bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overview Of Measurement And Evaluation Methods Of Wind Farm And System Inertia Under Large-scale Wind Power Grid Connection
Authors: Ye Peng , Yang Hong yu , Wang Shi cheng , Qian Xiao yi , Wang Xue jie , Sun Feng , Zhang Qiang 
Published: February 2022

Abstract
With the large-scale development of new energy, large-scale wind power is incorporated into the power grid, the inertia level of the power system continues to decrease, the system regulation ability continues to weaken, and the system stability is seriously challenged. The evaluation of inertia has become a hot research issue for scholars. Firstly, this paper introduces the basic concept and components of power system inertia. Then, the different methods of inertia measurement and evaluation of wind farm and power system are reviewed. Finally, the future research directions in the field of power system inertia evaluation are summarized.
Power load forecasting and interpretable models based on GS_XGBoost and SHAP
Authors: Li Mingming , Wang Yulu 
Published: February 2022

Abstract
At present, the prediction accuracy of the power load prediction model is not high and the black box model prediction results are not explanatory, so this paper proposes an improved XGBoost based grid search for power load forecasting model (GS-XGBoost), and uses SHAP for model analysis and interpretation to show the impact of the feature set on the model in a visual way according to the marginal contribution of power load feature samples The impact of the prediction results is shown in a visual way to improve the interpretability of the model, and the key factors affecting the electricity load are identified based on the ranking results of the feature importance to provide decision support for the power system equipment maintenance plan, guide the formulation of strategies related to electricity production, resource procurement and pricing, and avoid market risks. In this paper, the electricity consumption dataset of an enterprise in Jiangsu is used as the research object, and the dataset is pre-processed with unique thermal coding, outlier analysis, null filling, and standardization. Through experimental comparison, the GS-XGBoost load forecasting model has the best prediction accuracy compared to SVR, random forest, decision tree, and XGBoost machine learning models, and then SHAP is applied to interpret the model and improve the model interpretability.
System Design of Automatic Parking Assist Based on ISO26262
Authors: Kuang Xiaojun , Zhang Yafei , Wang Xiyang 
Published: February 2022

Abstract
The technology of intelligent driving cars is one of the key technologies of current automobile development, and the automatic parking assist system (APA, Auto Parking Assist) is a representative function of low-speed automatic driving. In order to improve the safety and reliability of the APA system, a hazard analysis and risk assessment of the APA system was carried out based on ISO 26262, safety objectives and functional safety requirements were derived, and then technical safety requirements were put forward and the system architecture design was carried out. And from the software point of view, the algorithmic design of the horizontal parking function is carried out, which further illustrates the feasibility of the technology.
Analysis of wellbore stability of gas underbalanced drilling technology
Authors: Zhao Lei , Bao Aihua , Cao Jingxin 
Published: February 2022

Abstract
Gas underbalanced drilling technology has the advantages of high ROP and little damage to oil and gas reservoirs. In recent years, it has been widely used in the exploration and development of oil and gas fields in China. Under normal air drilling conditions, the pore pressure is basically zero, so it is necessary to establish the wellbore stability model under the condition of zero pore pressure to provide theoretical support for the wellbore stability analysis of air drilling. However, gas underbalanced drilling also has wellbore instability, more sand deposition at the bottom of the well, and even the malignant accident of sticking. Firstly, through the analysis of the traditional wellbore stability model, the influence of pore pressure is removed, and the wellbore stability model suitable for air drilling is obtained. At the same time, it is proposed that the sand deposition is mainly caused by the collapse material when the collapse ellipse is formed on the shaft wall, and the formation of the collapse ellipse is conducive to maintaining the stability of the shaft wall. For large and medium-sized gravel layers, the influence of cementation strength on wellbore stability should be considered.
A Flexible Control Strategy of Air-Conditioning Cluster Participating in Primary Frequency Modulation
Authors: Li Lei , Wang Chaoliang , Chen Songsong , Chen Lingyu 
Published: February 2022

Abstract
As renewable energy resources are gradually connected to the grid, demand response gradually develops and expands. As a response resource with a huge proportion of the load, the role of air-conditioning load is gradually being valued. The paper first describes the equivalent thermal parameter model of the air-conditioning load. Then, an air-conditioning cluster aggregation model is established based on Monte Carlo with uncertainties considered. Finally, the paper proposes a flexible trigger frequency setting method to provide a relatively consistent amount of adjustment in different situations. And the simulation proves the effectiveness of the method.
Design and Realization of Intelligent Aero-engine DDPG Controller
Authors: Qian Rong-rong , Feng Yimin , Jiang Mengman , Liu Lijun 
Published: February 2022

Abstract
As the artificial intelligence technology advances, intellectualization has become an important development trend for the future aero-engine industry. The intelligent aero-engine will bring a new round of technology revolution in aviation industry. Since an aero-engine is a complex system with strong nonlinearity and coupling, it is difficult to achieve the optimal control performance with traditional PI control. Therefore, the DDPG (Deep Deterministic Policy Gradient, DDPG) algorithm belonging to the family of Deep Reinforcement Learning is hereby proposed for designing aero-engine controller. Based on the non-linear polynomial state-space mathematical model of JT9D turbofan engine, the intelligent DDPG controller is designed and then compared with the performance of PI controller. The proposed controller can achieve the optimal control effect for aero-engine through the training the neural network. The simulation results demonstrates that compared with PI control, the control method proposed in this paper achieves superior control performance in response speed, overshoot and anti-interference ability.
Cosmological Simulations and Models of Galaxy Formulation
Authors: Han Shichao , Sun Weicheng , Xiong Binsong 
Published: February 2022

Abstract
Cosmological simulation has become the most efficient and advanced method to investigate the fundamental principle and physical model of the universe. Galaxy formulation is one of the most significant characters in this field, which attracts lots of attention. However, it is challenging to establish a proper model of galaxy simulation. Besides, a lot of investment is required to solve the problem of modelling dark matter, dark energy, and ordinary matter. This review introduces the most widely accepted cosmological models and galaxy formation procedures. Moreover, discussions and comparisons are presented for several advanced simulation methods. These results evaluate milestones in the development of cosmological numerical simulation objectively and will offer a guideline for the development of galaxy formation.
Structure Optimization Design of Screw Conveyor based on EDEM
Authors: Zhao Renfeng , Guo Lei , Gao Weicheng , Xiao Xudong , Liu Yanwei 
Published: February 2022

Abstract
Screw conveyors are widely used in the transportation of various media in the industry because of their simple structure and low cost. However, some special powders are prone to accumulation during transportation due to their low density, large angle of repose, and poor fluidity, resulting in low transportation accuracy and unable to meet actual working conditions. In this paper, the discrete element method is used to simulate and analyze the powder transportation. The three-dimensional model of the screw conveyor is established and imported into the EDEM software for simulation simulation. The key parameters of the screw conveyor are screw inner diameter, pitch and speed as design variables. Hand in the experiment, and get the optimal solution of the variable parameters through the experimental results.
The Design of A Rheological Model for Semisolid Metal Slurries
Authors: Ju Liping , Luo Hongchao , Guan Yanlong 
Published: February 2022

Abstract
An improved rheological model is obtained to perfect the formula of agglomeration, deagglomeration and stacking mode of particles based on a previous model with the experimental data and statistical mechanics. It is believed that the time evolution of the microstructure determines the rheological behaviour of semisolid metal (SSM), and the effective solid volume fraction connect them perfectly. The new model can describe the time-dependent and time- independent rheological behaviour under a uniform theory. Then, the study on AlSi4Mg2 alloy shows that the predicted apparent viscosity agrees well with the experimental results. The correlation between the apparent viscosity and its microstructure is also identified. This verifies the reliability of the present model.
Vibration Analysis and Control of the Suspension System of the Drum Washing Machine by Applying SMA
Authors: Sun Hao 
Published: February 2022

Abstract
The suspension system of the drum washing machine is the object of study. To reduce the vibration of drum washing machines during high-speed dehydration, a shape memory alloy is proposed to be used to make suspension spring. The spring stiffness can be controlled according to the characteristic that the elastic modulus of SMA varies with temperature to achieve damping effect. The mathematical model and multi-body dynamics simulation model are established for the suspension system of the drum washing machine, the vibration generation mechanism of the drum washing machine and the SMA active vibration control principle are analyzed, and the vibration control effect of the SMA suspension spring is studied for different speed simulations. The results show that the SMA variable stiffness suspension spring has a significant vibration control effect compared with the spring of general material.
Research Status of Titanium Diboride High Temperature Ceramics
Authors: Tang Liangliang , Lin Bingtao , Zhang Baohong , Zhang Danhua , Gong Yanfei , Xiong Ning 
Published: February 2022

Abstract
Titanium diboride has a series of excellent physical and chemical properties, high melting point and hardness, good thermal stability and oxidation resistance. As an excellent hard phase, titanium diboride is used in new materials such as composite materials and cermet. It has a wide prospect in the application of high-temperature ceramics. In this paper, the research status, performance structure, preparation method and application of titanium boride high-temperature ceramics are analyzed and summarized from the overall point of view, and the main problems faced by titanium boride at present are also discussed. Finally, the future research direction of titanium boride high temperature ceramics is discussed.
Quantitative investigation of influence of Al2O3 non-metallic inclusions on bending strength of powder metallurgy highspeed steel
Authors: Hu Qipeng , Chen Yunbo , Wang Miaohui , Ge Xueyuan , Liu Hengsan , Zuo Lingli , Zhang Dongyue 
Published: February 2022

Abstract
The types, dimensions and quantities of inclusions have been examined to quantitatively investigate their influence on the bending strength and impact toughness of HIPed high-speed steel. MgSiO3 inclusion was found to be less harmful than Al2O3 inclusion in terms of mechanical properties. Additionally, the inclusion of Al2O3 of 0-20 μm under 0.02 vol.% showed a slight influence on the bending strength of certain HSS.
Dispersionless transport in washboard potentials revisited
Authors: Marchenko I G , Aksenova V Yu , Marchenko I I , Zhiglo A V 
Published: February 2022

Abstract
We reassess the ‘dispersionless transport regime’ of Brownian particles in tilted periodic potentials. We show that the particles exhibit normal diffusive motion right after transitioning into the running state dragged by the constant bias force. No special transient dynamics appears, contrary to conjectures in the previous studies. The observed flat segment in the dispersion evolution curve is solely due to the broad spatial distribution of particles formed in the early superdiffusion stage. We quantitatively describe the whole evolution of the distribution function during superdiffusion and the transition to the normal diffusion that follows, in the framework of the two-well potential in the velocity space model. We show that the superdiffusion exponent is α = 3. The duration of the ostensible ‘dispersionless regime’ is derived analytically. It is shown to diverge exponentially as the temperature decreases to zero.
Farmer’s Adaptation to Climate Change as Strategy to Achieve Food Security
Authors: Barokatuminalloh  , Purwaningsih Y , Daerobi A , Mulyaningsih T 
Published: February 2022

AbstractClimate change characterized by an increase in temperature and changes in rainfall impacts human life, one of which is food security. One of the keys to increasing food security during climate change is implementing adaptation. However, selection of appropriate adaptation strategies—i.e., better varieties, diversification of crops and shifting planting times—has positive impact on household food security. This study examines the effect of adaptation to climate change on rice farmer's household food security in the Banyumas Regency. Target populations are farmer households on fertile land (Sumbang Village and Banteran Village) and farmer households on infertile land (Lumbir Village and Cingebul Village). The selection of the targeted population is based on soil fertility, as it will affect the choice of adaptation strategies. Logit regression is employed to analyze the effect of adaptation options on household food security based on two aspects. Those are food availability and food access. Apart from being food producers, farmers are also consumers. The results show that the adaptation options—i.e., irrigation access, age, household size, farm income, income other than farming, asset ownership, and food expenditure—affect household food security in terms of food availability. On the other hand, the size of the household and income other than farms affect household food security in terms of food accessibility. The policy implication is that farmers pay more attention to climate change and implement appropriate adaptation strategies according to land conditions and farmers' resources.
Covid-19: Opportunity and Effect on Farming Sector
Authors: Demartoto A 
Published: February 2022

Abstract
Farming sector becomes the community’s priority as it gives opportunity and feeling of secure concerning basic needs. However, during Covid-19 pandemic, farming sector also affects community less positively. This research studies phenomenon related to opportunity and effect of farming sector during Covid-19 in Karanganyar, Indonesia. Object of this case study research was farmers’ behavior in utilizing opportunity and effect of farming sector sustainability in Covid-19 era in Karanganyar, Indonesia, analyzed using Homans’ social exchange theory. Data collection was conducted using in-depth interview and observation, and study documentation. The result showed that farmers in Karanganyar can fulfill daily needs and can survive from the Covid-19 pandemic-induced crisis. However, farming production runs more slowly during pandemic and decreases quantitatively; thereby affecting product and service supply and demand stabilities. People, as consumers, fulfilling the food need difficultly due to some restrictions and abnormal market mechanism. Another social effect is the decreased social solidarity between farmers. Covid-19 spreads and transmits quickly, including among farmers. The farmers’ low awareness of complying with health protocol during working is a factor making the disease transmitting quickly. Therefore, socialization should be made on Covid-19 prevention and handling in farmer community.
Biodegradable Pot (Biopot) Made from Water Hyacinth and Banana Pseudostem as Polybag Substitution for Cocoa (Theobroma Cacao L.) Nursery
Authors: Iriany A , Chanan M , Hasanah F , Hariyanti N Y 
Published: February 2022

Abstract
The plant nursery is an important cultivation phase to improve the quality of cocoa. However, the conventional nursery container namely polybag has the potential risk to contaminate the environment if the waste is wrongfully handled. A biodegradable pot (BioPot) is a satisfactory alternative nursery container considering its plantable and degradable characteristics. This study aimed to investigate the effect of BioPot compositions and size to support the growth of cocoa (Theobroma cacao L.) seedling as polybag substitution. This research was conducted using a randomized complete design with 1 control (polybag) and 15 treatments combination. The treatments consisted of 5 BioPot compositions (percentage of water hyacinth and banana pseudostem range from 30-70%) and 3 BioPot size (width 5,5 cm and length range from 10.5-11.5 cm). The seedling growth data were analyzed using ANOVA then by means using HSD (Tukey test) and Dunnet test at a 5%. The results showed that the several BioPot compositions and size produced equal seedling quality to polybag and not statistically different based on seedling growth variables. This finding confirmed that the all tested BioPot compositions and size in this study, customized and adjusted according to the raw aterials availability, can be used as polybag substitutes for cocoa nurseries. The implication of this study is the use of BioPot for seedling container that support environmentally sustainable agriculture especially in plant nurseries.
The Diversity and Classification of Tea Germplasm Based on Morpho-Agronomic Characteristics
Authors: Wibowo N A , Martono B 
Published: February 2022

Abstract
The information on diversity needs to be disclosed as a basis for consideration in the use of genetic resources. The objective of this study is to reveal the diversity and the classification of tea germplasm based on morpho-agronomic characteristics. The experiment was carried out from June to December 2018 in Gunung Putri Experimental Garden, Cianjur, West Java, Indonesia. The materials of the study used were 13 first generation tea clones. The research used was the observation method.s. The level of kinship among the clones was calculated using cluster analysis with the PBSTAT program. The results of observations showed that there was a diversity of leaf margin characteristics, leaf shape, mature leaf color, and immature leaf color. The high diversity was seen in pecco+2 weight, pecco+3 weight, and petiole length. The highest weight of pecco+3 was found in clone Cin 1. The coefficient of dissimilarity of 0.34 was divided into 2 main groups. Group I consisted of the clone Cin 1 and the clone Cin 28. The second group consisted of 11 tea clones. The clone Cin 1 and the clone Cin 28 and the clone Mal 17 are the tea clones with the smallest similarity values.
Molecular Identification of Potential Rhizobacteria Isolated from Maize (Zea mays L.)
Authors: Ikhwan A , Septia E D , Novita B A 
Published: February 2022

Abstract
Maize (Zea mays L.) is one of the highly demanding food plants in Indonesia but the production is currently not sufficient to meet the community's needs, so that efforts to import maize in Indonesia are still frequently carried out. Meanwhile, the maize production who mostly produced by local farmer mainly cultivated on marginal land which is threatened by drought stress. Efforts should be make to increase maize productivity on dry land by utilization of rhizobacteria isolated from maize rhizosphere. This study aimed to determine the types of rhizobacteria from the diversity of microbes that potentially increase the productivity of maize plants. This study used 2 isolation methods, namely isolation on gram-positive and gram-negative, followed by electrophoresis and PCR with primers of 27F and 1492R. Then the PCR results were sequenced and analyzed using Mega X. The sequencing results compared with Genbank at NCBI showed 10 isolates that have been shown to have closeness to several strains of bacteria, such as Raoultella terrigena, Serratia marcescens, Serratia nematodiphila, Enterobacter hormaechei, Enterobacter cancerogenous, Enterobacter cloacae, Enterobacter asburiae, Citrobacter murliniae, Pseudomonas fluorescens. depicted in phylogenetic analysis. Based on the phylogenetic analysis, the L5S2 10-7 isolate has similarities with the Enterobacter asburiae strain, while the L2S1 10-6 isolate is closely related to the Enterobacter cancergenous strain, Then the Citrobacter murliniae strains were closely related to L5S5 10-8 and L1S3 10-7 isolates. In addition, the Enterobacter hormaechei strain also has a close relationship with isolate L3S1 10-8, and the Raoultella terrigena strain has a close relationship with isolate L5S2 10-6. The L1S5 10-6 and L3S5 10-7 isolates had the same similarity based on genetic characters but had different abilities in helping the performance of plants belonging to the rhizobacteria group.
Microclimate Dynamics In Sweet Corn Intercropping with Various Legumes
Authors: Setiawan A N 
Published: February 2022

Abstract
Sweet corn is generally grown in monoculture with wide spacing because it is easier to do but less effective and efficient in using resources, which cause the microclimate around sweet corn to be not optimal for its growth. Intercropping can improve the microclimate due to the presence of intercrops between the sweet corn. The type of intercrops affect the microclimate around sweet corn. This research aims to determine the effect of various legumes on the abiotic environment and find the legumes that can create an optimal abiotic environment for sweet corn. This research was conducted in 2019 using a single factor experimental method that arranged in a complete randomized block design with three blocks as replications. The treatments were legumes consisting of peanuts, soybeans, cowpeas, red beans, and mung beans. In addition, sweet corn is also planted in monoculture as a control. The research results showed that legumes among sweet corn could decrease daylight intensity above soil level with the most significant light extinction coefficient on the intercropping of sweet corn with soybeans, but has no significant effect on soil temperature and humidity. Soybeans and cowpeas are more suitable as intercrops on sweet corn intercropping to improve the environment.