An inspection technology of inner surface of the fine hole based on machine vision

Fine holes are an important structural component of industrial components, and their inner surface quality is closely related to their function.In order to detect the quality of the inner surface of the fine hole,a special optical measurement system was investigated in this paper. A sight pipe is employed to guide the external illumination light into the fine hole and output the relevant images simultaneously. A flexible light array is introduced to suit the narrow space, and the effective field of view is analyzed. Besides, the arc surface projection error and manufacturing assembly error of the device are analyzed, then compensated or ignored if small enough. In the test of prefabricated circular defects with the diameter {\phi}0.1mm, {\phi}0.2mm, 0.4mm distance distribution and the fissure defects with the width 0.3mm, the maximum measurement error standard deviation are all about 10{\mu}m. The minimum diameter of the measured fine hole is 4mm and the depth can reach 47mm

Global Existence and Regularity for the Active Liquid Crystal System

We study the hydrodynamics of active liquid crystals in the Beris-Edwards hydrodynamic framework with the Landau-de Gennes Q-tensor order parameter to describe liquid crystalline ordering. For the incompressible case, the existence of global weak solutions in two and three spatial dimensions is established. The higher regularity of the weak solutions and the weak-strong uniqueness are also obtained by using the Littlewood-Paley decomposition in two space dimensions. For the inhomogeneous incompressible case, Faedo-Galerkin's method is adopted to construct the solutions for the initial-boundary value problem. Two levels of approximations are used and the weak convergence is obtained through compactness estimates by new techniques due to the active terms. The existence of global weak solutions in dimension two and three is established in a bounded domain. For the compressible case where the concentration of the active particles in the system is not constant, we prove the existence of global weak solutions for this active system in three space dimensions by the three-level approximations and weak convergence argument. New techniques and estimates are developed to overcome the difficulties caused by the active terms

Fang Dongmei (1899–1977) und sein Religionsverständnis

Diese Dissertation befasst sich mit dem Philosophen Fang Dongmei und seinem Religionsverständnis. Er wurde in eine Umbruchszeit hineingeboren, die vom Zusammenstoßen der chinesischen und der abendländischen Kultur geprägt war. Angesichts der bitteren Niederlagen Chinas in den militärischen Konfrontationen hielten viele chinesische Intellektuelle die westliche Kultur für die fortschrittlichere und einzig zukunftsfähige. Sie befürworteten eine totale Verwestlichung und eine Verwerfung der chinesischen traditionellen Kultur. Es gab in dieser Zeit aber auch eine andere Gruppe Intellektueller, die vom Wert der traditionellen chinesischen Kultur überzeugt war und es weiterhin ist. Diese bemühte sich um die Wiederbelebung der chinesischen Tradition in der modernen Gesellschaft und eine Integration der abendländischen Philosophie in die chinesische. Fang Dongmei zählt zu diesen Intellektuellen und spielt eine wichtige Rolle bei diesem Prozess. Die Fragen, die Fang Dongmei mit großer Aufmerksamkeit verfolgte, sind die Fragen nach dem Kosmos, dem Menschen und der Beziehung zwischen Himmel und Menschen. Um Fang Dongmeis Religionsverständnis aufzudecken, soll aber zunächst nach seiner Auffassung vom Kosmos und vom Menschen gefragt werden. Diese Arbeit folgt diesem Schema. In Fang Dongmei ist eine Gottesauffassung tief verwurzelt, die er mit einer typischen chinesischen Lehre, der „Himmel-Mensch-Einheit“, und dem Organismus des Huayan-Buddhismus umgestaltet. Seine Gottesauffassung besitzt einen unverkennbaren chinesischen Charakter. Er sieht in der Gottheit eine unerschöpfliche Kreativität und eine geistige Kraft voller Liebe. Er lehnt den personalen Gott ab. In der Religion sucht man nach der Bedeutung und dem Ziel des Lebens und nach den fassbaren Wegen zu diesem Ziel. In diesem Sinne ist die Philosophie Fang Dongmeis auch eine Philosophie der Religion. Fang Dongmei ist davon überzeugt, dass Religion für das menschliche Leben unentbehrlich ist, da sie die menschliche Beziehung zu Gott und zur Umwelt koordiniert sowie das menschliche Leben sublimiert. Man spricht heute vom Zusammenbruch des Moralsystems in der chinesischen Gesellschaft. Immer mehr Menschen begeben sich auf die Suche. Kirchen und Tempel freuen sich über ansteigende Besucherzahlen. Unter den Intellektuellen wird in zunehmendem Maße über die Frage diskutiert, wie das harmonische und einheitliche Verhältnis zwischen Menschen und Natur und zwischen Mitmenschen wieder hergestellt werden soll. Dies könnte auch der Grund dafür sein, dass die Philosophie Fang Dongmeis nach langer Vernachlässigung nun wieder entdeckt wurde. Seine Überzeugung, Religion kann eine gute Lösung für die kulturelle Krise Chinas sein, findet breite Zustimmung

A CCBM-based generalized GKB iterative regularizing algorithm for inverse Cauchy problems

This paper examines inverse Cauchy problems that are governed by a kind of elliptic partial differential equation. The inverse problems involve recovering the missing data on an inaccessible boundary from the measured data on an accessible boundary, which is severely ill-posed. By using the coupled complex boundary method (CCBM), which integrates both Dirichlet and Neumann data into a single Robin boundary condition, we reformulate the underlying problem into an operator equation. Based on this new formulation, we prove the existence of a unique solution even in cases with noisy data. A Golub-Kahan bidiagonalization (GKB) process together with Givens rotation is employed for iteratively solving the proposed operator equation. The regularizing property of the developed method, called CCBM-GKB, and its convergence rate results are proved under a posteriori stopping rule. Finally, a linear finite element method is used for the numerical realization of CCBM-GKB. Various numerical experiments demonstrate that CCBM-GKB is a kind of accelerated iterative regularization method, as it is much faster than the classic Landweber method

Lace Up and Mindfulness: A Randomized Controlled Trial Intervention to Reduce Emotional Eating, Anxiety, and Sleep Disturbances in Latinx and Black Youth

This study assessed the effects of a 12-week afterschool mindfulness-based diet and exercise intervention on mental and physical health in Latinx and Black youth. One hundred forty-eight boys and girls (average age = 10.1 years, SD = 1.3 years; 52% girls; 72.3% Latinx) were randomized to either the experimental group (n = 80) or the control group (n = 68). The experimental group participants engaged in fitness yoga, kickboxing, and/or spinning sessions, and mindfulness practices (e.g., breathing, meditation, and mindful eating) twice per week for 12 weeks. The control group participants engaged in a recreational play session once per week for 12 weeks. All participants completed surveys (demographics, acculturation, anxiety, emotional eating, sleep, and food intake) and had their height, weight, and percent body fat measured pre- and post-intervention. Participants wore an accelerometer for 7 days pre- and post-intervention. Repeated measures analysis of covariance indicated that the experimental group participants reported lower scores in emotional eating, anxiety, and sleep latency post-intervention compared to the control group participants. Conversely, no significant differences were observed in physical activity between the experimental and control group participants post-intervention. These findings indicate that a mindfulness-based intervention has a positive effect on emotional eating, anxiety, and sleep latency among youth of color

A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images

In synthetic aperture radar (SAR) image change detection, it is quite challenging to exploit the changing information from the noisy difference image subject to the speckle. In this paper, we propose a multi-scale spatial pooling (MSSP) network to exploit the changed information from the noisy difference image. Being different from the traditional convolutional network with only mono-scale pooling kernels, in the proposed method, multi-scale pooling kernels are equipped in a convolutional network to exploit the spatial context information on changed regions from the difference image. Furthermore, to verify the generalization of the proposed method, we apply our proposed method to the cross-dataset bitemporal SAR image change detection, where the MSSP network (MSSP-Net) is trained on a dataset and then applied to an unknown testing dataset. We compare the proposed method with other state-of-arts and the comparisons are performed on four challenging datasets of bitemporal SAR images. Experimental results demonstrate that our proposed method obtains comparable results with S-PCA-Net on YR-A and YR-B dataset and outperforms other state-of-art methods, especially on the Sendai-A and Sendai-B datasets with more complex scenes. More important, MSSP-Net is more efficient than S-PCA-Net and convolutional neural networks (CNN) with less executing time in both training and testing phases