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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
A Phantom Assessment Of Achievable Contouring Concordance Across Multiple Treatment Planning Systems, Elise M. Pogson, Jarrad Begg, Michael Jameson, Claire Dempsey, Drew Latty, Vikneswary Batumalai, Andrew Lim, Kankean Kandasamy, Peter E. Metcalfe, Lois C. Holloway
A Phantom Assessment Of Achievable Contouring Concordance Across Multiple Treatment Planning Systems, Elise M. Pogson, Jarrad Begg, Michael Jameson, Claire Dempsey, Drew Latty, Vikneswary Batumalai, Andrew Lim, Kankean Kandasamy, Peter E. Metcalfe, Lois C. Holloway
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, the highest level of inter- and intra-observer conformity achievable with different treatment planning systems (TPSs), contouring tools, shapes, and sites have been established for metrics including the Dice similarity coefficient (DICE) and Hausdorff Distance. High conformity values, e.g. DICEBreast_Shape = 0.99 ± 0.01, were achieved. Decreasing image resolution decreased contouring conformity.
Evaluating Distributed Generations In Utility Operation And Planning Issues Using A Novel Fusion Pso-Sfla Algorithm, Esmaeil Mahboubi-Moghaddam, Jamshid Aghaei, Kashem M. Muttaqi, Behrouz Zoghdar-Moghadam-Shahrekohne, Mohammad Rasoul Narimani
Evaluating Distributed Generations In Utility Operation And Planning Issues Using A Novel Fusion Pso-Sfla Algorithm, Esmaeil Mahboubi-Moghaddam, Jamshid Aghaei, Kashem M. Muttaqi, Behrouz Zoghdar-Moghadam-Shahrekohne, Mohammad Rasoul Narimani
Faculty of Engineering and Information Sciences - Papers: Part A
Increasing demand of electrical energy has leaded to utilization of more and more Distributed generation (DG) sources in distribution systems. Since the locations and capacities of the DG sources connected to the distribution system profoundly impact on reducing system loss and improving system reliability, so placement and sizing indication of DGs is the most substantial process in distribution systems. By adding the reliability objective to this problem, it becomes more complicated than before and it needs to be solved with an accurate algorithm. To this reason, to solve the proposed problem a new approach based on the mixture of two …
A Practical Path Planning Methodology For Wire And Arc Additive Manufacturing Of Thin-Walled Structures, Donghong Ding, Zengxi Pan, Dominic Cuiuri, Huijun Li
A Practical Path Planning Methodology For Wire And Arc Additive Manufacturing Of Thin-Walled Structures, Donghong Ding, Zengxi Pan, Dominic Cuiuri, Huijun Li
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a novel methodology to generate deposition paths for wire and arc additive manufacturing (WAAM). The medial axis transformation (MAT), which represents the skeleton of a given geometry, is firstly extracted to understand the geometry. Then a deposition path that is based on the MAT is efficiently generated. The resulting MAT-based path is able to entirely fill any given cross-sectional geometry without gaps. With the variation of step-over distance, material efficiency alters accordingly for both solid and thin-walled structures. It is found that thin-walled structures are more sensitive to step-over distance in terms of material efficiency. The optimal …
Multi-Period Liner Ship Fleet Planning With Dependent Uncertain Container Shipment Demand, Qiang Meng, Tingsong Wang, Shuaian Wang
Multi-Period Liner Ship Fleet Planning With Dependent Uncertain Container Shipment Demand, Qiang Meng, Tingsong Wang, Shuaian Wang
Faculty of Engineering and Information Sciences - Papers: Part A
This paper deals with a realistic multi-period liner ship fleet planning problem by incorporating stochastic dependency of the random and period-dependent container shipment demand. This problem is formulated as a multi-period stochastic programming model with a sequence of interrelated two-stage stochastic programming (2SSP) problems characterized ship fleet planning in each single period. A solution method integrating dual decomposition and Lagrangian relaxation method is designed for solving the developed model. Numerical experiments are carried out to assess applicability and performance of the proposed model and solution algorithm. The results further demonstrate importance of stochastic dependence of the uncertain container shipment demand.