bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent control model of athletes’ training intensity based on big data analysis of physical fitness
Authors: Zhang QI-QI 
Published: April 2021

Abstract
Based on the analysis of big data, this paper designs the intelligent control model of sports athletes’ training progress. By constructing the evaluation system of sports athletes’ training intensity, it improves the intelligent control algorithm of sports athletes’ training intensity, and ensures the operation effect of the intelligent control model of sports athletes’ training intensity. In order to verify the effect of the model, simulation experiments are carried out, and the results show that most of the models are effective. From the perspective of analysis, the intelligent model of athletes’ training progress has outstanding practical value. The model can quickly and accurately formulate training plans, solve the data fluctuation phenomenon under the trend of big data division, and realize intelligent operation. Moreover, the fluency and accuracy are very high, which is worth promoting and applying.
Research and Implementation of Intelligent Garbage Collection Car System
Authors: Zhang Lan , Jiang Wen 
Published: April 2021

Abstract
With the development of artificial intelligence technology, the conditions for the introduction of intelligent garbage sorting and recycling tools in garbage sorting and recycling have gradually matured. Compared with the traditional manual recycling, intelligent garbage collection tools have considerable advantages in terms of work efficiency, personal safety and virus transmission. In this paper, an intelligent garbage collection system is designed. Through camera tracking, obstacle avoidance by laser radar and other technologies, the garbage in the area to be recycled will be automatically recycled to the designated location, and the operation and loading of the garbage car will be uploaded to the cloud server. Users can view the situation of the intelligent garbage collection system through their mobile phones or web pages.
RETRACTED: Research on E-commerce Recommendation System Based on Big Data Technology
Authors: Wan Zhenjie 
Published: April 2021

Abstract
With the continuous development of e-commerce and the increasing number of users, more and more scholars have devoted themselves to the research of recommendation algorithms for e-commerce platforms. How to quickly dig out information or products that users are interested in from massive data is a research category in the field of recommendation systems. The emergence of the Spark memory computing platform can provide technical support for improving the efficiency and real-time performance of the recommendation algorithm. This article first analyzes the requirements of the e-commerce recommendation system, and designs the overall architecture of the system. Through the analysis of the system, a recommendation system that conforms to the e-commerce system is designed, and a stream computing framework is used to implement a recommendation system that can meet offline and online recommendations combined recommendation system.
Research on the application of big data in regional industrial supply chain
Authors: Yajun Sun , LiLi  , Juanjuan Tian 
Published: April 2021

Abstract
Taking Artemisia industry, the pillar industry of Qichun County as an example, this paper studies the role of big data in the construction of regional industrial supply chain, and uses big data technology to analyze the application of modern information technology in the industry, such as the system of county industrial supply chain, product structure and e-commerce. The main problems of the industrial supply chain in Qichun County are: insufficient application of big data technology in the whole supply chain, low application of big data technology in the traditional manufacturing industry, low application of big data in the tourism and health industry, and low intelligence of the logistics system. It is proposed to use big data and other information technology to optimise the supply chain upgrade of the county industry and establish a complete industrial chain of smart manufacturing, smart logistics, smart tourism and artificial intelligence + big health.
High-Frequency Data Link System Architecture Design based on SysML Modeling Language
Authors: Haomin Wu , Haomin Li , Xinai Zhang , Miao Yu , jinze Song 
Published: April 2021

Abstract
This article is to show a new type of aircraft system design method, which decomposes the civil aircraft high-frequency data link system architecture into functional architecture, logical architecture and physical architecture, and describes the hierarchical relationship between the function, logic and physics of the system through the SysML model language.This article shows the method what converts the traditional high-frequency data link system design work based on experience and documents into model-based architecture design work.It uses the association and traceability of the model to ensure the integrity of the information in the design process and achieve the purpose of fast and convenient system design.
Qualitative Determination of Pesticide Residues in Purple Cabbage Based on Near Infrared Spectroscopy
Authors: Li Min , Lu Linju , Zhang Xiaoying 
Published: April 2021

Abstract
A qualitative detection model of pesticide residues based on near infrared spectroscopy and support vector machine (SVM) classification is proposed in this paper. The model was used to identify the pesticide free purple cabbage and pesticide containing purple cabbage. Cypermethrin, matrine and avermectin were selected respectively, and the ratio of pesticide and water was 1:100. The correct rates of classification and identification were 90%, 100% and 100%, respectively. The experimental results show that the model has high accuracy and universality for qualitative analysis of pesticide residues in purple cabbage. This paper presents an effective method for rapid and nondestructive detection of pesticide residues in vegetables.
Research on Manufacturing Readiness Level Improvement of Hybrid Integrated Circuit Based on Intelligent Manufacturing
Authors: Zhao Hailong , Zhang Yu , Zhang Kui , Huang Jie , Ran Honglei 
Published: April 2021

Abstract
This paper takes Hybrid Integrated Circuit (HIC) as research object, on the basis of fully understanding the concept and connotation, grading requirements and evaluation process of Manufacturing Readiness Level (MRL), aiming at the manufacturing risk factors and its sub factors in MRL, based on intelligent manufacturing technology, several ways to improve MRL of HIC are discussed, including intelligent upgrading of manufacturing equipment, intelligent management system, intelligent warehousing and logistics, intelligent interaction of Internet of Things (IOT), big data analysis and mining.
Evaluation of Normal Meshing Profile Deviation based on 3D Measurement
Authors: Zhao Baoya , Shi Zhaoyao , Yu Bo 
Published: April 2021

Abstract
The feature lines on involute surface include profile, helix, normal meshing profile and contact line. In helical gear transmission, the deviation of normal meshing tooth shape can reflect the transmission quality of gear better. In this paper, a method is proposed to obtain the tooth flank normal deviation from the 3D measuring point cloud data of gear, and to obtain the normal meshing profile deviation curve from it, and to evaluate it.
Research on Bionic Foot Design and Climbing Strategy of Quadruped Robot
Authors: Yan Tong , Su Bo , Xu Wei , Qiu Tianqi 
Published: April 2021

Abstract
Aiming at the problem that it is difficult for a quadruped robot to climb a large Angle slope, the bionics principle of goat climbing was analyzed. A bionic goat hoofs structure and a foot-to-ground coupling climbing model were designed. A climbing strategy of lateral sloping on a large slope was proposed, and foot trajectory planning under this model was studied. This design can assist the quadruped robot to climb the specific rugged surface with large slope, By building a single leg control model, combining with the Simulink and Simpack co-simulation technology, the single leg bench 60° slope simulation test, simulation results show that this design can effectively improve the quadruped bionic robot for rugged terrain with large slope stability of slope surface support.
Mechanism Design and Analysis of a Multi-DOF Flexible Ankle Rehabilitation Robot
Authors: Lu Yi , Zhang Xingfu , Ai Qingsong 
Published: April 2021

Abstract
According to the needs of global social development, this paper briefly describes the design and modelling of an ankle rehabilitation robot. A multi degree-of-freedom (DOF) ankle rehabilitation robot mechanism is constructed by using flexible pneumatic muscle actuators. The relevant mainstream control methods are analyzed. On this basis, we integrate the ankle rehabilitation robot with virtual reality technology and functional electrical stimulation technology, to further improve the participation of patients and improve the efficiency of ankle rehabilitation.
Regarding Informational Model Of Energy Management Systems
Authors: Lyakhomskii A , Petrochenkov A , Perfilieva E , Kutepov A 
Published: April 2021

Abstract
The relevance of the management of energy resources of industrial enterprises on the basis of the provisions and requirements of energy management systems with the integration of technical and management components of the energy consumption process with the unification of personnel on the basis of a single organizational and technological platform is considered. The characteristic of energy management systems consulting is given, the expediency of its implementation by specialized organizations is substantiated. To design the information model of Energy management system it’s necessary to identify and analyse the department structure, the whole list of the documents of the department and analysis of the routes of the department documents according to the research data.
Simulation of the static synchronous compensator for the system voltage unbalance and high current harmonics compensation from single phase non-linear load
Authors: Makarov A V , Makarova T V , Metelev I S 
Published: April 2021

Abstract
This paper presents the STATCOM model in PSIM, which compensate grid voltage unbalance and current harmonics from the non-linear, two-phase load. Grid voltage unbalance level and harmonics current of non-linear load given from measurement. The model of STATCOM is a 6-level voltage inverter. System voltage, and harmonics currents are controlled. All modes are realized and plots are plotted.
Research on Turbidity and Surface Hydrophobicity of Milk Protein at Different Conditions
Authors: Liu Zhenyan , Qin Lei 
Published: April 2021

Abstract
This study is mainly about determination of turbidity and surface hydrophobicity at different conditions. We use skim milk powder (SMP) as raw materials, the protein dispersion was prepared by dropping 1 wt% (protein basis) with the skim milk powder in Millipore water, and stirring at room temperature for 2 h. The samples were adjusted to different pH values (6.2 、 6.3 、 6.4 and 6.7) by stepwise addition of 0.1 mol/L HCl, then transferred to glass tubes and heated for 0-30 min at 80-100°C in a water bath. After the heat-treatment, the milk samples were immediately cooled to room temperature by immersion in an ice bath, and determining turbidity and surface hydrophobicity of milk protein at different conditions.
A Review of Target Identification Strategies for Drug Discovery: from Database to Machine-Based Methods
Authors: Shangguan Zehua 
Published: April 2021

Abstract
In recent years, target identification has become more efficient than before, and it helped to discover huge amounts of drugs for various diseases. The mystery buried behind was the methods that developed in recent years utilized in the target identification. The advances and research status of database, biological assay and machine-based method in recent years for target identification would be integrated by this review. The various databases help scientists to find information about target property, chemical property or on genome level. The biological assay, such as RNAi, RNA sequencing, DNA microarray, and Gal4/UAS system, is commonly used to identify the target in recent years. The machine-based strategies, such as random forest algorithm and Support Vector Machine (SVM) algorithm, could help scientists identify the target and find compound activity more efficiently. Among the three methods mentioned above, the machine-based methods could have higher efficiency and lower cost while maintaining higher accuracy. Despite the promising properties of machine-based methods, the combination use of biological assay would still be necessary. With wider application of more efficient strategies, target identification, as well as drug discovery process, would gain more rapid development.
Characterization of low-pressure MWPC from 1E3 to 1E5 Pa
Authors: Wang Y. , Sun Z. , Wang X. , Yi H. , Jiang W. , Fan R. , Zhou L. , He Y. , Ning C. , He Y. , Zhao Y. , Sun K. , Gao K. 
Published: April 2021

Abstract
The LPMWPC can be used as the Δ E detector for the low-energy charged particle detection. In order to increase the transmittance, the wires were adopted as the cathode. This work investigated the LPMWPC signal characteristics of this configuration and measured the gas gain with a mixture of 90%Ar and 10% CO2 from 1E3 to 1E5 Pa. From the test, the second pulse after the avalanche signal was observed, which proved to be caused by the ions' drifting near the cathode wire.
Air pollution and the noncommunicable disease prevention agenda: opportunities for public health and environmental science
Authors: Howse Eloise , Crane Melanie , Hanigan Ivan , Gunn Lucy , Crosland Paul , Ding Ding , Hensher Martin , Rychetnik Lucie 
Published: April 2021

Abstract
Air pollution is a major environmental risk factor and contributor to chronic, noncommunicable diseases (NCDs). However, most public health approaches to NCD prevention focus on behavioural and biomedical risk factors, rather than environmental risk factors such as air pollution. This article discusses the implications of such a focus. It then outlines the opportunities for those in public health and environmental science to work together across three key areas to address air pollution, NCDs and climate change: (a) acknowledging the shared drivers, including corporate determinants; (b) taking a ‘co-benefits’ approach to NCD prevention; and (c) expanding prevention research and evaluation methods through investing in systems thinking and intersectoral, cross-disciplinary collaborations.
Vehicle Dispatching Technology Based on Geographic Grid Division
Authors: Lei Zhengyi , Jiang Wenjing 
Published: April 2021

Abstract
With the increasing popularity of online ride platforms, more and more historical data can be used in the field of intelligent transportation. However, the taxi behavior of users is difficult to predict and has a great relationship with time and geographical location, which makes the supply and demand of vehicles show an imbalance. Reasonable vehicle scheduling can not only increase driver’s income, improve service quality, but also make effective use of traffic resources. In this paper, a grid-based scheduling model is proposed. By gridding maps, the computational complexity of Donger is reduced to output vehicle scheduling actions quickly. The problem of vehicle supply and demand imbalance can be effectively solved by correcting model parameters based on return loss function. In this paper, the model is optimized from three aspects: loss function, learning rate and grid scale. The goal is to maximize the sum of orders. Compared with the traditional machine learning model, the model proposed in this paper can have deeper features and thus obtain higher prediction accuracy. The experimental results on a large number of real historical taxi order datasets show that the proposed model has high prediction accuracy.
Research on the Importance and Application of Big Data to Equine Culture Communication
Authors: Ding Peng 
Published: April 2021

Abstract
China is an ancient civilization with a long history. However, in the long history, horses have played a key role in the production and life of the people, so later generations compare the performance evaluation to “sweat horse work”. From a certain point of view, the role played by horses in the formation and development of civilization is far more than that of human beings. Unlike other animals, the power, speed, and value of the horse have a positive effect on people’s daily lives. Since the domestication of the horse, it has contributed more profoundly to the development of China’s way of life and the process of social history and has also made remarkable contributions to the far-reaching development of ancient Chinese agriculture and industry. Therefore, for different ethnic groups in different regions, their roles in the production of the local people at that time were also varied, so each region gradually formed equine culture in line with its own regional development. Besides, the horse culture has also influenced other aspects of human beings. However, nowadays, with the continuous development of science and technology, the status of horses in human life or production is declining rapidly. The article introduces the connotation and characteristics of equine culture and big data, deeply analyzes the main relationship between big data and ethnic culture communication, the problems of equine culture communication in the current stage, and proposes strategies to solve them, so as to provide a reference for the communication of equine culture under the background of big data in the new era.
Mediating effect of motivation on employees’ performance in a private hospital, Indonesia
Authors: Fahlevi M 
Published: April 2021

Abstract
Quality human resources in a hospital is very important in producing excellent services, both medical personnel those are paramedics and non-medical personnel who work together in one unit that must be developed and maintained well in order to be able to produce excellent service and compete in welcoming the era of globalization. Increased incomes experienced by some people in Indonesia create new lifestyles that are far from health so that greater community vulnerability to disease and this is a new challenge for hospitals to improve services in the health sector. The research seeks to explain important factors that affect employee performance in a private hospital. The novelty of the research is to look for and compare the direct and indirect effects between factors that affect performance, especially the role of motivation as a mediating variable. The research uses 100 samples taken from employees of one private hospital in Indonesia. The result finds out that there is a significant influence between work environment, competence, and motivation on performance both directly and indirectly.
Design of magneto-optic characterization properties of vegetable oil using Faraday rotation method based on microcontroller
Authors: Sulasno M S , Sudarmaji A 
Published: April 2021

Abstract
The research aimed to design and create Faraday’s rotation system as a tool to characterize the magneto-optic properties of vegetable oil. The measured magnitude were the intensity of light, the magnitude of the magnetic field, and the change in the rotation angle of polarization. Measurement of light intensity was carried out using BH1750 as a light sensor, magnetic field measurement was carried out using Gauss meter. Changes in the rotation angle of polarization were made by the stepper motor which drove the lens of the analyzer which had been geared. The light source used was an RGB laser with a power 300mW. Data were collected by the initial condition of the angle between polarizer and analyzer lens at 45°. It can be concluded that Faraday rotation experiment is affected by heat produced by the solenoid and olive oil has magneto-optic property.
Tallinn manual: Cyber warfare in Indonesian regulation
Authors: Pratama B , Bamatraf M 
Published: April 2021

Abstract
Advances in communication information technology have made various infrastructures dependent on cybernetics technology. However, there are threats to the system. One of the threats discussed in the context of the study of international humanitarian law is cybernetics war, which is carried out by high entities such as the state. The threat is coordinated with the armed forces or military in order to gain an advantage over the opponent. Recognizing that there are ever-evolving and very dynamic threats to the sovereignty of the state and nation, in this case by considering advances in internet technology, the government has formulated regulations regarding cyber defence as an effort to overcome cyberattacks that cause disruption to the implementation of national defence, so that it can realized cyber defence (cyber defence). In general, there have been a number of national laws and regulations governing matters relating to activities in cyberspace. The research method of the paper used normative legal research to collect and analyse legal material regarding two main concepts, namely: cyber warfare regulations and information regulations. The nature of legal research was to provide prescription on legal concept or legal phenomenon. The paper finds out that Tallinn Manual is a legal concept that give an instruction to respond cyber-attack, in which the concept can be adopted. In the meantime, in legal vacuum of cyber warfare regulation, the concept inside Tallinn Manual can be interpret to the existing law in Indonesia. Findings in the paper indicates that cyber-attack according to existing regulation can be classified into three categories, namely: ordinary attack, middle attack or terrorism, and massif attack or cyber warfare.
The influence of entrepreneurship orientation and IOT capabilities to sustainable competitive advantage of artisanal fisheries in Indonesia: A case study of Artisanal Fishery in Banten Province
Authors: Barlian E , Mursitama T , Elidjen  , Pradipto Y D , Buana Y 
Published: April 2021

Abstract
Sustainable competitive advantage as the way of winning the dynamic competition consists of many factors that influence the success of its implementation. A quantitative research method was applied to fill the gap of the technology capabilities and entrepreneurship orientation as important factors that influence the sustainable competitive advantage. The research surveyed 106 small scale fishermen to find out how artisanal fishermen as entrepreneur in catch fisheries perceived digital transformation and sustainable competitive advantage The unique proposition of the research was to find how the artisanal fishermen at the province of Banten, Indonesia perceived the Internet of Things Capability (IOT-Capability) or also known as digital transformation supports the sustainable competitive advantage practices in catch fisheries. The results of this research indicate that IOT technology highly influences the sustainable and competitive advantage of the fishery industry. The research finds out that small scale fisher as an entrepreneur believes that entrepreneurship orientation of artisanal fisher positively influences IOT-capabilities and makes it as mediation variable between the fisherman entrepreneurship orientation and sustainable competitive advantage.