bluuebunny/crossref_metadata_2025_split huggingface dataset:
Privacy Protection of the Smart Grid System Based on Blockchain
Authors: Liu Siyuan , Zhang Qiong , Liu Honggang 
Published: February 2021

Abstract
With the development of new technologies for smart grid construction, the smart grid is gradually developing. Smart grid construction is an important field of next generation information technology, and its value and significance have been widely recognized. Smart grid construction not only provides development opportunities, but also brings great challenges. Security and privacy have become serious problems in the development of smart grid. Based on this, this paper discusses the system structure of the block chain, and puts forward the security diagnosis scheme of the smart grid according to the existing problems in the smart grid. Based on the theoretical basis of smart grid big data technology, this paper combines the grid data encryption process with the privacy protection process under the premise of protecting privacy and security, and develops the latest network security protocol. Then use block chain distributed storage to reduce the connection protection process in privacy, and use multi-level encryption. The experimental results show that the technology can improve the rate of sensitive data hiding and has good anti-cracking ability, which provides a theoretical reference for the construction of enterprise power grid.
Data Mining System and Construction Analysis of Skilled Talents based on Big Data
Authors: Guan Yibo 
Published: February 2021

Abstract
The cultivation of high-quality skilled talents is an important subject that needs to be improved in the current vocational college education. Through the construction of the training mechanism corresponding to the specialty, the students’ practical ability can be promoted. Driven by big data, many technical enterprises gradually strengthen the recruitment of technical talents. However, due to the wide distribution of talents, data mining is more difficult. Therefore, it introduces the data mining system and construction analysis of skilled talents based on big data. This paper first analyzes the demand of skilled talents; secondly, the popular data mining technology is applied to this big data system, and the reasons for the low efficiency of data analysis and processing of skilled talents are obtained; then, the Bayesian algorithm in data mining technology is used to classify the technical talents, so that the enterprises in need can select and locate the skilled talents Data positioning is also carried out. Finally, it is concluded that the system can effectively promote the recruitment of technical talents in enterprises, and the ability level of these people after entering the company also meets the post requirements.
Application of Artificial Intelligence Technology in Virtual Reality Animation Aided Production
Authors: Yang Yixuan 
Published: February 2021

Abstract
The three-dimensional animation developed by virtual reality technology has been widely concerned. Although the virtual reality technology has changed the traditional animation production mode to a great extent, the existing virtual reality technology is still not perfect, which needs to be further compensated by artificial intelligence technology, and the domestic research on this aspect is less. Therefore, this paper establishes the application of artificial intelligence technology in virtual reality aided animation production. This paper investigates the popularity of artificial intelligence technology course in animation major of colleges and universities, and thinks that the interdisciplinary education needs to be strengthened. In this paper, the application of artificial intelligence technology in virtual reality aided animation production is analyzed in detail. Firstly, it is considered that artificial intelligence makes animation tools intelligent and further changes the traditional animation production mode. Secondly, the importance of artificial intelligence technology in 3D animation modelling due to the current that virtual reality technology is not perfect. It needs to be improved through artificial intelligence technology. Finally, this paper analyzes the development trend of the integration of artificial intelligence and virtual reality. This paper believes that the intelligent artistic creation is the future development trend, and the efficiency and effect of animation production can be effectively improved through artificial intelligence technology.
RETRACTED: Business Data Analysis Based on Hierarchical Clustering Algorithm in the Context of Big Data
Authors: Sun Hao 
Published: February 2021

Abstract
With the rapid development of computer technology, computer technology has been applied to all aspects of the daily field, we are now in an era of data explosion. With the passage of time, the data on the network will become more and more, consumers will not be able to meet their consumption needs in the face of so much data. How to deal with these data is an urgent problem to be solved. Based on this, this paper uses a similar analytic hierarchy process algorithm, hierarchical clustering algorithm, to process the data. According to the browsing and consumption records of consumers, the algorithm can recommend the goods that consumers want to buy and the price of goods they want to buy. In the research, this paper analyzes the business data of consumers by hierarchical clustering analysis, and classifies people with different consumption levels into a large group, analyzes the purchasing tendency of consumers and the price of goods they want to buy, and then recommends products to consumers. The experimental results show that the analysis results of this paper using hierarchical clustering algorithm are consistent with the results of selling goods on the online platform. Therefore, according to the experimental results of this paper, businesses can promote more suitable products for consumers.
A Dynamic Target Recognition Method Based on Correlation Tracking Algorithm
Authors: Chang Zhoulin , Lu Zixie , Mo Fu , Tan Hanhong , Wu Zongying , Ye Tianyu 
Published: February 2021

Abstract
Target recognition is a very important part in the field of image processing. The effect of target recognition directly affects the success or failure of subsequent processing. This paper proposed a dynamic target recognition method based on correlation tracking algorithm. The correlation tracking algorithm only needs matching the original data of grey level of related images, no feature extraction or division is required for images. In this case, all information of this series of images can be kept, and the correlation tracking algorithm also has many advantages, no complex pre-processing of the original images is required, and the grey level of images can be used to directly matching key points, so the possibility of implementation is greatly increased. Moreover, under the condition of low noise, matching also can be carried out, and there is no high demand for the quality of sequential images. In such an approach, its local anti-interference ability is very strong. The correlation tracking algorithm can be used to predict the trajectory of a moving object in real life. The experimental results show that the proposed method can detect the objects in an image by providing the region of objects and the background with different colors. The conclusions can be drawn that the proposed method can successfully tackle the object recognition task in most cases.
Accurate Marketing Strategies Based On Data Analytics
Authors: Wang Xinyi 
Published: February 2021

Abstract
In the current background of the times, China’s economic development is very rapid, all walks of life are changing with each passing day, so for marketing strategy, the current situation is also a challenge, but also an opportunity. Therefore, according to the current situation, this paper puts forward some methods of using data analysis to implement precision marketing. In this paper, on the premise of protecting user data security and not violating the data mining rules, in order to improve the accuracy of marketing, through comparing the current marketing model with the previous marketing model, and using literature research, questionnaire method, comparative analysis, mathematical statistics, a number of algorithms and other methods to get the experimental results. The experimental results show that the appropriate algorithm can make the marketing strategy get more accurate results.
Application Analysis of Flipped Classroom Based on Wechat Public Platform in Basketball Physical Education Teaching
Authors: Wei Wenting , Wei Jinrui , Fang Wenxuan 
Published: February 2021

Abstract
Under the background of the new era, with the deepening of the new curriculum reform, college physical education teaching mode and concept have changed. Among them, flipped classroom based on wechat public platform has practical significance for sports learning. It is an important part of basketball physical education teaching process. The reasonable implementation of wechat public platform flipped classroom can improve students’ subjective initiative and promote the development of students’ sports learning at all levels. There are also some problems in the application of wechat flipped classroom in basketball course, such as emphasizing form, ignoring content, unreasonable design of classroom resources. The implementation of the new teaching mode requires full use of video, micro classroom and other teaching methods to improve students’ interest in learning, explore more knowledge of teaching content, fully understand the connectivity of knowledge, and improve the overall efficiency. Among them, this paper takes the flipped classroom of wechat public platform as an important research object, expounds its special application in basketball physical education teaching, hoping to help basketball sports teaching.
The Influence of Work Pressure on Airline Personnel’s Work Errors in the Internet Age
Authors: Yang Liu , Hu Jing 
Published: February 2021

Abstract
To explore the influence mechanism of job stress on job errors, on the basis of literature review, this thesis proposes a conceptual model of the effect of job stress on job errors of airline personnel, and explores the mediating effect of perceived organizational support (POS). The analysis of 373 airline questionnaires show that the job stress of airline personnel has a pronounced positive effect on their job errors; airline personnel’s work tasks stress, interpersonal stress, occupational development stress and work-family conflict stress have a pronounced positive effect on their job errors, and the positive effect of role stress and organizational management stress to job errors is not significant; airline personnel’s POS produces a mediating effect between their job stress and job errors. The purpose of the study is to provide a basis for airline’s stress management and safety management, so as to improve safety performance and enhance the safety level of air transportation.
Adaptive and innovative students’ metacognition in solving logarithm tasks
Authors: Imama M , Siswono T Y E , Ismail  
Published: February 2021

Abstract
Problem solving as approach in teaching and learning has important position to face students’ future. Students’ problem-solving skill and knowledge depend on several aspects, one of which is metacognition. Metacognition is the awareness of students in using their minds to plan, monitor, and evaluate the cognitive processes and strategies used. Students have different cognitive styles, including adaptive and innovative style. The selection of participants in this qualitative study used a cognitive style questionnaire to find students who had cognitive styles of adaptation and innovation. Data collection using task-based interviews about algorithms. Analysis of research results from the 10th grade students as participants used steps that are data reduction, data presentation, and verification, as well as checking data validity. The results showed that adaptive student at planning stage to understand the problem through reading effort, solve the logarithm problem using her knowledge directly, and plan to check the calculation, writing, and methods used. In monitoring stage, she did not estimate time consuming for solving problem. Student have not been confident yet that her plan was correct. She thinks that she has forgotten, although using methods for checking of solution was correct. Finally, at evaluation stage, adaptive students have no other way to understand problem, believes that his knowledge could help to solving problems, look back the plan that has been used, and she has no other way to re-examine his work. The innovative student has several similar stages with the adaptive student. She has estimated time consuming for solving logarithm problem and check calculation results, writing, and methods used. She has been confident using his method to understand problem, and check his work twice until it was correct. He has alternative strategy although the alternative is more complicated so it is not used.
The Selection of Bayesian Polynomial Regression with INLA by using DIC, WAIC and CPO
Authors: Sutanto H T , Pramoedyo H , Wardhani W S , Astutik S 
Published: February 2021

AbstractThe polynomial regression model is extended the multiple linear regression. The selection of Bayesian polynomial regression model with INLA required Criterion. Criterion is using the measure fit model with the available data. There are three criteria, namely DIC, WAIC and CPO. The smaller criterion value from DIC, WAIC and CPO on a model show the best Bayesian polynomial regression model with INLA.
Design of Water Level Monitoring using Ultrasonic Sensor
Authors: Baskhara Hedy Aditya , Anwar Saipul , Abdurahman  
Published: February 2021

Abstract
High rainfall intensity is one of the causes of the large volume of water in a water dam. Currently, the water gates of many water dams are still using manual methods to open and close the sluice gates. This design aims to make a device that can monitor the height, discharge of water, and assist in the control of sluice gates. This tool can move the sluice based on the height of the water level, so it does not need to be done manually which also contains human error.
The working principle of the prototype tool is by detecting water level at several stages, and detecting water level by utilizing ultrasonic sensors. The floodgates will move according to the level of water level in the water dam, so that the water in the dam does not exceed the capacity which can cause the dam to become damaged, it can also display water level and water dam status.
Testing Transformers of one Phase Flows With Inductive Variation Loads
Authors: Kusnadi Heri , Gunawan Wawan , Setiyono Cahyo 
Published: February 2021

Abstract
Transformer is an electrical device that is often used to increase and decrease the voltage, either high voltage or low voltage. Transformer testing in this study aims to determine the ability of the transformer when using several variations of inductive loads that are in a single phase current transformer. This research is expected to find a difference in characteristics after testing, including to find out the inductive loading experiment, zero load testing and testing using cos A. After testing with several experiments obtained different data results. Transformer parameters can be obtained from two tests, namely zero load and load test. Zero load testing can be known V1, I0, P1. Loaded testing must pay attention to the nominal current value of the test transformer. A large size transformer will get a large current compared to a smaller size transformer.
The Experiment Study on the Utilization of Standing Wave Thermoacoustic Engine to Drive Wells Bi-Directional Turbine
Authors: Sugiyanto  , Kamal Samsul , Waluyo Joko , Widyaparaga Adhika 
Published: February 2021

Abstract
Standing wave thermoacoustic engine (SWTE) is a device for converting heat to propagate acoustic wave within straight and tubular of the resonator. The advantages of this engine include being able to use the waste heat as a source of heating, no moving parts and environmentally friendly. The utilization of this acoustic wave is to rotate air turbine because its movement that goes back and forth. The type of air turbine that appropriates to this character one of these is Wells bi-directional turbine, which is always rotated in the same direction regardless of the moving air direction. This study aims to investigate the performance of Wells turbine when paired with SWTE in the variation on geometry shape of blade and hub to tip ratio. The Wells turbine was embedded inside resonator of this engine has a diameter of 50 mm in the manner of the hub to tip ratio 0.6. The geometry shape of blade varied with airfoil type of NACA 0015, NACA 0018 and NACA 0024. SWTE was generating 4,67 kPa acoustic pressure and 138 Hz frequency within 52 mm inside diameter, 390 mm length of the resonator. The result was the Wells turbine NACA 0018 has rotational motion 2449 rpm, higher than the others types. Wells turbine NACA 0018 then tested with variations of the hub to tip ratio. Results showed that are generated rotational motion at 2614 rpm, 2449 rpm and 1555 rpm for 0.5, 0.6, 0.7 hub to tip ratio, respectively.. It can be concluded that the Well turbine NACA 0018 with hub to tip ratio 0,5 has best performance compare to the others.
Research on application and thermal performance of raw earth material in building envelope
Authors: Yan Y K , Song Y F 
Published: February 2021

Abstract
Mainstream green has recently swept the construction industry throughout the world. Building envelope and material are two important aspects of green building evaluation. As the growing development of new green building concept “human-orientation design”, raw earth, as a natural, locally sourced, minimally processed, and recyclable material that is very different from concrete, becomes one of the most attractive options. Most architects pay attention to the aesthetic design of the raw earth wall, while other researchers like civil engineers focus on the physical properties of raw earth material itself. Few studies discussed the effect of the raw earth wall in building a thermal environment. This paper firstly conducts a parametric study on the thermal performance of raw earth wall with the consideration of thermophysical properties of materials, application of thermal insulation layer in the wall, and design parameters, i.e. thickness, of each layer of the wall. A naturally ventilated public building in Shanghai is then simulated to discuss the feasibility and the most optimum strategy of raw earth wall applications as building envelope in the sub-tropical high-density cities. Based on comprehensive data analysis, four findings are identified: (1) Compared with common building materials like concrete, raw earth materials have significant advantages in two thermophysical parameters - thermal transmittance and thermal effusivity which directly influence the indoor air temperature; (2) Thickness and structure of both raw earth layer and insulation layer are two important design parameters to meet the requirements of the indoor thermal environment; (3) Raw earth wall performs better than the standardized “Green Wall” based on local green building standards; (4) In terms of thermal performance, “Raw Earth Wall with External Insulation” is more suitable in subtropics. However, “Raw Earth Wall with Sandwich Insulation” is more recommended if pursuing the beauty of raw earth materials, because the thermal performances of “Raw Earth Wall with Sandwich Insulation” and Raw Earth Wall with External Insulation” are almost the same in summer, and very close in winter.
Design and modelling of a MEMS for detection of volatile organic compound
Authors: Argüelles-Lucho P , Woo-García R M , García-González L , Sánchez-Vidal A , Herrera-May A L , Pérez-Cuapio R , López-Huerta F 
Published: February 2021

Abstract
Volatile organic compounds pollute air in and out of homes, which effects human health when inhaled. It is necessary to monitor these gases with rapid response sensors at low concentrations, such as with electromechanical systems. We designed and simulated of a multilayer cantilever sensor using finite element method, which is 3 mm long, 2 mm wide, and 52.2 µm thick, activated with the piezoelectric effect with a zinc oxide film and a titanium oxide film that is sensitive to gases. The first resonance frequencies were obtained with modal analysis using ANSYS®, in which the first frequency is 4722.4 Hz, the minimum sensitivity of the multilayer gas sensor is 8.22 kHz/g and a minimum detectable mass change (Δm

c
) of 2432.32 ng. This sensor could be used in industry or in homes.
Proposal for the application of ICE and BIM sessions to increase productivity in construction
Authors: Quiso E , Rivera J , Farje J 
Published: February 2021

Abstract
Several studies have shown that the main problem in the construction industry is low productivity. Therefore, this study focuses on developing a proposal through a methodology that can increase productivity in the construction of buildings. The proposed methodology is Virtual Design and Construction (VDC), which has 4 pillars: Building Information Modeling (BIM), Integrated Concurrent Engineering (ICE), metrics and Project Production Management (PPM). However, the article mainly develops BIM and ICE sessions. In addition, in the ICE sessions, “work executors” will be added, so that the information is fed back by both parties, specialist engineers and work executors. Finally, the proposal will be applied in a multi-family building project in the city of Lima - Peru, in order to obtain improvement results.
Comparing the turn performance of different motor control schemes in multilink fish-inspired robots
Authors: Howe Stephen P , Duff Andrew R , Astley Henry C 
Published: February 2021

Abstract
Fish robots have many possible applications in exploration, industry, research, and continue to increase in design complexity, control, and the behaviors they can complete. Maneuverability is an important metric of fish robot performance, with several strategies being implemented. By far the most common control scheme for fish robot maneuvers is an offset control scheme, wherein the robot’s steady swimming is controlled by sinusoidal function and turns are generated biasing bending to one side or another. An early bio-inspired turn control scheme is based on the C-start escape response observed in live fish. We developed a control scheme that is based on the kinematics of routine maneuvers in live fish that we call the ‘pulse’, which is a pattern of increasing and decreasing curvature that propagates down the body. This pattern of curvature is consistent across a wide range of turn types and can be described with a limited number of variables. We compared the performance of turns using each of these three control schemes across a range of durations and bending amplitudes. We found that C-start and offset turns had the highest heading changes for a given set of inputs, whereas the bio-inspired pulse turns had the highest linear accelerations for a given set of inputs. However, pulses shift the conceptualization of swimming away from it being a continuous behavior towards it being an intermittent behavior that is built by combining individual bending events. Our bio-inspired pulse control scheme has the potential to increase the behavioral flexibility of bio-inspired robotic fish and solve some of the problems associated with integrating different swimming behaviors, despite lower maximal turning performance.