Investigating of the climatic parameters effectiveness rate on barley water requirement using the random forest algorithm, Bayesian multiple linear regression and cross-correlation function

Zarei, Amin; Mahmoudi, Mohammad Reza; Shabani, Ali

doi:10.1007/s10333-020-00825-4

Cited by 20 publications

(7 citation statements)

References 37 publications

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“…All 16 managers of the counselor system were selected to conduct one-to-one interviews, with a sample coverage rate of 100%. For the handling of the questionnaire, the Likert 5-point scale method was used [24]: 1 = completely inconsistent; 2 = relatively inconsistent; 3 = normal; 4 = relatively in line; and 5 = completely in line. Among them, completely nonconforming and relatively conforming constitute a negative ratio, and relatively conforming and completely conforming to a positive ratio.…”

Section: Questionnaire Survey and Analysis Ofmentioning

confidence: 99%

The Teaching Capacity of Industry Characteristic Counselors Based on Data Fusion and Random Forest Algorithm

Sun

et al. 2022

Wireless Communications and Mobile Computing

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The good development of industry-specific universities (hereinafter referred to as characteristic universities) promotes the optimal allocation of national university resources and moreover promotes the development of China’s education, while counselors, as important teaching and research staff, have a very close connection with the development level of the school, directly reflecting the quality and level of education of the school and determining the height of its educational development. Talent is the first productive forces, counselors as teaching talents, and is essential to the construction of industry specialty universities. The evaluation index system of teaching ability of counselors can effectively guide counselors toward the path of specialization, scientifically realize career planning, and maximize the achievement of the general goal of the characteristic school they are in. This article aims to assess the teaching capacity of counselors and targeted training capabilities. The counselor’s ability is reflected in the teaching of teaching, completing teaching objectives and cultivates student’s hobbies. In this paper, through investigating the cultivation methods of different industries, the cultivation of counselor’s ability is to assess consensus and establish multilevel teachers’ teaching capacity cultivation system. The results show that the system can effectively improve the teaching capacity of young teachers and increase 20% of student’s satisfaction; however, it also shows that the professional competence of counselors still needs to be improved.

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Section: Questionnaire Survey and Analysis Ofmentioning

confidence: 99%

The Teaching Capacity of Industry Characteristic Counselors Based on Data Fusion and Random Forest Algorithm

Sun

et al. 2022

Wireless Communications and Mobile Computing

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“…Random forest is random in the selection of attributes, and then select an optimal attribute to divide these samples. The principle of random forest is as follows: k samples are extracted from the sample set D (bootstrap is put back for sampling) for training, and then the k decision trees are combined into random forests, so that these decision trees can judge the classification results of each sample separately [43]. If there are many voting results of a certain classification, it will be divided into this category first.…”

Section: Random Forestmentioning

confidence: 99%

Evaluation of Forestry Ecological Efficiency: A Spatiotemporal Empirical Study Based on China’s Provinces

Chen

Yao

2021

Forests

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Forests play a very important role in carbon dioxide emissions and climate change, and the development of China’s forestry is of great significance to our citizens. However, it is an arduous task for us to improve forestry output at a high and good level while taking environmental factors into account. In this paper, the non-expected super-efficiency SBM (slacks-based measure) model was used to measure the forestry ecological efficiency (FEE) of 31 provinces in China from 2004 to 2018, and the spatial and temporal evolution of FEE in different regions of China was analysed by using spatial econometric method. Tobit regression and random forest algorithm were selected to analyze the influence on FEE. The results showed that, firstly, the average annual increase of the national total factor productivity change of China’s forestry was 1.2%, and that the average annual increase of the national total factor productivity change in the eastern region was lower than that in the central and western regions. Secondly, the distribution of China’s FEE of the northeast and the south was higher, and FEE of China’s middle regions was relatively lower in 2004, but then the FEE in Northeast China has decreased, and the FEE has increased gradually from north to south in 2018. The agglomeration of high-tech industries in most regions of China had obvious positive spatial correlation characteristics in 2018. Thirdly, there was a negative correlation between forestry fixed assets investment and FEE, environmental regulation was an important factor affecting the ecological efficiency of forestry in China, and the level of economic development and industrial structure also had a certain impact on FEE.

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“…23 The cross-correlation function can further enhance the characteristics of faults in signals while denoising signals. 17 Give x(t) and y(t) are the original acceleration signal, after ITD, proper rotation components are x i ðtÞ and y i ðtÞ, i = 1, 2, ……M, in which M is the number of decomposition layers of ITD (M = 4 in this paper). When i of x i ðtÞ and y i ðtÞ is the same, the cross-correlation function of x i ðtÞ and y i ðtÞ is…”

Section: Intrinsic Time Scale Decomposition-ccfmentioning

confidence: 99%

“…23 The cross-correlation function can further enhance the characteristics of faults in signals while denoising signals. 17…”

Section: Intrinsic Time Scale Decomposition-cross-correlation Functionmentioning

confidence: 99%

“…16 Cross-correlation function can further enhance the characteristics of faults in signals while denoising signals, it is an information fusion algorithm very suitable for rotating machinery. 17 GelmanLen, et al, proposed a new high-order spectrum cross-correlation technology for gear case diagnosis based on the signals of vibration sensors 18 and applied it to the vibration diagnosis of gear case. To make effective early diagnosis of bearing faults, Andreas Klause, et al, brought forward whitening cross-correlation spectrum method which figures out the cross-correlation function of whitening vibration signals and envelope, and analyzes the advantages of this correlation analysis in details.…”

Section: Introductionmentioning

confidence: 99%

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Research on compound fault diagnosis of rolling bearing based on intrinsic time scale decomposition and information fusion

Guo

2021

Noise & Vibration Worldwide

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In view of the difficulty to effectively extract compound faults of rolling bearing from aero-engine and precisely identify their types, the paper has proposed a method integrating signal separation algorithm and information fusion. Firstly, the method decomposes the vibration acceleration signals collected by sensors from different positions at the same moment based on intrinsic time scale decomposition algorithm. Secondly, cross correlation analysis is given to the proper rotation component (PRC) of the same layer, which are obtained after decomposition and correspond to the sensors from different positions and cross-correlation function is introduced to embody information fusion. Thirdly, signals are reconstructed according to cross-correlation function of each PRC. Finally, based on the frequency spectrum of reconstructed signal, extract the characteristics of rolling bearing and identify the type of faults under different sensor combinations and multiple compound fault types. The result shows, the proposed method can effectively extract the characteristics of compound faults of bearing and precisely identify the type of faults under different sensor combinations and multiple compound fault types of rolling bearing.

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Investigating of the climatic parameters effectiveness rate on barley water requirement using the random forest algorithm, Bayesian multiple linear regression and cross-correlation function

Cited by 20 publications

References 37 publications

The Teaching Capacity of Industry Characteristic Counselors Based on Data Fusion and Random Forest Algorithm

The Teaching Capacity of Industry Characteristic Counselors Based on Data Fusion and Random Forest Algorithm

Evaluation of Forestry Ecological Efficiency: A Spatiotemporal Empirical Study Based on China’s Provinces

Research on compound fault diagnosis of rolling bearing based on intrinsic time scale decomposition and information fusion

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