scholarly journals Fusion Mode and Style Based on Artificial Intelligence and Clothing Design

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jiali Qiu ◽  
Lianghua Ma
Keyword(s):  
Artificial Intelligence ◽  
Three Dimensional ◽  
Intelligent Manufacturing ◽  
Industrial Robots ◽  
Design System ◽  
Design Elements ◽  
Advantages And Disadvantages ◽  
Clothing Design ◽  
The Right ◽  
Intelligent Clothing

With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clothing design and the case analysis of intelligent clothing design are described using the method of comparative experiment. The experimental results are obtained from the analysis of fuzzy number of clothing design language evaluation, three-dimensional human body construction clothing size, clothing design elements and auxiliary functions, and the analysis of the advantages and disadvantages of clothing design system. The popular clothing sample is D4 (0.4862), which is 20% higher than other products. It can be concluded that the model proposed in this article can grasp the needs of consumers and select the right one according to the market positioning. The fabric mass production fashion brand can significantly improve the efficiency and satisfaction of the fabric selection decision-making process. It provides enough technical support and style model for intelligent clothing design.

scholarly journals Application of Sensors in Intelligent Clothing Design

2018 ◽  
Vol 14 (06) ◽  
pp. 4
Author(s):  
Shali Jiang ◽  
Qiong Ren
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Experimental Results ◽  
Machine Learning Method ◽  
Learning Method ◽  
Clothing Design ◽  
Artificial Intelligence Technology ◽  
Contact Sensor ◽  
Intelligent Clothing ◽  
Contact Sensors

<p class="0abstract"><span lang="EN-US">In order to study the application of sensors in intelligent clothing design, the artificially intelligent cutting-edge technology -machine learning method was proposed to combine a variety of signals of non-contact sensors in several different positions. Higher accuracy was achieved, while maintaining the comfort brought by a non-contact sensor. The experimental results showed that the proposed strategy focused on the combination of clothing design technology and artificial intelligence technology. As a result, without changing the sensor materials, it enhances the comfort and precision of clothing, eliminates the comfort reduced by sensor close to the skin, and transforms inaccurate measurement into accurate measurement. </span></p>

The Research on Key Technology of Virtual Clothing Design System

2014 ◽  
Vol 687-691 ◽  
pp. 4898-4901
Author(s):  
Xue Hua Leng
Keyword(s):  
Computer Technology ◽  
Three Dimensional ◽  
Electronic System ◽  
Design System ◽  
Network Technology ◽  
Clothing Design ◽  
Apparel Production ◽  
Production Body ◽  
The Aesthetic ◽  
Design Style

With the development of computer technology and network technology, people want to design clothing which meets the aesthetic personal requirements through more convenient and more efficient computer technology. At the beginning of 21st century, customized electronic system came into being, it organically combined the human modeling in clothing production, body analysis, all aspects of the anthropometric fashion design, style selection, ordering clothing, apparel production by using the modern three-dimensional body scanning technology, computer technology and network technology to achieve effective and efficient digital garment production.

scholarly journals Application of Gabor Image Recognition Technology in Intelligent Clothing Design

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Sujuan Qiao
Keyword(s):  
Feature Extraction ◽  
Image Feature ◽  
Design System ◽  
Clothing Design ◽  
Time Performance ◽  
Extraction Algorithm ◽  
Calculation Process ◽  
Gabor Feature ◽  
Gabor Feature Extraction ◽  
Intelligent Clothing

Aiming at the complex problem of image recognition feature extraction, this paper proposes an intelligent clothing design model based on parallel Gabor image feature extraction algorithm. Based on the intelligent parallel mode, the algorithm decomposes and merges the calculation process of the image Gabor transformation, decomposes the entire image Gabor feature extraction calculation process into a parallel part and a nonparallel part, and accelerates the parallel part by using multiple cores. The calculation results are then combined to achieve the purpose of multicore parallel acceleration of the entire calculation process. Secondly, based on the consideration of improving the real-time performance of the intelligent clothing design system, combined with the existing multicore environment, this paper uses the intelligent model to design and implement the image parallel Gabor feature extraction algorithm and uses image processing and analysis technology to analyze the visual elements of traditional clothing and identify and quantify to form a relatively complete clothing visual element evaluation system, which provides a basis for large-scale collection and automated evaluation of clothing visual effects, as well as clothing trend tracking and prediction. Experiments show that the algorithm can effectively shorten the calculation time of Gabor image feature extraction and can obtain a good speedup in a multicore environment. At the same time, it combines with a multiscale intelligent clothing classification algorithm, on the basis of the VS2008 platform, combined with OpenCV 2.0, designed and implemented an intelligent clothing design system, and conducted experiments and system tests. The experimental results show that the algorithm given in this paper can accurately segment fabric defects from the background, which proves that the detection algorithm has a good detection effect. Simulation results show that the algorithm proposed in this paper can more accurately identify the state of clothing features, and the real-time performance of intelligent clothing design in a multicore environment has been improved to a certain extent.

scholarly journals Perceptual design method for smart industrial robots based on virtual reality and synchronous quantitative physiological signals

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091764
Author(s):  
Wangqun Xiao ◽  
Jianxin Cheng
Keyword(s):  
Virtual Reality ◽  
Design Method ◽  
Industrial Robot ◽  
Three Dimensional ◽  
Industrial Robots ◽  
Physiological Signals ◽  
Robot Design ◽  
Type I ◽  
Design Elements ◽  
Three Dimensional Modeling

In the research of industrial robot design, designing using only the perceptual thinking and creativity of an industrial designer or overemphasizing the intervention of quantitative data research in the field of emotional cognition is relatively one sided. In this article, research on how to combine the above two aspects effectively will be conducted. The aim is to present a design method which provides artistic creativity and scientific support for industrial robot design. Therefore, a method for representing perceptual image spaces of industrial robots through pictures and semantics by evaluating the perceptual images and using statistical approaches such as factor analysis will be proposed. Perceptual design elements of industrial robots are decomposed from the perspective of style and color. After the quantitative type I analysis, the numerical relationships between the semantics of images and design elements are identified. Also, a method for mapping relationships between the perceptual image spaces and design elements of industrial robots is developed. After three-dimensional modeling and simulation, the semantic difference methods are used in combination with the emotional evaluation and measurement methods for physiological experiments such as eye tracking, skin conductance, heart rate, and electroencephalography experiments with the aid of virtual reality. Finally, a perceptual design method is extracted for smart industrial robots based on virtual reality and synchronous quantitative physiological signals.

A Comparative Study of Novel Permanent Magnet Arc Guideway Motors Based on Three-Dimensional Electromagnetic Field Analysis

2013 ◽  
Vol 462-463 ◽  
pp. 739-745
Author(s):  
Kun Wang ◽  
Gong Zhang ◽  
Ying Pin Wang ◽  
Xue Feng Zhou ◽  
Xian Shuai Chen ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
Electromagnetic Force ◽  
High Efficiency ◽  
Deflection Angle ◽  
Three Dimensional ◽  
Field Analysis ◽  
Reciprocating Motion ◽  
Advantages And Disadvantages ◽  
The Right ◽  
Full Swing

A novel PM arc guideway motor (PMAGM) is developed due to the drawback of the conventional motor reciprocating within certain angle. The PMAGM can directly drive load to make reciprocating motion within a limited angle with advantages of simplification, reliability, high efficiency, etc.. Aiming at the permanent magnet (PM) magnetization and solenoid coil electrifying modes, the PM deflection angle is parameterized and the influence on electromagnetic force has been analyzed between different magnetization and electrifying modes. Results show that electromagnetic force in Y direction magnetized along the external field force lines at proposal 1 is 51.23% higher than that of vertical magnetization, and the electromagnetic resultant force increases by 45.91%. As the angle of the PM deflection within 3o, the electromagnetic force in X direction points to the right, which is not good for PM slidable assembly swing. Based on comprehensive analysis of the advantages and disadvantages of several electrifying modes, the electricity combination under full swing angle is optimized.

INTELLIGENCE CONTROL ARCHITECTURE OVERVIEW BASED ON UTILITY AND BEHAVIOR TREE

2021 ◽  
pp. 36-41
Author(s):  
А.К. Донских ◽  
В.Ф. Барабанов ◽  
Н.И. Гребенникова ◽  
М.А. Белых
Keyword(s):  
Artificial Intelligence ◽  
Visual Design ◽  
Design System ◽  
Control Architecture ◽  
Advantages And Disadvantages ◽  
Behavior Tree ◽  
Data Source ◽  
Design Systems ◽  
And Performance ◽  
And Behavior

Проектирование искусственного интеллекта (ИИ) является необходимым процессом в разработке практически любой интерактивной системы моделирования. Если системы проектирования FSM или Behavior Tree не вызывают вопросов, то с Utility AI все сложнее. Предложено единое средство для проектирования как Behavior Tree, так и Utility-based AI. Предлагается вариант системы для проектирования как Behavior Tree AI, так и для Utility AI. Предложено несколько способов проектирования Utility AI (визуальное проектирование, текстовое описание, создание системы на языке программирования), представлены их преимущества и недостатки. Рассмотрен более предпочтительный вариант для разработчика - с визуальным проектированием - система Utility AI, состоящая из набора узлов: Data Source (DS), Scorer, Action. Отмечено, что за проектирование и работу ИИ отвечают две разные системы. Первая система проектирования является самой простой. Вторая, более важная и более сложная система, - это работающий в реальном времени контроллер. Рассмотрены упрощенные алгоритмы для контроллеров Behavior Tree и Utility AI. Использование контроллеров скажется положительным образом на повышении удобства и производительности дизайнера искусственного интеллекта Designing artificial intelligence (AI) is a necessary process in the development of practically any interactive modeling system. The FSM or Behavior Tree design systems do not cause questions but everything is more complicated with Utility AI. We propose a single means for designing both Behavior Tree and Utility-Based AI. The article proposes a version of the system for designing both Behavior Tree AI and Utility AI. We give several ways of designing Utility AI (visual design, text description, creating a system in programming language), we considered their advantages and disadvantages. We considered a more preferred option for the developer - with visual design - Utility AI system consisting of a set of nodes: DataSource (DS), Scorer, Action. It is noted that two different systems are responsible for the design and operation of AI. The first design system is the simplest. The second, more important and more complex system is a real-time controller. We considered simplified algorithms for Behavior Tree and Utility AI controllers. The use of controllers will affect a positive way to improve the convenience and performance of an artificial intelligence designer

Prinsip Estetika Pakaian Cosplay Yogyakarta: Fantasi dan Ekspresi Desain Masa Kini

Panggung ◽  
2014 ◽  
Vol 24 (1) ◽  
Author(s):  
Deni Setiawan ◽  
Timbul Haryono ◽  
M. Agus Burhan
Keyword(s):  
Design Principle ◽  
Point Of View ◽  
Japanese Culture ◽  
Dress Code ◽  
Design Elements ◽  
Social Communities ◽  
Organic Unity ◽  
Clothing Design ◽  
Digital World ◽  
Balance Principle

ABSTRACTCostume, dress code, animation, comics, legends, and manga, are inseparable parts of the cosplay costume. Those parts give fantasy and digital world discourse through costume style. Its spiritual domain stands on Japanese culture by being cultured through clothing. One of them, cosplay ideo- logy, reflects the self-imaging through social communities, as an e?ort for group and self-existence. Cosplay entity bridges fantasy and real world, presents designers’ expressions through the costume designs to show. This writing will be analyzed by using the main theories based on Dewitt H. Parker point of view, in The Principles of Aesthetics, which divides principles of aesthetics into three, they are: Principle of Organic Unity, Principle of Dominant Element, and Principle of Balance. Principle of organic unity indicates that cosplay clothing is an accumulation of design elements, to refer and mark a figure. Principle of dominant element, is accentuation, or the center of interest of a cosplay clothing design. Principle of balance, see placement and setting ornamentation applied to cosplay clothing.Keywords: cosplay clothing, principles of aesthetics, costume style, YogyakartaABSTRAKPakaian, dress code, animasi, dan manga, merupakan unsur yang tidak terpisahkan dalam pakaian cosplay. Unsur-unsur tersebut merupakan wacana dunia digital dan fantasi pada dunia pakaian. Ranah spiritualnya berp?ak pada kebudayaan Jepang yang dibudayakan melalui pakaian. Ideologi cosplay salah satunya menggambarkan pencitraan diri komuni- tas sosial, sebagai usaha untuk aktualisasi diri. Entitas cosplay mampu menjembatani du- nia fantasi dan realita, yang membelenggu keinginan manusia untuk bergaya. Tulisan ini akan dianalisis dengan teori pokok berdasarkan pandangan Dewitt H. Parker, dalam The Principles of Aesthetics, yang membagi prinsip estetika menjadi tiga, yaitu: prinsip kesatu- an organik, prinsip unsur dominan, dan prinsip keseimbangan. Prinsip kesatuan organik menunjukkan, bahwa pakaian cosplay merupakan akumulasi dari unsur-unsur desain, un- tuk merujuk dan menandai tokoh. Prinsip unsur dominan, merupakan aksentuasi, atau pusat perhatian dari sebuah desain pakaian cosplay. Prinsip keseimbangan, melihat penem- patan dan pengaturan ornamentasi yang diaplikasikan pada pakaian cosplay.Kata kunci: pakaian cosplay, prinsip estetika, gaya pakaian, Yogyakarta

Handheld Laser Scanner Research

2019 ◽  
Vol 952 (10) ◽  
pp. 47-54
Author(s):  
A.V. Komissarov ◽  
A.V. Remizov ◽  
M.M. Shlyakhova ◽  
K.K. Yambaev
Keyword(s):  
Point Cloud ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Test Site ◽  
Optical Systems ◽  
Advantages And Disadvantages ◽  
Site Survey ◽  
Laser Scanners ◽  
Three Dimensional Models ◽  
The Stability

The authors consider hand-held laser scanners, as a new photogrammetric tool for obtaining three-dimensional models of objects. The principle of their work and the newest optical systems based on various sensors measuring the depth of space are described in detail. The method of simultaneous navigation and mapping (SLAM) used for combining single scans into point cloud is outlined. The formulated tasks and methods for performing studies of the DotProduct (USA) hand-held laser scanner DPI?8X based on a test site survey are presented. The accuracy requirements for determining the coordinates of polygon points are given. The essence of the performed experimental research of the DPI?8X scanner is described, including scanning of a test object at various scanner distances, shooting a test polygon from various scanner positions and building point cloud, repeatedly shooting the same area of the polygon to check the stability of the scanner. The data on the assessment of accuracy and analysis of research results are given. Fields of applying hand-held laser scanners, their advantages and disadvantages are identified.

scholarly journals Right-sided Bochdalek hernia in an adult with hepatic malformation and intestinal malrotation

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Naoki Enomoto ◽  
Kazuhiko Yamada ◽  
Daiki Kato ◽  
Shusuke Yagi ◽  
Hitomi Wake ◽  
...  
Keyword(s):  
Elective Surgery ◽  
Abdominal Cavity ◽  
Three Dimensional ◽  
Simulation Software ◽  
3D Simulation ◽  
Diaphragmatic Defect ◽  
Intestinal Malrotation ◽  
Intestinal Loop ◽  
Bochdalek Hernia ◽  
The Right

Abstract Background Bochdalek hernia is a common congenital diaphragmatic defect that usually manifests with cardiopulmonary insufficiency in neonates. It is very rare in adults, and symptomatic cases are mostly left-sided. Diaphragmatic defects generally warrant immediate surgical intervention to reduce the risk of incarceration or strangulation of the displaced viscera. Case presentation A 47-year-old woman presented with dyspnea on exertion. Computed tomography revealed that a large part of the intestinal loop with superior mesenteric vessels and the right kidney were displaced into the right thoracic cavity. Preoperative three-dimensional (3D) simulation software visualized detailed anatomy of displaced viscera and the precise location and size of the diaphragmatic defect. She underwent elective surgery after concomitant pulmonary hypertension was stabilized preoperatively. The laparotomic approach was adopted. Malformation of the liver and the presence of intestinal malrotation were confirmed during the operation. The distal part of the duodenum, jejunum, ileum, colon, and right kidney were reduced into the abdominal cavity consecutively. A large-sized oval defect was closed with monofilament polypropylene mesh. No complications occurred postoperatively. Conclusion Symptomatic right-sided Bochdalek hernia in adults is exceedingly rare and is frequently accompanied by various visceral anomalies. Accurate diagnosis and appropriate surgical repair are crucial to prevent possible incarceration or strangulation. The preoperative 3D simulation provided comprehensive information on anatomy and concomitant anomalies and helped surgeons plan the operation meticulously and perform procedures safely.

scholarly journals Alteration within the Hippocampal Volume in Patients with LHON Disease—7 Tesla MRI Study

2020 ◽  
Vol 10 (1) ◽  
pp. 14
Author(s):  
Cezary Grochowski ◽  
Kamil Jonak ◽  
Marcin Maciejewski ◽  
Andrzej Stępniewski ◽  
Mansur Rahnama-Hezavah
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Molecular Layer ◽  
Three Dimensional ◽  
Hippocampal Volume ◽  
7 Tesla ◽  
Diagnostic Process ◽  
Resonance Imaging ◽  
The Right

Purpose: The aim of this study was to assess the volumetry of the hippocampus in the Leber’s hereditary optic neuropathy (LHON) of blind patients. Methods: A total of 25 patients with LHON were randomly included into the study from the national health database. A total of 15 patients were selected according to the inclusion criteria. The submillimeter segmentation of the hippocampus was based on three-dimensional spoiled gradient recalled acquisition in steady state (3D-SPGR) BRAVO 7T magnetic resonance imaging (MRI) protocol. Results: Statistical analysis revealed that compared to healthy controls (HC), LHON subjects had multiple significant differences only in the right hippocampus, including a significantly higher volume of hippocampal tail (p = 0.009), subiculum body (p = 0.018), CA1 body (p = 0.002), hippocampal fissure (p = 0.046), molecular layer hippocampus (HP) body (p = 0.014), CA3 body (p = 0.006), Granule Cell (GC) and Molecular Layer (ML) of the Dentate Gyrus (DG)–GC ML DG body (p = 0.003), CA4 body (p = 0.001), whole hippocampal body (p = 0.018), and the whole hippocampus volume (p = 0.023). Discussion: The ultra-high-field magnetic resonance imaging allowed hippocampus quality visualization and analysis, serving as a powerful in vivo diagnostic tool in the diagnostic process and LHON disease course assessment. The study confirmed previous reports regarding volumetry of hippocampus in blind individuals.

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