Scientific and Technological Resource Sharing Model Based on Few-Shot Relational Learning

To retain valuable information to the maximum extent and enhance the ability to mine the crude oil trade purchase price demand, this paper proposes a crude oil trade purchase model based on the DEA-Malmquist algorithm. The intranet of the management and control platform shall share the same database, and the intranet shall only allow managers to access and manage the system and only allow all registered users to access and realize data exchange between the intranet and the intranet through two-dimensional code scanning; moreover, due to the resource sharing between the intranet and the intranet for crude oil trade procurement, suppliers and other registered users can immediately grasp the procurement trends of enterprises. Under the DEA-Malmquist algorithm, the uncertainty of procurement management is analyzed by fuzzy theory, and the refined procurement decision model with fuzzy parameters is established. The optimal order time and purchase quantity are determined through the symbol distance and the method of the center of gravity. Experimental results show that the method can effectively retain valuable information in the initial sequence and has better practical application value of material procurement demand intelligent mining. The proposed model obtained the highest accuracy of 98.62%.

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Research on Traffic Data Resource Sharing Model Based on Blockchain

10.1145/3478905.3478927 ◽

2021 ◽

Author(s):

Zichen Zhang ◽

Yong Shao ◽

Yuliang Shi ◽

Changshun Yan

Keyword(s):

Resource Sharing ◽

Traffic Data ◽

Data Resource ◽

Model Based

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Research on hierarchical manufacturing resource sharing model based on the chord

10.14257/astl.2014.53.09 ◽

2014 ◽

Author(s):

Shuqi Wang ◽

Yunxia Jiang ◽

Dongnan Sun ◽

Bowen Zhao

Keyword(s):

Resource Sharing ◽

Model Based ◽

Manufacturing Resource

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A Cloud Assisted Hybrid Model Based Speaker Recognition and Resource Sharing

Procedia Computer Science ◽

10.1016/j.procs.2019.12.123 ◽

2019 ◽

Vol 163 ◽

pp. 410-416

Author(s):

Saeed Mian Qaisar ◽

Sarah Bahanshal ◽

Hibatallah Alwazani

Keyword(s):

Hybrid Model ◽

Speaker Recognition ◽

Resource Sharing ◽

Model Based

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The Multidimensional Manufacturing Resource Modeling and Integration of Multistage Manufacturing System Based on Meta-Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.69-70.555 ◽

2009 ◽

Vol 69-70 ◽

pp. 555-559

Author(s):

Yuan Kun Gui ◽

Qiao Ying Dong ◽

Shu Lin Kan

Keyword(s):

Resource Sharing ◽

Manufacturing System ◽

Resource Model ◽

Meta Model ◽

Model Based ◽

Multistage Manufacturing ◽

Application Systems ◽

Information Layer ◽

Manufacturing Resource ◽

Model Layer

In order to achieve the manufacturing resource sharing inside and outside the enterprise in the multistage manufacturing system, the multidimensional manufacturing resource concept model was presented from two aspects. The manufacturing resource application integration model faced application systems and the capacity manufacturing unit model faced manufacturing capacity were established respectively. The structure and modeling method of multidimensional manufacturing resource model based on meta-model was presented. The meta-model consisted of information layer, model layer and meta-model layer and unified the multidimensional model in the same model frame. Finally, the integration method of the model based on eXtensible Markup Language(XML) was established. The presented multi-dimensional manufacturing resource model can achieve the internal and exterior sharing in the networked manufacturing environment.

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Response Threshold Model-Based Device Assignment for Cooperative Resource Sharing in a WSAN

International Journal of Swarm Intelligence and Evolutionary Computation ◽

10.4303/ijsiec/235560 ◽

2012 ◽

Vol 1 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Takuya Iwai ◽

Naoki Wakamiya ◽

Masayuki Murata

Keyword(s):

Resource Sharing ◽

Threshold Model ◽

Response Threshold ◽

Model Based ◽

Response Threshold Model

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Development of Deeper Learning Cycle-Project Based Learning Model Based on Resource Sharing in Artificial Neural Network Courses

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.e6244.018520 ◽

2020 ◽

Vol 8 (5) ◽

pp. 1698-1702

Keyword(s):

Learning Outcomes ◽

Resource Sharing ◽

Goodness Of Fit ◽

Project Based Learning ◽

Learning Cycle ◽

Learning Tools ◽

Learning Abilities ◽

Model Based ◽

Confirmatory Factor ◽

And Control

The aim of this study was to determine the development of Deeper Sharing Learning Cycle-PjBL model based on Resource Sharing in the application of information literacy to prepare the learning process and find out how students' learning abilities. Deeper Learning Cycle-PjBL Model based on Resource Sharing consists of Resource Sharing applications, model books, teaching module books, learning tools, the use of lecturer applications and the use of valid, practical and effective student applications. The method used in this research is the Borg and Gall research and development model with 10 stages which are then simplified into 5 stages of development. The validity of the model is analyzed using Aiken'V while the practicality of the practicality of the model is measured by the user. The effectiveness of the model is measured by using the model and measuring learning outcomes. Respondents were used in the experimental class and control class with 33 students and were analyzed by t-test. Research in the development of the model through scientific studies, and analysis is done by testing the Confirmatory Factor Analysis using the Lisrel application. The results of the construct test on the syntax after testing meet the criteria for goodness-of-fit-models with the value P.Value = 0.54750, while for the RSMEA value = 0.000, thus for the value of x 2 / df ≤ 2, thus the Deeper Learning Cycle-PjBL Model is based Resource Sharing is declared valid.

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