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The influence of web design elements on webpage usageWong, Kang-jung 19 January 2005 (has links)
This research uses two approaches, Kansei Engineering Modeling and Usability, to discuss how different web design elements of on-line radio influence the feelings and the usage of the web. This research also uses multidimensional method to demonstrate the relative relationship of the virtual websites built for this research, in order to understand the feelings and usage of the web sites in the unit of the whole website.
In the discussion of Kansei Engineering, ¡§clear¡¨, ¡§neat¡¨ and ¡§friendly¡¨ feelings were found in the websites with menu in the top and the left side of the webpage. As for listen-on-line icon, it is better that the icon stands outside the menu. In the perceptual map, which discusses the websites in whole, indicates the obviousness of the listen-on-line icon separate the 8 websites into two, meaning it¡¦s a good discriminant of online radio websites.
In the discussion of usability, ¡§activity and concert information¡¨ and ¡§the name of the song and the artist playing¡¨ are positive to the increment of learnability, efficiency, design quality, listening contentment, content variety and satisfaction as a whole. Independent listening window is positive to the increment of learnability and efficiency.
The perceptual map of the 8 websites of the usability study, ¡§activity and concert information¡¨ and ¡§the name of the song and the artist playing¡¨ are the most important discriminant, which can be used to increase the usability of on-line radio websites.
The findings of the research are only true under the circumstances that the assumption of linearity is being proved. Following research can try other statistical method in order to get results that are more accurate.
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The Gratification Niches of Traditional and Digital RadioShelline, Don G 01 March 2016 (has links)
We live in an age where science fiction is quickly becoming science fact. Dick Tracy's 2-way wrist TVs are Apple Watches. Automated smart homes are plentiful. Cars are now able to drive themselves. And in those cars, riders no longer need to depend on a deejay to choose their music for them; these listeners build their own radio stations, on the spot, out of any music and conversation they want to hear, all at the touch of a button that is fully connected to Wi-Fi, the internet, and unlimited cell data plans.This research will examine digital radio's impact upon traditional radio in the current media environment. It will first take a look at the history of radio, specifically examining radio's reaction and adaptation when a new form of competitive media moved into the mass communication environment, and how radio fared in the face of that competition. The research will then look at uses and gratifications for both traditional and digital radio, which will be analyzed using media niche theory. From this, we will ascertain the niche breadth of each medium, as well as how much overlap exists between the two, and finally, which medium achieves niche superiority over the other in terms of gratifications observed.
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The G305 star forming complex : a panoramic view of the environment and star formationHindson, Luke Paul January 2012 (has links)
This thesis presents molecular line and radio continuum observations of the giant molecular cloud (GMC) complex known as G305. The energy input from high-mass stars in the form of powerful winds and ionising radiation is one of the primary feedback mechanisms in GMCs. This feedback is thought to play a dual role both dispersing and destroying the natal environment but also sweeping up and compressing molecular gas and potentially triggering new episodes of star formation. Despite their importance to the evolution of GMCs and galaxies as a whole, the physical processes behind the formation and evolution of high-mass stars remains poorly understood. We therefore set out to obtain wide-field observations of the ionised and molecular environment to study the impact of high-mass stars on the evolution of G305. Observations conducted with the Mopra telescope of the molecular gas traced by NH3 in the (1,1), (2,2) and (3,3) transition and CO (12CO, 13CO and C18O J = 1–0) reveals the reservoir for future star formation in G305 and allows the physical properties and kinematics of the region to be studied. We identify 15 large molecular clouds and 57 smaller molecular clumps towards G305. The physical properties of the molecular gas are consistent with G305 being amongst the most massive a vigorous star forming regions in the Galaxy. We find a total molecular gas mass of 2:5–6:5 105M indicating that there is a large reservoir for future star formation. By considering virial equilibrium within the molecular clumps we discover that only 14% of the molecular clumps in G305 are gravitationally unstable, however these clumps contain > 30% of the molecular mass in G305 suggesting there is scope for considerable future star formation. To study the ionised environment towards G305 we have obtained some of the largest and most detailed wide-area mosaics with the Australia Telescope Compact Array to date. These radio continuum observations were performed simultaneously at 5.5 and 8.8 GHz and by applying two imaging techniques we are able to resolve HII regions from the ultra-compact to classical evolutionary phase. This has allowed high-mass star formation within G305 to be traced over the extent and lifetime of the complex. We discover that more than half of the observable total ionising flux in G305 is associated with embedded high-mass star formation around the periphery of a central cavity that has been driven into the molecular gas by a cluster of optically visible massive stars. By considering the contribution of embedded and visible massive stars to the observed radio continuum we suggest that more than 45 massive stars exist within G305. Combination of these two studies and recent and ongoing star formation provides the most in depth view of G305 to date and allows the star formation history and impact of high-mass stars to be investigated. We find compelling morphological evidence that suggests triggering is responsible for at least some of the observed high-mass star formation and construct a star formation history for the region.
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Clustering studies of radio-selected galaxiesPassmoor, Sean Stuart January 2011 (has links)
<p>We investigate the clustering of HI-selected galaxies in the ALFALFA survey and compare results with those obtained for HIPASS. Measurements of the angular correlation function and the inferred 3D-clustering are compared with results from direct spatial-correlation measurements. We are able to measure clustering on smaller angular scales and for galaxies with lower HI masses than was previously possible. We calculate the expected clustering of dark matter using the redshift distributions of HIPASS and ALFALFA and show that the ALFALFA sample is somewhat more anti-biased with respect to dark matter than the HIPASS sample. We are able to conform the validity of the dark matter correlation predictions by performing simulations of the non-linear structure formation. Further we examine how the bias evolves with redshift for radio galaxies detected in the the first survey.</p>
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Clustering studies of radio-selected galaxiesPassmoor, Sean Stuart January 2011 (has links)
<p>We investigate the clustering of HI-selected galaxies in the ALFALFA survey and compare results with those obtained for HIPASS. Measurements of the angular correlation function and the inferred 3D-clustering are compared with results from direct spatial-correlation measurements. We are able to measure clustering on smaller angular scales and for galaxies with lower HI masses than was previously possible. We calculate the expected clustering of dark matter using the redshift distributions of HIPASS and ALFALFA and show that the ALFALFA sample is somewhat more anti-biased with respect to dark matter than the HIPASS sample. We are able to conform the validity of the dark matter correlation predictions by performing simulations of the non-linear structure formation. Further we examine how the bias evolves with redshift for radio galaxies detected in the the first survey.</p>
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