PRODUCT COLOR EMATIONAL DESIGN USING INTELLIGENT ALGORITHM


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Man Ding

Hebei University of Technology

Xu Zhang

Dalian Polytechnic University

Copyright © 2018 by Cayley Nielson Press, Inc.

ISBN: 978-0-9992443-5-7

Cayley Nielson Press Scholarly Monograph Series Book Code No.: 182-8-1

US$120.50

 

Preface


With the continuous improvement of users’ life quality, users' emotional experiences and demands on product colors have become an important factor in their decisions to purchase and use products. Therefore, product color design is more and more concerned by the enterprise.

 

At the same time, the company takes the color design of the product as an important embodiment of the product value, and hopes to get rid of the problem of market homogenization. However, compared with developed countries, China's product color design research has a wide gap in basic theory, methods, and applications. As a result, we need to explore theories and methods of product color emotional design, and at the same time promote product color design in China, which has important practical significance for improving the survival and competitiveness of Chinese enterprises.

 

This book is closely related to the hot spots of product color design research, and in-depth study of product color emotional design, the author hopes that this monograph can help breaking through the bottleneck of China's product color design and promoting the development of current product color intelligent design technology.

Man Ding

Hebei University of Technology Tianjing, China

July 15, 2018

 

Contents


 

Preface................................................................................................................................................................................................... I
1 Introduction........................................................................................................................................................................................ 1
1.1 Product Color Emotional Design................................................................................................................................................ 1
1.1.1 Product Color Image.................................................................................................................................................................. 1
1.1.2 Kansei Engineering................................................................................................................................................................... 3
1. 2 Current Research......................................................................................................................................................................... 4
1.2.1 Product Color Image Modeling................................................................................................................................................ 4
1.2.2 Product Color Intelligent Design.............................................................................................................................................. 6
1.3 Contents of This Monograph........................................................................................................................................................ 8
2 Computer-aided Product Color Planning for Multi-working Modes Product Using Synthesized Evaluation Method and Difference Evolution...........................................................................................................................................................................................10
2.1 Introduction.......................................................................................................................................................................... 10
2.2 The Synthesized Color-combination Image Evaluation Method for Multi-working Modes Product.....................14
2.2.1 Implementation Methods and Procedures.................................................................................................................. 14
2.2.1.1 Gray Relational Generating Operation.................................................................................................................... 14
2. 2.1. 2 Gray Clustering Operation........................................................................................................................................ 15
2.2.1.3 Synthesized Evaluating Method for Multi-working Modes Product.......................................................................16
2.2.2 Case Study.......................................................................................................................................................................... 18
2.2.2.1 Creating Basic Color Samples....................................................................................................................................... 18
2.2.2.2 Questionnaire and Investigation.................................................................................................................................... 20
2.2.2.3 The Synthesized Color-combination Image Evaluation for Hair-drier......................................................................21
2.2.3 Method Validation............................................................................................................................................................... 23
2.3 DE-based Color Planning Method.......................................................................................................................................... 25
2.3.1 Differential Evolution............................................................................................................................................................. 25
2.3.2 DE-based Color-combination Schemes Searching Method...........................................................................................26
2.3.3 Case Study............................................................................................................................................................................... 30
2.3.3.1 Parameters Setting............................................................................................................................................................ 30
2.3.3.2 Experimental Result........................................................................................................................................................... 31
2.4 Construction and Realization of The Product Color Planning System for The Multi-working Modes Product......... 34
2.4.1 Interface for Color-combination Scheme Evaluation......................................................................................................... 35
2.4.2 Interface for Color-combination Scheme Search................................................................................................................ 37
2.5 Conclusions and Extensions.................................................................................................................................................... 39
3 Product Color Design Based on Multi-emotion.......................................................................................................................... 41
3.1 Introduction........................................................................................................................................................................... 41
3.2 Product Color Design Based on Multi-emotion...................................................................................................................... 43
3.2.1 The Product Color Design Model for Multi-emotion Product...........................................................................................43
3.2.2 Determining Emotional Dimensions Based on Factor Analysis and Procrustes Analysis........................................ 44
3.2.3 Determining Importance Relationship of Multi-emotion Based on Fuzzy Preference...............................................46
3.2.4 Scheme Solving Based on PSO Algorithm........................................................................................................................ 49
3.3 Case Study............................................................................................................................................................................. 50
3.3.1 Establishing Emotional Dimensions............................................................................................................................... 50
3.3.2 Establishing the Importance Relations among Multi-emotions..................................................................................55
3.3.3 Validation and Analysis..................................................................................................................................................... 55
3.4 Conclusion................................................................................................................................................................................ 57
4 Image-based Tablet Form Design....................................................................................................................................... 59
4.1 Introduction............................................................................................................................................................................ 59
4.2 Framework of image-Based Tablet Form Design.......................................................................................................... 61
4.3 Methodology............................................................................................................................................................................... 63
4.3.1 Construction of Image-Based Tablet Form Design Model..........................................................................................63
4.3.1.1 Building Grey Prediction Model of Tablet Form Image Evaluation......................................................................63
4.3.1.2 Building Image-Based Tablet Form Design Model.................................................................................................... 64
4.3.2 Tablet Form Design Optimization Based on Particle Swarm Optimization.............................................................65
4.3.2.1 Particle Swarm Optimization.................................................................................................................................... 65
4.3.2.2 Establishing Fitness Function.................................................................................................................................. 66
4.3.2.3 The Framework of Solving Tablet Form Scheme And Its Implementation Procedure....................................66
4.4 Results and Discussion.................................................................................................................................................... 68
4.4.1 Create Design Parameter Set of Tablet..................................................................................................................... 69
4.4.2 Create Evaluation Questionnaire of Tablet Image..................................................................................................... 70
4.4.3 Tablet Form Image Evaluation....................................................................................................................................... 70
4.4.4 Tablet Form Scheme Optimization Based on Particle Swarm Optimization............................................................71
4.4.5 Result Verification and Analysis.................................................................................................................................... 71
4.5 Conclusion........................................................................................................................................................................... 74
5 Dynamic Color Design for Multi-modal Industrial Products.............................................................................................75
5.1 Introduction.......................................................................................................................................................................... 75
5.2 Framework........................................................................................................................................................................... 79
5.3 Methodology....................................................................................................................................................................... 80
5.3.1 Dynamic Color Design Model of Multi-Modal Industrial Products............................................................................80
5.3.1.1 Constructing Color Image Evaluation Model of Single-Modal Industrial Products........................................... 80
5.3.1.2 Constructing Dynamic Color Image Evaluation Model for Multi-Modal Industrial Products............................ 82
5.3.1.3 Constructing Dynamic Color Design Model of Multi-Modal Industrial Products ................................................83
5.3.2 Color Optimization of Multi-Modal Industrial Products Based on Genetic Algorithm............................................ 84
5.3.2.1 Fitness Function Establishment................................................................................................................................... 84
5.3.2.2 The Design and Optimization Process of Genetic Algorithm................................................................................85
5.4 Case Study............................................................................................................................................................................. 87
5.4.1 Acquisition of the Users’ Color Image Perception.................................................................................................... 87
5.4.2 Construction of Multi-Modal Industrial Product Dynamic Color Design Model......................................................89
5.4.3 Multi-Modal Industrial Product Color Optimization Based on Genetic Algorithm......................................................90
5.4.4 Results Validation and Discussion................................................................................................................................. 92
5.5 Conclusion................................................................................................................................................................................. 94
6 Product color emotional design considering color layout ....................................................................................................96
6.1 Introduction................................................................................................................................................................................. 96
6.2 Framework............................................................................................................................................................................. 98
6.3 Methodology............................................................................................................................................................................ 101
6.3.1 Evaluation of Product Color Image Design Based On BPNN........................................................................................101
6.3.2 Product Color Design Optimization Based on KNN-GA Algorithm...............................................................................103
6.3.2.1 KNN-GA Algorithm.............................................................................................................................................................104
6.3.2.2 Optimization Step Flow....................................................................................................................................................106
6.4 Case Study..............................................................................................................................................................................108
6.4.1 Acquisition of Users’ Color Image Perception Based On SD....................................................................................108
6.4.2 Establishment of Evaluation Model for Product Color Image Based on BPNN........................................................111
6.4.3 Optimization of Product Color Design Based on KNN-GA...............................................................................................113
6.4.3.1 Recommendation of Color Layout Schemes Based on KNN...................................................................................113
6.4.3.2 Color Design Schemes Generated By GA......................................................................................................................114
6.4.4 System of Product Color Design Recommendation.....................................................................................................117
6.5 Conclusion............................................................................................................................................................................... 120
References.................................................................................................................................................................................... 121

 


 

Readership


This book should be useful for students, scientists, engineers and professionals working in the areas of optoelectronic packaging, photonic devices, semiconductor technology, materials science, polymer science, electrical and electronics engineering. This book could be used for one semester course on adhesives for photonics packaging designed for both undergraduate and graduate engineering students.

 

Originality and Plagiarism

Prospective authors should note that only original and previously unpublished manuscripts will be considered. The authors should ensure that they have written entirely original works, and if the authors have used the work and/or words of others, that this has been appropriately cited or quoted. Furthermore, simultaneous submissions are not acceptable. Submission of a manuscript is interpreted as a statement of certification that no part of the manuscript is copyrighted by any other publication nor is under review by any other formal publication. It is the primary responsibility of the author to obtain proper permission for the use of any copyrighted materials in the manuscript, prior to the submission of the manuscript.