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open access

Sizing for the apparel industry using statistical analysis - a Brazilian case study

Description: Presented at the 2017 World Textile Conference. This paper presents results from a study of the body measurements of Brazilian women using the Kinect Body Imaging system for 3D body scanning to understand the need for accurate measurements in the apparel industry.
Date: May 2017
Creator: Capelassi, C. H.; Carvalho, M. A.; Kattel, C. El & Xu, Bugao
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Impacts of sustainable value and business stewardship on lifestyle practices in clothing consumption

Description: This article tests the sustainable Values and Lifestyles Scale (VALS) framework by identifying the sustainable value and lifestyle practices, and examining the impacts of business stewardship on consumer sustainable practices.
Date: October 26, 2015
Creator: Hyun-Nam Lee, Stacy; Kim, Haejung & Yang, Kiseol
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Generation Y consumers' value perceptions toward apparel mobile advertising: functions of modality and culture

Description: This article investigates Generation Y consumers' different value perceptions toward apprel mobile advertising according to cultures (i.e. The United States vs. South Korean) and modalities (short message service vs. multimedia messaging service).
Date: April 1, 2012
Creator: Koo, Wanmo; Knight, Dee K.; Yang, Kiseol & Zheng, Xiang
Partner: UNT College of Merchandising, Hospitality and Tourism

Integrative Learning Approach

Description: This poster reports on using an integrative learning approach that incorporates various pedagogical styles such as problem-based learning, experiential learning, social learning theory, and cooperative learning to help students learn.
Date: April 12, 2013
Creator: Pookulangara, Sanjukta
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Hybrid Human-Artificial Intelligence Approach for Pavement Distress Assessment (PICUCHA)

Description: This article proposes a new method named PICture Unsupervised Classification with Human Analysis (PICUCHA) to circumvent many of the limitations of existing approaches, based on a combination of human and artificial intelligence.
Date: July 2017
Creator: Salini, Reus; Xu, Bugao & Carvalho, Regis
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Pavement Distress Detection with PICUCHA Methodology for Area-Scan Cameras and Dark Images

Description: This article discusses the test of the PICture Unsupervised Classification with Human Analysis (PICUCHA) performance with images taken with area-scan cameras and flash light illumination over a pavement with dark textures.
Date: April 2017
Creator: Salini, Reus; Xu, Bugao & Paplauskas, Paulius
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Impact of Image Resolution Pavement Distress Detection Using PICUCHA Methodology

Description: This article describes a study focused on the analysis of a newly-developed pavement distress classification algorithm, called the PICture Unsupervised Classification with Human Analysis (PICUCHA) method, particularly the impact of image resolutions on its classification accuracy.
Date: December 2016
Creator: Salini, Reus; Xu, Bugao & Souliman, Mena
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Anthropometric data collection of Portuguese children using 3D body scanning: considerations about the scanning booth

Description: Presented at the 2017 World Textile Conference. This paper presents some considerations regarding the scanning booth used in an anthropometric study done with a 3D body scanning technology.
Date: May 2017
Creator: de Campos, R.; Carvalho, M. A.; Lopes, H. P. & Xu, Bugao
Partner: UNT College of Merchandising, Hospitality and Tourism
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