Remark on operator matrices and their Weyl type theorems

In this talk, we study several spectral properties of operator matrices $\begin{pmatrix} A & C \cr Z & B\end{pmatrix}$ acting on an infinite dimensional separable Hilbert space, where the range of $C$ is closed. In particular, we investigate the conditions for such operator matrices to satisfy Weyl\u27s theorem and Weyl type theorems such as $a$-Weyl\u27s theorem, $a$-Browder\u27s theorem, and so on. This talk is based on joint work with Eungil Ko and Ji Eun Lee

A research on the stability of repair-welding for a great truss under the load

 In this paper, we developed the direct repair welding method without eliminating the load when the repair welding of the great steel truss is going. According to the information about the process and data systematized, working for eliminate defect of welding joint and analyzing used FEM on the stability of the process and result of welding-repair were scientific more than the last time at the great structure.  When do this we did not eliminate defect from the part of joint and so it’s not necessity to use any Jackie and turning back. The result of analysis and construction show that this method is very useful in the practice and by then the problem of stability solved clearly and perfectly and the time and efforts had consumed

Determination of shear support capacity of transfer beam with varied section

In the RC structure with transfer beam, if the beam is fixed with the column under the transfer layer, it will cause very big reaction of the support at the supporting point and can cause the serious breaking because the section of the transfer beam is very big. It’s not easy to make the section big for the whole length, so I studied about how to applicate the transfer beam with varied section to increase the capacity by changing the section of the beam around the supporting point. In this thesis, I suggested the formulars of the shear capacity of transfer beam with varied section by using the program ABAQUS

Active recognition and domain adaptation for 6D object pose estimation

Object pose estimation is an important task in computer vision with a wide range of applications including robotics and Augmented Reality. I investigate the problems of occlusion and lack of annotated real data in 6D object pose estimation in this thesis. The main contributions of this thesis are building a 6D object pose estimation system for a crowded scene for both single image and multiple images, and a proposal of a new self-supervised learning framework. The thesis first introduces a single-image pose estimation framework for a crowded scene, where the objects are under severe occlusions. Existing 6D pose estimators are unable to tackle such challenging scenarios, motivating the research towards end-to-end multi-task learning framework. A new training data generation framework is proposed which produces images of physically plausible object pose with a physics simulation. The second contribution of this thesis explores how a strategic selection of camera movements can facilitate the task of 6D multi-object pose estimation for the crowded scenarios while respecting real-world constraints. The proposed agent learns the camera moves that produce the accurate object poses hypotheses for a given temporal and spatial budget. The last contribution of this thesis is its introduction of self-supervised learning framework for domain adaptation for 6D object pose estimation. Conventionally, Deep Neural Network (DNN) based methods are trained primarily using rendered images of 3D object models. Since such methods do not generalise well to real testing data, DNNs also exploit real RGB images with accurate 6D pose labels. The issue here is in a lack of real annotated data, since annotating 6D poses for 2D images in quality and quantity is hard. A novel self-supervised learning method is proposed, which results in a domain-invariant 6D pose estimator without pose labels of real data.Open Acces

Rate-dependent inhomogeneous-to-homogeneous transition of plastic flows during nanoindentation of bulk metallic glasses: Fact or artifact?

There has been considerable controversy over the "apparent" rate-dependent transition from inhomogeneous-to-homogeneous flow during nanoindentation of bulk metallic glasses (BMGs) at room temperature: whether it arises from the existence of homogeneous-flow regime in BMG deformation map or is an artifact due to the instrumental blurring at high rates. To provide a clue to address this dispute, the authors performed nanoindentation experiments on a Zr-based BMG with two geometrically self-similar indenters. The results are discussed in terms of the discrete plasticity ratio, which is a useful parameter in analyzing the contribution of inhomogeneous plasticity to the total plastic deformation.open232

The Injectable rhBMP-2-containing Collagen Gel for Tendon Healing in a Rabbit Extra-Articular Bone Tunnel Model

This rabbit animal study has a hypothesis that the collagen gel, which is injectable easily, can be an effective carrier for recombinant human bone morphogenetic protein 2 (rhBMP-2) for the tendon healing in a bone tunnel. The cut upper long digital extensor tendon of each rabbit was inserted into the proximal tibia bone tunnel, and rhBMP-2 conjugated collagen gel was injected into the tendon-bone tunnel interface using a syringe. Biomechanical and histological performances were analyzed at 3 and 6 weeks after surgery. The collagen sol at room temperature was transformed to a gel at 37°C. The rhBMP-2 was slowly released from the collagen gel for more than 4 weeks. The in vivo experiment showed the enhanced new fibrocartilage and bone tissue formation at 6 weeks after injecting the rhBMP-2-containing collagen gel. The calcification and enthesis-like tissue were detected radiologically in the repaired tendon-bone junction. The viscous collagen gel-containing rhBMP-2 increased the fusion rate of the repaired tendon in the bone tunnel. This study showed that viscous collagen gel can be an effective carrier for rhBMP-2 for tendon healing in the bone tunnel. The rhBMP-2-containing collagen gel will be promising for tendon-bone interface healing in the future