scholarly journals Development of an Intelligent Data-Driven System to Recommend Personalized Fashion Design Solutions

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4239
Author(s):  
Shukla Sharma ◽  
Ludovic Koehl ◽  
Pascal Bruniaux ◽  
Xianyi Zeng ◽  
Zhujun Wang

In the context of fashion/textile innovations towards Industry 4.0, a variety of digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in the organizations of involved enterprises and supply chains as well as services such as marketing and sales. However, the current digital solutions rarely deal with key elements used in the fashion industry, including professional knowledge, as well as fashion and functional requirements of the customer and their relations with product technical parameters. Especially, product design plays an essential role in the whole fashion supply chain and should be paid more attention to in the process of digitalization and intelligentization of fashion companies. In this context, we originally developed an interactive fashion and garment design system by systematically integrating a number of data-driven services of garment design recommendation, 3D virtual garment fitting visualization, design knowledge base, and design parameters adjustment. This system enables close interactions between the designer, consumer, and manufacturer around the virtual product corresponding to each design solution. In this way, the complexity of the product design process can drastically be reduced by directly integrating the consumer’s perception and professional designer’s knowledge into the garment computer-aided design (CAD) environment. Furthermore, for a specific consumer profile, the related computations (design solution recommendation and design parameters adjustment) are performed by using a number of intelligent algorithms (BIRCH, adaptive Random Forest algorithms, and association mining) and matching with a formalized design knowledge base. The proposed interactive design system has been implemented and then exposed through the REST API, for designing garments meeting the consumer’s personalized fashion requirements by repeatedly running the cycle of design recommendation—virtual garment fitting—online evaluation of designer and consumer—design parameters adjustment—design knowledge base creation, and updating. The effectiveness of the proposed system has been validated through a business case of personalized men’s shirt design.

Author(s):  
Zhiqiang Chen ◽  
Zahed Siddique

Today’s design environment has become more distributed and professional. Efficient design management can greatly improve the ability of a company’s competition. To increase efficiency of a design process coordination of Computer-Aided Design and Analysis tools are very important, especially for large complicated systems. In this paper, we introduce the concept of a requirement driven system. Design process usually involves fulfillment of requirements from top-end customer. Adopting requirement driven mechanisms will provide more convenience for design coordination automation and help us find the most resource saving solutions for specific product design. A CORBA framework is discussed to facilitate the implementation of methodologies for requirement driven design coordination. System architecture and modules for the framework are introduced to support a requirement publishing and responding service. Distribution of the tasks is determined by “stigmergy” algorithm, which makes the decision using the performance history of each team and designers. An example of a coffeemaker product design based on the framework, is presented to demonstrate the application of new design system.


2007 ◽  
Vol 359-360 ◽  
pp. 564-568
Author(s):  
Yi Xiong Feng ◽  
Bing Zheng ◽  
Zhe Wei ◽  
Jian Rong Tan

The axiomatic design theory is applied with the product design knowledge expression of abrasive machine tools, making it possible to convert the implicit knowledge created in the study process into the explicit knowledge that will be shared all over the organization. The design knowledge created in the design and developing processes is divided into functional requirements, design parameters, design constraints and design coupling. In this paper, not only has the function-structure knowledge information mapping been analyzed, but also the implementation steps of product knowledge expression have been provided. Moreover, the matter-element model of the product design heterogeneous knowledge of the abrasive machine tool is established and the heterogeneous knowledge semantic rule is described. Finally, through a case of product design knowledge expression which is applied to the MLL60 abrasive flow machining tool, the correctness and practicality of this method are verified.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Yan Hong ◽  
Zhebin Xue ◽  
Chunyu Liu ◽  
Xiaoqun Dai

AbstractThis article focuses on the development of the mask design knowledge base, which is expected to be applied in a personalized mask design system. To realize the proposed knowledge base, a perceptual descriptive space of the mask is first developed for the description of both functional and aesthetic perceptions of a mask. The mask ontology is also developed to form the mask element matrix. Mask design knowledge is expressed as the relationship between the perceptual descriptive space and the mask ontology, which is extracted by a group of experienced designers through a sensory evaluation procedure. This relationship is then simulated by fuzzy logic tools. The proposed knowledge base has been validated that it is reliable. The personalized mask design system can be further developed with the propose mask design knowledge base.


2018 ◽  
pp. 30-34
Author(s):  
A. P. Konovalchik ◽  
O. A. Plaksenko ◽  
A. O. Schiriy

JSC Almaz-Antey in the implementation of the integrated design of complex electronic systems, particularly radar systems, it is required to solve the problem of choosing and optimizing the design parameters of radar devices, including antenna systems, transmitter-receiver paths of radar systems (radar), algorithms and devices for digital generation and processing of radar signals, and radar systems in General. Currently there is no domestic computer-aided design systems that solve these tasks in the complex. Therefore, to solve such problems, the Concern’s enterprises are used by a number of disparate software solutions with their own development and their foreign counterparts. Due to the restrictions caused by the sanctions, the closed scope of the work, as well as in import substitution, highly relevant is the creation of CAD radar, allowing to solve the above problems in a continuous end-to-end loop design. The development of CAD radar conducted by the JSC Almaz-Antey, its subsidiaries and companies with expertise in the design of the radar, using their existing backlog. The paper shows the General architecture of a domestic computer aided design in full cycle end-to-end radar systems (facilities, stations); the concept of five levels of design in the system being developed and the basic requirements for the implementation of this concept. The specificity of the developed computer-aided design system is most pronounced in activity-based scenarios for the use of the designed product in terms of specific air and space attack and defense, and is implemented in the form of functional simulation of the fighting.


2018 ◽  
Vol 30 (5) ◽  
pp. 628-640 ◽  
Author(s):  
Pei Li ◽  
Jian-Hui Chen

Purpose To improve the apparel e-customized system and meet consumers’ personalized requirement in the e-customization, the purpose of this paper is to develop an e-customized co-design system on garment design (ECS-GD) that enables users to co-design garment and communicate with stakeholders. Design/methodology/approach The e-customized co-design system mainly consists of function and modular structure, communication and evaluation modular. Based on the evolutionary algorithm and fuzzy theory, the e-customized system model is proposed with a presentation of garment interface. Based on the parameters of skirts, technical sketches, fabrics, color, patterns, comments and scores, the decision is made by consumers. Findings For the system to be effective, the system was conducted by multi-individuals co-work (consumers, designers, manufacturers and experts). The data flow was congruent to the design knowledge. The expert evaluation and communication were involved in the proposed system. Research limitations/implications The limitation of this study is that the system is not tested in experiments. The model, main function and data flow are proposed in this study, which is important in the e-customized co-design system development. Originality/value Compared to the e-shopping and garment recommendation, the proposed ECS-GD is a good approach to improve the existing e-customized system and a well solution to help consumers with design knowledge recommending, professional suggestions and evaluations. Besides, the sketches and knowledge recommendation are provided to consumers which is a learning process.


2006 ◽  
Vol 505-507 ◽  
pp. 505-510
Author(s):  
Jing Min Li ◽  
Jin Yao ◽  
Yong Mou Liu

Knowledge discovery in database (KDD) represents a new direction of data processing and knowledge innovation. Design is a knowledge-intensive process driven by various design objectives. Implicit knowledge acquisition is key and difficult for the intelligent design system applied to mechanical product design. In this study, the characteristic of implicit design knowledge and KDD are analyzed, a model for product design knowledge acquisition is set up, and the key techniques including the expression and application of domain knowledge and the methods of knowledge discovery are discussed. It is illustrated by an example that the method proposed can be used to obtain the engineering knowledge in design case effectively, and can promote the quality and intelligent standard of product design.


Author(s):  
М. Г. Залюбовський ◽  
І. В. Панасюк ◽  
В. В. Малишев

Synthesis of a seven-link spatial statically determined mechanism without redundant (passive) connection with an additional moving link of a machine for processing parts, followed by an analytical study of its main structural and geometric parameters. Methodology.  An  analytical  research  method  was  used  based  on  the  geometric  and  structural synthesis  of  a  spatial  seven-link  statically  defined  mechanism  with  an  additional  movable  link  without redundant communication of the machine for processing parts; 3D modeling of the machine was performed in the SolidWorks 2016 computer-aided design system. Results.  On  the  basis  of  structural  synthesis,  the  design  of  a  seven-link  spatial  statically  defined mechanism  with  an  additional  movable link  of  the machine for processing  parts is  proposed,  there is  no redundant  connection  in  the  kinematic  chain  of  the  spatial  mechanism,  3D  modeling  of  the  machine  is performed  in  the  CAD  system  SolidWorks  2016.  Analytical  studies  of  the  main  geometric  and  design parameters of the developed machine are carried out. Scientific novelty. The relationship between various geometric parameters of the spatial seven-link statically determined mechanism is established, which makes it possible to calculate the optimal ratio of the lengths of the links of the mechanism to ensure the smooth functioning of the machine without jamming its spatial mechanism.  Practical significance. A new design of a machine for processing parts has been developed, based on  a  seven-section  spatial  statically  determined  mechanism  with  an  additional  moving  link  without redundant  communication.  Mathematical  dependences  are  obtained  for  calculating  its  basic  design  and geometric parameters. These dependencies can be used by the corresponding machine-building enterprises at the design stage of this type of equipment.


2012 ◽  
Vol 522 ◽  
pp. 313-318 ◽  
Author(s):  
Jing Li ◽  
Xiang Jun Zou ◽  
Hong Jun Wang ◽  
Yan Chen

Because of the universality, complexity and uncertainty of mechanical design knowledge, knowledge reasoning and integration of intelligent design system was one of the difficult problems. The valuation of weight by human was used in many methods for knowledge reasoning at present. In order to make the intelligent product design become more scientific and rational, and eliminate the subjective human factors, a method for reasoning using information entropy was proposed. First, by means of the advantage of the relational database include the redundancy, consistency and integrity, the mechanical product design knowledge base was established. Second, based on the information entropy theory, the weight of each attribute was calculated directly through the objective information. Third, based on the objective data in the original sample, the method for calculating the similarity between accurate attributes and uncertainty attributes and design schemes was given. Finally, this method was verified by fruit picking robot intelligent design system, and the result showed that it is objective and effective.


2014 ◽  
Vol 945-949 ◽  
pp. 446-449
Author(s):  
Ai Min Li ◽  
Fa Rong Kou ◽  
Qin Yu Niu ◽  
Hai Bo Tian

Product design and development becomes increasingly knowledge-intensive and collaborative. It is very difficult to meet currently imperious needs for the traditional design mode, knowledge managing methods and the geometry-centric application tool. Designers require more generic knowledge of design and design process and more intelligent system. It establishes the FBPSS framework system supporting modeling of product function, behavior, principle, state and structure. Based on this FBPSS framework system, ontology-based product design system is developed through design knowledge repositories.


Sign in / Sign up

Export Citation Format

Share Document