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The study aims to improve the prediction of slope stability in road engineering by combining sophisticated analytical methods, including ABAQUS software-based finite element modeling and gray relational analysis. The aim is to devise a systematic and impartial strategy that reduces the subjective biases linked with conventional empirical techniques, enhancing the precision of safety factor computations for soil slopes across diverse geological and environmental scenarios. This strategy tackles the drawbacks of traditional approaches, which frequently rely on empirical procedures and produce inconsistent findings in various contexts. The methodology entails utilizing ABAQUS software to create a numerical slope model and then calculating safety factors under different operating situations using the finite element strength reduction method. The improved gray relational analysis captures the complexity related to slope stability and offers a more thorough knowledge of variable interdependencies. The study uses ABAQUS to model slope stability problems and, despite its complexity, calculates exact safety factors using the finite element strength reduction approach to assess slope performance under various scenarios. The paper illustrates how the suggested approach may be used practically in engineering projects and how it can enhance the procedures involved in making decisions about slope stability evaluations. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study introduces a method to explore and broaden potential design avenues for a product by identifying opportunities for innovative design through requirement conflicts. The process involves clarifying user-expected demands using the Ideal Final Result approach and identifying potential conflicts by assessing product performance constraints and user expectations. Utilizing standardized representations of requirement conflicts, a knowledge retrieval technique based on expanding co-referential relationships is applied to analyze these conflicts. A judgment matrix is created to pinpoint clues for recognizing innovative design opportunities initially. Furthermore, the nine-windows method is utilized to expand and identify innovation opportunities along the time and system axis, leading to the identification of two types of innovation opportunities and their expanded outcomes. Ultimately, the method's feasibility and practicality are validated by identifying innovative design opportunities within the context of the alpine tunnel construction system. [ABSTRACT FROM AUTHOR]

This study introduces a method to explore and broaden potential design avenues for a product by identifying opportunities for innovative design through requirement conflicts. The process involves clarifying user-expected demands using the Ideal Final Result approach and identifying potential conflicts by assessing product performance constraints and user expectations. Utilizing standardized representations of requirement conflicts, a knowledge retrieval technique based on expanding co-referential relationships is applied to analyze these conflicts. A judgment matrix is created to pinpoint clues for recognizing innovative design opportunities initially. Furthermore, the nine-windows method is utilized to expand and identify innovation opportunities along the time and system axis, leading to the identification of two types of innovation opportunities and their expanded outcomes. Ultimately, the method’s feasibility and practicality are validated by identifying innovative design opportunities within the context of the alpine tunnel construction system.

The key points and difficulties in vocal singing are problem identification and clever transition in the voice change area. In this paper, by establishing the hierarchical structure model of the hierarchical analysis method, we compare the degree of importance of elements at different levels and the same level based on the judgment matrix to establish the weight vector and test the consistency of the judgment matrix. At the same time, for the problem that the hierarchical analysis method is not strongly targeted, the fuzzy comprehensive evaluation method is proposed for optimization, and then the fuzzy hierarchical analysis method is used to analyze the sound change phenomenon from the three primary indicators of breathing rhythm, resonance effect and sound representation and the related secondary indicators. The evaluation scores of the breathing rhythm control level were 7.83% and 13.77% lower than those of the professional level and master level, respectively; the evaluation scores of resonance effect were 10.70% and 13.37% lower than those of the professional level and master level, respectively; the evaluation scores of sound representation level were 9.26% and 14.32% lower than those of professional level and master level, respectively. The research based on hierarchical analysis can analyze the phenomenon of voice change in the process of vocal singing from a quantitative perspective, give scientific guidance to the practice of vocal singing, and help the development and prosperity of vocal singing art.

The study of BIM engineering management platforms based on big data is conducive to improving the status quo of traditional construction engineering and providing new ideas to realize the innovation of construction engineering project management. This paper takes construction engineering project management as the research object, based on the BIM platform of big data, and understands the current difficulties and key points of safety management by investigating and analyzing the status of construction engineering project management and BIM the application status of the platform. Secondly, we make full use of building information model data standards, including: IFC standards, IDM standards, and MVD standards, to analyze building information model data standards. Finally, the data establishment practice is carried out based on the foundation BIM construction model that satisfies the 300 LOD level for the model components. The results satisfy the consistency test, and the weight coefficients are considered to be reasonably assigned. According to the judgment matrix to calculate the weights, the matrix is normalized by column, and the weights of each index are obtained as 0.6377, 0.2580, 0.1034, 0.1790, 0.1130, respectively. This paper is based on big data BIM technology application and construction process safety management activities, which can realize the information management of the whole project construction, strengthen the benefits of construction project safety management, and provide collaboration of all parties to provide a favorable sharing platform.

Promoting “mass entrepreneurship and innovation” in the context of the new norm of the Internet era is the inescapable trend of the moment. In order to provide the atmosphere and circumstances for innovation and creation education in educational institutions, this study first investigates the application of curricular ideology and politics in innovation and creative education. This is primarily expressed in the leading of innovation and creation education ideals. The set of data on college students’ innovation and entrepreneurial is then pre-processed in accordance with the hierarchical analysis method to obtain the data judgment matrix, and when combined with the fuzzy detailed evaluation method, a science-based system of college students’ innovation and creation education quality assessment model system is created. The initial data set was obtained through a sample survey, and the specific analysis of the connotation traits and interaction between innovation and creation education and ideological and political education of colleges and universities was conducted by using hierarchical analysis. The results show that the reliability coefficient is 0.926 with good reliability, and the validity KMO is 0.946 and passes the signature verification. Ideologic and political theory courses, daily ideologic and political education and self-efficacy were significantly and positively correlated at the level of 0.01. This study is a joint effort to endorse the deepening of innovation and the creation of education reform in higher education. This has a significant historical impact on cultivating socialist architects and successors with thorough moral, intellectual, physical, and artistic development.

This paper uses an adaptive load-balancing algorithm to calculate an intelligent terminal platform on the basis of an enterprise financial information-sharing model. Firstly, a new server performance evaluation index is established based on the hierarchical analysis method, and the load performance of each node is reacted using the influence factors. Then a judgment matrix is constructed for the set of evaluation factors based on the change in the average load utilization rate of nodes. Finally, the results of the matrix are normalized to derive the evaluation weights of each node of the server, which completes the construction of the intelligent terminal platform. An enterprise’s quarterly bills for 2018-2020 were selected for analysis, and after running the financial information sharing, the processing time of a single voucher could be saved by 0.3 hours. It shows that the constructed information-sharing resource base can not only significantly reduce operation costs but also access the business data of subsidiaries at any time to effectively prevent operation risks.

With the continuous development of artificial intelligence technology, rural education is crucial in Chinese education, and the problem of rural teachers’ incentive mechanisms directly affects the quality of rural education. Firstly, according to the incentive mechanism of rural teachers, quantitative and qualitative research on the incentive mechanism of teachers in rural areas using the fuzzy evaluation method is proposed. In the fuzzy judgment matrix, each level is determined based on the decomposition of the previous level, and the results of the previous level are determined based on the calculation results of the next level. Then, using the relevant motivation theory and questionnaires, the principal and teachers of the school were investigated to understand the current situation and main problems of the construction of teachers’ motivation mechanism in the junior high school of Un Dong Town, Duyun City. Using the fuzzy evaluation method to analyze the difference between the actual feeling and expected demand of teachers’ motivation, the result shows that the difference between salary and promotion is 1.22 and 1.19, which means that the difference between salary and promotion is bigger in the motivation mechanism of rural teachers, and we should focus on reforming the salary scheme and implementing the promotion training mechanism of rural teachers. This study confronts the problem of rural teachers’ incentive mechanism, which has good theoretical and practical guidance for improving education quality and so on.

In the background of economic informationization, the integration and development of enterprise refinement management and financial integration have become the mainstream management direction of modern enterprise management. In this paper, the correlation function and judgment matrix are firstly determined by the entropy-weighted elementary topologizable evaluation model, while the initial judgment matrix V is standardized, and the differences in the correlation degree of indicators of different natures should be noted. The entropy power method is applied to calculate the change of relevant evaluation indexes, and the value of information utility in the evaluation system is determined through the change of entropy value. Then the initial data are obtained by means of questionnaires, and data analysis is performed on the first-level indicators in the evaluation system of enterprise financial management capability. The results show that the three indicators of financial risk control capability, financial management informationization level and financial personnel capability, and total budget management level have more room for improvement, but the score of financial risk control capability is only 5.04 points different from the total score, indicating that the specific situation of the enterprise itself for specific analysis. This study improves the level of financial management of enterprises and promotes their development of enterprises.

This paper proposes a hybrid teaching model based on new media support by constructing an AHP teaching system, dividing the hierarchical model into a target layer T, a criterion layer M, and a program layer B, thus constructing a judgment matrix and calculating a weight vector. The indicators are used to conduct consistency tests to provide integrity support for the construction of the teaching model system and to realize the design of the teaching model system. The results show that the average response time of the system proposed in this paper is 14.98ms, the resource preference time is above 0.93, and the active interest in learning is growing significantly. The new media technology promotes the teaching model to break through the limitations and realize the high-quality synergistic development of vocational and open education.

This paper first presents the O2O teaching strategy for choral conducting and analyzes specific methods and processes for teaching choral conducting using the O2O model. Then, the TFAHP choral conducting teaching evaluation model was constructed, and the judgment matrix was used to calculate the comprehensive degree of fuzzy value of the evaluation criteria and to compare the importance value between the indicators. Lastly, the impact of teaching was evaluated using indicators such as grades, comprehensive performance, and learning emotions. The mean value of the achievement of all knowledge modules is much higher than the mean value before teaching, and the average value of the achievement of each knowledge module is between 0.6-0.85, and the P value of each knowledge module is lower than 0.01, which is an extremely significant difference, indicating that the teaching effect is significant. The innovative development of music education is promoted, and this study greatly impacts choral conducting education.

In order to meet the changing educational needs, this paper collects the factors related to the teaching mode through the method of multilevel fuzzy evaluation and establishes a multilevel fuzzy evaluation system including the factors of teaching methods, textbook selection, learning resources and so on. To obtain quantitative satisfaction results, fuzzy numbers are employed to calculate the satisfaction evaluation of teaching programs. Establish a judgment matrix using triangular fuzzy numbers and hierarchical analysis to assign weights to different indicators. The evaluation results of each factor are synthesized to obtain the evaluation results for the timeliness of the English teaching method. The results show that although there is not much difference in the basic level of English between the experimental class and the control class, the experimental class, after using the method of this paper, has a measure of qualitative data higher than the standardized metric of 71.195, and the academic grade reaches a full score of 10. It is further verified that by using the method based on multilevel fuzzy evaluation, universities can optimize their teaching mode in a more targeted way to adapt to the increasingly changing educational environment.

In this paper, the simpler wavelet transform method is used to remove the Gaussian noise contained in the image, reconstruct the approximation signal and the final processed detail signal, and obtain the estimated value of the noise signal to complete the image preprocessing. In the process of human static feature extraction, due to the structural limitations of the human body shoulder joint activity angle is low. Therefore, the local spherical coordinates are used to represent the joint angle characteristics of the human body in the static posture and, through the completion of the calculation of the distribution function of the action features of the target, to be tested to realize the recognition of the martial arts action. After completing the judgment matrix and consistency test, we finally establish the teaching effect index system for college wushu courses and analyze the teaching of ‘Internet Education’ wushu courses. The results show that the accuracy of the results of the four algorithms test dataset is stably maintained between 0.8 and 0.9, DNN algorithm, CNN algorithm, RNN algorithm, this paper’s algorithm loss average value of 1.34, 1.58, 1.75, 1.23, respectively, the combined accuracy and loss value, this paper’s algorithm compared to DNN algorithm, CNN algorithm, RNN algorithm performs better. Namely, the algorithm in this paper can accomplish action recognition with high accuracy. In the analysis of the teaching effect index evaluation of wushu course, the experts think that the matter dimension wushu course design index weight (0.800) > wushu teaching system (0.200), and wushu lecturers should design the course key points before the class. In this study, through the digital construction of teaching wushu courses in colleges and universities, we can achieve long-term development.

College English teaching has formed a long-term historical persistent problem in the process of higher education expansion, and it is urgent to explore its development dilemma and corresponding countermeasures. This study uses hierarchical analysis to analyze the connection between relevant factors in English teaching activities, constructs a judgment matrix for teaching evaluation, establishes the index ordering through a consistency test, and applies intuitive fuzzy logic to establish the index weights. At the same time, a genetic algorithm was applied to the weight optimization process to iterate the better matrix indicator weights. After verifying the optimization effect through experiments, the comprehensive assessment method was applied to specific teaching cases and analyzed. The comprehensive evaluation results of students, teachers, and experts were obtained respectively, the latter being [0.3459 0.2961 0.1848 0.1086 0.0636]. The final evaluation result of the university English teaching case is [0.3358 0.2790 0.1874 0.1272 0.0695], which corresponds to the grade of “general”. Through the evaluation of university English teaching, the difficulties of current English teaching are fed back, which lays the foundation for the countermeasures to be put forward.

This paper adopts the hierarchical analysis method as the weight calculation method for the evaluation of online learning satisfaction, calculates the weights between the evaluation indexes, and constructs the evaluation system of college students’ online learning satisfaction. Combining the teaching experience, the characteristics of online teaching and the items recorded in the web logs in the online teaching platform, the judgment matrix for online learning satisfaction evaluation is established, and the reasonableness of the matrix is judged by the consistency checking method. Evaluation standards are formulated based on the online learning evaluation information, and the research on online learning satisfaction evaluation is designed, while the online learning satisfaction evaluation of college students is analyzed by using the method of statistical analysis. The results show that the comprehensive learning evaluation scores derived from the use of hierarchical analysis are significantly more objective than the traditional evaluation of students’ learning effectiveness using only the end-of-term test scores, with a score difference of 15, and more than 85.24% of the students based on the hierarchical analysis method of college students’ online learning satisfaction evaluation method, which is effective in promoting the students’ regular participation in online learning. The correlation coefficients of online learning experience with clarity of teaching goals and expectations, teacher-student communication and exchange, learning support services, learning motivation, learning hardware equipment and operability, and teaching methods are 0.491, 0.524, 0.435, 0.596, 0.542, 0.391, respectively, which are all significant at 1% level, i.e., only by guaranteeing a higher level of learning effect can we improve students’ satisfaction with online learning.

This paper, through the method of subjective screening indicators, initially determined the Xiangxi Wu Nuo cultural evaluation indicators, and the use of hierarchical analysis of the history of Xiangxi Wu Nuo cultural indicators decomposed into different levels, and then the way the block diagram to indicate the hierarchical recursive structure and the affiliation of the factors. According to the effective amount of information provided by the metric data, using entropy weighting method to calculate the subjective weights to construct the subjective evaluation model of the historical evolution of Xiangxi Wunuo culture and research and analysis of Xiangxi Wunuo culture. The results show that based on the hierarchical-entropy weight method of Xiangxi Wunuo cultural history evaluation of the likelihood ratio test of P

This paper determines the influencing factors of architectural acoustic environment comfort assessment from the perspective of green building acoustic environment comfort, and constructs a two-by-two comparison judgment matrix for each questionnaire survey result. Through the consistency test of the judgment matrix, the weights of the factors influencing the comfort of the building sound environment are obtained, and the construction of the assessment model of the comfort of the building sound environment is completed. Based on the architectural acoustic environment comfort assessment model, optimization variables are selected and multi-objective optimization is used to determine the objective function and constraints of architectural acoustic environment comfort. The comfort of the acoustic environment of the campus building is evaluated and analyzed through simulation analysis. The results show that the two measurement points, point 8 and point 15, located on the north side of the library and information building and the center courtyard, respectively, have relatively low continuous sound pressure levels Leq of 51.7 dB and 44.4 dB, respectively, which are relatively favorable for the creation of a comfortable acoustic environment. Improving the building arrangement through the multi-objective optimization method under the acoustic environment assessment model can provide good environmental protection for people’s daily lives and work.

This paper adopts multi-level fuzzy comprehensive evaluation to divide the set of college students’ basketball athletic ability and performance factors into several subsets, and determines the weight coefficients according to the importance of each single factor accordingly to determine the evaluation indexes of college students’ basketball athletic ability and performance. Starting from college students’ basketball ability and performance, the basketball ability and performance assessment model based on fuzzy evaluation is constructed according to the fuzzy set of factor importance and judgment matrix. The college students’ basketball athletic ability and performance were measured by using statistical analysis to select and analyze experimental test subjects. The results show that the correlation coefficient between the sophomore men’s group and the coaches’ scores is 0.72 (P

In this paper, firstly, the index system for evaluating the value of spatial narrative and artistic aesthetics of Han portraits is determined, the judgment matrix is constructed by using the AHP method, and the relative weight coefficients of the indexes are calculated. Then the two-by-two judgment matrix of the indicators is given, the sum-product method is used to solve the judgment matrix, and the relative fuzzy affiliation degree of each evaluation indicator is solved by establishing the fuzzy evaluation subset and the fuzzy evaluation rubric set, and then combined with the weight value, a comprehensive calculation is carried out to solve the problem, to seek to take the spatial narrative of the Han portraits as well as the artistic and aesthetic educational value of the embodied level. On this basis, the spatial narrative of Han portraits is divided into evaluation levels, and the artistic aesthetic perception and aesthetic education function scores of the three Han portrait exhibition sites, H1, H2, and H3, are compared horizontally. The results show that the evaluation levels of external conditions, narrative means, narrative content, and narrative soft environment indicators of spatial narrative are 83.9, 69.9, 79.9, and 78.4 respectively, all of which are more than 70. The aesthetic perception levels of the three Han portrait exhibition sites of H1, H2, and H3 in Q are between (50, 90), and the levels of aesthetic and educational function indicators are between (85, 92). This study creates conditions for the better development of Han portraits, and to a certain extent, it also provides a reference for the development of spatial narrative and artistic aesthetic education of other similar Han portraits.

In order to better solve the problems of college student’s unwillingness to be employed as well as the difficulty of employment, this paper firstly determines the evaluation indexes of employment guidance and motivation through interviewing college students and experts, constructs the judgment matrix of the evaluation indexes, and carries out consistency test and weight calculation of the judgment matrix by using the fuzzy hierarchical analysis algorithm. Based on the distribution of questionnaires to obtain research data, data analysis software is used to analyze the employment of college students, for example. The data show that the comprehensive evaluation scores of college students’ willingness to accept employment guidance and employment motivation are 3.024433 and 3.468838, respectively, which are between average (3.00) and sound (4.00), indicating that the experts in employment guidance maintain an optimistic attitude towards the evaluation of college students’ willingness to accept employment guidance and employment motivation in this college. The score of female students’ willingness to accept employment guidance (3.68113) is lower than male students’ willingness to accept employment guidance (3.80013), and there is no significant correlation P>0.05. This paper’s research has a significant impact on college students’ employment and sheds light on the employment issue in society.

Enhancing the technical methods of teaching physical instruction in the information age and building an ideal guarantee system for teaching physical instruction reform and innovation are essential components of higher education development. The construction path of the physical literacy teaching reform guarantee system is presented in this paper, along with the development of an evaluation model for the effects of physical instruction reform teaching. This model serves as the basis for evaluating the impact following the implementation of the physical instruction teaching reform. The assessment model relies on the hierarchy analysis approach, which also establishes the second-level fuzzy complete judgment matrix, creates the rubric set for the assessment of the teaching reform effect, and demonstrates the weight value of each indicator in the evaluation model. With respect to the research object in the case analysis of the CA University physical instruction teaching reformation effect, the evaluation’s overall rating is 0.693, and it receives a “good” grade. The 50-meter run, seated forward bending test, and BMI endurance test items showed significant differences (P

Traditional villages are facing many development dilemmas and problems, for this reason, this paper proposes to use hierarchical analysis to study the continuous protection and development of traditional villages in western Yunnan. Combined with China’s national conditions and the actual situation in western Yunnan, it points out the conditions for the contiguous protection and development of traditional villages. According to the principle of evaluation system construction, the evaluation standard system for contiguous protection and development of traditional villages in western Yunnan is determined. To eliminate the influence of indicators on the evaluation results, the relevant indicators are normalized, and the judgment matrix is constructed. Moreover, use the hierarchical analysis method to carry out single sorting and consistency tests on the judgment matrix to derive the weight coefficient of the evaluation index system. Then, a case study was conducted on the continuous protection and development of traditional villages in western Yunnan. The results show that the comprehensive evaluation score of the contiguous protection and development of traditional villages in western Yunnan is 4.08168, which is between excellent and good grades, indicating that the experts maintain a good and positive attitude towards the evaluation of the contiguous protection and development of traditional villages in western Yunnan. This study proposes strategies for protecting and developing traditional villages in southern Anhui, which are conducive to improving the research system for protecting and developing traditional villages.

Colleges and universities have a singular and one-sided understanding of physical education teaching, and teachers, staff, and students remain in the simple teaching activities of improving students’ physical fitness and learning sports skills. Aiming at such problems, according to the feasibility of integrating curriculum ideology into physical education teaching in colleges and universities, the physical education teaching based on curriculum ideology in the field of artificial intelligence is designed, and the implementation and training path of this teaching mode is pointed out in detail. On the basis of the principle of the construction of the evaluation index system, the evaluation indexes are screened and corrected through the combination of searching for literature and expert guidance, and the evaluation index system of physical education teaching effect based on the course of thinking and politics is finally determined. Substitute the evaluation index data into the corresponding judgment matrix, use the hierarchical analysis algorithm to conduct a consistency test on the judgment matrix, derive the evaluation index weight value, and complete the construction of the teaching evaluation model. The constructed evaluation model is used to evaluate and analyze the physical education teaching effect of the pooled course Civics. The data show that the weight of C1 is 0.351, while the weight value of D1 is 0.120, and the other is the same. The final result of the comprehensive evaluation and analysis of physical education teaching by integrating curriculum ideology and politics is 3.3573, which indicates that the path of integrating curriculum ideology and politics into physical education teaching in colleges and universities mentioned above can effectively promote the overall development of students’ morality, intelligence, physical fitness, aesthetics, and labor. This study not only provides direction for ideological and political work but also provides theoretical support for physical education in schools.

By analyzing the theory of the origin of Hakka sports culture, the characteristics of Hakka sports culture are summarized. Based on the principle of evaluation index system construction, the evaluation indexes of Hakka sports culture are initially formulated, and the coefficient of variation is used for screening to finalize the evaluation index system of Hakka sports culture, which consists of 4 first-level indexes and 13 second-level indexes. Based on the scale table, the indicators are compared two by two, the corresponding judgment matrix is constructed, and the judgment matrix is normalized by using the fuzzy hierarchical analysis algorithm to get the evaluation indicator weight values, and the consistency test is conducted on its weight values. According to the steps of the fuzzy comprehensive evaluation, a set of evaluation phrases is formulated to verify and analyze the evaluation model of Hakka sports culture. The results show that the sports behavior culture (0.3461) > sports material culture (0.2456) > sports institutional culture (0.2285) > sports spiritual culture (0.1798), while the comprehensive evaluation analysis result of Hakka sports culture is 3.3707, and the comprehensive evaluation grade of Hakka sports culture in the region is in the range of average to good, and summarizes the innovation effect of Hakka sports culture. The development of Hakka sports culture is promoted by this study, as well as the value and influence of China’s excellent national traditional culture.

In the context of the big data era, the quality of ideological and political education puts forward higher requirements, while practical parenting highlights the higher value of ideological and political education in colleges and universities. This paper focuses on the three core elements of the operation mechanism, optimization mechanism, and evaluation mechanism to enhance the interactive experience of ideological and political education and practical parenting for college students. In the operation mechanism, a social practice composite parenting structure is innovatively proposed. In the optimization mechanism, three types of practical education mechanisms are proposed: leading type, teaching type, and service type. In the evaluation mechanism, the evaluation index system for practice parenting effectiveness is proposed, and dimensionless processing is utilized to eliminate the influence of the index scale. The judgment matrix is constructed using the hierarchical structure model. Empirical analysis is used to explore the effectiveness of the innovative, practical parenting mechanism for promoting ideological and political education in universities, using the pilot university H as an example. The results show that University H has the optimal teaching management dimension (0.31), the second best practice parenting infrastructure (0.20), and the practice teaching (0.06) dimension, less desirable, among the seven first-level evaluation dimensions. Therefore, in the work of ideological education in colleges and universities, it is necessary to strengthen the countermeasures from the aspects of improving ideological understanding, perfecting the organizational system, increasing the financial guarantee, and constructing the incentive system so as to comprehensively improve the effectiveness of practical education activities for college students.

Because of the large number of components and complex evaluation indexes of long-span bridges, it is necessary to adopt the evaluation method suitable for complex structures. Since the hypothetical membership degree of fuzzy theory and the layer weight of traditional analytic hierarchy process (AHP) may have subjective bias, the evaluation precision may be influenced if it is applied independently in bridge evaluation and thus the fuzzy analytic hierarchy process (FAHP) is more applicable to large-span concrete cable-stayed bridge. The traditional analytic hierarchy process using triangular fuzzy number (FAHP) has the shortcomings of computational errors and limited range, so the improved FAHP is adopted. The improved FAHP method introduces the reliability into the judgment matrix, which can not only solve the existing problems, but also reflect the influence of the fuzziness of the man-made subjective judgment on the result. Based on the detection results for a concrete cable-stayed bridge in Jilin Province, the corresponding hierarchy of index system is established, the trapezoidal function is used to calculate membership degree, and the weight of each index relative to target layer is calculated. Improved FAHP is finally applied to assess the security levels of various parts of this bridge and make comprehensive evaluation on the whole bridge. [ABSTRACT FROM AUTHOR]

The analysis of the existing constraints of “sports season teaching mode” is of great significance to the reform of physical education in colleges and universities. In this paper, the model structure and method steps of the hierarchical analysis method are studied, and FHAP with a fuzzy set is proposed for the defects of the consistency test of the judgment matrix. Finally, the weights of each constraint factor are calculated by fuzzy matrix. In the dimension of hardware teaching environment, the importance ratings of “sports venue” relative to other factors are 0.26, 0.74, 0.87, 0.64 and 0.86, and the top three constraints are “sports facilities”, “sports venue,” and “sports facilities”. The top three constraints were “sports facilities”, “sports venues”, and “student-teacher ratio”. Based on FAHP, the key constraints can be analyzed from qualitative and quantitative perspectives, which can provide a scientific and effective reference for developing the teaching mode of the college sports season. The FAHP study analyzed the key constraints from qualitative and quantitative perspectives, which can provide scientific reference for developing the college sports season teaching model.

Copyright of Nonferrous Metals (Mining Section) is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Skill cheerleading is a sport with high difficulty, high skill and relatively high injury probability. This study mainly discusses the judgment of Cheerleading athletes' action safety in sports competition based on Kohonen neural network. The Kohonen network consists of an input unit layer and a two-dimensional output network of processing units. During the training process, each element competes with other units to obtain each record. When a yuan obtains a record, its weight is adjusted to more closely match the predicted category of the record. The Kohonen neural network's analysis of data is divided into roughly two processes. One is the tentative evaluation process of the network model to obtain the overall pattern of the data, and the other is the process of adjusting and optimizing the network to obtain a better model for the features contained in the data. Athletes' injuries are not only caused by their own factors, but also caused by technical factors, poor protection and improper cooperation. Of course, skill cheerleading is not only difficult, but also includes many people participating in the completion of transition connection and some single person dance combinations, hand position combinations, jumps, etc., which may also become potential factors for athletes' injury. According to the characteristics of skill cheerleading team, the injury of athletes is divided into three parts. The first part is the injury of multi person cooperative action unique to skill cheerleading team, including throwing, lifting, pyramid, top and base in transition and connection. The second part is the injury of difficult somersault completed by a single person. The third part is the factors other than difficulty, including jumping, dance combination and hand position combination. The fuzzy Kohonen clustering algorithm proposed in this study adopts batch processing for motion risk data samples, eliminates the dependence of clustering results on the order of input samples, and makes it suitable for dealing with the problem of fuzziness. Finally, the judgment matrix is introduced to judge the risk index weight of the action safety of skilled cheerleaders in sports competitions. The injury rate of skill cheerleading athletes is different, and the injury rate of somersault difficult movement is 67.92%. The injury rate of external factors such as jumping, dancing and hand position combination was 48.15%. This study will help to provide useful theoretical guidance for the standardized, scientific, sustainable and good development of skill cheerleading team. [ABSTRACT FROM AUTHOR]

In order to solve the problem of misjudgment of underground personnel in distress in the intelligent mining precise personnel positioning system, resulting in a waste of rescue resources, this paper proposes to apply the analytic hierarchy process to the emergency treatment mechanism of the intelligent mining personnel precise positioning system. Once the judgment matrix of the traditional analytic hierarchy process method is set, it cannot respond to the changes of the influencing factors in real time. When the value of the influencing factor changes, the judgment matrix needs to be reset to obtain the correct decision scheme. In order to solve this problem, the analytic hierarchy process method is improved and the judgment matrix of the analytic hierarchy process method is proposed to be adjusted according to the real-time data of the sensors to improve the alarm accuracy. When the management server of the precise personnel positioning system receives the alarm information reported by a person tag in the mine, the method uses the 1-9 scale method to mark the various sensor data of the personnel's position and the sensor data of vital characteristics uploaded by the tag. According to the scale value of the sensor data, the parameter values of the judgment matrix of each index layer-decision layer are adjusted in real time, and the weight value of the decision layer is calculated by the analytic hierarchy process, and the authenticity of the alarm information is judged according to the weight values. The simulation results show that after the emergency treatment mechanism of the precise personnel positioning system adopts the improved analytic hierarchy process that can adjust the parameters of the judgment matrix in real time, the authenticity of the alarm information can be judged effectively, invalid alarm information is eliminated, and the alarm accuracy of the emergency treatment mechanism is improved.

The current experimental teaching quality evaluation methods have been difficult to meet the quantitative and accurate requirements of evaluation indicators. For that, in this paper, we propose an ICNNs-DS (improved convolution neural networks-Dempster–Shafer) integrated model for the quality evaluation of experimental teaching. We first develop the structural risk of support vector machines to replace the criteria for the minimization of empirical risk of designing ICNNs model. Then, we devise both an advanced data processing method of evaluation matrix and a reconstruction function to comprehensively calculate various values. Furthermore, we present a targeted fusion evaluation model of DS (ICNNs-DS model) to combine various results of each of the ICNNs modules. Finally, we conduct related experiments to demonstrate the performance advantage of the ICNNs-DS integrated model. Experiment results show that: (1) the operation of ICNNs can effectively solve the complex nonlinear relationship among the evaluation indexes of experimental teaching quality. (2) The fusion method of DS, which has taken into account and retained the values representing the essential characteristics of the evaluation indexes, can well assemble various independent ICNNs modules. (3) ICNNs-DS model can enhance complementary advantages in experimental teaching quality assessment. The results of performance metrics show that the proposed ICNNs-DS integrated model has the best performance of all experimental teaching quality evaluation methods in the study. [ABSTRACT FROM AUTHOR]

The basis for formulating and implementing the urban environment is to be able to accurately evaluate the environmental performance of the city. The accuracy of urban environmental performance evaluation is the mapping of urban environmental conditions and the basis for regional differences between different cities, but the current performance evaluation system has evaluation accuracy. Because of the problem of low and low applicability, a performance evaluation system for the optimization of urban environment by three-dimensional greening under the concept of low carbon was established. Based on the interconnection and complementary relationship between promoting urban economic development and three-dimensional greening construction, based on the principles of science, pertinence, comprehen-siveness, dynamics and maneuverability, scientific, easy to understand and data with time series and information, the integration capability is the standard to construct 23 performance evaluation indicators. According to the type of indicators, the positive indicators, moderate indicators and negative indicators are standardized through the methods of maximization, averaging and minimization. The analytic hierarchy process is used to obtain the weight of each indicator. The weight value constructs the judgment matrix, and uses the Delphi method to set the standard interval of the evaluation result, thereby completing the construction of the performance evaluation system. The empirical results show that the constructed performance evaluation index system can effectively evaluate the performance results of a city's three-dimensional greening environment opti-mization, and the performance score is 79.46 points. This result is basically consistent with the actual operation of the city's current environmental performance, and has a certain practical significance. [ABSTRACT FROM AUTHOR]

In order to enhance the hybrid teaching of physical education online and offline, a quality evaluation method for online and offline hybrid teaching based on mobile edge computing is proposed. Through the evaluation target, index, weight of index and evaluation standard, this paper first constructs the quality evaluation index system of hybrid physical education online and offline. Then, factor and cluster analysis on the importance evaluation grade data of each index to simplify the index items are carried out. By combined with the mobile edge calculation, the weights of quality evaluation indexes for hybrid teaching are calculated respectively, and the fuzzy comprehensive evaluation model is used to effectively realize the quality evaluation of hybrid physical education online and offline. The simulation results show that the proposed method can effectively reduce the cost and error of quality evaluation for hybrid teaching online and offline, improve the evaluation efficiency, and enhance the quality of online and offline hybrid teaching. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Industrial Minerals & Processing / Huagong Kuangwu yu Jiagong is the property of Industrial Minerals & Processing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to consider the engineering and geological conditions, hydrogeological conditions and mining methods of coal seams. From the three aspects, this paper systematically analyzes the influencing factors and establishes an identification model with multi-level structures. The model includes three primary factors (including the engineering and geological conditions, hydrogeological conditions and mining methods), nine secondary factors (including overlying strata thickness, aquiclude, mining parameters and etc.), sixteen third-tier factors (including the faults, aquiclude thickness and effective mining height and etc.) and twelve fourth-tier factors (including the fault throw exponent, aquiclude permeability and coal pillar sizes and etc.). On the basis, the analytic hierarchy process is used to build the judgment matrix and obtain the weight of each influencing factor. The results indicate that the overlying strata thickness, aquiclude and effective mining height are the most important factors among the primary factors of engineering and geological conditions, hydrogeological conditions and mining methods, respectively. The research results could provide theoretical references for the water-conserving mining of coal resources in northwest China.

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker's judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer's judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs. [ABSTRACT FROM AUTHOR]

Copyright of Nonferrous Metals (Mining Section) is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Industrial Minerals & Processing / Huagong Kuangwu yu Jiagong is the property of Industrial Minerals & Processing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)