22,398 research outputs found

    End-of-life implications of electronic textiles - Assessment of a converging technology

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    Contemporary innovation in the converging technology sectors of electronics and textile aims at augmenting functionality of textiles, making them “smart”. That is, integrating electronic functions such as sensing, data processing, and networking into wearable products. Embedding electronic devices into textiles results in a novel category of products: electronic textiles (e-textiles). Whereas researchers and innovators are pushing forward technological development little attention has been paid to the end-of-life implications of such future products. E-textiles may not only entail promising business opportunities but also adverse environmental impacts. This study examines potential end-of-life implications, which could emerge once future e-textiles are disposed of. Using the methodological framework of technology assessment an overview of current innovation processes for e-textiles is established and an outlook on future applications areas is provided. Further, information on technologies and materials composition of e-textiles is mapped as a basis for assessing the prospective implications at the end of their useful life. The findings suggest that widespread application of e-textiles could result in the emergence of a new waste stream. There are various parallels to electronic waste, which causes profound environmental problems nowadays. Risks include potential release of toxic substances during the disposal phase. And, loss of scarce materials is to be expected if no recycling takes place. This would accelerate the depletion of resources. Recycling of textile integrated electronic devices will be difficult. From the analysis it can be deduced that today’s schemes for takeback, recycling and disposal would not be sufficient to cope with waste e-textiles in an environmentally benign manner. Instead, discarded e-textiles would find their way into solid waste and increase the existing environmental problems of waste disposal. The study concludes with recommendations for policy makers and technology developers on how a waste preventative technology design could be achieved

    Higher education stimulating creative enterprise

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    This report summarises the research undertaken by the Business & Community School at the University for the Creative Arts (UCA), analysing ways that higher ediucation (HEIs) can support, and indeed stimulate, the creative economy. The research, in collaboration with the Arts University College Bournemouth (AUCB) and the University of Winchester, serves as a mere snapshot of the numerous ways that Universities engage with the diverse industries under the 'creative' nomenclature and of the very real and poistive ways that the higher education sector contributes to the growth of the creative economy in thhe UK

    The influence of clothing on first impressions : Rapid and positive responses to minor changes in male attire

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    Clothing communicates information about the wearer and first impressions can be heavily influenced by the messages conveyed by attire. The purpose of this paper is to investigate the effect of minor changes in clothing on the perception of a male model, in the absence of facial information with limited time exposurePeer reviewe

    Designs on the Web: A case study of online learning for design students

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    The De Montfort University Electronic Campus initiative started in September 1999. Web‐based learning resources and support have been provided for over 3,000 students via a portfolio of thirty projects ranging across all levels of the university and within every faculty. This paper focuses on one aspect of this initiative: the development of online teaching and learning materials to support first‐year IT modules for students of art and design. An undergraduate module has been converted from traditional, face‐to‐face, delivery to a hybrid combination of Web‐based and studio‐based work in accordance with Laurillard's conversational framework. In the first year of use all the new material has been made available on a pilot basis to a group of 440 students in parallel with conventional lectures and seminars. All the students have had access to the online resources; some students have used them, but some have not. Data on student expectations collected prior to starting on the module are compared with student feedback gathered at the end of the module and student performance data across the two mode's of presentation are compared to establish the relative effectiveness of each approach. In addition the paper reviews the resource implications of developing, delivering and supporting online learning and discusses some of the barriers to implementation that were encountered and overcome

    Ghent University-Department of Textiles: annual report 2013

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    Patterns of Innovation in UK Industry: Exploring the CIS Data to Contrast High and Low Technology Industries.

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    This paper is divided into two parts. The first part is an examination of the OECD classification of industries into high, medium and low technology industries, to look at the basis for this classification and to use that as a benchmark with which to classify the Community Innovation Survey (CIS) data for the UK into similar groupings. The industries are ranked according to their research intensities and the rankings between the two datasets are compared. Some features of the UK rankings are highlighted and anomalies between the two datasets pointed out. The second part of the paper goes on to use the OECD classification into high, medium and low technology industries, applied to the CIS dataset, to contrast patterns of innovation in high technology industries with those in low technology industries. We build on the three types of innovation surveyed in the CIS, namely product, process and organisational innovation and contrast those types across high and low technology sectors. The expected relationship between high technology industries and product innovation holds - that enterprises tend to do more product innovation, the higher their research intensity. But process innovation does not conform to this pattern and there is not such a clear division between high and low technology industries. However the way they do process innovations differs with high technology industries more reliant on internal resources whereas lower technology industries tend to do it using external resources in collaboration with others. Organisational innovation is more complex, with certain types of innovation done as widely by lower technology industries as by the more research intensive industries. This supports the idea that all types of innovation should be considered, with the diffusion of ICTs making an impact across the technological spectrum of industries and showing up in various forms of organisational innovation

    Smart nanotextiles: materials and their application

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    Textiles are ubiquitous to us, enveloping our skin and surroundings. Not only do they provide a protective shield or act as a comforting cocoon but they also serve esthetic appeal and cultural importance. Recent technologies have allowed the traditional functionality of textiles to be extended. Advances in materials science have added intelligence to textiles and created ‘smart’ clothes. Smart textiles can sense and react to environmental conditions or stimuli, e.g., from mechanical, thermal, chemical, electrical, or magnetic sources (Lam Po Tang and Stylios 2006). Such textiles find uses in many applications ranging from military and security to personalized healthcare, hygiene, and entertainment. Smart textiles may be termed ‘‘passive’’ or ‘‘active.’’ A passive smart textile monitors the wearer’s physiology or the environment, e.g., a shirt with in-built thermistors to log body temperature over time. If actuators are integrated, the textile becomes an active, smart textile as it may respond to a particular stimulus, e.g., the temperature-aware shirt may automatically roll up the sleeves when body temperature rises. The fundamental components in any smart textile are sensors and actuators. Interconnections, power supply, and a control unit are also needed to complete the system. All these components must be integrated into textiles while still retaining the usual tactile, flexible, and comfortable properties that we expect from a textile. Adding new functionalities to textiles while still maintaining the look and feel of the fabric is where nanotechnology has a huge impact on the textile industry. This article describes current developments in materials for smart nanotextiles and some of the many applications where these innovative textiles are of great benefit

    Integrated quality and enhancement review : summative review : Cleveland College of Art and Design

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    Determinants of Export Performance of Pakistan: Evidence from the Firm-Level Data

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    This paper explores the determinants of export performance at the level of firms in respect of their characteristics and supply side constraints. The analysis is based on a survey of export-oriented firms in four major sectors. The results indicate a relationship between the better performance of foreign-owned firms to their better know-how and resources compared to the domestically owned firms. Export performance is positively affected by the level of investment in market/client oriented technologies. Lack of certification of product and process standards is the main supply side constraint adversely affecting the firms’ export performance. Facilitation measures like export processing zones, internationally recognised testing labs, and industrial clusters would be helpful in improving the export performance of firms.Trade, Exports, Firms, Performance, Manufacturing

    MOSAIC vision and scenarios for mobile collaborative work related to health and wellbeing

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    The main objective of the MOSAIC project is to accelerate innovation in Mobile Worker Support Environments by shaping future research and innovation activities in Europe. The modus operandi of MOSAIC is to develop visions and illustrative scenarios for future collaborative workspaces involving mobile and location-aware working. Analysis of the scenarios is input to the process of road mapping with the purpose of developing strategies for R&D leading to deployment of innovative mobile work technologies and applications across different domains. This paper relates to one specific domain, that of Health and Wellbeing. The focus is therefore is on mobile working environments which enable mobile collaborative working related to the domain of healthcare and wellbeing services for citizens. This paper reports the work of MOSAIC T2.2 on the vision and scenarios for mobile collaborative work related to this domain. This work was also an input to the activity of developing the MOSAIC roadmap for future research and development targeted at realization of the future Health and Wellbeing vision. The MOSAIC validation process for the Health and Wellbeing scenarios is described and one scenario – the Major Incident Scenario - is presented in detail
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