Design for Hiking Safety & Fun

With the urbanization of the world\u27s population, more and more people have begun to choose outdoor hiking to get close to nature and get exercise. But outdoor hiking can be dangerous, and lack of relevant knowledge not only makes hikers have a poor or stressful time, but it can also be fatal. Losing your way in the wilderness encountering wild beasts, an unfamiliar poisonous plant, lack of physical strength, extreme weather, and other accidents will put many travelers into crisis every year. A safe and comfortable outdoor travel experience could not only increase the safety and fun of travel but also attract more people to join in outdoor hiking. With the rapid development of the information age, many high-tech products have entered people\u27s lives. However, In the current outdoor travel field, these high-tech products are not much used. In this article, the author will explore a method to integrate many new technologies such as Differential Global Positioning System (DGPS), Augmented Reality (AR), Big data, and Artificial Intelligence (AI) into one system to create a future outdoor hiking system that greatly improves the safety and provides comfort and fun to travelers

A new numerical simulation model for high pressure squeezing moulding

High pressure squeeze is the most popular moulding process applied in modern moulding machines. Because of the unique characters of moulding sand and nonlinearity of squeezing process, the mechanical model is of key importance for computer simulation. Drucker-Prager/Cap is a typical soil mechanical theory model and it was used to simulate the squeezing process in this study, while ABAQUS software is used to simulate dynamic stress/strain evolution during the process. The simulation agrees well with the experimental results. We conclude that Drucker-Prager/Cap is an appropriate model for the squeezing compaction of moulding sand, and that the associated nonlinearity can be solved well with ABAQUS software

Tris[2-(pyrrol-2-ylmethyl­eneamino)eth­yl]amine

The title compound, C21H27N7, was synthesized by reaction of tris­(2-amino­ethyl)amine and pyrrole-2-carbaldehyde in ethanol at room temperature. The structure is stabilized by intra- and inter­molecular C—H⋯N and N—H⋯N hydrogen-bonding inter­actions

DA-STC: Domain Adaptive Video Semantic Segmentation via Spatio-Temporal Consistency

Video semantic segmentation is a pivotal aspect of video representation learning. However, significant domain shifts present a challenge in effectively learning invariant spatio-temporal features across the labeled source domain and unlabeled target domain for video semantic segmentation. To solve the challenge, we propose a novel DA-STC method for domain adaptive video semantic segmentation, which incorporates a bidirectional multi-level spatio-temporal fusion module and a category-aware spatio-temporal feature alignment module to facilitate consistent learning for domain-invariant features. Firstly, we perform bidirectional spatio-temporal fusion at the image sequence level and shallow feature level, leading to the construction of two fused intermediate video domains. This prompts the video semantic segmentation model to consistently learn spatio-temporal features of shared patch sequences which are influenced by domain-specific contexts, thereby mitigating the feature gap between the source and target domain. Secondly, we propose a category-aware feature alignment module to promote the consistency of spatio-temporal features, facilitating adaptation to the target domain. Specifically, we adaptively aggregate the domain-specific deep features of each category along spatio-temporal dimensions, which are further constrained to achieve cross-domain intra-class feature alignment and inter-class feature separation. Extensive experiments demonstrate the effectiveness of our method, which achieves state-of-the-art mIOUs on multiple challenging benchmarks. Furthermore, we extend the proposed DA-STC to the image domain, where it also exhibits superior performance for domain adaptive semantic segmentation. The source code and models will be made available at \url{https://github.com/ZHE-SAPI/DA-STC}.Comment: 18 pages,9 figure

Light field image processing: an overview

Light field imaging has emerged as a technology allowing to capture richer visual information from our world. As opposed to traditional photography, which captures a 2D projection of the light in the scene integrating the angular domain, light fields collect radiance from rays in all directions, demultiplexing the angular information lost in conventional photography. On the one hand, this higher dimensional representation of visual data offers powerful capabilities for scene understanding, and substantially improves the performance of traditional computer vision problems such as depth sensing, post-capture refocusing, segmentation, video stabilization, material classification, etc. On the other hand, the high-dimensionality of light fields also brings up new challenges in terms of data capture, data compression, content editing, and display. Taking these two elements together, research in light field image processing has become increasingly popular in the computer vision, computer graphics, and signal processing communities. In this paper, we present a comprehensive overview and discussion of research in this field over the past 20 years. We focus on all aspects of light field image processing, including basic light field representation and theory, acquisition, super-resolution, depth estimation, compression, editing, processing algorithms for light field display, and computer vision applications of light field data

Synthesis, crystal structures and optical properties of open-framework gallium phosphates: NaGa3F4(PO4)(2)(H2O)(2) and AGa(2)P(2)O(7)(OH)(3)(H2O) (A = K, Rb)

Three new alkali-metal gallium phosphates NaGa3(PO4)2F4(H2O)2 (1), KGa2P2O7(OH)3(H2O) (2), and RbGa2P2O7(OH)3(H2O) (3) were obtained using hydrothermal methods. Compound 1 crystallizes in the chiral space group P43212. The structure of 1 features a three-dimensional (3D) framework composed of 2D layers of corner-sharing GaO4F2 and GaO2F4 octahedra that are further bridged by PO4 tetrahedra with Na+ cations residing in the oxyfluorinated gallolayers. Compounds 2 and 3 are isostructural, both crystallizing in the centrosymmetric space group P21/c; their structures consist of novel 3D gallophosphate frameworks constructed from Ga4O20 tetramers interconnected by PO4 units with 8-membered ring channels along the b-axis, in which K+/Rb+ cations are located. The diffuse reflectance spectra show that the ultraviolet (UV) cut-off edges are about 292 ​nm (4.25 ​eV), 275 ​nm (4.51 ​eV) and 306 ​nm (4.05 ​eV) for 1-3, respectively. Luminescent studies suggest that 1-3 emit blue light under the excitation of near-ultraviolet light.This work was supported by the National Natural Science Foundation of China (No. 51432006 and 51172100), the Ministry of Education of China for the Changjiang Innovation Research Team (No. IRT14R23),and the Ministry of Education and the State Administration of Foreign Experts Affairs for the 111 Project (No. B13025), the Innovation Program of Shanghai Municipal Education Commission, and the National and Shanghai Postdoctoral Program for Innovative Talents (nos. BX201800216 and 2018192). We thank Professor Mark G. Humphrey in Australian National University and Professor Zhipeng Huang in Tongji University for helpful discussion

Effects of rumen-protective γ-aminobutyric acid additive on lactation performance and serum biochemistry in heat-stressed cows

In the context of global warming, heat stress has become one of the major stress factors limiting dairy cattle production. Although many methods have been explored to help cows mitigate the negative effects of heat stress during the hot summer months, maintaining the performance of high-yielding cows under heat stress is still a great challenge. The aim of this trial was to investigate the effect of RP-GABA in the diet on milk yield, milk composition and serum biochemical parameters in heat-stressed cows. Twenty Chinese Holstein cows in early lactation (51.00 ± 4.92 kg milk/d, 71 ± 10.94 d in milk and 2.68 ± 0.73 parities) were included in this experiment and randomly divided into four groups (n = 5/group). The four experimental groups consisted of one control group (0 g RP-GABA/d) and three treatment groups, given 5, 7.5 and 10 g RP-GABA/d of dry matter (DM) per cow, respectively. The results showed that supplementing high-yielding cows with 10 g/d of RP-GABA improved milk protein production but had no effect on the improvement of other production performance, the alleviation of heat stress in cows, or the improvement of immune function and antioxidant capacity. Ultimately, we conclude that the supplementation of 10 g/d RP-GABA to heat-stressed, high-yielding dairy cows can provide a degree of performance enhancement. Furthermore, our study provides some reference for nutritional improvement measures for summer heat stress in dairy cows, especially high-yielding cows