A Comparison Study of Two Methods for Elliptic Boundary Value Problems

In this paper, we perform a comparison study of two methods (the embedded boundary method and several versions of the mixed finite element method) to solve an elliptic boundary value problem

Multi-objective Optimization Based on Improved Differential Evolution Algorithm

On the basis of the fundamental differential evolution (DE), this paper puts forward several improved DE algorithms to find a balance between global and local search and get optimal solutions through rapid convergence. Meanwhile, a random mutation mechanism is adopted to process individuals that show stagnation behaviour. After that, a series of frequently-used benchmark test functions are used to test the performance of the fundamental and improved DE algorithms. After a comparative analysis of several algorithms, the paper realizes its desired effects by applying them to the calculation of single and multiple objective functions

KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation

Vision-and-language navigation (VLN) is the task to enable an embodied agent to navigate to a remote location following the natural language instruction in real scenes. Most of the previous approaches utilize the entire features or object-centric features to represent navigable candidates. However, these representations are not efficient enough for an agent to perform actions to arrive the target location. As knowledge provides crucial information which is complementary to visible content, in this paper, we propose a Knowledge Enhanced Reasoning Model (KERM) to leverage knowledge to improve agent navigation ability. Specifically, we first retrieve facts (i.e., knowledge described by language descriptions) for the navigation views based on local regions from the constructed knowledge base. The retrieved facts range from properties of a single object (e.g., color, shape) to relationships between objects (e.g., action, spatial position), providing crucial information for VLN. We further present the KERM which contains the purification, fact-aware interaction, and instruction-guided aggregation modules to integrate visual, history, instruction, and fact features. The proposed KERM can automatically select and gather crucial and relevant cues, obtaining more accurate action prediction. Experimental results on the REVERIE, R2R, and SOON datasets demonstrate the effectiveness of the proposed method.Comment: Accepted by CVPR 2023. The code is available at https://github.com/XiangyangLi20/KER

Notes on twelve species of jumping spiders from Hainan Island, China (Araneae, Salticidae)

Three new genera and eleven new species are reported from Hainan Island, China. The new genera are Logunattus gen. nov., including L. dufui sp. nov. (♂), and the generotype L. libaii sp. nov. (♂♀), Qiongattus yuanyeae gen. et sp. nov. (♂♀), and Spiralembolus gen. nov., including the generotype S. yinggeling sp. nov. (♂♀), and S. yui sp. nov. (♂♀). Another six new species are Carrhotus qingzhaoae sp. nov. (♂♀), Gedea liangweii sp. nov. (♂♀), Heliophanoides moi sp. nov. (♂), Indopadilla songi sp. nov. (♂♀), Myrmarachne mixiaoqii sp. nov. (♂♀), and Nandicius shihaitaoi sp. nov. (♂♀). The unknown female of the endemic species, Pancorius hainanensis Song & Chai, 1991 is also described for the first time. Diagnostic photos of these species are provided