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The Approach of Complex Insert Packaging Fabrication in Stereolithography
The approach of complex insert packaging fabrication in stereolithography is studied in the
paper. There are many difficulties being overcome, such as the dispensing shadowing problem
caused by the geometric shape of insert, the polymer feeding problem caused by greater insert
height than the layer thickness, and the positioning problem of insert that leads to instability of
packaging. These drawbacks led to unsatisfactory results of the insert packaging in
stereolithography. In order to solve the problems, a new method of complex inserts
packaging fabrication in stereolithography is proposed in this paper. Based on the geometric
information, function and assembly direction of the inserts, the packaging approach is developed.
The approach proposed in this paper has been verified by experiments. It brings considerable
contributions to the application of insert packaging in stereolithography. It is also favorable to
the improvement of insert packaging efficiency and assembly fabricationMechanical Engineerin
Radio Frequency Response of the Strongly Interacting Fermi Gases at Finite Temperatures
The radio frequency spectrum of the fermions in the unitary limit at finite
temperatures is characterized by the sum rule relations. We consider a simple
picture where the atoms are removed by radio frequency excitations from the
strongly interacting states into a state of negligible interaction. We
calculate the moments of the response function in the range of temperature
using auxiliary field Monte Carlo
technique (AFMC) in which continuum auxiliary fields with a density dependent
shift are used. We estimate the effects of superfluid pairing from the clock
shift. We find a qualitative agreement with the pairing gap - pseudogap
transition behavior. We also find within the quasiparticle picture that in
order for the gap to come into quantitative agreement with the previously known
value at T=0, the effective mass has to be . Finally, we
discuss implications for the adiabatic sweep of the resonant magnetic field.Comment: 2 figure
Unsupervised Learning of Complex Articulated Kinematic Structures combining Motion and Skeleton Information
In this paper we present a novel framework for unsupervised kinematic structure learning of complex articulated objects from a single-view image sequence. In contrast to prior motion information based methods, which estimate relatively simple articulations, our method can generate arbitrarily complex kinematic structures with skeletal topology by a successive iterative merge process. The iterative merge process is guided by a skeleton distance function which is generated from a novel object boundary generation method from sparse points. Our main contributions can be summarised as follows: (i) Unsupervised complex articulated kinematic structure learning by combining motion and skeleton information. (ii) Iterative fine-to-coarse merging strategy for adaptive motion segmentation and structure smoothing. (iii) Skeleton estimation from sparse feature points. (iv) A new highly articulated object dataset containing multi-stage complexity with ground truth. Our experiments show that the proposed method out-performs state-of-the-art methods both quantitatively and qualitatively
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