Degree Evaluation Method Research Articles

Moisture and Aging Degree Evaluation Method for Oil-Paper Insulation Based on HV-FDS Characteristics Analysis

Moisture and Aging Degree Evaluation Method for Oil-Paper Insulation Based on HV-FDS Characteristics Analysis

An error compensation method for single point oblique axis grinding considering the grinding wheel wear

With the increasing amount of high quality optical products, the manufacturing requirement for the high-precision optical glass lenses is on the rise. Grinding is typically the main manufacturing process for the optical mold. The degree of wheel wear has a direct impact on the precision of the grinding process. In this paper, the wear rule of grinding wheel in the grinding process of optical aspheric surface is studied with the in-site wear measurement system. A new image processing method and a wear degree evaluation method are proposed. The wear prediction model for the grinding wheel is established. Then a modified compensation method of optical aspheric surface considering grinding wheel wear is proposed. The optical aspheric surface is then compensated using a modified multinomial equation considering grinding wheel wear. The results demonstrate that the profile error of optical aspheric surface can be reduced to less than 150 nm. The proposed compensation method that takes into account the grinding wheel wear can highly improve the grinding precision and efficiency of optical aspheric surface as compared with the conventional compensation method.

Research on Scientific Calculation Methods and Ecological Effects of Plant Configurations in Sango Landscape Designs

Abstract The basic composition of plant communities is an important part of the landscape, and good plant community design can effectively enhance the ecological benefits of the landscape. The article selects four sites in Xining City and Gerga Village of Guide County, Qinghai Province, as research objects and designs the relevant image factors of plant landscape design based on the whole life cycle of plant landscape and carbon sequestration benefits. The evaluation and analysis of plant configuration in the study area were carried out using the beauty degree evaluation method and semantic difference method, and the measurement was carried out for the ecological benefits of plant configuration. The mean value of SBE of plant configuration in the study area was around 0.05 points, and the mean values of SD scores of 12 plant landscape image factors were distributed between [0.507,1.293] points. The maximum carbon sequestration benefit of Qinghai spruce could reach 178.35kg·a−1, which was 72.82% higher than the extreme value of scrub with the lowest carbon sequestration benefit. The mean value of carbon sequestration per unit leaf area of different types of sequestering plants was 14.09g·m−2·d−1, and the mean value of oxygen release was 7.99g·m−2·d−1, respectively, and the value of ecological benefit of purifying the atmosphere produced by landscape plants in 2033 was 2.21 times higher than that in 2023 The value of ecological benefit produced by landscape plants to purify the atmosphere in 2033 was 2.21 times of that in 2023. In the landscape design of Sanxiang in Qinghai Province, it is necessary to pay attention to the spatial location design of plant configuration, and it is also necessary to fully combine trees and shrubs in order to achieve optimal ecological benefits.

A Novel Incipient Slip Degree Evaluation Method and Its Application in Adaptive Control of Grasping Force

Grasping is the most basic and important function of robots. However, the grasping performance of existing manipulators is far inferior to that of human hands. Human hands are able to evaluate the degree of incipient slip on contact surface based on tactile information during grasping process and thus regulate grasping force. As a result, humans can use the smallest possible grasping force while ensuring successful grasping, which maximizes the performance of their hands and avoids damaging the grasped object as much as possible. The existing incipient slip degree evaluation methods have certain shortcomings. So this paper proposes a novel method which can be applied to complex contact conditions where the incipient slip degree is not unidirectional and torque exists. Also, there are no restrictions on the material parameters and surface topography of the grasped object, and no need to obtain any information about it in advance. We construct a grasping force control strategy for parallel grippers based on this evaluation method, with the goal of enabling the gripper to achieve the similar grasping performance of human hands. The grasping strategy is verified in simulations and actual experiments, and the difference between the controlled force and minimum grasping force is demonstrated. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —In unstructured grasping tasks, the information of the grasped object cannot be obtained in advance, which makes it difficult for robotic grasping. Conventional grasping strategies often use the maximum force of grippers, but this can cause damage to fragile objects. In contrast, human hands can flexibly control the size of the grasping force, which will not far exceed the minimum force required to ensure successful grasping. This capability greatly expands the grasping range of human hands. Neuroscience studies have shown that such excellent grasping performance owes to the perception of incipient slip by human’s tactile system. However, existing incipient slip detection methods for manipulators have certain drawbacks. To fill this gap, we propose a novel method that can be applied to contact conditions where tangential forces are reversed and torques exist. Meanwhile the method has no restrictions on the surface morphology and material parameters of the contact object, which has a good range of applications. This paper applies this method to a parallel gripper commonly used in industrial scenarios, and proposes a grasping force control strategy that can automatically adjust the magnitude of the grasping force to achieve a similar grasping performance to human hands -keeping the grasping force within a certain range beyond the minimum value. In the future, we also intend to apply the proposed method to more dexterous manipulators and perform more complex manipulation tasks. Possible application scenarios include: smart prosthesis, virtual reality, remote control, etc. Currently, we assume that the Coulomb’s law of friction is satisfied on the contact surface, and more complex friction models will be introduced in the future to further improve the applicability of this method.

Nonlinearity evaluation and damage evolution law of simply supported RC beams based on the FRF similarity measure

Reinforced concrete (RC) beam structures are subject to a certain degree of nonlinearity owing to their material properties and other factors. However, the present evaluation methods for their degree of nonlinearity are only applicable to specific types of excitation. In this study, a nonlinear degree evaluation method suitable for impulse excitation is proposed. The nonlinearity degree (ND) index was defined based on the frequency response function similarity measure, which was used to acquire the structural state and compare multiple states. The effectiveness and noise robustness of the proposed method were verified using numerical examples. Additionally, this method was applied to study the nonlinear damage relationship characteristics of RC beam structures. The normalized value given by the ND index accurately determines the relative nonlinear degree and evolution law of the damage state of simply supported RC beams and further clarifies the nonlinear damage relationship. Finally, the control mechanism of the nonlinear factors was revealed by comparing the nonlinear damage relationships of RC beams with different structural properties. This study provides a simple and effective new method for assessing the degree of nonlinearity in engineering structures and further improves the empirical theoretical system of nonlinear damage relationships for RC beam structures.

Coupling high natural resources and carbon emission efficiency on economic growth in China

China, the world's most populous nation, has seen rapid expansion in recent decades. The burning of fossil fuels has contributed significantly to this increase because of the country's heavy reliance on extracting plentiful natural resources. However, the possible effects on long-term economic development and the environment have caused significant concern. This study focuses on how efficient use of natural resources and reduction in carbon emissions are linked to economic development in China. Using the 2005–2020 entropy weight approach and the coupling coordination degree evaluation method, we investigated the relationship between high natural resource regions, economic stability, infrastructure, and resource utilization efficiency. Our research indicates that combining low carbon emissions and the efficient use of natural resources may help China's economy thrive sustainably. We provide several suggestions for future studies to help Chinese officials strike a better balance between economic development and environmental conservation.

A quantitative evaluation based on an analytic hierarchy process for the deterioration degree of the Guangyuan Thousand-Buddha grotto from the Tang Dynasty in Sichuan, China

The Guangyuan Thousand-Buddha grotto is of great value in researching the spread of Buddhism in China. To explore a scientific deterioration degree evaluation method, the authors selected 11 grottos from the middle Tang Dynasty in the Guangyuan Thousand-Buddha grotto as survey objects; a traditional deterioration investigation was undertaken, and an analytic hierarchy process (AHP method) was applied to build a system to calculate the weight of 15 deterioration criteria and evaluate the deterioration degree of the grotto. The results showed that 15 deteriorations can be classified into two categories: stability deterioration and weathering deterioration. Each deterioration has its own weight on affecting the preservation condition of the grotto. In contrast to realistic conditions, the calculation results can quantitatively reflect the preservation condition of the grotto. The results offer a quantitative basis for determining the priority of grotto conservation and verifying the feasibility of the AHP method in helping conservators identify major deteriorations or judge conservation orders. This research proposes a quantitative evaluation method for the deterioration degree of the grotto, which can lay the foundation for further conservation of the grotto.Graphical

An improved degree evaluation method of NFSR-based cryptosystems

An improved degree evaluation method of NFSR-based cryptosystems

Evaluation Method of Synergy Degree for Comprehensive Benefits System of Hydropower Projects

The hydropower project had comprehensively benefited people from aspects of the economy, society, ecology, etc. The comprehensive benefit is a key indicator for evaluating a project’s performance. However, the existing studies only evaluated the comprehensive benefit and ignored the relationship among different benefits, which is of great significance for the sustainable development of a project. Therefore, in the framework of the complex system composed of economic, social, and ecological benefit subsystems, a synergy degree evaluation method is constructed based on the evaluation index system of the comprehensive benefits, and the compound weight is determined by using the non-linear model and the Lagrange function. Thus, the changing rules of the order degree and the synergy degree for the subsystems in different years can be obtained. The proposed method is applied to a gate dam (named SG) to appraise the relationship among benefits. The results show that the economic, social, and ecological benefits of the SG dam from 2011 to 2018 are gradually to be a better state, but the synergy degrees of the complex system belong to “bottom synergy” and “moderate synergy” level, which indicates that there is no close cooperation among the three benefit subsystems.

Signal Nonstationary Degree Evaluation Method Based on Moving Statistics Theory

Nonstationary signal refers to the signal whose statistics change with time, and its nonstationary degree evaluation can provide effective support for the evaluation of the operating state of the signal source. This paper introduced a variety of typical signal global and local nonstationary degree evaluation methods and compared the applicable scope of different evaluation methods. In view of the limitations of the existing evaluation methods in the scope of application, considering the influence of adjacent signal points, this paper proposed the concepts and calculation methods of the moving mean, moving standard deviation, moving variation coefficient, and moving Hurst exponent based on the theory of moving statistics. According to different nonstationary degree evaluation methods, three different fields of signals (sinusoidal signal, mechanical fault signal, and ECG signal) are analyzed. The results show that, compared with the existing nonstationary degree evaluation methods, the signal nonstationary degree evaluation method proposed in this paper can reveal the time-varying details of the nonstationary signals, with high precision and strong stability, and has unique advantages in nonstationary signal processing.

Bir Üniversite Hastanesi Ortamında Temel İletişim Becerileri Eğitici Eğitimi Programının Değerlendirilmesi

Background: Sustainable basic communication skills programs are important to increase the efficiency of health care personnels in the workplace. The purpose of this article is to present an evaluation of a Basic Communication Skills-Train-the-Trainer Program-BCS-TTP.Methods: This study was based on a pretest-posttest design. We targeted health care personnels in Ege University Medical Faculty Hospital-EUMFH. Forty-four volunteer health care personnels participated in the BCS-TTP, then applied Basic Communication Skills Course-BCSC to others. At the evaluation of the BCS-TTP was used via modified Kirkpatrick's-4-Level-Model. BCS-TTP participants completed the Session Assessment Form-SAF, Training Program Assessment Survey-TPAS for “Level-1:Reaction”. For “Level-2:Learning”, Pretest-Posttest Form-PPF was applied to BSC-TTP participants. In addition, the presentations prepared by the participants were evaluated and feedback was given. For “Level-3:Behavior”, it was examined in BCSC how the participants applied the knowledge and skills they learned at BCS-TTP. For this, 360 degree evaluation method was applied to BCSC participants. BCSC participants were asked to evaluate new trainers through SAF, TPAS, and the information they gained with PPF was measured. Eight new trainers were interviewed through the In-depth Interview Form.For “Level-4:Results”, the status of BCS-TTP participants who completed and left the program and the number of hospital staff trained by new trainers were examined.Results: It was found that BCS-TTP participants were satisfied with the sessions and the program (Level-1). It was observed that there was an increase in the knowledge and educational skills of BCS-TTP participants (Level-2). It was determined that BCSC participants were satisfied with the sessions, training program and trainers, and an increase in their learning levels.In-depth interviews showed that BCS-TTP was effective on transferring gained knowledge/skills into practice (Level-3). 26 of 44 participants were quitted from the program. 18-BCSC’s were run by 18- BCS-TTP participants; 190-staff had been trained by those new trainers (Level-4).Conclusions: The modified Kirkpatrick's-4-Level-Model is a workable instrument to evaluate the effectiveness of a BCS-TTP.

Hard Disk Drive Failure Prediction for Mobile Edge Computing Based on an LSTM Recurrent Neural Network

With the increase in intelligence applications and services, like real-time video surveillance systems, mobile edge computing, and Internet of things (IoT), technology is greatly involved in our daily life. However, the reliability of these systems cannot be always guaranteed due to the hard disk drive (HDD) failures of edge nodes. Specifically, a lot of read/write operations and hazard edge environments make the maintenance work even harder. HDD failure prediction is one of the scalable and low-overhead proactive fault tolerant approaches to improve device reliability. In this paper, we propose an LSTM recurrent neural network-based HDD failure prediction model, which leverages the long temporal dependence feature of the drive health data to improve prediction efficiency. In addition, we design a new health degree evaluation method, which stores current health details and deterioration. The comprehensive experiments on two real-world hard drive datasets demonstrate that the proposed approach achieves a good prediction accuracy with low overhead.

Configuration of product plan based on case reasoning of extenics

Through extenics-based case reasoning, this research puts forward a method to configure the modules of complex machine products. Firstly, the knowledge on the process of product design was represented, and the convergence modes of design plans were analyzed, with the aid of product semantics and the knowledge representation model of the primitives. Next, the semantic correlation function was constructed, and a priority degree evaluation method for product family was created, in order to obtain the optimal configuration plan. In this way, the excellent design genes in product plans with relatively low correlations will be preserved. Finally, the proposed method was verified on the design of computer numerically controlled (CNC) roll grinder. Specifically, the quantitative and qualitative user needs were converted into the design objectives, producing the set of primitives (design objectives). Based on sematic correlations and priority degrees, the product/product family that best match the conceptual product was searched for in the case library, and the optimal configuration plan was prepared, in the light of semantic correlation network and local correlation evaluation. The results show that the local correlations of the bed and workbench module, headstock module, grinding system, measuring system, and support of MK8420 with design objectives were 0.298, 0.450, 0.600, 0.500, and 0.298, respectively, indicating that the configuration plan is in line with user needs and suitable for case-based reasoning. The proposed method has been successfully applied in actual production, laying a good basis for the intelligent design of products.

Assessment of Staff Performance in CSSD Unit by 360 Degree Evaluation Method

Background: 360 degree evaluation is a method that an employee is evaluated by the others and given feedback to him/her. Considering the proper implementation of the sterilization process is important in the prevention of nosocomial infections and has a direct impact on the quality of performance of the surgical team in the operating room. This study was conducted to the Evaluation of CSSD Unit Personnel Performance in Sterilization Process using the 360 Degree technique.&#x0D; Methods: This cross-sectional study was conducted in the educational hospitals of Gillan Province in IRAN, between 2018 and 2019. Assessment of staff performance in CSSD Unit was done by 360 Degree evaluation method in five different stages. The evaluators included the infection control nurses, Supervisors of the sterilization unit, the researcher and the staff of these units as self-assessors. Finally, the collected data were analyzed using SPSS version 20.&#x0D; Results: The evaluation mean scores were as following: the researcher, 75.97 ± 18.9; infection control nurse, 87.62 ± 7.2; unit supervisor, 87.61 ± 7.8 and staff self-assessment, 88.01 ± 8.1; at different stages of the sterilization process. From all assessors view, the highest and lowest scores were related to the cleaning and Health dimensions.&#x0D; Conclusion: According to assessor’s agreement in scoring of different stages of the sterilization process, the 360 degree evaluation method is a valuable tool in assessment of the staff performance in important tasks. By applying this method, it can be ethically prevented evaluators' individual judgments

Research on the Evaluation Model and Method of “Generaliztion, Serialization, Combination” Degree of Naval Gun

In China, there are some problems about the degree evaluation of “generaliztion, serialization, combination” of naval gun, such as the lack of inheritance, the incompleteness of the standard evaluation system, the limitation of the evaluation scheme, and the disunity of the evaluation standard system. In order to solve this problem, this paper established of the degree evaluation model and method of “generaliztion, serialization, combination” of naval gun, by which define the coefficient of generalized number of pieces and the coefficient of generalized type spectrum. This method provides certain data support for the development and production of naval gun series.

Identification of Influencing Factors for Sustainable Development: Evaluation and Management of Regional Innovation Performance in Heilongjiang, China

Although the innovation factor endowment of Heilongjiang province is relatively rich, many innovation resources cannot effectively promote the sustainable development of innovation-driven performance. The combined drift degree evaluation method and grey-DEMATEL model were used to study regional innovation performance in Heilongjiang province and the key factors influencing it. The results of this study show that the overall trend of regional innovation performance is slowly rising. Compared with other regions, the level of science and technology output is in the forefront, and the level of economic output and social effect is at the end. The innovation performance level of enterprises and research institutions is at the end position, showing a trend of slow rise and then slow decline. The innovation performance level of universities is in the middle position, showing a trend of rising first, then falling and then rising. The degree of marketization, the financial environment, the intellectual property system, the transformation of scientific and technological achievements and the level of human capital are the core factors that affect the regional innovation performance. The dominant position and leading role of regional enterprises and the cooperation between industry, university and research institutes should be strengthened through government policies.

Quantitative Evaluation of Visual Aesthetics of Human-Machine Interaction Interface Layout.

The current research on human-machine interaction interface layout focused on ergonomic analysis, while the research on aesthetics and aesthetic degree calculation of interface layout was insufficient. In order to objectively evaluate the aesthetic degree of interface layout, this paper put forward an aesthetic degree evaluation method of interface design based on Kansei engineering. Firstly, the perceptual image structure of interface aesthetic degree was analyzed from the perspective of aesthetic cognition. Six aesthetic image factors affecting interface aesthetic degree, including proportion, conciseness, order, rhythm, density, and equilibrium, were extracted by factor analysis method, and the variance contribution rate of each factor was taken as the weight. Secondly, according to the six aesthetic degree indexes, the calculation system of interface aesthetic degree was constructed, and the aesthetic degree value of aesthetic image factor was calculated by the corresponding aesthetic degree evaluation mathematical formula. Then, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to analyze the order of aesthetic degree superiority of design schemes, and the comprehensive aesthetic degree evaluation was carried out. Finally, the aesthetic degree evaluation of human-machine interaction interface layout of the driller's console of an AC variable frequency drilling rig was taken as an example to verify that this method was helpful for designers to optimize the design scheme. The experimental results showed that the proposed method was feasible and effective compared with the method of paired comparison commonly used in psychophysics.

Energy optimization of the configurable service portfolio for IoT systems

The development of the Internet of Things technology has promoted the continuous improvement of information technology in various fields such as industry, military and transportation. And communication and information exchange through the Internet, with the ability to sense, so smart devices came into being. First, this article proposes an IoT service framework that encapsulates each function of a smart device in an IoT environment into a service that is aggregated into a service class based on the similarity of its functions. Secondly, based on the particle swarm optimization algorithm, the correct service combination is recommended for the service chain. The gray correlation degree evaluation method is used to serve configurable resources, and the combined energy scheme is used for multi-objective comprehensive evaluation. Among them, the configurable service combination plan is evaluated from four aspects: service resource cost, planned completion time, overdue time and resource idle rate. The experimental results show that the particle swarm optimization algorithm can obtain a relatively good IoT service combination, which has better performance than genetic algorithms and ant colony algorithms, and can maintain the load balance of smart devices in load balancing, thereby effectively extending the entire network Life cycle.

An empirical investigation of the coordinated development of natural resources, financial development and ecological efficiency in China

The role of financial development, natural resources and ecological efficiency has generated many attractive avenues for scholarly research, but only few studies have evaluated the coupling coordination degree of natural resources, financial development and ecological efficiency in China from regional perspective. Taking a natural and socio-economic dynamics into accounts, this study explores the coupling coordination degree of natural resources, financial development and ecological efficiency using the data of three Chinese regions i.e. Eastern, Central and Western region from 2006 to 2018. We employed entropy weight method and coupling coordination degree evaluation method for data analysis. The findings of the study show that the financial development of the central and western regions was higher than that of the eastern region. Secondly, although the eastern region lacks natural resources, but its resource utilization efficiency is high. In contrast, the central and western regions are rich in resources, but the utilization efficiency is low. It shows that the regions with relatively backward economic development are over-reliant on natural resources. Thirdly, the ecological efficiency in the central region is lower than that in the eastern region, but it is larger than that in the western region. Finally, the study concludes with some policy implications.

Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM

This paper proposes a demagnetization fault detection, mode recognition, magnetic pole positioning, and degree evaluation method for permanent magnet synchronous motors. First, the analytical model of the single-coil no-load back electromotive force (EMF) of demagnetization fault for Permanent magnet synchronous motor (PMSM) arbitrary magnetic poles is established. In the analytical model, the single-coil no-load back EMF residual of the health state and the single magnetic pole sequential demagnetization fault are calculated and normalized. Model results are used as the fault sample database. Second, the energy interval database of the single-coil no-load back EMF residual with different numbers of magnetic pole demagnetization is established. Demagnetization fault detection and degree evaluation are performed by the real-time acquired amplitudes of the single-coil no-load back EMF residual. The number of demagnetization poles is determined by comparing the energy of the single-coil no-load back EMF residual with the energy interval database. Demagnetization mode recognition and magnetic pole positioning are realized by analyzing the correlation coefficients between normalized the single-coil no-load back EMF residual and the fault sample database. Finally, results of analysis of the finite element simulation validate the feasibility and effectiveness of the proposed method.