Quality Evaluation Method Research Articles

Study on online English teaching quality evaluation method based on action orientation

Study on online English teaching quality evaluation method based on action orientation

Study on quality evaluation method of multimedia distance education based on Data Mining

Study on quality evaluation method of multimedia distance education based on Data Mining

FDM printing trajectory measurement and quality evaluation method based on infrared imaging

FDM printing trajectory measurement and quality evaluation method based on infrared imaging

Integration of the rural revitalization strategy in the construction of rural elderly services in the information age

Abstract Aiming at the uncertainty of decision-making factors and the difficulty of quantifying various subjective and objective weights in the process of rural pension service quality evaluation, this paper proposes a rural pension service quality evaluation method combining improved interval AHP and CRITIC method based on indicator correlation at the level of rural revitalization strategy. The method is based on 5 guidelines and 11 common factors, comprehensively considers the influence of subjective and objective weights on the design scheme, introduces the interval number and triangular fuzzy number, and establishes the evaluation index system of rural elderly service. By utilizing the improved interval AHP and CRITIC method, the subjective and objective weights of each evaluation index can be calculated. The analysis is done by combining examples to explore the ecological niche of the senior care industry, the rural suitability for elderly people, and their expectations and perceptions of the service. From the market ecological niche, it can be seen that the result of the senior care manufacturing industry measure is 0.85, which contributes the most to the rural economy in rural revitalization. The travel, ecological landscape, living services, and socio-economic environment in rural areas are improved under the rural revitalization strategy, and the weighted scores of the four are 0.5528, 1.1524, 1.299, and 0.6031, respectively. According to the comprehensive results, the rural revitalization strategy has resulted in a noticeable increase in the rural aged-care industry and services.

An online teaching quality evaluation method based on deep belief network

An online teaching quality evaluation method based on deep belief network

Image quality evaluation method and system for head-mounted three-dimensional display

Image quality evaluation method and system for head-mounted three-dimensional display

An online teaching quality evaluation method based on deep belief network

An online teaching quality evaluation method based on deep belief network

MOOC online English teaching quality evaluation method based on fuzzy algorithm

MOOC online English teaching quality evaluation method based on fuzzy algorithm

A MOOC online teaching quality evaluation method based on fuzzy algorithm

A MOOC online teaching quality evaluation method based on fuzzy algorithm

Innovative Research on the Quality Evaluation Method of English Translation Teaching in Colleges and Universities Based on Neural Network Modeling

Abstract This paper presents BP neural network as an evaluation tool for English translation instruction in colleges and universities. It does this by analyzing and combing the structure of BP neural networks, combining the five first-level indices with the assessment of indexes data preprocessing method, and building an evaluation system based on BP neural networks. We get sample data for the teaching quality assessment indexes based on the example teaching, evaluate it, and confirm that the BP neural network is feasible to use in the evaluation model. Two randomly selected college English language teaching classrooms are used as an example for the class, and the teaching quality rating method is utilized and analyzed. The teaching quality evaluation system’s findings are used to investigate the influencing factors that affect the quality of English translation teaching in higher education institutions. The teaching effect is also discussed about the impact of course time and content arrangements. According to the analysis, the English translation teaching evaluation index system built around the BP neural network model has a substantial amount of credibility because Kendall’s harmony coefficient W = 0.756 χ 2 = 7.687 χ 2 (p − 0.025) = 7.249 indicates that the consistency credibility of the instructional quality evaluation system goes to the test at a significant level of P = 0.025 and the opinions are very uniform.

Research on Quality Evaluation Methods of Land Development and Consolidation Projects

Research on Quality Evaluation Methods of Land Development and Consolidation Projects

Blind Image Quality Evaluation Method Based on Cyclic Generative Adversarial Network

Blind Image Quality Evaluation Method Based on Cyclic Generative Adversarial Network

Validation of the Origami “Foldscope” Microscope as a Preliminary Screening Tool for Male Infertility

Male infertility is a problem that affects a large percentage of the male population worldwide. Currently, the standard method for semen quality evaluation is conventional microscopy, but this method has several disadvantages, including high costs, the need for specialized personnel, and cultural stigmas.

Evaluation of mine water quality based on the PCA–PSO–BP model

Abstract To enhance the mining area's overall use of mine water in the arid area of Western China and mitigate the current water scarcity problem, this paper introduces an intelligent optimization algorithm and neural network for mine water quality evaluation and proposes a principal component analysis (PCA)–particle swarm optimization (PSO)–back propagation (BP) mine water quality evaluation model. Firstly, the model uses PCA to identify the primary factors affecting mine water quality, then enhances the optimal weights and thresholds of the BP neural network based on the PSO algorithm, and the PCA–PSO–BP evaluation model with nine input layers, nine hidden layers, and one output layer is created. In addition, using the Shicaocun Mine as an example, the results demonstrate that the PCA–PSO–BP model has accurate mine water quality evaluation results, and the prediction accuracy reached 86.8255%. This exemplifies the PSO method's superiority to the BP neural network improvement. This study not only offers a novel theoretical framework for assessing and forecasting water quality in mining regions, but it also sets the stage for the possible broad use of state-of-the-art neural networks and optimization algorithms in the coal mining industry.

The potential of near–infrared spectroscopy as a rapid method for quality evaluation of cassava leaves and roots

In this study, near–infrared spectroscopy (NIRS) was used to predict quality of cassava leaves and roots based on their own spectra and also to predict root quality based on the spectral data of the leaves. 990 cassava leaves and 330 roots were collected from 110 plants. The calibration and validation models were constructed by partial least square models with test set validation. High prediction performance models were found for predicting leaf dry matter (DM) and total cyanide (HCN) content using leaf spectra. The coefficient of determination of the validation set (R2val), root means square error of prediction (RMSEP), and the ratio performance deviation (RPDval) of leaf DM were 0.891, 1.04%, and 3.03, respectively, and those of leaf HCN were 0.909, 60.5 ppm, and 3.32, respectively. The prediction model developed from root spectra showed an excellent prediction result for root DM (R2val = 0.979, RMSEP = 0.677%, RPDval = 6.92), while good predicting ability models were obtained for HCN, starch, and TSS in root. Moreover, prediction models developed from leaf spectra could be used for qualitative screening of root quality. This study showed the potential of using NIRS as a rapid and reliable method to predict cassava quality at harvest or before processing.

Rapid multi-indicator quality evaluation of Eucommia ulmoides by near-infrared spectroscopy combined with chemometrics

ObjectiveUsing near-infrared spectroscopy and chemometrics, to establish a method for determination of multiple indicators in Eucommia ulmoides (EU) to achieve its rapid quality evaluation. Method83 batches of EU decoction slices were collected, and the content of pinoresinol diglucoside, chlorogenic acid and geniposidic acid in them was determined by high-performance liquid chromatography, the content of total flavonoids was determined by UV–Vis spectrophotometry, while the antioxidant activity of EU was measured by methods of DPPH, ABTS and FRAP, respectively. The near-infrared spectra of EU were acquired in diffuse reflectance mode, which were subjected to multivariate statistical analysis in relation with the above measured values. In order to achieve good model performance, various methods for spectra pretreatment and wavelength selection were explored. Especially, with the help of four wavelength selection methods based on swarm intelligence optimization, such as genetic algorithm (GA), gray wolf algorithm (GWO), improved global flower pollination algorithm (mgFPA), and improved sine and cosine optimization algorithm (ISCA), the partial least squares regression models were improved prominently. The model quality was evaluated by calculating the coefficient of determination (R2), root mean square error (RMSE) and residual prediction deviation (RPD) in the sets of calibration and prediction. ResultsRegardless of which indicator in EU, the model performance was fairly good, especially after the wavelength selection by GA and other three methods, where R2 > 0.9, RPD > 3 in both calibration and prediction, indicating that the models had good prediction accuracy. Based on the overall algorithmic efficiency and model results, we have the following ranking: GA > GWO > mgFPA > ISCA. ConclusionThe present models provide a novel method for rapid and comprehensive quality evaluation of EU, which may be of great significance for quality evaluation and quality control of EU.

Hepatoprotective activity of Patrinia scabiosaefolia Fisch and quality evaluation based on UPLC fingerprint and multi-component analysis

To establish a quality evaluation method for Patrinia scabiosaefolia Fisch (PS), as well as to study the anti-inflammatory and hepatoprotective effects of the aqueous extract of Patrinia scabiosaefolia Fisch (APS). We used ultra performance liquid chromatography (UPLC) to establish fingerprint and content determination method for PS. The alcoholic liver injury model was prepared by feeding Lieber-DeCarli alcohol liquid feed to mice. We determined the levels of ALT, AST, TC, TG in serum, as well as GSH, MDA in the liver. The mRNA relative expression levels of TNF-α, IL-6, IL-1β, INOS and COX-2 were detected by qRT-PCR, and liver tissues were taken for pathological examination. The fingerprints of 16 batches of PS were established, and 3 component peaks were identified, which were chlorogenic acid (CA), isochlorogenic acid A (ICAA) and isochlorogenic acid C (ICAC). The similarity of the 6 common peaks was between 0.924 and 1.000. A mice model of alcoholic liver injury was successfully made by mixing alcohol liquid feed. The levels of ALT, AST, TC and TG in serum and MDA, TNF-α, IL-1β, LL-6, COX-2 and INOS mRNA in liver were effectively reduced in the drug administration group. The levels of GSH in mouse liver tissue were increased in the drug administration group. The method has good repeatability, stability and feasibility, and it meets the requirements for Quality evaluation. APS exhibits a protective effect against alcoholic liver injury (ALI) in mice.

A comprehensive “quality-quantity-activity” approach based on portable near-infrared spectrometer and membership function analysis to systematically evaluate spice quality: Cinnamomum cassia as an example

Spices have long been popular worldwide. Besides serving as aromatic and flavorful food and cooking ingredients, many spices exhibit notable bioactivity. Quality evaluation methods are essential for ensuring the quality and flavor of spices. However, existing methods typically focus on the content of particular components or certain aspects of bioactivity. For a systematic evaluation of spice quality, we herein propose a comprehensive “quality-quantity-activity” approach based on portable near-infrared spectrometer and membership function analysis. Cinnamomum cassia was used as a representative example to illustrate this approach. Near-infrared spectroscopy and chemometric methods were combined to predict the geographical origin, cinnamaldehyde content, ash content, antioxidant activity, and integrated membership function value. All the optimal prediction models displayed good predictive ability (correlation coefficient of prediction > 0.9, residual predictive deviation > 2.1). The proposed approach can provide a valuable reference for the rapid and comprehensive quality evaluation of spices.

Design of a trichogramma balls UAV delivery system and quality analysis of delivery operation.

The field boundaries in our country are complex. In attempts to control pests via trichogramma-dominated biological control, the long-term practice of manual trichogramma release has resulted in low control efficiency, thereby impeding sustainable agricultural development. Currently, the novel approach involves utilizing Unmanned Aerial Vehicles (UAVs) for trichogramma balls delivery; however, the system is still in its nascent stages, presenting opportunities for enhancement in terms of stability and accuracy. Furthermore, there is a notable absence of comprehensive operational quality assessment standards. In this study, we establish a stable and accurate trichogramma balls delivery system using a four-axis plant protection UAV and introduce a comprehensive evaluation method for trichogramma balls delivery system. When dealing with fields with complex boundaries, it is beneficial to divide them into rectangular, trapezoidal, and stepped small fields at the boundary and perform operations within these small fields. According to our proposed evaluation method, when only considering the effect of field operations, the most effective boundary division shape is trapezoidal, followed by rectangular. and the worst is stepped. If both field operation effectiveness and the utilization effect of placed trichogramma balls are considered, the optimal shape is trapezoidal, then stepped, with rectangular being the least effective. Consequently, for UAV sub-area operations in complex boundary fields, it is advisable to divide the boundaries into trapezoids wherever possible. Field experiment results indicate that the system's delivery area can reach up to 4158 m²/min and the coverage rate of released trichogramma balls can exceed 97%. The system design methodology and comprehensive operational quality evaluation method proposed in this article provide technical support and scientific basis for the application and promotion of UAV delivery trichogramma balls system. This is conducive to the high-quality development of agriculture.

Comprehensive Evaluation Method for Traffic Flow Data Quality Based on Grey Correlation Analysis and Particle Swarm Optimization

Comprehensive Evaluation Method for Traffic Flow Data Quality Based on Grey Correlation Analysis and Particle Swarm Optimization