A Scenario Analysis of Wearable Interface Technology Foresight

Although the importance and value of wearable interface have gradually being realized, wearable interface related technologies and the priority of adopting these technologies have so far not been clearly recognized. To fill this gap, this paper focuses on the technology planning strategy of organizations that have an interest in developing or adopting wearable interface related technologies. Based on the scenario analysis approach, a technology planning strategy is proposed. In this analysis, thirty wearable interface technologies are classified into six categories, and the importance and risk factors of these categories are then evaluated under two possible scenarios. The main research findings include the discovery that most brain based wearable interface technologies are rated high to medium importance and high risk in all scenarios, and that scenario changes will have less impact on voice based as well as gesture based wearable interface technologies. These results provide a reference for organizations and vendors interested in adopting or developing wearable interface technologies

The Impact Of Internet Of Things Technologies On Supply Chain Performance: The Mediating Role Of Competitive

Recent advancement of Internet of Things (IoT) technologies has invoked tremendous attention from both academics and industries. The emerging IoT technologies not only serve as possible new tools for enterprise operation, but also trigger impacts in the management arena such as supply chain management (SCM). This study investigates the role of competitive strategy underlying the link between IoT technologies and supply chain performance. By referring to the resource→strategy→performance model, this study builds a research framework in which three strategic positions of firms— low cost, differentiation and market focus—mediate the effect of IoT technologies on supply chain performance. Empirical survey and analysis of enterprise data are conducted to test the hypotheses. The test results support the mediation effects of competitive strategies. Research contributions and managerial implications are elaborated in the conclusions

THE EFFECTS OF WHOLE-BODY VIBRATION TRAINING ON DECUPLE JUMP PERFORMANCE IN HANDBALL ATHLETES

To evaluate the effects of whole-body vibration training (WBVT) on decuple jump performance in handball athletes. Sixteen collegiate Level I handball athletes volunteered and divided equally as control group and experimental group (EG). All athletes underwent the same handball specific training, but the EG received additional WBVT (amplitude: 2 mm, frequency: 20 - 40 Hz) three time per week for eight weeks. The decuple jump (DJ) performance was evaluated by the total distance covered in ten single leg long jumps. Single factor ANCOVA was used to examine the differences in each parameter between the groups after training with the pretest values as a covariate. The statistic significance was set at p < .05. Results showed that after 8 weeks WBVT, the EG had significantly improved the total distance of DJ (25.03 ± 1.83 m vs. 26.26 ± 1.65 m, F = 5.45, p < .05). It is concluded that 8 weeks of additional WBVT could improve the decuple jump performance in handball athletes

A COMPARISON OF BALANCE CONTROL BETWEEN JAVELIN THROWERS AND BASEBALL PITCHERS

This study evaluated the balance control in javelin throwers and baseball pitchers. Twenty-four athletes took part in the study and for each we measured their static and dynamic balance by Biodex Balance System, AMTl AccuSway force plate and Y balance test. The paired t-test was conducted to compare all the variables within subjects. The independent t-test was used to compare trail leg (TL) of baseball pitchers with propulsive leg (PL) of javelin throwers and stride leg (SL) of baseball pitchers with braking leg (BL) of javelin throwers. The results showed that there was no difference between the PL and BL in dynamic and static balance in javelin throwers. However, the dynamic balance in the TL was significantly better than the SL in baseball pitchers. The static balance in the PL in javelin throwers was also better than the TL in baseball pitchers. The research improves the understanding of balance control in elite athletes

EFFECTS OF EIGHT-WEEK WHOLE-BODY VIBRATION TRAINING ON POSTURAL STABILITY IN ELDERLY ADULTS

The aim of this study was to examine the effects of an eight-week whole-body vibration training (WBVT) on postural stability (PS) in elderly people. Twenty-two elderly people with normal ability of movement were randomized into the WBVT group (WBVTG, 13 elders), and the control group (CG, 9 elders). The WBVTG underwent WBV training for 8 weeks. The CG did not take any physical training. The PS performance was evaluated by the Biodex Balance System to measure the overall (O), anterior-posterior (AP), and medial-lateral (ML) stability at level 2 (unstable) and level 8 (stable). One-way ANCOVA were used for statistical analysis, with &#61537;=0.05. Results showed that after training, the WBVG significantly improved the O, AP, and ML stability performance at level 2, and also the O and ML stability performance at level 8

Scalable Content-Based Analysis of Images in Web Archives with TensorFlow and the Archives Unleashed Toolkit

We demonstrate the integration of the Archives Unleashed Toolkit, a scalable platform for exploring web archives, with Google's TensorFlow deep learning toolkit to provide scholars with content-based image analysis capabilities. By applying pretrained deep neural networks for object detection, we are able to extract images of common objects from a 4TB web archive of GeoCities, which we then compile into browsable collages. This case study illustrates the types of interesting analyses enabled by combining big data and deep learning capabilities.This work was primarily supported by the Natural Sciences and Engineering Research Council of Canada. Additional funding for this project has come from the Andrew W. Mellon Foundation. Our sincerest thanks to the Internet Archive for providing us with the GeoCities web archive