https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14967 Wed 11 Apr 2018 14:17:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39875 M = 31). Stimuli varied in head pitch angle, eye gaze, and motion/static appearance. Participants rated the stimuli for levels of masculinity, femininity, attractiveness, and dominance. Both studies confirmed that pitching the face upward at incrementally increasing angles resulted in a linear increase in ratings of masculinity, physical dominance, and social dominance and a linear decrease in ratings of femininity, physical attractiveness, and behavioral allure. Study 2 showed that these effects can be dependent on either the perceived structural change of the face or the actual movement of the face, and these are different for each rating category. The perceived dimorphism, attractiveness, and dominance of a face will change dependent on the angle of pitch it is presented but also whether it is moving or not, where it is moving in space, and what direction it is moving.]]> Tue 28 Jun 2022 14:47:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23128 ij). Note that each row (column) of D is associated with a demand (facility) location. We say that column k dominates column l if d_ik ≤ d_il for all i ≠ k . We use the term strongly dominates in the case of strict inequalities. Observe that locating a facility at a dominated location l would provide no advantage to locating a facility at k except possibly in serving the demands of customers in location l. Further, strongly dominated columns would only be used for ‘self-serve’. Consequently, dominated column can be dropped to generate a feasible solution and the location can later be considered as a possible ‘self-service’ facility. We extend the concept of dominance somewhat further as follows. We say columns k and l dominate column j if d_ij ≤min{d_ik, d_il} for all i ≠ j . In this case there is no advantage in using location j (except for serving customers in location j) when locations k and l are used. So again we can drop the dominated column j if columns k and l are used. The term strongly is used as before. We further extend this concept of dominance as follows. We say that column k partially dominates column l if d_ik ≤ d_il for at least half or more of the entries for which i ≠ k . Similarly, we say columns k and l partially dominate column j if d_ij ≥ min{d_ik, d_il} for at least half or more of the entries for which i ≠ j. Partially dominated columns correspond to nodes which may be assigned ‘self-serve’ facilities in the original and the reduced matrix. In this paper, we developed a new greedy algorithm based on a concept known as dominance to obtain solutions for the p-median problem. This concept reduces the number of columns of a distance matrix by considering potential facilities that are near and those that are far from the population or demand. We illustrate our ideas and the algorithm with an example. We further applied the new algorithm to effectively locate additional ambulance stations in the Central and South East metropolitan areas of Perth to complement the existing ones. We also compare the performance of our new Greedy Reduction Algorithm (GRA) with the existing greedy algorithm of the p-median problem.]]> Sat 24 Mar 2018 07:16:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40595 Fri 15 Jul 2022 11:14:12 AEST ]]>