Improvement Of Evaluation System Research Articles

Comparison of dimensionality reduction techniques for multi-variable spatiotemporal flow fields

In the field of fluid mechanics, it is a potential consensus that nonlinear dimensionality reduction (DR) techniques outperform linear methods. However, this conclusion has been obtained based on simple fluid phenomena and an incomplete evaluation system of dimensionality reduction algorithms. In this study, we use an improved evaluation system of DR methods to compare and evaluate the performance of four DR methods, including two linear techniques: Principal Component Analysis (PCA) and Independent Component Analysis (ICA), and two non-linear techniques: Isometric Mapping (ISOMAP) and Locally Linear Embedding (LLE). The four methods are applied to analyze a complex hydrodynamic flow field with cavitation by considering the joint features of multiple variables. Results show that LLE can capture redundant features that do not contribute to understanding the characteristics of flow fields, while ISOMAP is more suitable for handling datasets with multiple scales than LLE. PCA and ISOMAP can successfully capture the characteristics and evolution of flow fields. In addition, 3D supplementary information can assist ICA in improving the problem of identifying unstable flow field states.

An Improved Down-Scale Evaluation System for Capacitors Utilized in High-Power Three-Phase Inverters under Balanced and Unbalanced Load Conditions

The DC-link capacitors in an electronic power system are the main constraint of the power density and lifespan of the power converters. Evaluating the load life of capacitors working in severely adverse circumstances plays an important role in the design stages of the next-generation power converters. In this article, an improved evaluation system for the capacitors utilized in high-power three-phase voltage source inverters is proposed. The purpose of this article is to reproduce the same encountered stresses when a DC-link capacitor is used in a high-power inverter with pulse-width modulation. Hence, an improved down-scale evaluation system for the DC-link capacitors used in high-power three-phase inverter systems under balanced and unbalanced load conditions is proposed. Moreover, AC and DC analyses in the proposed evaluation system are conducted. The equivalent circuit and transfer functions are derived to verify the proposed evaluation system. Finally, a prototype system is constructed to facilitate the theoretical results as the verification.

Experimental and numerical investigations of slip behavior for combined loaded full-complement cylindrical roller bearings

This paper examines the roller slip behavior of full-complement cylindrical roller bearings under different radial eccentric load, radial load direction, axial load, speed and temperature. For this purpose, 2240 roller slip measurements are carried out with a coil attached coaxially to the roller set and a roller body equipped with a diametrical magnet. The evaluation is carried out using an improved evaluation system, which includes both the frequency and amplitude proportionality of the induced voltage. Overall, the roller slip decreases with radial loading in the direction of gravity and with increasing axial load, speed and oil temperature. To explain the physical relationships, which are responsible for these changes, a comparison with results of multibody simulation of the bearing with an advanced modeling of contacts, lubrication and friction is carried out.

Research on the Evaluation System of College Students’ Ideological Education Supporting Smoking Banon Campus in the AI Era-Based on the Analysis Framework of AGIL

Objectives: Artificial intelligence has profoundly changed the way of university education. The tobacco ban on university campuses has become a consensus among people. The public smoking ban among university students requires both external constraints and internal ideological education. The evaluation system construction of college students’ ideological education is an effective way to improve the quality of college students’ ideological education, and it has a guiding role in promoting the ideological education of college students. The evaluation system is a whole, so we should start from structural function, and pursue the system construction and implementation path from the inside to the outside. Parsons Structural Function Analysis Framework (AGIL) is a systematic analysis method to study the structural function of social action. Using AGIL for analysis, the evaluation subject, evaluation objective, evaluation organization and evaluation system constitute the functional structure of the evaluation. To build an ideological education evaluation system for college students, the implementation path involves optimizing evaluation subject and promoting result evaluation; focusing on evaluation objectives and enhancing process evaluation; strengthening evaluation organization and breaking through value-added evaluation; improving evaluation system and perfecting comprehensive evaluation.

Eco-environmental assessment model of the mining area in Gongyi, China

The ecological environment directly affects human life. One of the ecological environmental issues that China is presently facing is deterioration of the ecological environment due to mining. The pollution produced by mining causes the destruction of land, water bodies, the atmosphere, and vegetation resources and new geological problems that seriously impact human civilization and life. The main purpose of this study is to present an environmental assessment model of mine pollution to evaluate the eco-environment of mining. This study added mineral species and mining types into the factor layers and built an improved evaluation system to accurately evaluate the impact of mines on the eco-environment. In the non-mining area, the grades of the eco-environment were divided according to the Technical Criterion for Ecosystem Status Evaluation standard document. In the mining area, the grades of the assessment for the eco-environment were classified by a field survey. After comparing the accuracy of various methods, the support vector machine (SVM) model, with an accuracy of 94.8%, was chosen for the mining area, and the classification and regression tree (CART) model, with an accuracy of 89.36%, was chosen for the non-mining area. Finally, environmental assessment maps for the entire study area were generated. The results indicate that the mine environmental assessment system established by this study avoids the subjective limitations of traditional assessment methods, provides an effective method for assessing ecological quality, and will help relevant departments to plan for mine resources.

An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability

Adaptability evaluation of reservoirs needs to be performed before natural gas flooding. However, the current evaluation methods consider the reservoir pressure and minimum miscible pressure (MMP) as separate parameters to evaluate the miscibility, which ignores the correlation between reservoir pressure and MMP. Also, the effect of reservoir pressure on injectivity is also neglected, while higher pressure than MMP may not improve the miscibility but increase the difficulty of gas injection. Furthermore, evaluation range of each index is inconsistent. Therefore, this paper proposes an improved evaluation system by introducing the miscible ability and optimizing the evaluation criteria to better evaluate the adaptability of natural gas flooding in enhancing oil recovery. The miscible ability is newly defined to evaluate the impact of reservoir pressure on miscibility, and multi-level evaluation model is further developed which includes 12 indexes based on reservoir/fluid/rock properties. The evaluation criteria are established by optimizing parameter intervals. The adaptability of BQ Oil field is assessed using Analytic Hierarchy Process (AHP) and fuzzy evaluation. Field application validates the reliability of the proposed evaluation system. It can be used to quickly evaluate the adaptability of natural gas flooding, which could improve success rate of natural gas flooding and reduce the costs.

An Evaluation System for the Conservation of Geomorphological Assets: Landforms in South Korea

Landforms are spaces for human life, habitats for animals and plants, and areas that provide various ecological services. However, human development has undermined landform where it should be kept as an important human asset. In South Korea, to reduce this damage, a system was created to evaluate the conservation value of landforms, and either designate them as conservation areas or obtain permission for their development in advance. However, the general public, who demands the development of landforms continuously, have frequently questioned the subjectivity of the evaluation criteria used for the conservation of landforms. National Institute of Ecology (NIE) in South Korea was carried out a project which was to increase the reliability of these criteria by modifying the conservation evaluation system into a quantitative system. This paper aims to introduce the geomorphological survey as a part of the Investigation of National Environment (INE), and an improved evaluation system via the Delphi, the Analytic Hierarchy Process (AHP), on-site verification, etc. As a result of this quantitative evaluation using detailed scoring indicators, specific criteria, and weights for evaluation, there is a low correlation between the indicators, and this confirmed that each indicator was evaluated correctly. In addition, as the quantitative evaluation results and the experts’ opinions generally coincided with the final evaluation grades and values, this indirectly confirmed that the experts who participated in the 4th INE agreed with the evaluation results. This research demonstrates a method that can be used to improve the objective assessment of landforms by experts’ opinion surveys. Future research could use the assessment system developed in this research and apply it to other surveys or countries.

Evaluation of College English Teaching Quality Based on Grey Clustering Analysis

Currently, there are two main problems with the evaluation of college English teaching quality: the lack of a complete evaluation system, and the limited quantification of evaluation indices. To solve the problems, this paper sums up the evaluation contents of college English teaching quality, and identifies the factors affecting the teaching quality of college English. On this basis, an improved evaluation system was established for the assessment of college English teaching quality, which is theoretically innovative. Next, grey clustering analysis and entropy weight method were combined into a robust evaluation model for college English teaching quality. This research provides a new and applicable solution to quantification of college English teaching quality.

Systematical Evaluation of Satellite Precipitation Estimates Over Central Asia Using an Improved Error‐Component Procedure

AbstractSatellite precipitation estimates (SPEs) provide important alternative precipitation sources for various applications especially for regions where in situ observations are limited or unavailable, like central Asia. In this study, eight SPEs based on four different algorithms, namely, the Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis 3B42, Climate Prediction Center morphing technique (CMORPH), Global Satellite Mapping of Precipitation (GSMaP), and Precipitation Estimation from Remotely Sensed Imagery Using Artificial Neural Networks are evaluated by using an improved evaluation system over central Asia with respect to their performance in capturing precipitation occurrence and magnitude. Both satellite‐only and gauge‐corrected versions are assessed against gauge‐gridded reference from June 2001 to May 2006. Main results show that all SPEs have difficulties in accurately estimating mountainous precipitation with great overestimation/underestimation in both winter and summer. In winter, CMORPH products fail to capture events over ice‐/snow‐covered region. In summer, large overestimations dominated by positive hit bias and missed precipitation are found for all products in northern central Asia. Interestingly, 3B42 and CMORPH products show great false alarm percentages (up to 90%) over lake region, which is more significant in summer than in winter. Significant elevation‐dependent errors exist in all products, especially for the high‐altitude regions (>3,000 m) with missed error and hit error being the two leading errors. Satellite‐only products have large systematic and random errors, while the gauge‐corrected products demonstrate significant improvements in reducing random errors. Generally, the gauge‐corrected GSMaP performs better than others with good skills in reducing various errors.

An Improved Evaluation System of Physical Education Balanced Development based on Distributed SVM Data Mining Algorithm

Support vector machine (SVM) is an important algorithm in data mining; it can transform the nonlinear classification problem into a linear classification problem by increasing the dimension of the data. The author points out the shortcomings of the traditional data analysis methods, and puts forward the method of complex simulation data analysis based on distributed SVM data mining algorithm. In the empirical part, through construct the evaluation index system of the school sports balanced development mode, the results show that the primary indicators of the sports balanced development are resource allocation(0.3774), school physical education process(0.2781), school physical education results(0.2450), and school sports social environment(0.1000).Overall, the balanced development of school physical education is a long and gradual process, sports evaluation index system also needs to be constantly updated and revised.

해외건설 전문건설기업 선정모델 개선을 위한 실증 연구

Abstract : International construction market have quantitatively increased and have reached up to 700 Bil. US$ through active effort of construction firms and government. In spite of this increase, substantiality issue has been constantly disputed due to qualitative problems such as lack of capability and technical shortage. To overcome these problems, many methods in performing quantitative growth and qualitative substantiality of overseas construction are being researched which showed that selection of subcontractors in general contractor is regarded as a very important success factor. However, it is difficult to make a reasonable decision for selecting the subcontractors due to the lack of evaluation standards and reliability. This study proposes an improved evaluation system through adjustment of the evaluation indicators using correlations analysis and multiple regression analysis with pre-qualification and performance evaluation of 121 firms in 6 countries. Keywords : Subcontractor, Pre-qualification, Performance Evaluation, Correlation Analysis, Multiple Regression Analysis

Students' Satisfaction and Perception of Problem Based Learning Evaluated by Questionnaire

Objectives The aim of this study is to analyze the student's satisfaction and perception in problem based learning of Kosin University College of Medicine, and to propose effective strategies for improvement of problem based learning. Methods Students satisfaction of problem based learning was assessed using the structured questionnaire. The questionnaire consisted of 33 items covered satisfaction of self-evaluation and small group activity, learning resources and environment, tutor and content and construction of modules. Result A total of 80 students were surveyed. Students recognized PBL as more effective and interesting learning method than traditional lectures. Most of students highly satisfied with self-directed learning of their own and small group, tutor, composition and contents of modules. Students had difficult process to build a logical clinical reasoning by combining clues in the PBL process. Students regard that they can easily connect knowledge in real-clinical situations with the greatest advantages of PBL. Students cited as the biggest disadvantage is that students may not receive a fair evaluation. Conclusion Through the results of this survey it showed that students are satisfied with the PBL classes and recognized as effective compared to traditional instructor-led classes. However, further efforts in improving evaluation system and learning environments was necessary for the success of the PBL curriculum.

The analysis for improving evaluation system of government-supported program and faculty in developing engineering college

The analysis for improving evaluation system of government-supported program and faculty in developing engineering college

Evaluation of Gas Control Ability of a Coal and Gas Outburst Mine

Gas control of coal and gas outburst mines faces rigorous challenges in China, including safety (the most serious challenge), environmental, and other issues. To reduce gas accidents and gas emissions in coal and gas outburst mines, an improved evaluation system for the gas control ability must be proposed. Based on the main factors of the gas control of coal and gas outburst mines, this article establishes an ability evaluation system, covering gas control technologies, security management, gas emission reduction, and utilization, for gas control in coal and gas outburst mining. This article proposes methods for calculating the weight of each index and the gas control capability, taking into account the method of the Analytic Hierarchy Process. Finally, the index system is used to evaluate the gas control capability of the Luling Coal Mine, a typical coal and gas outburst mine in China that has demonstrated the validity of the index system. It may also be useful as a tool to diagnose existing problems of gas control in coal and gas outburst mining and as a measure to promote gas control in coal and gas outburst mining.

A Commentary Research on Improving Evaluation System of Task Performance - Focusing on Improving Performance Indicators for Management Policy on Foreigners' Stay -

A Commentary Research on Improving Evaluation System of Task Performance - Focusing on Improving Performance Indicators for Management Policy on Foreigners' Stay -

Dynamics and computer aided design of tennis racket. (The influence of some factors on the mode characteristics and a view of optimum design).

As a step toward the goal, i. e., the establishment of racket dynamics and the proposal of an improved evaluation system for optimum design, the effects of the support conditions of grip and the gut strings on the dynamic characteristics of the two different type of rackets are investigated using experimental modal analysis. The results show that the damping ratio and the decay rate of each mode are much greater and the damping of each mode scatteres wider under the grip constraint condition than those of free-support, and also show that the gut strings contribute very little to the modal parameters within the freguency ranges of 600 Hz, in which no membrain modes appear, but the damping is very small relative to the time during the ball/racket impact and the acceleration is large even in high-frequency modes. Accordingly, it may be safely assumed that the higher modes and the magnitude of acceleration are responsible for the stability of hitting surface.