scholarly journals Evaluation and Optimization of Task-oriented Measurement Uncertainty for Coordinate Measuring Machines Based on Geometrical Product Specifications

2018 ◽  
Vol 9 (1) ◽  
pp. 6 ◽  
Author(s):  
Yinbao Cheng ◽  
Zhongyu Wang ◽  
Xiaohuai Chen ◽  
Yaru Li ◽  
Hongyang Li ◽  
...  
Keyword(s):  
Measurement Uncertainty ◽  
Evaluation Model ◽  
Optimization Method ◽  
Practical Significance ◽  
Measuring Instruments ◽  
Coordinate Measuring Machines ◽  
Measurement Instruments ◽  
Practical Applications ◽  
Geometric Product ◽  
Task Oriented

Measuring instruments are intended to be intelligent, precise, multi-functional and developing multidirectionally, scientific, and reasonable; the reliable evaluation of measurement uncertainty of precision instruments is also becoming more and more difficult, and the evaluation of the Coordinate Measuring Machines (CMM) measurement uncertainty is among the typical problems. Based on Geometric Product Specification (GPS), this paper has systematically studied the CMM uncertainty for evaluating the size and geometrical errors oriented toward measurement tasks, and thus has realized the rapid and reliable evaluation of the CMM uncertainty for task-oriented measurement. For overestimation of the CMM uncertainty for task-oriented measurements in the initial evaluation, a systematic optimization solution has been proposed. Finally, the feasibility and validity of the evaluation model and the optimization method have been verified by three different types of measurement examples of diameter, flatness and perpendicularity. It is typical and representative to systematically solve the problem of the CMM uncertainty for evaluating the measurement tasks targeted at dimensions and geometric errors, and the research contents can be effectively applied to solve the uncertainty evaluation problems of other precision instruments, which are of great practical significance not only for promoting the combination of modern uncertainty theory and practical applications but also for improving the application values of precision measurement instruments.

Uncertainty Evaluation of SEM-Based Nanoroughness Measurement

2012 ◽  
Vol 472-475 ◽  
pp. 1319-1322
Author(s):  
Feng Xia Zhao ◽  
Qing Hai Wang ◽  
Lin Na Zhang ◽  
Peng Zheng
Keyword(s):  
Measurement Uncertainty ◽  
Evaluation Model ◽  
Uncertainty Propagation ◽  
Propagation Model ◽  
Uncertainty Evaluation ◽  
Line Edge Roughness ◽  
Geometric Product ◽  
Edge Roughness ◽  
Product Specification

In metrology, a measurement process without uncertainty evaluation is incomplete. The same applies to nanoroughness metrology. In this paper, Scanning Electron Microscopy (SEM） measurement uncertainty of nanoroughness is studied based on ISO Geometric Product Specification and Verification (GPS). The uncertainty propagation model of SEM-based nanoroughness measurement is presented. The evaluation model of SEM-based standard measurement uncertainty is conducted. As a case study, the line edge roughness uncertainty produced by the JSM-6700F SEM is evaluated.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

scholarly journals Effect of Curriculum Planning for Physical Education in Colleges on Innovation Ability

2020 ◽  
Vol 15 (12) ◽  
pp. 103
Author(s):  
Huiqiu Guo
Keyword(s):  
Physical Education ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Curriculum Planning ◽  
Practical Significance ◽  
Fuzzy Evaluation ◽  
Promoting Effect ◽  
Innovation Ability ◽  
Fuzzy Evaluation Model ◽  
Current Curriculum

With poor integrity and unclear goals, the curriculum planning for physical education (PE) in colleges cannot effectively promote the innovation ability of students. To solve the problem, this paper attempts to clearly evaluate the effect of curriculum planning for college PE on the innovation ability of PE majors. Based on the defects of the current curriculum planning, the authors put forward several strategies and suggestions to enhance the promoting effect of college PE curriculum planning on innovation ability. Following the fuzzy theory, an index system and a fuzzy evaluation model were put forward to quantify the effect of college PE curriculum planning on innovation ability. The research results have great theoretical and practical significance.

The Discussion on the Construction of City Waterfront Landscape Based on the Visual Angle of Ecology Restoration

2011 ◽  
Vol 243-249 ◽  
pp. 6827-6833 ◽  
Author(s):  
Gui Yuan Li ◽  
Zhong Yuan Duan ◽  
Yang Xu
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Visual Angle ◽  
Global Climate ◽  
Optimization Method ◽  
Water Shortage ◽  
Practical Significance ◽  
Living Standard ◽  
Design Technique ◽  
The Sustainable Development

In recent years, with the increase of population, the development of urbanization, and the improvement of people’s living standard, people have got an increasingly strong consciousness of environment landscape. While, the global climate change, water shortage and pollution problems which are resulted in the development of social economy.In this article, according to the different traits of waterfront landscape environment, we will analyze the problems of waterfront landscape environment construction, and discuss the design technique of waterfront landscape and the optimization method of landscape environment based on the visual angle of ecology restoration. This can prompt the development of waterfront landscape environment towards the harmony and intergrowth of nature ,ecology and human culture, and this has practical significance for the sustainable development of human and water.

scholarly journals An Adaptive Operation Strategy for Voltage Stability Enhancement in DMFCs

2018 ◽  
Author(s):  
Qinwen Yang ◽  
Xu-Qu Hu ◽  
Ying Zhu ◽  
Xiu-Cheng Lei ◽  
Xing-Yi Wang
Keyword(s):  
Voltage Stability ◽  
Optimization Method ◽  
Operation Strategy ◽  
Practical Applications ◽  
Operating Current ◽  
Voltage Stability Enhancement ◽  
Voltage Deviation ◽  
Adaptive Operation ◽  
Underlying Mechanisms ◽  
Stability Enhancement

An adaptive operation strategy for on-demand control of DMFC system is proposed as an alternative method to enhance the voltage stability. Based on a single-cell DMFC stack, a newly simplified semi-empirical model is developed from the uniform-designed experimental results to describe the I-V relationship. Integrated with this model, the multi-objective optimization method is utilized to develop an adaptive operation strategy. Although the voltage instability is frequently encountered in unoptimized operations, the voltage deviation is successfully decreased to a required level by adaptive operations with operational adjustments. Moreover, the adaptive operations are also found to be able to extend the range of operating current density or to decrease the voltage deviation according to ones requirements. Numerical simulations are implemented to investigate the underlying mechanisms of the proposed adaptive operation strategy, and experimental adaptive operations are also performed on another DMFC system to validate the adaptive operation strategy. Preliminary experimental study shows a rapid response of DMFC system to the operational adjustment, which further validates the effectiveness and feasibility of the adaptive operation strategy in practical applications. The proposed strategy contributes to a guideline for the better control of output voltage from operating DMFC systems.

scholarly journals Development of Mobile Augmented Reality Based Media for An Electrical Measurement Instrument

2021 ◽  
Vol 2111 (1) ◽  
pp. 012029
Author(s):  
Y M Nursita ◽  
S Hadi
Keyword(s):  
Augmented Reality ◽  
Mobile Application ◽  
Electrical Measuring ◽  
Measurement Instrument ◽  
Electrical Measurement ◽  
Measuring Instruments ◽  
Development Research ◽  
Measurement Instruments ◽  
Electrical Field ◽  
Virtual Objects

Abstract The research aims to develop mobile learning media with augmented reality for electrical measurement instruments. The learner can use this application to improve their skills and knowledge about using electrical measurement instruments correctly. One of the essential skills for electricians is using voltmeter, ammeter, and ohmmeter. The result of measuring they can do some analysis about an issue or troubleshooting the electrical field. From the development research, was produced learning media application product was named ARAVO. ARAVO is an abbreviation of augmented reality of Ammeter, Voltmeter, and Ohmmeter. ARAVO helps learners and even lecturers to simulate the use of electrical measuring instruments by combining virtual objects such as multimeter with the real world. Thus will provide a more visible visualization of how to use electrical measuring instruments before they practice directly with actual measuring instruments. ARAVO is a mobile application that can run on the smartphone platform mobile Android. Into the development of this application must go through several stages before it is ready for use.

Application of various optimization methods in calculating the error of a neural network for diagnosing parasitological diseases of the gastrointestinal tract

2021 ◽  
Author(s):  
N.T. Abdullaev ◽  
U.N. Musevi ◽  
K.S. Pashaeva
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Gastrointestinal Tract ◽  
Optimization Methods ◽  
Optimization Method ◽  
Medical Diagnostics ◽  
The Body ◽  
Conjugate Gradients ◽  
Practical Significance ◽  
Parasitic Diseases

Formulation of the problem. This work is devoted to the use of artificial neural networks for diagnosing the functional state of the gastrointestinal tract caused by the influence of parasites in the body. For the experiment, 24 symptoms were selected, the number of which can be increased, and 9 most common diseases. The coincidence of neural network diagnostics with classical medical diagnostics for a specific disease is shown. The purpose of the work is to compare the neural networks in terms of their performance after describing the methods of preprocessing, isolating symptoms and classifying parasitic diseases of the gastrointestinal tract. Computer implementation of the experiment was carried out in the NeuroPro 0.25 software environment and optimization methods were chosen for training the network: "gradient descent" modified by Par Tan, "conjugate gradients", BFGS. Results. The results of forecasting using a multilayer perceptron using the above optimization methods are presented. To compare optimization methods, we used the values of the minimum and maximum network errors. Comparison of optimization methods using network errors makes it possible to draw the correct conclusion that for the task at hand, the best results were obtained when using the "conjugate gradients" optimization method. Practical significance. The proposed approach facilitates the work of the experimenter-doctor in choosing the optimization method when working with neural networks for the problem of diagnosing parasitic diseases of the gastrointestinal tract from the point of view of assessing the network error.

scholarly journals Conservation for Sustainable Development: The Sustainability Evaluation of the Xijie Historic District, Dujiangyan City, China

2018 ◽  
Vol 10 (12) ◽  
pp. 4645 ◽  
Author(s):  
Huaiyun Kou ◽  
Jian Zhou ◽  
Jie Chen ◽  
Sichu Zhang
Keyword(s):  
Sustainable Development ◽  
Stakeholder Participation ◽  
Evaluation Model ◽  
Historic District ◽  
Sustainability Evaluation ◽  
The Sustainable Development ◽  
Historic Districts ◽  
Practical Applications ◽  
Questionnaire Surveys ◽  
Using Data

Historic districts have become a significant aspect of urban diversity and sustainable development, due to their dual attributes of cultural heritage and living community. This study aims to assess the influence of conservation efforts on the sustainable development of historic districts. Based on a literature review, this study designed a sustainability evaluation model that included twelve indicators and twenty-seven sub-indicators, in reference to heritage conservation, stakeholder participation, economic development, and planning and governance. The case study of the Xijie Historic District in Dujiangyan City, China, was selected to apply the model. Using data collected via questionnaire surveys and in-depth interviews, and using qualitative and quantitative combined methods and weighted averages, the model produced the sustainability index of the Xijie Historic District. Further examinations were performed and findings were explored, regarding the conservation efforts for the Xijie Historic District. Despite the research limitation of a lack of multi-sample verification, the results of the assessment are consistent with what is found in practice, demonstrating the validity of the model. The sustainability evaluation model can be applied to various historic districts and regions, by reassigning indicator weights to the different cases; the indicators system also provides references for research and practical applications for the conservation and sustainable development of other heritage types.

scholarly journals Analysis of the Pneumatic System Parameters of the Suction Cup Integrated with the Head for Harvesting Strawberry Fruit

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4389
Author(s):  
Sławomir Kurpaska ◽  
Zygmunt Sobol ◽  
Norbert Pedryc ◽  
Tomasz Hebda ◽  
Piotr Nawara
Keyword(s):  
Testing Machine ◽  
Equivalent Diameter ◽  
Strawberry Fruit ◽  
Measurement Instruments ◽  
Suction Force ◽  
Practical Applications ◽  
Surface Areas ◽  
Suction Cup ◽  
Suction Cups ◽  
End Effectors

Fruit and vegetable harvest efficiency depends on the mechanization and automation of production. The available literature lacks the results of research on the applicability of pneumatic end effectors among grippers for the robotic harvesting of strawberries. To determine their practical applications, a series of tests was performed. They included the determination of the morphological indicators of the strawberry, fruit suction force, the real stress exerted by fruit suckers and the degree of fruit damage. The fruits’ morphological indicators included the relationships between the weight and geometrical dimensions of the tested fruit, the equivalent diameter, and the sphericity coefficient. The fruit suction force was determined on a stand equipped with a vacuum pump, and control and measurement instruments, as well as a MTS 2 testing machine. The necrosis caused by tissue damage to the fruits by suction cup adhesion was assessed by counting the necrosis surface areas using the LabView programme. The assessment of the necrosis was conducted immediately upon the test’s performance, after 24 and after 72h. The stress values were calculated by referring the values of the suction forces obtained to the surface of the suction cup face. The tests were carried out with three constructions of suction cups and three positions of suction cup faces on the fruits’ surface. The research shows that there is a possibility for using pneumatic suction cups in robotic picking heads. The experiments performed indicate that the types of suction cups constructions, and the zones and directions of the suction cups’ application to the fruit significantly affect the values of the suction forces and stresses affecting the fruit. The surface areas of the necrosis formed depend mainly on the time that elapses between the test and their assessment. The weight of strawberry fruit in the conducted experiment constituted from 13.6% to 23.1% of the average suction force.

scholarly journals Generalized velocity–density model based on microscopic traffic simulation

Transport ◽  
2017 ◽  
Vol 33 (2) ◽  
pp. 489-501 ◽  
Author(s):  
Oussama Derbel ◽  
Tamás Péter ◽  
Benjamin Mourllion ◽  
Michel Basset
Keyword(s):  
Large Scale ◽  
Interpolation Method ◽  
Function Class ◽  
Density Model ◽  
Driver Model ◽  
Practical Significance ◽  
Model Parameters ◽  
Practical Applications ◽  
Velocity Models ◽  
Traffic Characteristics

In case of the Intelligent Driver Model (IDM) the actual Velocity–Density law V(D) applied by this dynamic system is not defined, only the dynamic behaviour of the vehicles/drivers is determined. Therefore, the logical question is whether the related investigations enhance an existing and known law or reveal a new connection. Specifically, which function class/type is enhanced by the IDM? The publication presents a model analysis, the goal of which was the exploration of a feature of the IDM, which, as yet, ‘remained hidden’. The theoretical model results are useful, this analysis important in the practice in the field of hybrid control as well. The transfer of the IDM groups through large-scale networks has special practical significance. For example, in convoys, groups of special vehicle, safety measures with delegations. In this case, the large-scale network traffic characteristics and the IDM traffic characteristics should be taken into account simultaneously. Important characteristics are the speed–density laws. In case of effective modelling of large networks macroscopic models are used, however the IDMs are microscopic. With careful modelling, we cannot be in contradiction with the application of speed–density law, where there IDM convoy passes. Therefore, in terms of practical applications, it is important to recognize what kind of speed–density law is applied by the IDM convoys in traffic. Therefore, in our case the goal was not the validation of the model, but the exploration of a further feature of the validated model. The separate validation of the model was not necessary, since many validated applications for this model have been demonstrated in practice. In our calculations, also the applied model parameter values remained in the range of the model parameters used in the literature. This paper presents a new approach for Velocity–Density Model (VDM) synthesis. It consists in modelling separately each of the density and the velocity (macroscopic parameter). From this study, safety time headway (microscopic parameter) can be identified from macroscopic data by mean of interpolation method in the developed map of velocity–density. By combining the density and the velocity models, a generalized new VDM is developed. It is shown that from this one, some literature VDMs, as well as their properties, can be derived by fixing some of its parameters.

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