scholarly journals Cognitive Matching of Design Subjects in Product Form Evolutionary Design

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Shutao Zhang ◽  
Shijie Wang ◽  
Aimin Zhou ◽  
Shifeng Liu ◽  
Jianning Su
Keyword(s):  
Evaluation System ◽  
Intelligent Design ◽  
Evolution System ◽  
Image Evaluation ◽  
Matching Model ◽  
Cognitive Differences ◽  
Matching Process ◽  
Order Preference ◽  
Artificial Neural Network Ann ◽  
Product Forms

In actual product development, the cognitive differences between users and designers make it difficult for the designed products to be recognized by users. To reduce the cognitive differences between these two design subjects, this paper proposes a method of cognitive matching of the design subjects. First, we use the relevant methods of Kansei engineering to quantify the Kansei image cognition of the two design subjects and construct a cognitive matching model of the design subjects with information entropy and the technique for order preference by similarity to ideal solution (TOPSIS). Second, according to the Kansei image, the Kansei image prototype cluster is constructed, and the representative Kansei image prototype is obtained. Then, we combine an artificial neural network (ANN) with a cognitive matching model of the design subjects to construct a product Kansei image evaluation system; this is used to evaluate the evolved forms. Finally, a product Kansei image form evolution system is constructed based on the genetic algorithm (GA). To some extent, the system simulates the cognitive matching process between designers and users in product design, helps designers to more accurately understand the cognitive trends of the two design subjects, and provides a theoretical basis for the intelligent design of product forms through the cognitive balance of multiple design subjects. This paper takes a beverage bottle as an example to verify the feasibility of the model through a comparative study.

scholarly journals Color Image Evaluation for Small Space Based on FA and GEP

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Li Deng ◽  
Sui-Huai Yu ◽  
Wen-Jun Wang ◽  
Jun-Xuan Chen ◽  
Guo-Chang Liu
Keyword(s):  
Evaluation System ◽  
Frequency Conversion ◽  
Evaluation Method ◽  
Color Image ◽  
Gene Expression Programming ◽  
Image Evaluation ◽  
Evaluation Tool ◽  
Small Space ◽  
Entropy Weight ◽  
Fast Evaluation

Aiming at the problem that color image is difficult to quantify, this paper proposes an evaluation method of color image for small space based on factor analysis (FA) and gene expression programming (GEP) and constructs a correlation model between color image factors and comprehensive color image. The basic color samples of small space and color images are evaluated by semantic differential method (SD method), color image factors are selected via dimension reduction in FA, factor score function is established, and by combining the entropy weight method to determine each factor weights then the comprehensive color image score is calculated finally. The best fitting function between color image factors and comprehensive color image is obtained by GEP algorithm, which can predict the users’ color image values. A color image evaluation system for small space is developed based on this model. The color evaluation of a control room on AC frequency conversion rig is taken as an example, verifying the effectiveness of the proposed method. It also can assist the designers in other color designs and provide a fast evaluation tool for testing users’ color image.

scholarly journals Intelligent Design of Product Forms Based on Design Cognitive Dynamics and a Cobweb Structure

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Wenjin Yang ◽  
Jian-Ning Su ◽  
Shutao Zhang ◽  
Kai Qiu ◽  
Xinxin Zhang
Keyword(s):  
Design Process ◽  
Intelligent Design ◽  
Design Thinking ◽  
Information Source ◽  
Dynamic Mechanism ◽  
Cognitive Dynamics ◽  
Wide Range ◽  
Product Image ◽  
The Impact ◽  
Product Forms

Design is a complex, iterative, and innovative process. By traditional methods, it is difficult for designers to have an integral priori design experience to fully explore a wide range of design solutions. Therefore, refined intelligent design has become an important trend in design research. More powerful design thinking is needed in intelligent design process. Combining cognitive dynamics and a cobweb structure, an intelligent design method is proposed to formalize the innovative design process. The excavation of the dynamic mechanism of the product evolution process during product development is necessary to predict next-generation multi-image product forms from a larger design space. First, different design thinking stimulates the information source and is obtained by analyzing the designers’ thinking process when designing and mining the dynamic mechanism behind it. Based on the nonlinear cognitive cobweb process proposed by Francisco and a natural cobweb structure, the product image cognitive cobweb model (PICCM) is constructed. Then, natural cobweb predation behavior is simulated using a stimulus information source to impact the PICCM. This process uses genetic algorithms to obtain numerous offspring forms, and the PICCM’s mechanical properties are the energy loss parameters in the impact information. Furthermore, feasible solutions are selected from intelligent design sketches by the product artificial form evaluation system based on designers’ cognition, and a new product image cognitive cobweb system is reconstructed. Finally, a case study demonstrates the efficiency and feasibility of the proposed approach.

Automatic image evaluation system

1989 ◽  
Vol 22 (6) ◽  
pp. 377
Author(s):  
Siemens-Infoservice
Keyword(s):  
Evaluation System ◽  
Image Evaluation

Study on Demarcation of Basic Farmland Based on GIS — A Case Study of Fogang County

2014 ◽  
Vol 1010-1012 ◽  
pp. 1312-1316
Author(s):  
Xin Xin Hou ◽  
Peng Jiao ◽  
Li Li
Keyword(s):  
Evaluation System ◽  
Entropy Method ◽  
Cultivated Land ◽  
Analytic Hierarchy ◽  
Land Protection ◽  
Technological Support ◽  
Farmland Protection ◽  
Order Preference ◽  
Regional Sustainable Development ◽  
Addition Amount

The demarcation of basic farmland scientifically is important to cultivated land protection, agriculture-economy development, and regional sustainable development. This paper took Fogang County as an example, calculated the amount of basic farmland protection and exclusion and then quantified the addition amount; established the evaluation system of farmland; used Analytic Hierarchy Process (AHP) and entropy method to determine the index weights; prioritized the selected cultivated land using GIS and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS); and then combined with the addition amount to optimize the basic farmland spatially. The study result proved that the demarcate method of basic farmland was feasible, and can provide scientific and technological support for basic farmland planning.

An Evaluation of Urban Artificial Wetland Landscape Proposal Based on AHP-TOPSIS

2010 ◽  
Vol 113-116 ◽  
pp. 1452-1455
Author(s):  
Yi Chuan Zhang ◽  
Li Fang Qiao ◽  
An Guo Qi ◽  
Lian Fang Yao
Keyword(s):  
Evaluation System ◽  
Green Space ◽  
Evaluation Method ◽  
Artificial Wetland ◽  
Analytic Hierarchy ◽  
Wetland Landscape ◽  
Order Preference ◽  
Differentiation Degree ◽  
Good Differentiation ◽  
Hierarchy Process

The urban artificial wetland is an important component of an urban green space system, and the adoption of quantitative method for studying the evaluation of urban wetland landscape proposal is of great significance to promote the construction of urban artificial wetland. In this study, the evaluation system of urban artificial wetland landscape proposal was established by selecting 6 indicators such as technology, bio-diversity, landscape function, maintenance, construction cost and artistic effect, and adopting the methods of Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and empirical evaluations of 30 urban artificial wetland landscape proposals have been conducted to verify the feasibility of the model. The results showed that: AHP-TOPSIS model was applied to the evaluation of urban artificial wetland landscape proposal with a good differentiation degree, which can be used for a comprehensive, reasonable and accurate assessment on the comprehensive quality of an urban artificial wetland landscape proposal as a simple and effective evaluation method. This method also can be applied to evaluation and classification on landscape proposals of other types of green space.

Investigation and Evaluation on the Moisture-Absorption and Quick-Drying Properties of Stitch-Bonded Nonwoven Fabrics with Hemp/Polyester Blended Used in Shoe’s Lining

2012 ◽  
Vol 602-604 ◽  
pp. 847-852
Author(s):  
Xin Hao ◽  
Xin Min Hao ◽  
Jian Chun Zhang ◽  
Hong Wei Li ◽  
Gun Jun Zhang ◽  
...  
Keyword(s):  
Evaluation System ◽  
High Performance ◽  
Evaluation Method ◽  
Moisture Absorption ◽  
Comprehensive Evaluation ◽  
Strenuous Exercise ◽  
Variation Method ◽  
Nonwoven Fabrics ◽  
Order Preference ◽  
Drying Properties

Micro-environments of shoes chamber after strenuous exercise were simulated by using self-made experimental device. Under the different conditions of temperature and humidity, moisture absorption, water transmissibility, water retention and moisture liberation of stitch-bonded fabrics with different content of hemp was tested. According to multiple properties of the moisture-absorption and quick-drying, tested performance of five aspects were used to build the evaluation system about it. TOP-SIS (Technique for Order Preference by Similarity to Ideal Solution) and coefficient of variation method can calculate the degree of closeness of actual values and ideal values so as to establish a comprehensive evaluation method. The results show that when content of hemp is nearly 40%, shoe’s lining of stitch-bonded materials can obtain high performance, which can meet the requirement for shoe’s lining.

scholarly journals A Matching Method of Heterogeneous Database based on SOM and BP Neural Network

2021 ◽  
Vol 15 ◽  
pp. 383-392
Author(s):  
Yongjie Zhu ◽  
Shenzhan Feng
Keyword(s):  
Large Scale ◽  
Recall Rate ◽  
Heterogeneous Data ◽  
Heterogeneous Databases ◽  
Heterogeneous Database ◽  
Matching Model ◽  
Bp Network ◽  
Data Matching ◽  
Matching Process ◽  
Attribute Matching

In the process of data integration among heterogeneous databases, it is significantly important to analyze the identical attributes and characteristics of the databases. However, the existing main data attribute matching model has the defects of oversize matching space and low matching precision. Therefore, this paper puts forward a heterogeneous data attribute matching model on the basis of fusion of SOM and BP network through analyzing the attribute matching process of heterogeneous databases. This model firstly matches the heterogeneous data attributes in advance by SOM network to determine the centre scope of attribute data to be matched. Secondly, the accurate match will be carried out through BP network of the standard heterogeneous data various attribute center. Finally, the matching result of the relevant actual database shows that this model can effectively reduce the matching space in the case of complex pattern. As for the large-scale data matching, the matching accuracy is relatively high. The average precision is 89.52%, and the average recall rate is 100%.

scholarly journals Lean Path for High-Quality Development of Chinese Logistics Enterprises Based on Entropy and Gray Models

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 641
Author(s):  
Huang ◽  
Li ◽  
Wang ◽  
Wang
Keyword(s):  
Evaluation System ◽  
Three Dimensional ◽  
Relational Model ◽  
Enterprise Management ◽  
Quality Development ◽  
Entropy Weight ◽  
High Quality ◽  
Logistics Enterprises ◽  
Order Preference ◽  
Development Evaluation

According to literature review and the data of China’s logistics listed companies, this paper firstly designs the high-quality development evaluation system of logistics enterprises and establishes the panel data model group. Secondly, the method of entropy weight-Technique for Order Preference by Similarity to an Ideal Solution（TOPSIS method）is used to synthesize and regress the indexes, and obtains that the fitting degree of the model is low, which is caused by the lack of data of some indicators in the logistics enterprises. Due to the gray nature of data information, the improved gray relational model and the three-dimensional gray relational model are constructed to study, in-depth, the strategic focus and breakthrough of high-quality development of Chinese logistics enterprises. The research finds that the innovation and the operation ability of Chinese logistics enterprises are weak, which shows specifically in the following aspects: (1) The irrational structure of the employees, the proportion of employees with a bachelor degree or above is small, and the high-education personnel fail to significantly promote the corporate performance; (2) R&D expenditure has little effect on the high-quality development of enterprises. The proportion of R&D expenses is small and cannot be translated into actual benefits, and the ability of enterprise management innovation is insufficient. According to these findings, this paper gives three lean paths for the high-quality development of China’s logistics enterprises.

scholarly journals Milk quality testing using intelligent inference performance evaluation system integrated with IoT

2018 ◽  
Vol 7 (2.20) ◽  
pp. 74
Author(s):  
G Suresh Babu ◽  
V Rama Krishna ◽  
V Dharma Teja ◽  
S Balraj Yadav
Keyword(s):  
Food Processing ◽  
Evaluation System ◽  
Large Scale ◽  
Processing System ◽  
Performance Evaluation System ◽  
Perishable Product ◽  
Quality Testing ◽  
Artificial Neural Network Ann ◽  
Quality Of Milk

One of the major used food item in day to day life is milk. Many large-scale industries are in the distribution of milk products. Quality of milk is one of the major factor in the food processing system and customers appreciate quality products. IoT is revolution and it is using extensively in our day to day life.  Our project is about maintaining the quality of the milk as it’s a perishable product. In this paper we concentrated on how the milk is depending on the different factors available in it and each one effects the quality. An attempt is made to analyze the data from the sensors with IoT used in the milk production with the help of Artificial Neural Network (ANN). The results are exhibited through an example.  

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