Category Archives: Fashion Design

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Narrowband Application in Intelligent Fire Protection System

 

Application of NB-IoT in Intelligent Fire Protection System

Tianxiang Li and Ping Hou

School of Information and Communication, Guilin University of Electronic Technology, Guilin, China

NB-IoT refers to a cellular-based narrowband Internet of Things, which has become an important part of the Internet of Things. NB-IoT is a new technology emerging in the field of Internet of Things in recent years. It has obvious advantages in technology and application. In addition, the application of narrowband Internet of Things (NB-IoT) technology in the field of fire protection can fundamentally enhance the combat capability of fire fighting forces, avoid fire and reduce the loss of life and property of the people. This thesis analyses and introduces an intelligent fire-fighting system based on the new industry standard, and a smoke-fire detection and alarm device based on the Internet of Things (IoT) platform and Nb-IoT technology. It also puts forward corresponding solutions to the problem of smart smoke, such as the value, advantages and future expectations of the solution.

 

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Fire Alarm & Signaling Code

Wayback: Feeling Groovy

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Transilvania Fashion Festival

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What Are People Wearing in the UK?

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Leveraging User-Provided Noisy Labels for Fashion Understanding

臺科大 國立臺灣科技大學

 

From Street Photos to Fashion Trends: Leveraging User-Provided Noisy Labels for Fashion Understanding

Fu-Hsien Huang –  Hsin-Min Lu –   Yao-Wen Hsu

Abstract: There is increased interest in using street photos to understand fashion trends. Though street photos usually contain rich clothing information, there are several technical challenges to their analysis. First, street photos collected from social media sites often contain user-provided noisy labels, and training models using these labels may deteriorate prediction performance. Second, most existing methods predict multiple clothing attributes individually and do not consider the potential to share knowledge between related tasks. In addition to these technical challenges, most fashion image datasets created by previous studies focus on American and European fashion styles. To address these technical challenges and understand fashion trends in Asia, we created RichWear, a new street fashion dataset containing 322,198 images with various text labels for fashion analysis. This dataset, collected from an Asian social network site, focuses on street styles in Japan and other Asian areas. RichWear provides a subset of expert-verified labels in addition to user-provided noisy labels for model training and evaluation. We propose the Fashion Attributes Recognition Network (FARNet) based on the multi-task learning framework to improve fashion recognition. Instead of predicting each clothing attribute individually, FARNet predicts three types of attributes simultaneously, and, once trained, this network leverages the noisy labels and generates corrected labels based on the input images. Experimental results show that this approach significantly outperforms existing methods. Applying the trained model to the RichWear dataset, we report Asian fashion trends and street styles based on predicted labels and image clusters from latent feature vectors.

 

 

Textile Standards

ASTM’s textile standards provide the specifications and test methods for the physical, mechanical, and chemical properties of textiles, fabrics, and cloths, as well as the natural and artificial fibers that constitute them. The textiles covered by these standards are commonly formed by weaving, knitting, or spinning together fibers such as glass fiber strands, wool and other animal fibers, cotton and other plant-derived fibers, yarn, sewing threads, and mohair, to name a few. These textile standards help fabric and cloth designers and manufacturers in testing textiles to ensure acceptable characteristics towards proper end-use.

 

https://www.astm.org/Standards/textile-standards.html

 

Consumer discretionary sector is usually the top economic sector in every nation and is the crucible for civilization itself.   More than energy or transportation or finance.  Best practice is discovered through upward moving price signals more than downward moving government regulations.  Because fashion defines a civilization; and civilization should be the proper business of education communities we track action in the technical specifics of the product standards thrown off by an SDO with one of the largest footprints in the global standards system.

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