Chinese Science Bulletin

Enriching data to train Visual SLAM and VO construction models using deep learning (DL) is an urgent problem today in computer vision. DL requires a large amount of data to train the model, and more data with many different contextual and conditional conditions will create a more accurate Visual SLAM and VO construction model. In this paper, we introduce the TQU-SLAM benchmark dataset, which includes 160,631 RGB-D frame pairs. It was collected from the corridors of three interconnected buildings with a length of about 230m. The ground truth data of the TQU-SLAM benchmark dataset was prepared m

This work provides a novel use of trajectory planning in agricultural harvesting, with a particular emphasis on harvesting path optimization utilizing Bézier curve navigation and reinforcement learning. The goal of the agent is to learn adaptive trajectories that take into account geographical limits and obstacle-rich situations in the agricultural setting, where efficient harvesting is critical. The suggested method makes use of a Q-network to steer the harvesting machinery along rounded Bézier curves. It then dynamically modifies the pathways to go around obstructions, maximize yield colle

The paper provides a mechanism for reformulating polynomial program using quadratic equations, achieved by an iterative factorization process. Our approach involves reformulating a polynomial programme using quadratic equations. This is done by taking into account the precise range of auxiliary variables and lowering their dimension. This method uses iterative factorization on monomials with a degree greater than two and the widest range to make a quadratic programme with the smallest range of auxiliary variables. Furthermore, the quadratic program is convex with an α-under estimator to obtai

Despite the well-documented importance of NOS in achieving scientific literacy, a significant number of teachers encounter challenges when attempting to effectively integrate NOS principles into their pedagogical practices. This study delved into the complex landscape of Nature of Science Pedagogical Content Knowledge (NOS PCK) utilizing a two-pronged approach, comprising a systematic literature review and in-depth case studies. Through this comprehensive investigation, four key elements emerged as determinants of teachers’ NOS PCK, shedding light on the intricate relationship between concep

The COVID-19 pandemic has significantly influenced consumer behavior, especially in food purchasing habits, which has shifted towards online transactions via Mobile Food Ordering Applications (MFOAs). This study explores how the pandemic-induced behavioral shift affects the utilization of MFOAs, examining four key factors: time savings, money savings, convenience, and privacy concerns, and their influence on user satisfaction and behavior. A comprehensive survey was conducted among MFOA users in Indonesia. Data were analyzed using SPSS and SmartPLS to test hypotheses related to the impact of t