10,336 research outputs found

    Spartan Daily, November 29, 2000

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    Volume 115, Issue 60https://scholarworks.sjsu.edu/spartandaily/9627/thumbnail.jp

    Spartan Daily, April 22, 1997

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    Volume 108, Issue 56https://scholarworks.sjsu.edu/spartandaily/9131/thumbnail.jp

    Spartan Daily, April 22, 1997

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    Volume 108, Issue 56https://scholarworks.sjsu.edu/spartandaily/9131/thumbnail.jp

    Spartan Daily, April 22, 1997

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    Volume 108, Issue 56https://scholarworks.sjsu.edu/spartandaily/9131/thumbnail.jp

    The Cord Weekly (January 8, 1997)

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    E-Learning and gender

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    This study is to examine gender differences and the adoption of technology in tertial education students. We have used TAM model to measure the acceptance and use of elearning of the respondents. ANOVA and Partial Least Squares (PLS) was used, specifically, the PLS multi-group analysis, to compare differences between groups. In summary, results show that students’ behavior of acceptance of e-learning technology do not manifest statistically significant differences between women and men

    Clothing Classification Systems

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    The work deals with the systematic determination of clothing classification systems with corresponding definitions. This includes a general classification of clothing from an anthropological and engineering perspective. The anthropological aspect presents a classification based on fashion and anti-fashion, while the engineering aspect presents a classification based on functionality, which covers the logical types of fashion, functional clothing and high-tech clothing. This part contains both classifications and significant terminologies for individual types of clothing

    Clothing Classification Systems

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    The work deals with the systematic determination of clothing classification systems with corresponding definitions. This includes a general classification of clothing from an anthropological and engineering perspective. The anthropological aspect presents a classification based on fashion and anti-fashion, while the engineering aspect presents a classification based on functionality, which covers the logical types of fashion, functional clothing and high-tech clothing. This part contains both classifications and significant terminologies for individual types of clothing

    NASA Wearable Technology CLUSTER 2013-2014 Report

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    Wearable technology has the potential to revolutionize the way humans interact with one another, with information, and with the electronic systems that surround them. This change can already be seen in the dramatic increase in the availability and use of wearable health and activity monitors. These devices continuously monitor the wearer using on-body sensors and wireless communication. They provide feedback that can be used to improve physical health and performance. Smart watches and head mounted displays are also receiving a great deal of commercial attention, providing immediate access to information via graphical displays, as well as additional sensing features. For the purposes of the Wearable Technology CLUSTER, wearable technology is broadly defined as any electronic sensing, human interfaces, computing, or communication that is mounted on the body. Current commercially available wearable devices primarily house electronics in rigid packaging to provide protection from flexing, moisture, and other contaminants. NASA mentors are interested in this approach, but are also interested in direct integration of electronics into clothing to enable more comfortable systems. For human spaceflight, wearable technology holds a great deal of promise for significantly improving safety, efficiency, autonomy, and research capacity for the crew in space and support personnel on the ground. Specific capabilities of interest include: Continuous biomedical monitoring for research and detection of health problems. Environmental monitoring for individual exposure assessments and alarms. Activity monitoring for responsive robotics and environments. Multi-modal caution and warning using tactile, auditory, and visual alarms. Wireless, hands-free, on-demand voice communication. Mobile, on-demand access to space vehicle and robotic displays and controls. Many technical challenges must be overcome to realize these wearable technology applications. For example, to make a wearable device that is both functional and comfortable for long duration wear, developers must strive to reduce electronic mass and volume while also addressing constraints imposed by the body attachment method. Depending on the application, the device must be placed in a location that the user can see and reach, and that provides the appropriate access to air and the wearer's skin. Limited power is available from body-worn batteries and heat must be managed to prevent discomfort. If the clothing is to be washed, there are additional durability and washability hurdles that traditional electronics are not designed to address. Finally, each specific capability has unique technical challenges that will likely require unique solutions. In addition to the technical challenges, development of wearable devices is made more difficult by the diversity of skills required and the historic lack of collaboration across domains. Wearable technology development requires expertise in textiles engineering, apparel design, software and computer engineering, electronic design and manufacturing, human factors engineering, and application-specific fields such as acoustics, medical devices, and sensing. Knowledge from each of these domains must be integrated to create functional and comfortable devices. For this reason, the diversity of knowledge and experience represented in the Wearable Technology is critical to overcoming the fundamental challenges in the field
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