bluuebunny/crossref_metadata_2025_split huggingface dataset:
An approach to error label discrimination based on joint clustering
Authors: Tan Z M , Liu J Y , Li Q , Wang D Y , Wang C Y 
Published: June 2022

AbstractInaccurate multi-label learning aims at dealing with multi-label data with wrong labels. Error labels in data sets usually result in cognitive bias for objects. To discriminate and correct wrong labels is a significant issue in multi-label learning. In this paper, a joint discrimination model based on fuzzy C-means (FCM) and possible C-means (PCM) is proposed to find wrong labels in data sets. In this model, the connection between samples and their labels is analyzed based on the assumption of consistence between samples and their labels. Samples and labels are clustered by considering this connection in the joint FCM-PCM clustering model. An inconsistence measure between a sample and its label is established to recognize wrong labels. A series of simulated experiments are comparatively implemented on several real multi-label data sets and experimental results show superior performance of the proposed model in comparison with two state of the art methods of mislabeling correction.
Testing homogeneity of high-dimensional covariance matrices under non-normality
Authors: Shen Jieqiong 
Published: June 2022

Abstract
In this paper, we test the homogeneity of multiple covariance matrices when the dimension may exceed the sample sizes. A test statistic is proposed which does not depend on the normality assumption. Furthermore, the asymptotic distribution of the test statistic is derived. Numerical simulations indicate that the proposed test has accurate significance level, and has a greater improvement in power than some existing tests.
The research of begin the Apache Giraph
Authors: Shen Haowei 
Published: June 2022

Abstract
Apache Giraph is an open-source image processing framework built from Apache Hadoop. Apache Giraph is based on bulk synchronous parallel and Google’s Pregel. It is suitable for running large-scale logical calculations, such as page ranking, shared links, personalized ranking, etc. Giraph focuses on social graph computing and is at the core of Facebook’s open graph tool, handling trillions of connections between users and their behaviors in a few minutes. But because the time is limited, the work just has been done with Hadoop. This paper will be mainly talked about Hadoop and how the difficulty to be solved.
Empirical Analysis of Factors Affecting Air Quality in China-Based on the Skew-Normal Spatial Dynamic Panel Data Models
Authors: Yang Yan , Ju Yuanyuan , Wu Liucang , Dai Lin 
Published: June 2022

Abstract
To explore the influence factors of air quality, the air quality data of 31 provincial capitals in China from 2014 to 2019 is studied by introducing skew-normal spatial dynamic panel data models in this paper. A Markov Chain Monte Carlo algorithm is developed to estimate the unknown parameters in the model. The main conclusions of the research are followed. (1) The variation of air quality in China could be well reflected by the skew-normal space dynamic panel data model. (2) PM10 had the most significant influence on air quality among the five air quality indexes, such as SO2, CO, NO2, PM10 and O3. (3) There are significant temporal and spatial correlations on air quality among provincial capitals. (4) In China, the air quality in southern and southwestern is excellent, while the air quality in northern is slightly polluted. These conclusions provide theoretical guidance for improving air quality in China and a scientific basis for making decisions of relevant departments.
Extraction and Analysis of Crowd Activity Vergence Model in Space-Time Vector Field
Authors: Liu Haiyan , Li Jing , Guo Qiang , Zhang Youwei , Lu Chuanwei , Hu Fang , Wu Hongjian 
Published: June 2022

Abstract
The vergence model of crowd activity is one of the core contents of human mobility research. Traditional methods do not consider the mobility of crowd activities in terms of extracting vergence models. In this paper, the model extraction problem is transformed into a time series clustering problem, and the mobility of crowd activities is dynamically modeled by introducing vector field theory. Then, the vergence of the crowd is calculated by the divergence. Finally, a time series composed of the crowd vergence is constructed to obtain the main vergence model of crowd activity through clustering. The method proposed in this paper is experimentally verified on the Didi Chuxing data in Haikou City, and four main vergence models of the crowd activity are extracted, which proves that the method proposed in this paper is effective and provides research ideas and method support for exploring human mobility.
Research on the Variable Weight Combined Prediction Based on the Optimization Weighting Method
Authors: Wang Xiaoli 
Published: June 2022

Abstract
This paper improves fixed weight combined prediction model, which is established on the predicted value of the ARIMA model and the predicted value of the BP neural network model. Based on the minimum sum of error squares, the time varying optimal weight of the combined prediction model is determined, variable weight combined prediction model is constructed. Based on the analysis of the change rule of Shaanxi province’s GDP over the years, the combined model is used to fit Shaanxi province GDP from 2018 to 2021.The result shows that the fitting errors are 0.11%, 0.01, 0.01% and 0.11%, respectively. The variable weight combined model is used to predict Shaanxi province GDP from 2022 to 2023, which is 29502 billion and 31301 billion respectively. Compared with the ARIMA and BP models, variable weight combined model improves the prediction effect.
Dynamic Optimization Method of High-speed Solenoid Valve Parameters
Authors: Feng Yulong , Xu Tao , Dai Yang 
Published: June 2022

Abstract
The high-speed solenoid valve is the core component of the cotton foreign fiber machine, and its dynamic response characteristics of high-speed air flow at the inlet and outlet are the key to determine the accuracy of foreign fiber strike. In order to improve the dynamic response performance of high-speed solenoid valve under variable working conditions, based on the electromagnetic action mechanism of solenoid valve, the parameter analysis model of high-speed solenoid valve for outlet pressure optimization is established in COMSOL. Taking the inlet pressure and driving voltage of solenoid valve as the system optimization variables, the high-speed response law of outlet pressure rise lag time and outlet pressure change is obtained. The simulation result shows that when the driving voltage of solenoid valve changes from 21V to 27V, the lag time of outlet pressure rise decreases by 57.8%. When the inlet pressure increases from 2 bar to 7 bar, the lag time of outlet pressure rise decreases by 48.14% and the change rate of inlet and outlet differential pressure decreases by 8.4%. The dynamic optimization test system of high-speed solenoid valve parameters is built to verify the simulation results, and the change trend consistent with the simulation results is obtained.
Research on fault diagnosis method of radar antenna transmission gear based on motor current characteristics
Authors: Song Yawei , Hua Liangfa , Yan Kai , Han Wei , Zhu Pei , Ye Zehao 
Published: June 2022

Abstract
In order to complete the monitoring and early warning of radar antenna transmission device with more and more frequent faults, a gear fault judgment method suitable for radar equipment is proposed in this paper. According to the fault characteristics of radar antenna transmission gear, the motor current frequency difference of transmission mechanism under normal and fault conditions is compared, and the simulation experiment is completed. The simulation results verify the feasibility and correctness of this method.
Structure Optimization and Numerical Simulation of Micro Gas Turbine Regenerator
Authors: Wang Chongyang , Jiang Weiting , Pan Weiguo , He Tingni 
Published: June 2022

Abstract
In this paper, we mainly study the flow and heat transfer performance of a 300kW micro gas turbine plate regenerator. We built three-dimensional structural models of high-temperature single-channel, low-temperature single-channel, and heat exchange units. In the meantime, large-scale commercial CFD software is used for numerical simulation analysis. We have optimized the channel structure in the low-temperature side guide zone. The results show that: the pressure loss of the low-temperature side channel is reduced by 18.7%, and the efficiency of the regenerator is increased by 0.02%.
Reliability Relation Extraction Technology of Power Distribution Equipment Based on Machine Learning
Authors: Dai Zikuo , Xu Yan , Shi Kejian , You Yang , Li Bingxin 
Published: June 2022

Abstract
As the key link of power transmission in the power distribution system, the distribution transformer is the core of the entire power distribution system and is responsible for the electrical connection between the medium voltage side and the low voltage side, and based on this to further ensure the stable operation of the power distribution system. Data types, sources, selection principles and data processing methods relate to the operating state of distribution transformers; then expound the meaning of operating state indicators, and build a distribution transformer operating state index model; finally, an improved weight method is used to determine the distribution transformers of the weight coefficient of the running status indicator. Therefore, it is appropriate to verify the membership function and membership matrix selected in this paper. It is suitable for the fuzzy comprehensive evaluation calculation of the reliability of distribution transformers, which verifies the accuracy of the reliability evaluation results. The maintenance strategy of distribution transformers based on reliability assessment can be optimized according to the operation status of the equipment so as to improve the operation reliability of distribution transformers and ensure the safe, reliable and economical operation of the equipment. The maintenance strategy of distribution transformers based on reliability assessment can be optimized according to the operation status of the equipment, which is to improve the operation reliability of distribution transformers and ensure the safe, reliable and economical operation of the equipment.
Integrated control method for electromagnetic compatibility of lift facility control system for naval craft
Authors: Yan Xuefan 
Published: June 2022

Abstract
Lifting facilities electromechanical servo system has a compact structure, high specific power, high control accuracy, low vibration and noise, high reliability. In recent years, small and medium power electromechanical servo systems have been widely used in the aerospace field, and the application of distributed high-power electromechanical servo systems in the naval field to replace the traditional valve-controlled centralized ship-wide hydraulic servo system has a broad application prospect, becoming one of the important links to achieve a new generation of "all-electric" ships. But along with the power level, electromechanical servo system electromagnetic compatibility problems are increasingly prominent, and must be considered from the system design in a comprehensive manner. This paper takes a ship electromechanical servo system as an example, starts from the system functional unit, combines the ship and servo system electromagnetic environment characteristics, sorts out the key links of each unit electromagnetic compatibility control, and takes targeted measures in the electromagnetic compatibility design, the product finally passed the electromagnetic compatibility test, which can provide reference for electromechanical servo system electromagnetic compatibility design.
PI parameter optimization of Asynchronous motor vector control based on MIGA
Authors: Jing Bowen , Guo Zhijun , Wu Jingbo 
Published: June 2022

Abstract
In motor control, the stable control of motor speed and the stability in the face of sudden torque are two important indicators to evaluate the quality of the control system. This paper proposes a multi-island genetic algorithm (MIGA) and fuzzy PI vector control algorithm. Combined with the asynchronous motor control method, the simulation test and bench test are carried out. Taking the Integral Time Multiplied by the Absolute Value of Error (ITAE) minimum as the optimization goal, the MIGA optimization algorithm is used to obtain the optimal solution for the quantization factors ke0, kec0
, proportional factors kup, kui
of the fuzzy PI controller. The optimal parameters are imported into the asynchronous motor control model for simulation verification and bench test verification. The simulation test shows that the fuzzy PI control method optimized by MIGA can effectively reduce the speed rise time, overshoot and steady-state error. When the load is suddenly applied, the speed drop is 5.16 r/min, and the adjustment time is 0.015s. The bench test shows that: under the changing load, the change trend of the speed curve of the simulation and the test is basically the same, which proves the correctness and effectiveness of the algorithm proposed in this paper.
Study on influencing factors of trailing edge flow characteristics of transonic micro turbine rotor
Authors: Sun Xiang-Lin , Xia Chen , Chen Jin-Wen 
Published: June 2022

Abstract
In order to meet the needs of the development of high-performance micro-engine, the micro-turbine is faced with the technical challenge of high-load and transonic flow. At present, the flow characteristics and loss mechanism of high-load micro-impeller are not clear. In this paper, the flow characteristics of high-load micro-turbine rotor are studied. The results show that the loss in rotor trailing edge is the main factor that affect the operation of the micro transonic turbine, and the key to reduce the loss is to reduce the wake diffusion range and the Mach number in front of the extended shock wave. By adjusting the local curvature of the front in front of the incident point of the back-extension wave in the throat of the suction surface, the convergent-divergent ratio is in the range of 1.04 ~ 1.08. Meanwhile, the Mach number of wave front can be reduced by 3.4% and the reflection of trailing edge inward extension can be effectively suppressed, and the total rotor pressure loss coefficient can be reduced by 14.1% at most. The thickness has an important effect on the wave strength and wake loss in the trailing edge. When the relative thickness of the trailing edge decreases by 50%, the maximum Mach number on the suction surface decreases by 7.8%, the turbine stage efficiency increases by 1.92%, and the relative thickness of trailing edge is 0.124~0.185, the studied micro-transonic turbine performs better.
Research on Acoustic Characteristics of Low-noise Modular Hydraulic Power Unit
Authors: Wang Nei , Qian Yuan , Xiang Chao , Liu Yiou , Mao Xuyao 
Published: June 2022

Abstract
As the power source of a hydraulic system, hydraulic power unit also act as the main vibration and noise source. In this paper, systematic noise source characteristic and vibration performance of the low-noise modular hydraulic power unit are analysed, and specific measures to reduce vibration noise in the design process are studied. Firstly, through dry and wet mode analysis of the system, it is proved that the optimization of the pipeline and the oil tank separator plates should be emphasized in the system design. Based on that, by identifying the exciting forces of the motor and applying them to the analysis model, the vertical acceleration vibration response of 16 measuring points could be calculated. The results show that the attenuation of shaft frequency vibration noise should be focused in the acoustic design of the system. Above all, this paper provides a way in low-noise modular hydraulic power unit design.
Hybrids acceptance tools for the CMS Phase-2 Tracker Upgrade
Authors: Hollos A. , Blanchot G. , Kovacs M. , Loutit M. , Makarenko I. , Mateos I. , Otarid Y. , Seif El Nasr S. , Zografos A. 
Published: June 2022

Abstract
Up to fifty thousand front-end and service hybrids are required for the CMS Outer Tracker Phase-2 Upgrade. These hybrids, which are built on carbon fibre stiffened circuits and contain several flip-chip ASICs, will be glued in module structures, making repairs almost impossible. Due to their complexity, testing within production is a very important aspect. A multiplexed testing infrastructure, based on custom crates and test cards, is presented. This testing hardware is supported by software tools to enable the exhaustive verification of hybrids at the manufacturing sites and for their acceptance within the collaboration.
The development of the alarm system for HLS-II
Authors: Xu S. , Liu G.F. , Gan Y.F. , Qin T. , Xuan K. , Li C. , Li W.M. , Sun X.K. 
Published: June 2022

Abstract
Hefei Light Source II (HLS-II) is a vacuum ultraviolet synchrotron light source. The control system of HLS-II is a distributed system based on the experimental physics and industrial control system (EPICS). The alarm system of HLS-II is responsible for monitoring the alarm state of the facility and distributing the alarm message in time. It facilitates the operator to troubleshoot problem efficiently, so as to improve the availability of HLS-II. Phoebus/Alarms (Alarms) is the latest alarm software released in EPICS community. Based on Alarms, the alarm system of HLS-II is designed, developed and deployed. The alarm distribution strategy is designed from the perspective of the HLS-II operation mode, alarm severity and alarm representative to overcome alarm floods. The 3 ways to distribute the alarm message are added to the HLS-II alarm system, which include WeChat, SMS and web-based GUI. In order to configure alarm options efficiently and conveniently, an alarm configuration management tool is developed based on the MySQL database and Browser/Server architecture. The alarm system of HLS-II has been deployed since November 2021. The result indicates that the alarm system is effective and convenient to operate.
Asymmetric restart in a stochastic climate model: A theoretical perspective to prevent the abnormal precipitation accumulation caused by global warming
Authors: Ali Syed Yunus , Choudhury Nabadip , Mondal Debasish 
Published: June 2022

Abstract
The continuous heating of the Earth’s surface and aerosphere causes global warming. Recent developments predict that at the end of the twenty-first century, with 3 °C on average global warming will yield a regional augmentation in the probability of the abnormally large precipitation accumulation in a single downpour event. We examine this issue using a stochastic climate model and provide a theoretical scheme to the increased possibility of cloudburst in a single rainfall event. We find that implementing a permanent upper cut-off in column integrated water vapour or an asymmetric stochastic resetting can reduce the abnormally high accumulation probability of such rainstorms. We report that an optimum upper limit of column integrated water vapour in the atmosphere ascertain the decrease in the heavy precipitation-accumulation. The presence of such a perpetual upper ceiling in the moisture content is energy exorbitant and can significantly affect the mean downpour. A careful choice of the system parameters ensures the decrease in mean accumulation size within a ten per cent tolerance limit. We introduce an asymmetric stochastic resetting to the amount of column integrated water vapour at its upper threshold to recompense the energy cost. We perceive that an adaptive restart rate is efficient enough to reduce the probability of targeted precipitation accumulation to the desired extent.
Mapping Study on Market Potential and Market Chain for Seaweed in Alor Regency, East Nusa Tenggara Province
Authors: Wabang Imanuel Lamma , Plaimo Paulus Edison , Hendrizal Andri , Alelang Isak Feridikson , Peny Theresia Lounggina Luisa 
Published: June 2022

Abstract
Seaweed is a significant economic product that should be promoted. A transparent trading system, which is intended to support the growth and development of seaweed production on a greater scale, is one of the main criteria for providing stronger value to cultivators. This is a benefit that the Indonesian people, in general, can take advantage of to their fullest potential. In June 2021, a survey will be conducted in Alor Regency, Nusa Tenggara Timur Province, to map market potential and market chains. Seaweed farmers and traders interested in seaweed marketing made up the study’s population. The sampling method used the snowball sampling method, namely the first level sampling, in this case, was seaweed farmers determined by simple random sampling, while the next sample, in this case, was traders determined by farmers where farmer s who had selected are identified (excavated data). The goal of doing a market chain research and business strategy for seaweed commodities is to have a more complete picture of the potential, obstacles, and restrictions of developing seaweed production in the Alor Regency. Based on observations and interviews with farmers, it appears that the seaweed marketing chain begins with producers as seaweed farmers, followed by middleman traders (village collectors), i. e. traders who buy directly from village farmers. Also, there are inter-island collectors/collectors (PAP), who are traders who purchase seaweed from middlemen/seaweed collector traders and also farmers, most of whom are based in Alor, the sub-district capital. Collector traders have a great deal of money, so they can keep seaweed temporarily as they wait for a reasonable price or a better price.
Veris 3100 Application for Determining the Fertility of Rice Fields Before Land Preparation
Authors: Setiawan RPA , Desrial  , Solahudin M , Astika I W , Widodo S , Danindra D 
Published: June 2022

Abstract
Agriculture 4.0 demands the continuous development of technology and science in agriculture. Agriculture 4.0 applies the use of the latest technology to increase efficiency in agriculture both in terms of on-farm and off-farm. Provision of fertilizers and plant nutrients is an important factor in plant growth, but the fertilizer and nutrient needs of each block of the plant have different amounts depending on the condition of the soil condition and environment such as local climate. Generally physical and chemical measurements of soil done in laboratory which are laborious in sampling, takes a long time for analysis and costly. Nowadays there are some EC, PH, moisture sensor based on probe. However, this method cannot give results in real time also. Electrical conductivity of the soil (EC) has closed relation with physical and chemical properties of soil. Veris-3100 is one instrument that can measure EC for those purposes. This paper describes the correlation of measured EC by Veris-3100 and spot measurements of soil bulk density, cone index, pH and measured EC by probes.