and family income level, and both mental health and physical, some interesting result can be seen in the later part of the research. In addition, as the individual’ s income level and family income level mentioned above measured the absolute income, we also conducted the relative income as fairness into robustness check.
Calculation Completeness of Combustion Fuel Using Distribution Characteristics of Flame
Authors: Galiev I R , Epishkin V E
Published: January 2020

The article is dedicated to experimental and theoretical studies characteristics flame propagation in combustion chamber internal combustion engine with spark ignition and their influence on completeness combustion. It is theoretically and experimentally proved that relationship of flame propagation characteristics with completeness of combustion composite fuel is complex, non-linear, and depends on chemical composition combustible mixture and temperature in combustion chamber. It was revealed that an increase thickness near-wall unburned fuel layer, size of slots in combustion chamber and surface area of combustion chamber contribute to a reduction combustion efficiency of the fuel. It is shown that an increase rate flame propagation and a decrease thickness flame front leads to an increase completeness combustion fuel. It was revealed that proposed formula, using fundamental characteristics of flame propagation, allows to us calculating completeness combustion composite fuel. This indicates feasibility using this formula at the design stage and fine-tuning low-emission and energy-efficient combustion chambers of engines and power plants.
Mathematical Modelling of Electrically Controlled Filters of Microwave, subTHz and THz–bands on the Base of Grapheneand-Dielectric Multilayer Structure
Authors: Smirnov I A , Cherckesova L V , Zhebrun E A , Kleimenkin D V
Published: January 2020

Report is devoted to investigations of graphene meta–surfaces for the transmission of radiation induced by plasmons in subTHz and THz ranges, cell of which consists of structures based on graphene ring and graphene nano–tape. It create regimes of radiation transmission – transparency windows induced by electric dipole resonances. Resonant frequency of transparency window can be dynamically tuned in wide band of subTHz and THz bands by changing the chemical potential (Fermi energy) of graphene by applying external electric field (gating) instead of re–fabricating of structures. Questions of possibilities of electronic controlled filters creating of subTHz and THz bands grounded on different configurations of graphene meta–surfaces are discussed; their characteristics and frequency dependencies are investigated. Mathematical modelling and electrodynamic calculation of the filters characteristics of subTHz and THz bands grounded on multilayer structures of “graphene–dielectric” type are carried out. From results of mathematical modelling it follows that periodic layered microstructures “graphene–dielectric” type can be used for creation of subTHz and THz bands broadband filters of planar construction, controlling by electric field and fast tuning at small changes in Fermi energy level of graphene.
Current Threshold Elements of Cyclic Shift for Constructing Specialized IP-Memory Modules in Automation and Systems for Tolerance Control of Analog Signals
Authors: Butyrlagin N V , Chernov N I , Prokopenko N N , Ya Yugai V
Published: January 2020

The current threshold elements of direct and reverse cyclic shift are developed. This logical elements are recommended as memory elements for the construction of relevant controllers and devices for tolerance control of analog signals, which used in diagnosis of complex electronic equipment. The mathematical apparatus used in the design is a linear algebra. The basic equations and results of computer modeling of the developed cyclic shift schemes are presented. Computer simulation was carried out in the Cadence environment on models of field-effect transistors XB06.
Ultrafine Metal Powders Used as Gas to Liquids Catalysts
Authors: Pivovar V A , Popok E V , Zhuravkov S P
Published: January 2020

The paper deals with the effect of synthesis parameters on the reactivity of Fischer– Tropsch iron-based catalyst resulting from electrical wire explosion in a carbon monoxide medium. The technology provides the synthesis of ultrafine particles with a large specific surface area and a given phase composition. A mixture resulting from the synthesis of liquid hydrocarbons contains hydrocarbons of a paraffinic and aromatic structure, and its further use requires additional refinement.
Formation of a Seam Using Automatic Unsupported Argon Arc Welding with a Non-Consumable Electrode with Flux Pastes
Authors: Krasikov P P , Savinov A V , Polesskiy O A , Chudin A A , Lysak V I
Published: January 2020

It was demonstrated that applying the flux paste on the back side of the welded joint during welding low-alloyed steels provides control over the sizes of the root and its defect-free formation. It was found that the back bead width is vital to unsupported root formation of thin-walled articles for the considered welding modes.
Work Safety During Purification of Irradiated Beryllium by Chlorination
Authors: Baklanova Yu Yu , Vurim A D , Kotov VM , Surayev A S , Prozorova I V
Published: January 2020

The paper considers safety ensuring issues during the work at the plant intended for researching the technology of irradiated beryllium purification using chlorination method. Presented technology assumes handling beryllium and its compounds, chlorine and hydrogen chloride in compliance with the following safety aspects: radiation and toxic safety. Based on the results of the calculation of an expected dose and taking into account the requirements for the attended personnel, the allowable duration of maintenance the reaction chamber with the loaded irradiated beryllium sample was determined. The amount of radioactive beryllium in each cleaning cycle was determined from the point of view of the reasonable minimization (based on the safety rules) of the possible internal exposure of personnel due to the intake of gaseous tritium. The paper describes a unique way to measure the concentration of free chlorine by optical method and methods to protect the harmful effects of chlorine gas and hydrogen. The results of this study demonstrate possibility of safe technology implementation during preparation and conduction of experiments for the treatment of irradiated beryllium.