While modulated arc (mARC) capabilities have been available on Siemens linear accelerators for almost two years now, there was, until recently, only one treatment planning system capable of planning these treatments. The Eclipse treatment planning system now offers a module that can plan for mARC treatments. The purpose of this work was to test the module to determine whether it is capable of c...

Intelligent agents solving problems in the real-world require domain models containing widespread knowledge of the world. Synthesising operator descriptions and domain specific constraints by hand for AI planning domain models is time-intense, error-prone and challenging. To alleviate this, automatic domain model acquisition techniques have been introduced. For example, the LOCM system requires...

Next generation, mission critical systems will require greater exibility, predictability, and reliability than is commonly found in today's systems [17]. While many advances are required to achieve the cost-e ective engineering of these systems, one important research topic is the integration of schedulability and fault tolerance. In the past this topic has been approached by engineering expens...

Stereotactic body radiotherapy (SBRT) is a high precision radiotherapy technique used for the treatment of small to moderate extra-cranial tumours. Early studies utilising SBRT have shown favourable outcomes. However, major disadvantages of static field SBRT include long treatment times and toxicity complications. Volumetric modulated arc therapy (VMAT) and intensity modulated radiotherapy (IMR...

Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are worth the expense. However, when evaluation functions are misguiding or when planning problems are large enough, lots of node evaluations must be computed, which severely limits the scalability of heuristic planners. In th...

We present a constrained optimization method for multi-robot formation control in dynamic environments, where the robots adjust the parameters of the formation, such as size and three-dimensional orientation, to avoid collisions with static and moving obstacles, and to make progress towards their goal. We describe two variants of the algorithm, one for local motion planning and one for global p...

introduction: one of the main sections of warm up is stretching which the importance of them is static and dynamic stretching. the purpose of this study was to examine the effects of static and dynamic stretching within a pre-exercise warm-up on the static and dynamic in soccer players. materials and methods: eighteen physical education female students (height: 159.68 ± 5.94 cm; mass: 60.21 ± 5...

This paper describes the methodology used for development of a static capacity model. It is a well-known fact that no matter how sophisticated the dynamic models are, there is always a need for the simple spreadsheet model. The spreadsheet model helps one carry out simple and fast analyses whenever they are needed. At the Seagate Technology’s Recording Head Operations Wafer Manufacturing facili...

A second-order nonlinear differential equation, of which some solutions describe the static meniscus free surface the static liquid bridge free surface between the shaper and the crystal surface occurring in single crystal ribbon growth, is analyzed. The analysis is focusing on the dependence of the solutions of the equation on the pressure difference p across the free surface. Inequalities are...

Oppgavens tittel (norsk): Bevegelsesplanlegging og regulering av robotmanipulatorer Oppgavens tittel (engelsk): Motion planning and control of robot manipulators Bakgrunn: Robot motion planning systems can be used to plan collision-free paths between start and end robot manipulator configurations. Many motion planners assume that the robot manipulator works in a static environment. However, man...