Deviation Propagation Model of Assembly Sequence and Quality Evaluation Approach Based on Degree of Dimensional Variation

2011 ◽  
Vol 47 (02) ◽  
pp. 1 ◽  
Author(s):  
Sihang ZHOU
Keyword(s):  
Quality Evaluation ◽  
Propagation Model ◽  
Assembly Sequence ◽  
Evaluation Approach ◽  
Deviation Propagation ◽  
Dimensional Variation

scholarly journals A reservoir quality evaluation approach for tight sandstone reservoirs based on the gray correlation algorithm: A case study of the Chang 6 layer in the W area of the as oilfield, Ordos Basin

2021 ◽  
pp. 014459872199851
Author(s):  
Yuyang Liu ◽  
Xiaowei Zhang ◽  
Junfeng Shi ◽  
Wei Guo ◽  
Lixia Kang ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Ordos Basin ◽  
Reservoir Quality ◽  
Pore Throat ◽  
Tight Sandstone ◽  
Evaluation Approach ◽  
Correlation Algorithm ◽  
Gray Correlation ◽  
Sandstone Reservoir

As an important type of unconventional hydrocarbon, tight sandstone oil has great present and future resource potential. Reservoir quality evaluation is the basis of tight sandstone oil development. A comprehensive evaluation approach based on the gray correlation algorithm is established to effectively assess tight sandstone reservoir quality. Seven tight sandstone samples from the Chang 6 reservoir in the W area of the AS oilfield in the Ordos Basin are employed. First, the petrological and physical characteristics of the study area reservoir are briefly discussed through thin section observations, electron microscopy analysis, core physical property tests, and whole-rock and clay mineral content experiments. Second, the pore type, throat type and pore and throat combination characteristics are described from casting thin sections and scanning electron microscopy. Third, high-pressure mercury injection and nitrogen adsorption experiments are optimized to evaluate the characteristic parameters of pore throat distribution, micro- and nanopore throat frequency, permeability contribution and volume continuous distribution characteristics to quantitatively characterize the reservoir micro- and nanopores and throats. Then, the effective pore throat frequency specific gravity parameter of movable oil and the irreducible oil pore throat volume specific gravity parameter are introduced and combined with the reservoir physical properties, multipoint Brunauer-Emmett-Teller (BET) specific surface area, displacement pressure, maximum mercury saturation and mercury withdrawal efficiency parameters as the basic parameters for evaluation of tight sandstone reservoir quality. Finally, the weight coefficient of each parameter is calculated by the gray correlation method, and a reservoir comprehensive evaluation indicator (RCEI) is designed. The results show that the study area is dominated by types II and III tight sandstone reservoirs. In addition, the research method in this paper can be further extended to the evaluation of shale gas and other unconventional reservoirs after appropriate modification.

scholarly journals An Ontology and AHP Based Quality Evaluation Approach for Reuse Parts of End-of-Life Construction Machinery

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Fei-xiang Xu ◽  
Xin-hui Liu ◽  
Wei Chen ◽  
Chen Zhou ◽  
Bing-wei Cao
Keyword(s):  
End Of Life ◽  
Quality Evaluation ◽  
High Strength ◽  
Analytic Hierarchy ◽  
Web Based ◽  
Construction Machinery ◽  
Evaluation Approach ◽  
Semantic Relevance ◽  
The Impact ◽  
Hierarchy Process

Effective reuse and recycling of end-of-life (EOL) products are essential for improving resource efficiency and protecting environment. Currently, many parts of construction machinery in EOL stage can still be reused directly because they are designed with extreme high strength to meet the bad working conditions, which minimizes the impact on the environment. In this context, a quality evaluation approach for reuse parts is proposed in this paper. Ontology model is built for representing evaluation information with semantic properties and constructing the semantic relevance among the various concepts involved in parts reusing domain, thus achieving the integrating, sharing, and reusing of evaluating parts knowledge. On that basis, analytic hierarchy process (AHP) is put forward to quantify the reusability degree of the parts of EOL construction machinery. Furthermore, combined with ontology, rule-based-reasoning method is utilized to get suggested strategies for reuse parts. In addition, a web-based system is developed to assist manufacturers in managing reuse parts, and a case study is analyzed to demonstrate the proposed quality evaluation approach.

A quality evaluation approach to disclosing third mission activities and intellectual capital in Italian universities

2018 ◽  
Vol 19 (1) ◽  
pp. 178-201 ◽  
Author(s):  
Daniela Di Berardino ◽  
Christian Corsi
Keyword(s):  
Intellectual Capital ◽  
Quality Evaluation ◽  
Mandatory Reporting ◽  
Third Mission ◽  
Research Activity ◽  
Content Type ◽  
Evaluation Approach ◽  
The University ◽  
The Impact

Purpose Using the quality evaluation approach, the purpose of this paper is to analyze the contribution of intellectual capital (IC) to the development of the third mission in Italian universities, defining the impact of these activities in the regional context. This research aims to verify if the mandatory reporting on quality discloses the contribution of IC to value creation, enhancing the universities’ awareness about IC management and third mission development. Design/methodology/approach The convergence between IC framework and quality evaluation approach is tested through an empirical research on a sample of 71 Italian universities funded by the government. Statistical analyses use data collected for the period 2004-2014 during the national assessment for research activity and third mission performance. The impact of third mission on the university ecosystem is verified using the indexes related to the territorial development rates. Findings This research found significant IC disclosure in the quality evaluation model and it highlights the possible integration between the IC measures and the quality evaluation indicators. The research findings show also a positive impact of third mission activities in the university ecosystem and the relevant role of structural capital and relational capital in the development of third mission. These findings encourage a collegial discussion in the university governance and among academics, stimulating a strategic behavior in the whole system Research limitations/implications The paper focuses the attention on research activity and third mission, considering the final results provided by an external stakeholder of university. Further research must include the role of teaching activity and the opinion of universities’ managers, researchers and administrative staff. Originality/value Following the neo-institutional sociology perspective, this research analyses for the first time the convergence between the solid experience of quality assessment and the immature IC culture in Italian universities. This analysis explores the value created by intangible activities in the university ecosystem, with a longitudinal perspective, contributing to the fourth stage of the IC literature.

scholarly journals A Holistic Quality Evaluation, Selection and Improvement Approach driven by Multilevel Goals and Strategies

2016 ◽  
Author(s):  
Belen Rivera ◽  
Pablo Becker ◽  
Fernanda Papa ◽  
Luis Olsina
Keyword(s):  
Quality Evaluation ◽  
Information Need ◽  
Conceptual Base ◽  
Integrated Strategies ◽  
Evaluation Approach ◽  
Business Goals ◽  
Operational Level ◽  
Specific Goal ◽  
Measurement And Evaluation ◽  
Project Strategy

Organizations should establish business goals and check for their achievement in a systematic and disciplined way. In order to know if a business goal is achieved, it should be necessary to consider information need goals that also can require satisfying measurement and evaluation goals at operational level. Furthermore, if measurement and evaluation goals are not aligned with top-level business goals such as tactical or strategic level goals, the organization could waste its effort and resources. Usually, the different goals established in an organization are operationalized through projects. For a given project, strategies should be used in order to help in the goal achievement. A strategy defines a set of activities and methods to be followed for a specific goal purpose. Ultimately, to engineering all these issues in a systematic way, organizations should adopt a holistic evaluation approach supported by a set of integrated strategies. By means of a systematic literature review as research method, we have observed that very few approaches support integrated strategies and multilevel goals. To bridge this gap, we have developed a holistic quality multilevel and multipurpose evaluation approach that ties together multilevel goals, projects and integrated strategies. As contributions, this paper discusses an enhanced conceptual base (specified by ontologies) for linking business and information need goal concepts with project, strategy and nonfunctional requirements concepts. Then, it defines the step by step of our holistic quality evaluation approach, by listing the necessary activities to establish goals and projects at different organizational levels. Lastly, it specifies and illustrates evaluation scenarios for business/information need goal purposes such as understanding, improving, monitoring and controlling, comparing and selecting entities, which are supported by strategies and strategy patterns.

scholarly journals QUALITY EVALUATION OF LAND-COVER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

2018 ◽  
Vol XLII-3 ◽  
pp. 257-262 ◽  
Author(s):  
Y. Dang ◽  
J. Zhang ◽  
Y. Zhao ◽  
F. Luo ◽  
W. Ma ◽  
...  
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Land Cover ◽  
Convolutional Neural Network ◽  
Land Surface ◽  
Quality Evaluation ◽  
Remote Sensing Data ◽  
Land Cover Classification ◽  
Sensing Data ◽  
Evaluation Approach

Land-cover classification is one of the most important products of earth observation, which focuses mainly on profiling the physical characters of the land surface with temporal and distribution attributes and contains the information of both natural and man-made coverage elements, such as vegetation, soil, glaciers, rivers, lakes, marsh wetlands and various man-made structures. In recent years, the amount of high-resolution remote sensing data has increased sharply. Accordingly, the volume of land-cover classification products increases, as well as the need to evaluate such frequently updated products that is a big challenge. Conventionally, the automatic quality evaluation of land-cover classification is made through pixel-based classifying algorithms, which lead to a much trickier task and consequently hard to keep peace with the required updating frequency. In this paper, we propose a novel quality evaluation approach for evaluating the land-cover classification by a scene classification method Convolutional Neural Network (CNN) model. By learning from remote sensing data, those randomly generated kernels that serve as filter matrixes evolved to some operators that has similar functions to man-crafted operators, like Sobel operator or Canny operator, and there are other kernels learned by the CNN model that are much more complex and can’t be understood as existing filters. The method using CNN approach as the core algorithm serves quality-evaluation tasks well since it calculates a bunch of outputs which directly represent the image’s membership grade to certain classes. An automatic quality evaluation approach for the land-cover DLG-DOM coupling data (DLG for Digital Line Graphic, DOM for Digital Orthophoto Map) will be introduced in this paper. The CNN model as an robustness method for image evaluation, then brought out the idea of an automatic quality evaluation approach for land-cover classification. Based on this experiment, new ideas of quality evaluation of DLG-DOM coupling land-cover classification or other kinds of labelled remote sensing data can be further studied.

On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Images

2020 ◽  
Vol 2020 (9) ◽  
pp. 287-1-287-11
Author(s):  
Abderrezzaq Sendjasni ◽  
Mohamed-Chaker Larabi ◽  
Faouzi Alaya Cheikh
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Quality Evaluation ◽  
Subjective Evaluation ◽  
Video Quality ◽  
Visual Saliency ◽  
Quality Metrics ◽  
Subjective Quality Assessment ◽  
Evaluation Approach ◽  
Omnidirectional Images

Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach for predicting image quality. Even though a large literature exists for 2D image and video quality evaluation, 360-degree images quality is still under-explored. One can question the efficiency of 2D quality metrics on such a new type of content. To this end, we propose to study the possible improvement of well-known 2D quality metrics using important features related to 360-degree content, i.e. equator bias and visual saliency. The performance evaluation is conducted on two databases containing various distortion types. The obtained results show a slight improvement of the performance highlighting some problems inherently related to both the database content and the subjective evaluation approach used to obtain the observers’ quality scores.

Sign in / Sign up

Export Citation Format

Share Document