Interactive Sketch Design Recognition System Using Evolutionary Techniques

2014 ◽  
Vol 18 (1) ◽  
pp. 89-103
Author(s):  
P. Y. Mok ◽  
X.X. Wang ◽  
J. Xu ◽  
J.T. Fan ◽  
Y.L. Kwok ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Subjective Evaluation ◽  
Recognition System ◽  
Experimental Results ◽  
Fashion Design ◽  
Recognition Method ◽  
Sketch Recognition ◽  
Interactive Genetic Algorithm ◽  
Recognition Process ◽  
Composite Description

In this study, a methodology integrating a sketch design recognition approach with an interactive genetic algorithm is proposed to help laypersons get clothes reflecting their preferences. The sketch design recognition approach consists of a composite description model, a sketch recognition method and a database. First, a composite description model based on the knowledge of fashion design is developed to describe the characteristics of a skirt. Second, a sketch recognition method is used to help laypersons get satisfactory clothes. Third, a database in constructed to record general elements of skirts. Moreover, an interactive genetic algorithm (IGA) is used to accelerate the sketch recognition process. The experimental results demonstrate that the proposed method can 'recognize' users' preferred styles efficiently. The subjective evaluation has shown that the system can help general consumers without any fashion design or sketch training to create their own designs.

scholarly journals Embedded QR Code Intelligent Recognition Platform Based on Team Progress Algorithm

2016 ◽  
Vol 12 (02) ◽  
pp. 46
Author(s):  
Yuehong Wu
Keyword(s):  
Genetic Algorithm ◽  
General Condition ◽  
Recognition System ◽  
Experimental Results ◽  
Qr Code ◽  
Graphic Display ◽  
Acquisition Process ◽  
Mixed Programming ◽  
Intelligent Recognition ◽  
The Impact

In general condition, QR code often encounters uneven illumination, complex background, contamination and deformation for the reason of the impact on the image acquisition process to make that it is difficult to identify to them in later period and to compare with the recognition results of OR code in the team progress algorithm and genetic algorithm. After that, QR code recognition platform is established to achieve the powerful image and graphic display processing function and to save Visual C++ coding time by using the team genetic algorithm and mixed programming of Matlab and Visual C++ in the article. The experimental results demonstrate the validity of QR code decoding algorithm proposed in the article and the experimental results also demonstrate the feasibility of the design scheme of the embedded QR code recognition system platform proposed in the article.

Research on Design of Free Combat Attack and Defense Action Based on Wireless Sensor Motion Recognition

2014 ◽  
Vol 602-605 ◽  
pp. 2075-2078 ◽  
Author(s):  
Nai Wang
Keyword(s):  
Genetic Algorithm ◽  
Target Recognition ◽  
Path Loss ◽  
Recognition System ◽  
Wireless Sensor ◽  
Recognition Method ◽  
Continuous Action ◽  
Movement Recognition ◽  
Recognition Function ◽  
Attack And Defense

This paper introduces genetic algorithm in sensor path loss model, improves the target recognition function of sensor, and obtains the sensor target recognition method with relatively high resolution. We use MATLAB software, M function and genetic algorithm toolbox of MATLAB to design the algorithm, and apply sensor target recognition method in the identification of free combat action, and design the free combat movement recognition system based on wireless sensor. In order to verify the effectiveness and reliability of the system, this paper recognizes a set of continuous and rapid transformation of free combat movement, and obtains the curve of action recognition number changing with time, and the continuous action is displayed in the form of visualization. It provides the technical reference for the design of the free combat movement.

scholarly journals Fault Diagnosis of Car Engine by Using a Novel GA-Based Extension Recognition Method

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Meng-Hui Wang ◽  
Pi-Chu Wu
Keyword(s):  
Genetic Algorithm ◽  
Fault Diagnosis ◽  
Experimental Results ◽  
Classification Methods ◽  
Recognition Method ◽  
Important Work ◽  
Industrial Apparatus ◽  
Fault Recognition ◽  
Traditional Classification ◽  
Hidden Fault

Due to the passenger’s security, the recognized hidden faults in car engines are the most important work for a maintenance engineer, so they can regulate the engines to be safe and improve the reliability of automobile systems. In this paper, we will present a novel fault recognition method based on the genetic algorithm (GA) and the extension theory and also apply this method to the fault recognition of a practical car engine. The proposed recognition method has been tested on the Nissan Cefiro 2.0 engine and has also been compared to other traditional classification methods. Experimental results are of great effect regarding the hidden fault recognition of car engines, and the proposed method can also be applied to other industrial apparatus.

Perceptive Exploration of Layout Designs Using an Interactive Genetic Algorithm

2012 ◽  
Author(s):  
Julien Bénabès ◽  
Emilie Poirson ◽  
Fouad Bennis ◽  
Yannick Ravaut
Keyword(s):  
Genetic Algorithm ◽  
Optimization Algorithm ◽  
Optimization Problem ◽  
Subjective Evaluation ◽  
Performance Criteria ◽  
Final Decision ◽  
Complex Task ◽  
Optimal Layout ◽  
Interactive Genetic Algorithm ◽  
Qualitative Performance

Layout design optimization has a significant impact in the design and use of many engineering products and systems, such as the subdivision of a ship, the layout of facilities in a plant or further still the assembly of parts of a mechanism. The search for an optimal layout configuration is a critical and complex task due to the increasing demands of designers working on varied projects. A layout optimization process is generally divided into different steps: the description, formulation and solving of the problem and the final decision. This process consists in writing an optimization problem that transform designer’s requirements into variables, constraints and objectives. Then, an optimization algorithm has to be used in order to search for optimal solutions that fit with product’s specifications. This paper focuses on the last step which consists, for the designer, in making a choice on the solutions generated by the optimization algorithm. This choice is made according to the global performances of the designs and also the personal judgment of the designer. This judgment is based on the expertise of the designer and the subjective requirements that could not be integrated on the formulation of the problem. This paper proposes a perceptive exploration method, based on an Interactive Genetic Algorithm (IGA), used to explore designs, taking into account the subjective evaluation of the designer. The objective of this method is to select an ideal solution that realizes the best trade-off between the quantitative and qualitative performance criteria. This interactive process is tested on an industrial layout application which deals with the search for an optimal layout of facilities in a shelter.

Music Melodies Suited to Multiple Users' Feelings Composed by Asynchronous Distributed Interactive Genetic Algorithm

2018 ◽  
Vol 6 (2) ◽  
pp. 26-36 ◽  
Author(s):  
Kota Nomura ◽  
Makoto Fukumoto
Keyword(s):  
Genetic Algorithm ◽  
Experimental Results ◽  
Experimental Conditions ◽  
Interactive Genetic Algorithm ◽  
Multiple Users

This article aims to compose music melody suited for multiple users' feelings by employing parallel Distributed Interactive Genetic Algorithm (DIGA). In the DIGA, each user proceeds into a general Interactive Genetic Algorithm (IGA) process by evaluating solution candidates subjectively. In some generations, individuals in IGA are exchanged between the users. With the exchange, each of the users is affected by other users' feelings. As a result, obtaining good solutions suited for all users is expected. The authors conducted listening experiments for investigating the efficiency of the DIGA for composition of a music melody. Two experimental conditions with and without the exchange were employed. Ten people participated in the experiment as subjects, and were paired for the IGA task. The experimental results showed that a higher fitness was obtained in the final generation and similar melodies were obtained with the exchange.

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