Global communication part 1: the use of apparel CAD technology

Trends needed for improved communication systems, through the development of future computer-aided design technology (CAD) applications, is a theme that has received attention due to its perceived benefits in improving global supply chain efficiencies. This article discusses the developments of both 2D and 3D computer-aided design capabilities, found within global fashion supply chain relationships and environments. Major characteristics identified within the data suggest that CAD/CAM technology appears to be improving; however, evidence also suggest a plateau effect, which is accrediting forced profits towards information technology manufactures, and arguably compromising the industry's competitive advantage. Nevertheless, 2D CAD increases communication speed; whereas 3D human interaction technology is seen to be evolving slowly and questionably with limited success. The article discusses the findings and also presents the issues regarding human interaction; technology education; and individual communication enhancements using technology processes. These are still prevalent topics for the future developments of global strategy and cultural communication amalgamation

Evaluating the Benefits of Computer Aided-Design (CAD) in Fashion Education, the Case of Accra Polytechnic

The main purpose of this research was to evaluate the introduction and use of Computer-Aided Designing (CAD) in Fashion Education in Accra Polytechnic over a three - year period (2009-2012). It was revealed that some level of CAD has been inculcated into Fashion Education in the institution in the three specializations (Fashion production, Textiles and Fashion design) as they use the softwares available to draw garments, developing motifs for textiles prints and also to draw human figures. However, there were some challenges confronting the department and the students as well, some of which include insufficient computers and the requisite software equipment. It was recommended, that a CAD Resource Centre for Fashion Education should be set up in Accra with a state-of-the-art hard and software which will provide a suitable environment for teaching and learning for the training of Fashion Design and Textiles students. Also, CAD should be introduced early so that it will motivate students to search for and learn the commands that allow for actions and operations in CAD to enhance creativity and innovation. Keywords: Computer Aided Design (CAD), Skills, Nuffi

KUE-online - a data-management-system supporting the handling of design exercises

This contribution shows a way to introduce topics like CAD (Computer Aided Design) and EDM/PDM (Engineering/Product Data Management) into the lecture courses within the framework of the studies of Production Engineering at the Saarland University in Germany a very practical fashion. The students have the possibility to transfer digital documents of their design exercise solutions online using the Internet-portal of the supervising institute

Computer Aided Grid Interface: An Interactive CFD Pre-Processor

NASA maintains an applications oriented computational fluid dynamics (CFD) efforts complementary to and in support of the aerodynamic-propulsion design and test activities. This is especially true at NASA/MSFC where the goal is to advance and optimize present and future liquid-fueled rocket engines. Numerical grid generation plays a significant role in the fluid flow simulations utilizing CFD. An overall goal of the current project was to develop a geometry-grid generation tool that will help engineers, scientists and CFD practitioners to analyze design problems involving complex geometries in a timely fashion. This goal is accomplished by developing the Computer Aided Grid Interface system (CAGI). The CAGI system is developed by integrating CAD/CAM (Computer Aided Design/Computer Aided Manufacturing) geometric system output and / or Initial Graphics Exchange Specification (IGES) files (including all the NASA-IGES entities), geometry manipulations and generations associated with grid constructions, and robust grid generation methodologies. This report describes the development process of the CAGI system

Updating an introductory class on a Computer Aided Design course as this software pertains to fashion

Project Scope: Updating an introductory class on a Computer Aided Design course as this software pertains to fashion Project Scope: To identify OER materials for FTT faculty to use in their courses and locate materials specifically for use in the introduction to Fashion technology class. Use these resources to update a beginning fashion class in computer technology. Project goals: Source Open Educational Resources for the faculty to use in their classes. Which allows students to work on independently – Microsoft Word, Excel and PPT. Also Adobe CS. Investigate Lynda.com - https://rite.buffalostate.edu/nypl-benefits.html Using the objectives of the course FTT 208, implement one new lesson on the use of Adobe CS, specific to fashion, which will be delivered in fall 2017. Differentiate consumer target markets including cultural aspects and how each market influences the design process and merchandising strategies. Demonstrate an introductory understanding and hands on experience with how the elements and principles of design can affect the aesthetic and marketability of an end product. Demonstrate introductory raster digital skills via standard off the shelf software to create and illustrate custom fabric patterns

Microspace Transmorpho

This dress is inspired from the space transformation in the interaction views of fashion design and architecture, areas for creating spaces micro- and macro- spaces for human. The multidisciplinary approaches of fabrication techniques and materials were applied to visualize such as 3D printing, computer-aided design (CAD) software, laser cutting, thermoplastic, acrylic, and patternmaking for transformable design. Garments are the closest objects that contact our skin or surround our body

Exploring the Abilities of 3D Printing and its Viability for Consumption in the Fashion Industry

Abstract With the ever-evolving state of today’s technology, designers and retailers in the apparel industry are seeking out new technological methods that have the capacity to revolutionize and individualize their brand, as well as meet consumer needs and preferences. An emerging technology is 3D printing, which utilizes computer-aided technology and a variety of filaments to construct an object. Though 3D printing technology offers the ability for rapid prototyping, a condensed supply chain, and a sustainable additive manufacturing process, there is question as to whether or not consumers are ready for 3D printed clothing to enter their wardrobes. In this creative study, the authors designed a 3D printed garment in order to test whether 3D printers could be used to make wearable clothing of similar characteristics to clothing typically made of fabric. A survey was then conducted on the University of Arkansas campus to measure consumer response to the project garment. Three primary factors were measured: prior exposure and interest in 3D printing, general fashion interest, and aesthetic appeal of the project 3D printed garment. Overall perceptions of the project garment as well as further use of 3D printing for the apparel industry were positive. The ability of this study to create a fully 3D printed garment as well as understand consumer response to 3D printed clothing provides insight into this emerging technology. The results warrant further research into its capabilities for fashion and that the fashion industry could move towards adopting this technology on a wider scale in coming years. The results indicate that a major transformation in ready-to-wear style is feasible and beneficial to the apparel industry because of 3D printing. Keywords: 3D printing, fashion, consumer preference, sustainability, apparel, technolog

Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks

Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnostic procedure is based on the detection and recognition of the different ILD pathologies in thoracic CT scans, yet their manifestation often appears similar. In this study, we propose the use of a deep purely convolutional neural network for the semantic segmentation of ILD patterns, as the basic component of a computer aided diagnosis (CAD) system for ILDs. The proposed CNN, which consists of convolutional layers with dilated filters, takes as input a lung CT image of arbitrary size and outputs the corresponding label map. We trained and tested the network on a dataset of 172 sparsely annotated CT scans, within a cross-validation scheme. The training was performed in an end-to-end and semi-supervised fashion, utilizing both labeled and non-labeled image regions. The experimental results show significant performance improvement with respect to the state of the art

TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading

While microscopic analysis of histopathological slides is generally considered as the gold standard method for performing cancer diagnosis and grading, the current method for analysis is extremely time consuming and labour intensive as it requires pathologists to visually inspect tissue samples in a detailed fashion for the presence of cancer. As such, there has been significant recent interest in computer aided diagnosis systems for analysing histopathological slides for cancer grading to aid pathologists to perform cancer diagnosis and grading in a more efficient, accurate, and consistent manner. In this work, we investigate and explore a deep triple-stream residual network (TriResNet) architecture for the purpose of tile-level histopathology grading, which is the critical first step to computer-aided whole-slide histopathology grading. In particular, the design mentality behind the proposed TriResNet network architecture is to facilitate for the learning of a more diverse set of quantitative features to better characterize the complex tissue characteristics found in histopathology samples. Experimental results on two widely-used computer-aided histopathology benchmark datasets (CAMELYON16 dataset and Invasive Ductal Carcinoma (IDC) dataset) demonstrated that the proposed TriResNet network architecture was able to achieve noticeably improved accuracies when compared with two other state-of-the-art deep convolutional neural network architectures. Based on these promising results, the hope is that the proposed TriResNet network architecture could become a useful tool to aiding pathologists increase the consistency, speed, and accuracy of the histopathology grading process.Comment: 9 page