Index System Model Research Articles

The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy

With the emergence of new tourism trends such as popularized and individualized tourism, the traditional development model can no longer meet the development requirements of the new era. Therefore, the construction of tourism informatization is imperative. This work aims to enhance the promotion of tourism resources in Zhejiang Province and explore the effective promotion forms and strategies of tourism resources in Zhejiang network media. The construction of smart tourism city (STC) is taken as the research object. First, the evaluation index system and evaluation model of the construction level of STC are constructed. Besides, an empirical evaluation is conducted with the pilot project of smart tourism city construction determined by the National Tourism Administration as a case. Then, the concept of strength, weakness, opportunity, and threat (SWOT) is used to analyze the advantages, disadvantages, opportunities, and threats of Zhoushan Town’s tourism development. Finally, the model proposed here is tested. The results show that the comprehensive level of STC in 18 cities is quite different. The current average level of STC in China is 0.2791. Except for the support level of smart tourism environment that is lower than Suzhou, the rest levels of Beijing are in the first place, and the comprehensive level of STC construction is in the first place. The comprehensive level of STC construction in Suzhou ranks second, with an average level of 0.1521. Nevertheless, there is a big gap between Suzhou with Beijing. The overall evaluation satisfaction of Zhoushan Town’s tourism is in a moderate state. The analysis results of the SWOT intelligent model demonstrate that Zhoushan Town tourism should choose a growth marketing strategy. The research reported here provides a particular reference for realizing the seamless connection between the intelligent cultural tourism industry and consumers.

Rural Effectiveness Evaluation: A New Way of Assessing Village Development Status

China is currently at a crucial stage of rural revival and transformation growth. Accurate measurement of rural development status is able to provide decision-making services for rural revitalization plan implementation. To address this issue, combining with effectiveness concepts and on the basis of the widely recognized “production–living–ecology” perspective of rural development in the world, this study proposes an innovative technical evaluating system for rural effectiveness. We constructed a rural effectiveness evaluation index system and measurement model, as well as a four-quadrant approach to identify the effectiveness of villages, selecting Xintai county, a typical resource-depleted city, for empirical analysis to verify the evaluation technical system. The results show that (1) 220 villages had comprehensive effectiveness, accounting for 27.8% of the total; the amount of effectiveness for villages in terms of the production, living, and ecological dimensions were 204, 229 and 195, respectively, and they clearly displayed heterogeneity in terms of spatial distribution. (2) The following are village effectiveness dominant types: the function dominates the comprehensive effectiveness. For each dimension, there is a functionally dominant type. (3) Bivariate Moran’s I analysis revealed the relationships’ internal effectiveness. In the same dimension, there was a conflict between efficiency and function. In each dimension, trade-offs were found between the production function, ecological function, living efficiency, as well as production efficiency, ecological function, and efficiency. Synergies were found among the production function and ecological efficiency. Living efficiency had synergies with production efficiency and ecological efficiency. This research enriched the theoretical approach of assessing rural development status and can help guide the rational conversion of village elements to achieve village transformation and sustainability development, as well as providing technical assistance for the implementation of the rural revitalization strategy.

Construction of comprehensive evaluation index system of water-saving irrigation project integrating penman Montei the quation

Abstract In order to solve the post evaluation system construction of high-efficiency and water-saving irrigation projects, this paper puts forward the research significance of post evaluation technology of high-efficiency and water-saving irrigation projects, summarizes the research status and development trends of post evaluation of projects at home and abroad, and analyzes the existing post evaluation theories and research methods. Based on the actual situation of high-efficiency water-saving irrigation projects, the post evaluation index system of high-efficiency water-saving irrigation projects is constructed from five aspects: construction process, operation management, economy, impact, goal and sustainability by using the method of combining expert questionnaire survey and statistical theory; Study the advantages, disadvantages and scope of application of the existing post project evaluation index weight determination methods and evaluation methods, put forward five single post evaluation standards: post construction process evaluation, post operation management evaluation, post economic evaluation, post impact evaluation, post objective and sustainability evaluation, determine the evaluation process and form five single post evaluation models. Based on the five individual post evaluation models, the project success evaluation model is constructed to form the "5 + 1" post evaluation model of high-efficiency water-saving irrigation project. Taking a high-efficiency water-saving irrigation project as an example, the application process of post evaluation index system and evaluation model of high-efficiency water-saving irrigation project is given, and the feasibility of applying the index system and evaluation model proposed in this paper to production practice is analyzed.

Resilience Capacity Evaluation for the Safety Management System of Power Grid Enterprise Based on AHP-MEE Model

With the rapid development of urbanization and modernization, people’s requirements for electric power are also consequently increasing. It is thus essential to ensure the sustainable and stable supply of power and maintain the safety performance of the power grid. Constructing a modern safety management system (SMS) can effectively improve power enterprises’ ability to respond to emergencies. To effectively evaluate the ability of electric power enterprises to resist risk impact, and the recovery and optimization ability after impact, this paper makes a systematic investigation of the SMS of power enterprises. It evaluates the safety resilience capabilities of the SMS from four basic elements of stability, redundancy, efficiency, and adaptability. A multilevel evaluation system of electric power enterprises’ safety resilience capacity consists of four first-level and 25 second-level indices. Then, an analytic hierarchy process (AHP) and matter-element extension (MEE) joint model—the AHP-MEE evaluation model of the resilience capacity of power enterprises—is proposed. A case study of electric power enterprise safety resilience evaluation is conducted using the proposed resilience evaluation index system and assessment model. The results showed that the provided model agrees with the actual situation and verified the index system and model for electric power enterprise safety reliability and applicability. Improved enterprise safety resilience recommendations are proposed accordingly based on the evaluation results. This work proposes a robust safety resilience capacity evaluation method in the face of upcoming new risks, thus building a good working foundation to construct a new power system with new energy sources.

Lightweight Neural Networks-Based Safety Evaluation for Smart Construction Devices.

Based on the theory of lightweight neural networks, this paper presents a safety evaluation model for smart construction devices. The model index system includes the internal logical relationship between the input and output indexes, and the input indexes are specifically refined. According to the safety evaluation results, the article observes what type of accidents will occur at the construction site. According to the detailed and specific output index system, the six input factor layer indicators correspond to the indicators of several multiple network index layers, respectively. In the simulation process, MATLAB software was used to write the multiple neural network model program for the safety evaluation of the construction site, and the appropriate multiple network structure and related parameters were selected. The experimental results show that the multiple neural networks are trained by collecting 10 expert evaluation samples, and the trained multiple neural networks are applied to real construction cases. Comparing the two sets of data, it can be seen that the gap is relatively small, and the sample training is better. The multiple neural networks have relatively good evaluation performance. The method has a fast calculation speed and effectively improves the efficiency and practical value of safety evaluation.

On the Strategy of Post-Professional Development of Primary School Teachers

Elementary education carries the hopes of the country and the nation, and improving the level of post-professionalism of primary school teachers plays a vital role in the reform of elementary education. The theory and practice of post-professional development of primary school teachers mainly focuses on the two basic issues of "what kind of teachers to train" and " what is the quality of the teachers trained". What kind of primary school teachers to train will give different answers in different eras. With the development of the professional process of primary school teachers, the new era puts forward newer and higher requirements for teachers' abilities and qualities. What is the quality of the primary school teachers trained that is a question about the evaluation of the teaching quality of primary school teachers. The special nature of the professionalization of primary school teachers lies in the fact that they are educated to underage primary school students and are in the stage of becoming growth. The post-professional development of primary school teachers and the growth of primary school students have a natural internal logic, and the path of post-professional development of primary school teachers must follow the growth regularity of primary school students, and the growth space of primary school students determines the choice of the path of professional development of primary school teachers after service. Based on the value-added evaluation perspective of student growth. Therefore, this paper constructs a value-added evaluation index system model based on "student-growth", and proposes a strategy for selecting the path of post-professional development of primary school teachers, and in order to provide guidance for the reform of elementary education in the new era.

Analytic Hierarchy Process and Its Application in Rural Tourism Service Performance Evaluation

In contemporary China, tourism is being upgraded to a modern service industry and strategic pillar industry. With the rapid development of modern information and communication technology and the continuous refinement of tourism market demand, tourism has entered a new era of smart tourism. Information runs through the whole process of tourism activities and is the key to determine the quality of tourism. Tourism public service is a very important basic support for tourism activities. It is of great significance to meet the diversified needs of tourists and optimize various services and government management functions. Based on the analysis of the connotation of tourism supply chain performance evaluation, this paper constructs a tourism supply chain performance evaluation index system and performance evaluation model suitable for analytic hierarchy process and studies the product price, production capacity, credit, complaint rate, and management level of its upstream tourism supply enterprises. To test the effectiveness of AHP on tourism supply chain performance evaluation, the comprehensive evaluation results and relevant suggestions for improving performance are obtained, which also proves the extensibility of the performance evaluation index system and provides an effective method for improving the performance of each link of China’s tourism industry and tourism service quality.

Development of a risk index for cross-border data movement

Cross-border data transmission in the biomedical area is on the rise, which brings potential risks and management challenges to data security, biosafety, and national security. Focusing on cross-border data security assessment and risk management, many countries have successively issued relevant laws, regulations, and assessment guidelines. This study aims to provide an index system model and management application reference for the risk assessment of the cross-border data movement. From the perspective of a single organization, the relevant risk assessment standards of several countries are integrated to guide the identification and determination of risk factors. Then, the risk assessment index system of cross-border data flow is constructed. A case study of risk assessment in 358 biomedical organizations is carried out, and the suggestions for data management are offered. This study is condusive to improving security monitoring and the early warning of the cross-border data flow, thereby realizing the safe and orderly global flow of biomedical data.

Online Visual Communication and Scene Reconstruction of Cruise Travel under the Background of Virtual Reality

This paper takes the cruise passenger cabin as the research object, builds the virtual environment model according to the relevant theoretical knowledge and materials, introduces and studies the theory of ergonomic design evaluation, establishes the human-machine environment evaluation index system and comprehensive evaluation model of the cruise passenger cabin, introduces several common comprehensive evaluation methods, compares the advantages and disadvantages of different methods, and combines them with this design object so as to select the applicable evaluation method to evaluate the cabin design scheme. It also introduces several common comprehensive evaluation methods, compares the advantages and disadvantages of different methods, combines them with the design object, so as to select the applicable evaluation methods to evaluate the cabin design scheme and make the cabin design evaluation more systematic, accurate, and reasonable, realizes the three-dimensional visualization of the cruise ship cabin based on virtual reality technology and other technologies, and conducts the ergonomic evaluation of the design effect. The relevant knowledge involved includes human-machine-environment system engineering theory, 3D modeling theory, hierarchical analysis theory, fuzzy comprehensive evaluation theory, and virtual reality development theory. The concept of intelligent environment design is introduced into the environmental design of the intelligent entertainment system of cruise ships, and after the systematic study of the user’s demand level and cabin environment design element system, the problems existing in it are handled and combined with intelligent products, the different functions of intelligence are classified and studied, and the different forms of control are specifically studied to provide the basis for the subsequent specific design. In the case study, an overall evaluation of the architectural aesthetics of the target ship was derived through evaluation experiments. Based on the results, specific indicators at different levels can be traced, thus providing guidance directions for optimal design. The methods such as fuzzy synthesis evaluation and the idea of integrating the evaluation process with VR experience adopted in this paper can provide reference ideas for similar studies.

Study on site selection combination evaluation of pumped-storage power station based on cycle elimination — Based on the empirical analysis of North China

Energy structure reform is the common choice of all countries to deal with climate change and environmental problems. Pumped-storage power station (PPS) will play an important role in the green and low-carbon energy era of “source-grid-load-storage” synergy and multi-energy complementary optimization. In this context, this paper puts forward a PPS selection evaluation index system and combination evaluation model for energy internet. First of all, on the basis of the construction conditions of traditional PPS, considering the multi-energy complementary demand of energy internet, a three-dimensional evaluation index system of “hydrology & geological conditions”, “construction conditions” and “energy structure demand” has been established. Secondly, concepts such as degree of center cohesion, similarity threshold and core method set are introduced to construct a cycle elimination mechanism and eliminate the edge single evaluation method (SEM) to improve the scientificity of combination evaluation. Site selection combination evaluation of PPS based on cycle elimination is constructed, and effectiveness measure test of site selection combination evaluation method is defined. Finally, PPS in North China is taken as an example to verify the effectiveness of the model and the sensitivity analysis is carried out. The research shows that the effectiveness of the combination evaluation method is not only determined by the mechanism of the method itself, but also affected by the consistency of the SEM set, and the cycle elimination mechanism can improve the effectiveness of the combination evaluation method. The evaluation index system, site selection model based on cycle elimination and effectiveness measure are constructed in this paper has high feasibility. The classification characteristics of PPS sites are proposed for the first time, and PPS sites are divided into seven types according to three index dimensions: it provides the basis for differentiated decision making of PPS site selection.

The Application of PSO-SVM Algorithm in the Evaluation System of Sports Competition Events

With the development of society and the improvement of residents’ living standards, sports competition events have attracted much attention as a large-scale event that is popular with the people. Based on the process of holding sports competitions, this paper obtains 14 evaluation indicators from four dimensions of policy, social environment, economy, and natural environment, uses the PSO-SVM algorithm for a comprehensive evaluation, and finally selects Henan Province as the empirical research object. Empirical research shows that the PSO-SVM algorithm has certain applicability in evaluating SCE and can provide a reference for the government and event organizers. The evaluation index system and evaluation model constructed in this paper have certain practical value, but the training data are insufficient and the model still needs to be further improved.

Path optimization of open collaborative innovation of energy industry in urban agglomeration based on particle swarm optimization algorithm

To study the open collaborative innovation path optimization of urban agglomeration energy industry based on particle swarm optimization algorithm. Firstly, this paper brings industrial agglomeration and urban agglomeration into a unified analytical framework, uses location entropy and spatial Gini coefficient to measure the degree of industrial agglomeration, and evaluates the degree of regional industrial agglomeration competitiveness by constructing an evaluation index system of industrial agglomeration competitiveness. Then, the agglomeration index system was established, the development degree analysis method and Carlino model were used to analyze the development degree and agglomeration degree of eco-economic zones, and the agglomeration effect was analyzed by dynamic econometric method and spatial autocorrelation statistical method. Finally, a regional collaborative innovation capability evaluation model based on particle swarm optimization algorithm is constructed. Based on the index system and evaluation model, this paper evaluates and analyzes the collaborative innovation capability, and puts forward countermeasures and suggestions for future collaborative development.

Gyro Test Evaluation Based on Grey Clustering

Abstract Based on the test and evaluation of satellite control sub-systems, this article applies the gray clustering evaluation method in the gray system theory to the lack of objective quantitative standards in the current test and evaluation, and establishes the evaluation index system and evaluation model of the two-float gyro. The model is verified by using telemetry data and the evaluation conclusion of the gyro is got. The establishment of the model provides an objective and quantitative standard for the evaluation, and reduces the subjectivity and ambiguity in the evaluation. The model and method can be applied to other components of the control sub-system, and it has promotion significance for the test and evaluation of the entire control sub-system.

Index System Construction and Model Analysis of University Teachers’ Data Literacy Ability

The research on the index system construction and model analysis of data literacy ability of university teachers has influenced the development of academic field, and the rapid development of information digitization technology has brought about a torrent of data. University teachers’ life, work and learning are profoundly affected by the big data environment, and the level of data literacy of university teachers will play a vital role in the development of information society. On this basis, the index system of teachers’ data literacy is introduced. The effectiveness of the data literacy model of university teachers will become an important index. According to the analysis results, the fuzzy comprehensive evaluation method is used to determine the index weight of teachers’ data literacy ability and the hierarchical model is established to analyze it. The scale of the ability index is calculated, and the weight of the teacher’s data literacy index is determined. The experimental results show that the proposed method is accurate and effective.

A Study on Risk Measurement of Logistics in International Trade: A Case Study of the RCEP Countries

International trade can be severely disrupted by failures in international logistics processes. Therefore, an understanding of international logistics risk is imperative for the smooth operation of international trade, systematically studying the causes, responsible parties, and possible consequences of international logistics risk. On this basis, international logistics risk is classified from the perspective of the consequences caused by logistics risk, combined with the influencing factors and types of risk, establishing the index system and evaluation model of international logistics risk; Fuzzy Comprehensive Evaluation (FCE) and Analytic Hierarchy Process (AHP) methods were used to evaluate international logistics risk, and the international logistics risk in the international trade of the Regional Comprehensive Economic Partnership (RCEP) is also discussed. The results show that generally, international logistics risks are mainly logistics loss risk, logistics cost risk, and logistics timeliness risk. The logistics risks in the transaction with RCEP mainly include logistics loss risk, logistics cost risk, logistics timeliness risk, environmental risk, and logistics information risk. The risk causes include five risks: general causes, accidents, bankruptcy or ultra vires of logistics companies, customs clearance problems, and cargo characteristics. By establishing the international logistics risk measurement index system, it can hopefully play a preventive and guiding role in the research of international logistics risk assessment and the international logistics risk management of RCEP enterprises.

Consumer Online Shopping Satisfaction Evaluation Research

The innovation of Internet technology and the popularity of mobile network make online shopping gradually develop into a new sales model. In the increasingly fierce market competition, in order to perceive the needs of consumers online shopping, timely analysis of the key factors affecting consumer online shopping satisfaction, and construct the evaluation model of consumer satisfaction index system (4 first-level indicators, 7 second-level indicators and 17 tertiary indicators) by using fuzzy comprehensive evaluation method. Through the model Through the model can see that all kinds of products and 24-hour shopping services are the most important factors for consumers, on this basis, put forward measures and suggestions to improve consumer satisfaction.

Analysis of the Effect of Classroom Reform of English Literature on the Theme of Environmental Protection in Universities Based on Artificial Intelligence Technology.

Under the current theme of environmental protection, the effect of English literature classroom teaching reform cannot be analyzed qualitatively. Based on BP neural network, we present an analytical model of the impact of College English Literature Classroom Teaching Reform on environmental protection based on artificial intelligence technology. We analyze the teaching reform of English literature classrooms with the theme of environmental protection under artificial intelligence technology and explore the concept of “intelligent education” and the construction path of university English ecological teaching mode. Based on the in-depth excavation of teaching information, this paper analyzes the impact of college English literature classroom reform on the theme of environmental protection. Combined with BP neural network, a scientific analytic hierarchy process index system model is established, and the weight relationship of various reform influencing factors is given relatively objectively. The scores of the model based on the BP neural network under the six effect analysis indicators of teaching attitude, teaching tools, reform plan, reform teaching content, classroom organization, and reform rationality are 90.97, 86.3, 80.4, 95.7, 84.8, and 87.4, respectively. The results show that this model has a good ability for analysis and evaluation, which also provides some new ideas and entry points for the reform of the current English classroom teaching model. This study has a certain contribution to the breakthrough of college English teaching goals.

Research on performance evaluation of rural revitalization project based on value engineering theory

<p>At present, domestic research on rural revitalization mostly focuses on countermeasures and evaluation indicators, and there is little concern about rural performance evaluation. Based on the value engineering theory, this paper constructs the performance evaluation index system model of rural revitalization project, and applies Shapley method, triangular fuzzy number method and fuzzy comprehensive evaluation method to perform indicator weighting and quantitative aggregation of data of the functional elements and cost, and uses the value coefficient as the evaluation criteria of the performance level of rural revitalization project, in order to judge the level of performance of rural revitalization project, analyze the resource utilization efficiency in the implementation process of rural revitalization project, and then point out the direction for the performance optimization measures of rural revitalization project.</p>

Environmental Efficiency of Construction Industry with onsiderations to Carbon Emission: A Case Study in Henan, China

Low energy utilization is observed in China due to the extensive economic growth mode, which further leads to considerable energy wastes and environmental pollution. The construction industry plays an important role in the national economic development of China and consumes tremendous materials; thus, this industry discharges abundant CO2. The energy consumption growth rate of the construction industry in China is far higher than the national energy consumption growth rate, resulting in the prominent situation of high energy consumption and low yield. A case study based on Henan Province, China, was conducted to further analyze the environmental efficiency of the construction industry. An index system was established by using the Super-slack-based model (Super-SBM). This system chooses the following: labor, energy, capital, and technology of the construction industry as the input variables, economic output as the output variable, and carbon emissions as the unexpected output. This system was also used to investigate the energy efficiency of the construction industry in Henan Province from 2008 to 2019. Results demonstrated that the construction industry in Henan Province has failed to eliminate the extensive development mode thus far. The environmental efficiency of the construction industry presents a fluctuating growth with a mean of 1.048, which generally remains at a relatively low level. The numbers of construction machines and enterprises in the construction industry have redundancy in approximately 50% of the years. Thus, this study can provide some positive references to enrich the evaluation index system and estimation model of energy efficiency of the construction industry, which includes unexpected output. Moreover, the current study can provide a comprehensive understanding of the environmental efficiency of the construction industry in a province in China and realize reasonable allocation of construction industrial resources.

Safety Risk Evaluation of Construction Site Based on Unascertained Measure and Analytic Hierarchy Process

Due to the high risk of construction sites, it is necessary to make safety risk evaluation. With the synthetic consideration of the complexity and uncertainty of construction sites, a comprehensive evaluation index system with two levels has been based on the emphases and difficulties of the current safety work in construction industry; the index system includes civilized construction site, management of machinery, equipment, materials, occupation health protection, and the subpackage management, such as 6 one-level evaluation indexes, inspection system of safety risk, safety awareness education, and prevention and control of occupation disease, such as 33 two-level evaluation indexes. The research takes “No. A residential building and other 8 projects” as the empirical analysis object, with the weights of the first indexes and second indexes being calculated by the analytic hierarchy process (AHP) and the information entropy, and applies the unascertained measure to comprehensively evaluate the safety risk of the construction project. The overall score of the project is 6.4475, the evaluation result is good, which is consistent with the actual situation, and the feasibility and effectiveness of the evaluation index system and evaluation model are verified, which provides a reference for safety risk management in the construction stage of construction projects.