Quality Evaluation System Research Articles

Application research on English Translation Teaching Quality based on Data mining

In the development of education informatization, in order to improve the quality of English translation teaching, universities and colleges, based on the accumulated experience of practical teaching, put forward the use of data mining technology to deal with massive data information, and dig out the main contents affecting the quality of college English translation teaching from a variety of influencing factors, in order to provide effective basis for the innovation and development of modern education. After understanding the basic concepts of data mining and decision tree algorithm, this paper deeply discusses the quality evaluation system of English translation teaching based on data mining according to the research status of English translation teaching in colleges and universities, and verifies and analyzes the system application combined with practical cases. The final results show that data mining plays an important role in the application research of English translation teaching quality in colleges and universities.

Quality changes in workplace health promotion over time: an extended validation of quality criteria from a longitudinal perspective

AimThe quality of workplace health promotion (WHP) is essential for the successful deployment of financial and human resources. The aim of this paper is to evaluate the measurement quality of a WHP instrument with 15 quality criteria over time. In addition, it examines whether the quality of WHP in the enterprises concerned changed over time and whether typical developments can be identified. Finally, the role of company parameters such as size and implementation phase are analysed in relation to how WHP develops over time.Subjects and methodsEvaluations of the quality of WHP collected between 2014 and 2021 were available at two and three measurement points for 570 and 279 enterprises, respectively. To assess the longitudinal measurement structure, confirmatory factor analyses were carried out followed by structural equation modelling to analyse causality. Cluster analysis was used to identify typical developments, and differences in company parameters were analysed with MANOVA.ResultsThe results prove that the 15 quality criteria can be used to evaluate the quality of WHP in enterprises in a valid and reliable manner, both cross-sectionally and longitudinally. The quality of WHP in the enterprises concerned remained relatively stable over approximately 12 years. The cluster solution revealed three different developments characterized by increasing, stable or decreasing quality.ConclusionMeasurements using a quality evaluation system permit a good assessment of WHP in enterprises. WHP quality also depends on company parameters; here more support should be provided to motivate enterprises in the long run, particularly in the sustainability phase.

Research on the Quality Evaluation System of Postgraduate Education under the Background of the Internet

Research on the Quality Evaluation System of Postgraduate Education under the Background of the Internet

Construction of Ideological and Political Evaluation System for College Chinese Courses in Vocational Colleges Based on the Theoretical Framework of CIPP Evaluation Model

The core of ideological and political evaluation in vocational colleges is actually to evaluate the implementation of the task of "cultivating morality and cultivating talents". Traditional evaluation methods are mainly based on subjective judgment and empirical evaluation, while quantitative evaluation methods based on objective data are rarely adopted in practice. Based on the theoretical framework of the CIPP evaluation model, a questionnaire for the ideological and political evaluation of college Chinese courses was designed around four key factors: curriculum teaching background, curriculum teaching investment, curriculum teaching process, and curriculum teaching effectiveness. 550 questionnaires were distributed to students participating in this course teaching, of which 520 were valid questionnaires. After conducting reliability and validity analysis on the survey data using SPSS software, and using EFA and CFA analysis methods to jointly verify, quantitative analysis was used to evaluate the ideological and political quality of college Chinese courses. A college Chinese course ideological and political quality evaluation system was constructed with four key elements as the core, namely teaching background, teaching investment, teaching process, and teaching effectiveness.

Soil Quality Assessment of Several Kinds of Typical Artificial Forestlands in the Inner Mongolia Basin of the Yellow River

Located in the middle and upper parts of the Yellow River Basin, Qingshuihe County, Inner Mongolia, is a typical hilly and gully loess region and one of areas under the implementation of major ecological protection and restoration projects in the key ecological areas of Yellow River. Scientifically and accurately constructing a soil quality evaluation system for different types of artificial forest land and evaluating their soil quality are essential because they help optimize the structure of artificial forest land and improve the soil quality in the loess hilly area of Yellow River Basin. In this study, soil from four representative types of artificial forest land in the middle and upper reaches of the Yellow River Basin in Inner Mongolia was selected as the study object, with natural non-forest land as the control. Sixteen soil property indices in five classes, namely, soil texture, acid–base properties, moisture, pore, and nutrient, were screened using correlation analysis, minimum dataset (MDS), and principal component analysis methods, and an MDS of soil quality evaluation was constructed. Results showed that (1) the evaluation indices of artificial forest land soil quality based on the MDS included total potassium content, total phosphorus content, alkali-hydrolyzed nitrogen content, total nitrogen content, sand content, moisture content, and non-capillary porosity. (2) No significant differences were observed in the soil quality index among the MDS, total dataset, and significant dataset (SDS), all of which exhibited significant positive correlations. (3) The soil quality of the different types of forest land was sorted from high to low as follows: mixed coniferous and broad-leaved forests, larch forests, mixed arbor and shrub forests, Armeniaca sibirica forests, and natural non-forest land.

A novel MADM-based efficient methodology with 2-tuple linguistic neutrosophic numbers and applications to physical education teaching quality evaluation

With the successful promotion of the new round of basic education curriculum reform, China’s physical education (PE) teaching ideology and PE teaching mode have undergone profound changes, and these changes urgently require schools to establish a PE teaching quality (PETQ) evaluation system that is compatible with them, and urgently resolve the contradiction between theory and practice. The evaluation of teaching quality is not only a value judgment of teachers’ teaching ability and teaching effect, but also a value judgment of students’ learning ability and learning achievement changes. Therefore, it is an important issue of higher education research to construct a university PE teaching quality evaluation system and actively promote the healthy development of university PE teaching evaluation. The PETQ evaluation is viewed as the multi-attribute decision-making (MADM). In order to take the full use of power average (PA) operator and Heronian mean (HM) operator, in this article, we combine the generalized Heronian mean (GHM) operator and PA with 2-tuple linguistic neutrosophic numbers (2TLNNs) to propose the generalized 2-tuple linguistic neutrosophic power weighted HM (G2TLNPWHM) operator. The G2TLNPWHM could relieve the influence of the awkward data through power weights and it could also consider the relationships between the attributes, and it can give more accurate ranking order then the existing methods. The new MADM method is built on G2TLNPWHM operators. Finally, an example for PETQ evaluation in is used to show the proposed methods.

Pressure-Sensor-Based Sleep Status and Quality Evaluation System

Sleep quality evaluation is a major approach to clinical diagnosis of different types of sleep andmental disturbances.How to render it possible for test subjects to complete sleep status detection and quality assessment in a natural environment is what this paper mainly highlights. Clinically, sleep disturbances are analyzed by the so-called Polysomnography (PSG). However, due to limitations in space and high cost, as well as the fact that test subjects must wear various physiological detection equipment during the test, the collected signal is susceptible to interference due to uncomfortable sensations. As such it usually does not reflect the realistic situation of the subject. For this reason,we propose in this paper a pressure-sensor-based smart mattress to realize sleep status detection and quality evaluation. Regarding sleep posture recognition, a proposed convolutional neural network (CNN) model in conjunction with a pressure distribution image formed by the pressure sensing matrix are applied. With respect to assessing the subjects’ time in bed, a support vectormachine (SVM) is used to determine sitting or lying postures, and further recognize the actual time in bed. As for sleep quality assessment, Fuzzy inference is adopted in this paper base on a set of four predefined sleep parameters. Compared with some of prior arts, the proposed systemdoes not require the test subjects to wear any equipment, and as such the subjects can complete the test in a natural environment. Experimental results show that the accuracy of the proposed SVM classifier for differentiating sitting and lying posture and that of CNN model for the recognition of four different sleep postures can be up to 99.986% and 96.987%, respectively. With the proposed model, precise sleep parameters, including time in bed, number of times of bed-leaving, number of times of body movements all night, standard deviation of time interval between body movements, and sleep posture can be provided. Moreover, the system does not use devices such as microphones or surveillance cameras to collect the data of the test subjects; thus, there is no concern about infringing the privacy of the subjects. It is believed that the system will be of considerable help and serve as an aid to clinical diagnosis of sleep disturbance.

Study on Quality Change and Processing Suitability Evaluation of the Low-Temperature Vacuum Frying of Bananas.

The banana quality evaluation system is not sufficiently mature in China and cannot meet the demand of producing high-quality processed banana products. In order to screen banana varieties suitable for low-temperature vacuum frying and extend the banana deep processing industry chain, banana slices from 15 varieties planted in China were prepared by low-temperature vacuum-frying (VF) technology in the present study. After factor analysis on 20 indicators of sensory, flavor, nutritional and processing quality from different varieties of banana slices, comprehensive quality evaluation models were constructed for banana slices. It was concluded that Meishijiao No. 1 had the highest overall score among the 15 banana varieties; hence, it was deemed suitable for processing. Meanwhile, in order to investigate the difference between flavor substances in banana slices before and after processing, a flavor histology study was conducted with solid-phase microextraction (SPME) and comprehensive two-dimensional gas chromatography coupled to time-of flight mass spectrometry (GC×GC-TOFMS). It was found that the content differences of 2,3-pentanedione, hexanal and pentanal may cause the weakened fruitiness and the increased oil flavor of banana taste.

Evaluation and Application of Public Management Service Quality of Smart City Based on Intelligent Computing

The service quality of smart city public management is the direction of modern city management construction of Chinese local government, but the current work of smart city management construction and management is not perfect. Among them, the most obvious and prominent problem is that there is no evaluation system for the public management service quality of smart cities, which makes it difficult to achieve the expected effect in the actual construction process without considering all factors. In this case, it is necessary to establish a complete and effective smart city management evaluation system to ensure the rationality and effectiveness of urban management input, which is a problem that must be solved by the current smart city local government smart city public management service quality. In this context, this paper first introduces and analyzes the research background, purpose, and significance of public satisfaction with public information services in smart cities. The origin, significance, and application status of smart cities are sorted out, the relationship between them is elaborated, and the overall research framework is determined. Second, the evaluation model of public management service quality of a smart city based on the fuzzy analytic hierarchy process is constructed, and the theoretical basis of this satisfaction model is elaborated. Finally, the simulation results demonstrate the effectiveness and practicability of the proposed method.

Construction and Practice of Teaching Staff and Teaching Quality Monitoring System in University Affiliated Hospitals Under the Background of Education Informatization

Objective: To build a set of teaching staff construction and teaching quality monitoring system suitable for clinical practice teaching in affiliated hospitals of medical colleges, achieve continuous improvement of clinical education and teaching level, and ensure the quality of medical education talent cultivation. Methods: A modern clinical practice teaching quality monitoring system is constructed based on organizational structure construction, teaching staff system construction, quality control system construction, and information platform construction, combined with external audit and evaluation. Results: The hospital has established a Faculty Development and Teaching Evaluation Office specifically responsible for the cultivation of clinical teachers and the evaluation and supervision of teaching quality. A relatively complete teacher construction and teaching quality monitoring system has also been established for clinical practice teaching, thus achieving integration with the school’s quality control system in terms of management mechanism. At the same time, a set of teaching quality control mode based on the “Internet +” platform has been created by means of informatization. At present, this mode has won three national computer software copyrights and two second prizes for school-level teaching achievements. Conclusion: Through five years of practice, an “Internet +” teaching quality evaluation and monitoring system with the characteristics of teaching hospitals affiliated to local medical colleges has been established. In order to further standardize the training system of clinical teachers in affiliated hospitals, achieve self-monitoring and self-improvement in terms of teaching quality, and ensure the continuous improvement of clinical teaching quality, we will continue to promote the development of clinical teachers with quality and excellence, enrich the main team of quality monitoring, guide the transformation of the education mode from being “centered on teachers” to being “centered on students,” and realize the integration of internal and external quality monitoring systems.

Teaching Quality Monitoring and Evaluation in Higher Education through a Big Data Analysis

In the existing teaching quality monitoring and evaluation, there usually adopts only one method, which is relatively simple, lacking validation and verification in the analysis results. For this reason, this paper aims to conduct research on the teaching quality monitoring and evaluation in higher education based on big data analysis. Firstly, the teaching quality monitoring in higher education was made in five directions: teachers' teaching level, students' academic status, course learning effectiveness, students' competency, and students' employment status. Also, the time series forecasting model (Autoregressive Integrated Moving Average) and the differential equation model (GM(1,1)) model which can effectively predict the change trend of the series, are fused to make the predictive evaluation of the changes in data series of the higher education teaching quality. Next, a combined analysis was performed for both the teaching quality monitoring and evaluation results in higher education and the corresponding data on the frequency of proposing and promoting the improvement measures of teaching quality, and mathematical models were established through curve fitting and parameter estimation to explore the deep correlation between the two. Finally, the related experimental results were given to verify the fusion model. Therefore, the teaching quality monitoring and evaluation system in higher education based on big data analysis can realize the effective regulation of factors affecting teaching quality, and also provide convenience for the academic management of universities, which has certain research significance.

Study on the Coordinated Development of New Urbanization and Industrial Structure in Weinan City

The development and quality of new urbanization cannot be achieved without the support of various subsystems within the city, and the industrial structure, that is, is an important force to promote the development of new urbanization, and the interaction relationship between the two is an important issue in realistic development. By constructing the quality evaluation system of new urbanization and industrial structure evaluation system of Weinan City, the quality of urbanization and industrial structure of Weinan City from 2012 to 2021 are measured and evaluated objectively. The data show that the quality of new urbanization and industrial structure of Weinan City from 2012 to 2021 have been well developed, and the coupled coordination relationship between them is high-quality coordination but there is a decreasing trend.

Research on the Teaching Quality Evaluation System of Ideological and Political Theories Teaching in All Courses Based on Analytic Hierarchy Process

This paper builds the teaching quality evaluation system of ideological and political theories teaching in all courses based on analytic hierarchy process from the perspectives of students, teachers, experts, and employers. First, the original indexes of ideological and political teaching quality evaluation are extracted from the core elements of the evaluation of four types of evaluation mainstay, the evaluation index system is built by principal component analysis in order to eliminate the influence of the correlation among the original indexes, secondly, the importance of various indexes scored by Wenzhou university education and teaching experts as basis, the analytic hierarchy process is used to build model and determine the weight of evaluation indexes. This paper can provide scientific and reasonable references for the teaching quality evaluation of the quality of ideological and political theories teaching in all courses for vocational colleges and other types of universities.

Research on the Factors Influencing the Perception of Urban Park Recreational Behavior Based on the “Homo Urbanicus” Theory

The improvement of the quality of urban parks plays a vital role in the construction and development of urban society. This study examined the factors influencing recreational satisfaction with urban parks, providing a reference for measures to improve the quality of urban parks. Based on the theory of “Homo Urbanicus”, we conducted a factor analysis of recreation satisfaction with urban parks and constructed a structural equation model. It can be seen from the analysis results produced by the causal model that “supporting facilities” and “functional facilities” have the highest contributions to the factor load of the model, which indicates that individual recreational satisfaction with urban parks is mainly based on the relationship between individuals and space conditions. In other words, these elements are necessary to meet the requirement of the “physical” in the “Homo Urbanicus” theory and to supplement the “physical–group–rational” method structure in the “Homo Urbanicus” theory. This conclusion indicates that the improvement of the “functional facilities” and “supporting facilities” of urban parks will play an important role in improving recreational satisfaction with urban parks. The results of this study can help researchers to build an urban park quality evaluation system from the perspective of recreation quality.

Research on The Evaluation System of Fresh Agricultural Products Cold Chain Logistics Service Quality in the Context of Electronic Commerce

This paper studies the service quality evaluation system of fresh agricultural products cold chain logistics in the context of e-commerce, constantly improve and optimize it, and ensure its effective implementation, which can not only improve the service quality, but also effectively promote the healthy development of fresh agricultural products cold chain logistics in the context of e-commerce. From this study, the optimization of the service quality evaluation system can be realized from the establishment of a sound index system, the realization of a scientific and reasonable evaluation method, the strengthening of the evaluation process control, the timely feedback of the evaluation results and the strengthening of the application of the results, in order to better promote the development of fresh agricultural products cold chain logistics in the context of e-commerce.

UHA‐CycleGAN: Unpaired hybrid attention network based on CycleGAN for terahertz image super‐resolution

AbstractIn recent years, terahertz imaging technology has been widely used in security, medicine, and other fields. However, the image resolution is low due to the limits of imaging equipment and diffraction. Traditional super‐resolution methods based on machine learning use artificial paired image datasets, and their image degradation process is quite different from the actual terahertz imaging mechanism. In the paper, an unpaired hybrid attention network is proposed, using the real unpaired high‐resolution and low‐resolution terahertz images as the original input, two sub‐networks are trained: degenerate reconstruction network and super‐resolution network. The degenerate reconstruction network is used to learn the degradation process of the real terahertz imaging system, and reconstruct the generated degradation images into the fixed mapping down‐sampled image of high‐resolution terahertz image. The super‐resolution network uses the generated paired image with fixed correspondence to train the super‐resolution network of paired terahertz images, to improve the imaging resolution of the network in the super‐resolution work of real low‐resolution terahertz images. In addition, the no‐reference image quality evaluation system is introduced to objectively evaluate the network performance. The experimental results show that the UHA‐CycleGAN network outperforms the traditional paired super‐resolution network on both open‐source and self‐built datasets.

Deep Learning Network-Based Evaluation method of Online teaching quality of International Chinese Education

The development of vocational education in the information age requires us to think about the path and strategy of active change. Course teaching quality evaluation should also shift from passive evaluation of online teaching development to active construction of a mixed teaching quality evaluation system. In the information age, the development of teaching resources is dizzying. From paper to digital, from single to diverse, from offline to online, from scarcity to mass—various changes impact the traditional teaching model. Aiming at the online teaching quality evaluation of international Chinese education on the Internet, this paper proposes a method based on deep learning. Firstly, this paper proposes an index system construction and evaluation index weighting for online teaching of international Chinese education, and collects online data as a corpus at the same time. Then construct the CNN_BiLSTM_Att model, which is composed of the CNN module, the BiLSTM module and the Att module. Finally, compare with other model experiments. The experimental results show that CNN_BiLSTM_Att has achieved the best results in the evaluation index results, with P and F1 reaching 97.89% and 97.85%. Compared with other models, the overall effect is improved by 2%~5%. From this, the superiority of the model in the online teaching quality evaluation standard task of this paper can be obtained.

Calculation and analysis of the impact of Microsoft security-assisted physical education model on college basketball teaching in the Internet information era

With the rapid development of information technology in China in recent years, the network-sharing function in social software such as "WeChat" has begun to serve as a safety aid for educational work and promote the emergence of a new teaching model, so this paper proposes a new idea of basketball teaching based on the WeChat safety-aided sports model. Firstly, under the method of research, the importance of the practical part of the teaching content of the basketball specialization course is analyzed by principal component analysis; then the suitability of basketball teaching theory under WeChat safety-assisted is analyzed according to the correlation reliability test, measurement ANOVA and post hoc test of score rate; based on Kinect sensing technology, a basketball teaching model based on Kinect motion capture and joint construction is constructed; finally Obtain weights according to different weight calculation methods and construct a basketball teaching quality evaluation system based on fuzzy synthesis. The results showed that the experimental class achieved 3.16±1.609 (pcs) and 82.38±8.450 (points) in the 4-meter fixed distance passing into the zone; 35.18±9.167 (sec) and 84.72±10.798 (points) in the half-court dribbling and folding marching layup; 4.8-meter fixed distance one-handed over-the-shoulder basketball in the experimental class. The experimental class achieved the standard score of 3.63±2.282 (one) and the technical evaluation score of 82.28±7.857 (points) for the 4.8m fixed distance one-handed over-the-shoulder shot.

Unsupervised Classification of Water Quality Using Artificial Intelligence: The Case of the Moulouya Wadi's Surface Waters (NE, Morocco)

Due to its cruciality, water requires a high care to its physicochemical and microbiological properties to ensure the quality of several utilizations. The particles it carries are likely to be ingested, breathed, or come into contact with the skin. For the classification of the quality of surface water in the Moulouya River (NE, Morocco), this study presents many unsupervised classification methods. The overall quality of surface water in the Moulouya River in northeast Morocco was assessed using nine physicochemical parameters (pH, T°C, EC, O2-diss, NH4+, NO3-, SO42-, PO43-, and biological oxygen demand after 5 days (BOD5)) from March to August 2014. Over a 600-kilometer stretch, twenty-two sites were examined, from the river's source in the High Atlas to its mouth in the Mediterranean. During the first stage, three quality classes (excellent, good and poor) were defined by the calculation of the water quality index (WQI) and water quality evaluation system (QES-Water). In the second stage, the K-means algorithm, the fuzzy C-means algorithm and the self-organizing maps (SOM) of Kohonen were applied to the nine physicochemical parameters used as input variables for the model. The classification method used is capable of projecting high-dimensional data into a lower dimension, typically 2D. This nonlinear projection can be useful in classes’ analysis and their discovery. In terms of performance, the SOM classification showed very close results compared to the K-means and the fuzzy C-means algorithms, with only an insignificant difference across the three models, with SOM maps having a slight advantage.

Vision meets algae: A novel way for microalgae recognization and health monitor

Marine microalgae are widespread in the ocean and play a crucial role in the ecosystem. Automatic identification and location of marine microalgae in microscopy images would help establish marine ecological environment monitoring and water quality evaluation system. We proposed a new dataset for the detection of marine microalgae and a range of detection methods, the dataset including images of different genus of algae and the same genus in different states. We set the number of unbalanced classes in the data set and added images of mixed water samples in the test set to simulate the actual situation in the field. Then we trained, validated and tested the, TOOD, YOLOv5, YOLOv8 and variants of RCNN algorithms on this dataset. The results showed both one-stage and two-stage object detection models can achieve high mean average precision, which proves the ability of computer vision in multi-object detection of microalgae, and provides basic data and models for real-time detection of microalgal cells.