Index Evaluation Model Research Articles

The impact of COVID-19 on farmers' economic income in Hubei Province of China

This paper discusses the statistical measurement of the impact of COVID-19 majoremergencies on farmers' economic income in Hubei Province. Hubei Province wasselected as the object of analysis, and five data of total output value of agriculture,forestry, animal husbandry, fishery and per capita disposable income of farmers inHubei Province from the first quarter of 2013 to the second quarter of 2020 werecollected by using the Internet. Since all the collected data were macroeconomic data,these data were taken the logarithm to meet the economic significance.The per capita disposable income of farmers was taken as the response variable, andthe main factors affecting farmers' income were obtained by factor analysis.Livestock husbandry and fishery industries were the main industries in HubeiProvince. Then the score of factor analysis were taken as explained variable toestablish regression model composed of influencing factors. This paper use themultiple linear regression, support vector regression to fitting and forecasting data,ARIMA model of time series analysis, introduced at the same time, through the AICmodel choice, with the first quarter of 2013 to 2019 in the second quarter fittingtraining, backward prediction two quarters, and three or four quarter of 2019compared with the real data, through to the predicted results of the sequence diagramand evaluation index model to compare the mean square error (RMSE).Three models predict per capita disposable income of farmers in the first and secondquarter of 2020. It has been found that performance better ARIMA model in themodel compare is worse than before, and three kinds of predicted values are higherthan the real value of the model, showed the outbreak to the influence of theagricultural economy in hubei province is serious.On this basis, taking into accountthe characteristics of geomorphic climate in Hubei province, the constructivesuggestions are put forward.

The Use of Machine Learning Combined with Data Mining Technology in Financial Risk Prevention

In order to improve the ability of enterprises to deal with financial risks, reduce labor costs, reduce financial losses, increase investors' trust in enterprise finance, and establish a comprehensive enterprise financial risk evaluation index system, the deep learning technology and data mining method under the artificial intelligence environment are applied to the financial risk analysis of listed companies. Under this background, an analysis method of financial risk prevention based on interactive mining is put forward. Around the various financial risks faced by listed companies, a special risk analysis model is established to analyze the key factors. Through the empirical analysis of 21 listed companies, rules with high trust are found, and the financial crisis of listed companies is forewarned in time. The results show that the financial risk evaluation index system of four dimensions of solvency, operation ability, profitability, growth ability and cash flow ability can affect the financial risk of enterprises. Compared with the traditional data mining algorithm, the algorithm of financial risk index evaluation model constructed in this exploration has the best performance, and the average detection accuracy is 90.27%. The accuracy of the model can be improved by 30%. The results show that the weight of each variable is good, and all of them pass the consistency test. The evaluation effect is high, and the relative error is 1.55%, which proves the rationality and accuracy of the model. The financial risk prevention model based on deep learning and data mining technology can provide a theoretical basis for the research of enterprise financial risk prevention.

Uncertainty failure risk quantitative assessments for underground gas storage near-wellbore area

The injection and withdrawal wells of underground gas storage (UGS) are prone to weakening the sealing performance of faults and cementation planes, under multiple rounds of injection-withdrawal alternations. To comprehensively quantify the stability of these weak planes under injection-withdrawal, the uncertainty quantification method is used to analyse the risk sensitivity of failure in the near-wellbore area (NWA). Based on the inversion technique of uncertain crustal stress intervals, three-dimensional Mohr-Coulomb and polar projection charts, high-precision geological modelling fault dip sampling point data and multidimensional technical evaluation index models are established. An uncertainty quantitative index of the shear slip failure risk of a borehole section under a coupled dynamic fluid pressure alternating with in-situ stress is constructed. A mechanical integrity analysis of the NWA weak planes, formation wellbore, and cement sheath is conducted. The stress change interval in NWA under alternate injection-withdrawal changes is then determined. Based on the quantitative analysis of the deterministic parameters and uncertainties, approximate results are obtained. The interval range of the wellbore stress change in the NWA provides a reference and optimization for the design of injection-withdrawal wells. The results show that a comprehensive quantitative analysis could be used to more comprehensively evaluate the sealing performance of NWA. The critical activation stress ratio and the opening angle have a high specificity for the opening and closing characteristics of the section. It is thus concluded that the proposed uncertain risk analysis method provides a comprehensive and quantitative tool for assessing the risk of slip at the fault level in the injection and withdrawal wells in UGS.

On farmers’ Economic Income in Hubei Province of China During the COVID-19 Epidemic

This paper discusses the statistical measurement of the impact of COVID-19 major emergencies on farmers’ economic income in Hubei Province. Hubei Province was selected as the object of analysis, and five data of total output value of agriculture, forestry, animal husbandry, fishery and per capita disposable income of farmers in Hubei Province from the first quarter of 2013 to the second quarter of 2020 were collected by using the Internet. Since all the collected data were macroeconomic data, these data were taken the logarithm to meet the economic significance. The per capita disposable income of farmers was taken as the response variable, and the main factors affecting farmers’ income were obtained by factor analysis. Livestock husbandry and fishery industries were the main industries in Hubei Province. Then the score of factor analysis were taken as explained variable to establish a regression model composed of influencing factors. This paper uses the multiple linear regression, support vector regression to fitting and forecasting data, ARIMA model of time series analysis, introduced at the same time, through the AIC model choice, with the first quarter of 2013 to 2019 in the second quarter fitting training, backward prediction two quarters, and three or four quarter of 2019 compared with the real data, through to the predicted results of the sequence diagram and evaluation index model to compare the mean square error (RMSE). Three models predict per capita disposable income of farmers in the first and second quarter of 2020. It has been found that performance better ARIMA model in the model compare is worse than before, and three kinds of predicted values are higher than the real value of the model, showed the outbreak to the influence of the agricultural economy in Hubei province is serious. On this basis, taking into account the characteristics of geomorphic climate in Hubei province, constructive suggestions are put forward.

How does the urbanization level change in the Yangtze River economic belt, China? A multi-scale evaluation using DMSP/OLS nighttime light data

Based on DMSP/OLS nighttime light data, we select the Yangtze River Economic Belt (YREB) as the research area to evaluate the urbanization level of the YREB at provincial, regional, and county scales. First, we construct the compounded night light index (CNLI) based on the nighttime light data by extracting the integrated light intensity (I) and the built-up area (S) of the Yangtze River economic belt from 1992 to 2012, and we respectively calculate the CNLI of the YREB at the province, regional and county scales of the YREB such that we can comprehensively analyze the spatial and temporal distribution characteristics and dynamic changes of the process of urbanization in the YREB. Second, we construct two traditional urbanization level evaluation index models based on socio-economic statistics: The integrated urbanization level index model (IU) and the urbanization composite index model (Cf), which are used to respectively calculate the urbanization levels at the province, region, and county scales of the YREB. Finally, we establish a multi-scale urbanization model of CNLI, IU, and Cf in order to perform correlation analysis of CNLI, IU, and Cf on different scales. The results show that CNLI can objectively reflect the development status of urbanization level, and provide a new index and method for better monitoring the state of urban development and evaluating the annual change of urbanization.

Demonstration of urban environmental protection planning and ecological construction index system

Environmental protection has always been an issue that our country attaches great importance to. Although China's economy has developed rapidly in recent years, environmental protection construction is still in its infancy. This paper analyses the urban planning and ecological environment protection construction in depth, uses the multi-level grey correlation method to determine the influence weight of each factor, and establishes the urban ecological evaluation index system and evaluation model on the level. At the same time, take Shenzhen as an example to analyse the status quo and trends of indicators, analyse Shenzhen's advantages and resistance in urban ecological construction, and provide basic data of constructive significance for Shenzhen's ecological construction, so as to build a harmonious development between humans and nature, provide reference information for sustainable cities with a high degree of social and economic integration.

Service Quality Evaluation Method of City Shared Bicycles Based on SERVQUAL Model

Bicycle sharing is an effective way to solve the problem of residents’ last mile travel. Based on the SERVQUAL model. Build a service quality evaluation index system and evaluation model for shared bicycles. Taking Harbin’s bicycle as an example, the quantitative evaluation of the service quality of shared bicycles was carried out, and the existing problems of the service quality of shared bicycles were identified and targeted improvement strategies were proposed. The research results can provide a scientific basis for improving the quality of city shared bicycle services.

Research on Evaluation Index System of Green Highway in Reconstruction and Expansion Projects

This study summarizes and condenses the core requirements of green road construction in the reconstruction and expansion project, systematically analyzes the three typical representative green road evaluation index systems of GreenRoads, INVEST and Green-LITES. A green highway evaluation index system including 7 first-level indicators, 20 second-level indicators, and 52 third-level indicators has been constructed, The analytic hierarchy process was used to establish a step-level model, the relative importance of each index is determined according to the judgment of experts, and the weight coefficient of each level of index is obtained. In terms of policy requirements, related technology applications, green highway development trends, and the actual construction of the Beijing-Shanghai Expressway reconstruction and expansion project, the three-level indicator scoring method was determined. The green highway evaluation index system and evaluation model were used to evaluate the reconstruction and expansion project of the Beijing-Shanghai Expressway from Laiwu to Linyi (Lu-Sujie). It was determined that the comprehensive score of the project was 81.2, which reaching an excellent level.

Life Cycle Energy Analysis and Evaluation of Retreaded Engineering Tires

In this paper, energy consumption models of retreaded engineering tires were constructed based on life cycle analysis, theoretical calculation model, and energy consumption method during the four stages of retreaded engineering tires, i.e., production, transportation, usage, and recycling stage. The energy substitute model and energy evaluation index during the recycling stage, which involves one of five classical retreaded engineering tire recycling methods, i.e., secondary retreading, mechanical smash, low-temperature smash, combustion decomposition, and combustion power generation, were presented. Life cycle energy analysis of retreaded engineering tires was conducted, and the energy consumption during the different life cycle stages was quantitatively analyzed, thus obtaining the energy restoration rate of the five classical recycling stages of retreaded engineering tires. Energy consumption analysis and energy evaluation at different stages were performed. Main conclusions indicate that the energy consumption during the production stage is the highest, and energy consumption during the transportation stage is the lowest. The energy recycling result of the secondary retreading or combustion decomposition of retreaded engineering tires is obtained.

Study on the evaluation model of serialized civil aircraft commonality index based on fuzzy set theory

Commonality, a typical commercial feature of serialized civil aircraft study and development, refers to a series of methods of reusing and sharing assets, which were developed based on broad similarity. The common design of serialized civil aircraft is capable of maximally saving R&D, production, operation, and disposal. To maximize the total benefits of manufacturers and operators, the common design of serialized civil aircrafts primarily exploits the commercial experience of serialized products in other fields (e.g., automobiles and mobile phones), whereas a scientific index system and quantitative evaluation model has not been formed. Accordingly, this study proposes a new civil aircraft commonality index evaluation model in accordance with fuzzy set theory and methods. The model follows two branches, i.e., attribute commonality and structural commonality, to develop a multi-level civil aircraft commonality index system. The proposed model can split the commonality into six commonality sub-intervals and build the corresponding standard fuzzy set with the characteristic attribute parameters of the civil aircraft as the elements. Next, based on considerable civil aircraft sample data, a fuzzy test is designed to yield the membership function of the fuzzy set. Thus, a model of evaluating civil aircraft commonality is constructed, taking the characteristic parameters of the civil aircraft to be evaluated as input, and selecting the degree of commonality of each level as output. Lastly, this study employs the evaluation model to evaluate the commonality of Boeing 757-200 with other civil aircrafts. Furthermore, the evaluated results well explain the actual situation, which verifies the effectiveness and practicability of the proposed model.

Research on compound comprehensive energy evaluation and intelligent control optimization

Under the background of increasing energy demand, integrated energy system is an important way to promote the development of clean energy, support the efficient use of energy and energy saving and emission reduction. This paper firstly establishes a comprehensive energy system evaluation index model composed of three sub-models of economy, environment and energy. On the basis of this model, a comprehensive energy multi-objective optimization mathematical model with the lowest total cost, excellent environmental benefits and high comprehensive energy utilization efficiency is established, and the energy supply and demand allocation optimization method based on improved genetic algorithm is adopted for solution. The simulation proves the effectiveness of the proposed optimization model.

Research on Financial Information Quality Evaluation System of Listed Companies in Low-carbon Environment

The era of low-carbon puts forward higher requirements for information transparency of listed companies. This paper analyzes the quality of financial information disclosure of listed companies as the content, and determines the quality evaluation system of financial information of Chinese listed companies under the background of low-carbon. The system has three first-level indicators of "timeliness", "authenticity" and "integrity", ten second-level indicators and nineteen third-level indicators. Then combined with the analytic hierarchy process and the entropy weight method to calculate its weight, a listed company financial information quality evaluation index model was constructed, which provided a reliable basis for listed companies to improve their competitiveness in the low-carbon wave.

The Path for Green Development and Utilization of Energy in China

The green development and utilization of energy is an important component for the new energy security strategy and the ecological civilization in China. To promote energy production and consumption revolution, this study first summarizes the development status and challenges of China’s energy sector, and elaborates the concept and principles of energy green development and utilization. Subsequently, an energy green development evaluation model and an energy utilization system evaluation index model are established to evaluate the economic and environmental benefits of the energy green development and utilization approach; development goals are then predicted for 2030 and 2050 using these two models. The energy green development and utilization can be implemented from two aspects. In terms of energy distribution, China should focus on the clean and efficient development and utilization of fossil energy, the large-scale development and utilization of clean energy, and the intelligentization of energy systems, particularly emphasizing green coal engineering, oil stabilization and gas enhancement, and energy intensification and conservation. In terms of scientific and technological innovation, China should promote breakthroughs for the safe, efficient, and clean utilization of coal; develop key technologies for deep-seated and unconventional oil and gas exploration and development; and advance scientific and technological innovation for large-scale development and utilization of clean energy. To build a clean, low-carbon, safe, and efficient energy system, suggestions are proposed in terms of energy management system innovation, energy price marketization, performance evaluation, and technology innovation system.

Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River

In the last decades since the dramatic increase in flood frequency and magnitude, floods have become a crucial problem in West Africa. National and international authorities concentrate efforts on developing early warning systems (EWS) to deliver flood alerts and prevent loss of lives and damages. Usually, regional EWS are based on hydrological modeling, while local EWS adopt field observations. This study aims to integrate outputs from two regional hydrological models—Niger HYPE (NH) and World-Wide HYPE (WWH)—in a local EWS developed for the Sirba River. Sirba is the major tributary of Middle Niger River Basin and is supported by a local EWS since June 2019. Model evaluation indices were computed with 5-day forecasts demonstrating a better performance of NH (Nash–Sutcliffe efficiency NSE = 0.58) than WWH (NSE = 0.10) and the need of output optimization. The optimization conducted with a linear regression post-processing technique improves performance significantly to “very good” for NH (Heidke skill score HSS = 0.53) and “good” for WWH (HSS = 0.28). HYPE outputs allow to extend local EWS warning lead-time up to 10 days. Since the transfer informatic environment is not yet a mature operational system 10–20% of forecasts were unfortunately not produced in 2019, impacting operational availability.

Simulation of Heat and Mass Transfer of Cut Tobacco in a Batch Rotary Dryer by Multi-Objective Optimization

Summary To simulate the drying process of cut tobacco in a batch rotary dryer, six different models of equilibrium moisture content were selected to calculate the driving force of mass transfer, and a mathematical model of heat and mass transfer was numerically solved. The multi-objective nonlinear problem of heat and mass transfer coefficients was optimized by employing a weight factor. The simulation results showed that the weight factor r was an important parameter for fitting results of moisture content and temperature. The model evaluation indices almost reached their minimal values with r at 0.1. For all the six equilibrium/classic models the fit was better for moisture content than for temperature. One model (M-Hen/C) was superior to other equilibrium/classic models and the REA (reaction engineering approach) model. This study aims for an understanding of heat and mass transfer in the tobacco drying process, and provides a theoretical framework to support the prediction of temperature and moisture in various drying situations.

Decision Model of Design for Elderly Wearable Health Monitoring Products Based on Quality Function Deployment and Analytic Network Process

Facing the current situation of aging society, the health of the elderly has once again become an important issue related to people's livelihood. Aiming at the health problems of the elderly, with the improvement of science and technology, a series of wearable health monitoring products targeted at the elderly have gradually appeared. In order to accurately provide the elderly with a good experience in the interaction of wearable health monitoring products, this article obtains the needs of the elderly according to the research content of ergonomics, and addresses the needs of the elderly from their physical, psychological and Three angles of interaction were classified; then based on the demand, a Quality Function Deployment (QFD) method was used to build a house of quality model, which transformed the needs of the elderly into design requirements, and combined with Analytic Network Process (ANP) to build a model evaluation index system. Combining the house of quality model with the network analysis method, so that the advantages of the ANP method can be fully utilized, the shortcomings of the QFD method can be overcome, and the degree of interaction between factors in the index system can be better reflected, so that the attribute weights given are more reasonable. Finally, a fuzzy QFDANP method model for the selection and modification of such product design schemes is constructed, which not only avoids the subjective and unreasonable factors of the initial requirements acquisition of the product design, but also can target the applicability requirements of the product functions and structure Modifications provide clear goals for the design and selection of design options for such products. The validity and practicability of the method are verified by examples.

Evaluation Index System for Agricultural Water Management in Targeted Poverty Alleviation Based on 3E Model

Agricultural water management provides the basic support and guarantee for targeted poverty alleviation. This paper presents a 3E + 1 evaluation model for the performance of agricultural water management in targeted poverty alleviation based on 3E theory, which is more scientific, reasonable, and reliable. On this basis, an evaluation index system including three levels of indicators is designed, and the weight of each evaluation index and performance evaluation model is determined. A case study of a county in the old district of Maoshan in Jiangsu province was conducted using the proposed evaluation theory and methods. The results show that the overall performance of agricultural water management for targeted poverty alleviation in this area was good but needs more improvement in innovation. The evaluation results are roughly consistent with the evaluations of higher authorities, experts, and scholars, which proves that the evaluation system is scientific and reasonable.

Application of deep learning in cancer prognosis prediction model

In recent years, deep learning has provided a new method for cancer prognosis analysis. The literatures related to the application of deep learning in the prognosis of cancer are summarized and their advantages and disadvantages are analyzed, which can be provided for in-depth research. Based on this, this paper systematically reviewed the latest research progress of deep learning in the construction of cancer prognosis model, and made an analysis on the strengths and weaknesses of relevant methods. Firstly, the construction idea and performance evaluation index of deep learning cancer prognosis model were clarified. Secondly, the basic network structure was introduced, and the data type, data amount, and specific network structures and their merits and demerits were discussed. Then, the mainstream method of establishing deep learning cancer prognosis model was verified and the experimental results were analyzed. Finally, the challenges and future research directions in this field were summarized and expected. Compared with the previous models, the deep learning cancer prognosis model can better improve the prognosis prediction ability of cancer patients. In the future, we should continue to explore the research of deep learning in cancer recurrence rate, cancer treatment program and drug efficacy evaluation, and fully explore the application value and potential of deep learning in cancer prognosis model, so as to establish an efficient and accurate cancer prognosis model and realize the goal of precision medicine.

Soil quality index evaluation model in responses to six-year fertilization practices in Mollisols

ABSTRACT Evaluating soil quality is of vital importance to strategize fertilization and management practices for sustaining agricultural productivity. Five fertilization practices were carried out for 6 years under corn-soybean rotation in Mollisols of Northeast China. Two soil quality index models of Nemoro quality index (NQI) and integrated quality index (IQI), and two indicator selection approaches of total data set (TDS) and minimum data set (MDS) were applied for evaluating changes in soil quality index. NQI-MDS, NQI-TDS, IQI-MDS, and IQI-TDS approaches all indicated that six-year crop straw returning and dairy manure application under corn-soybean rotation increase soil quality index at 0–30 cm soil depth. Depended on soil-depth, IQI-MDS is the most suitable soil quality model for evaluating soil quality at 0–10 cm and 10–20 cm, and NQI-MDS at 20–30 cm soil depth. Soil quality index in IQI-MDS at 0–10 cm soil depth is the method to evaluate soybean yield. Integrating crop yield and soil quality index, the six-year organic amendments, especially dairy manure application is the most suitable management practice in promoting soil biochemical, chemical and physical properties under corn-soybean rotation in Mollisols.

Construction and application research of ecological evaluation platform based on Cesium

Abstract In this study, Sentinel 2A and Landsat series remote sensing images were used to determine the weights of vegetation coverage, humidity, dryness and heat by using the principal component analysis method. The remote sensing ecological index evaluation model was used to evaluate the ecology of the Fuxian Lake area from 2013 to 2018. Environmental quality in the study area is monitored and analyzed. By developing a unified organization and management module of spatio-temporal data in the collaborative production of multi-source heterogeneous data, the mapping relationship between data and parameters is established. The 3D-web data integration decision platform is constructed. Based on the Cesium engine real-time rendering and interactive visualization network 3D platform, real-time calculation and visualization of the ecological evaluation of the Fuxian Lake area between 2013 and 2018 is realized. The ecological environment of the study area continued to deteriorate from 2013 to 2015, improved slightly in 2016, and improved significantly in 2017–2018. The platform has the functions of searching, selecting the base map, measuring on the map, and positioning the coordinates, which can achieve the real-time ecological analysis function and show the change process of the ecological environment and natural resources.